北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2012, Vol. 35 ›› Issue (5): 59-62.doi: 10.13190/jbupt.201205.59.houh

• 论文 • 上一篇    下一篇

加权比例公平自适应粒子群跨层资源分配算法

侯 华, 李亘煊, 周武旸   

  1. 1. 河北工程大学 信息与电气工程学院2. 中国科技大学 电子工程与信息科学系
  • 收稿日期:2011-08-29 修回日期:2012-02-28 出版日期:2012-10-28 发布日期:2012-07-06
  • 通讯作者: 侯华 E-mail:hh110040@gmail.com
  • 作者简介:侯华(1980-),女,副教授,博士,E-mail:hh110040@gmail.com
  • 基金资助:

    河北省教育厅关键项目(ZH2011222);河北省自然科学基金(F201202046)

Weighted Proportional Fairness Adaptive Particle Swarm Optimization Cross-Layer Resource Allocation Algorithm

HOU Hua, LI Gen-xuan, ZHOU Wu-yang   

  1. 1. School of Information Science and Electrical Engineering, Hebei University of Engineering2. Department of Electronic Engineering and Information Science, University of Science and Technology of China
  • Received:2011-08-29 Revised:2012-02-28 Online:2012-10-28 Published:2012-07-06
  • Contact: hua hou E-mail:hh110040@gmail.com

摘要:

针对多用户正交频分复用系统,提出一种新的适合于混合业务的加权比例公平自适应粒子群跨层资源分配算法(WAPCRA).该算法在媒体接入控制层进行加权比例公平调度;在物理层将自适应粒子群算法引入其资源分配,并推导出一种新的功率分配方式.仿真结果表明,WAPCRA能在低复杂度、保证用户公平性和满足用户业务流时延需求的基础上,有效提高系统总速率.

关键词: 正交频分复用系统, 自适应粒子群算法, 混合业务, 比例公平

Abstract:

A new weighted proportional fairness adaptive particle swarm optimization cross-layer resource allocation algorithm (WAPCRA) is proposed for multi-user orthogonal frequency division multiplexing (OFDM) system. The algorithm executes weighted proportional fairness scheduling in the media access control layer, leads adaptive particle swarm optimization algorithm into its resource allocation and derives a new power allocation pattern in the physical layer. Simulation demonstrates that WAPCRA algorithm can increase effectively the total system rates on the basis of low complexity, guaranteeing users 'fairness and meeting the delay of users’ traffic.

Key words: orthogonal frequency division multiplexing system, adaptive particle swarm optimization algorithm, heterogeneous traffic, proportional fairness

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