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应用科学学报 >

2011 , Vol. 29 >Issue 1: 1 - 8

DOI: https://doi.org/10.3969/j.issn.0255-8297.2011.01.001

通信工程

 认知无线电系统中的协作频谱共享博弈

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  • 1. 南京邮电大学江苏省无线通信重点实验室，南京210003
    2. 南京邮电大学教育部宽带无线通信与传感网技术重点实验室，南京210003
    3. 东南大学移动通信国家重点实验室，南京210096
朱琦，教授，研究方向：认知无线电技术及无线资源动态分配技术；E-mail: zhuqi@ njupt.edu.cn

收稿日期: 2010-07-10

  修回日期: 2010-12-29

  网络出版日期: 2011-01-29

基金资助

国家“973”重点基础研究发展计划基金(No.2007CB310607)；国家自然科学基金(No.60772062)；国家“863”高技术研究发展计划基金(No.2009AA01Z241)；国家科技重大专项基金(No.2011ZX03001-006-02, No.2011Z X03005-004-03)资助

 

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Cooperative Spectrum Sharing Game in Cognitive Radio Systems

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  • 1. Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications,
    Nanjing 210003, China
    2. Key Laboratory on Wideband Wireless Communications and Sensor Network Technology, Ministry of
    Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
    3. National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

Received date: 2010-07-10

  Revised date: 2010-12-29

  Online published: 2011-01-29

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摘要

该文运用协作博弈中的纳什讨价还价方法分析认知无线电系统中的频谱分配. 以所有次用户的收益乘积最大化为目标，引入次用户优先级参数以改进次用户的效用函数. 证明了在协作博弈过程中，新的效用函数存在纳什协商解，而且这个解是唯一的. 仿真结果表明，改进的协作博弈算法可通过参数设置来体现次用户之间的优先权，使次用户之间协作地进行博弈，使频谱分配更加公平有效.

关键词： 认知无线电; 频谱分配; 协作博弈; 优先级; 公平性

本文引用格式

马良1;2， 朱琦1;2;3 .  认知无线电系统中的协作频谱共享博弈[J]. 应用科学学报, 2011 , 29(1) : 1 -8 . DOI: 10.3969/j.issn.0255-8297.2011.01.001

Abstract

 Spectrum allocation in cognitive radio systems is investigated in this paper. Based on the Nash bargaining in cooperative game, an improved utility function is proposed to maximize the profit product of all secondary users. The cooperative game algorithm for spectrum allocation in cognitive radio is used, and the priority of secondary users introduced. We show existence and uniqueness of Nash bargaining solution (NBS) for the new utility in cooperative game. Simulation results indicate that the new algorithm can reflect the secondary users’ priority of spectrum allocation by setting the parameters and make the spectrum allocation more effective and fair.

Key words： cognitive radio; spectrum allocation; cooperative game; priority; fairness

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