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...

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Vydáno v:	IET communications Ročník 14; číslo 18; s. 3203 - 3211
Hlavní autoři:	Liu, Siyang, Yang, Tingting
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 17.11.2020
Témata:	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
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Popis
Shrnutí:	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 advantage of MEC system, how to provide delay aware scheduling in UAV-enabled MEC system still remains unsolved. In this study, the authors investigate the delay aware scheduling problem in UAV-enabled orthogonal frequency division multiple access (OFDMA) MEC system and formulate two non-convex optimisation problems. Moreover, they consider uplink and downlink architecture with characteristics in different UAV-ground links and traffic load. Furthermore, they propose two novel multi-stages resource allocation algorithms, i.e. the JSPA-T and JSPA-F algorithms with respect to downlink transmit power allocation and sub-carrier assignment. The mathematical frameworks with duality theory based alternative search optimisation and successive approximation method are proposed. The simulation results validate the performance improvement of the proposed solutions as well as the fast converge behaviour and small computational complexity.
ISSN:	1751-8628 1751-8636
DOI:	10.1049/iet-com.2020.0274