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Version 3.13

Automatic Cell

Planning (ACP)

User Guide

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Documentation Version: ACP-v3.13, June 2010

Software Version: Actix Radioplan ACP v3.13

Actix Radioplan v3.13

The content of this manual is provided for information only, is subject to change without notice, and should not be construed as a commitment by Actix. Actix assumes no responsibility or liability for any errors or inaccuracies that appear in this documentation.

Copyright © 2001–2010 by Actix GmbH. All rights reserved.

Trademark Notice

Radioplan is a registered trademark of Actix GmbH in the European Union. Actix and the Actix logo are trademarks of Actix Ltd.

All other product or brand names are trademarks or registered trademarks of their respective holders.

Contact:

Actix GmbH Actix Ltd

Altmarkt 10 200 Hammersmith Road

D-01067 Dresden Hammersmith

Germany London, W6 7DL

tel.: +49 (0) 351 404 29 – 0 United Kingdom

fax: +49 (0) 351 404 29 – 50 www.actix.com

e-mail: [email protected] www.actix.com

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Contents

1

I

NTRODUCTION

... 7

1.1 OBJECTIVES OF NETWORK OPTIMIZATION ... 7

1.2 CHALLENGES IN RADIO NETWORK OPTIMIZATION ... 8

1.3 ADVANTAGES OF THE ACTIX RADIOPLAN SOLUTION ... 9

2

R

ADIOPLAN

ACP

O

VERVIEW

... 11

2.1 RADIOPLAN ACP NETWORK OPTIMIZATION PROCESS ... 11

2.2 ACTIX RADIOPLAN INTEGRATION IN THE PLANNING AND OPTIMIZATION PROCESS ... 13

2.3 OPTIMIZATION TASKS ... 14

2.3.1 Site Selection and Site Integration ... 14

2.3.2 Capacity and Coverage (Cell Parameter) Optimization ... 15

2.3.3 Overshooting Cells Detection and Handling ... 16

2.3.4 Optimization Series ... 16

2.4 MAIN ELEMENTS IN THE GRAPHICAL USER INTERFACE ... 17

3

O

PTIMIZATION

-

G

ENERAL

S

ETTINGS

... 20

4

O

PTIMIZATION

P

ROJECT

C

ONFIGURATION

... 24

4.1 NETWORK LAYER ... 24

4.2 AREAS ... 25

4.3 CLUTTER CLASSES SETTINGS ... 28

4.4 ANTENNA SETTINGS ... 29

4.5 SITE SETTINGS ... 32

4.6 CELL SETTINGS ... 34

4.6.1 Optimization Capabilities ... 35

4.6.1.1 Conditions for Shared Antenna Parameters ... 39

4.6.2 General Settings ... 40

4.6.3 Resources Settings ... 41

4.6.4 HSDPA Settings (UMTS only) ... 45

4.6.5 Transmitters Settings (GSM and iDEN only) ... 48

4.6.6 Custom Parameters Settings ... 50

4.7 ADDITIONAL ANTENNA SETTINGS ... 52

4.8 REPEATER SETTINGS ... 52

4.9 USER, TRAFFIC, AND REVENUE CONFIGURATION ... 54

5

O

PTIMIZATION

W

IZARD

... 56

5.1 ANALYSIS SETTINGS ... 56

5.1.1 Analysis Settings for CDMA and UMTS ... 56

5.1.2 Analysis Settings for GSM and iDEN ... 57

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5.1.13 HSDPA (UMTS only) ... 70

5.1.14 EVDO (CDMA only) ... 72

5.1.15 Use GPEH Data (UMTS only) ... 72

5.2 OPTIMIZATION WIZARD ... 73

5.2.1 Template Selection ... 73

5.2.2 Optimization Task Selection and Optimization Plot Settings ... 74

5.2.2.1 CDMA or UMTS Target Network Layer(s) ... 74

5.2.2.2 GSM or iDEN Target Network Layer(s) ... 76

5.2.2.3 WiMAX Target Network Layer(s) ... 77

5.2.2.4 LTE Target Network Layer(s) ... 78

5.2.3 Sites To Be Integrated... 79

5.2.4 Target and Constraint Network Layers for Multi-Layer Optimization ... 80

5.2.5 Settings for Target Layers (Analysis Settings) ... 81

5.2.5.1 Additional Thresholds (CDMA and UMTS only) ... 82

5.2.5.2 Neighbor Cell Detection ... 83

5.2.5.3 Method for Electrical Tilt Optimization ... 84

5.2.5.4 Overshooting Cell Compensation ... 84

5.2.6 Settings for Constraint Layers ... 85

5.2.7 Cost Control ... 88

5.2.8 Configuration Summary ... 92

5.2.9 Optimization Results ... 92

5.3 REVENUE ANALYSIS ... 93

5.3.1 Covered Revenue Function ... 93

6

O

PTIMIZATION

A

NALYSIS

... 94

6.1 OPTIMIZATION PROGRESS ... 96

6.1.1 Updating the Automatic Optimization Plots ... 96

6.1.2 Optimization Progress Chart ... 97

6.2 ANALYSIS PLOTS ... 100

6.2.1 Best Pilot Received Power / Best RxPower / Best Pilot RSCP / Best Pilot RSSI (CDMA, UMTS, WiMAX, and LTE) ... 100

6.2.2 Best RxLev_DL Power (GSM and iDEN only) ... 102

6.2.3 Best Cell Areas of All, Reconfigurable, and Relevant Cells ... 103

6.2.4 RSSI (CDMA and UMTS only) ... 104

6.2.5 Best Pilot Ec/Io (CDMA and UMTS only) ... 107

6.2.6 Best Pilot CINR / Best C/I (WiMAX only) ... 108

6.2.7 Best Pilot SINR (LTE only)... 109

6.2.8 Best C/I (GSM and iDEN only) ... 110

6.2.9 Pilot RSCP Coverage (CDMA, UMTS, and LTE) ... 111

6.2.10 Pilot RSSI Coverage (WiMAX only) ... 112

6.2.11 RxLev_DL Coverage (GSM and iDEN only) ... 113

6.2.12 Pilot RSCP Coverage Threshold (CDMA, UMTS, and LTE) ... 113

6.2.13 Pilot RSSI Coverage Threshold (WiMAX only) ... 114

6.2.14 RxLev_DL Coverage Threshold (GSM and iDEN only) ... 114

6.2.15 Pilot Ec/Io Coverage (CDMA and UMTS only) ... 114

6.2.16 Pilot CINR Coverage (WiMAX only) ... 115

6.2.17 Pilot SINR Coverage (LTE only) ... 115

6.2.18 C/I Coverage (GSM and iDEN only) ... 116

6.2.19 Pilot Ec/Io Coverage Threshold (CDMA and UMTS only) ... 116

6.2.20 Pilot CINR Coverage Threshold (WiMAX only) ... 117

6.2.21 Pilot SINR Coverage Threshold (LTE only) ... 117

6.2.22 C/I Coverage Threshold (GSM and iDEN only) ... 117

6.2.23 Best Cell Overlap ... 118

6.2.24 Cell Overlap Ratio per Cell... 119

6.2.25 Site Overlap Ratio per Site ... 119

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6.2.26.1 User Activity Factor ... 122

