基于合作博弈的多信道认知无线网络中的频谱共享算法

发布时间：2018-01-13 08:36

本文关键词：基于合作博弈的多信道认知无线网络中的频谱共享算法　出处：《通信学报》2014年02期 　论文类型：期刊论文

【摘要】：采用合作博弈对多信道认知无线网络中的频谱共享问题进行了建模分析,提出了次用户在各信道上的信干噪比乘积作为合作博弈的效用函数。次用户在各信道上保证对主用户的干扰小于一定门限的要求下,通过最大化各自效用函数的乘积来进行功率分配。由于最大化次用户效用函数的乘积问题是非凸的,通过变量替换将其转化为了一个等价的凸优化问题,利用该凸优化问题的对偶分解,提出了一种次用户间的频谱共享算法。仿真结果表明,所提算法在次用户和速率与公平性之间进行了有效折中。
[Abstract]:The cooperative game is used to model and analyze the spectrum sharing problem in multi-channel cognitive wireless networks. The signal-to-noise ratio product of the secondary user on each channel is proposed as the utility function of cooperative game. The secondary user ensures that the interference to the primary user is less than a certain threshold in each channel. Power allocation is made by maximizing the product of their respective utility functions. Because the product problem of maximized secondary user utility function is non-convex, it is transformed into an equivalent convex optimization problem by variable substitution. By using the dual decomposition of the convex optimization problem, a spectrum sharing algorithm between secondary users is proposed. The simulation results show that the proposed algorithm is an effective trade-off between secondary user and rate and fairness.
【作者单位】：上海交通大学电子工程系;
【基金】：国家自然科学基金资助项目(60832009,61172067,61371086) 国家科技重大专项基金资助项目(2011ZX03003-001-03,2010ZX03003-002-03)~~
【分类号】：TN925
【正文快照】： 1引言随着各种无线业务需求的不断发展,现有的频谱资源变得越来越稀缺,已经不能满足通信业务需求。同时,美国联邦通信委员会(FCC,federal communi-cations commission)发现在大部分时候现有的频谱资源的利用率很低[1]。因此,需要一种更有效的方式来管理现有的频谱资源。为此,

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