Please use this identifier to cite or link to this item: 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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