Preference Aware User Pairing in Cognitive Radio Networks: A Coalition Game-Theoretic Approach
Xiaofang Deng, Cuiling Li, Bingyi Guo, Lin Zheng, Hongbing Qiu · 2019
As a promising technology to address the low spectrum utilization dilemma, cognitive radio networks (CRNs) provides secondary users(SUs) opportunities to access the idle spectrum channels of primary users(PUs). However, due to the SUs' competitiveness to access the limit spectrum resources, some SUs always fail to obtain channels if they lack sufficient competitive ability. To improve the overall performance of SUs, in this paper, a novel user pairing scheme is proposed, which can be formulated as a coalition game. In the game, by measuring competitiveness, SUs match applicable neighbors in terms of system efficiency. To obtain the optimal utilities, a preference aware user pairing algorithm is proposed to acquire the near-optimal solution based on Karush-Kuhn-Tucker(KKT)-Conditions. Simulation results demonstrate that the proposed algorithm shows better performance in terms of system utility compared to existing pairing algorithms.