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Power and Load Optimization in Interference-Coupled Non-Orthogonal Multiple Access Networks
Luxembourg Univ, Interdisciplinary Ctr Secur Reliabil & Trust, Luxembourg, Luxembourg.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.ORCID iD: 0000-0002-4741-0715
Luxembourg Univ, Interdisciplinary Ctr Secur Reliabil & Trust, Luxembourg, Luxembourg.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
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2018 (English)In: 2018 IEEE Global Communications Conference (GLOBECOM), IEEE , 2018Conference paper, Published paper (Refereed)
Abstract [en]

Towards energy savings in large-scale non-orthogonal multiple access (NOMA) networks, we investigate power and load optimization for multi-cell and multi-carrier NOMA systems in this paper. To capture the coupling relation of mutual interference among cells, firstly, we extend a load-coupling model from orthogonal multiple access (OMA) to NOMA networks. Next, with this analytical tool, we formulate the considered optimization problem in NOMA-based load-coupled systems, where optimizing load, power, and determining decoding order are the key aspects in the optimization. Theoretically, we prove that the minimum network energy consumption can be achieved by using all the time-frequency resources in each cell to deliver users' demand. To achieve the optimal load and enable efficient power optimization, we develop a power-adjustment algorithm. Numerical results demonstrate promising energy-saving gains of NOMA over OMA in large-scale cellular networks, in particular for the high-demand and resource-limited scenarios.

Place, publisher, year, edition, pages
IEEE , 2018.
Series
IEEE Global Communications Conference, ISSN 2334-0983
Keywords [en]
Non-orthogonal multiple access (NOMA), load coupling, large-scale network, resource allocation, energy optimization
National Category
Telecommunications Communication Systems
Identifiers
URN: urn:nbn:se:uu:diva-386380DOI: 10.1109/GLOCOM.2018.8647669ISI: 000465774303047ISBN: 978-1-5386-4727-1 (electronic)OAI: oai:DiVA.org:uu-386380DiVA, id: diva2:1328327
Conference
IEEE Global Communications Conference (GLOBECOM), DEC 09-13, 2018, Abu Dhabi, U ARAB EMIRATES
Available from: 2019-06-20 Created: 2019-06-20 Last updated: 2019-06-20Bibliographically approved

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