Cell-Free Massive MIMO: Exploiting The Wax Decomposition
Alegría, Juan Vidal LU
; Huang, Jinliang
and Rusek, Fredrik
LU
(2022)
47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022
In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
2022-May.
p.5393-5397
- Abstract
Cell-free massive multiple-input multiple-output (MIMO) consists of a large set of distributed access points (APs) serving a number of users. The APs can be far from each other, and they can also have a big number of antennas. Thus, decentralized architectures have to be considered so as to reduce the interconnection bandwidth to a central processing unit (CPU) and make the system scalable. On the other hand, the APs in a heterogeneous network might have limited processing capabilities and fully-decentralized processing may not be available. In a recent paper, a trade-off between level of decentralization and decentralized processing complexity has been identified. Furthermore, a novel matrix decomposition - the WAX decomposition -... (More)
Cell-free massive multiple-input multiple-output (MIMO) consists of a large set of distributed access points (APs) serving a number of users. The APs can be far from each other, and they can also have a big number of antennas. Thus, decentralized architectures have to be considered so as to reduce the interconnection bandwidth to a central processing unit (CPU) and make the system scalable. On the other hand, the APs in a heterogeneous network might have limited processing capabilities and fully-decentralized processing may not be available. In a recent paper, a trade-off between level of decentralization and decentralized processing complexity has been identified. Furthermore, a novel matrix decomposition - the WAX decomposition - which, if applicable to the channel matrix, allows for exploitation of said trade-off without loss of information. The results on WAX decomposition are only available for random channel matrices without specific structures, while in a cell-free massive MIMO scenario the channel can have sparse structures. In this work, we study the applicability of WAX decomposition to cell-free massive MIMO with its implications to the above-mentioned trade-off.
(Less)
- author
- Alegría, Juan Vidal
LU
; Huang, Jinliang
and Rusek, Fredrik
LU
- organization
- publishing date
- 2022
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- cell-free massive MIMO, decentralized processing, distributed LIS, linear equalization, WAX decomposition
- host publication
- 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings
- series title
- ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
- volume
- 2022-May
- pages
- 5 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022
- conference location
- Virtual, Online, Singapore
- conference dates
- 2022-05-23 - 2022-05-27
- external identifiers
-
- scopus:85131258095
- ISSN
- 1520-6149
- ISBN
- 9781665405409
- DOI
- 10.1109/ICASSP43922.2022.9747324
- language
- English
- LU publication?
- yes
- id
- a2bd0f7c-8722-4297-80d1-52f8c651ebd4
- date added to LUP
- 2022-08-18 14:54:49
- date last changed
- 2023-11-19 19:02:49
@inproceedings{a2bd0f7c-8722-4297-80d1-52f8c651ebd4,
abstract = {{<p>Cell-free massive multiple-input multiple-output (MIMO) consists of a large set of distributed access points (APs) serving a number of users. The APs can be far from each other, and they can also have a big number of antennas. Thus, decentralized architectures have to be considered so as to reduce the interconnection bandwidth to a central processing unit (CPU) and make the system scalable. On the other hand, the APs in a heterogeneous network might have limited processing capabilities and fully-decentralized processing may not be available. In a recent paper, a trade-off between level of decentralization and decentralized processing complexity has been identified. Furthermore, a novel matrix decomposition - the WAX decomposition - which, if applicable to the channel matrix, allows for exploitation of said trade-off without loss of information. The results on WAX decomposition are only available for random channel matrices without specific structures, while in a cell-free massive MIMO scenario the channel can have sparse structures. In this work, we study the applicability of WAX decomposition to cell-free massive MIMO with its implications to the above-mentioned trade-off.</p>}},
author = {{Alegría, Juan Vidal and Huang, Jinliang and Rusek, Fredrik}},
booktitle = {{2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings}},
isbn = {{9781665405409}},
issn = {{1520-6149}},
keywords = {{cell-free massive MIMO; decentralized processing; distributed LIS; linear equalization; WAX decomposition}},
language = {{eng}},
pages = {{5393--5397}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings}},
title = {{Cell-Free Massive MIMO: Exploiting The Wax Decomposition}},
url = {{http://dx.doi.org/10.1109/ICASSP43922.2022.9747324}},
doi = {{10.1109/ICASSP43922.2022.9747324}},
volume = {{2022-May}},
year = {{2022}},
}