Distortion-Aware Hybrid Beamforming for Integrated Sensing and Communication
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Jul 2025.
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Citing papers per year: 2026: 5.
5 papers.
- 2026GAC-KAN: An Ultra-Lightweight GNSS Interference Classifier for GenAI-Powered Consumer Edge Devicescited by 5
- 2026SKANet: A Cognitive Dual-Stream Framework with Adaptive Modality Fusion for Robust Compound GNSS Interference Classificationcited by 4
- 2026PhyG-MoE: A Physics-Guided Mixture-of-Experts Framework for Energy-Efficient GNSS Interference Recognitioncited by 4
- 2026JSR-GFNet: Jamming-to-Signal Ratio-Aware Dynamic Gating for Interference Classification in future Cognitive Global Navigation Satellite Systemscited by 4
- 2026Sparse Gain Radio Map Reconstruction With Geometry Priors and Uncertainty-Guided Measurement Selectioncited by 3
- 2026Sparse Gain Radio Map Reconstruction With Geometry Priors and Uncertainty-Guided Measurement Selection7 Apr 2026
- 2026GAC-KAN: An Ultra-Lightweight GNSS Interference Classifier for GenAI-Powered Consumer Edge Devices30 Jan 2026
- 2026JSR-GFNet: Jamming-to-Signal Ratio-Aware Dynamic Gating for Interference Classification in future Cognitive Global Navigation Satellite Systems19 Jan 2026
- 2026PhyG-MoE: A Physics-Guided Mixture-of-Experts Framework for Energy-Efficient GNSS Interference Recognition19 Jan 2026
- 2026SKANet: A Cognitive Dual-Stream Framework with Adaptive Modality Fusion for Robust Compound GNSS Interference Classification19 Jan 2026