{"ID":2893155,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.14018","arxiv_id":"2507.14018","title":"Distortion-Aware Hybrid Beamforming for Integrated Sensing and Communication","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.","short_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-...","url_abs":"https://arxiv.org/abs/2507.14018","url_pdf":"https://arxiv.org/pdf/2507.14018v1","authors":"[\"Zeyuan Zhang\",\"Yue Xiu\",\"Phee Lep Yeoh\",\"Guangyi Liu\",\"Zixing Wu\",\"Ning Wei\"]","published":"2025-07-18T15:33:46Z","proceeding":"eess.SP","tasks":"[\"eess.SP\"]","methods":"[]","has_code":false}