噪声不确定下基于进化博弈论的协作频谱检测研究

发布时间：2018-01-23 18:47

本文关键词： 协作频谱检测噪声不确定进化博弈论吞吐量　出处：《信号处理》2017年10期 　论文类型：期刊论文

【摘要】：认知无线电中,协作频谱检测已经被证明可以有效提高系统的检测性能。但是在噪声不确定的情况下,认知用户会更加倾向于减少检测消耗来提高自身的吞吐量。本文主要是把进化博弈论应用到噪声不确定下的协作频谱检测中,认知用户可以动态地选择是否参加协作频谱检测,通过不断的迭代学习,得到一个进化稳定策略(ESS)。本文把所有认知用户作为整体参与博弈,由进化博弈论算法,得到其参与协作的认知用户平均吞吐量,并将其与所有用户的平均吞吐量对比。如不等则反复迭代直至相等,从而得到最终的进化稳定策略。仿真结果表明:噪声不确定度越高,达到平衡时认知用户参与协作检测的概率就越高;进化博弈论算法让认知用户选择性地参与协作检测比让所有用户都参与协作检测有更高的系统吞吐量。
[Abstract]:In cognitive radio, cooperative spectrum detection has been proved to be effective in improving the detection performance of the system, but in the case of noise uncertainty. Cognitive users tend to reduce detection consumption to improve their throughput. This paper mainly applies evolutionary game theory to cooperative spectrum detection under noise uncertainty. Cognitive users can dynamically choose whether or not to participate in cooperative spectrum detection. Through continuous iterative learning, an evolutionary stability strategy is obtained. In this paper, all cognitive users are considered as a whole to participate in the game. By evolutionary game theory algorithm, the average throughput of cognitive users involved in collaboration is obtained, and compared with the average throughput of all users. The simulation results show that the higher the noise uncertainty, the higher the probability of cognitive users participating in cooperative detection. Evolutionary game theory algorithm allows cognitive users to participate in cooperative detection selectively than all users to participate in cooperative detection has higher system throughput.
【作者单位】：南京邮电大学通信与信息工程学院;南京邮电大学计算机学院;
【基金】：国家自然科学基金项目(61501253) 江苏省基础研究计划(自然科学基金)项目(BK20151506) 江苏省"六大人才高峰"第十一批高层次人才选拔培养资助项目(XXRJ-009) 江苏省重点研发计划(社会发展)项目(BE2016778) 南京邮电大学科研项目(NY217054)
【分类号】：TN925
【正文快照】： 1引言授权频谱的低利用率是如今频谱匮乏的一个主要原因[1],认知无线电(Cognitive Radio,CR)让次级用户(SUs)在主用户(PUs)不占用频谱的时候去接入这段空闲的频谱,是一项有效提高频谱利用率的技术[2],协作频谱检测可以有效提升频谱检测的有效性[3]。在所有的检测技术中,能量检

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