Performance Analysis of Indoor THz Networks with Intelligent Reflective Surfaces

Omran Abbas; Nour Kouzayha; Mustafa Kishk; Hadi Sarieddeen; Mohamed Slim Alouini; Tareq Y. Al-Naffouri

doi:10.1109/ICC45041.2023.10279507

Performance Analysis of Indoor THz Networks with Intelligent Reflective Surfaces

Omran Abbas^*, Nour Kouzayha, Mustafa Kishk, Hadi Sarieddeen, Mohamed Slim Alouini, Tareq Y. Al-Naffouri

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

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.

Original language	English (US)
Title of host publication	ICC 2023 - IEEE International Conference on Communications
Subtitle of host publication	Sustainable Communications for Renaissance
Editors	Michele Zorzi, Meixia Tao, Walid Saad
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2816-2821
Number of pages	6
ISBN (Electronic)	9781538674628
DOIs	https://doi.org/10.1109/ICC45041.2023.10279507
State	Published - 2023
Event	2023 IEEE International Conference on Communications, ICC 2023 - Rome, Italy Duration: May 28 2023 → Jun 1 2023

Publication series

Name	IEEE International Conference on Communications
Volume	2023-May
ISSN (Print)	1550-3607

Conference

Conference	2023 IEEE International Conference on Communications, ICC 2023
Country/Territory	Italy
City	Rome
Period	05/28/23 → 06/1/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

coverage probability
Intelligent reflective surfaces (IRS)
stochastic geometry
Terahertz (THz) communications

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICC45041.2023.10279507

Cite this

Abbas, O., Kouzayha, N., Kishk, M., Sarieddeen, H., Alouini, M. S., & Al-Naffouri, T. Y. (2023). Performance Analysis of Indoor THz Networks with Intelligent Reflective Surfaces. In M. Zorzi, M. Tao, & W. Saad (Eds.), ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance (pp. 2816-2821). (IEEE International Conference on Communications; Vol. 2023-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC45041.2023.10279507

Abbas, Omran ; Kouzayha, Nour ; Kishk, Mustafa et al. / Performance Analysis of Indoor THz Networks with Intelligent Reflective Surfaces. ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. editor / Michele Zorzi ; Meixia Tao ; Walid Saad. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 2816-2821 (IEEE International Conference on Communications).

@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",

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Abbas, O, Kouzayha, N, Kishk, M, Sarieddeen, H, Alouini, MS & Al-Naffouri, TY 2023, Performance Analysis of Indoor THz Networks with Intelligent Reflective Surfaces. in M Zorzi, M Tao & W Saad (eds), ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. IEEE International Conference on Communications, vol. 2023-May, Institute of Electrical and Electronics Engineers Inc., pp. 2816-2821, 2023 IEEE International Conference on Communications, ICC 2023, Rome, Italy, 05/28/23. https://doi.org/10.1109/ICC45041.2023.10279507

Performance Analysis of Indoor THz Networks with Intelligent Reflective Surfaces. / Abbas, Omran; Kouzayha, Nour; Kishk, Mustafa et al.
ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. ed. / Michele Zorzi; Meixia Tao; Walid Saad. Institute of Electrical and Electronics Engineers Inc., 2023. p. 2816-2821 (IEEE International Conference on Communications; Vol. 2023-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Performance Analysis of Indoor THz Networks with Intelligent Reflective Surfaces

AU - Abbas, Omran

AU - Kouzayha, Nour

AU - Kishk, Mustafa

AU - Sarieddeen, Hadi

AU - Alouini, Mohamed Slim

AU - Al-Naffouri, Tareq Y.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - coverage probability

KW - Intelligent reflective surfaces (IRS)

KW - stochastic geometry

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AN - SCOPUS:85178309327

T3 - IEEE International Conference on Communications

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EP - 2821

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A2 - Zorzi, Michele

A2 - Tao, Meixia

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Abbas O, Kouzayha N, Kishk M, Sarieddeen H, Alouini MS , Al-Naffouri TY. Performance Analysis of Indoor THz Networks with Intelligent Reflective Surfaces. In Zorzi M, Tao M, Saad W, editors, ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. Institute of Electrical and Electronics Engineers Inc. 2023. p. 2816-2821. (IEEE International Conference on Communications). doi: 10.1109/ICC45041.2023.10279507

Performance Analysis of Indoor THz Networks with Intelligent Reflective Surfaces

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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