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In this work, we study sensing-aided uplink transmission in an integratedsensing and communication (ISAC) vehicular network with the use of orthogonaltime frequency space (OTFS) modulation. To exploit sensing parameters forimproving uplink communications, the parameters must be first associated withthe transmitters, which is a challenging task. We propose a scheme that jointlyconducts parameter association, channel estimation and signal detection byformulating it as a constrained bilinear recovery problem. Then we develop amessage passing algorithm to solve the problem, leveraging the bilinear unitaryapproximate message passing (Bi-UAMP) algorithm. Numerical results validate theproposed scheme, which show that relevant performance bounds can be closelyapproached.

Sensing Aided Uplink Transmission in OTFS ISAC with Joint Parameter Association, Channel Estimation and Signal Detection