Abstract
Non-Orthogonal Multiple Access (NOMA) has potentials to improve the performance of multi-beam satellite systems. The performance optimization in satellite-NOMA systems can be different from that in terrestrial-NOMA systems, e.g., considering distinctive channel models, performance metrics, power constraints, and limited flexibility in resource management. In this paper, we adopt a metric, Offered Capacity to requested Traffic Ratio (OCTR), to measure the requested-offered data (or rate) mismatch in multi-beam satellite systems. In the considered system, NOMA is applied to mitigate intra-beam interference while precoding is implemented to reduce inter-beam interference. We jointly optimize power, decoding orders, and terminal-timeslot assignment to improve the max-min fairness of OCTR. The problem is inherently difficult due to the presence of combinatorial and non-convex aspects. We first fix the terminal-timeslot assignment, and develop an optimal fast-convergence algorithmic framework based on Perron-Frobenius theory (PF) for the remaining joint power-allocation and decoding-order optimization problem. Under this framework, we propose a heuristic algorithm for the original problem, which iteratively updates the terminal-timeslot assignment and improves the overall OCTR performance. Numerical results verify that max-min OCTR is a suitable metric to address the mismatch issue, and is able to improve the fairness among terminals. In average, the proposed algorithm improves the max-min OCTR by 40.2% over Orthogonal Multiple Access (OMA).
Highlights
A MULTI-BEAM satellite system provides wireless services to wide-range areas
We focus on how Non-orthogonal multiple access (NOMA) can help to improve the performance of the practical metric, offered capacity to requested traffic ratio (OCTR), in multi-beam satellite systems
Under the framework of jointly optimizing power allocation and decoding orders (JOPD), we develop a heuristic algorithm to jointly optimizing power allocation, decoding orders, and terminaltimeslot scheduling (JOPDT), which iteratively updates terminal-timeslot assignment and precoding vectors, and improves the overall OCTR performance
Summary
A MULTI-BEAM satellite system provides wireless services to wide-range areas. On the one hand, traffic distribution is typically asymmetric among beams [1]. The asymmetric traffic and the predesigned capacity could result in mismatches between requested traffic and offered capacity [3], i.e., hot beams with unmet traffic demand or cold beams with unused capacity [4]. Both cases are undesirable for satellite operators, which motivates the investigation of flexible resource allocation to reduce the mismatches for future multi-beam satellite systems
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