Competitive cell association and antenna allocation in 5G massive MIMO networks

Dusit Niyato, Fumiyuki Adachi, Ping Wang, Dong In Kim

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

10 Citations (Scopus)

Abstract

Massive MIMO will be one of the technologies adopted in 5G cellular networks due to its ability to enhance transmission performance. However, resource management issues remain unsolved, especially with quality of service (QoS) requirements from users. This paper focuses on cell association and antenna allocation problems in such networks. We analyze the competitive situations where users in different classes with different QoS (i.e., data rate) requirement can choose to associate with any cell rationally and independently. Likewise, access points can allocate their antennas to different users. The users and access points are self-interested to maximize their own benefits in terms of data rate and total revenue, respectively. We formulate a hierarchical evolutionary game framework which is composed of the games for cell association and antenna allocation. We apply both deterministic and stochastic approaches to obtain the equilibrium solutions of the game.

Original languageEnglish
Title of host publicationIEEE International Conference on Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3867-3872
Number of pages6
Volume2015-September
ISBN (Print)9781467364324
DOIs
Publication statusPublished - 2015 Sep 9
EventIEEE International Conference on Communications, ICC 2015 - London, United Kingdom
Duration: 2015 Jun 82015 Jun 12

Other

OtherIEEE International Conference on Communications, ICC 2015
CountryUnited Kingdom
CityLondon
Period15/6/815/6/12

Keywords

  • antenna allocation
  • Cell association
  • evolutionary game

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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