6.2.26.2 DL or UL Service Activity Factor ... 123

6.2.26.3 DL or UL Radio Bearer Activity Factor ... 124

6.2.26.4 DL or UL Service Correction Factor ... 125

6.2.26.5 Special Case: HSDPA Users ... 126

6.2.27 Absolute Traffic ... 126

6.2.28 Relative Traffic per Cell (CDMA and UMTS only) ... 127

6.2.29 Relative Load per Cell (CDMA and UMTS only) ... 128

6.2.30 Users per Cell ... 129

6.2.31 Cell Sizes ... 130

6.2.32 CQI (UMTS only) ... 130

6.2.33 Total Revenue ... 132

6.2.34 Covered Revenue ... 133

6.2.35 Lost Revenue ... 134

6.2.36 Total Revenue per Cell ... 135

6.2.37 Covered Revenue per Cell ... 136

6.2.38 Lost Revenue per Cell ... 137

6.3 GRAPHICAL ANALYSIS OF CHANGES AFTER OPTIMIZATION ... 138

6.3.1 Cell Changes (Overview) ... 138

6.3.2 Tilt, Azimuth, or Power Changes ... 139

6.3.3 Difference of the Relative Load per Cell (CDMA and UMTS only)... 140

6.3.4 Relative Score per Cell ... 141

6.3.5 Difference of the Covered Revenue per Cell... 142

6.3.6 Difference of the Lost Revenue per Cell ... 143

7

O

PTIMIZATION

R

ESULTS

... 145

7.1 RESULTS DIALOG ... 145

7.1.1 Change List ... 149

7.1.2 Work Order ... 149

7.2 OPTIMIZATION SUMMARY REPORT ... 149

7.3 SUBMIT TO DATABASE ... 154

8

O

PTIMIZATION

A

LGORITHMS

... 157

8.1 OPTIMIZATION PRINCIPLES ... 157

8.1.1 Basic Optimization Method ... 158

8.1.1.1 Focus on RF Network Characteristics ... 159

8.1.2 Search Window Defined by Max. Steps Up and Down ... 160

8.1.3 Required Performance Improvement (RPI) ... 161

8.1.4 Coverage Constraints ... 162

8.1.4.1 Preferred Coverage Objective ... 165

8.1.5 Optimization Performance ... 166

8.1.6 ROI and Revenue Thresholds ... 166

8.2 SITE SELECTION OPTIMIZER ... 168

8.2.1 Project Configuration ... 168

8.2.2 Problem Analysis ... 169

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8.3.5 Objective Function and Side Constraints for GSM and iDEN Target

Network Layers depending on the RxLev_DL vs. Overlap Slider ... 187

8.3.6 Additional Side Constraints by Constraint Network Layers ... 189

8.3.7 Algorithm Sequence ... 190

8.4 SITE INTEGRATION OPTIMIZER ... 191

8.4.1 Project Configuration ... 191

8.4.2 Problem Analysis ... 191

8.4.3 Site Integration Optimization Configuration ... 191

8.4.4 Objective Function and Side Constraints ... 192

8.5 OVERSHOOTING CELLS OPTIMIZER ... 192

8.5.1 Project Configuration ... 192

8.5.2 Problem Analysis ... 192

8.5.3 Overshooting Cells Optimization Configuration ... 192

8.5.4 Objective Function and Side Constraints ... 193

9

C

USTOMIZATION

... 195

9.1 DEFAULT AND USER-DEFINED CONFIGURATION FILES ... 195

9.2 CUSTOMIZABLE CONFIGURATION PARAMETERS ... 196

10

R

UNNING

O

PTIMIZATION

S

ERIES

... 219

11

A

BBREVIATIONS

... 222

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2

1 Introduction

The Actix Radioplan software comprises the Automatic Cell Planning (ACP) tool, which enables a highly efficient automated 2G and 3G network optimization that is easily integrated into the network operator‟s planning and optimization processes. Thus, it ensures a profitable network setup for achieving the maximum coverage, capacity, and service quality at minimum costs.

1.1 Objectives of Network Optimization

Network optimization is the process of steadily improving the network setup from the planning stage up to the live optimization of the running network.

The key objectives of network optimization are thus:

Cut down operational and capital expenditures significantly

Increase data service revenues and maintain a high quality of service with a cost-efficient network setup

Reduce the time to market for new network setups and new services significantly Evolve the network in a controlled manner in alignment with the marketing traffic forecast

Ensure a leading edge position regarding network quality and capacity against competing networks

Two main tasks can be distinguished where the optimal network setup has to be found: the deployment of the required infrastructure (launch) and

the maximum utilization of the existing infrastructure (post-launch).

The launch task corresponds to the initial deployment of the network as well as to the extension of an existing network by additional sites. It is characterized by:

the selection of the base station sites and the initial cell configurations.

The post-launch task corresponds to stabilizing and adapting the launched network best to the real-world environment. It is characterized by:

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2

1.2 Challenges in Radio Network Optimization

So far both tasks, the network deployment and the maximum utilization of the existing infrastructure, rely on experienced planning engineers that manually select sites or reconfigure the planned network setup based on their RF and radio technology expertise thereby usually using extensive drive test data and/or a planning tool for evaluation. Such a planning tool incorporates pathloss predictions as well as terrain and clutter information and may also include a static simulator, which incorporates the assumptions on the traffic load, traffic distribution, and service mix.

This approach is very time-consuming, tedious, and error-prone, especially for large areas. Instead, an automated process relieves the planning and/or optimization engineer from the repeating manual tasks and can thus save much engineering time. Moreover, it enables the evaluation of many more possible network setups based on clearly defined performance measures and cost constraints, thus providing the engineer with a network setup that is much more comprehensive and cost-effective.

Even more than in 2G TDMA radio networks, the capacity and quality of a 3G W-CDMA network strongly depends on the spatial multi-service traffic distribution. Therefore, if 3G traffic measurements or at least forecasts are already available and reliable, the network optimization needs to consider that traffic data.

However, the traffic-relevant evaluation of each configuration change during the iterative optimization process by means of reliable simulation results is very time-consuming. Moreover, before applying the optimized network setup to the network, it may be validated by a planning tool using static simulations. Hence, the optimization and the validation method, both using simulations, would not be independent from each other.

Generally, the success of the network optimization in the planning process, whether manual or automated, is predetermined by the accuracy of the planning data, namely by the predictions and, if available, incorporated measurements of the pathloss and the user behavior.

Last but not least, a successful automated optimization is not only required to quickly produce its results, but also to be closely integrated into the planning process and workflows as well as to provide comprehensive analysis and reporting capabilities as well as a high usability.

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2

1.3 Advantages of the Actix Radioplan Solution

Actix Radioplan ACP has superior characteristics compared to competing approaches due to the following aspects:

Simple to integrate into existing 2G and 3G network planning and optimization workflows. Entire planning data configurations can be imported into Radioplan ACP in a single step without any further modification – e.g. via the Atoll

Synchronization Module (ASM) or other planning-tool-specific plugins to Radioplan ACP. Thus, the optimization process totally relies on planning data, namely the network setup, pathloss maps, DEM terrain maps, clutter maps, multi-service traffic maps (optionally), and the optimization constraints. The planning data can also be tuned and updated with measurement data from drive tests in the real network. The Radioplan ACP optimization process and its workflow integration is described in chapter 2.

Closely supports both launch and post-launch optimization tasks by individual optimization algorithms that match the specific planning goals. Corresponding optimization tasks of Radioplan ACP are described in section 2.3.

Highly efficient because its basic approach does not utilize an inherent network

simulation in the iterative optimization process. This approach is justified by the sophisticated computation of the objective function that accounts for the network load induced by users according to the multi-service traffic distribution as well as the interference between cells due to the network load. Moreover, the Radioplan ACP approach is designed to find the maximum improvement in coverage,

capacity, and quality in the shortest time. Thereby cost constraints defined by the network operator are incorporated. The optimization technique is described in chapter 8.

