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Processing distribution and architecture tradeoff for large intelligent surface implementation

Sanchez, Jesus Rodriguez LU ; Edfors, Ove LU orcid ; Rusek, Fredrik LU and Liu, Liang LU orcid (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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Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
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}},
}