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On the Complexity Requirements of a Panel-Based Large Intelligent Surface

Pereira, Andreia ; Rusek, Fredrik LU ; Gomes, Marco and Dinis, Rui (2020) 2020 IEEE Global Communications Conference, GLOBECOM 2020 In 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings 2020-January.
Abstract

A Large Intelligent Surface (LIS) is a recently proposed concept, especially suitable for high speed indoor communications and industrial internet of things (IoT) applications. Basing the LIS on smaller panels has clear advantages in terms of flexibility and mass production of its elements. In this paper we consider a panel-based LIS and we study the interplay of the panel size, the number of baseband outputs per square meter of deployed surface, the total activated surface area, the number of baseband outputs per panel, the terminal density and the ensuing minimum terminal rate. Our performance results show that it is desirable to employ smaller panels when the terminal density increases, but this means more outputs per m2, and higher... (More)

A Large Intelligent Surface (LIS) is a recently proposed concept, especially suitable for high speed indoor communications and industrial internet of things (IoT) applications. Basing the LIS on smaller panels has clear advantages in terms of flexibility and mass production of its elements. In this paper we consider a panel-based LIS and we study the interplay of the panel size, the number of baseband outputs per square meter of deployed surface, the total activated surface area, the number of baseband outputs per panel, the terminal density and the ensuing minimum terminal rate. Our performance results show that it is desirable to employ smaller panels when the terminal density increases, but this means more outputs per m2, and higher overall LIS implementation complexity. It was observed that we can surpass such increase by working with higher fractions of the LIS area. Furthermore, we present an empirical equation stating the number of outputs per panel needed to ensure that all terminals are reasonably served. These results are useful for the LIS design in practical scenarios.

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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
keywords
Beyond 5G, Implementation Complexity, Large Intelligent Surfaces (LIS), Massive IoT, MU-MIMO
host publication
2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
series title
2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
volume
2020-January
article number
9347953
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2020 IEEE Global Communications Conference, GLOBECOM 2020
conference location
Virtual, Taipei, Taiwan
conference dates
2020-12-07 - 2020-12-11
external identifiers
  • scopus:85101285276
ISBN
9781728182988
DOI
10.1109/GLOBECOM42002.2020.9347953
language
English
LU publication?
yes
id
c3146f9c-9e80-4597-8802-623bd2bad933
date added to LUP
2021-03-11 11:58:37
date last changed
2022-05-12 18:51:09
@inproceedings{c3146f9c-9e80-4597-8802-623bd2bad933,
  abstract     = {{<p>A Large Intelligent Surface (LIS) is a recently proposed concept, especially suitable for high speed indoor communications and industrial internet of things (IoT) applications. Basing the LIS on smaller panels has clear advantages in terms of flexibility and mass production of its elements. In this paper we consider a panel-based LIS and we study the interplay of the panel size, the number of baseband outputs per square meter of deployed surface, the total activated surface area, the number of baseband outputs per panel, the terminal density and the ensuing minimum terminal rate. Our performance results show that it is desirable to employ smaller panels when the terminal density increases, but this means more outputs per m2, and higher overall LIS implementation complexity. It was observed that we can surpass such increase by working with higher fractions of the LIS area. Furthermore, we present an empirical equation stating the number of outputs per panel needed to ensure that all terminals are reasonably served. These results are useful for the LIS design in practical scenarios. </p>}},
  author       = {{Pereira, Andreia and Rusek, Fredrik and Gomes, Marco and Dinis, Rui}},
  booktitle    = {{2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings}},
  isbn         = {{9781728182988}},
  keywords     = {{Beyond 5G; Implementation Complexity; Large Intelligent Surfaces (LIS); Massive IoT; MU-MIMO}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings}},
  title        = {{On the Complexity Requirements of a Panel-Based Large Intelligent Surface}},
  url          = {{http://dx.doi.org/10.1109/GLOBECOM42002.2020.9347953}},
  doi          = {{10.1109/GLOBECOM42002.2020.9347953}},
  volume       = {{2020-January}},
  year         = {{2020}},
}