Abstract
Due to the increasingly new communication technologies and growing traffic demands, dy-namic spectrum allocation method becomes insufficient to guarantee the satisfaction of main wireless com-munication 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 so-lutions, we can leverage a mutual consensus among different network users to improve the total system per-formance. Based on our interactive bargaining approach, the proposed scheme adaptively controls the spec-trum 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.
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