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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Bibliographic Details
Published in:IET communications Vol. 14; no. 18; pp. 3203 - 3211
Main Authors: Liu, Siyang, Yang, Tingting
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 17.11.2020
Subjects:
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 Access:Get full text
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Description
Summary: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