Approximate Composite Channel Statistics and Performance Analysis of IRS-Aided Wireless System Under Nakagami-<italic>m</italic> Fading

An intelligent reflecting surface (IRS) enhances the performance of a wireless channel by controlling the phase of signals reflected by them. This paper investigates an IRS-aided single input single output wireless communication system. Owing to the closely spaced placement of the IRS elements, the...

Full description

Bibliographic Details
Main Authors: Arathi P. Ajayan, Soumya P. Dash, Barathram Ramkumar
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10255749/
_version_ 1797674344647753728
author Arathi P. Ajayan
Soumya P. Dash
Barathram Ramkumar
author_facet Arathi P. Ajayan
Soumya P. Dash
Barathram Ramkumar
author_sort Arathi P. Ajayan
collection DOAJ
description An intelligent reflecting surface (IRS) enhances the performance of a wireless channel by controlling the phase of signals reflected by them. This paper investigates an IRS-aided single input single output wireless communication system. Owing to the closely spaced placement of the IRS elements, the channels between the IRS and the transmitter, as well as the channels between the IRS and the receiver, are considered to be spatially correlated. Assuming optimal phase configuration at the IRS, correlated Nakagami-<inline-formula> <tex-math notation="LaTeX">$m$ </tex-math></inline-formula> random vectors are used to model the magnitude of the channel coefficient vectors between the IRS and the transmitter as well as between the IRS and the receiver. A statistical approximation of the distribution of composite channel is obtained as a Gamma distribution. The parameters of the approximated Gamma distribution are derived in terms of the scale parameter and spread parameter of Nakagami-<inline-formula> <tex-math notation="LaTeX">$m$ </tex-math></inline-formula> random vectors. The approximated Gamma distribution is validated using Monte-Carlo simulations and found to be closely following the actual distribution of the composite channel coefficient. Using the approximation, closed form expressions of the performance metrics such as symbol error probability (SEP), outage probability and average channel capacity are derived and validated.
first_indexed 2024-03-11T21:57:43Z
format Article
id doaj.art-766affaec1534b87bb0f013399c2eb54
institution Directory Open Access Journal
issn 2169-3536
language English
last_indexed 2024-03-11T21:57:43Z
publishDate 2023-01-01
publisher IEEE
record_format Article
series IEEE Access
spelling doaj.art-766affaec1534b87bb0f013399c2eb542023-09-25T23:00:27ZengIEEEIEEE Access2169-35362023-01-011110229010230010.1109/ACCESS.2023.331727710255749Approximate Composite Channel Statistics and Performance Analysis of IRS-Aided Wireless System Under Nakagami-<italic>m</italic> FadingArathi P. Ajayan0https://orcid.org/0000-0001-6485-8426Soumya P. Dash1https://orcid.org/0000-0001-8600-5838Barathram Ramkumar2School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, Odisha, IndiaSchool of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, Odisha, IndiaSchool of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, Odisha, IndiaAn intelligent reflecting surface (IRS) enhances the performance of a wireless channel by controlling the phase of signals reflected by them. This paper investigates an IRS-aided single input single output wireless communication system. Owing to the closely spaced placement of the IRS elements, the channels between the IRS and the transmitter, as well as the channels between the IRS and the receiver, are considered to be spatially correlated. Assuming optimal phase configuration at the IRS, correlated Nakagami-<inline-formula> <tex-math notation="LaTeX">$m$ </tex-math></inline-formula> random vectors are used to model the magnitude of the channel coefficient vectors between the IRS and the transmitter as well as between the IRS and the receiver. A statistical approximation of the distribution of composite channel is obtained as a Gamma distribution. The parameters of the approximated Gamma distribution are derived in terms of the scale parameter and spread parameter of Nakagami-<inline-formula> <tex-math notation="LaTeX">$m$ </tex-math></inline-formula> random vectors. The approximated Gamma distribution is validated using Monte-Carlo simulations and found to be closely following the actual distribution of the composite channel coefficient. Using the approximation, closed form expressions of the performance metrics such as symbol error probability (SEP), outage probability and average channel capacity are derived and validated.https://ieeexplore.ieee.org/document/10255749/Average channel capacityIRSNakagami-m fadingoutage probabilitySEPspatial correlation
spellingShingle Arathi P. Ajayan
Soumya P. Dash
Barathram Ramkumar
Approximate Composite Channel Statistics and Performance Analysis of IRS-Aided Wireless System Under Nakagami-<italic>m</italic> Fading
IEEE Access
Average channel capacity
IRS
Nakagami-m fading
outage probability
SEP
spatial correlation
title Approximate Composite Channel Statistics and Performance Analysis of IRS-Aided Wireless System Under Nakagami-<italic>m</italic> Fading
title_full Approximate Composite Channel Statistics and Performance Analysis of IRS-Aided Wireless System Under Nakagami-<italic>m</italic> Fading
title_fullStr Approximate Composite Channel Statistics and Performance Analysis of IRS-Aided Wireless System Under Nakagami-<italic>m</italic> Fading
title_full_unstemmed Approximate Composite Channel Statistics and Performance Analysis of IRS-Aided Wireless System Under Nakagami-<italic>m</italic> Fading
title_short Approximate Composite Channel Statistics and Performance Analysis of IRS-Aided Wireless System Under Nakagami-<italic>m</italic> Fading
title_sort approximate composite channel statistics and performance analysis of irs aided wireless system under nakagami italic m italic fading
topic Average channel capacity
IRS
Nakagami-m fading
outage probability
SEP
spatial correlation
url https://ieeexplore.ieee.org/document/10255749/
work_keys_str_mv AT arathipajayan approximatecompositechannelstatisticsandperformanceanalysisofirsaidedwirelesssystemundernakagamiitalicmitalicfading
AT soumyapdash approximatecompositechannelstatisticsandperformanceanalysisofirsaidedwirelesssystemundernakagamiitalicmitalicfading
AT barathramramkumar approximatecompositechannelstatisticsandperformanceanalysisofirsaidedwirelesssystemundernakagamiitalicmitalicfading