uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Load Coupling and Energy Optimization in Multi-Cell and Multi-Carrier NOMA Networks
Univ Luxembourg, Interdisciplinary Ctr Secur Reliabil & Trust, L-1855 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
Fraunhofer ITWM, Competence Ctr High Performance Comp, D-69663 Kaiserslautern, Germany.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
Show others and affiliations
2019 (English)In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 68, no 11, p. 11323-11337Article in journal (Refereed) Published
Abstract [en]

In this paper, we investigate energy optimization in multi-cell and multi-carrier non-orthogonal multiple access (NOMA) networks. We apply a load-coupling model for NOMA networks to capture the coupling relation of mutual interference among cells. With this analytical tool, we formulate an energy minimization problem in a NOMA-based load-coupled system, where optimizing load-rate-power allocation, and determining decoding order and user grouping are the key aspects. Theoretically, we prove that the minimum consumed energy can be achieved by using all the time-frequency resources in each cell to deliver users' demand, and allowing all the users to share resource units. From a practical perspective, we consider three types of NOMA grouping schemes, i.e., all-user grouping, partitioned and non-partitioned grouping. We develop tailored solutions for each grouping scheme to enable efficient load-rate-power optimization. These three algorithmic components are embedded into a power-adjustment framework to provide energy-efficient solutions for NOMA networks. Numerical results demonstrate promising energy-saving gains of NOMA over orthogonal multiple access in large-scale cellular networks, in particular for high-demand and resource-limited scenarios. The results also show fast convergence of the proposed algorithms and demonstrate the effectiveness of the solutions.

Place, publisher, year, edition, pages
2019. Vol. 68, no 11, p. 11323-11337
Keywords [en]
Non-orthogonal multiple access (NOMA), load coupling, resource allocation, energy minimization
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:uu:diva-400757DOI: 10.1109/TVT.2019.2943701ISI: 000501358800079OAI: oai:DiVA.org:uu-400757DiVA, id: diva2:1382514
Funder
Swedish Research CouncilAvailable from: 2020-01-03 Created: 2020-01-03 Last updated: 2020-01-03Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

You, LeiYuan, Di

Search in DiVA

By author/editor
You, LeiYuan, DiChatzinotas, Symeon
By organisation
Computing Science
In the same journal
IEEE Transactions on Vehicular Technology
Communication Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 5 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf