Massive MIMO joint communications and sensing with MRT beamforming

Nhan T. Nguyen*, V. Dinh Nguyen, Hieu V. Nguyen, Hien Q. Ngo, A. L. Swindlehurst, Markku Juntti*

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Joint communications and sensing (JCAS) is en-visioned as a key feature in future wireless communications networks. In massive MIMO-JCAS systems, the very large number of antennas causes excessively high computational complexity in beamforming designs. In this work, we investigate a low-complexity massive multiple-input-multiple-output (MIMO)-JCAS system employing the maximum-ratio transmission (MRT) scheme for both communications and sensing. We first derive closed-form expressions for the achievable communications rate and Cramer-Rao bound (CRB) as functions of the large-scale fading channel coefficients. Then, we develop a power allocation strategy based on successive convex approximation to maximize the communications sum rate while guaranteeing the CRB con-straint and transmit power budget. Our analysis shows that the introduction of sensing functionality increases the beamforming uncertainty and inter-user interference on the communications side. However, these factors can be mitigated by deploying a very large number of antennas. The numerical results verify our findings and demonstrate the power allocation efficiency.

Original languageEnglish
Title of host publication2024 IEEE Radar Conference (RadarConf24): Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9798350329209
ISBN (Print)9798350329216
DOIs
Publication statusPublished - 26 Feb 2024
Event2024 IEEE Radar Conference, RadarConf 2024 - Denver, United States
Duration: 06 May 202410 May 2024

Publication series

NameProceedings of the IEEE Radar Conference
ISSN (Print)1097-5764
ISSN (Electronic)2375-5318

Conference

Conference2024 IEEE Radar Conference, RadarConf 2024
Country/TerritoryUnited States
CityDenver
Period06/05/202410/05/2024

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Joint communications and sensing (JCAS)
  • massive MIMO
  • maximum-ratio transmission

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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