Resource allocation for energy-efficient NOMA network based on super-modular game

Ruisong Wang, Gongliang Liu, Haijun Zhang, Wenjing Kang, Theodoros Tsiftsis, Victor C.M. Leung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, we consider a single cell downlink non-orthogonal multiple access (NOMA) network and aim at maximizing the energy efficiency. The energy-efficient resource allocation problem is formulated as a non-convex and NP-hard problem. To decrease the computation complexity, we decouple the optimization problem as subchannel matching scheme and power allocation subproblems. We introduce a super-modular game and then design an algorithm to converge to the Nash equilibrium (NE) point. Then, a greedy subchannel matching algorithm with low complexity is given through a two-way choice between users and subchannels. However, for given subchannel matching scheme, power allocation is still a non- convex problem. We then transform the non-convex problem to a convex problem by applying a successive convex approximation method. Afterwards we provide an algorithm to converge to suboptimal solution by solving a convex problem iteratively. Finally, simulation result demonstrates that the energy efficiency performance of NOMA system is better than orthogonal frequency division multiple access (OFDMA) system.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538643280
DOIs
Publication statusPublished - Jul 3 2018
Event2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Kansas City, United States
Duration: May 20 2018May 24 2018

Other

Other2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018
CountryUnited States
CityKansas City
Period5/20/185/24/18

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

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