Processing distribution and architecture tradeoff for large intelligent surface implementation
(2020) 2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 In 2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings- Abstract
The Large Intelligent Surface (LIS) concept has emerged recently as a new paradigm for wireless communication, remote sensing and positioning. It consists of a continuous radiating surface placed relatively close to the users, which is able to communicate with users by independent transmission and reception (as a Base Station). Despite of its potential, there are a lot of challenges from an implementation point of view, with the interconnection data-rate and computational complexity being the most relevant. Distributed processing techniques and hierarchical architectures are expected to play a vital role addressing this while ensuring scalability. In this paper we perform algorithm-architecture codesign and analyze the hardware... (More)
The Large Intelligent Surface (LIS) concept has emerged recently as a new paradigm for wireless communication, remote sensing and positioning. It consists of a continuous radiating surface placed relatively close to the users, which is able to communicate with users by independent transmission and reception (as a Base Station). Despite of its potential, there are a lot of challenges from an implementation point of view, with the interconnection data-rate and computational complexity being the most relevant. Distributed processing techniques and hierarchical architectures are expected to play a vital role addressing this while ensuring scalability. In this paper we perform algorithm-architecture codesign and analyze the hardware requirements and architecture trade-offs for a discrete LIS to perform uplink detection. By doing this, we expect to give concrete case studies and guidelines for efficient implementation of LIS systems.
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- author
- Sanchez, Jesus Rodriguez LU ; Edfors, Ove LU ; Rusek, Fredrik LU and Liu, Liang LU
- organization
- publishing date
- 2020-06
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings
- series title
- 2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings
- article number
- 9145210
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020
- conference location
- Dublin, Ireland
- conference dates
- 2020-06-07 - 2020-06-11
- external identifiers
-
- scopus:85090267060
- ISBN
- 9781728174402
- DOI
- 10.1109/ICCWorkshops49005.2020.9145210
- language
- English
- LU publication?
- yes
- id
- 80fa9b13-94aa-4fcb-bf0c-1fa10f599eb8
- date added to LUP
- 2021-01-12 09:03:23
- date last changed
- 2024-03-20 23:20:59
@inproceedings{80fa9b13-94aa-4fcb-bf0c-1fa10f599eb8, abstract = {{<p>The Large Intelligent Surface (LIS) concept has emerged recently as a new paradigm for wireless communication, remote sensing and positioning. It consists of a continuous radiating surface placed relatively close to the users, which is able to communicate with users by independent transmission and reception (as a Base Station). Despite of its potential, there are a lot of challenges from an implementation point of view, with the interconnection data-rate and computational complexity being the most relevant. Distributed processing techniques and hierarchical architectures are expected to play a vital role addressing this while ensuring scalability. In this paper we perform algorithm-architecture codesign and analyze the hardware requirements and architecture trade-offs for a discrete LIS to perform uplink detection. By doing this, we expect to give concrete case studies and guidelines for efficient implementation of LIS systems.</p>}}, author = {{Sanchez, Jesus Rodriguez and Edfors, Ove and Rusek, Fredrik and Liu, Liang}}, booktitle = {{2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings}}, isbn = {{9781728174402}}, language = {{eng}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings}}, title = {{Processing distribution and architecture tradeoff for large intelligent surface implementation}}, url = {{http://dx.doi.org/10.1109/ICCWorkshops49005.2020.9145210}}, doi = {{10.1109/ICCWorkshops49005.2020.9145210}}, year = {{2020}}, }