@inproceedings{3b2b226f6e014e8f8bc95a361e1e6822,
title = "Achievable Rate with Correlated Hardware Impairments in Large Intelligent Surfaces",
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.",
keywords = "achievable rate, Hankel transform, hardware impairments, Large Intelligent Surface (LIS), Massive MIMO, mismatched receiver",
author = "Alegria, {Juan Vidal} and Fredrik Rusek",
year = "2019",
doi = "10.1109/CAMSAP45676.2019.9022459",
language = "English",
series = "2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
pages = "559--563",
booktitle = "2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings",
address = "United States",
note = "8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 ; Conference date: 15-12-2019 Through 18-12-2019",
}