计算机工程

• 移动互联与通信技术 • 上一篇    下一篇

基于杂草优化算法的电力线通信系统资源分配

毕晓君,吕 娜   

  1. (哈尔滨工程大学信息与通信工程学院,哈尔滨 150001)
  • 收稿日期:2012-09-05 出版日期:2013-10-15 发布日期:2013-10-14
  • 作者简介:毕晓君(1964-),女,教授、博士生导师,主研方向:智能信号处理;吕 娜,硕士
  • 基金项目:
    国家自然科学基金资助项目(61175126);中央高校基本科研业务费专项基金资助项目(HEUCFZ1209);教育部博士点基金资助项目(20112304110009)

Resource Allocation for Power Line Communication System Based on Weed Optimization Algorithm

BI Xiao-jun, LV Na   

  1. (College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China)
  • Received:2012-09-05 Online:2013-10-15 Published:2013-10-14

摘要: 为提高电力线通信系统资源利用率,提出一种基于改进入侵性杂草优化算法的资源分配方法。以速率自适应为准则,同时考虑系统功率谱的限制及用户之间的公平性等约束条件,采用在个体随机位置进行有方向性变异的二进制离散入侵性杂草优化算法,实现子载波的最优分配。在典型电力线通信系统环境下的仿真结果表明,与现有的资源分配算法相比,改进的杂草算法在系统容量、用户公平性等方面均有明显优势,可有效提高系统的性能。

关键词: 电力线通信, 资源分配, 正交频分多址接入, 入侵性杂草优化算法, 道状态信息, 二进制编码

Abstract: In order to improve the resource utilization of the power line communication system, this paper proposes a modified Invasive Weed Optimization(IWO) algorithm to allocate resources. Under the criterion of Rate Adaptation(RA), the binary discrete IWO which has directed variation in the individual random position is proposed to realize the optimal subcarrier allocation, which not only meets the constraint of emission power spectrum, but also takes the fairness among users into account. In the environment of a typical power line communication system, simulation results show that, the modified IWO makes the power line communication system have greater throughput and better fairness, and improves the system performance effectively.

Key words: power line communication, resource allocation, Orthogonal Frequency Division Multiple Access(OFDMA), Invasive Weed Optimization(IWO) algorithm, channel state information, binary coding

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