Highly reliable because already in the planning process the optimization results

can be independently validated by static and dynamic simulations using the integrated Radioplan Network Simulator. This validation of the performance improvement resulting from the optimization is very reliable because the objective functions used for capacity and coverage optimization do not apply simulations and are thus independent from the validation method. Additionally, the optimization results can easily be validated by drive-test measurements from the live network. Moreover, the user can decide to what extent the possibly uncertain traffic forecasts shall be incorporated in the optimization. The optimization process is described in section 2.1 and the optimization technique in more detail in chapter 8.

Easy and intuitive to use. The graphical user interface effectively supports the

user throughout the entire optimization process. In particular, it provides comprehensive reporting and graphical analysis capabilities including powerful direct comparisons of the initial and the optimized network setups and the optimization progress is permanently communicated to the user including an

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2

2 Radioplan ACP Overview

2.1 Radioplan ACP Network Optimization Process

The Radioplan ACP network optimization process relies on planning data that is possibly tuned and updated with measurement data from the live network. In particular, the network setup, pathloss maps, DEM terrain maps, the clutter map, multi-service traffic maps (optionally), and the optimization constraints are fed into the optimization process, Fig. 2-1.

reconfiguration of the network setup

DEM map clutter map

objective function

network setup pathloss maps

pre-analysis QoS validation constraints traffic maps Simulations or Measurements (optional) Simulations or Measurements (optional)

High-speed iterative process reconfiguration

of the network setup

DEM map clutter map

objective function

network setup pathloss maps

pre-analysis QoS validation constraints traffic maps Simulations or Measurements (optional) Simulations or Measurements (optional)

High-speed iterative process

Fig. 2-1 Network optimization process supported by Radioplan ACP

The initial network setup can be analyzed instantly by a set of analysis plots that highlight optimization-relevant performance measures and illustrate the objective functions.

Thereby problem areas can be identified and the need for and required extent of optimization can be determined.

Generally, the network setup can be reconfigured by selecting: site locations and

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2 The optimization tasks that are targeted by the Radioplan ACP optimization algorithms are

described in section 2.3.

Appropriate objective functions have been defined for these optimizers:

An objective function that represents the coverage probability is used to maximize the coverage.

An objective function that represents the cell load or cell overlapping is used to minimize interference and power consumption in order to maximize the capacity and service quality.

Since the optimization is often a trade-off between conflicting goals, the objective functions are additionally combined with constraints, e.g. with respect to coverage, balanced network load, and above all costs.

The optimization algorithms employ these objective functions in different ways – as described in chapter 8.

As also illustrated in Fig. 2-1, the optimization process is an iterative procedure where alternately the objective function is computed over the optimization region and then certain network parameters are adjusted. This means implicitly that apart from the calculation of the objective function, which is based on the available planning and measurement data, no expensive simulation of the network is performed during capacity and coverage optimization. This fact greatly contributes to the extreme efficiency of the method applied.

Moreover, the deterministic Direction Set (“Powell‟s”) algorithm that is applied in the optimization method – combined with a partitioning into local groups of affected cells and with heuristics based on Actix‟s extensive radio network expertise – ensure that the optimum network setup can be found within the huge parameter space of the optimization problem extremely fast.

In addition to that all available system resources can be efficiently exploited because Radioplan ACP supports parallel processing.

During the automated optimization process animated plots and charts illustrate the progress of the reconfigurations that are accepted by the evaluation heuristics as well as their impact on performance measures and objective functions.

Analysis and validation capabilities allow a direct comparison of the network setup before and after optimization as well as reporting. Moreover, exporting functions support the feedback of the optimization results in the planning and optimization process and their application in the live network.

Optimization capabilities configuration in each project Problem analysis Optimizer configuration Optimization results analysis and reporting Optimization process - including progress indication and automatic optimization plots

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2 Radioplan ACP efficiently supports the following sub-steps of the network optimization

process – as illustrated in Fig. 2-2:

Optimization capabilities configuration in the Radioplan project:

by optimization-relevant settings that can be specific to each project – see chapter 4;

Problem analysis for an appropriate optimizer configuration:

by a large variety of Analysis Plots as part of the comprehensive Radioplan data visualization and analysis capabilities – see chapter 6;

Optimizer configuration:

by the Optimization Wizard – see chapter 5; Optimization process:

by a visualization of the optimization progress – see chapter 6; Optimization results analysis and reporting:

by a variety of plots and reports as part of the comprehensive Radioplan data visualization and analysis capabilities – see chapters 7.

2.2 Actix Radioplan Integration in the Planning and

Optimization Process

As a part of Actix Radioplan, the automated network optimization provided by Radioplan ACP is integrated with planning tools and measurement equipment usually applied in the planning and optimization process as depicted in Fig. 2-3.

Planning Tool

DEM & Clutter

Maps Radio Access Network

Measurement Equipment

Drive Test Analysis

Dynamic & Static Network Simulation

Automated

Network Optimization

Site and antenna height selection and adaptation of:

• antenna tilt • antenna azimuth • antenna type/pattern • cell power Tuning of

Planning Data Network Layout & Performance

Database Investig. & Focus Areas Pathloss Maps Traffic Maps Con-straints Planning Database Network Setup Optimizing of Planning Data Planning Tool DEM & Clutter Maps Radio Access Network

Measurement Equipment

Drive Test Analysis

Dynamic & Static Network Simulation

Automated

Network Optimization

Site and antenna height selection and adaptation of:

• antenna tilt • antenna azimuth • antenna type/pattern • cell power Tuning of

Planning Data Network Layout & Performance

Database Investig. & Focus Areas Pathloss Maps Traffic Maps Con-straints Planning Database Network Setup Optimizing of Planning Data

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2 Through the incorporated drive test data import and analysis, the planning data, e.g. the

pathloss maps, can be tuned automatically based on measurements from the live network. The planning database that is updated with the optimized network setup can already be used to independently validate the results of the automated network optimization against the planning tool with respect to coverage and capacity indicators.

However, a comprehensive validation including coverage, capacity, and quality requires either live measurements or network simulations. Either approach or a combination of both is supported by Radioplan as it contains not only the drive test analysis, but also

incorporates Network Simulators for Monte-Carlo snapshot simulations as well as for fully dynamic network simulations including realistic network models for true and efficient QoS validation.

Please refer to [R-UG] for more information on Radioplan and its modules.

2.3 Optimization Tasks

The optimization algorithms of Radioplan ACP have been designed primarily for the following optimization tasks.

While the example scenarios described below may refer to specific systems, the algorithms can be applied to network configurations of all radio technologies supported by Radioplan: CDMA, GSM, iDEN, UMTS, WiMAX, and LTE.

2.3.1 Site Selection and Site Integration

For the evaluation whether certain available sites should be added to the network configuration or could be removed from the network configuration, the Site Selection Optimization can be used. As the evaluated sites may have different antenna heights, an antenna height optimization is possible as well. Moreover, through a combination with the Capacity and Coverage Optimization, the cell parameters of the selected sites can

automatically be optimized, too.

Possible scenarios include the following:

Investment Planning for 3G Network Launch or Major Expansion (possibly reusing existing 2G sites)

Upon an initial 3G network launch, the locations for the base station sites have to be selected and initial cell configurations have to be applied in order to meet initial coverage and capacity objectives with respect to the investment goals.

