Adaptive Resource Allocation Based on Factor Graphs in Non-Orthogonal Multiple Access

Taichi Yamagami, Satoshi Denno, Yafei Hou

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we propose a non-orthogonal multiple access with adaptive resource allocation. The proposed non-orthogonal multiple access assigns multiple frequency resources for each device to send packets. Even if the number of devices is more than that of the available frequency resources, the proposed non-orthogonal access allows all the devices to transmit their packets simultaneously for high capacity massive machine-type communications (mMTC). Furthermore, this paper proposes adaptive resource allocation algorithms based on factor graphs that adaptively allocate the frequency resources to the devices for improvement of the transmission performances. This paper proposes two allocation algorithms for the proposed non-orthogonal multiple access. This paper shows that the proposed non-orthogonal multiple access achieves superior transmission performance when the number of the devices is 50% greater than the amount of the resource, i.e., the overloading ratio of 1.5, even without the adaptive resource allocation.

Original languageEnglish
Pages (from-to)1258-1267
Number of pages10
JournalIEICE Transactions on Communications
VolumeE105B
Issue number10
DOIs
Publication statusPublished - Oct 2022

Keywords

  • factor graphs
  • log-likelihood ratio
  • message passing algorithm
  • non-orthogonal multiple access

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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