OFDM多用户系统中一种改进的自适应资源分配算法
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摘要
针对正交频分复用(OFDM)多用户系统中一些智能算法存在收敛速度较慢且精度不高的问题,研究了把差分进化算法的变异与交叉行为引入人工鱼群算法中,以改进其随机行为。在此基础上,提出了一种改进的OFDM自适应资源分配算法。该算法先在公平度门限下分配子载波,再通过改进的人工鱼群算法进行功率分配。仿真结果表明,所提算法达到最优解时迭代次数有较大减少,同时搜索精度有所提高,在保证用户公平度的同时,提高了系统容量。
Aiming at the problem that some intelligent algorithms in orthogonal frequency division multiplexing(OFDM)multi-user system present slow convergence speed and low accuracy,the mutation and crossover behaviors of the differential evolution algorithm was introduced into the artificial fish swarm algorithm to improve its stochastic behavior.On this basis,an improved OFDM adaptive resource allocation algorithm was proposed,in which,the subcarriers were allocated under the fairness threshold and then the power was distributed through the improved artificial fish swarm algorithm.Simulation results show that the iterations number decreases greatly when the proposed algorithm achieves the optimal solution,and meanwhile the searching accuracy and system capacity are improved.
Aiming at the problem that some intelligent algorithms in orthogonal frequency division multiplexing(OFDM)multi-user system present slow convergence speed and low accuracy,the mutation and crossover behaviors of the differential evolution algorithm was introduced into the artificial fish swarm algorithm to improve its stochastic behavior.On this basis,an improved OFDM adaptive resource allocation algorithm was proposed,in which,the subcarriers were allocated under the fairness threshold and then the power was distributed through the improved artificial fish swarm algorithm.Simulation results show that the iterations number decreases greatly when the proposed algorithm achieves the optimal solution,and meanwhile the searching accuracy and system capacity are improved.
引文
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[10]兰海燕,杨莘元,刘海波,等.基于文化算法的多用户OFDM系统资源分配[J].吉林大学学报(工学版),2011,41(1):226-230.Lan Haiyan,Yang Shenyuan,Liu Haibo,et al.Resource allocation for multiuser OFDM system based on cultural algorithm[J].J.of Jilin University(Engin.Science Edition),2011,41(1):226-230.
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[12]Sadeque S,Ahmed I,Vaughan R.Impact of individual and joint optimizations in multi-user OFDM resource allocation by modified PSO[C]//Proc.of IEEE Conf.on Electrical and Computer Engin.,2011:001233-001237.
[2]Lee K C,Wang S H,Li C P,et al.Adaptive resource allocation algorithm based on cross-entropy method for OFDMA systems[J].IEEE Trans.on Broadcasting,2014,60(3):524-531.
[3]Shen Z,Andrews J G,Evans B L.Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints[J].IEEE Trans.on Wireless Commun.,2005,4(6):2726-2737.
[4]Guan P,Wu D,Tian T,et al.5Gfield trials-OFDM-based waveforms and mixed numerologies[J].IEEE J.on Sel.Areas in Commun.,2017,35(6):1234-1243.
[5]申敏,吴素园,李玲欣.一种改进的电力线通信OFDM自适应比特分配算法[J].重庆邮电大学学报(自然科学版),2017,29(6):732-738.Shen Min,Wu Suyuan,Li Lingxin.An improved bit allocation algorithm for PLC-OFDM system[J].J.of Chongqing University of Posts and Telecommun.(Nature Science Edition),2017,29(6):732-738.
[6]朱继华,王竟鑫,申茜,等.OFDM系统中一种改进的低复杂度自适应比特功率分配算法[J].重庆邮电大学学报(自然科学版),2017,29(2):202-207.Zhu Jihua,Wang Jingxin,Shen Qian,et al.An improved adaptive bit power allocation algorithm with the low complexity for OFDM system[J].J.of Chongqing University of Posts and Telecommun.(Nature Science Edition),2017,29(2):202-207.
[7]Sharma N,Anpalagan A.Bee colony optimization aided adaptive resource allocation in OFDMA systems with proportional rate constraints[J].Wireless Networks,2014,20(7):1699-1713.
[8]汪照,李有明,陈斌,等.基于鱼群算法的OFDMA自适应资源分配[J].物理学报,2013,62(12):509-515.Wang Zhao,Li Youming,Chen Bin,et al.OFDMA adaptive resource allocation based on fish swarm algorithm[J].Acta Phys.Sin.,2013,62(12):509-515.
[9]张春发,赵晓晖.基于公平度门限的多用户OFDM系统自适应资源分配算法[J].通信学报,2011,32(12):65-71.Zhang Chunfa,Zhao Xiaohui.Adaptive resource allocation in multiuser OFDM system based on fairness threshold[J].J.on Commun.,2011,32(12):65-71.
[10]兰海燕,杨莘元,刘海波,等.基于文化算法的多用户OFDM系统资源分配[J].吉林大学学报(工学版),2011,41(1):226-230.Lan Haiyan,Yang Shenyuan,Liu Haibo,et al.Resource allocation for multiuser OFDM system based on cultural algorithm[J].J.of Jilin University(Engin.Science Edition),2011,41(1):226-230.
[11]Liu M,Li X,Zhang M,et al.Research on artificial fish swarm algorithm with cultural evolution for subcarrier allocation[J].Inter.J.of Hybrid Information Technol.,2015,8(6):279-288.
[12]Sadeque S,Ahmed I,Vaughan R.Impact of individual and joint optimizations in multi-user OFDM resource allocation by modified PSO[C]//Proc.of IEEE Conf.on Electrical and Computer Engin.,2011:001233-001237.