认知无线电中的感知信任策略
首发时间:2012-09-13
摘要:本文基于马尔可夫业务模型提出了一种感知信任策略用于进一步提高频谱感知结果的准确度。与目前传统的能量感知方案相比,所提出的感知信任策略考虑了主用户业务状态在相邻频谱感知周期内存在相关性的特点。通过采用此种策略,认知用户能够进一步审查能量感知结果,并根据统计获得的主用户状态转移概率情况决定是否相信此能量感知结果。由于在实际应用中,采用此种感知信任策略要获得主用户状态的转移概率,因此提出了一种滑窗机制用于统计主用户的历史状态信息并获取状态转移概率的估计值。最后,通过蒙特卡罗仿真验证了采用感知信任策略可以降低错误检测概率,感知性能获得一定的提升。
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Trust Strategy for Spectrum Sensing in Cognitive Radio Networks
Abstract:In this paper, based on Markov chain service model, a trust strategy is proposed for the purpose of improving spectrum sensing accuracy. Compared with existing spectrum sensing schemes, it takes the primary user(PU)'s service relevance in adjacent sensing period into consideration. By using trust strategy, cognitive user can further censor the sensing result made by energy detection and decide whether to believe it or not corresponding to different transition probability conditions. Then a sliding window mechanism is designed for cognitive user to estimate PU's transition probability, which is necessary for using trust strategy in practice. Finally, a Monte Carlo simulation is done and the simulation results have shown that it is certain for cognitive sensing system to decrease error detection probability by using the proposed trust strategy.
Keywords: cognitive radio spectrum sensing sliding window mechanism error detection probability
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