Cooperative jammer power allocation — A Nash bargaining solution method

In this paper, we investigate a multi-source multi-destination wireless communication network in the presence of an eavesdropper and a cooperative jammer. Nash bargaining solution (NBS) is introduced to investigate the negotiation among the sources on jammer power allocation. In order to improve the network sum-secrecy-rate and maintain sources' fairness at the same time, the optimization problem is formulated as a Nash bargaining game (NBG), which is proved to be a convex optimization problem. The effect of bargaining power selection on sum-secrecy-rate and sources' fairness is investigated analytically and a simple but efficient centralized algorithm is proposed to implement the NBS-based scheme. Simulation results validate the effectiveness and fairness of our proposed scheme.

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