@inproceedings{f6257f4d207d461b929d4ac0265c8867,
title = "Performance Analysis of Indoor THz Networks with Intelligent Reflective Surfaces",
abstract = "The recent breakthroughs in electronic and photonic technologies enabled the design and implementation of intelligent reflective surfaces (IRSs) to manipulate electromagnetic waves and control the wireless environment. A promising application of IRSs is their integration with Terahertz (THz) communications. IRSs can cope with the blockage sensitivity of THz propagation by providing alternative line-of-sight (LoS) links to user equipment (UEs) which are initially blocked. However, deploying more IRSs may degrade the network performance as it leads to non-negligible interference levels. In this paper, we use tools from stochastic geometry to investigate the coverage probability of a downlink (DL) indoor THz network assisted by IRSs, which are added to a subset of the existing blockages. The numerical results reveal that there is an optimal density of IRSs that should be deployed to maximize the coverage of UEs in THz networks.",
keywords = "coverage probability, Intelligent reflective surfaces (IRS), stochastic geometry, Terahertz (THz) communications",
author = "Omran Abbas and Nour Kouzayha and Mustafa Kishk and Hadi Sarieddeen and Alouini, {Mohamed Slim} and Al-Naffouri, {Tareq Y.}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Communications, ICC 2023 ; Conference date: 28-05-2023 Through 01-06-2023",
year = "2023",
doi = "10.1109/ICC45041.2023.10279507",
language = "English (US)",
series = "IEEE International Conference on Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2816--2821",
editor = "Michele Zorzi and Meixia Tao and Walid Saad",
booktitle = "ICC 2023 - IEEE International Conference on Communications",
address = "United States",
}