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Computation offloading and resource allocation for backhaul limited cooperative MEC systems
Nguyen, Duy Phuong; Ha, Vu Nguyen; Le, Long Bao
2019In 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) proceedings
Peer reviewed
 

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Keywords :
cloud computing; resource allocation; computation offloading
Abstract :
[en] In this paper, we jointly optimize computation offloading and resource allocation to minimize the weighted sum of energy consumption of all mobile users in a backhaul limited cooperative MEC system with multiple fog servers. Considering the partial offloading strategy and TDMA transmission at each base station, the underlying optimization problem with constraints on maximum task latency and limited computation resource at mobile users and fog servers is non-convex. We propose to convexify the problem exploiting the relationship among some optimization variables from which an optimal algorithm is proposed to solve the resulting problem. We then present numerical results to demonstrate the significant gains of our proposed design compared to conventional designs without exploiting cooperation among fog servers and a greedy algorithm.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Nguyen, Duy Phuong
Ha, Vu Nguyen  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Le, Long Bao
External co-authors :
yes
Language :
English
Title :
Computation offloading and resource allocation for backhaul limited cooperative MEC systems
Publication date :
22 September 2019
Event name :
IEEE 90th Vehicular Technology Conference (VTC2019-Fall)
Event date :
from 22-09-2019 to 25-09-2019
Audience :
International
Main work title :
2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) proceedings
Publisher :
IEEE, Honolulu, Hawaii, United States
ISBN/EAN :
978-1-7281-1220-6
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Available on ORBilu :
since 11 May 2021

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