Optimal Beamforming for Optical Wireless Integrated Sensing and Communication Based on Optical Phased Array

Optical wireless integrated sensing and communication (OW-ISAC) is emerging as a crucial technology to complement and augment its radio-frequency counterpart. In this paper, we propose an optical phased array (OPA)-based OW-ISAC framework to serve multiple communication user equipments and conduct sensing for the direction of interest simultaneously. The system model for OPA-based OW-ISAC is introduced, where the optical beamforming process, atmospheric channel, and operational principles of communication and sensing subsystems are elaborated. In addition, the signal-to-interference-plus-noise ratio and integrated sidelobe ratio are derived as the performance metrics to evaluate OW-ISAC. Subsequently, an optimization problem for beamforming is formulated and resolved, which optimizes the sensing performance metric under the constraint of communication quality. Finally, numerical results substantiate the effectiveness of the proposed OPA-based OW-ISAC framework, while the tradeoff between communication and sensing performance metrics is also revealed.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/icc52391.2025.11160979
Primary Topic
Muscle Physiology and Disorders
Type
article
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article

Optimal Beamforming for Optical Wireless Integrated Sensing and Communication Based on Optical Phased Array

Muscle Physiology and Disorders
article

Optimal Beamforming for Optical Wireless Integrated Sensing and Communication Based on Optical Phased Array

article en

Abstract

Optical wireless integrated sensing and communication (OW-ISAC) is emerging as a crucial technology to complement and augment its radio-frequency counterpart. In this paper, we propose an optical phased array (OPA)-based OW-ISAC framework to serve multiple communication user equipments and conduct sensing for the direction of interest simultaneously. The system model for OPA-based OW-ISAC is introduced, where the optical beamforming process, atmospheric channel, and operational principles of communication and sensing subsystems are elaborated. In addition, the signal-to-interference-plus-noise ratio and integrated sidelobe ratio are derived as the performance metrics to evaluate OW-ISAC. Subsequently, an optimization problem for beamforming is formulated and resolved, which optimizes the sensing performance metric under the constraint of communication quality. Finally, numerical results substantiate the effectiveness of the proposed OPA-based OW-ISAC framework, while the tradeoff between communication and sensing performance metrics is also revealed.

University of Houston (US), Tsinghua University (CN)
Affordable and clean energy
Openalex Percentile: Top 49%
Muscle Physiology and Disorders
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