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Enabling Decentralized Computation of the WAX Decomposition

Alegria, Juan Vidal LU orcid and Rusek, Fredrik LU (2022) 2022 IEEE International Conference on Communications, ICC 2022 In IEEE International Conference on Communications 2022.
Abstract

As the number of antennas scales up, research efforts have been directed towards finding decentralized receiver solutions for multi-antenna architectures. In a recent paper, a novel matrix decomposition - the WAX decomposition - was proposed, which has direct bearing on characterizing the level of decentralization that is possible if the complexity of the decentralized processing is limited. However, the available work on WAX decomposition has left some gaps in determining how one of its basis matrices has to be defined. In this paper we present a number of constructions for effectively defining said basis matrix, and we show how they facilitate decentralized calculation of the WAX decomposition itself for applying information-lossless... (More)

As the number of antennas scales up, research efforts have been directed towards finding decentralized receiver solutions for multi-antenna architectures. In a recent paper, a novel matrix decomposition - the WAX decomposition - was proposed, which has direct bearing on characterizing the level of decentralization that is possible if the complexity of the decentralized processing is limited. However, the available work on WAX decomposition has left some gaps in determining how one of its basis matrices has to be defined. In this paper we present a number of constructions for effectively defining said basis matrix, and we show how they facilitate decentralized calculation of the WAX decomposition itself for applying information-lossless processing in architectures with an arbitrary level of decentralization. Thereby, taking a major step towards realizing decentralized receiver solution for large scale antenna systems.

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Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
decentralized processing, linear equalization, LIS, Massive MIMO, matched filter, MIMO, WAX decomposition
host publication
ICC 2022 - IEEE International Conference on Communications
series title
IEEE International Conference on Communications
volume
2022
conference name
2022 IEEE International Conference on Communications, ICC 2022
conference location
Seoul, Korea, Republic of
conference dates
2022-05-16 - 2022-05-20
external identifiers
  • scopus:85139129397
ISSN
1550-3607
DOI
10.1109/ICC45855.2022.9882287
language
English
LU publication?
yes
id
d12fb329-21d2-4790-be0e-1ec55bce2a4e
date added to LUP
2023-01-12 13:55:31
date last changed
2023-11-21 15:27:42
@inproceedings{d12fb329-21d2-4790-be0e-1ec55bce2a4e,
  abstract     = {{<p>As the number of antennas scales up, research efforts have been directed towards finding decentralized receiver solutions for multi-antenna architectures. In a recent paper, a novel matrix decomposition - the WAX decomposition - was proposed, which has direct bearing on characterizing the level of decentralization that is possible if the complexity of the decentralized processing is limited. However, the available work on WAX decomposition has left some gaps in determining how one of its basis matrices has to be defined. In this paper we present a number of constructions for effectively defining said basis matrix, and we show how they facilitate decentralized calculation of the WAX decomposition itself for applying information-lossless processing in architectures with an arbitrary level of decentralization. Thereby, taking a major step towards realizing decentralized receiver solution for large scale antenna systems.</p>}},
  author       = {{Alegria, Juan Vidal and Rusek, Fredrik}},
  booktitle    = {{ICC 2022 - IEEE International Conference on Communications}},
  issn         = {{1550-3607}},
  keywords     = {{decentralized processing; linear equalization; LIS; Massive MIMO; matched filter; MIMO; WAX decomposition}},
  language     = {{eng}},
  series       = {{IEEE International Conference on Communications}},
  title        = {{Enabling Decentralized Computation of the WAX Decomposition}},
  url          = {{http://dx.doi.org/10.1109/ICC45855.2022.9882287}},
  doi          = {{10.1109/ICC45855.2022.9882287}},
  volume       = {{2022}},
  year         = {{2022}},
}