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Dynamic Task Offloading and Resource Allocation for Mobile-Edge Computing in Dense Cloud RAN
Zhang,Qi1; Gui,Lin1; Hou,Fen2; Chen,Jiacheng3; Zhu,Shichao1; Tian,Feng4
2020-04-01
Source PublicationIEEE Internet of Things Journal
Volume7Issue:4Pages:3282-3299
AbstractWith the unprecedented development of smart mobile devices (SMDs), e.g., Internet-of-Things devices and smartphones, various computation-intensive applications are explosively increasing in ultradense networks (UDNs). Mobile-edge computing (MEC) has emerged as a key technology to alleviate the computation workloads of SMDs and decrease service latency for computation-intensive applications. With the benefits of network function virtualization, MEC can be integrated with the cloud radio access network (C-RAN) in UDNs for computation and communication cooperation. However, with stochastic computation task arrivals and time-varying channel states, it is challenging to offload computation tasks online with energy-efficient computation and radio resource management. In this article, we investigate the task offloading and resource allocation problem in MEC-enabled dense C-RAN, aiming at optimizing network energy efficiency. A stochastic mixed-integer nonlinear programming problem is formulated to jointly optimize the task offloading decision, elastic computation resource scheduling, and radio resource allocation. To tackle the problem, the Lyapunov optimization theory is introduced to decompose the original problem into four individual subproblems which are solved by convex decomposition methods and matching game. We theoretically analyze the tradeoff between energy efficiency and service delay. Extensive simulations evaluate the impacts of system parameters on both energy efficiency and service delay. The simulation results also validate the superiority of the proposed task offloading and resource allocation scheme in dense C-RAN.
KeywordCloud radio access network (C-RAN) Lyapunov optimization mobile-edge computing (MEC) resource allocation task offloading ultradense network (UDN)
DOI10.1109/JIOT.2020.2967502
URLView the original
Language英语
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Cited Times [WOS]:15   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorGui,Lin
Affiliation1.Department of Electronic Engineering,Shanghai Jiao Tong University,Shanghai,200240,China
2.Department of Electrical and Computer Engineering,State Key Laboratory of IoT for Smart City,University of Macau,Macao
3.Department of Frontier Research Center,Peng Cheng Laboratory,Shenzhen,518000,China
4.Shanghai Engineering Center for Microsatellites,Chinese Academy of Sciences,Shanghai,201203,China
Recommended Citation
GB/T 7714
Zhang,Qi,Gui,Lin,Hou,Fen,et al. Dynamic Task Offloading and Resource Allocation for Mobile-Edge Computing in Dense Cloud RAN[J]. IEEE Internet of Things Journal,2020,7(4):3282-3299.
APA Zhang,Qi,Gui,Lin,Hou,Fen,Chen,Jiacheng,Zhu,Shichao,&Tian,Feng.(2020).Dynamic Task Offloading and Resource Allocation for Mobile-Edge Computing in Dense Cloud RAN.IEEE Internet of Things Journal,7(4),3282-3299.
MLA Zhang,Qi,et al."Dynamic Task Offloading and Resource Allocation for Mobile-Edge Computing in Dense Cloud RAN".IEEE Internet of Things Journal 7.4(2020):3282-3299.
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