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Article

Joint Cache Content Placement and Task Offloading in C-RAN Enabled by Multi-Layer MEC

by 1,*, 2 and 1,3
1
School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
2
Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne NE2 1XE, UK
3
School of Computer Sciences and Electrical Engineering, University of Essex, Colchester CO4 3SQ, UK
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(6), 1826; https://doi.org/10.3390/s18061826
Received: 7 April 2018 / Revised: 27 May 2018 / Accepted: 29 May 2018 / Published: 5 June 2018
(This article belongs to the Special Issue Advanced Technologies on Green Radio Networks)
In this paper, we work on a Cache and Multi-layer MEC enabled C-RAN (CMM-CRAN) to handle various user tasks with minimized latency and energy cost. We intend to solve two particular problems of CMM-CRAN. First, because CMM-CRAN has to maximally cache the most frequently requested data from Service Provide Server (SPS) to Remote Radio Head (RRH) and later offered to proximity mobile users, the cache content placement from SPSs to RRHs becomes a many-to-many matching problem with peer effects. Second, because of multi-layer MEC, a user task has to be dynamically controlled to be offloaded to the best fit cloud, i.e., either local MEC or remote MEC, to get served. This dynamic task offloading is a Multi-Dimension Multiple-Choice Knapsack (MMCK) problem. To solve these two problems, we provide a Joint Cache content placement and task Offloading Solution (JCOS) to CMM-CRAN that utilizes Proportional Fairness (PF) as the user scheduling policy. JCOS applies a Gale-Shaply (GS) method to work out the cache content placement, and a Population Evolution (PE) game theory coupled with a use of Analytic Hierarchy Process(AHP) to work out the dynamic user task offloading. According to the simulation results, CMM-CRAN with JCOS is proved to be able to provide highly desired low-latency communication and computation services with decreased energy cost to mobile users. View Full-Text
Keywords: cache content placement; user task offloading; Gale-Shaply method; population evolution game theory cache content placement; user task offloading; Gale-Shaply method; population evolution game theory
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MDPI and ACS Style

Mei, H.; Wang, K.; Yang, K. Joint Cache Content Placement and Task Offloading in C-RAN Enabled by Multi-Layer MEC. Sensors 2018, 18, 1826. https://doi.org/10.3390/s18061826

AMA Style

Mei H, Wang K, Yang K. Joint Cache Content Placement and Task Offloading in C-RAN Enabled by Multi-Layer MEC. Sensors. 2018; 18(6):1826. https://doi.org/10.3390/s18061826

Chicago/Turabian Style

Mei, Haibo, Kezhi Wang, and Kun Yang. 2018. "Joint Cache Content Placement and Task Offloading in C-RAN Enabled by Multi-Layer MEC" Sensors 18, no. 6: 1826. https://doi.org/10.3390/s18061826

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