Improved Cooperative Spectrum Sensing Scheme Using Truncated SPRT in Internet of Things

Abstract

The key technique of cognitive radio(CR) is spectrum sensing. It shows that the cooperative spectrum sensing(CSS) can improve the detection probability. However, in the CSS of high real-time scene of internet of things(IoT), sensing and reporting period cannot be neglected, which leads to the high latency and low throughput. In this paper, we consider an improved CSS scheme, where each cognitive node employs the multi-taper sensing method(MTM) on every collected observation vector and performs truncated sequential probability ratio test (T-SPRT) on MTM results. Theoretical analysis and expressions for latency and throughput are derived based on the designed frame structure. Simulation results demonstrate that the proposed scheme decreases sensing latency and improves throughput with high detection probability.