Especially for an incumbent network operator with an existing 2G network infrastructure, site selection combines two objectives:

select the existing 2G sites to be reused for 3G and select the optimal sites from additional 3G candidates.

Thereby, an existing 2G network potentially makes it easier to rollout a 3G network but can also create problems due to inter-site distances that are not ideal for 3G. Moreover, the 2G coverage objectives may not align with the 3G coverage objectives.

Also 3G operators that still need to increase their coverage footprint and/or provide more network capacity through a considerable number of new sites usually may select from a larger number of possible site locations – according to their investment goals.

Hence, the Site Selection Optimization can automatically remove those sites which are not required to meet specified coverage and capacity objectives taking the absolute traffic to be served by the remaining sites into account. Therefore, sites that must remain in the network setup may be fixed and the initial cell configurations of the remaining sites can be optimized automatically. Approved network operator practices for initial cell configurations

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2 Radio Network Design Validation

Network operators in many cases outsource the network design, for example to the radio network equipment vendor (turn-key). Then it is still in the interest of the network operator to get the most from the investment in new sites and to maximize the coverage and capacity of the network.

According to this need, Radioplan ACP can be used to validate the radio network design proposed by the equipment vendor. Through the combination of Site Selection and Capacity and Coverage Optimization the network operator has powerful means to independently validate the proposed sites and the site configurations and eventually identify better site configurations and even sites, which may not be required if the network design would be optimized according to the coverage and capacity requirements of the current network rollout phase.

Fill-in Site Optimization

Moreover, given an existing network (post-launch), the network still continuously evolves and new sites have to be filled in to provide additional coverage and capacity. Thereby, a group of several alternative candidate locations for each new site may be available. Hence, the Site Selection Optimization can automatically add sites through a selection of the optimal site from each group of alternative candidates in order to achieve the

maximum coverage and capacity including the optimization of the initial cell configurations. These candidates can also be cell sites at the same location, but with different antenna heights thus enabling Antenna Height Optimization as well.

If just a single site for a new location has to be integrated (as opposed to a selection from several alternative candidates), the Site Integration Optimization can automatically optimize the initial cell configurations of such a site in accordance with also optimized cell configurations of the surrounding sites in a very straightforward manner.

2.3.2 Capacity and Coverage (Cell Parameter) Optimization

Given an existing network (post-launch), the maximum utilization of the existing infrastructure is decisive for the cost effectiveness of the network operation. The objective is to maximize the coverage and minimize the interference by the

optimization of the existing network, namely through the reconfiguration of the following cell parameters:

antenna type

antenna mechanical tilt, electrical tilt, and remote electrical tilt antenna azimuth

cell transmit power of a beacon signal and of possibly other control channels. Thereby, depending on the propagation environment, coverage and interference may be conflicting objectives because the interference can be minimized through a higher cell

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2 Moreover, in 3G networks, depending on the cell coverage areas and the traffic

distribution, there may be a trade-off between interference minimization and traffic load balancing – both aimed at maximizing the capacity and service quality.

Especially in the early days of 3G networks traffic data may not be available yet and traffic predictions may not be reliable enough to completely rely on them for network

optimization.

Last but not least every cell parameter reconfiguration implies costs for its implementation in the live network. This must be taken into consideration.

Hence, the Capacity and Coverage optimization automatically optimizes the reconfigurable cell parameters and gives the user a number of choices in order to adapt it to the

particular network and optimization objectives and constraints. They include for example: A slider allows the user to set the preference for those cases where maximizing coverage and minimizing interference might require different reconfigurations. The user has the option to consider the spatial traffic distribution, if available. Otherwise, a homogeneous traffic distribution is assumed.

In case of an inhomogeneous traffic distribution the optimization of high-traffic regions is prioritized over low-traffic regions.

Cost parameters (in Radioplan ACP so-called Required Performance Improvement thresholds) allow the user to control the degree of changes to the network setup and the associated costs.

2.3.3 Overshooting Cells Detection and Handling

Overshooting cells can impair a consistent radio network design. Nevertheless, they may have been designed for specific reasons at a certain point of time.

Therefore, such cells (also known as “boomer” cells), which over-propagate many others and provide distant best server coverage or strong interference levels, can be identified by Radioplan ACP and, if desired, also down-tilted – both automatically – according to

configurable settings.

This overshooting cells detection and handling is available in Radioplan ACP either as a separate optimization algorithm or as an integrated task at the beginning of a Site Selection, Site Integration, or Capacity and Coverage Optimization.

2.3.4 Optimization Series

Radioplan allows you to run optimization series. You can create different Optimization configuration templates and run those consecutively on individual projects. For more information see section 10.

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2

2.4 Main Elements in the Graphical User Interface

The main optimization functions of Radioplan ACP can be controlled by the Optimization toolbar, Fig. 2-4.

Fig. 2-4 Optimization toolbar: before, during, and after optimization

Run Optimization Stop Optimization

Unload Optimization Module

Request Plot Update During Optimization Run Optimization Summary Report…

Show Progress Chart

These functions can also be accessed by the Optimization menu, Fig. 2-5.

In addition to the main optimization functions, Radioplan ACP provides more options for configuration, analysis, and customization. They can also be accessed by the Optimization menu.

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2 When selecting Run Optimization the Optimization Wizard is opened, which guides the user

through the configuration – as described in section 5.2. After confirmation of the last wizard dialog the optimization is started.

By the Stop Optimization option the user can stop a running optimization. Then, the intermediate result is available for analysis, like the result of an optimization. By the Unload Optimization Module option, the memory occupied by an initialized or completed optimization is released. The information in the memory speeds up further analysis plots.

An Unload is required, however, if certain Analysis Settings shall be changed (namely the Calculation Pixel Size ,the Traffic and Area Masking as well as the UMTS HSDPA settings – see also section 5.1).

Note that Unload Optimization Module is automatically called when selecting Run Optimization.

The Analysis Settings… include all optimization settings that may affect the Analysis Plots – as described in section 5.1.

The Analysis Plots are described in section 6.2. The accessibility of the menus depends on the active network layers (refer to section 4.1).

The Revenue Analysis submenu contains some settings as well as a set of plots for revenue analysis – as described in sections 5.3 and 6.2, respectively. This functionality is only available if the Capital Planning Module is licensed.

The Optimization Summary Report… gives a tabular overview of the optimization results – as described in section 7.2.

Show Progress Chart opens an interactive chart diagram that displays the performance improvements over the steps and accumulated costs as they evolve during the

optimization – as described in section 6.1.2.

The Automatic Plot Update and the Request Plot Update During Optimization Run options are useful to control the Automatic Optimization Plots for a running optimization – as described in section 6.1.1.

Radioplan ACP can be customized using configuration files (*.ini). The menu entries Load Configuration… and Save Configuration… support the management of such customer- and even user-specific configuration files – as described in chapter 9.

For information on Run Optimization Series, see chapter 10. Additionally, Radioplan ACP:

considers some General Settings – as described in chapter 3 – and takes project-specific optimization capabilities into account, which can be configured in each Radioplan project as described in chapter 4.

Generally, all important steps and decisions during both the configuration and the

execution of optimizations are logged in the Optimization tab of the Message window below the main window, Fig. 2-6.

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2

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2

3 Optimization - General Settings

From the Radioplan General Settings dialog, invoked by the menu entry Tools  General Settings…, the parameters relevant for Radioplan ACP are described in Table 3-1.

