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Spectrum sensing in optical wireless communication network
Transactions on Emerging Telecommunications Technologies ( IF 3.6 ) Pub Date : 2020-01-26 , DOI: 10.1002/ett.3716
Wei‐Chiang Wu

The main focus of this paper is on the issue of spectrum sensing or channel awareness in an optical wireless scattering communication network. We propose two spectrum sensing algorithms to detect M‐ary pulse‐position modulation signal under Poisson channel statistic. The first algorithm premises on symbol‐by‐symbol block processing, in which the photon‐counting receiver collects the received photons during a symbol interval and a Neyman‐Pearson decision rule is developed to determine the optimum decision threshold, whereas the second algorithm is based on chip‐level sequential as well as diversity detection. Performances of both algorithms are extensively analyzed in terms of the detection probability, the false alarm probability, the average detection delay, and the average false alarm run length. Simulation results demonstrate that scheme 2 outperforms scheme 1 under different scenarios. We also analyze the existing algorithm on the considered signal model and verify the effectiveness of the proposed algorithms over existing spectrum sensing algorithm.

中文翻译:

光学无线通信网络中的频谱感应

本文的主要重点是光无线散射通信网络中的频谱感测或信道感知问题。我们提出两种频谱感应算法来检测M泊松信道统计量下的三阶脉冲位置调制信号。第一种算法以逐符号块处理为前提,在该算法中,光子计数接收器在一个符号间隔内收集接收到的光子,并开发了一个Neyman-Pearson决策规则来确定最佳决策阈值,而第二种算法是基于芯片级顺序以及分集检测。两种算法的性能都根据检测概率,虚警概率,平均检测延迟和平均虚警运行时间进行了广泛分析。仿真结果表明,在不同情况下,方案2优于方案1。
更新日期:2020-01-26
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