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

TL;DR

This paper introduces a joint parameter association, channel estimation, and signal detection scheme for sensing-aided uplink transmission in OTFS-based ISAC vehicular networks, improving performance by leveraging sensing parameters.

Contribution

It proposes a novel joint bilinear recovery framework and a message passing algorithm for enhanced uplink communication in ISAC systems using OTFS.

Findings

Performance bounds are closely approached by the proposed scheme.

Numerical results validate the effectiveness of the joint approach.

The method improves uplink transmission reliability in vehicular ISAC networks.

Abstract

In this work, we study sensing-aided uplink transmission in an integrated sensing and communication (ISAC) vehicular network with the use of orthogonal time frequency space (OTFS) modulation. To exploit sensing parameters for improving uplink communications, the parameters must be first associated with the transmitters, which is a challenging task. We propose a scheme that jointly conducts parameter association, channel estimation and signal detection by formulating it as a constrained bilinear recovery problem. Then we develop a message passing algorithm to solve the problem, leveraging the bilinear unitary approximate message passing (Bi-UAMP) algorithm. Numerical results validate the proposed scheme, which show that relevant performance bounds can be closely approached.