Efficient resource allocation algorithm in uplink ofdm-based cognitive radio networks

The computational complexity of resource allocation processes, in cognitive radio networks (CRNs), is a major issue to be managed. Furthermore, the complicated solution of the optimal algorithm for handling resource allocation in CRNs makes it unsuitable to adopt in real-world applications where bot...

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Main Authors: Abdulghafoor, Omar, Shaat, Musbah, Shayea, Ibraheem, Hamood, Ahmad, Abdelmaboud, Abdelzahir, Ibrahim, Ashraf Osman, Mukhlif, Fadhil, Badal, Herish, Ithnin, Norafida, Lwas, Ali Khadim
Format: Article
Language:English
Published: Tech Science Press 2023
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Online Access:http://eprints.utm.my/106373/1/NorafidaIthnin2023_EfficientResourceAllocationAlgorithminUplink.pdf
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author Abdulghafoor, Omar
Shaat, Musbah
Shayea, Ibraheem
Hamood, Ahmad
Abdelmaboud, Abdelzahir
Ibrahim, Ashraf Osman
Mukhlif, Fadhil
Badal, Herish
Ithnin, Norafida
Lwas, Ali Khadim
author_facet Abdulghafoor, Omar
Shaat, Musbah
Shayea, Ibraheem
Hamood, Ahmad
Abdelmaboud, Abdelzahir
Ibrahim, Ashraf Osman
Mukhlif, Fadhil
Badal, Herish
Ithnin, Norafida
Lwas, Ali Khadim
author_sort Abdulghafoor, Omar
collection ePrints
description The computational complexity of resource allocation processes, in cognitive radio networks (CRNs), is a major issue to be managed. Furthermore, the complicated solution of the optimal algorithm for handling resource allocation in CRNs makes it unsuitable to adopt in real-world applications where both cognitive users, CRs, and primary users, PUs, exist in the identical geographical area. Hence, this work offers a primarily price-based power algorithm to reduce computational complexity in uplink scenarios while limiting interference to PUs to allowable threshold. Hence, this paper, compared to other frameworks proposed in the literature, proposes a two-step approach to reduce the complexity of the proposed mathematical model. In the first step, the subcarriers are assigned to the users of the CRN, while the cost function includes a pricing scheme to provide better power control algorithm with improved reliability proposed in the second stage. The main contribution of this paper is to lessen the complexity of the proposed algorithm and to offer flexibility in controlling the interference produced to the users of the primary networks, which has been achieved by including a pricing function in the proposed cost function. Finally, the performance of the proposed power and subcarrier algorithm is confirmed for orthogonal frequency-division multiplexing (OFDM). Simulation results prove that the performance of the proposed algorithm is better than other algorithms, albeit with a lesser complexity of O(NM) + O(Nlog(N)).
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spelling utm.eprints-1063732024-06-29T07:07:39Z http://eprints.utm.my/106373/ Efficient resource allocation algorithm in uplink ofdm-based cognitive radio networks Abdulghafoor, Omar Shaat, Musbah Shayea, Ibraheem Hamood, Ahmad Abdelmaboud, Abdelzahir Ibrahim, Ashraf Osman Mukhlif, Fadhil Badal, Herish Ithnin, Norafida Lwas, Ali Khadim QA75 Electronic computers. Computer science The computational complexity of resource allocation processes, in cognitive radio networks (CRNs), is a major issue to be managed. Furthermore, the complicated solution of the optimal algorithm for handling resource allocation in CRNs makes it unsuitable to adopt in real-world applications where both cognitive users, CRs, and primary users, PUs, exist in the identical geographical area. Hence, this work offers a primarily price-based power algorithm to reduce computational complexity in uplink scenarios while limiting interference to PUs to allowable threshold. Hence, this paper, compared to other frameworks proposed in the literature, proposes a two-step approach to reduce the complexity of the proposed mathematical model. In the first step, the subcarriers are assigned to the users of the CRN, while the cost function includes a pricing scheme to provide better power control algorithm with improved reliability proposed in the second stage. The main contribution of this paper is to lessen the complexity of the proposed algorithm and to offer flexibility in controlling the interference produced to the users of the primary networks, which has been achieved by including a pricing function in the proposed cost function. Finally, the performance of the proposed power and subcarrier algorithm is confirmed for orthogonal frequency-division multiplexing (OFDM). Simulation results prove that the performance of the proposed algorithm is better than other algorithms, albeit with a lesser complexity of O(NM) + O(Nlog(N)). Tech Science Press 2023 Article PeerReviewed application/pdf en http://eprints.utm.my/106373/1/NorafidaIthnin2023_EfficientResourceAllocationAlgorithminUplink.pdf Abdulghafoor, Omar and Shaat, Musbah and Shayea, Ibraheem and Hamood, Ahmad and Abdelmaboud, Abdelzahir and Ibrahim, Ashraf Osman and Mukhlif, Fadhil and Badal, Herish and Ithnin, Norafida and Lwas, Ali Khadim (2023) Efficient resource allocation algorithm in uplink ofdm-based cognitive radio networks. Computers, Materials and Continua, 75 (2). pp. 3045-3064. ISSN 1546-2218 http://dx.doi.org/10.32604/cmc.2023.033888 DOI : 10.32604/cmc.2023.033888
spellingShingle QA75 Electronic computers. Computer science
Abdulghafoor, Omar
Shaat, Musbah
Shayea, Ibraheem
Hamood, Ahmad
Abdelmaboud, Abdelzahir
Ibrahim, Ashraf Osman
Mukhlif, Fadhil
Badal, Herish
Ithnin, Norafida
Lwas, Ali Khadim
Efficient resource allocation algorithm in uplink ofdm-based cognitive radio networks
title Efficient resource allocation algorithm in uplink ofdm-based cognitive radio networks
title_full Efficient resource allocation algorithm in uplink ofdm-based cognitive radio networks
title_fullStr Efficient resource allocation algorithm in uplink ofdm-based cognitive radio networks
title_full_unstemmed Efficient resource allocation algorithm in uplink ofdm-based cognitive radio networks
title_short Efficient resource allocation algorithm in uplink ofdm-based cognitive radio networks
title_sort efficient resource allocation algorithm in uplink ofdm based cognitive radio networks
topic QA75 Electronic computers. Computer science
url http://eprints.utm.my/106373/1/NorafidaIthnin2023_EfficientResourceAllocationAlgorithminUplink.pdf
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