[PDF] Top 20 Particle Swarm Optimization for Adaptive Resource Allocation in Communication Networks
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Particle Swarm Optimization for Adaptive Resource Allocation in Communication Networks
... Multicarrier communication is a well-known technique to achieve high performance in frequency selective channels ...multicarrier communication is improved [13, ...in adaptive resource ... See full document
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Margin Adaptive Resource Allocation for Multi–user OFDM Systems by Particle Swarm Optimization and Differential Evolution
... In this paper, PSO [12], [13], [14] has been modified and applied to minimize the total transmit power to allocate sub– carriers and number of bits for multi–user OFDM systems. The modifications are done in such a way, ... See full document
5
5G Heterogeneous Networks Future Assessment on Network Channel Allocation and Particle Swarm Optimization (PSO)
... (5G) networks [2]. 5G networks are intended to provide signi cantly high data rate access and guaranteed quality-of-service ...light communication, small cells, ...heterogeneous networks which ... See full document
9
Using Joint Particle Swarm Optimization and Genetic Algorithm for Resource Allocation in TD-LTE Systems
... total resource, various resource allocation algorithms have been proposed to maximize the overall data rate or minimize total transmission ...multiuser adaptive radio resource ... See full document
6
OPTIMIZATION OF RESOURCE MECHANISM AND BANDWIDTH ALLOCATION TECHNIQUES IN WIRELESS NETWORK AND ITS APPLICATION
... Sensor networks and satellite constellations face numerous challenges for reliable and robust ...wireless networks, in consideration of these problems, are extraordinarily influenced by network routing and ... See full document
6
Particle Swarm Optimization Based Power Allocation in Multi-Hop Cooperative AF Relaying Networks
... COGNITIVE radio (CR) is a promising wireless technology to resolve the growing scarcity of the indispensable electromagnetic spectrum resources. By use of CR, secondary users (SUs) without explicitly assigned spectrum ... See full document
8
Particle Swarm Optimization Based Approach for Resource Allocation and Scheduling in OFDMA Systems
... WiMAX systems use adaptive modulation and coding in order to take advantage of fluctuations in the channel. The basic idea is quite simple: Transmit as high a data rate as possible when the channel is good, and ... See full document
6
Optimal Node Placement of Industrial Wireless Sensor Networks Based on Adaptive Mutation Probability Binary Particle Swarm Optimization Algorithm
... industrial communication systems, such as fieldbus systems and wired Highway Addressable Remote Transducer (HART), have been used successfully in the field of factory automation and process automation [1], [2] , ... See full document
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Resource Allocation in Network MIMO using Particle Swarm Optimization
... wireless networks such as bandwidth and power are limited and ...MIMO, resource allocation strategy of one cell affects the performance of other cells in the ...efficient resource ... See full document
9
Adaptive Particle Swarm Optimization Scheduling Model for Jobs on Cloud
... First come first served and round robin algorithms are two conventional algorithms used in scheduling tasks among resources. The former allocates tasks based on their arrival time while the later uses time slice among ... See full document
7
Adaptive Resource Allocation in MIMO OFDM Communication System
... subcarrier allocation enables a larger channel capacity of the system, and it is suitable to combine OFDMA with MIMO (multiple input multiple output) which also aim at a capacity ...The allocation of space ... See full document
5
Method of Generating Contexts based on Self-adaptive Differential Particle Swarm Using Local Topology for Multimodal Optimization in the Case of Multigranulation. A Case Study
... In last decades Evolutionary and Swarm Intelligence algorithms have become an important improvement for both discrete and real-parameter optimization. Without niching [34] strategies they converge to a ... See full document
10
Study on the optimization algorithm of sediment particle Imshanage
... SEDIMENT PARTICLE IMAGE OF CHAOTIC PARTICLE SWARM OPTIMIZATION ALGORITHM The improved particle swarm optimization algorithm of sediment particle image is better ... See full document
10
Adaptive Method of Particle Swarm Optimization for Multimodal Function
... While the motivation and usefulness of niches is beyond doubt, most existing niching methods require specification of certain niching parameters as shown in Table 1. These niching parameters, often used to inform a ... See full document
7
PID Neural Network Motor Synchronization Control Based on the Improved PSO Algorithm
... with adaptive mutation PSO algorithm, and it can solve the shortcomings that learning process is easy to fall into local optimal value and learning rate is slow when the initial weights is random, also avoid the ... See full document
11
Circular collaborative beamforming for improved radiation beampattern in WSN
... speedy particle swarm optim ization-based circular collaborative beam form ing (H LPSO -based C C B ...of particle swarm optim ization (PSO ) algorithm is improved and utilized to select the ... See full document
9
OPTIMIZATION OF MULTI-OBJECTVE FACILITY LAYOUT USING NON-TRADITIONAL OPTIMIZATION TECHNIQUE
... Increased global competition in manufacturing and increased consciousness towards reducing manufacturing costs has renewed interest in the efficient design of facility layout. The success of a manufacturing organization ... See full document
7
Multi objective Network Reconfiguration of Distribution systems with Distributed Generators
... Det[A] =1 or -1 for radial system …(10) Det[A] = 0 not a radial system …(11) Multi-objective network reconfiguration problem can be formulated mathematically as a constrained optimization problem with an objective ... See full document
8
An agent based method for predicting monthly maximum & minimum quote prices
... optimization to move the networks in the desired direction in order to obtain the best fitness values. Also, the overfitting problem which arises from the firm training of the neural network discussed and ... See full document
8
Parameter optimization of evolving spiking neural networks using improved firefly algorithm for classification tasks
... better optimization algorithm is necessary to solve the real-world applications, especially for optimal parameter values for ...in optimization problems because of the following characteristics: ... See full document
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