Abstract
Non-orthogonal multiple access (NOMA) has the advantage of increasing throughput and the number of access users than conventional orthogonal multiple access (OMA), which has been paid a lot of attention in multi-beam Low Earth Orbit (LEO) satellite system. Power allocation is an indispensable step in NOMA system, which is closely related to throughput. Aiming at maximizing the throughput of the downlink multi-beam LEO satellite system, power allocation is formulated as a non-convex optimization problem. According to the characteristics of power allocation problem, we propose two heuristic algorithms based on genetic algorithm (GA) and differential evolution (DE) algorithm to solve power allocation problem, which can not only increase system throughput, but also stay robust when faced with different minimum receiving user rate (MRUR) and satellite altitudes. Finally, the simulation results are provided for demonstrating the effectiveness and robustness of the proposed algorithms.
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