Energy Consumption Optimization for UAV Base Stations With Wind Compensation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00371905" target="_blank" >RIV/68407700:21230/23:00371905 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/LCOMM.2023.3249630" target="_blank" >https://doi.org/10.1109/LCOMM.2023.3249630</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/LCOMM.2023.3249630" target="_blank" >10.1109/LCOMM.2023.3249630</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Energy Consumption Optimization for UAV Base Stations With Wind Compensation

Popis výsledku v původním jazyce

In this letter, an energy-efficient algorithm for positioning of unmanned aerial vehicle-based base stations (UAV-BSs) is presented. The objective is to reduce the propulsion power consumption of UAV-BSs while not compromising the communication capacity of user equipments (UEs). As a significant step beyond state-of-the-art, we consider an effect of wind. To this end, we develop a new model of a propulsion energy consumption for the UAV-BSs reflecting an impact of wind. Furthermore, we propose a novel algorithm based on an ensemble learning optimizing the 3D trajectory of UAV-BSs over time in realistic environment with wind to reduce the propulsion energy consumption. The results show that the proposed approach reduces the propulsion energy consumption of UAV-BSs by up to 47% with only a negligible degradation in the UEs capacity compared to state-of-the-art works.

Název v anglickém jazyce

Energy Consumption Optimization for UAV Base Stations With Wind Compensation

Popis výsledku anglicky

In this letter, an energy-efficient algorithm for positioning of unmanned aerial vehicle-based base stations (UAV-BSs) is presented. The objective is to reduce the propulsion power consumption of UAV-BSs while not compromising the communication capacity of user equipments (UEs). As a significant step beyond state-of-the-art, we consider an effect of wind. To this end, we develop a new model of a propulsion energy consumption for the UAV-BSs reflecting an impact of wind. Furthermore, we propose a novel algorithm based on an ensemble learning optimizing the 3D trajectory of UAV-BSs over time in realistic environment with wind to reduce the propulsion energy consumption. The results show that the proposed approach reduces the propulsion energy consumption of UAV-BSs by up to 47% with only a negligible degradation in the UEs capacity compared to state-of-the-art works.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20202 - Communication engineering and systems

Projekt

<a href="/cs/project/LTT20004" target="_blank" >LTT20004: Spolupráce s mezinárodním výzkumným centrem v oblasti digitálních komunikačních systémů</a><br>

Návaznosti

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

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

IEEE Communications Letters

ISSN

1089-7798

e-ISSN

1558-2558

Svazek periodika

27

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

5

Strana od-do

1210-1214

Kód UT WoS článku

000976372200032

EID výsledku v databázi Scopus

2-s2.0-85149399049