Energy Detection Based Spectrum Sensing Over Two-Wave With Diffuse Power Fading Channels

Energy Detection Based Spectrum Sensing Over Two-Wave With Diffuse Power Fading Channels
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DOI:
10.1109/tvt.2016.2556084
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发表时间:
2017-01-01
影响因子:
6.8
通讯作者:
Coon, Justin
Coon, Justin
中科院分区:
计算机科学2区
文献类型:
--
作者:
Chatziantoniou, Eleftherios;Allen, Ben;Coon, Justin

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影响能量检测(ED)性能的最重要因素之一是无线节点之间的衰落信道。本文研究了认知无线电 (CR) 中基于 ED 的频谱感知在具有扩散功率 (TWDP) 衰落信道的两波上的性能。 TWDP 衰落模型描述了各种衰落通道的特征,包括众所周知的典型衰落分布,例如瑞利和莱斯,以及由两射线衰落模型建模的比瑞利更差的衰落条件。推导了 TWDP 衰落平均检测概率的新颖解析表达式,该表达式考虑了单用户和协作频谱感知以及平方律选择分集接收。这些表达式用于分析基于 ED 的频谱感知在中度、重度和极端衰落条件下的行为,并研究使用合作和多样性作为减轻衰落影响的手段。获得的结果表明,TWDP 衰落条件会显着降低传感性能;然而,研究表明,当采用合作和分集时,可以提高检测性能。所提出的结果能够识别基于 ED 的频谱传感的局限性,并量化部署在受限环境(例如车载无线网络)内的 CR 系统的检测性能和能源效率之间的权衡。
One of the most important factors that affects the performance of energy detection (ED) is the fading channel between the wireless nodes. This paper investigates the performance of ED-based spectrum sensing, for cognitive radio (CR), over two-wave with diffuse power (TWDP) fading channels. The TWDP fading model characterizes a variety of fading channels, including well-known canonical fading distributions, such as Rayleigh and Rician, as well as worse-than-Rayleigh fading conditions modeled by the two-ray fading model. Novel analytic expressions for the average probability of detection over TWDP fading that account for single-user and cooperative spectrum sensing and square law selection diversity reception are derived. These expressions are used to analyze the behavior of ED-based spectrum sensing over moderate, severe, and extreme fading conditions and to investigate the use of cooperation and diversity as a means of mitigating the fading effects. The obtained results indicate that TWDP fading conditions can significantly degrade sensing performance; however, it is shown that detection performance can be improved when cooperation and diversity are employed. The presented outcomes enable identifying the limits of ED-based spectrum sensing and quantifying the tradeoffs between detection performance and energy efficiency for CR systems deployed within confined environments, such as in-vehicular wireless networks.