Communication in a Fractional World: MIMO MC-OTFS Precoder Prediction

TL;DR

This paper proposes a physics-informed prediction framework for MIMO OTFS precoding that enhances high-mobility wireless communication by effectively utilizing outdated CSI in fractional delay-Doppler channels.

Contribution

It introduces a novel prediction method based on a complex exponential basis expansion model for MIMO OTFS systems in high-mobility scenarios.

Findings

Improves precoding accuracy in high-mobility environments

Effectively utilizes outdated CSI for better MIMO performance

Enhances stability of communication under fractional delay-Doppler channels

Abstract

As 6G technologies advance, international bodies and regulatory agencies are intensifying efforts to extend seamless connectivity especially for high-mobility scenarios such as Mobile Ad-Hoc Networks (\textit{MANETs}) types such as Vehicular Ad-Hoc Networks (\textit{VANETs}) and Flying Ad-Hoc Networks (\textit{FANETs}). For these environments to be considered for long term adoption and use they must support Multiple-Input-Multiple- (MIMO) technology, rapidly fluctuating channel conditions in these environments place a heavy burden on traditional time-frequency CSI feedback schemes required for MIMO precoding. This motivates a shift toward delay-Doppler representations like those employed by Orthogonal Time-Frequency Space(OTFS) modulation, which offers greater stability under mobility. We derive an expression for the variation over time in the OTFS I/O relationship. We then use this to create a physics informed complex exponential basis expansion model prediction framework that maximizes the usefulness of outdated Channel State Information (CSI) in the presence of integer and fractional delay-Doppler channels and facilitates high mobility MIMO communication.