Paper Info
Title
Clustered Cell-Free Massive MIMO
Abstract
This paper introduces a novel technique, clustered cell-free massive-MIMO (C <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> F-M-MIMO), that generalizes the recently proposed cell-free massive MIMO (CF-M-MIMO) concept by optimizing the connectivity pattern among access points (APs) and mobile stations (MSs). Relying on the popular K-means clustering algorithm, APs and MSs are grouped together in clusters in such a way that strong interferers arising due to pilot contamination are minimized. The clustering pattern varies in accordance to the large-scale fading parameters and is therefore able to respond to macroscopic changes in the network (user mobility, network load variations). Numerical results show that the proposed architecture is able to support a large number of users even with very low-complexity processing at the AP side while greatly reducing the fronthaul capacity requirements.
Year
DOI
Venue
2018
10.1109/GLOCOMW.2018.8644255
2018 IEEE Globecom Workshops (GC Wkshps)
Keywords
Field
DocType
Channel estimation,MIMO communication,Fading channels,Computer architecture,Training,Uplink,Downlink
Cluster (physics),Fading,Computer science,Fronthaul,Computer network,MIMO,Cluster analysis,Mimo communication,Telecommunications link
Conference
ISSN
ISBN
Citations 
2166-0069
978-1-5386-4920-6
7
PageRank 
References 
Authors
0.50
0
4
Name
Order
Citations
PageRank
Felip Riera-Palou121131.02
Guillem Femenias235445.43
Ana García Armada311323.85
Ana I. Pérez-Neira440152.50