L-CAQ: Joint link-oriented channel-availability and channel-quality based channel selection for mobile cognitive radio networks

Channel availability probability (CAP) and channel quality (CQ) are two key metrics that can be used to efficiently design a channel selection strategy in cognitive radio networks. For static scenarios, i.e., where all the users are immobile, the CAP metric depends only on the primary users' ac...

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Main Authors: Rahman, Md. Arafatur, A. Taufiq, Asyhari, Bhuiyan, Md Zakirul Alam, Salih, Qusay Medhat, Kamal Z., Zamli
Format: Article
Language:English
Published: Elsevier Ltd. 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/22936/
http://umpir.ump.edu.my/id/eprint/22936/
http://umpir.ump.edu.my/id/eprint/22936/
http://umpir.ump.edu.my/id/eprint/22936/1/L-CAQ-%20Joint%20link-oriented%20channel-availability%20and%20channel-quality%20based%20channel.pdf
id ump-22936
recordtype eprints
spelling ump-229362018-12-05T01:35:32Z http://umpir.ump.edu.my/id/eprint/22936/ L-CAQ: Joint link-oriented channel-availability and channel-quality based channel selection for mobile cognitive radio networks Rahman, Md. Arafatur A. Taufiq, Asyhari Bhuiyan, Md Zakirul Alam Salih, Qusay Medhat Kamal Z., Zamli QA76 Computer software Channel availability probability (CAP) and channel quality (CQ) are two key metrics that can be used to efficiently design a channel selection strategy in cognitive radio networks. For static scenarios, i.e., where all the users are immobile, the CAP metric depends only on the primary users' activity whereas the CQ metric remains relatively constant. In contrast, for mobile scenarios, the values of both metrics fluctuate not only with time (time-variant) but also over different links between users (link-variant) due to the dynamic variation of primary- and secondary-users' relative positions. As an attempt to address this dynamic fluctuation, this paper proposes L-CAQ: a link-oriented channel-availability and channel-quality based channel selection strategy that aims to maximize the link throughput. The L-CAQ scheme considers accurate estimation of the aforementioned two channel selection metrics, which are governed by the mobility-induced non-stationary network topology, and endeavors to select a channel that jointly maximizes the CAP and CQ. The benefits of the proposed scheme are demonstrated through numerical simulation for mobile cognitive radio networks. Elsevier Ltd. 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22936/1/L-CAQ-%20Joint%20link-oriented%20channel-availability%20and%20channel-quality%20based%20channel.pdf Rahman, Md. Arafatur and A. Taufiq, Asyhari and Bhuiyan, Md Zakirul Alam and Salih, Qusay Medhat and Kamal Z., Zamli (2018) L-CAQ: Joint link-oriented channel-availability and channel-quality based channel selection for mobile cognitive radio networks. Journal of Network and Computer Applications, 113. pp. 26-35. ISSN 1084-8045 https://doi.org/10.1016/j.jnca.2018.03.022 doi: 10.1016/j.jnca.2018.03.022
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Rahman, Md. Arafatur
A. Taufiq, Asyhari
Bhuiyan, Md Zakirul Alam
Salih, Qusay Medhat
Kamal Z., Zamli
L-CAQ: Joint link-oriented channel-availability and channel-quality based channel selection for mobile cognitive radio networks
description Channel availability probability (CAP) and channel quality (CQ) are two key metrics that can be used to efficiently design a channel selection strategy in cognitive radio networks. For static scenarios, i.e., where all the users are immobile, the CAP metric depends only on the primary users' activity whereas the CQ metric remains relatively constant. In contrast, for mobile scenarios, the values of both metrics fluctuate not only with time (time-variant) but also over different links between users (link-variant) due to the dynamic variation of primary- and secondary-users' relative positions. As an attempt to address this dynamic fluctuation, this paper proposes L-CAQ: a link-oriented channel-availability and channel-quality based channel selection strategy that aims to maximize the link throughput. The L-CAQ scheme considers accurate estimation of the aforementioned two channel selection metrics, which are governed by the mobility-induced non-stationary network topology, and endeavors to select a channel that jointly maximizes the CAP and CQ. The benefits of the proposed scheme are demonstrated through numerical simulation for mobile cognitive radio networks.
format Article
author Rahman, Md. Arafatur
A. Taufiq, Asyhari
Bhuiyan, Md Zakirul Alam
Salih, Qusay Medhat
Kamal Z., Zamli
author_facet Rahman, Md. Arafatur
A. Taufiq, Asyhari
Bhuiyan, Md Zakirul Alam
Salih, Qusay Medhat
Kamal Z., Zamli
author_sort Rahman, Md. Arafatur
title L-CAQ: Joint link-oriented channel-availability and channel-quality based channel selection for mobile cognitive radio networks
title_short L-CAQ: Joint link-oriented channel-availability and channel-quality based channel selection for mobile cognitive radio networks
title_full L-CAQ: Joint link-oriented channel-availability and channel-quality based channel selection for mobile cognitive radio networks
title_fullStr L-CAQ: Joint link-oriented channel-availability and channel-quality based channel selection for mobile cognitive radio networks
title_full_unstemmed L-CAQ: Joint link-oriented channel-availability and channel-quality based channel selection for mobile cognitive radio networks
title_sort l-caq: joint link-oriented channel-availability and channel-quality based channel selection for mobile cognitive radio networks
publisher Elsevier Ltd.
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/22936/
http://umpir.ump.edu.my/id/eprint/22936/
http://umpir.ump.edu.my/id/eprint/22936/
http://umpir.ump.edu.my/id/eprint/22936/1/L-CAQ-%20Joint%20link-oriented%20channel-availability%20and%20channel-quality%20based%20channel.pdf
first_indexed 2023-09-18T22:34:08Z
last_indexed 2023-09-18T22:34:08Z
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