Paper Info
Title
Enabling Adaptive Data Prefetching in 5G Mobile Networks with Edge Caching
Abstract
The exponential growth of data traffic volume dominates the demand for the next generation mobile networks (5G). The consistent and satisfied quality of experience (QoE) is one of the leading challenges of provisioning services in 5G mobile networks. Thus, in this paper, we propose a novel adaptive prefetching scheme to compensate the undesired transmission conditions in the 5G mobile network by extending the content prefetching concept from the users to the network. Specifically, an optimization problem is proposed for a prefetching scheme that adaptively retrieves users' data to access nodes and (or) user equipments (UEs) before the actual requests according to the network status, QoE status, predicted data rates, and mobility patterns of users. For the sake of tractability, the prefetching problem is transferred to a convex problem that can be solved efficiently. Accordingly, to implement the proposed schemes in the 5G network, system interactions among entities in the network are designed to realize prefetching-related functions. A signaling protocol to support the adaptive prefetching scheme is also presented. Simulation results show that an adaptive prefetching scheme can improve the network performance significantly.
Year
DOI
Venue
2018
10.1109/GLOCOM.2018.8647443
2018 IEEE Global Communications Conference (GLOBECOM)
Keywords
Field
DocType
5G,adaptive prefetching,buffer management,load balance,quality of experience
Computer science,Computer network,Provisioning,Signaling protocol,Quality of experience,Cellular network,Convex optimization,Optimization problem,Next Generation Mobile Networks,Network performance
Conference
ISSN
ISBN
Citations 
2334-0983
978-1-5386-4727-1
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Chengchao Liang129113.64
Fei Yu25116335.58
Ngoc Dao300.34
Gamini Senarath4476.97
Hamid Farmanbar5627.48