Resource Allocation in Massive Non-Orthogonal Multiple Access System

Wen Zhang*, Jie Zeng, Zhong Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the popularity of large-scale communication scenarios, massive multiple access technology has attracted academic attention. In this paper, a resource allocation problem in massive Non-Orthogonal Multiple Access (NOMA) network is studied. The optimization goal is the energy efficiency (EE) of the system. The resource allocation problem includes two parts: subcarrier allocation and power allocation. Firstly, a many-to-one matching algorithm is proposed to assign subcarriers. Then, a power allocation algorithm is designed to optimize the objective function using successive convex approximation. Further, an iterative algorithm for power allocation is studied and the suboptimal solution of the function is obtained. Simulation results show that the proposed resource allocation scheme can effectively improve the EE of the system.

Original languageEnglish
Title of host publicationCommunications and Networking - 16th EAI International Conference, ChinaCom 2021, Proceedings
EditorsHonghao Gao, Jun Wun, Jianwei Yin, Feifei Shen, Yulong Shen, Jun Yu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages209-219
Number of pages11
ISBN (Print)9783030991999
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event16th EAI International Conference on Communications and Networking in China, ChinaCom 2021 - Virtual, Online
Duration: 21 Nov 202122 Nov 2021

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume433 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference16th EAI International Conference on Communications and Networking in China, ChinaCom 2021
CityVirtual, Online
Period21/11/2122/11/21

Keywords

  • Energy efficiency
  • Massive NOMA
  • Resource allocation

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