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Fully Decentralized Approximate Zero-Forcing Precoding for Massive MIMO Systems

Sarajlić, Muris LU ; Rusek, Fredrik LU ; Rodríguez Sánchez, Jesús LU ; Liu, Liang LU and Edfors, Ove LU (2019) In IEEE Wireless Communications Letters 8(3). p.773-776
Abstract

We analyze the downlink of a massive multiuser multiple input, multiple output (MIMO) system where antenna units at the base station are connected in a daisy chain without a central processing unit and only possess local channel knowledge. For this setup, we develop and analyze a linear precoding algorithm for suppressing interuser interference. It is demonstrated that the algorithm is close to zero-forcing precoding in terms of performance for a large number of antennas. Moreover, we show that with careful scheduling of processing across antennas, requirements for interconnection throughput are reduced compared with the fully centralized solution. Favorable tradeoff between performance and interconnection throughput makes the daisy... (More)

We analyze the downlink of a massive multiuser multiple input, multiple output (MIMO) system where antenna units at the base station are connected in a daisy chain without a central processing unit and only possess local channel knowledge. For this setup, we develop and analyze a linear precoding algorithm for suppressing interuser interference. It is demonstrated that the algorithm is close to zero-forcing precoding in terms of performance for a large number of antennas. Moreover, we show that with careful scheduling of processing across antennas, requirements for interconnection throughput are reduced compared with the fully centralized solution. Favorable tradeoff between performance and interconnection throughput makes the daisy chain a viable candidate topology for real-life implementations of base stations in MIMO systems where the number of antennas is very large.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
daisy chain, decentralized processing, interference suppression, Massive MIMO
in
IEEE Wireless Communications Letters
volume
8
issue
3
pages
4 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85067928827
ISSN
2162-2337
DOI
10.1109/LWC.2019.2892044
language
English
LU publication?
yes
id
7b005068-2e1a-4b80-8c35-8de59b12da72
date added to LUP
2019-07-09 16:10:22
date last changed
2019-07-30 05:07:02
@article{7b005068-2e1a-4b80-8c35-8de59b12da72,
  abstract     = {<p>We analyze the downlink of a massive multiuser multiple input, multiple output (MIMO) system where antenna units at the base station are connected in a daisy chain without a central processing unit and only possess local channel knowledge. For this setup, we develop and analyze a linear precoding algorithm for suppressing interuser interference. It is demonstrated that the algorithm is close to zero-forcing precoding in terms of performance for a large number of antennas. Moreover, we show that with careful scheduling of processing across antennas, requirements for interconnection throughput are reduced compared with the fully centralized solution. Favorable tradeoff between performance and interconnection throughput makes the daisy chain a viable candidate topology for real-life implementations of base stations in MIMO systems where the number of antennas is very large.</p>},
  articleno    = {8607077},
  author       = {Sarajlić, Muris and Rusek, Fredrik and Rodríguez Sánchez, Jesús and Liu, Liang and Edfors, Ove},
  issn         = {2162-2337},
  keyword      = {daisy chain,decentralized processing,interference suppression,Massive MIMO},
  language     = {eng},
  number       = {3},
  pages        = {773--776},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Wireless Communications Letters},
  title        = {Fully Decentralized Approximate Zero-Forcing Precoding for Massive MIMO Systems},
  url          = {http://dx.doi.org/10.1109/LWC.2019.2892044},
  volume       = {8},
  year         = {2019},
}