电子、通信与自动控制

基于干扰权限交易的认知无线电网络功率控制算法

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  • 1. 华南理工大学 电子与信息学院,广东 广州 510640; 2. 桂林电子科技大学 信息与通信
    学院,广西 桂林 541004; 3. 上海海事大学 信息工程学院,上海 201306
邓小芳(1976-),女,博士生,主要从事认知无线通信网络研究. E-mail: xfdeng@guet.edu.cn

收稿日期: 2015-02-11

  修回日期: 2015-06-08

  网络出版日期: 2015-09-07

基金资助

国家自然科学基金资助项目(61302058);国家“973”计划项目(2011CB707003);华南理工大学中央高校基本科
研业务费专项资金资助项目(2014ZZ0030)

Interference Right Trading-Based Power Control Algorithm of Cognitive Radio Networks

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  • 1. School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China;2. School of Information and Communication,Guilin University of Electronic Technology,Guilin 541004,Guangxi,China;3. College of Information Engineering,Shanghai Marine University,Shanghai 201306,China
邓小芳(1976-),女,博士生,主要从事认知无线通信网络研究. E-mail: xfdeng@guet.edu.cn

Received date: 2015-02-11

  Revised date: 2015-06-08

  Online published: 2015-09-07

Supported by

Supported by the National Natural Science Foundation of China(61302058) and the National Program on Key
Basic Research Project of China(2011CB707003)

摘要

为提高认知无线通信系统频谱利用率和系统工作公平性,最大化授权用户和认知用户的经济效益,引入基于非合作博弈的干扰权限交易机制,提出了一种基于干扰权限交易的认知无线电网络功率控制算法. 该算法允许授权用户在保证最低干扰门限的基础上交易其干扰权限,并对认知用户征收干扰价格来补偿其通信质量的降低. 通过价格杠杆原理,授权用户和认知用户、认知用户和认知用户对干扰价格和发射功率进行非合作博弈,并且干扰价格和发射功率收敛于纳什均衡点. 仿真结果表明,文中所提算法比传统算法具有更好的系统公平性和实用性.

本文引用格式

邓小芳 官权升 林伟辉 姜胜明 . 基于干扰权限交易的认知无线电网络功率控制算法[J]. 华南理工大学学报(自然科学版), 2015 , 43(9) : 34 -38,46 . DOI: 10.3969/j.issn.1000-565X.2015.09.006

Abstract

In order to promote the fairness and spectrum efficiency of cognitive radio networks (CRNs) and to max-
imize the utility of primary user (PU) and secondary users (SUs),this paper introduces a game-based non-cooperation trading mechanism,and proposes an interference right trading-based power control algorithm of cognitive radio networks. In the algorithm,PUs that has satisfied their own minimum interference threshold are allowed to trade their interference rights (IRs),and the interference price is imposed on SUs to earn income as the compensation for the degradation of QoS. Moreover,through the principle of price lever,the non-cooperative game among SUs as well as between PUs and SUs are performed in terms of the interference price and the transmitting power,and thus the interference price and the transmitting power eventually converge to a Nash equilibrium point. Simulation results show that the proposed algorithm is more fair and practical than the traditional one.
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