Decoding feedback based sensing strategy for cognitive radio network

As a promising solution to the spectrum scarcity problem, cognitive radio (CR) has received much attention recently, The key component of CR is the spectrum sensing technique that can detect the idling spectrum of the authorized user. Currently, the accuracy of spectrum sensing remains a significant constraint that limits the practical application of CR. In this paper, we propose an enhanced spectrum sensing scheme based on decoding feedback strategy, where the secondary receiver decodes the desired signal and utilizes the remaining part for spectrum sensing. Specifically, we embed this concept into the underlay scheme with no silent slot in order to improve the throughput of the secondary user. The corresponding sensing performance is analyzed, based on which we formulate the optimization problems and derive the optimal transmission parameters. Simulation results show that, the proposed scheme can significantly improve the achievable throughput of the secondary system comparing to the traditional underlay scheme.