Joint Channel and Symbol Estimation for Communication Systems with Movable Antennas

TL;DR

This paper proposes a semi-blind tensor decomposition method for joint channel and symbol estimation in uplink multi-user systems with movable antennas, showing promising simulation results.

Contribution

It introduces a novel semi-blind receiver based on PARAFAC2 tensor model for joint estimation leveraging movable antennas, advancing beyond pilot-assisted methods.

Findings

Remarkable numerical simulation results

Effective joint estimation of channel and symbols

Utilizes tensor decomposition for improved accuracy

Abstract

Communication systems aided by movable antennas have been the subject of recent research due to their potentially increased spatial degrees of freedom offered by optimizing the antenna positioning at the transmitter and/or receiver. In this context, a topic that deserves attention is channel estimation. Conventional methods reported recently rely on pilot-assisted strategies to estimate the channel coefficients. In this work, we address the joint channel and symbol estimation problem for an uplink multi-user communication system, where the base station is equipped with a movable antenna array. A semi-blind receiver based on the PARAFAC2 model is formulated to exploit the tensor decomposition structure for the received signals, from which channel and symbol estimates can be jointly obtained via an alternating estimation algorithm. Compared with reference schemes, our preliminary numerical simulations yield remarkable results for the proposed method.