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}
}
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IEEE Communications Letters