Energy Efficient and Interference-aware Spectrum Sensing Technique for Improving the Throughput in Cognitive Radio Networks

Abstract Cognitive Radio network (CRN) depends on opportunistic spectrumaccess and spectrum sensing for improving the wireless networks’ spectrum
efficiency. Since throughput maximization can result in high energyconsumption, the spectrum sensing technique should address the energy-throughput trade off. The spectrum sensing time has to be determined by the
considering the residual battery energies of each secondary user (SU).ThePrimary User (PU) interference degrades the throughput of the entire network.Hence the transmit power level should be determined considering the PUinterference and SU battery energy. This paper proposes Energy Efficient andInterference-aware Spectrum Sensing (EEISS) technique for improving thethroughput in CRN. In this work, the sensing time is dynamically estimatedbased on the battery energy levels of SUs and the transmit power isdetermined depending on PU signal and battery energy levels of SUs. A Game