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”

Positioning of Flying Base Stations to Optimize Throughput and Energy Consumption of Mobile Devices

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00333516" target="_blank" >RIV/68407700:21230/19:00333516 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/VTCSpring.2019.8746555" target="_blank" >http://dx.doi.org/10.1109/VTCSpring.2019.8746555</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/VTCSpring.2019.8746555" target="_blank" >10.1109/VTCSpring.2019.8746555</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Positioning of Flying Base Stations to Optimize Throughput and Energy Consumption of Mobile Devices

  • Original language description

    Requirements on future mobile networks call for flexible, dynamic, and scalable solutions adopted for communications. Flying Base Stations (FlyBSs) are seen as a promising way for provisioning of a connectivity to user equipments (UEs) in highly dynamic scenarios. In this paper, we focus on a positioning of multiple FlyBSs providing communication services to moving UEs in a scenario with existing deployment of static base stations. Positions of the FlyBSs are adjusted over time as the UEs move considering not only a throughput of the UEs, but also an energy consumption of the UEs. The proposed solution for the positioning of FlyBSs is based on genetic algorithms. We show that the throughput experienced by the mobile users is significantly increased (by up to 260%) by our proposed algorithm comparing to the state of the art solution. At the same time, we demonstrate that the FlyBSs notably reduce the energy consumption of the UEs for communication and the proposed positioning of the FlyBSs even emphasizes this benefit. The developed positioning algorithm converges quickly enough to be applied in real networks. These findings open a space for variety of new applications of the FlyBSs in future energy efficient wireless communication systems.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20203 - Telecommunications

Result continuities

  • Project

    <a href="/en/project/GA18-27023S" target="_blank" >GA18-27023S: Communication in Self-optimizing Mobile Networks with Drones</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2019 IEEE 89th Vehicular Technology Conference

  • ISBN

    978-1-7281-1217-6

  • ISSN

  • e-ISSN

    1550-2252

  • Number of pages

    7

  • Pages from-to

    1-7

  • Publisher name

    IEEE

  • Place of publication

    Piscataway (New Jersey)

  • Event location

    Kuala Lumpur

  • Event date

    Apr 28, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000482655600250