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Achievable Rate with Correlated Hardware Impairments in Large Intelligent Surfaces

Alegria, Juan Vidal LU orcid and Rusek, Fredrik LU (2019) 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 In 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings p.559-563
Abstract

Large intelligent surface (LIS) is a new technology yet to be developed. However, this technology is likely to be implemented using cheap components so as to facilitate its deployment. Therefore, we can expect a performance degradation due to hardware impairments. In this paper, we present a model for these hardware impairments in a receiving LIS and we analyze their effect on the achievable rate using a simplified receiver structure. We study the effect of the correlation structure of these impairments by modeling this correlation as a function of the distance between the considered points of the LIS. We present numerical results, as well as closed form formulas, in order to get a general intuition on the problem.

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
achievable rate, Hankel transform, hardware impairments, Large Intelligent Surface (LIS), Massive MIMO, mismatched receiver
host publication
2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings
series title
2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings
article number
9022459
pages
5 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019
conference location
Le Gosier, Guadeloupe
conference dates
2019-12-15 - 2019-12-18
external identifiers
  • scopus:85082399880
ISBN
9781728155494
DOI
10.1109/CAMSAP45676.2019.9022459
language
English
LU publication?
yes
id
3b2b226f-6e01-4e8f-8bc9-5a361e1e6822
date added to LUP
2020-04-14 12:56:48
date last changed
2025-10-14 10:46:13
@inproceedings{3b2b226f-6e01-4e8f-8bc9-5a361e1e6822,
  abstract     = {{<p>Large intelligent surface (LIS) is a new technology yet to be developed. However, this technology is likely to be implemented using cheap components so as to facilitate its deployment. Therefore, we can expect a performance degradation due to hardware impairments. In this paper, we present a model for these hardware impairments in a receiving LIS and we analyze their effect on the achievable rate using a simplified receiver structure. We study the effect of the correlation structure of these impairments by modeling this correlation as a function of the distance between the considered points of the LIS. We present numerical results, as well as closed form formulas, in order to get a general intuition on the problem.</p>}},
  author       = {{Alegria, Juan Vidal and Rusek, Fredrik}},
  booktitle    = {{2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings}},
  isbn         = {{9781728155494}},
  keywords     = {{achievable rate; Hankel transform; hardware impairments; Large Intelligent Surface (LIS); Massive MIMO; mismatched receiver}},
  language     = {{eng}},
  pages        = {{559--563}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings}},
  title        = {{Achievable Rate with Correlated Hardware Impairments in Large Intelligent Surfaces}},
  url          = {{http://dx.doi.org/10.1109/CAMSAP45676.2019.9022459}},
  doi          = {{10.1109/CAMSAP45676.2019.9022459}},
  year         = {{2019}},
}