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2 Table 3-1 Radioplan-ACP-relevant general settings

Parameter Unit / Value

Description Raster Matrix Display Settings Default

Minimum Plot Pixel Size

m The minimum dimension [m] of a single pixel used for raster matrix plots.

It is the pixel size effective for the display of matrices, which influences the memory and disk space consumption as well as the displaying performance – refer also to [R-UG].

Noise in Interference Calculations

Noise Floor dBm The noise floor N, which shall represent:

- the thermal noise power Nth within the channel bandwidth and may additionally include:

- the noise figure NF at the terminal and

- a network-wide additional loss LT at the terminal side, e.g. for indoor users, which effectively increases the noise floor resulting in the total configurable value:

N = Nth + NF + LT

one for each of the following supported technologies: UMTS, GSM, CDMA, iDEN, and WiMAX.

For example, the default Noise Floor for UMTS may

correspond to N = Nth =-107dBm for B = 5MHz and T = 288K as well as NF = 0 and LT = 0.

It is used for interference ratio calculations – including: - Ec/Io calculations in CDMA, UMTS, and LTE projects, and - C/I calculations in GSM, iDEN, and WiMAX projects. Noise

Figure LTE

dB The noise figure NF for LTE, which can have different system bandwidths.

Based on this, the LTE noise floor NLTE is defined as follows: NLTE [dBm] = -114.0 + 10.lg(B [MHz] ) + NF [db]

which assumes

Nth [mW] =(1.38.10-20 mWs.T [K] / K) . B [Hz]

with T = 288K and takes the Bandwidth B from the Network Layer Settings (refer to section 4.1).

Message Logging Log

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2 Parameter Unit /

Value Description Multithreading

Number of

Processors {Auto; 1; 2; …} In Auto mode, the computations are automatically distributed to all available processor cores. If not all available processor cores shall be used, the number of them can be specified.

Please note:

In addition to the Radioplan general Plot Pixel Size, Radioplan ACP still defines the Calculation Pixel Size (refer to section 5.1.6).

The parameter Total Downlink Network Load [%] applies only to the Best Ec/Io plot that is invoked using the menu entry View  Configuration Data Plots  Interference Ratio.

It is not used for optimization calculations.

For more information on the Radioplan General Settings, e.g. on customization of the General Settings in the user workspace, please refer to [R-UG].

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2

4 Optimization Project Configuration

Radioplan ACP considers project-specific configuration data. These optimization settings are described in the following.

4.1 Network Layer

A Radioplan project consists of one or more Network Layers. A network layer is characterized by the parameters listed in Table 4-1.

Table 4-1 Network Layer parameters Parameter Unit / Value Description

System {CDMA; GSM; iDEN;

UMTS; WiMAX; LTE} The radio technology. Frequency

Band

– An integer identifier for:

- the carrier frequency (band) of a CDMA or UMTS system,

e.g. the UARFCN, or

- frequency band of a GSM system.

HCS – A string identifier for the Hierarchical Cellular Structure (HCS) layer, i.e. a certain subset of cells within a system.

It can also be used to distinguish frequency bands by strings.

Priority [0; 1; 2; …] An integer identifier for the priority of a network layer.

Higher values represent higher priority. It is used for the best serving cell decision in conjunction with the cell-specific Min. RxPower Threshold.

Bandwidth [MHz] > 0

For LTE network layers only: The LTE system bandwidth.

The Network Layers dialog, Fig. 4-1, gives an overview of the network layers in the

project. It can be opened by clicking the icon (tooltip Manage Network Layers) from the Surface Plots toolbar.

In that dialog as well as in the combo box right next to it, e.g. , one or more network layers can be selected.

All Network Layers that are selected together must have the same System.

For optimization, further configuration requirements may apply (see below).

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2 For the selected Network Layers, Radioplan core functions can be used for analysis, e.g. a

received power plot, which is created by clicking the icon (tooltip Plot Received Power) and shows for UMTS layers the Best Pilot Power.

Fig. 4-1 Example of the Network Layers dialog and the LTE-specific Network Layer Options For the optimization, two sets of network layers can be distinguished:

The active Network Layers in the Network Layers dialog define the Target Layers for optimization.

Further Network Layers can be defined as Constraint Layers for optimization in the Optimization Wizard (refer to section 5.2).

Usually, the network layers in the Radioplan project are the result from the planning data import process. Additionally, they can be created and modified in Radioplan.

For more information, please refer to [R-UG].

4.2 Areas

For each Radioplan project a Simulation Area (brown polygon(s)) and an Analysis Area (yellow polygon(s)) can be defined in the Areas folder Fig. 4-2.

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Fig. 4-3 Example Simulation Area (brown polygon) and Analysis Area (yellow polygon) The Area Settings dialog, Fig. 4-4, can be invoked by double-clicking an element in the Areas folder of the Configuration tab tree.

Fig. 4-4 Area Settings dialog There are several ways to define areas in Radioplan:

Areas can be imported automatically together with the planning data imported from a planning tool.

Areas can be imported based on common vector data file formats by the entry Import… in the context menu of the Areas folder or of any existing area item in the Area folder.

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2 Areas can be drawn and modified using the corresponding paint mode, which is

activated by clicking the Modify Simulation Area icon or the Modify Analysis Area icon from the Paint toolbar, respectively.

Areas can be edited in the Area Settings dialog, which can be opened by double-clicking an existing area item in the Areas folder, e.g. Fig. 4-4.

Each area may be composed of several subpolygons.

The Analysis Area must be completely inside the Simulation Area.

More than the 2 area definitions for Analysis Area and Simulation Area may be loaded into the Areas folder. Then, any area can be selected as the Analysis Area or Simulation Area by the entry Set as Analysis Area or Set as Simulation Area, respectively, in the context menu of that area item in the list.

For more information, please refer to [R-UG].

The Simulation Area and the Analysis Area may have a different impact in conjunction with the different Optimizers of Radioplan ACP, Table 4-2.

Table 4-2 Impact of the area definitions

Analysis Area Simulation Area

General Sets the focus for optimization. Is considered by the optimization, i.e. is the computation area. Shall define a buffer zone, which includes sites with potential interdependencies with the sites inside the Analysis Area.

Optimization

capabilities Determines the reconfigurable cells (refer to section 5.1.11). Only active site candidate groups inside are optimized.

Only removable sites inside may be removed.

Optionally, only the Analysis Area may be considered for optimization.

Optimization

objective Shall be maximized. (For the specific objectives of each optimization algorithm, please refer to the respective description in

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2

Analysis Area Simulation Area

Optimization

run-time Scales with the number of evaluation steps resulting from the optimization capabilities and from the optimizer settings, i.e.: - the number of site candidate

groups,

- the number of removable sites, and

- the number of reconfigurable cells and their reconfigurable parameters and reconfiguration ranges.

Scales with the number of traffic-relevant pixels inside.

Optimization results

Automatic visualization and reporting of coverage and other performance figures, e.g. in:

- Layer legend details, - Optimization Progress Chart - Optimization Summary Report.

4.3 Clutter Classes Settings

In order to define clutter-specific thresholds for coverage calculations, a pathloss offset as well as an Ec/Io or C/I offset can be defined for each clutter class in the Clutter Classes Settings dialog, Fig. 4-5. This dialog can be invoked by double-clicking the Clutter Classes element in the Configuration tab tree. These optimization parameters are defined in Table 4-3.

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2 Table 4-3 Clutter-specific optimization parameters

Parameter Unit / Value Description Pathloss Offset [dB] (Optimization)

dB A clutter-specific pathloss offset, by which additional losses for users in special environments can be taken into account, e.g. for indoor and in-car users. Moreover, it may account for a fading margin.

