Cooperative ARQ Retransmission based Spectrum Leasing for Cognitive Radio Networks

This paper addresses the spectrum leasing issue in cognitive radio networks by exploiting the primary user's cooperative ARQ (automatic repeated-request). To incentivize the otherwise non-cooperative users, we propose a novel trading model to foster the cooperation in the context of cooperative retransmitting. By formulating the network as a Stackelberg game, we maximize the utilities of both primary and secondary users in terms of transmission rates and revenues. We analyze the existence of the unique Nash equilibrium of the game, and give the optimal solutions with corresponding constraints. Numerical results demonstrate the efficiency of the proposed framework, under which the performance of the whole system could be substantially improved.