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Target Detection for OTFS-Aided Cell-Free MIMO ISAC System
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This letter focuses on enhancing target detection performance for a multi-user integrated sensing and communication (ISAC) system using orthogonal time frequency space (OTFS)-aided cell-free multiple-input multiple-output (MIMO) technology in high-speed vehicular environments. We propose a sensing-centric (SC) approach for target detection using communication signals with or without sensing signals. Power allocation is optimized to maximize the sensing signal-to-noise ratio (SNR) of the proposed SC scheme while ensuring a required quality-of-service (QoS) for the communication user equipment (UEs), and adhering to each access points (APs) power budget. Numerical results show that the proposed SC scheme vastly outperforms a communication-centric method that minimizes the total power consumed at the APs subject to the same constraints.
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Cited by 1 Pith paper
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Detecting Unauthorized Drones with Cell-Free Integrated Sensing and Communication
Cell-free massive MIMO can jointly support communication and drone detection, with an adaptive weighting algorithm that cuts the age of sensing by 45 percent versus fixed weights.
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