Modular binary tree architecture for distributed large intelligent surface
(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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- author
- Alegría, Juan Vidal LU ; Rusek, Fredrik LU ; Sánchez, Jesús Rodríguez LU and Edfors, Ove LU
- organization
- publishing date
- 2021
- 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
- 978-1-7281-7606-2
- 978-1-7281-7605-5
- 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
- 2024-09-22 02:24:47
@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 = {{978-1-7281-7606-2}}, 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}}, }