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Efficient Resource Allocation Algorithm in Uplink OFDM-Based Cognitive Radio Networks

Omar Abdulghafoor1, Musbah Shaat2, Ibraheem Shayea3, Ahmad Hamood1, Abdelzahir Abdelmaboud4, Ashraf Osman Ibrahim5, Fadhil Mukhlif6,*, Herish Badal1, Norafida Ithnin6, Ali Khadim Lwas7

1 Electronic & Telecommunications Engineering Department, The American University of Kurdistan, Duhok, Kurdistan Region, Iraq
2 CTTC, Barcelona, Spain
3 Faculty of Electrical and Electronics Engineering, Istanbul Technical University, Istanbul, Turkey
4 Department of Information Systems, King Khalid University, Muhayel Aseer, Saudi Arabia
5 Faculty of Computing and Informatics, University Malaysia Sabah, Kota Kinabalu, Malaysia
6 Information Assurance and Security Research Group (IASRG), School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor, Malaysia
7 R&D, Ministry of Industry and Minerals, Baghdad, Iraq

* Corresponding Author: Fadhil Mukhlif. Email: email

Computers, Materials & Continua 2023, 75(2), 3045-3064.


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)).


Cite This Article

O. Abdulghafoor, M. Shaat, I. Shayea, A. Hamood, A. Abdelmaboud et al., "Efficient resource allocation algorithm in uplink ofdm-based cognitive radio networks," Computers, Materials & Continua, vol. 75, no.2, pp. 3045–3064, 2023.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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