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

Content Provider	IET Digital Library
Author	Liu, Siyang Yang, Tingting
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.
Starting Page	3203
Ending Page	3211
Page Count	9
ISSN	17518628
Volume Number	14
e-ISSN	17518636
Issue Number	Issue 18, Nov (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/14/18
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2020.0274
Journal	IET Communications
Publisher Date	2020-07-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Approximation Theory Autonomous Aerial Vehicle 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 User Infrastructure-less Scenario Interpolation And Function Approximation Military Application Mobile Computing Mobile Radio System Modulation And Coding Method Multiple Access Communication Multistages Resource Allocation Algorithm Nonconvex Optimisation Problem Numerical Analysis OFDM Modulation Optimisation Technique Quality of Service Radio Network Resource Allocation Rural Environments Search Problem Telecommunication Scheduling UAV-enabled MEC System UAV-enabled OFDMA Mobile Edge Computing System UAV-enabled Orthogonal Frequency Division Multiple Access MEC System UAV-ground Link Unmanned Aerial Vehicle Uplink Architecture Wild Emergency Response
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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