Delay aware scheduling in UAV-enabled OFDMA mobile edge computing system

In infrastructure-less scenarios such as rural environments, wild emergency response, military applications and disaster relief, unmanned aerial vehicles (UAVs) are capable of providing enhanced mobile edge computing (MEC) services for ground users. Although small latency is the most important advan...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IET communications Jg. 14; H. 18; S. 3203 - 3211
Hauptverfasser:	Liu, Siyang, Yang, Tingting
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 17.11.2020
Schlagworte:	approximation theory autonomous aerial vehicles computational complexity concave programming delay aware scheduling problem disaster relief downlink architecture downlink transmit power allocation enhanced mobile edge computing services frequency division multiple access ground users infrastructure‐less scenarios military applications mobile computing multistages resource allocation algorithms nonconvex optimisation problems OFDM modulation quality of service radio networks Research Article resource allocation rural environments search problems telecommunication scheduling UAV‐enabled MEC system UAV‐enabled OFDMA mobile edge computing system UAV‐enabled orthogonal frequency division multiple access MEC system UAV‐ground links unmanned aerial vehicles uplink architecture wild emergency response wild emergency response radio networks disaster relief downlink transmit power allocation telecommunication scheduling enhanced mobile edge computing services rural environments ground users UAV-ground links UAV-enabled MEC system mobile computing resource allocation UAV-enabled orthogonal frequency division multiple access MEC system OFDM modulation delay aware scheduling problem search problems concave programming multistages resource allocation algorithms approximation theory frequency division multiple access downlink architecture unmanned aerial vehicles uplink architecture quality of service military applications autonomous aerial vehicles infrastructure-less scenarios nonconvex optimisation problems UAV-enabled OFDMA mobile edge computing system computational complexity
ISSN:	1751-8628, 1751-8636
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!