NOMA-enabled multi-beam satellite systems: Joint optimization to overcome offered-requested data mismatches
Non-Orthogonal Multiple Access (NOMA) has the 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...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/336058 |
| Acceso en línea: | https://hdl.handle.net/2117/336058 https://dx.doi.org/10.1109/TVT.2020.3047453 |
| Access Level: | acceso abierto |
| Palabra clave: | Artificial satellites in telecommunication Electromagnetic interference Non-orthogonal multiple access (NOMA) Multibeam satellite systems Offered capacity to requested traffic ratio (OCTR) Resource optimization Max-min fairness Satèl·lits artificials en telecomunicació Interferència electromàgnetica Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Satèl·lits i ràdioenllaços |
| Sumario: | Non-Orthogonal Multiple Access (NOMA) has the 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 the 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. On average, the proposed algorithm improves the max-min OCTR by 40.2% over Orthogonal Multiple Access (OMA). |
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