HSA-SPC: Hybrid Spectrum Access with Spectrum Prediction and Cooperation for Performance Enhancement of Multiuser Cognitive Radio Network

The spectrum sensing (SS) is employed to identify the status of licensed channel in the cognitive radio/user (CR/CU). Arbitrarily choosing the licensed channel for sensing in high traffic intensity network results into reduced throughput of cognitive user due to wait state problem in interweave mode. However, the wait state problem is overcome with hybrid spectrum access, resulting into improvement in throughput of CU. In addition, the sensing decisions without cooperation increases the sensing error and affect the sensing performance of CU resulting into reduction in throughput of CU. In this paper, we have proposed new approach that is Hybrid Spectrum Access with Spectrum Prediction and Cooperation (HSA-SPC) of cognitive users in which we have collectively employed spectrum prediction, cooperation and hybrid spectrum access to improve the sensing performance and throughput of CU. Further, for the proposed approach we have considered a new frame structure in multiuser environment and derived the closed form expression for the throughput. In addition to this, we have also shown the computation of energy efficiency for our proposed approach. Further, with the help of simulation results, we have shown the improvement in CU throughput with our proposed approach over reported literature. Comparison of various approaches with the proposed method HSA-SPC is also illustrated.