Waveform Design for Multi-Carrier Multiuser MIMO Joint Communications and Sensing
Hatami, Mohammad; Nguyen, Nhan; Juntti, Markku (2024-10-07)
IEEE
07.10.2024
M. Hatami, N. Nguyen and M. Juntti, "Waveform Design for Multi-Carrier Multiuser MIMO Joint Communications and Sensing," 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Lucca, Italy, 2024, pp. 346-350, doi: 10.1109/SPAWC60668.2024.10694180.
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© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202410186389
https://urn.fi/URN:NBN:fi:oulu-202410186389
Tiivistelmä
Abstract
We consider a joint communications and sensing (JCAS) system that operates as a monostatic MIMO radar while simultaneously providing downlink communications service to multiple single-antenna users. We address the joint optimization of transmit waveform design and subcarrier allocation. Specifically, we focus on maximizing the minimum radar signal-to-interference-plus-noise ratio (SINR) while ensuring communications SINR and power constraints. To tackle this challenging problem, we decompose it into two subproblems by using alternating optimization. Subsequently, we employ a successive convex approximation (SCA) algorithm to find an effective solution for the resulting nonconvex waveform design problem. The numerical results indicate that the proposed method converges and show the tradeoff between radar and communications performances.
We consider a joint communications and sensing (JCAS) system that operates as a monostatic MIMO radar while simultaneously providing downlink communications service to multiple single-antenna users. We address the joint optimization of transmit waveform design and subcarrier allocation. Specifically, we focus on maximizing the minimum radar signal-to-interference-plus-noise ratio (SINR) while ensuring communications SINR and power constraints. To tackle this challenging problem, we decompose it into two subproblems by using alternating optimization. Subsequently, we employ a successive convex approximation (SCA) algorithm to find an effective solution for the resulting nonconvex waveform design problem. The numerical results indicate that the proposed method converges and show the tradeoff between radar and communications performances.
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