Scalable Cell-Free Massive MIMO With Indoor/Outdoor Users

Cell-free networks are expected to be a forthcoming (r)evolutionary step in the coming generation of mobile networks, the so called 6 G. While mobile infrastructure is often assumed to be deployed outdoor by the operators, reality is that most of the traffic has at least one of the communication ends located indoors. This paper introduces the problem of providing wireless service to a heterogeneous population made of indoor and outdoor users using an outdoor cell-free massive MIMO (CF-mMIMO) infrastructure. It is shown how the pervasive max-min criterion (in cell-free setups) that results in near-uniform quality-of-service to all users may lead to catastrophic consequences when some of the users happen to be indoor. This problem is analyzed in both communication directions, uplink and downlink, exposing the similarities and differences of these two scenarios. Direction-specific solutions are then provided that involve improving the channel estimation and connectivity of indoor users and modifying the power allocation so as to somehow compensate for the wall propagation indoor users have to endure. All the techniques introduced satisfy the scalability requirements thus making our proposal realistically implementable.

Authors

Institutions

Publication Details

Journal
IEEE Open Journal of Vehicular Technology
Published
2024-12-30
DOI
https://doi.org/10.1109/ojvt.2024.3524271
Citations
1
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Scalable Cell-Free Massive MIMO With Indoor/Outdoor Users

Felip Riera-Palou, Guillem Femenias, María Antonia Durán
1 citations
IEEE Open Journal of Vehicular Technology
Advanced MIMO Systems Optimization
0.21
article

Scalable Cell-Free Massive MIMO With Indoor/Outdoor Users

Felip Riera-Palou, Guillem Femenias, María Antonia Durán
article en
1 citations

Abstract

Cell-free networks are expected to be a forthcoming (r)evolutionary step in the coming generation of mobile networks, the so called 6 G. While mobile infrastructure is often assumed to be deployed outdoor by the operators, reality is that most of the traffic has at least one of the communication ends located indoors. This paper introduces the problem of providing wireless service to a heterogeneous population made of indoor and outdoor users using an outdoor cell-free massive MIMO (CF-mMIMO) infrastructure. It is shown how the pervasive max-min criterion (in cell-free setups) that results in near-uniform quality-of-service to all users may lead to catastrophic consequences when some of the users happen to be indoor. This problem is analyzed in both communication directions, uplink and downlink, exposing the similarities and differences of these two scenarios. Direction-specific solutions are then provided that involve improving the channel estimation and connectivity of indoor users and modifying the power allocation so as to somehow compensate for the wall propagation indoor users have to endure. All the techniques introduced satisfy the scalability requirements thus making our proposal realistically implementable.

IEEE Open Journal of Vehicular TechnologyVol. 6
Universitat de les Illes Balears (ES)
Affordable and clean energy
Openalex Percentile: Top 44%
Advanced MIMO Systems Optimization
0.21
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.

Scalable Cell-Free Massive MIMO With Indoor/Outdoor Users — Felip Riera-Palou, Guillem Femenias, et al. · IEEE Open Journal of Vehicular Technology (2024) | TGRS Research Map | TGRS