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LEO satellite communication has drawn particular attention recently due toits high data rate services and low round-trip latency. It is low-cost tolaunch and can provide global coverage. However, the spectrum scarcity might beone of the critical challenges in the growth of LEO satellites, impactingsevere restrictions on the development of ground-space integrated networks. Toaddress this issue, we propose RSMA for CR enabled GEO-LEO coexisting satellitenetwork. In particular, this work aims to maximize the system's sum rate bysimultaneously optimizing the power allocation and subcarrier beam assignmentof LEO satellite communication while restricting the interference temperatureto GEO satellite users. The problem of sum rate maximization is formulated asnon-convex and a Global optimal solution is challenging to obtain. Therefore,we first employ the successive convex approximation technique to reduce thecomplexity and make the problem more tractable. Then for the power allocation,we exploit KKT condition and adopt an efficient algorithm based on the greedyapproach for subcarrier beam assignment. We also propose two suboptimal schemeswith fixed power allocation and random subcarrier beam assignment as thebenchmark. Results demonstrate the benefits of the proposed scheme compared tothe benchmark schemes.

Rate Splitting Multiple Access for Cognitive Radio GEO-LEO Co-Existing Satellite Networks