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Effectiveness Evaluation of Satellite ground Collaborative Communication Network Based on AHP FCE Method

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2017 2nd International Conference on Manufacturing Science and Information Engineering (ICMSIE 2017) ISBN: 978-1-60595-516-2

Effectiveness Evaluation of Satellite-ground

Collaborative Communication Network Based

on AHP-FCE Method

Yao Wang, Yun Liang, Pengfei Zhang, Li Huang

and Feng Huang

ABSTRACT

In order to realize the Global Energy Internet, a communication network architecture named Satellite-Ground Collaborative Communication Network (SGCCN) is proposed in this paper. To confirm the feasibility of relevant technology and the collaborative network, an effectiveness evaluation scheme and index system of the complex network architecture are designed, and a method of evaluating the performance of SGCCN based on Analytic Hierarchy Process- Fuzzy Comprehensive Evaluation (AHP-FCE) method is proposed. Effectiveness evaluation simulation of the complex system is also carried out, and the evaluation results are obtained. The evaluation method proposed in this paper can provide a reference for similar field research. 1

INTRODUCTION

The concept of Global Energy Internet was proposed at the UN General Assembly Development Summit on September 26, 2015. Building a Global Energy Internet can promote clean and green solutions to meet global electricity demand. The Global Energy Internet will have the ability to transmit wind energy, solar power, marine energy and other renewable energy to all types of users. Satellite-ground collaborative technology will be an inevitable choice when implementing the

1Yao Wang, Yun Liang, Pengfei Zhang, Li Huang, Feng Huang, State Grid Laboratory of

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Global Energy Internet communication network architecture. Obviously, the Satellite-Ground Collaborative Communication Network (SGCCN) system is a complex system task, so we need a scientific, effective and quantitative assessment method to evaluate its performance.

Inter-Satellite Link

Operation Control Center Beidou

Satellite

Communicati on Satellite

Optical Fiber Network 3G/4G/5G

Base Station

3G/4G/5G Terminal

Terminal

Satellite Communicat

ion

Microwave Network

Monitoring Nodes: Sensor

Transmission Line

Monitoring Stations Positioning

[image:2.612.138.460.169.354.2]

and Timing

Figure 1. SGCCN architecture supporting the Global Energy Internet.

About the research achievements in the field of effectiveness evaluation, many research scholars have proposed various evaluation methods for different evaluation objects and purposes. At present, in the field of satellite communications, effectiveness evaluation is mainly used in military satellite communication, satellite defense communication network system, satellite communication system anti-jamming performance [1-4], etc. However, there is no report on effectiveness evaluation model and evaluation method aimed at Satellite-Ground Cooperative Communication Network.

To verify the feasibility of related technology, SGCCN is regarded as the evaluation object and an effectiveness evaluation index system is designed, and an evaluation method based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation (AHP-FCE) method is also proposed for SGCCN. Finally, this method is used to evaluate SGCCN, and the simulation evaluation results are obtained.

SGCCN EFFECTIVENESS EVALUATION SYSTEM

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types and with different function. These satellite constellations connected by Inter-Satellite Link (ISL) and they can also contact with kinds of communication platforms through satellite-ground link.

As is shown in Figure 2, an assessment scheme aiming at SGCCN is proposed in this paper. At first, it will gather related data through ground terminals and mobile terminals, payload on satellites and the gateway on earth. And then it will acquire key indicators data by earth-satellite-earth link communication joint simulation. Lastly, it will evaluate the comprehensive effectiveness of SGCCN according to the evaluation index system designed.

Ground sensor nodes and gathered data Satellite constellation and communications data

Ground mobile terminal data acquisition Satellite communication data acquisition Ground gateway data acquisition

Key indicators analysis and evaluation

Simulation data storage and management Ground local

communication network/ communication link

Information

interaction Information

interaction

The satellite-ground communication link between satellite and gateway stations

Inter-satellite communication link

Satellite-ground communication

link joint simulation Satellite-ground communication link joint simulation

Main parameters and

performance indicators Collected data and so on

Control instruction Management

information

Simulation scene information Operation

process information

Ground operation management center simulation Simulation

generates data Evaluate analysis results Backward link data flow

Forward link data flow System internal data flow

System control and

[image:3.612.101.487.239.422.2]

management data flow Simulation network management

Figure 2. Assessment scheme of SGCCN.

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The Satellite-Ground Collaborative Communication

Network

Evaluation Index System

Coverage

Global Area Coverage Global Coverage Time Percentage

Minimum redundancy Maximum revisit time

Security Anti-interference

Security Certification Communication

Ability

Packet loss rate Throughput Rain attenuation Real-time Data transmission delay

[image:4.612.125.473.85.269.2]

Delay jitter Topological cycle Beam switching success rate Average wait time for beam switching Dynamicity

Figure 3. SGCCN evaluation index system.

