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Performance Analysis for Beamspace MIMO-NOMA System

  • Harbin Institute of Technology

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

Abstract

At present, the research about beamspace MIMO-NOMA system focus more on mathematical model. It is difficult to utilize this model in practice. To solve this problem, we decompose this system into four parts, that is beam selection, clustering, power allocation and precoding. Next we discuss the impact of beam selection and clustering on spectral efficiency (SE) and energy efficiency (EE) with a specified power allocation and precoding algorithm. The simulation result show that no scheme of system can outperform others in SE and EE in any environment.

Original languageEnglish
Title of host publicationCommunications, Signal Processing, and Systems - Proceedings of the 8th International Conference on Communications, Signal Processing, and Systems, CSPS 2019
EditorsQilian Liang, Wei Wang, Xin Liu, Zhenyu Na, Min Jia, Baoju Zhang
PublisherSpringer
Pages1773-1781
Number of pages9
ISBN (Print)9789811394089
DOIs
StatePublished - 2020
Event8th International Conference on Communications, Signal Processing, and Systems, CSPS 2019 - Urumqi, China
Duration: 20 Jul 201922 Jul 2019

Publication series

NameLecture Notes in Electrical Engineering
Volume571 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference8th International Conference on Communications, Signal Processing, and Systems, CSPS 2019
Country/TerritoryChina
CityUrumqi
Period20/07/1922/07/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Beam selection
  • Beamspace
  • Clustering
  • MIMO-NOMA

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