Resource Allocation Optimization for Orthogonal Frequency Division Multiplexing Access using Modified Utility Function
Authors
Kon Kim
Faculty of Communication, Kim Chaek University of Technology, Pyongyang 999093, Democratic People’s Republic of Korea (KP)
Article Information
DOI: 10.51583/IJLTEMAS.2025.1411000028
Subject Category: Communication
Volume/Issue: 14/11 | Page No: 284-296
Publication Timeline
Submitted: 2025-12-04
Published: 2025-12-04
Abstract
In this paper, we propose an optimal method for resource allocation in OFDMA (Orthogonal Frequency Division Multiplexing Access) system. The utility function is used to balance the efficiency and fairness of wireless resource allocation. We analyze the mathematical property of resource allocation by modified utility function. We develop optimal algorithm for dynamic subcarrier assignment and adaptive power allocation based on modified utility function, and demonstrate the convergence properties of optimization. Simulation results show that the proposed method provides the effective tradeoff between fairness and efficiency in radio resource allocation.
Keywords
OFDMA, Utility Function, Fairness and efficiency, Adaptive power allocation, subcarrier assignment.
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References
1. M. Katoozian,(2009). Utility-Based Adaptive Radio Resource Allocation in OFDM Wireless Networks with Traffic Prioritization, IEEE Trans. Wireless Commu., 8(1), 23-29. [Google Scholar] [Crossref]
2. Ian C. Wong, L. Evans,(2009). Optimal resource allocation in the OFDMA downlink with imperfect channel knowledge, IEEE Trans. on Commu., 57(1), 232-241. [Google Scholar] [Crossref]
3. Guocong Song, Ye Li,(2005). Cross-Layer Optimization for OFDMA Wireless Networks, IEEE Trans. on Wireless Commu., 4(2), 614-624. [Google Scholar] [Crossref]
4. F. Khelifa, A. Samet. (2011). A new approach for sub-channels assignment in downlink fourth generation mobile systems, Journal of Computer Science, 7(9): 1368-137. [Google Scholar] [Crossref]
5. S.Adibi, A.Mobasher, & T.Tofigh (2010). Fourth generation wireless networks. New York: Information science reference(an imprint of IGI global,(chapter 29). [Google Scholar] [Crossref]
6. Martin D., Werner M., & Afif O., (2009). Radio technologies and concepts for IMT Advanced. John Wiley and Sons, Ltd. (chapter 9). [Google Scholar] [Crossref]
7. Lei Xu, Ya-ping Li, Qian-mu Li, Yu-wang Yang, Zhen min Tang, Xiao-fei Zang,(2015). Proportional fair resource allocation based on hybrid ant colony optimization for slow adaptive OFDMA system, Information Sciences, 293, 1-10. [Google Scholar] [Crossref]
8. J.J.Escudero-Garzas, B.bevillers, A.Garcia-Armaola, (2014). Fair-adaptive good put-based resource allocation in OFDMA downlink with ARQ, IEEE Trans. Veh. Technol., 63(3), 1178-1192. [Google Scholar] [Crossref]
9. J.Joung, S.M.Sum, (2012), power efficient resource allocation for downlink OFDMA relay cellular networks, IEEE Trans. Signal Process, 60(5), 2447-2459. [Google Scholar] [Crossref]
10. Alireza Sani, Mahmood Mohassel Fegjji, Aliazam Abbasfar, (2014). Discrete bit loading and power allocation for OFDMA downlink with minimum rate guarantee for users, int.J.Electron.Commun.(AEÜ), 68, 602-610. [Google Scholar] [Crossref]
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