Integrated Sensing and Communication-assisted Orthogonal Time Frequency Space Transmission for Vehicular Networks

TL;DR

This paper proposes an integrated sensing and communication (ISAC) approach using OTFS modulation for vehicular networks, enabling simultaneous data transmission and vehicle sensing, which improves efficiency and reduces channel estimation overhead.

Contribution

It introduces a novel ISAC-assisted OTFS transmission scheme that combines vehicle sensing and communication, allowing for dynamic network topology construction and optimized beamforming without extensive channel training.

Findings

Enhanced vehicle state prediction accuracy

Reduced uplink channel estimation overhead

Improved data detection performance

Abstract

Orthogonal time frequency space (OTFS) modulation is a promising candidate for supporting reliable information transmission in high-mobility vehicular networks. In this paper, we consider the employment of the integrated (radar) sensing and communication (ISAC) technique for assisting OTFS transmission in both uplink and downlink vehicular communication systems. Benefiting from the OTFS-ISAC signals, the roadside unit (RSU) is capable of simultaneously transmitting downlink information to the vehicles and estimating the sensing parameters of vehicles, e.g., locations and speeds, based on the reflected echoes. Then, relying on the estimated kinematic parameters of vehicles, the RSU can construct the topology of the vehicular network that enables the prediction of the vehicle states in the following time instant. Consequently, the RSU can effectively formulate the transmit downlink beamformers according to the predicted parameters to counteract the channel adversity such that the vehicles can directly detect the information without the need of performing channel estimation. As for the uplink transmission, the RSU can infer the delays and Dopplers associated with different channel paths based on the aforementioned dynamic topology of the vehicular network. Thus, inserting guard space as in conventional methods are not needed for uplink channel estimation which removes the required training overhead. Finally, an efficient uplink detector is proposed by taking into account the channel estimation uncertainty. Through numerical simulations, we demonstrate the benefits of the proposed ISAC-assisted OTFS transmission scheme.