Throughput Analysis of Cooperative Spectrum Sensing with Hard-decision Fusion over Generalized κ – μ Fading Channel

In this paper, a cooperative spectrum sensing system (CSSS) based on energy detection method and hard-decision fusion is proposed. The performance through complementary receiver operating characteristics (CROC), total error rate (TER), and throughput is analytically investigated under the influence of noise and generalized κ - μ fading. More precisely, each cognitive radio (CR) senses the PU through erroneous sensing (S) channels and reports the sensing information in the form of binary-decision obtained using energy detector (ED) to fusion center (FC) through erroneous reporting (R) channels. Next, the hard-decision is performed at FC to obtain a global decision on the status (active or inactive) of the PU. Towards that, we derive a novel-analytic expression of detection probability subject to noise and κ - μ fading is derived. The analytical frame works based on derived expression for evaluating TER and throughput performance for any network and channel conditions are developed. Further, the CSSS performance for differen network parameters such as channel error probability, time bandwidth product, signal to noise ratio (SNR), number of CRs, detection threshold under various fusion rules is investigated. Finally, an optimal detection threshold, an optimal number of CRs, and maximum throughput for several network parameters subject fusion rule are also determined.