Joint communications and sensing design for multi-carrier MIMO systems |
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Author: | Nguyen, Nhan Thanh1; Shlezinger, Nir2; Ngo, Khac-Hoang3; |
Organizations: |
1Centre for Wireless Communications, University of Oulu, P.O.Box 4500, FI-90014, Finland 2School of ECE, Ben-Gurion University of the Negev, Beer-Sheva, Israel 3Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
4College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam
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Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.5 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe20231030141814 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2023
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Publish Date: | 2023-10-30 |
Description: |
AbstractIn conventional joint communications and sensing (JCAS) designs for multi-carrier multiple-input multiple-output (MIMO) systems, the dual-functional waveforms are often optimized for the whole frequency band, resulting in limited communications–sensing performance tradeoff. To overcome the limitation, we propose employing a subset of subcarriers for JCAS, while the communications function is performed over all the subcarriers. This offers more degrees of freedom to enhance the communications performance under a given sensing accuracy. We first formulate the rate maximization under the sensing accuracy constraint to optimize the beamformers and JCAS subcarriers. The problem is solved via Riemannian manifold optimization and closed-form solutions. Numerical results for an 8 × 4 MIMO system with 64 subcarriers show that compared to the conventional subcarrier sharing scheme, the proposed scheme employing 16 JCAS subcarriers offers 60% improvement in the achievable communications rate at the signal-to-noise ratio of 10 dB. Meanwhile, this scheme generates the sensing beampattern with the same quality as the conventional JCAS design. see all
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Series: |
IEEE Statistical Signal Processing Workshop |
ISSN: | 2373-0803 |
ISSN-E: | 2693-3551 |
ISSN-L: | 2373-0803 |
ISBN: | 978-1-6654-5245-8 |
ISBN Print: | 978-1-6654-5246-5 |
Pages: | 110 - 114 |
DOI: | 10.1109/SSP53291.2023.10207952 |
OADOI: | https://oadoi.org/10.1109/SSP53291.2023.10207952 |
Host publication: |
2023 IEEE Statistical Signal Processing Workshop (SSP) |
Conference: |
IEEE Statistical Signal Processing Workshop |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Copyright information: |
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