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Distance criterion-based quantizer design for cooperative spectrum sensing
Authors:Yuanhua FU  Zhiming HE
Affiliation:1. School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China;2. Institute of Electronic and Information Engineering of University of Electronic Science and Technology of China in Guangdong,Dongguan 523808,China
Abstract:In terms of sensing node’s energy and reporting channel’s bandwidth constrains problem for cooperative spectrum sensing in cognitive radio networks,an optimal quantizer design method based on distance criterion was proposed.First of all,the Bhattacharyya distance of received quantized data at the fusion center (FC) was calculated as performance criteria,the optimization mathematical model of the quantizer was constructed,and the optimum quantization thresholds were obtained by using particle swarm optimization algorithm.According to received sensing nodes’ quantized data at the FC,a log-likelihood ratio detector was constructed to decide the presence or absence of primary user signal,the upper bound to sensing performance of energy detector that without quantization was derived.Compared with the existing methods in literatures,the performance of proposed 3-bit quantization method approaches to the upper bound performance of energy detector,under the premise of obtaining comparable detection performance,the requirement of communication bandwidth is reduced.
Keywords:optimal quantization  distance criterion  particle swarm optimization algorithm  cooperative spectrum sensing  
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