Achievable Rate with Correlated Hardware Impairments in Large Intelligent Surfaces
(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:
https://lup.lub.lu.se/record/3b2b226f-6e01-4e8f-8bc9-5a361e1e6822
- author
- Alegria, Juan Vidal LU and Rusek, Fredrik LU
- organization
- publishing date
- 2019
- 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
- 2022-05-12 01:43:50
@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}}, }