Trade-off between AND and OR Detection method for Cooperative Sensing in Cognitive Radio
Trade-off between AND and OR Detection method for Cooperative Sensing in Cognitive Radio
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DOI：
10.1109/iadcc.2014.6779356
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发表时间：
2014-03
期刊：
影响因子：
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通讯作者：
Jai Sukh Paul Singh;M. Rai;Jasvir Singh;A. S. Kang
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文献类型：
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作者：
Jai Sukh Paul Singh;M. Rai;Jasvir Singh;A. S. Kang
认知无线电（CR）新兴方法解决了频谱稀缺和利用不足等问题，并将创新想法付诸实施。FCC在2002年公布了一份非常有趣的报告，指出在某些时间或地理位置，超过70%的无线电频谱未被充分利用，这证明频谱稀缺并不是因为根本缺乏频谱，而是因为静态频谱分配的浪费。在非合作感测中，当用户在这种情况下经历阴影或衰落效应时，用户不能区分未使用的频带和深度衰落，这具有非常大的限制。协作频谱感测可以用于对抗这种影响。本文研究了基于AND和OR检测方法的协作感知，并在精确构建的认知无线电MATLAB环境下进行了仿真计算。使用ROC曲线进行性能分析，同时考虑虚警概率（Pfa）和漏检概率（Pmd）。该MATLAB仿真分析表明，在快速响应非常重要的情况下，OR检测方法会导致准确性的妥协，即更多的假警报，而AND检测方法显着提高了整体认知系统的性能，以延迟响应为代价消除了OR检测方法中的Pfa等问题。模拟出的最佳点具有可接受的准确性和低延迟时间。
Cognitive Radio (CR) emerging approach which solves issues like spectrum scarcity and underutilization is resolved putting into effect the innovative ideas. FCC has announced a very interesting report in 2002, pointing out that more than 70% of the Radio Spectrums are underutilized at certain times or geographic positions, which proves that spectrum scarcity is not due to fundamental lack of spectrum instead because of waste of static spectrum allocation. In Non-Cooperative sensing has a very major limitation when a user experiences shadowing or fading effects under such situations, user cannot distinguish between an unused band and a deep fade. Collaborative spectrum sensing can be used to combat such effects. This paper deals with Cooperative Sensing using AND and OR Detection method and Trade-off point is calculated using simulation on precisely built Cognitive Radio MATLAB environment. Performance analysis using ROC curves taking into consideration the Probability of False alarm (Pfa) and Probability of Missed detection (Pmd) is done. This MATLAB Simulation analysis shows and intimate that in conditions where quick response is of great importance OR detection method leads with compromise over accuracy i.e more false alarms whereas AND detection method improve significantly the overall Cognitive system performance, bumping-off issues like Pfa in OR Detection method on the expense of delayed response. Best point is simulated out having acceptable accuracy and low latency period.