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Modular binary tree architecture for distributed large intelligent surface

Alegría, Juan Vidal LU orcid ; Rusek, Fredrik LU ; Sánchez, Jesús Rodríguez LU and Edfors, Ove LU orcid (2021) IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021 In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2021-June. p.4865-4869
Abstract

Large intelligent surface (LIS) is a technology that extends massive MIMO by considering an even greater number of antennas distributed throughout vast areas. In order to be able to implement this technology, it is crucial to consider decentralized architectures so as to make the whole system scalable. We consider a LIS divided into several LIS panels of smaller size, which can be located far away from each other. We present a modular architecture that allows combining different LIS panels using a binary tree. This architecture is also valid in a cell-free massive MIMO scenario. We make use of a newly defined matrix decomposition, the WAX decomposition, to define the modules that are used within our architecture. We also study the... (More)

Large intelligent surface (LIS) is a technology that extends massive MIMO by considering an even greater number of antennas distributed throughout vast areas. In order to be able to implement this technology, it is crucial to consider decentralized architectures so as to make the whole system scalable. We consider a LIS divided into several LIS panels of smaller size, which can be located far away from each other. We present a modular architecture that allows combining different LIS panels using a binary tree. This architecture is also valid in a cell-free massive MIMO scenario. We make use of a newly defined matrix decomposition, the WAX decomposition, to define the modules that are used within our architecture. We also study the lossless dimensionality reduction in the data to be processed, which can be achieved using our proposed architecture.

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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
Cell-free massive MIMO, Decentralized processing, Large intelligent surface (LIS), Massive MIMO, WAX decomposition
host publication
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
series title
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
volume
2021-June
pages
5 pages
conference name
IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021
conference location
Toronto, Canada
conference dates
2021-06-06 - 2021-06-11
external identifiers
  • scopus:85115128017
ISSN
1520-6149
ISBN
978-1-7281-7605-5
978-1-7281-7606-2
DOI
10.1109/ICASSP39728.2021.9414989
language
English
LU publication?
yes
id
250c0fb5-e70e-4489-892e-962f37186362
date added to LUP
2021-10-04 16:35:18
date last changed
2024-06-15 17:25:47
@inproceedings{250c0fb5-e70e-4489-892e-962f37186362,
  abstract     = {{<p>Large intelligent surface (LIS) is a technology that extends massive MIMO by considering an even greater number of antennas distributed throughout vast areas. In order to be able to implement this technology, it is crucial to consider decentralized architectures so as to make the whole system scalable. We consider a LIS divided into several LIS panels of smaller size, which can be located far away from each other. We present a modular architecture that allows combining different LIS panels using a binary tree. This architecture is also valid in a cell-free massive MIMO scenario. We make use of a newly defined matrix decomposition, the WAX decomposition, to define the modules that are used within our architecture. We also study the lossless dimensionality reduction in the data to be processed, which can be achieved using our proposed architecture. </p>}},
  author       = {{Alegría, Juan Vidal and Rusek, Fredrik and Sánchez, Jesús Rodríguez and Edfors, Ove}},
  booktitle    = {{International Conference on Acoustics, Speech, and Signal Processing (ICASSP)}},
  isbn         = {{978-1-7281-7605-5}},
  issn         = {{1520-6149}},
  keywords     = {{Cell-free massive MIMO; Decentralized processing; Large intelligent surface (LIS); Massive MIMO; WAX decomposition}},
  language     = {{eng}},
  pages        = {{4865--4869}},
  series       = {{ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings}},
  title        = {{Modular binary tree architecture for distributed large intelligent surface}},
  url          = {{http://dx.doi.org/10.1109/ICASSP39728.2021.9414989}},
  doi          = {{10.1109/ICASSP39728.2021.9414989}},
  volume       = {{2021-June}},
  year         = {{2021}},
}