Throughput and Energy Efficiency of Cooperative Cognitive Radio Network over Erroneous Generalized Fading Channel

In the present paper, we propose an energy detection based cooperative cognitive radio network (CCRN) with harddecision combining fusion. All cognitive radio (CR) nodes sense the primary user (PU) using erroneous sensing channels and report their sensed data to the fusion center (FC) using erroneous reporting channels in the form of local one-bit binary-decision. At FC, the final decision about the PU (presence or absence) is obtained using n-out-of-N fusion rule. Specifically, we derive an expression for detection probability under noise and generalized kappa - mu fading channel and the mathematical model for energy efficiency of CCRN is developed. Further, for different values of the CCRN parameters, the performance subject to various decision fusion rules is studied. The analytical performance characteristics are investigated mainly via total error probability (TEP) and energy efficiency over noise and generalized kappa - mu faded channels. Finally, optimized values of the required network parameters are determined and optimal subrule which maximizes the energy efficiency is also identified.