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Due to the increasingly new communication technologies and growing traffic demands, dynamic spectrum allocation method becomes insufficient to guarantee the satisfaction of main wireless communication requirements such as spectrum and energy efficiency. In order to meet different requests, rate splitting multiple access (RSMA) has been recently presented as a generalized multiple access technique. In this study, we design a novel RSMA resource management scheme based on the cooperative bargaining game theory. According to the fundamental ideas of pessimistic utilitarian and optimistic max-min bargaining solutions, we can leverage a mutual consensus among different network users to improve the total system performance. Based on our interactive bargaining approach, the proposed scheme adaptively controls the spectrum and power resources in the RSMA system. To get a desirable fair-efficient solution, our bargaining strategy can make control decisions in a coordinated manner while ensuring the relevant trade-off between conflicting criteria. Under the diverse RSMA traffic scenario, the numerical simulation results demonstrate the efficiency of our proposed scheme over the existing state-of-the-art protocols. Finally, some open issues are spotted to shed lights on the need for further studies and future research efforts.

Efficient Rate Splitting Multiple Access Scheme Based Cooperative Bargaining Solutions