Channel Characterization for RIS-Aided Terahertz Communications: A Stochastic Approach

Thanh Luan Nguyen; Tri Nhu Do; Georges Kaddoum; Daniel Benevides Da Costa; Zygmunt J. Haas

doi:10.1109/LWC.2022.3185977

Channel Characterization for RIS-Aided Terahertz Communications: A Stochastic Approach

Thanh Luan Nguyen^*
, Tri Nhu Do
, Georges Kaddoum
, Daniel Benevides Da Costa
, Zygmunt J. Haas

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

21 Scopus citations

Abstract

In this letter, we propose new channel characterizations for (1) stochastic Terahertz (THz) communications and (2) reconfigurable intelligent surface (RIS)-aided THz systems. Considering a spherical network with stochastic distances between nodes, we derive the exact closed-form expressions for the probability density function (PDF) and the cumulative distribution function (CDF) of the signal-to-noise ratio (SNR) over the direct link. Using the method of moments, the cascaded channels can be precisely characterized by α - μ distribution. We show that by using a massive number of reflecting elements, M, (e.g., M ≥ 4096) the cascaded link actually outperforms the direct THz link in terms of outage probability (OP).

Original language	English
Pages (from-to)	1890-1894
Number of pages	5
Journal	IEEE Wireless Communications Letters
Volume	11
Issue number	9
DOIs	https://doi.org/10.1109/LWC.2022.3185977
State	Published - 1 Sep 2022
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2012 IEEE.

Keywords

Terahertz (THz)
method of moments
reconfigurable intelligent surface (RIS)
stochastic channel modelling

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/LWC.2022.3185977

Cite this

@article{5ef2fe9930474e80910d1b67c4c78970,

title = "Channel Characterization for RIS-Aided Terahertz Communications: A Stochastic Approach",

abstract = "In this letter, we propose new channel characterizations for (1) stochastic Terahertz (THz) communications and (2) reconfigurable intelligent surface (RIS)-aided THz systems. Considering a spherical network with stochastic distances between nodes, we derive the exact closed-form expressions for the probability density function (PDF) and the cumulative distribution function (CDF) of the signal-to-noise ratio (SNR) over the direct link. Using the method of moments, the cascaded channels can be precisely characterized by α - μ distribution. We show that by using a massive number of reflecting elements, M, (e.g., M ≥ 4096) the cascaded link actually outperforms the direct THz link in terms of outage probability (OP).",

keywords = "Terahertz (THz), method of moments, reconfigurable intelligent surface (RIS), stochastic channel modelling",

author = "Nguyen, \{Thanh Luan\} and Do, \{Tri Nhu\} and Georges Kaddoum and \{Da Costa\}, \{Daniel Benevides\} and Haas, \{Zygmunt J.\}",

note = "Publisher Copyright: {\textcopyright} 2012 IEEE.",

year = "2022",

month = sep,

day = "1",

doi = "10.1109/LWC.2022.3185977",

language = "English",

volume = "11",

pages = "1890--1894",

journal = "IEEE Wireless Communications Letters",

issn = "2162-2337",

publisher = "IEEE Communications Society",

number = "9",

}

TY - JOUR

T1 - Channel Characterization for RIS-Aided Terahertz Communications

T2 - A Stochastic Approach

AU - Nguyen, Thanh Luan

AU - Do, Tri Nhu

AU - Kaddoum, Georges

AU - Da Costa, Daniel Benevides

AU - Haas, Zygmunt J.

PY - 2022/9/1

Y1 - 2022/9/1

N2 - In this letter, we propose new channel characterizations for (1) stochastic Terahertz (THz) communications and (2) reconfigurable intelligent surface (RIS)-aided THz systems. Considering a spherical network with stochastic distances between nodes, we derive the exact closed-form expressions for the probability density function (PDF) and the cumulative distribution function (CDF) of the signal-to-noise ratio (SNR) over the direct link. Using the method of moments, the cascaded channels can be precisely characterized by α - μ distribution. We show that by using a massive number of reflecting elements, M, (e.g., M ≥ 4096) the cascaded link actually outperforms the direct THz link in terms of outage probability (OP).

AB - In this letter, we propose new channel characterizations for (1) stochastic Terahertz (THz) communications and (2) reconfigurable intelligent surface (RIS)-aided THz systems. Considering a spherical network with stochastic distances between nodes, we derive the exact closed-form expressions for the probability density function (PDF) and the cumulative distribution function (CDF) of the signal-to-noise ratio (SNR) over the direct link. Using the method of moments, the cascaded channels can be precisely characterized by α - μ distribution. We show that by using a massive number of reflecting elements, M, (e.g., M ≥ 4096) the cascaded link actually outperforms the direct THz link in terms of outage probability (OP).

KW - Terahertz (THz)

KW - method of moments

KW - reconfigurable intelligent surface (RIS)

KW - stochastic channel modelling

UR - https://www.scopus.com/pages/publications/85133813549

U2 - 10.1109/LWC.2022.3185977

DO - 10.1109/LWC.2022.3185977

M3 - Article

AN - SCOPUS:85133813549

SN - 2162-2337

VL - 11

SP - 1890

EP - 1894

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

IS - 9

ER -

Channel Characterization for RIS-Aided Terahertz Communications: A Stochastic Approach

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this