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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20203 - Telecommunications

Result continuities

  • Project

  • 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