Reconfigurable intelligent surfaces based cognitive radio networks

Abubakar U. Makarfi; Rupak Kharel; Khaled M. Rabie; Omprakash Kaiwartya; Xingwang Li; Dinh Thuan Do

doi:10.1109/WCNCW49093.2021.9419976

Reconfigurable intelligent surfaces based cognitive radio networks

Abubakar U. Makarfi, Rupak Kharel, Khaled M. Rabie, Omprakash Kaiwartya, Xingwang Li, Dinh Thuan Do

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

23 Scopus citations

Abstract

Over the last decade, cognitive radios (CRs) have emerged as a technology for improving spectrum efficiency through dynamic spectrum access techniques. More recently, as research interest is shifting beyond 5G communications, new technologies such as reconfigurable intelligent surfaces (RISs) have emerged as enablers of smart radio environments, to further improve signal coverage and spectrum management capabilities. Based on the promise of CRs and RISs, this paper seeks to investigate the concept of adopting both concepts within a network as a means of maximizing the potential benefits available. The paper considers two separate models of RIS-based networks and analyzes several performance metrics associated with the CR secondary user. Monte Carlo simulations are presented to validate the derived expressions. The results indicate the effects of key parameters of the system and the clear improvement of the CR network, in the presence of a RIS-enhanced primary network.

Original language	English
Title of host publication	2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728195070
DOIs	https://doi.org/10.1109/WCNCW49093.2021.9419976
State	Published - 29 Mar 2021
Externally published	Yes
Event	2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021 - Nanjing, China Duration: 29 Mar 2021 → …

Publication series

Name	2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021

Conference

Conference	2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021
Country/Territory	China
City	Nanjing
Period	29/03/21 → …

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

Cognitive radio
Reconfigurable intelligent surface
Spectrum management

ASJC Scopus subject areas

Hardware and Architecture
Computer Networks and Communications
Computer Science Applications

Access to Document

10.1109/WCNCW49093.2021.9419976

Cite this

Makarfi, A. U., Kharel, R., Rabie, K. M., Kaiwartya, O., Li, X., & Do, D. T. (2021). Reconfigurable intelligent surfaces based cognitive radio networks. In 2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021 Article 9419976 (2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNCW49093.2021.9419976

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title = "Reconfigurable intelligent surfaces based cognitive radio networks",

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Makarfi, AU, Kharel, R, Rabie, KM, Kaiwartya, O, Li, X & Do, DT 2021, Reconfigurable intelligent surfaces based cognitive radio networks. in 2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021., 9419976, 2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021, Nanjing, China, 29/03/21. https://doi.org/10.1109/WCNCW49093.2021.9419976

Reconfigurable intelligent surfaces based cognitive radio networks. / Makarfi, Abubakar U.; Kharel, Rupak; Rabie, Khaled M. et al.
2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 9419976 (2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Kharel, Rupak

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AU - Li, Xingwang

AU - Do, Dinh Thuan

PY - 2021/3/29

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N2 - Over the last decade, cognitive radios (CRs) have emerged as a technology for improving spectrum efficiency through dynamic spectrum access techniques. More recently, as research interest is shifting beyond 5G communications, new technologies such as reconfigurable intelligent surfaces (RISs) have emerged as enablers of smart radio environments, to further improve signal coverage and spectrum management capabilities. Based on the promise of CRs and RISs, this paper seeks to investigate the concept of adopting both concepts within a network as a means of maximizing the potential benefits available. The paper considers two separate models of RIS-based networks and analyzes several performance metrics associated with the CR secondary user. Monte Carlo simulations are presented to validate the derived expressions. The results indicate the effects of key parameters of the system and the clear improvement of the CR network, in the presence of a RIS-enhanced primary network.

AB - Over the last decade, cognitive radios (CRs) have emerged as a technology for improving spectrum efficiency through dynamic spectrum access techniques. More recently, as research interest is shifting beyond 5G communications, new technologies such as reconfigurable intelligent surfaces (RISs) have emerged as enablers of smart radio environments, to further improve signal coverage and spectrum management capabilities. Based on the promise of CRs and RISs, this paper seeks to investigate the concept of adopting both concepts within a network as a means of maximizing the potential benefits available. The paper considers two separate models of RIS-based networks and analyzes several performance metrics associated with the CR secondary user. Monte Carlo simulations are presented to validate the derived expressions. The results indicate the effects of key parameters of the system and the clear improvement of the CR network, in the presence of a RIS-enhanced primary network.

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Makarfi AU, Kharel R, Rabie KM, Kaiwartya O, Li X, Do DT. Reconfigurable intelligent surfaces based cognitive radio networks. In 2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021. Institute of Electrical and Electronics Engineers Inc. 2021. 9419976. (2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021). doi: 10.1109/WCNCW49093.2021.9419976

Reconfigurable intelligent surfaces based cognitive radio networks

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this