Title
Decentralization Issues in Cell-free Massive MIMO Networks with Zero-Forcing Precoding
Abstract
Cell-free massive MIMO (CF-M-MIMO) systems represent an evolution of the classical cellular architecture that has dominated the mobile landscape for decades. In CF-M-MIMO, a central processing unit (CPU) controls a multitude of access points (APs) that are irregularly scattered throughout the coverage area effectively becoming a fully distributed implementation of the MMIMO technology. As such, it inherits many of the key properties that have made M-MIMO one of the physical layer pillars of 5G systems while opening the door to new features not available in M-MIMO. Among the latest is the possibility of performing the precoding at the CPU (centralized) or at the APs (distributed) with the former known to offer much better performance at the cost of having to collect all the relevant channel state information (CSI) at the CPU. Realistic deployments of cell-free systems are likely to require more than one CPU when the area to be covered is large, thus a critical issue that needs to be solved is how these multiple CPUs should be interconnected. This paper analyzes and proposes designs for different degrees of interconnectivity among the CPUs for the specific case of centralized zero-forcing precoding. Results show that a modest form of CPU interconnection can boost very significantly the max-min rate performance so prevalent in CF-M-MIMO architectures.
Year
DOI
Venue
2019
10.1109/ALLERTON.2019.8919893
2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
Keywords
Field
DocType
Cell-free,Massive MIMO,Zero-forcing precoding,Clustering,max-min performance
Cellular architecture,Central processing unit,Computer science,MIMO,Physical layer,Zero-forcing precoding,Precoding,Telecommunications link,Distributed computing,Channel state information
Conference
ISSN
ISBN
Citations 
2474-0195
978-1-7281-3152-8
1
PageRank 
References 
Authors
0.35
8
2
Name
Order
Citations
PageRank
Felip Riera-Palou121131.02
Guillem Femenias235445.43