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In this paper, the authors investigate cooperative sensing schemes to identify primary signals in fading environment for Cognitive Radio (CR) networks employing energy detectors. They consider a parallel fusion architecture in which all the sensing devices send their quantized sensing information to an access point, which then applies a fusion rule to determine the presence of the primary signal. They assume independent and identically distributed fading at various CR sensing devices. Considering identical binary quantization at the sensing devices, they study the optimal quantization and data fusion scheme.
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