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Spherical Large Intelligent Surfaces

Hu, Sha LU and Rusek, Fredrik LU (2020) 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2020-May. p.8673-8677
Abstract

As an emerging technology and evolution that goes beyond massive multi-input multi-output (MIMO), large intelligent surface (LIS) has gained much interest. LIS acts as an electromagnetic surface that can transmit, redirect, and receive radiating signals across its entire contiguous surface. It allows for unprecedented energy-focusing, data-transmission and terminal-positioning, and can fulfill the most grand visions for future communication systems. Earlier proposed LISs are in two-dimensional (2D), i.e., planar shapes. In this paper, we extend LISs to be three-dimensional (3D) and deployed as spherical surfaces. Compared to 2D LIS, a spherical LIS has advantages in wide coverage, simple positioning technique, and flexible deployment as... (More)

As an emerging technology and evolution that goes beyond massive multi-input multi-output (MIMO), large intelligent surface (LIS) has gained much interest. LIS acts as an electromagnetic surface that can transmit, redirect, and receive radiating signals across its entire contiguous surface. It allows for unprecedented energy-focusing, data-transmission and terminal-positioning, and can fulfill the most grand visions for future communication systems. Earlier proposed LISs are in two-dimensional (2D), i.e., planar shapes. In this paper, we extend LISs to be three-dimensional (3D) and deployed as spherical surfaces. Compared to 2D LIS, a spherical LIS has advantages in wide coverage, simple positioning technique, and flexible deployment as reflecting surface.

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author
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organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Large intelligent surface (LIS), positioning, received signal strength (RSS), reflector, spherical
host publication
2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings
series title
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
volume
2020-May
article number
9054011
pages
5 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020
conference location
Barcelona, Spain
conference dates
2020-05-04 - 2020-05-08
external identifiers
  • scopus:85089219004
ISSN
1520-6149
ISBN
9781509066315
DOI
10.1109/ICASSP40776.2020.9054011
language
English
LU publication?
yes
id
732f8229-e781-4515-8f84-ecf4008b2b8d
date added to LUP
2020-08-18 14:42:46
date last changed
2022-05-12 06:11:10
@inproceedings{732f8229-e781-4515-8f84-ecf4008b2b8d,
  abstract     = {{<p>As an emerging technology and evolution that goes beyond massive multi-input multi-output (MIMO), large intelligent surface (LIS) has gained much interest. LIS acts as an electromagnetic surface that can transmit, redirect, and receive radiating signals across its entire contiguous surface. It allows for unprecedented energy-focusing, data-transmission and terminal-positioning, and can fulfill the most grand visions for future communication systems. Earlier proposed LISs are in two-dimensional (2D), i.e., planar shapes. In this paper, we extend LISs to be three-dimensional (3D) and deployed as spherical surfaces. Compared to 2D LIS, a spherical LIS has advantages in wide coverage, simple positioning technique, and flexible deployment as reflecting surface.</p>}},
  author       = {{Hu, Sha and Rusek, Fredrik}},
  booktitle    = {{2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings}},
  isbn         = {{9781509066315}},
  issn         = {{1520-6149}},
  keywords     = {{Large intelligent surface (LIS); positioning; received signal strength (RSS); reflector; spherical}},
  language     = {{eng}},
  pages        = {{8673--8677}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings}},
  title        = {{Spherical Large Intelligent Surfaces}},
  url          = {{http://dx.doi.org/10.1109/ICASSP40776.2020.9054011}},
  doi          = {{10.1109/ICASSP40776.2020.9054011}},
  volume       = {{2020-May}},
  year         = {{2020}},
}