Power Allocation Scheme Based on System Capacity Maximization for Multi-Base Station Cooperative Communication

doi:10.13190/j.jbupt.2013.06.020

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2013, Vol. 36 ›› Issue (6): 93-97.doi: 10.13190/j.jbupt.2013.06.020

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Power Allocation Scheme Based on System Capacity Maximization for Multi-Base Station Cooperative Communication

XIAO Hai-lin, WANG Peng, OUYANG Shan, LI Min-zheng

School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China

Received:2013-03-12 Online:2013-12-31 Published:2013-10-08

Abstract

Abstract:

Power allocation was formulated as the system capacity maximization problem and a strategy to solve the problem in its equivalent form was proposed. Based on genetic algorithm and particle swarm optimization, the path loss threshold to select the cooperative base stations for each user and maximize system capacity was set by the proposed power allocation strategy. Numerical results show that when the number of mobile users is 100, the proposed power allocation strategies based on genetic algorithm and particle swarm optimization will increase system capacity about 5.25 bit·s^-1·Hz^-1 and 7.38 bit·s^-1·Hz^-1 in the same conditions of adopting equal power allocation of multi-base cooperative communication system, respectively. Moreover, the algorithm performance of power allocation strategy based on particle swarm optimization is better than the power allocation strategy based on genetic algorithm.

Key words: cooperative communication, genetic algorithm, power allocation, particle swarm optimization

CLC Number:

TN929.5

XIAO Hai-lin, WANG Peng, OUYANG Shan, LI Min-zheng. Power Allocation Scheme Based on System Capacity Maximization for Multi-Base Station Cooperative Communication[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2013, 36(6): 93-97.

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Power Allocation Scheme Based on System Capacity Maximization for Multi-Base Station Cooperative Communication

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