Enhanced Channel Estimation in mm-Wave MIMO Systems Leveraging Integrated Communication and Sensing

TL;DR

This paper introduces a novel channel estimation method for indoor mm-wave MIMO systems that leverages integrated sensing to reduce pilot requirements by four times, improving efficiency in wideband scenarios.

Contribution

It proposes a new approach combining spatial and temporal sensing modes with mismatch correction, significantly enhancing channel estimation in mm-wave MIMO systems.

Findings

Requires 4x fewer pilots than existing methods

Effective in correcting sensing and communication mode mismatches

Demonstrates substantial efficiency improvements through simulations

Abstract

This paper tackles the challenge of wideband MIMO channel estimation within indoor millimeter-wave scenarios. Our proposed approach exploits the integrated sensing and communication paradigm, where sensing information aids in channel estimation. The key innovation consists of employing both spatial and temporal sensing modes to significantly reduce the number of required training pilots. Moreover, our algorithm addresses and corrects potential mismatches between sensing and communication modes, which can arise from differing sensing and communication propagation paths. Extensive simulations demonstrate that the proposed method requires 4x less pilots compared to the current state-of-the-art, marking a substantial advancement in channel estimation efficiency.