Distributed and Scalable Uplink Processing for LIS : Algorithm, Architecture, and Design Trade-Offs
(2022) In IEEE Transactions on Signal Processing 70. p.2639-2653- Abstract
The Large Intelligent Surface (LIS) is a promising technology in the areas of wireless communication, remote sensing and positioning. It consists of a continuous radiating surface located in the proximity of the users, with the capability to communicate by transmission and reception (replacing base stations). Despite its potential, there are numerous challenges from an implementation point of view, with the interconnection data-rate, computational complexity, and storage the most relevant ones. In order to address these challenges, hierarchical architectures with distributed processing techniques are envisioned to be relevant for this task, while ensuring scalability. In this work we perform algorithm-Architecture codesign to propose... (More)
The Large Intelligent Surface (LIS) is a promising technology in the areas of wireless communication, remote sensing and positioning. It consists of a continuous radiating surface located in the proximity of the users, with the capability to communicate by transmission and reception (replacing base stations). Despite its potential, there are numerous challenges from an implementation point of view, with the interconnection data-rate, computational complexity, and storage the most relevant ones. In order to address these challenges, hierarchical architectures with distributed processing techniques are envisioned to be relevant for this task, while ensuring scalability. In this work we perform algorithm-Architecture codesign to propose two distributed interference cancellation algorithms, and a tree-based interconnection topology for uplink processing. We also analyze the performance, hardware requirements, and architecture trade-offs for a discrete LIS, in order to provide concrete case studies and guidelines for efficient implementation of LIS systems.
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- author
- Sánchez, Jesús Rodríguez LU ; Rusek, Fredrik LU ; Edfors, Ove LU and Liu, Liang LU
- organization
-
- LTH Profile Area: AI and Digitalization
- Integrated Electronic Systems (research group)
- Communications Engineering (research group)
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- Department of Electrical and Information Technology
- LTH Profile Area: Nanoscience and Semiconductor Technology
- publishing date
- 2022
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- algorithm-Architecture codesign, distributed processing, equalization, inter-connection data-rate, Large intelligent surface, LIS
- in
- IEEE Transactions on Signal Processing
- volume
- 70
- pages
- 15 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85129352930
- ISSN
- 1053-587X
- DOI
- 10.1109/TSP.2022.3171094
- language
- English
- LU publication?
- yes
- id
- 68e791fb-3bac-44ed-b472-6f26b1cec188
- date added to LUP
- 2022-08-15 08:53:21
- date last changed
- 2024-03-21 12:42:44
@article{68e791fb-3bac-44ed-b472-6f26b1cec188, abstract = {{<p>The Large Intelligent Surface (LIS) is a promising technology in the areas of wireless communication, remote sensing and positioning. It consists of a continuous radiating surface located in the proximity of the users, with the capability to communicate by transmission and reception (replacing base stations). Despite its potential, there are numerous challenges from an implementation point of view, with the interconnection data-rate, computational complexity, and storage the most relevant ones. In order to address these challenges, hierarchical architectures with distributed processing techniques are envisioned to be relevant for this task, while ensuring scalability. In this work we perform algorithm-Architecture codesign to propose two distributed interference cancellation algorithms, and a tree-based interconnection topology for uplink processing. We also analyze the performance, hardware requirements, and architecture trade-offs for a discrete LIS, in order to provide concrete case studies and guidelines for efficient implementation of LIS systems. </p>}}, author = {{Sánchez, Jesús Rodríguez and Rusek, Fredrik and Edfors, Ove and Liu, Liang}}, issn = {{1053-587X}}, keywords = {{algorithm-Architecture codesign; distributed processing; equalization; inter-connection data-rate; Large intelligent surface; LIS}}, language = {{eng}}, pages = {{2639--2653}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Signal Processing}}, title = {{Distributed and Scalable Uplink Processing for LIS : Algorithm, Architecture, and Design Trade-Offs}}, url = {{http://dx.doi.org/10.1109/TSP.2022.3171094}}, doi = {{10.1109/TSP.2022.3171094}}, volume = {{70}}, year = {{2022}}, }