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Hybrid Centralized-Distributed Precoding in Fronthaul-Constrained CF-mMIMO Systems

  • Zahra Mobini
  • , Hien Quoc Ngo
  • , Ardavan Rahimian
  • , Anvar Tukmanov
  • , David Townend
  • , Michalis Matthaiou
  • , Simon L. Cotton

Research output: Contribution to journalArticlepeer-review

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Abstract

We investigate a fronthaul-limited cell-free massive multiple-input multiple-output (CF-mMIMO) system and propose a hybrid centralized-distributed precoding strategy that dynamically adapts to varying fronthaul and spectral efficiency (SE) requirements. The proposed approach divides users into two groups: one served by centralized precoding and the other by distributed precoding. We formulate a novel optimization problem for user grouping and power control aimed at maximizing the sum SE, subject to fronthaul and per-access point (AP) power constraints. To tackle the problem, we transform it into a tractable form and propose efficient solution algorithms. Numerical results confirm the hybrid scheme’s versatility and superior performance, consistently outperforming fully centralized and distributed approaches across diverse system configurations.
Original languageEnglish
Pages (from-to)295-299
Number of pages5
JournalIEEE Wireless Communications Letters
Volume15
Early online date15 Oct 2025
DOIs
Publication statusPublished online - 15 Oct 2025

Funding

FundersFunder number
Engineering and Physical Sciences Research CouncilEP/X04047X/2

    Keywords

    • Precoding
    • Vectors
    • Optimization
    • Channel estimation
    • Spectral efficiency
    • Resource management
    • Interference
    • Downlink
    • Training
    • Symbols
    • fronthaul constraint
    • spectral efficiency (SE)
    • Cell-free massive multiple-input multiple-output (CF-mMIMO)

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