Maximizing Energy Efficiency in Hybrid Overlay-Underlay Cognitive Radio Networks Based on Energy Harvesting-Cooperative Spectrum Sensing

Yan Liu, Xizhong Qin, Yan Huang, Li Tang and Jinjuan Fu
Additional contact information
Yan Liu: College of Information Science and Engineering, Xinjiang University, Urumchi 830000, China
Xizhong Qin: College of Information Science and Engineering, Xinjiang University, Urumchi 830000, China
Yan Huang: Network Department, China Mobile Communications Group Xinjiang Co., Ltd., Urumchi 830000, China
Li Tang: Network Department, China Mobile Communications Group Xinjiang Co., Ltd., Urumchi 830000, China
Jinjuan Fu: College of Information Science and Engineering, Xinjiang University, Urumchi 830000, China

Energies, 2022, vol. 15, issue 8, 1-18

Abstract: Spectrum demand has increased with the rapid growth of wireless devices and wireless service usage. The rapid development of 5G smart cities and the industrial Internet of Things makes the problem of spectrum resource shortage and increased energy consumption even more severe. To address the issues of high energy consumption for spectrum sensing and low user access rate in the cognitive radio networks (CRN) model powered entirely by energy harvesting, we propose a novel energy harvesting (EH)-distributed cooperative spectrum sensing (DCSS) architecture that allows SUs to acquire from the surrounding environment and radio frequency (RF) signals energy, and an improved distributed cooperative spectrum sensing scheme based on energy-correlation is proposed. First, we formulate an optimization problem to select a leader for each channel; then formulate another optimization problem to select the corresponding cooperative secondary users (SUs). Each channel has a fixed SUs cluster in each time slot to sense the main user state, which can reduce the energy consumption of SUs sensing and can reduce the sensing time, and the remaining time can be used for data transmission to improve throughput, and finally achieve the purpose of improving energy efficiency. Simulation results show that our proposed scheme significantly outperforms the centralized scheme in terms of SUs access capability and energy efficiency.

Keywords: cognitive radio networks; hybrid underlay-overlay scheme; cooperative spectrum sensing; energy harvesting; energy-efficiency (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/8/2803/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/8/2803/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:8:p:2803-:d:791917

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().