Preprint
Distortion-Aware Hybrid Beamforming for Integrated Sensing and Communication
arXiv , Vol.18 July 2025
Cornell University
2025
Abstract
This paper investigates a practical partially-connected hybrid beamforming transmitter for integrated sensing and communication (ISAC) with distortion from nonlinear power amplification. For this ISAC system, we formulate a communication rate and sensing mutual information maximization problem driven by our distortion-aware hybrid beamforming design. To address this non-convex problem, we first solve for a fully digital beamforming matrix by alternatively solving three sub-problems using manifold optimization (MO) and our derived closed-form solutions. The analog and digital beamforming matrices are then obtained through a decomposition algorithm. Numerical results demonstrate that the proposed algorithm can improve overall ISAC performance compared to traditional beamforming methods.
Details
- Title
- Distortion-Aware Hybrid Beamforming for Integrated Sensing and Communication
- Authors
- Zeyuan Zhang - University of Electronic Science and Technology of ChinaYue Xiu - University of Electronic Science and Technology of ChinaPhee Lep Yeoh - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringGuangyi LiuZixing Wu - University of Electronic Science and Technology of ChinaNing Wei - University of Electronic Science and Technology of China
- Publication details
- arXiv , Vol.18 July 2025
- Publisher
- Cornell University
- Date published
- 2025
- DOI
- 10.48550/arxiv.2507.14018
- ISSN
- 2331-8422
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991155037902621
- Output Type
- Preprint
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