On Performance of Intelligent Reflecting Surface aided Wireless Powered IoT Network with HIs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50019831" target="_blank" >RIV/62690094:18450/23:50019831 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9982632" target="_blank" >https://ieeexplore.ieee.org/document/9982632</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/LCOMM.2022.3228907" target="_blank" >10.1109/LCOMM.2022.3228907</a>
Alternative languages
Result language
angličtina
Original language name
On Performance of Intelligent Reflecting Surface aided Wireless Powered IoT Network with HIs
Original language description
Intelligent reflecting surface (IRS) is envisioned as a key technology for the next-generation wireless communication systems that enhances coverage and performance by reconfiguring the wireless propagation environment. In this letter, the performance of an IRS-aided wireless-powered internet-of-things (IoT) network over Rayleigh fading channels is investigated that consists a power station, an IRS, an access point, and IoT devices. In particular, the impact of transceiver hardware impairments (HIs) is considered. An IoT node selection strategy is adopted that maximizes the harvested energy and improves the system performance. The closed-form expressions of outage probability (OP), ergodic capacity, and symbol error rate are derived by using the Gaussian Chebyshev Quadrature method. Further, the closed-form expressions of the asymptotic OP and asymptotic ergodic capacity are derived and the diversity order of the considered network is obtained. The impact of HIs, overall system ceiling effect, IoT devices, reflecting elements, and various system parameters on the considered network are highlighted. Finally, the Monte-Carlo simulations are performed to verify the derived closed-form expressions. IEEE
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Communications Letters
ISSN
1089-7798
e-ISSN
1558-2558
Volume of the periodical
27
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
5
Pages from-to
502-506
UT code for WoS article
000935655800023
EID of the result in the Scopus database
2-s2.0-85144789309