All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Optimization of Placement and Resource Allocation in UAV-Aided Multihop Wireless Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00377326" target="_blank" >RIV/68407700:21230/24:00377326 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/JIOT.2024.3369174" target="_blank" >https://doi.org/10.1109/JIOT.2024.3369174</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/JIOT.2024.3369174" target="_blank" >10.1109/JIOT.2024.3369174</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimization of Placement and Resource Allocation in UAV-Aided Multihop Wireless Networks

  • Original language description

    This article investigates the performance of cellular networks assisted by unmanned aerial vehicles (UAVs) acting as flying base stations (FlyBSs). We focus on a scenario with multihop relaying via FlyBSs to deliver data from a ground base station (GBS) to users in a challenging case with the channels reused at all hops to exploit radio resources efficiently. Our objective is to maximize the sum capacity of the users via an optimization of FlyBSs' position in 3-D, association of users to either GBS or to one of the FlyBSs, allocation of channels for communication at individual hops, and allocation of transmission power for all channels. Moreover, practical constraints on the FlyBSs' movement, transmission and propulsion power, and backhaul capacity are taken into account. Due to a nonconvexity and discreetness of the objective and some constraints, there is no optimal solution to the formulated problem. Thus, we propose an analytical solution based on an alternating optimization of an energy-efficient placement of the FlyBSs, channel allocation, user association, and transmission power. Each subproblem in the alternating optimization is substituted either by a linear programming (LP) problem through a change of variables, or by a convex problem via a conversion of the objective and constraints. The results show an increase in sum capacity by 35%-60% compared to related works while the FlyBSs' propulsion power consumption is not increased.

  • 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/LTT20004" target="_blank" >LTT20004: Cooperation with International Research Centre in Area of Digital Communication Systems</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

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IEEE Internet of Things Journal

  • ISSN

    2327-4662

  • e-ISSN

    2327-4662

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    21

  • Pages from-to

    20051-20071

  • UT code for WoS article

    001285460000054

  • EID of the result in the Scopus database

    2-s2.0-85186106695