It is added to the area-wide default target value for beacon signal received power of the respective system.

For example. for UMTS and CDMA network layers it is added to the area-wide default Minimum Pilot RSCP in order to determine the Pilot RSCP Coverage; and for GSM network layers it is added to the area-wide default Minimum RxLev_DL in order to determine the RxLev_DL Coverage. For the respective area-wide default value, please refer to section 5.1. Ec/Io Offset [dB] (Optimization) or C/I Offset [dB] (Optimization)

dB A clutter-specific offset, by which different interference ratio requirements for a successful detection of the beacon signal and, consequently, for a successful network access can be defined.

It is added to the area-wide default target value for beacon signal interference ratio of the respective system.

For example. for UMTS and CDMA network layers it is added to the area-wide default Minimum Pilot Ec/Io in order to determine the Pilot Ec/Io Coverage.

For the respective area-wide default value, please refer to section 5.1.

Then, based on the defined Clutter Matrix, these clutter-specific offsets are applied to the coverage calculations – as described for the respective (…) Coverage plots in section 6.2. The clutter-specific thresholds that result from these offsets can be viewed using the corresponding (…) Coverage Threshold plots (refer also to section 6.2).

4.4 Antenna Settings

For supporting antenna type and electrical tilt optimization, the antenna settings given in Table 4-4 are specifically required.

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2

Usually the Antenna Families are automatically defined during the data import process from the planning tool to Radioplan.

All antenna configurations of a family are placed in a subfolder with the name of the respective Antenna Family. Moreover, all antennas without a defined Antenna Family are contained in the No Family subfolder of the Antennas folder in the Configuration tab tree, Fig. 4-6.

Fig. 4-6 A „No Family‟ subfolder contains antennas without a defined Antenna Family The antenna settings required for optimization can be configured in the Antenna Settings dialog, Fig. 4-7, which can be invoked by double-clicking the respective Antenna in the Configuration tab tree.

Fig. 4-7 Antenna Settings dialog

The antenna settings can also be configured for all antennas at once in the Antenna Settings Overview dialog, Fig. 4-8, which can be invoked by the entry Settings Overview… in the context menu of any Antenna or Antenna folder in the Configuration tab tree.

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Fig. 4-8 Antenna Settings Overview dialog

If the Antenna Families in the Radioplan project are not defined, the button Update Antenna Families in the Antenna Overview Settings dialog, Fig. 4-8, can be used to instantly define the Antenna Families for all Antenna IDs that comply with the naming scheme:

<familyname>_<electrical-tilt-value-in-degree> or <familyname>_T<electrical-tilt-value-in-degree> .

Likewise, given the same naming scheme, the Update Electrical Tilt from Antenna ID button allows to instantly update the Electrical Tilt parameter.

For example, the antenna name Sector_BW62_Var1_G17_2 results in the Antenna Family Sector_BW62_Var1_G17 and an Electrical Tilt of 2 degrees.

Table 4-5 Optimization-relevant antenna parameters Parameter Unit /

Value

Description Antenna

Family string Identifies all antennas that belong to the same family. An Antenna Family is a set of antenna configurations for the same antenna just with different electrical tilts.

During antenna tilt optimization the electrical tilt may be reconfigured by replacing the original antenna configuration with another configuration of the same family – just with a different electrical tilt.

Electrical Tilt

degree The electrical tilt inherent to the antenna diagram. Beamwidth degree The 3dB-beamwidth inherent to the antenna diagram. Alternative string Identifies all antennas that belong to the same group.

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4.5 Site Settings

Site-specific optimization capabilities and constraints can be defined in the Site Settings dialog, Fig. 4-9. It can be invoked by double-clicking the respective site in the

Configuration tab tree or by the entry Settings… in the context menu of the respective site. These optimization parameters are described in Table 4-6.

Fig. 4-9 General tab of the Site Settings dialog

Alternatively, all sites can be configured at once in the Site Settings Overview dialog, Fig. 4-10, which can be invoked by the entry Settings Overview… in the context menu of any site in the Configuration tab tree.

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Fig. 4-10 Site Settings Overview dialog

Table 4-6 Site-specific optimization parameters Parameter Unit /

Value

Description

Relevant for Capacity and Coverage optimization (also as a task of Site Selection) or for Site Integration or Overshooting Cells optimization

Is

Reconfigurable {true; false} If disabled, the reconfiguration of any cell and parameter of this site is blocked. Otherwise, the reconfiguration capabilities and

constraints of the cells and of the optimization algorithm apply. Lock Angle between Cells during Azimuth Optimization {true; false}

If enabled, the antenna azimuth of any cell at this site can only be changed for all cells together without changing the azimuth relations between the cells

(antenna installation with coupled azimuths, e.g. turning the entire antenna mast).

For a site with cells of multiple network layers, this flag makes the azimuth a shared parameter across all those layers.

Otherwise, the antenna azimuth of the cells can be changed independently for each cell, as usual.

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2 Parameter Unit /

Value Description Rollout Status {Existent;

Planned for Acquisition; Not

Existent}

If “Consider Configured Rollout Status of Sites“ is enabled in the Cost Control settings (refer to section 5.2.7):

RPI parameters as well as cost and effort limits are only applied to changes at the sites with Rollout Status “Existent”.

Relevant for Site Selection Is Removable

during Site Selection

{true; false}

Indicates this site as removable for the “Remove Redundant Sites” task of the Site Selection Optimizers, i.e. whether or not this site location is not necessarily required to be part of the optimized network setup. However, if the site shall definitely remain in the optimized network setup – e.g. because it is already in place in the live network, the flag must not be set. This flag is only observed for sites located in the Analysis Area. Sites outside of the Analysis Area are generally considered not to be removable.

Rollout Status {Existent; Planned for Acquisition; Not

Existent}

If “Consider Configured Rollout Status of Sites“ is enabled in the Cost Control settings (refer to section 5.2.7):

The “Rollout Status” is used as a priority for evaluation and as a criteria how to consider the cost of changes. Site Candidate

Group {No Group; Group 01; …;

Group 10}

Defines for the “Site Candidate Groups” task of the Site Selection Optimizer to which of the 10 possible site candidate groups this site belongs to.

By definition, only one site from all candidates in each group will be required as a new fill site for additional coverage and capacity.

4.6 Cell Settings

The parameters that can be configured on a per cell basis include:

the Cell Active flag in the Configuration tab tree, which is interpreted as "the cell is existing in the network",

the Optimization Capabilities, i.e. what kind and extent of reconfiguration is feasible for each cell parameter – as defined in section 4.6.1,

the General Settings, i.e. mainly the parameters of the installed antenna – as defined in section 4.6.2, including the Transmitter (or Subcell) Active flag, which is interpreted as “the transmitter is on, so that the cell is radiating power”,

the Resources Settings, i.e. the system-technology-specific power and further cell resources parameters – as defined in section 4.6.3, and

for UMTS cells, the HSDPA Settings – as defined in section 4.6.4, and for GSM and iDEN cells, the Transmitters Settings, which list the configured transmitters or radios – as defined in section 4.6.5.

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2

Generally, each active cell must have a pathloss matrix. Inactive Cells without pathloss matrix are ignored.

For more information on the Cell Settings than in the following sections, please refer to [R-UG].

4.6.1 Optimization Capabilities

The optimization capabilities, i.e. what kind and extent of reconfiguration is feasible for each cell parameter, may differ for each cell. Above all they arise from the installed equipment, but may also consider network planning and operation guidelines as well as regulatory requirements and costs of changes.

