Throughput analysis in censoring‐based cooperative cognitive radio network with energy harvesting

Summary An energy harvesting (EH) and cooperative cognitive radio (CR) network (CRN) is studied in this paper where CR users transmit data through a primary user (PU) channel if the channel remains idle, else an optimal number CRs helps in transmission of PU. To achieve the optimum number of CRs (ONCR) involved in cooperation, a novel scheme based on a combination of channel censoring and total error is proposed. The performance of the proposed scheme is investigated under RF harvesting scenario. The EH is dependent on sensing decision and a CR source harvests energy from PU's RF signal. The harvested energy (HE) is split into two parts: One part is used by the CR network (CRN) for its own transmission, and the other part is used for supporting PU. The effect of the energy allocation factor on total throughput is also investigated. New expressions for optimal number of CRs and throughput are developed. The effect of network parameters such as sensing time, censoring threshold, and energy allocation parameter (EAP) on throughput is investigated. Impact of distance between nodes is also studied. An energy harvesting and cooperative cognitive radio (CR) network (CRN) is studied in which CR transmits as well as cooperates PU. The impact of sensing time, number of cooperative CRs, censoring threshold, and EAP on throughput is studied. Probability of channel to be free is studied for several schemes; impact of energy allocation parameter is also significant; throughput increases as the censoring threshold decreases. Impact of distance on the network between PU to CR and CR source to CR destination is also studied.