Channel Estimation with Asynchronous Reception for User-Centric Cell-Free MIMO Systems

The user-centric, cell-free wireless network is a promising next-generation communication system, but signal synchronization issues arise due to distributed access points and lack of cellular structure. We propose a novel method to recover synchronous pilot reception by introducing new pilot sequences and a matched filter window, enabling orthogonality even with asynchronous reception. Our approach mimics synchronous transmission by extending training sequences. Analysis shows asynchronous reception’s impact on channel estimation, and our method significantly improves performance with a small increase of training time overhead. Results demonstrate a 7.26 dB reduction in normalized mean square error and 40% increase in data rate, achieving performance levels comparable to the synchronous case.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/iccworkshops67674.2025.11162195
Primary Topic
Advanced MIMO Systems Optimization
Type
article
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article

Channel Estimation with Asynchronous Reception for User-Centric Cell-Free MIMO Systems

Hussein A. Ammar, Gary Boudreau, Israfil Bahceci, Raviraj Adve et al.
Advanced MIMO Systems Optimization
article

Channel Estimation with Asynchronous Reception for User-Centric Cell-Free MIMO Systems

Hussein A. Ammar, Gary Boudreau, Israfil Bahceci, Raviraj Adve, Alfred Xuyang Sun
article en

Abstract

The user-centric, cell-free wireless network is a promising next-generation communication system, but signal synchronization issues arise due to distributed access points and lack of cellular structure. We propose a novel method to recover synchronous pilot reception by introducing new pilot sequences and a matched filter window, enabling orthogonality even with asynchronous reception. Our approach mimics synchronous transmission by extending training sequences. Analysis shows asynchronous reception’s impact on channel estimation, and our method significantly improves performance with a small increase of training time overhead. Results demonstrate a 7.26 dB reduction in normalized mean square error and 40% increase in data rate, achieving performance levels comparable to the synchronous case.

University of Toronto (CA), Ericsson (Canada) (CA), Royal Military College of Canada (CA)
Openalex Percentile: Top 75%
Advanced MIMO Systems Optimization
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