English

Distributed vs. Centralized Precoding in Cell-Free Systems: Impact of Realistic Per-AP Power Limits

Information Theory 2026-03-05 v1 Signal Processing math.IT

Abstract

In cell-free massive MIMO, centralized precoding is {theoretically known} to {remarkably} outperform its distributed counterparts, albeit {with} high implementation complexity. However, this letter highlights a practical limitation {often overlooked:} {widely used closed-form} centralized {precoders} are typically derived under a sum-power constraint, which often demands unrealistic power allocation that exceeds hardware capabilities. {When two simple heuristics (global power scaling and local normalization) are applied to enforce the per-AP instantaneous power constraint}, the centralized performance superiority disappears, making distributed precoding {a robust option}.

Keywords

Cite

@article{arxiv.2603.03948,
  title  = {Distributed vs. Centralized Precoding in Cell-Free Systems: Impact of Realistic Per-AP Power Limits},
  author = {Wei Jiang and Hans D. Schotten},
  journal= {arXiv preprint arXiv:2603.03948},
  year   = {2026}
}

Comments

IEEE Communications Letters

R2 v1 2026-07-01T11:02:50.108Z