Dynamic Spectrum Allocation in Cognitive Radio Networks Using Evolutionary Game Theory

International Journal of Computer Science and Technology | Vol. 10, No. 3, March 2008 | pp. 17–24

DOI: 10.46882/2008/IJCST/103012

Research Article

Title: Dynamic Spectrum Allocation in Cognitive Radio Networks Using Evolutionary Game Theory

Names of Authors: Kofi A. Mensah¹, Osei W. Boateng²

Authors’ Affiliations: ¹Department of Telecommunication Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana; ²Advanced Communications Laboratory, Council for Scientific and Industrial Research, Accra, Ghana

Abstract: Spectrum scarcity represents a major barrier to accommodating the accelerating demands of contemporary wireless networks. Cognitive Radio (CR) technology offers an opportunistic solution, yet optimizing spectrum allocation among secondary users without interfering with primary licensees remains an open challenge. This paper models the dynamic spectrum sharing problem as a non-cooperative multi-player game, applying evolutionary game theory to derive stable network equilibria. We propose an adaptive replicator dynamics algorithm that drives secondary user nodes to dynamically alter their channel selections based on localized utility feedback, which encapsulates bandwidth availability, pricing, and signal-to-interference-plus-noise ratios (SINR). Network simulations demonstrate that the algorithm consistently converges to a Nash Equilibrium within 45 iterations across highly fluid topologies. Secondary user throughput increased by 31.8% compared to static allocation models, while maintaining primary user interference below the threshold limit of -110 dBm. The network achieved an aggregate spectrum utilization efficiency of 89.6% ± 0.7%, indicating high structural robustness for heterogeneous wireless communications.

Keywords: Cognitive radio, spectrum allocation, evolutionary game theory, Nash equilibrium, replicator dynamics, interference mitigation

Manuscript Timeline: Received December 5, 2007; Revised January 20, 2008; Accepted February 15, 2008; Published March 8, 2008

Citation: Mensah, K. A., & Boateng, O. W. (2008). Dynamic Spectrum Allocation in Cognitive Radio Networks Using Evolutionary Game Theory. International Journal of Computer Science and Technology, 10(3), 17–24.

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