Cooperation and energy harvesting based spectrum sensing schemes for green cognitive radio networks

Abstract

Cognitive radio network (CRNs) with energy harvesting approach to identify unused spectrum bands and utilize them opportunistically is observed as an evolving technology to handle spectrum scarcity problems. In CRNs, the secondary users (SUs) continuously sense the primary user's (PUs) spectrum to secure the data transmission of PUs and to access the vacant PU's spectrum for their data transmission. For designing future green networks, it is essential that the spectrum sensing process must be accurate, rapid, and energy‐efficient. Therefore, in this work, three sensing schemes are proposed. The first is a cooperation‐based joint cooperation spectrum sensing (JCSS) scheme in which the cooperative CRNs permit the SUs, working in an identical band, to cooperate, and this cooperation approach decreases sensing time and improves sensing probability for vacant spectrum. The result shows that the sensing probability for a vacant spectrum is increased by 34%. The proposed JCSS scheme considers the inherent asymmetry property of the network; therefore, it helps to improve the overall rapidity gain of the networks. The other two proposed sensing schemes, preset spectrum sensing (PSS) and viscous spectrum sensing (VSS), are based on energy harvesting that analyzes the percentage of energy‐saving for various states. The suggested schemes are better in terms of scalability because, in these schemes, it is not essential to sense all spectrums, which leads to a reduction in sensing time.

CSAT‐FRMET: An energy‐efficient hybrid FiWi network‐based 5G model

“…From the analysis, it is noted that 19 has an ECMCC problem and the worst‐case playback delay has occurred in Reference 20. Reference21 reduce throughput, and reduce network performance, 3 not work on joint energy resource allocation, 22 rely on the offloading option, 23 do not take into account the diverse user, 24 not support the selective retransmission and 25 must focus on energy‐efficient EC mechanism designs, 26 must enhance latency calculations, 27 energy efficiency is reduced due to low precision in References 28,29 sensing probability must be improved.…”

“…Srivastava et al 29 introduced three sensing techniques in this article. The first is a cooperation‐based cooperation spectrum sensing (JCSS) system in which cooperative CRNs allow SUs working in the same band to collaborate, and this cooperation approach reduces sensing time and increases sensing probability for vacant spectrum.…”