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Trade-Offs in Decentralized Multi-Antenna Architectures: The WAX Decomposition

Alegria, Juan Vidal LU orcid ; Rusek, Fredrik LU and Edfors, Ove LU orcid (2021) In IEEE Transactions on Signal Processing 69. p.3627-3641
Abstract

Current research on multi-antenna architectures is trending towards increasing the amount of antennas in the base stations (BSs) so as to increase the spectral efficiency. As a result, the interconnection bandwidth and computational complexity required to process the data using centralized architectures is becoming prohibitively high. Decentralized architectures can reduce these requirements by pre-processing the data before it arrives at a central processing unit (CPU). However, performing decentralized processing introduces also cost in complexity/interconnection bandwidth at the antenna end which is in general being ignored. This paper aims at studying the interplay between level of decentralization and the associated... (More)

Current research on multi-antenna architectures is trending towards increasing the amount of antennas in the base stations (BSs) so as to increase the spectral efficiency. As a result, the interconnection bandwidth and computational complexity required to process the data using centralized architectures is becoming prohibitively high. Decentralized architectures can reduce these requirements by pre-processing the data before it arrives at a central processing unit (CPU). However, performing decentralized processing introduces also cost in complexity/interconnection bandwidth at the antenna end which is in general being ignored. This paper aims at studying the interplay between level of decentralization and the associated complexity/interconnection bandwidth requirement at the antenna end. To do so, we propose a general framework for centralized/decentralized architectures that can explore said interplay by adjusting some system parameters, namely the number of connections to the CPU (level of decentralization), and the number of multiplications/outputs per antenna (complexity/interconnection bandwidth). We define a novel matrix decomposition, the WAX decomposition, that allows information-lossless processing within our proposed framework, and we use it to obtain the operational limits of the interplay under study. We also look into some of the limitations of the WAX decomposition.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
decentralized processing, linear equalization, LIS, Massive MIMO, MF, MIMO, WAX decomposition
in
IEEE Transactions on Signal Processing
volume
69
article number
9456087
pages
15 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85112140619
ISSN
1053-587X
DOI
10.1109/TSP.2021.3089442
language
English
LU publication?
yes
id
06a2ea9b-19f9-43dc-8af1-5bca16b280c9
date added to LUP
2021-09-13 14:17:41
date last changed
2024-03-23 09:36:08
@article{06a2ea9b-19f9-43dc-8af1-5bca16b280c9,
  abstract     = {{<p>Current research on multi-antenna architectures is trending towards increasing the amount of antennas in the base stations (BSs) so as to increase the spectral efficiency. As a result, the interconnection bandwidth and computational complexity required to process the data using centralized architectures is becoming prohibitively high. Decentralized architectures can reduce these requirements by pre-processing the data before it arrives at a central processing unit (CPU). However, performing decentralized processing introduces also cost in complexity/interconnection bandwidth at the antenna end which is in general being ignored. This paper aims at studying the interplay between level of decentralization and the associated complexity/interconnection bandwidth requirement at the antenna end. To do so, we propose a general framework for centralized/decentralized architectures that can explore said interplay by adjusting some system parameters, namely the number of connections to the CPU (level of decentralization), and the number of multiplications/outputs per antenna (complexity/interconnection bandwidth). We define a novel matrix decomposition, the WAX decomposition, that allows information-lossless processing within our proposed framework, and we use it to obtain the operational limits of the interplay under study. We also look into some of the limitations of the WAX decomposition. </p>}},
  author       = {{Alegria, Juan Vidal and Rusek, Fredrik and Edfors, Ove}},
  issn         = {{1053-587X}},
  keywords     = {{decentralized processing; linear equalization; LIS; Massive MIMO; MF; MIMO; WAX decomposition}},
  language     = {{eng}},
  pages        = {{3627--3641}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Signal Processing}},
  title        = {{Trade-Offs in Decentralized Multi-Antenna Architectures: The WAX Decomposition}},
  url          = {{http://dx.doi.org/10.1109/TSP.2021.3089442}},
  doi          = {{10.1109/TSP.2021.3089442}},
  volume       = {{69}},
  year         = {{2021}},
}