Intelligent Reflecting Surface-Aided Downlink SCMA

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50019514" target="_blank" >RIV/62690094:18450/23:50019514 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/9905717" target="_blank" >https://ieeexplore.ieee.org/document/9905717</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/JSYST.2022.3207998" target="_blank" >10.1109/JSYST.2022.3207998</a>

Result language

angličtina

Original language name

Intelligent Reflecting Surface-Aided Downlink SCMA

Original language description

Recently, intelligent reflecting surfaces (IRSs) and nonorthogonal multiple-access (NOMA) have emerged as energy and spectrally efficient techniques for next-generation wireless networks. Thus, in this article, IRS-aided downlink sparse code multiple access (SCMA) system is analyzed for the next-generation wireless networks. In the proposed IRS-aided SCMA (IRS-SCMA), the base station (BS) communicates with single-antenna users with the help of an IRS. The impact of different phase shift methods at the IRS panel is studied in the IRS-SCMA, and observed that the average phase shift method has a very close performance to the perfect phase shift (optimal) with low complexity. We analyze symbol error rate and sum-rate performance of the IRS-SCMA. Simulation results show that the proposed IRS-SCMA outperforms the corresponding IRS-aided power domain nonorthogonal multiple access (PD-NOMA), and SCMA without IRS schemes. Further, the impacts of various system&apos;s parameters, such as the number of IRS reflecting elements, channel fading, SCMA codebooks, IRS location, and the number of users on the system performance are studied.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IEEE Systems Journal

ISSN

1932-8184

e-ISSN

1937-9234

Volume of the periodical

17

Issue of the periodical within the volume

2

Country of publishing house

US - UNITED STATES

Number of pages

8

Pages from-to

3204-3211

UT code for WoS article

000862373100001

EID of the result in the Scopus database

2-s2.0-85139490037