基于自适应遗传算法的OFDMA资源分配
PDF下载 (455)汪 照,李有明,赵翠茹.基于自适应遗传算法的OFDMA资源分配[J].宁波大学学报(理工版),2013,26(01):23-27.DOI:
WANG Zhao,LI You-ming,ZHAO Cui-ru.OFDMA Resource Allocation Based on Adaptive Genetic Algorithm[J].Journal of Ningbo University(Natural Science & Engineering Edition),2013,26(01):23-27.DOI:
| Title: | OFDMA Resource Allocation Based on Adaptive Genetic Algorithm |
| 作者: | 汪 照, 李有明, 赵翠茹 |
| Author(s): | WANG Zhao, LI You-ming, ZHAO Cui-ru |
| 关键词: | OFDMA资源分配; 自适应遗传算法; 子载波分配; 分布式算法 |
| Keywords: | OFDMA resource allocation; adaptive genetic algorithm; subcarrier allocation; distributed algorithm |
| 分类号: | TN92 |
| 文献标识码: | A |
| 摘要: | 针对OFDMA系统, 提出了基于边缘自适应(MA)准则的子载波分配算法, 该算法基于一种新颖的自适应遗传算法. 在新算法中的交叉概率、变异概率随着群体适应度的改变而改变, 同时在该算法的初始种群中加入优秀基因的个体, 使得算法快速收敛, 并能搜寻到优秀的子载波分配方案. 仿真结果表明: 新算法与已有分布式算法、遗传算法相比较, 在性能上有较大的改善, 并远优于静态的频分多址资源分配方式. |
| Abstract: | For OFDMA system, a subcarrier allocation method based on a novel adaptive genetic algorithm for Margin Adaptive (MA) problem is proposed. In the genetic algorithm, the crossover probability and mutation probability vary in accordance with the diversity of population, while the individual with excellent genes is added to the initial population, which helps speed up the convergence and search a good subcarrier allocation scheme. Simulation results reveal that, compared with existing distributed algorithm and genetic algorithm, the proposed algorithm has improved performance greatly, and is found to be much superior to resource allocation in the static frequency division multiple access. |
| 参考文献 /References: | [1] Wong I C, Shen Z, Evans B L, et al. A low complexity algorithm for proportional resource allocation in OFDMA systems[C]. Proceedings of the IEEE Workshop on Signal Processing Systems Design and Implementation, Austin, Tex, USA, 2004:1-6. [2] Shen Z. Multiuser resource allocation in multiuser wireless communication systems[D]. Austin: University of Texas at Austin, 2006. [3] Wong C Y, Cheng R S, Letaief K B, et al. Multiuser OFDM with adaptive subcarrier, bit, and power allocation [J]. IEEE Selected Areas in Communications, 1999, 17 (10):1747-1758. [4] Kivanc D, Li G, Liu H. Computationally efficient band- width allocation and power control for OFDMA[J]. IEEE Transactions on Wireless Communications, 2003, 2(6): 1150-1158. [5] Reddy Y B, Phoha V V. Genetic algorithm approach for resource allocation in multi-user OFDM systems[C]. Communication Systems Software and Middleware, 2007: 1-6. [6] 汪俊芳, 朱光喜, 金江. 基于遗传算法的多用户OFDM比特加载[J]. 华中技术大学学报: 自然科学版, 2006, 34(2):27-29. [7] Ahmadi H, Chew Y H. Adaptive subcarrier and bit allocation in multiclass multiuser OFDM systems using genetic algorithms[C]. IEEE 20th International Sympo- sium on Personal, Indoor and Mobile Radio Communi- cations, Tokyo, 2009:1883-1887. [8] Lio B, Jiang M, Yuan D. Adaptive Resource Allocation in Multiuser OFDM System Based on Genetic Algorithm[J]. IEEE Proc, 2009(1):270-273. [9] 李城鑫, 黄玉清, 李强. 改进的多用户OFDM系统子载波和比特分配算法[J]. 信息与电子工程, 2010(8): 661-664. [10] Sadeque S, Ahmed I, Vaughan R. Impact of individual and joint optimizations in multi-user OFDM resource allocation by modified PSO[C]. Electrical and Computer Engineering, 2011:1233-1237. |
| 备注/Memo: | 收稿日期: 2012?06?18. 基金项目: 国家自然科学基金（61071119, 60772126）; 浙江省自然科学基金（Y1091155）; 浙江省科技厅基金项目（2009C34001）.第一作者: 汪 照（1987－）, 男, 湖北孝感人, 在读硕士研究生, 主要研究方向: OFDM中的资源分配. E-mail: 598329439@qq.com. *通信作者: 李有明（1963－）, 男, 陕西扶风人, 博导/教授, 主要研究方向: 宽带接入技术. E-mail: liyouming@nbu.edu.cn 宁波大学学报（理工版）网址：http://journallg.nbu.edu.cn/ |
