Transforming Time-Varying to Static Channels: The Power of Fluid Antenna Mobility

TL;DR

This paper introduces a novel fluid antenna-based method to transform time-varying wireless channels into static ones by predicting and sliding the antenna ports, significantly improving channel stability during high mobility.

Contribution

It proposes a matrix pencil-based moving port prediction method and a port selection technique, transforming channel prediction into port prediction using fluid antenna mobility, with theoretical and simulation validation.

Findings

Prediction error converges to zero for LoS channels with sufficient antennas and port density.

Upper and lower bounds of prediction error are derived for multi-path channels.

The method outperforms existing channel prediction techniques at high user mobility speeds.

Abstract

This paper addresses the mobility problem with the assistance of fluid antenna (FA) on the user equipment (UE) side. We propose a matrix pencil-based moving port (MPMP) prediction method, which may transform the time-varying channel to a static channel by timely sliding the liquid. Different from the existing channel prediction method, we design a moving port selection method, which is the first attempt to transform the channel prediction to the port prediction by exploiting the movability of FA. Theoretical analysis shows that for the line-ofsight (LoS) channel, the prediction error of our proposed MPMP method may converge to zero, as the number of BS antennas and the port density of the FA are large enough. For a multi-path channel, we also derive the upper and lower bounds of the prediction error when the number of paths is large enough. When the UEs move at a speed of 60 or 120 km/h, simulation results show that, with the assistance of FA, our proposed MPMP method performs better than the existing channel prediction method.