Evolutionary Game Approach to Uplink NOMA Random Access Systems

Jun Bae Seo, Taesoo Kwon, Jinho Choi

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

This letter considers non-orthogonal multiple access (NOMA) as an uplink random access (RA) scheme. User equipments (UEs) in this RA system (re)transmit with some probability by selecting one of the target receive power levels. The packets received at the base station (BS) can be ordered with predetermined target power levels such that the BS can decode them using successive interference cancellation (SIC). We characterize this NOMA RA system using evolutionary game (EG) to show that the proportion of UEs of adopting a specific target power level upon retransmission is identified as evolutionary stable state (ESS).

Original languageEnglish
Article number8665884
Pages (from-to)930-933
Number of pages4
JournalIEEE Communications Letters
Volume23
Issue number5
DOIs
StatePublished - May 2019

Keywords

  • evolutionary game
  • random access
  • Uplink NOMA

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