Performance of double threshold energy detection in cooperative-cognitive networks over Nakagami-m fading channels using square law combining technique

Atta-ur Rahman, Ansar Ul Haq, M. Adnan, I. Khan, I. Shah
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Abstract

This paper presents the performance of double threshold energy detection in cooperative cognitive networks over Nakagami-m fading channel. Square Law Combining (SLC) diversity technique helps in detection at cognitive center for different values of shape factor M and this algorithm is examined by placing multiple relays between Primary user (PU) and Secondary user (SU). Performance of the network has been analyzed for amplify and forward relaying scheme as irrespective of their location and distance from the primary users and cognitive center. The simulated results are shown for detection probability (Pd), collision probability (Pc) and unavailable probability (Pn).
基于平方律组合技术的协同认知网络中Nakagami-m衰落信道双阈值能量检测性能
本文研究了协作认知网络在Nakagami-m衰落信道上的双阈值能量检测性能。平方律组合(SLC)分集技术有助于在认知中心对形状因子M的不同值进行检测,并通过在主用户(PU)和副用户(SU)之间设置多个中继来检验该算法。分析了放大和转发中继方案在与主用户和认知中心的位置和距离无关的情况下的网络性能。给出了检测概率(Pd)、碰撞概率(Pc)和不可用概率(Pn)的仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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