Joint Transmit Beamforming and Antenna Selection Design for MISO-NOMA Systems Based on Improper Gaussian Signaling

Hao Tse Chiu, Fumiaki Maehara

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

Abstract

In this paper, we consider the joint antenna selection (AS) and beamforming (BF) vector design problem for a downlink two-user power-domain non-orthogonal multiple access (PD-NOMA) system considering improper Gaussian signaling (IGS). We formulate an optimization problem concerned about the max-min rate between users with hardware constraints such as the total power constraint (TPC), per-antenna power constraint (PAPC), and the number of activated antennas along with the conditions for successful successive interference cancellation (SIC) that are proved in existing works. To deal with the log-determinant objective function and binary optimization, we propose a solution that combines successive concave quadratic programming (SCQP) and the exact penalty approach to obtain suboptimal results by iterations. As shown in simulation results, IGS can prevail over its proper Gaussian signaling (PGS) counterpart in terms of achievable sum rate (ASR) particularly in high transmit signal-to-noise ratio (SNR) scenarios.

Original languageEnglish
Title of host publication2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665413688
DOIs
Publication statusPublished - 2021
Event94th IEEE Vehicular Technology Conference, VTC 2021-Fall - Virtual, Online, United States
Duration: 2021 Sep 272021 Sep 30

Publication series

NameIEEE Vehicular Technology Conference
Volume2021-September
ISSN (Print)1550-2252

Conference

Conference94th IEEE Vehicular Technology Conference, VTC 2021-Fall
Country/TerritoryUnited States
CityVirtual, Online
Period21/9/2721/9/30

Keywords

  • MISO-NOMA
  • antenna selection
  • beamforming design
  • improper Gaussian signaling
  • max-min rate optimization

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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