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 language | English |
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Title of host publication | 2024 IEEE Radar Conference (RadarConf24): Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 6 |
ISBN (Electronic) | 9798350329209 |
ISBN (Print) | 9798350329216 |
DOIs | |
Publication status | Published - 26 Feb 2024 |
Event | 2024 IEEE Radar Conference, RadarConf 2024 - Denver, United States Duration: 06 May 2024 → 10 May 2024 |
Publication series
Name | Proceedings of the IEEE Radar Conference |
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ISSN (Print) | 1097-5764 |
ISSN (Electronic) | 2375-5318 |
Conference
Conference | 2024 IEEE Radar Conference, RadarConf 2024 |
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Country/Territory | United States |
City | Denver |
Period | 06/05/2024 → 10/05/2024 |
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