Trade-Offs in Decentralized Multi-Antenna Architectures: The WAX Decomposition
(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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- author
- Alegria, Juan Vidal LU ; Rusek, Fredrik LU and Edfors, Ove LU
- organization
- publishing date
- 2021
- 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}}, }