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http://bura.brunel.ac.uk/handle/2438/29161
Title: | Joint Radar-Communication Beamforming Considering Both Transceiver Hardware Impairments and Imperfect CSI |
Authors: | Dai, J Ye, J Wang, K Pan, C Fan, H |
Keywords: | integrated sensing and communication;Cramér-Rao Bound;hardware impairments;imperfect channel state information (CSI) |
Issue Date: | 30-Apr-2024 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Citation: | Dai, J. et al. (2024) 'Joint Radar-Communication Beamforming Considering Both Transceiver Hardware Impairments and Imperfect CSI', IEEE Wireless Communications Letters, 0 (early access), pp. 1 - 5. doi: 10.1109/LWC.2024.3395503. |
Abstract: | This paper studies multi-user multi-input multi-output (MU-MIMO) beamforming designs under different channel uncertainties for integrated sensing and communication (ISAC) system with hardware impairments. The Cramér-Rao Bound (CRB) of radar sensing is minimized by considering the energy and the signal-to-noise-plus-interference ratio (SINR) requirements of Internet of Things Devices (IoTDs). Specifically, we first reformulate the CRB by using the Schur complement theorem. To handle the non-convex constraints, we employ the S-procedure and the Bernstein-type inequality for approximation. Subsequently, we adopt the Gaussian randomization algorithm to seek the rank-one optimums. Numerical results indicate that the proposed transmission designs are more robust in the presence of both hardware impairments and imperfect CSI. |
URI: | https://bura.brunel.ac.uk/handle/2438/29161 |
DOI: | https://doi.org/10.1109/LWC.2024.3395503 |
ISSN: | 2162-2337 |
Other Identifiers: | ORCiD: Jianxin Dai https://orcid.org/0000-0001-5735-4000 ORCiD: Jianglin Ye https://orcid.org/0009-0009-4990-8814 ORCiD: Kezhi Wang https://orcid.org/0000-0001-8602-0800 ORCiD: Cunhua Pan https://orcid.org/0000-0001-5286-7958 |
Appears in Collections: | Dept of Computer Science Research Papers |
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