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Approaching K-Means for Multiantenna UAV Positioning in Combination With a Max-SIC-Min-Rate Framework to Enable Aerial IoT Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10251104" target="_blank" >RIV/61989100:27740/22:10251104 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27240/22:10251104

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9934905" target="_blank" >https://ieeexplore.ieee.org/document/9934905</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ACCESS.2022.3218799" target="_blank" >10.1109/ACCESS.2022.3218799</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Approaching K-Means for Multiantenna UAV Positioning in Combination With a Max-SIC-Min-Rate Framework to Enable Aerial IoT Networks

  • Original language description

    In long-range wireless communication networks, the fading channels described in channel state information are strongly related to distance and the path loss exponent and represent a major challenge in delivering the performance required to support emerging applications. Conveniently, multiple antennas and cooperative relays are efficient solutions that can combat fading channels, thereby improving networking capacity and transmission reliability. This study investigated the use of multi-antenna unmanned aerial vehicle (UAV)s as aerial Internet of Things (IoT) relays and employed their direct line-of-sight benefits to assist IoT wireless networks. To improve the outage probability, system throughput, and energy efficiency (EE), we first considered a combination of transmit antenna selection at the transmitter and the selection combining technique at the receiver to determine the best channel from the pre-coding channel matrix. Using a practical model in a three-dimensional earth environment in combination with the K-means algorithm, we then investigated optimal UAV placement to obtain optimal channel state information for the non-orthogonal multiple access (NOMA) -IoT device cluster globally, thereby ensuring the quality of service for the IoT devices. We introduced a max-successive interference cancellation-min-rate framework for non-ordered NOMA devices, thus deriving theoretical expressions in novel closed forms for two independent scenarios: (i) Rayleigh and (ii) Nakagami- m fading channels. By optimizing the UAV placement, the investigated results applied to the UAV scheme delivered better performance in a NOMA-IoT network than in a terrestrial relay (TR) scheme. Finally, the study examines a variety of models and presents algorithms for Monte Carlo simulations to verify the theoretical results.

  • 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

    <a href="/en/project/LM2018140" target="_blank" >LM2018140: e-Infrastructure CZ</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IEEE Access

  • ISSN

    2169-3536

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    Neuveden

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    22

  • Pages from-to

    115157-115178

  • UT code for WoS article

    000880584800001

  • EID of the result in the Scopus database