Research on Outage Performance Optimization of Cognitive Relay Network with Cooperative Sensing
Research on Outage Performance Optimization of Cognitive Relay Network with Cooperative Sensing
复制标题
协作感知认知中继网络停电性能优化研究
DOI：
10.20532/cit.2016.1002664
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发表时间：
2016-06
期刊：
影响因子：
--
通讯作者：
Zhang Ya
中科院分区：
文献类型：
--
作者：
Song Yaolian;Li Yuhao;Wang Shujuan;Zhang Ya
本文将协作频谱感知技术应用于认知中继网络中断概率的优化。通过合理设计感知时间和融合规则阈值，解决了认知中继网络中断性能优化问题。从理论上推导了瑞利衰落信道下高信噪比近似下的中断概率，并给出了最优融合规则门限的求解方法。理论分析和仿真结果表明，存在最优的感知时间和融合规则阈值，以最小化中断概率。与非协作感知相比，协作感知辅助下认知中继网络的中断性能得到显著改善。ACM CCS（2012）分类：网络→网络组件→无线接入点、基站和基础设施→认知无线电;网络→网络性能评估→网络性能分析 * 引用本文：Y. Song等人，“基于协作感知的认知中继网络中断性能优化研究”，CIT。计算和信息技术杂志，第24卷，第2期，第10页。111-119，2016年。
In this work, cooperative spectrum sensing technology is applied to optimize the outage probability of cognitive relay networks. The outage performance optimization problem of cognitive relay networks is resolved by designing the sensing time and fusion rule threshold appropriately. The outage probability by high signal to noise ratio (SNR) approximation under Rayleigh fading channels is derived theoretically, and the solution of optimal fusion rule threshold is given. Theoretical analysis and simulation results illustrate that the optimal sensing time and fusion rule threshold exist to minimize the outage probability. The outage performance of cognitive relay networks is significantly improved under the assistance of cooperative sensing compared with that of non-cooperative sensing scheme. ACM CCS (2012) Classification : Networks → Network components → Wireless access points, base stations and infrastructure → Cognitive radios; Networks → Network performance evaluation → Network performance analysis *To cite this article: Y. Song et al ., "Research on Outage Performance Optimization of Cognitive Relay Network with Cooperative Sensing", CIT. Journal of Computing and Information Technology , vol. 24, no. 2, pp. 111–119, 2016.
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DOI：
10.1109/icc.2007.882
发表时间：
2007-06
期刊：
2007 IEEE International Conference on Communications
影响因子：
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作者：
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DOI：
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发表时间：
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期刊：
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影响因子：
10.4
作者：
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影响因子：
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DOI：
10.1186/s13638-015-0311-8
发表时间：
2012-06
影响因子：
2.6
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