Distributed Versus Centralized Precoding in Cell-Free Systems: Impact of Realistic Per-AP Power Limits
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.
Fields of Study & Subjects
Advanced MIMO Systems Optimization
Millimeter-Wave Propagation and Modeling
Advanced Wireless Communication Technologies
Publication details
- Journal / source
- IEEE Communications Letters
- Volume
- 30
- Pages
- 1320–1324
- Publication date
- 1 January 2026
- Language
- EN