Enhanced Channel Estimation in mm-Wave MIMO Systems Leveraging Integrated Communication and Sensing
Silvia Mura, Marouan Mizmizi, Umberto Spagnolini, and Athina Petropulu

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.
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Indoor and Outdoor Localization Technologies · Speech and Audio Processing
