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Non-Orthogonal Multiple Access (NOMA) has potentials to improve theperformance of multi-beam satellite systems. The performance optimization insatellite-NOMA systems can be different from that in terrestrial-NOMA systems,e.g., considering distinctive channel models, performance metrics, powerconstraints, and limited flexibility in resource management. In this paper, weadopt a metric, Offered Capacity to requested Traffic Ratio (OCTR), to measurethe requested-offered data (or rate) mismatch in multi-beam satellite systems.In the considered system, NOMA is applied to mitigate intra-beam interferencewhile precoding is implemented to reduce inter-beam interference. We jointlyoptimize power, decoding orders, and terminal-timeslot assignment to improvethe max-min fairness of OCTR. The problem is inherently difficult due to thepresence of combinatorial and non-convex aspects. We first fix theterminal-timeslot assignment, and develop an optimal fast-convergencealgorithmic framework based on Perron-Frobenius theory (PF) for the remainingjoint power-allocation and decoding-order optimization problem. Under thisframework, we propose a heuristic algorithm for the original problem, whichiteratively updates the terminal-timeslot assignment and improves the overallOCTR performance. Numerical results verify that max-min OCTR is a suitablemetric to address the mismatch issue, and is able to improve the fairness amongterminals. In average, the proposed algorithm improves the max-min OCTR by40.2% over Orthogonal Multiple Access (OMA).

NOMA-Enabled Multi-Beam Satellite Systems: Joint Optimization to Overcome Offered-Requested Data Mismatches