Optimal Balancing between Efficiency and Fairness for Resource Management in Cognitive Radio Networks: A Dynamic Game-Theoretic Approach

Abstract

Efficiency and fairness are the two critical and conflicting criterion indicators to measure radio resource management performance including the power and transmit control in the cognitive context. The best tradeoff is achieved using the dynamic game-theoretical approach in this paper, from the individual rationality and the social fairness perspective. Therefore, a two-step resource management scheme is investigated in the cognitive radio networks context, where the initial allocation focus on the personal efficiency and the second adjustment focus on the social fairness and the overall performance. Both the proposed algorithms during the two-steps scheme are distributed, with the help of the iterative water-filling algorithm and the sub-gradient method. Simulation numerical results tell the performance of the proposed algorithm.