Harnessing Mutual Coupling in Cell-Free mMIMO

This letter investigates a cell-free massive MIMO system with $L$ access points (APs), each employing a small fixed-form-factor, uniform linear array of $N$ potentially closely spaced antennas. Utilizing multiport communication theory, we analyze the impact of mutual coupling on uplink and downlink spectral efficiency (SE) under various impedance-matching strategies. We compare two deployment regimes: ($i$) increasing $N$ while $L$ is kept fixed, and ($ii$) increasing $N$ while fixing the total antenna count $M = NL$. Numerical results show that, with a full matching network, mutual coupling itself becomes beneficial when an AP serves several user equipments, which is the typical operating regime of user-centric cell-free networks. Furthermore, with full matching, antenna densification can enhance SE or allow for a reduction in the number of APs without performance loss. Since full matching networks remain of manageable size in the small arrays of distributed APs, unlike in large centralized arrays, cell-free networks offer a natural setting for exploiting mutual coupling.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-11-02
DOI
https://doi.org/10.48550/arxiv.2611.03193
Primary Topic
Advanced MIMO Systems Optimization
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Harnessing Mutual Coupling in Cell-Free mMIMO

Antonio Alberto D'Amico, Luca Sanguinetti, Erind Tufa
arXiv (Cornell University)
Advanced MIMO Systems Optimization
preprint

Harnessing Mutual Coupling in Cell-Free mMIMO

Antonio Alberto D'Amico, Luca Sanguinetti, Erind Tufa
preprint en

Abstract

This letter investigates a cell-free massive MIMO system with $L$ access points (APs), each employing a small fixed-form-factor, uniform linear array of $N$ potentially closely spaced antennas. Utilizing multiport communication theory, we analyze the impact of mutual coupling on uplink and downlink spectral efficiency (SE) under various impedance-matching strategies. We compare two deployment regimes: ($i$) increasing $N$ while $L$ is kept fixed, and ($ii$) increasing $N$ while fixing the total antenna count $M = NL$. Numerical results show that, with a full matching network, mutual coupling itself becomes beneficial when an AP serves several user equipments, which is the typical operating regime of user-centric cell-free networks. Furthermore, with full matching, antenna densification can enhance SE or allow for a reduction in the number of APs without performance loss. Since full matching networks remain of manageable size in the small arrays of distributed APs, unlike in large centralized arrays, cell-free networks offer a natural setting for exploiting mutual coupling.

arXiv (Cornell University)
Advanced MIMO Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Harnessing Mutual Coupling in Cell-Free mMIMO — Antonio Alberto D'Amico, Luca Sanguinetti, et al. · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS