应用科学学报 ›› 2017, Vol. 35 ›› Issue (3): 288-298.doi: 10.3969/j.issn.0255-8297.2017.03.002

• 通信工程 • 上一篇    下一篇

基于遗传粒子群优化的认知OFDM网络资源分配算法

董莉, 宋晓勤, 韩杰   

  1. 南京航空航天大学 电子信息工程学院, 南京 211106
  • 收稿日期:2016-09-25 修回日期:2016-12-16 出版日期:2017-05-30 发布日期:2017-05-30
  • 通信作者: 宋晓勤,副教授,研究方向:无线网络与通信、压缩感知和频谱感知等,E-mail:xiaoqin.song@163.com E-mail:xiaoqin.song@163.com
  • 基金资助:

    国家自然科学基金(No.61301103,No.61572254);南京航空航天大学研究生创新基地(实验室)开放基金(No.kfjj20170402)资助

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

DONG Li, SONG Xiao-qin, HAN Jie   

  1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
  • Received:2016-09-25 Revised:2016-12-16 Online:2017-05-30 Published:2017-05-30

摘要:

针对采用正交频分复用的认知无线电网络中的多用户资源分配,提出一种在系统传输功率额定值、主用户的干扰阈值、次用户间的比例公平性等约束条件下能使系统容量最大化的资源分配算法。首先基于遗传算法设计一种子载波分配方案,然后采用基于多级惩罚函数的粒子群优化算法进行功率分配。仿真表明,所提算法能获得接近于最优算法的系统容量,且能提高用户间的比例公平性,同时降低计算复杂度。

关键词: 认知无线电, 正交频分复用, 资源分配, 遗传算法, 粒子群优化

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

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