For example the following circumstances may restrict the optimization capabilities of a cell: The mounting of the antenna equipment might only allow a certain mechanical tilt range.

The antenna model might only support a certain electrical tilt range.

The mounting of the antenna equipment and possibly obstacles on the roof might only allow a certain azimuth range.

The mounting of the antenna equipment might support remote electrical tilting (RET).

For regulatory reasons (e.g. near a hospital) the change of the antenna orientation, neither tilt nor azimuth, might not be allowed.

The budget for a network optimization campaign may only allow a limited number of cell changes.

In contrast to that, the constraint whether the reconfiguration of a certain cell parameter shall be actually used for an optimization and to which extent, can still be defined at a later step of the optimization process in the respective Optimizer Settings according to the optimization objectives (refer to chapter 8).

Usually, these cell-specific reconfiguration capabilities should be contained in the planning database used for optimization so that it can be imported to Radioplan ACP. However, this data may not be available yet.

Therefore, cell-specific reconfiguration capabilities for optimization can be defined in the Cell Settings dialog, Fig. 4-11, with the parameters described in Table 4-7.

These reconfiguration capabilities include whether a certain cell parameter may be changed as well as the possible reconfiguration range or constraints:

The reconfiguration ranges for the antenna tilt, antenna azimuth, and the applicable power are defined by discrete reconfiguration steps with a given step

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2 The cell-specific costs are only considered for optimization if Use Cell/Site Individual Cost

is selected in the Cost Control settings (refer to section 5.2.7).

The originally configured value should be included in the reconfiguration steps. If it is not included, it will be automatically added.

Fig. 4-11 Optimization tab of the Cell Settings dialog (example for a UMTS cell)

By clicking the Select Antenna Groups button in the Optimization tab of the Cell Settings dialog, Fig. 4-11, the Antenna Groups dialog is opened, Fig. 4-12. Here, the Antenna Groups, which must have been defined before in the Antenna Settings (refer to section 4.4), are available for selection.

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Fig. 4-12 Antenna Groups dialog

Table 4-7 Cell-specific optimization parameters

Parameter Unit / Value Description Reconfigurable … - Mechanical Tilt (THETA) - Electrical Tilt (within Antenna Family) - Azimuth (PHI) - Power - Antenna Type {true;

false} Indicates whether the respective cell parameter can be reconfigured at all. For more information on electrical tilt optimization within the Antenna Family, please refer to

section 5.1.

The reconfigurable power parameter depends on the System:

- UMTS, CDMA, WiMAX: Pilot Power - GSM, iDEN: Output Power

Please make sure to disable e.g. a Reconfigurable Mechanical Tilt for omnidirectional cells.

Remote Electrical Tilt

(RET) Installed {true; false} Indicates whether the electrical tilt can be changed remotely. Since this option makes electrical tilt changes cheaper it can be associated with a specific Required Performance Improvement value for optimization (refer to section 8.1.3).

Min Max

degree

Absolute lower and upper limit for the respective cell parameter defining the possible range of: - Mechanical Tilt (THETA)

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2 Parameter Unit / Value Description Shared - Mechanical Tilt (THETA) - Electrical Tilt - Azimuth (PHI) {true; false}

Indicates whether the respective cell parameter can only be reconfigured together for all cells that share this antenna.

For example, a multi-band or multi-system antenna may transmit signals of multiple technologies and on multiple frequency bands. Thereby, the azimuth and mechanical tilt could be shared for all signals, whereas the electrical tilt could be reconfigurable for each signal independently.

Please make sure to set the Shared flag at the respective antenna parameters of all cells that share the antenna.

Refer to section 4.6.1.1 for further information. Antenna Groups {all

Alternative Antenna Groups defined in the Antenna Settings}

Identifies up to 5 groups of antennas that may replace the installed antenna as a result from antenna type optimization.

If the defined “groups” contain only a single antenna each, this option can also be used to specify 5 individual alternative antennas.

Costs - Mechanical Tilt - Electrical Tilt - Remote El. Tilt - Azimuth (PHI) - Power - Antenna Type Currency unit, e.g. €

For Revenue Analysis only:

The cost associated with the implementation of an optimization change for the respective cell

parameter.

The currency unit depends on the Windows OS Regional and Language Options.

Maximum Users per

Cell – The target number of users for this cell (irrespective of their service). Alternatively, all cells can be configured at once in the Cell Optimization Settings Overview dialog, Fig. 4-13, which can be opened by the entry Optimization Settings Overview… in the context menu of any cell in the Configuration tab tree.

The overview dialog contains all cells that belong to the same System like the cell, which it was opened from.

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Fig. 4-13 Cell Optimization Settings Overview dialog (example for UMTS network layers) In contrast to that, a technology-independent Cell Optimization Settings Overview dialog, Fig. 4-14, can be opened by the entry File  Current Project  Cell Optimization Settings in the main menu.

Fig. 4-14 Cell Optimization Settings Overview dialog (example for ALL network layers) The grey columns in the overview tables are read-only parameters, which are defined in other tables such as the Cell Settings Overview.

4.6.1.1 Conditions for Shared Antenna Parameters

The following conditions apply to the recognition of antennas with shared parameters. The cells with a shared antenna must be at the same site in the Radioplan project. The cells must have the same {X; Y; Z} position.

However, in case of inaccuracies of the cells‟ coordinates in the imported planning data, a snap radius for each the X-Y Offsets and the Height over Ground can be

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2 If cells and antenna parameters are configured to be shared, but do not meet the

aforementioned conditions, then a warning message in the Message window indicates the respective cell and parameter and shared settings are ignored during the optimization.

4.6.2 General Settings

For all cells of any network layer, a number of general parameters are considered by Radioplan ACP. They are highlighted in Fig. 4-15.

The Network Layer parameter can be used as a filter for a group of cells to be optimized together – refer also to section 4.1.

The highlighted General Settings include the parameters of the current antenna installation, which are to be optimized.

They are also the basis for all propagation calculations, e.g. like for the Pilot Received Power as described in section 6.2.1.

Fig. 4-15 General tab of the Cell Settings dialog (for a CDMA, UMTS, or WiMAX cell) The Transmitter (or Subcell) Activated flag is interpreted as “the transmitter is on air”, whereas the Cell Active flag in the Configuration tab tree is interpreted as "the cell is existing in the network". This distinction can be used for the configuration of repeaters and additional antennas.

The Transmitter Activated flag is only for CDMA, UMTS, and WiMAX cells a parameter in the General Settings tab.

For GSM and iDEN cells, the Transmitter Activated flag is defined in the Transmitters Settings (refer to section 4.6.5).

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4.6.3 Resources Settings

The Resources Settings considered by Radioplan ACP depend on the network layer of the cell. The relevant parameters for UMTS, CDMA, GSM, iDEN, or WiMAX cells are highlighted in Fig. 4-16, Fig. 4-17, Fig. 4-18, Fig. 4-19, and Fig. 4-20, respectively, and defined in Table 4-8.

For UMTS, CDMA, or WiMAX cells, the PCPICH Power, FPICH Power, or Pilot Power, respectively, is the basis for the calculation of the Pilot Received Power – as described in section 6.2.1.

Moreover, all highlighted power parameters of UMTS, CDMA, or WiMAX cells are considered for interference calculations – as described in sections 6.2.4, 6.2.5, and 6.2.6 – as well as for the interpretation of the Network Load parameter – as described in section 5.1.5. The Output Power of a GSM or iDEN cell is the basis for the calculation of the RxLev_DL – as described in section 6.2.2 – as well as for interference calculations – as described in section 6.2.8.

