基于遗传粒子群优化的认知OFDM网络资源分配算法

doi:10.3969/j.issn.0255-8297.2017.03.002

Abstract

Abstract:

For multi-user resource allocation in orthogonal frequency division multiplexing (OFDM)-based cognitive radio (CR) networks, a resource allocation algorithm is proposed to maximize system capacity under the constraint of transmission power budget, interference threshold of primary users, and proportional fairness among secondary users. A subcarrier allocation scheme based on genetic algorithm (GA) is designed. Particle swarm optimization (PSO) combined with multistage punishment function is then used to power allocation. Simulation results show that the proposed algorithm can obtain a good system capacity close to the optimal method, and improve proportional fairness among secondary users with low computation complexity.

Key words: cognitive radio, orthogonal frequency division multiplexing (OFDM), resource allocation, genetic algorithm, particle swarm optimization

CLC Number:

TN925

DONG Li, SONG Xiao-qin, HAN Jie. Resource Allocation Based on Genetic Algorithm and Particle Swarm Optimization for Cognitive OFDM Network[J]. Journal of Applied Sciences, 2017, 35(3): 288-298.

References

[1] Haykin S. Cognitive radio:brain-empowered wireless communications[J]. IEEE Journal on Selected Areas in Communications, 2005, 23(2):201-220.
[2] Yang C, Fu Y, Zhang Y, Yu R, Liu Y. An efcient hybrid spectrum access algorithm in OFDM-based wideband cognitive radio networks[J]. Neurocomputing, 2014, 125(3):33-40.
[3] Bharadia D, Bansal G, Kaligineedi P. Relay and power allocation schemes for OFDM-based cognitive radio systems[J]. IEEE Transactions on Wireless Communications, 2011, 10(9):2812-2817.
[4] Wang S W, Huang F J, Zhou Z H. Fast power allocation algorithm for cognitive radio networks[J]. IEEE Communications Letters, 2011, 15(8):845-847.
[5] Wang S W, Huang F J, Wang C G. Adaptive proportional fairness resource allocation for OFDM-based cognitive radio networks[J]. Wireless Networks, 2013, 19(19):273-284.
[6] Xu L, Wang J, Li Y P, Li Q M, Zhang X F. Resource allocation algorithm based on hybrid particle swarm optimization for multiuser cognitive OFDM network[J]. Expert Systems with Applications, 2015, 42(20):7186-7194.
[7] Shang R H, Zhang K, Jiao L C, Wu J S. Discrete polynary coding immune clonal selection based joint subcarrier and power allocation in uplink cognitive OFDM network[J]. International Journal of Communication Systems, 2016, 29(1):64-83.
[8] Tsai C F, Eberle W, CHU C Y. Genetic algorithms in feature and instance selection[J]. Knowledge Based Systems, 2013, 39(2):240-247.
[9] Wu G H, Qiu D S, Yu Y, Pedrycz W, Ma M, Li H F. Superior solution guided particle swarm optimization combined with local search techniques[J]. Expert Systems with Applications, 2014, 41(16):7536-7548.
[10] 张国英,吴艺娟. 基于多级惩罚函数的粒子群约束优化算法[J]. 北京石油化工学院学报,2008, 16(4):30-32. Zhang G Y, Wu Y J. Particle swarm optimization algorithm based on multistage punishment function[J]. Journal of Beijing Institute of Petro-chemical Technology, 2008, 16(4):30-32. (in Chinese)
[11] 吴剑,杨龙祥,刘旭. 基于OFDM的认知无线电子载波功率分配算法[J]. 南京邮电大学学报,2012, 32(5):80-84. Wu J, Yang L X, Liu X. Subcarrier and power allocation in OFDM based cognitive radio systems[J]. Journal of Nanjing University of Posts and Telecommunications, 2012, 32(5):80-84. (in Chinese)
[12] Yan S C, Ren P Y, Lü F S. Power allocation algorithms for OFDM-based cognitive radio system[C]//International Conference on Wireless Communications Networking and Mobile Computing(WiCOM), Chengdu, China, 2010:1-4.
[13] Wu J, Yang L X, Liu X. Resource allocation based on linear waterflling algorithm in CR systems[C]//International Conference on Wireless Communications, Networking and Mobile Computing(WiCOM), Wuhan, China:2011, 6796(1):1-4.

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Resource Allocation Based on Genetic Algorithm and Particle Swarm Optimization for Cognitive OFDM Network

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