Optimization of Cell Individual Offset for Handover of Flying Base Station

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00350982" target="_blank" >RIV/68407700:21230/21:00350982 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/VTC2021-Spring51267.2021.9448970" target="_blank" >https://doi.org/10.1109/VTC2021-Spring51267.2021.9448970</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/VTC2021-Spring51267.2021.9448970" target="_blank" >10.1109/VTC2021-Spring51267.2021.9448970</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Optimization of Cell Individual Offset for Handover of Flying Base Station

Popis výsledku v původním jazyce

Flying base stations (FlyBSs) mounted on unmanned aerial vehicles (UAVs) are widely used in mobile networks to improve a coverage and/or quality of service for users. To ensure a seamless mobility of the FlyBSs among the static base stations (SBSs), an efficient handover mechanism is required. In this paper, we develop a novel handover mechanism determining the serving SBS for the FlyBS in order to increase the sum capacity of the users served by the FlyBS. We propose to dynamically optimize the handover by adjusting the cell individual offset of the SBS via Q-learning. The results show that the Q-learning converges promptly and the proposed approach increases the users capacity (by up to 18%) and their satisfaction with required minimum capacity (by up to 20%) comparing to state-of-the-art algorithms.

Název v anglickém jazyce

Optimization of Cell Individual Offset for Handover of Flying Base Station

Popis výsledku anglicky

Flying base stations (FlyBSs) mounted on unmanned aerial vehicles (UAVs) are widely used in mobile networks to improve a coverage and/or quality of service for users. To ensure a seamless mobility of the FlyBSs among the static base stations (SBSs), an efficient handover mechanism is required. In this paper, we develop a novel handover mechanism determining the serving SBS for the FlyBS in order to increase the sum capacity of the users served by the FlyBS. We propose to dynamically optimize the handover by adjusting the cell individual offset of the SBS via Q-learning. The results show that the Q-learning converges promptly and the proposed approach increases the users capacity (by up to 18%) and their satisfaction with required minimum capacity (by up to 20%) comparing to state-of-the-art algorithms.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20203 - Telecommunications

Projekt

<a href="/cs/project/GA18-27023S" target="_blank" >GA18-27023S: Komunikace v samo-optimalizujících se mobilních sítích s drony</a><br>

Návaznosti

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

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)

ISBN

978-1-7281-8964-2

ISSN

—

e-ISSN

1550-2252

Počet stran výsledku

7

Strana od-do

—

Název nakladatele

IEEE Conference Publications

Místo vydání

Piscataway

Místo konání akce

Helsinki

Datum konání akce

25. 4. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000687839601170