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2

Fig. 4-17 Resources tab of the Cell Settings dialog for a CDMA cell

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2

Fig. 4-19 Resources tab of the Cell Settings dialog for an iDEN cell

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2 Table 4-8 Resources parameters for cells of different network layers

Parameter Symbol Unit / Value

Description UMTS

Maximum

Power Ptotal,max

dBm The cell‟s maximum output power . PCPICH Power

PCPICH

P

dBm The cell‟s pilot transmit power. PCCPCH / SCH

Power Offset

P

PCCPCH dB-PCPICH The cell‟s PCCPCH output power defined as offset in relation to the PCPICH Power. First SCCPCH

Power Offset

P

FirstSCCPCH

dBm The output power of the cell‟s first SCCPCH defined as offset in relation to the PCPICH Power.

First SCCPCH

Activity

AF

FirstSCCPCH dBm The activity factor of the cell‟s first SCCPCH. AICH Power

P

AICH dBm The cell‟s AICH output power defined as

offset in relation to the PCPICH Power. AICH Activity

AICH

AF

dBm The cell‟s AICH activity factor. PICH Power

PICH

P

dBm The cell‟s PICH output power defined as offset in relation to the PCPICH Power. PICH Activity

AF

PICH dBm The cell‟s PICH activity factor.

CDMA Maximum

Power Ptotal,max

dBm The cell‟s maximum output power . FPICH Power

FPICH

P

dBm The cell‟s pilot transmit power. Other CCH

Power Offset

P

otherCCH dBm The cell‟s output power for DL common channels other than the FPICH defined as offset in relation to the FPICH Power. GSM or iDEN

Output Power Ptotal,max dBm The cell‟s output power on the BCCH carrier.

Min. RxPower

Threshold

P

r,min, dBm default: -130 dBm

The minimum DL received power required at a pixel to serve a pixel and the

corresponding traffic by this cell. WiMAX or LTE

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4.6.4 HSDPA Settings (UMTS only)

The HSDPA can be configured on a per cell basis with the parameters defined in Table 4-9. The HSDPA parameters considered by Radioplan ACP are shown in Fig. 4-21.

Fig. 4-21 HSDPA tab of the Cell Settings dialog for a UMTS cell

Table 4-9 HSDPA parameters for UMTS cells Parameter Symbol Unit /

Value

Description Activate

HSDPA – {true; false} Activates the HSDPA in this cell. For the consideration of the HSDPA settings in the optimization, HSDPA must still be

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2 Parameter Symbol Unit /

Value Description PCPICH

Offset

P

HS PDSCH

dB-PCPICH

For PCPICH Offset power mode only: HSDPA power in relation to the PCPICH power.

Power

Margin Ptmargin,HS PDSCH dB For Residue power mode only: The maximum cell power including the HSDPA power is set to this Power Margin below the Maximum Power of the respective cell.

Number of

HS-SCCH

n

HS SCCH – The number of available HS-SCCHs. HS-SCCH Resources: PCPICH Power Offset SCCH HS

P

dB-PCPICH

The HS-SCCH power defined as an offset in relation to the PCPICH power.

Depending on the HSDPA power mode, the cell‟s maximum HSDPA power is calculated as follows:

If PCPICH Offset is selected as HSDPA Power Mode:

The maximum HSDPA power is fixed and defined by the PCPICH Offset

P

HS PDSCH [dB-PCPICH] – as defined in the Table 6-9.

Then, assuming that the HSDPA is fully loaded, the HS-PDSCH power can be calculated as: 10 10 dB P PCPICH PDSCH,max HS PDSCH HS mW P mW P PDSCH HS

P

[dB-PCPICH] is the (HSDPA) PCPICH Offset configured for the cell. Otherwise, if Residue is selected as HSDPA Power Mode:

The maximum HSDPA power depends on the DCH load, because it is allocated on top of the power allocated for DCH transmissions.

The total power allocated to all common channels (except HS-PDSCH) and to all DCHs can be calculated as:

mW P mW P mW P mW

Ptotal,withDCH,allocated PCPICH otherCCH,allocated DCH,total mW

PotherCCH ,used is the total power of all DL common control channels other than the PCPICH (i.e. PCCPCH, SCCPCH, AICH, PICH, and HS-SCCH) with the contributions as defined in the Table 4-8 and Table 4-9 as well as with the HSDPA activity factor as defined in section 5.1.13.

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2 10 10 10 10 10 ,

10

10

10

10

10

dB P dBm P SCCH HS HSDPA dB P dBm P PICH dB P dBm P AICH dB P dBm P H FirstSCCPC dB P dBm P used otherCCH SCCH HS P CP ICH P ICH P CP ICH A ICH P CP ICH H F irstSCCP C P CP ICH P CCP CH P CP ICH

n

AF

AF

AF

AF

mW

P

1 * , ,allocated

:

otherCCHused AF otherCCH

P

P

The total power PDCH ,total mW allocated to all DCH transmissions is estimated based on the Relative Load per Cell (as defined in section 6.2.29) as well from the configured DCH Network Load (as defined in section 5.1.5) and the Maximum Output Power of the highest loaded cell.

Then, the maximum power including HSDPA load is either the cell‟s Maximum Power total,max

P reduced by the Residue Mode Power Margin Pmargin,HS PDSCH [dB] or still the power allocated to all common channels (except HS-PDSCH) and to all DCHs, whichever term is higher:

dBm P dB P dBm P dBm P allocated DCH total,with PDSCH margin,HS total,max max PDSCH DCHAndHS total,with , , ,

Moreover, if the left term is smaller than the right term, the maximum available HSDPA power PHS PDSCH,max can be calculated as:

mW

P

mW

P

totalwithDCH allocated

dB P dBm P PDSCH,max HS PDSCH margin, HS total, max , , 10

10

Which portion of the maximum HSDPA power is actually used can still be defined by the HSDPA Activity Factor – as defined in section 5.1.13:

mW P

AF mW

PHS PDSCH,used HSDPA HS PDSCH,max

The HSDPA power is considered in the calculation of the RSSI and dependent measures such as the Pilot Ec/Io and the CQI (refer to sections 6.2.4, 6.2.5, and 6.2.32,

respectively).

Moreover, by its consideration in the Network Load (refer to section 5.1.5), the HSDPA power affects the optimization result.

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4.6.5 Transmitters Settings (GSM and iDEN only)

The transmitters and their frequency plan parameters considered by Radioplan ACP can be configured on a per cell basis with the parameters shown in Fig. 4-22 and defined in Table 4-10.

Fig. 4-22 Transmitters tab of the Cell Settings dialog for a GSM cell

The channel numbers are considered by the interference calculation – as described in section 6.2.8.

References

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the observed flows, which indicates more regular and inte- grated hydrological functioning at the catchment level, with the flows generated being directly related to the

To cite this article: Benedetta Rossi (2014) Migration and Emancipation in West Africa's Labour History: The Missing Links, Slavery &amp; Abolition: A Journal of Slave and

The ECCV urges the Victorian government act on the recommendations that have been made in this policy paper, in order to support increased health literacy within CALD communities,

Some additional variables may contribute to explaining the high-low-tech human capital ratio, such as life expectancy and savings rate, which seems to be linked with a

development in which racism is perceived by the majority of the participants in this.. 177 study, especially those who previously enjoyed race-based advantages and who are