Optimization of Sensing Time in Cognitive Radio Networks Based on Localization Algorithm

Poornima, P.; Chithra, S.

doi:10.1007/978-3-030-34515-0_5

Cited by 2 publications

(1 citation statement)

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“…We have surveyed various literature focusing on the spectrum sensing aspect of CRNs. The sensing time of SU has been calculated in Reference 7, but in the proposed work, there is an assumption that during the SU's transmission, the PU did not use the channel. A frequency‐based spectrum sensing method is suggested in Reference 8.…”

Section: Related Workmentioning

confidence: 99%

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

Srivastava

Kaur

2022

Trans Emerging Tel Tech

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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.

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Section: Related Workmentioning

confidence: 99%