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Distributed and Scalable Uplink Processing for LIS : Algorithm, Architecture, and Design Trade-Offs

Sánchez, Jesús Rodríguez LU ; Rusek, Fredrik LU ; Edfors, Ove LU orcid and Liu, Liang LU orcid (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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Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
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
2025-05-31 03:31:38
@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}},
}