Downlink Pilots in Cell-Free Massive MIMO Networks: A Boon or a Bane for URLLC?

Cell-free massive MIMO (CF-mMIMO) networks are a key enabler for beyond-5G and 6G systems, addressing the demands of ultra-reliable low-latency communication (URLLC). Supporting URLLC, characterized by short packets under strict latency and reliability constraints, poses challenges for CF-mMIMO. This paper extends finite-blocklength theory from cellular MIMO to scalable user-centric (UC) CF-mMIMO, exploring various downlink detection/decoding strategies. Random coding union bounds are derived to evaluate block error rates (BLER) for hardening-bound-based, pilot-based, and blind-based channel state information methods with centralized and distributed precoding, including distributed conjugate beamforming, local partial MMSE, and centralized improved partial MMSE. Our findings reveal that, in the short blocklength regime characteristic of URLLC scenarios, conventional blind CSI acquisition methods, as well as DL pilot-based strategies, underperform. To address this issue, an innovative MMSE-aided blind CSI acquisition strategy is proposed, which achieves superior performance with modest computational complexity. Numerical experiments show that, although centralized IP-MMSE precoders, characterized by rich channel hardening, enable near-optimal performance with simple hardening-based detection, the proposed MMSE-aided blind channel estimation approach emerges as the preferred detection/decoding strategy in nearly all considered scenarios, regardless of the precoding strategy, network load, or CF-mMIMO network infrastructure configuration.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-06-02
DOI
https://doi.org/10.1109/tvt.2025.3575643
Primary Topic
Advanced MIMO Systems Optimization
Type
article
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article

Downlink Pilots in Cell-Free Massive MIMO Networks: A Boon or a Bane for URLLC?

Felip Riera-Palou, Guillem Femenias
IEEE Transactions on Vehicular Technology
Advanced MIMO Systems Optimization
article

Downlink Pilots in Cell-Free Massive MIMO Networks: A Boon or a Bane for URLLC?

Felip Riera-Palou, Guillem Femenias
article en

Abstract

Cell-free massive MIMO (CF-mMIMO) networks are a key enabler for beyond-5G and 6G systems, addressing the demands of ultra-reliable low-latency communication (URLLC). Supporting URLLC, characterized by short packets under strict latency and reliability constraints, poses challenges for CF-mMIMO. This paper extends finite-blocklength theory from cellular MIMO to scalable user-centric (UC) CF-mMIMO, exploring various downlink detection/decoding strategies. Random coding union bounds are derived to evaluate block error rates (BLER) for hardening-bound-based, pilot-based, and blind-based channel state information methods with centralized and distributed precoding, including distributed conjugate beamforming, local partial MMSE, and centralized improved partial MMSE. Our findings reveal that, in the short blocklength regime characteristic of URLLC scenarios, conventional blind CSI acquisition methods, as well as DL pilot-based strategies, underperform. To address this issue, an innovative MMSE-aided blind CSI acquisition strategy is proposed, which achieves superior performance with modest computational complexity. Numerical experiments show that, although centralized IP-MMSE precoders, characterized by rich channel hardening, enable near-optimal performance with simple hardening-based detection, the proposed MMSE-aided blind channel estimation approach emerges as the preferred detection/decoding strategy in nearly all considered scenarios, regardless of the precoding strategy, network load, or CF-mMIMO network infrastructure configuration.

IEEE Transactions on Vehicular TechnologyVol. 74(11)
Universitat de les Illes Balears (ES)
Openalex Percentile: Top 90%
Advanced MIMO Systems Optimization
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