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计算机工程

• 移动互联与通信技术 • 上一篇    下一篇

中继协作认知无线电系统的最优化功率分配

王仕果,易 进,彭海霞   

  1. (湘潭大学信息工程学院,湖南湘潭411105)
  • 收稿日期:2014-05-14 出版日期:2015-05-15 发布日期:2015-05-15
  • 作者简介:王仕果(1975 - ),男,副教授、博士,主研方向:无线协作通信,认知无线电;易 进(通讯作者)、彭海霞,硕士研究生。

Optimal Power Allocation in Relay Cooperative Cognitive Radio System

WANG Shiguo,YI Jin,PENG Haixia   

  1. (College of Information Engineering,Xiangtan University,Xiangtan 411105,China)
  • Received:2014-05-14 Online:2015-05-15 Published:2015-05-15

摘要: 将中继协作与认知无线电技术相结合是提高频谱资源利用效率和减小系统功率消耗的有效方法。为此, 在认知用户端之间不存在直接链路、中继用户工作在放大转发方式以及认知用户和中继发送功率都受限的场景 下,对认知无线电中继协作系统中的功率分配问题进行探讨。利用KKT 条件和次梯度法求解优化问题,提出一种 最优化功率分配算法。该算法既能保证授权用户平均通信质量和最差通信质量不受影响,又能使认知用户的通信 容量达到最大。在瑞利衰落信道下对该算法进行数值仿真,结果验证了其正确性。

关键词: 认知无线电, 中继协同通信, 功率分配, 凸优化, 对偶分解法, 次梯度法, KKT 条件

Abstract: Combining relay cooperation with Cognitive Radio(CR) technology is one of the effective ways to improve the utilize efficiency of spectrum resources and reduce power consumption. In the context of no direct link between cognitive users’ ends,relay’s working in Amplify-and-Forward(AF) mode,and limitation of cognitive users and relay’ s transmitted power,this paper discusses the power allocation in relay cooperative CR systems. Adopting KKT condition and sub-gradient method to solve the optimization problem,an optimal power allocation algorithm is proposed. This algorithm not only can ensure authorized users’ average communication quality and worst communication quality are not affected,but also can maximize cognitive users’ communication capacity. Meanwhile,in the Rayleigh fading channel, numerical simulation of the proposed algorithm verifies itself further.

Key words: Cognitive Radio ( CR), relay cooperative communication, power allocation, convex optimization, dual decomposition method, sub-gradient method, KKT condition

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