Figure 4. steps of AHP-FCE.

EFFECTIVENESS ANALYZING OF SGCCN

SGCCN simulation system is based on the established index system. In the simulation system, STK, OPNET and MATLAB softwares are used. The index attribute values obtained by software simulation and expert consultation, and the acquisition methods are shown in TABLE I.

[image:4.612.101.500.321.476.2]
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[image:5.612.105.497.155.536.2]

indexes are deleted as the weight of safety is less than 0.1. Finally, weight of each index is shown in TABLE II.

TABLE I. VALUES OF INDEXES OF INDEXES AND ACQUISITION METHOD.

Quantitative Index Property Value Acquisition Method

Coverage

Global area coverage 100%

Obtained by STK software

simulation. Percentage of global coverage

time 100%

Minimum redundancy 2

Maximum revisit time 0 s

Real-time Data transmission delay <500 ms

Obtained by

OPNET and

MATLAB simulation.

Delay jitter <0.0045

Dynamicity

Beam switching success rate 96%

Average wait time for beam

switching 1.6 min

Topological cycle 24 h

Communication Ability

Packet loss rate 10-5

Throughput 5050 bit/s

Rain attenuation <34 dB

Qualitative index

Security Anti-interference Security certification Medium Medium Expert consultation.

                 1 2 1/2 1/2 4 1/2 1 1/4 1/4 3 2 4 1 1 5 2 4 1 1 5 1/4 1/3 1/5 1/5 1 A ,              1 2 1/2 1/2 1/2 1 1/3 1/3 2 3 1 1 2 3 1 1 E

, (1)

       1 1/3 3 1 B ,            1 1/2 1/4 2 1 1 4 1 1 C ,            1 1/4 1/2 4 1 2 2 1/2 1 D .

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[image:6.612.116.479.170.374.2]

The outcome of the first synthesis calculation is the input of second synthesis, and the fuzzy matrix of the second synthesis is established as shown in Fomula (2).

TABLE II. WEIGHT OF INDEX AND ITS NORMALIZATION PROCESSING RESULT.

Criterion layer Index layer Normalized processing

Coverage

(0.1817)

Global area coverage(0.3509) 1

Percentage of global coverage time(0.3509) 1

Minimum redundancy(0.1091) 1

Maximum revisit time(0.1891) 1

Real-time

(0.3327)

Data transmission delay(0.7500) 0.7

Delay jitter(0.2500) 0.67

Dynamicity

(0.3327)

Beam switching success rate(0.4742) 0.96

Average wait time for beam switching

(0.3764)

0.63

Topological cycle(0.1494) 0.8

Communication Ability

(0.1010)

Packet loss rate(0.2857) 0.85

Throughput(0.5714) 0.94

Rain attenuation(0.1429) 0.72

             55 0 43 0 02 0 0 0 43 0 39 0 18 0 0 0 0 77 0 23 0 0 0 1 0 0 0 0 ~ . . . . . . . . R (2)

Formula (3) shows the final evaluation result of overall scheme.

] 0.476 0.374 0.098 0 0 [ ~ ~ R

r (3)

According to the principle of maximum membership, the synthesis result shows that the effectiveness evaluation result of SGCCN belongs to comment level "excellent".

CONCLUSIONS

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the end, effectiveness of SGCCN is quantitatively evaluated in this paper. Evaluation model and method proposed in this paper is useful for subsequent SGCCN construction stages, such as design, test, use and optimize, which can provide certain reference values, and also provide a reference for the similar research field.

ACKNOWLEDGEMENT

This work was supported by the science and technology project of State Grid Corporation of China (SGCC): research on the global energy interconnection oriented architecture of satellite and terrestrial integrated communication system.

REFERENCES

1. A. M. Elhady. 2014. “Remote sensing satellite system overall effectiveness analysis and

modeling,” presented at the IEEE Aerospace Conference, March 1-8, 2014 .

2. Li Zhang, Rui Yu, Xin Jin, et al. 2016. “Effectiveness Evaluation of Military Satellite

Communication System Based on Dual Hesitant Fuzzy Information,” Ship Electronic Engineering. 36 (1): 97-100.

3. Yang Shen, Xiuhe Li, Yong Li. 2013. “Research on simulation for countermine and its efficiency

evaluation of early warning satellite,” Aerospace Electronic Warfare. 29 (2): 9-11.

4. Lei Hu, Hao Li, Shiqiang Yan, et al. 2015. “Building of Operational Effectiveness Evaluation

Figure

Figure 1. SGCCN architecture supporting the Global Energy Internet.
Figure 2. Assessment scheme of SGCCN.
Figure 3. SGCCN evaluation index system.
TABLE I. VALUES OF INDEXES OF INDEXES AND ACQUISITION METHOD.
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