Paper Info
Title
Delay Aware Scheduling In Uav-Enabled Ofdma Mobile Edge Computing System
Abstract
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.
Year
DOI
Venue
2020
10.1049/iet-com.2020.0274
IET COMMUNICATIONS
Keywords
DocType
Volume
quality of service, computational complexity, radio networks, resource allocation, OFDM modulation, frequency division multiple access, autonomous aerial vehicles, mobile computing, telecommunication scheduling, search problems, approximation theory, concave programming, UAV-enabled OFDMA mobile edge computing system, infrastructure-less scenarios, rural environments, wild emergency response, military applications, disaster relief, unmanned aerial vehicles, enhanced mobile edge computing services, ground users, UAV-enabled MEC system, delay aware scheduling problem, UAV-enabled orthogonal frequency division multiple access MEC system, nonconvex optimisation problems, uplink architecture, downlink architecture, UAV-ground links, multistages resource allocation algorithms, downlink transmit power allocation, computational complexity
Journal
14
Issue
ISSN
Citations 
18
1751-8628
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Siyang Liu102.03
Tingting Yang2418.00