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Research On Key Technologies For Caching And Computing In 5G Mobile Communication Networks

Posted on:2020-11-23Degree:DoctorType:Dissertation
Country:ChinaCandidate:Q M JiaFull Text:PDF
GTID:1368330575456577Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
With the continuous development and prosperity of mobile Internet and Internet of Things,various network services and applications have become the indispensable part of people's daily life,such as smart city,virtual reality,augmented reality,online games,high-definition video and so on.These new net-work services and applications enrich people s lives,but also bring new challenges to the mobile communication network infrastructure:on the one hand,the mobile network data traffic generated by these network services and applications shows a trend of explosive growth;on the other hand,these new network services and applications demand more and more computing resources.In order to provide users with mobile network services with higher quality of experience,it is of great significance to actively carry out and promote the research of the fifth generation(5G)mobile communication network technology.Among them,the deployment of caching and computing resources in 5G mobile communication network is considered to be an important way to reduce network transmission delay and redundant content transmission,improve content distribution efficiency and network computing processing capacity,and has been widely concerned by academia and industry.Considering the development trend of deploying caching and computing resources in 5G mobile communication networks,this paper makes an in-depth study on the key technologies of caching and computing in 5G mobile communication networks,including:how to implement efficient caching resource allocation mechanism in 5G core network;how to implement cooperative and efficient content caching and distribution mechanism in 5G edge network;and how to implement computation task offloading mechanism in 5G edge network.Specific research contents and main innovative work are summarized as follows:(1)Research on efficient caching resource allocation mechanism in 5G core networkDeploying content caching in 5G core network has been considered as an important method to improve content delivery efficiency and the quality of experience for end users.However,with the introduction of network slicing technology in 5G core network,content caching has not been well considered in 5G core network slicing.Network slicing is a new technology introduced into 5G mobile communication network,which can create virtual network and provide customized network services according to users'needs.Considering the tech-nology of 5G core network caching and network slicing,this paper proposes an efficient caching resource allocation mechanism for 5G core network.Firstly,the caching resource allocation problem of 5G core network is abstractly mod-eled as an integer linear programming(ILP)model.Then a caching resource allocation strategy based on chemical reaction optimization(CRO)algorithm is proposed.The simulation results show the effectiveness of the proposed method.(2)Research on cooperative efficient content caching and distribution mechanism in 5G edge networkIn 5G mobile communication network,the deployment location of content caching further sinks and deploys in the edge of the network close to the end users,which can further reduce the network transmission delay.It is of great significance to improve the content distribution efficiency of mobile communication network.Among them,coded caching and cooperative distribution are considered as two promising technologies in 5G edge networks.Although there are many excellent works in coded caching and cooperative distribution,these two technologies are traditionally handled separately.It is necessary to jointly consider these two important issues in order to reduce the backhaul rate,improve the efficiency of content distribution and the quality of experience.Considering coded caching and collaborative distribution,this paper propos-es a collaborative and efficient content caching and distribution mechanism.Based on the proposed scheme,an energy consumption model is established from the perspective of content caching and content distribution to optimize the energy efficiency of content caching and content distribution.In addition,this paper proposes a caching placement algorithm based on heuristic greedy algo-rithm,which solves this energy efficiency optimization problem by op.timizing the caching placement.Finally,the simulation results show the performance of the scheme.(3)Research on computation task offloading mechanism in 5G edge net-workDeployment of computing resources in 5G edge networks has become an important trend in the development of 5G mobile communication networks.And it is of great significance to improve the computing capacity of the network and the quality of experience for the end users.In addition,the new network paradigm,which deploys computing resources and information technology ser-vice environment in the edge of 5G network and provides end users with low latency and high bandwidth services,is called edge computing.And it is also a new technology introduced by 5G mobile communication network.At the same time,considering the limited battery capacity and computing capacity of mobile terminals,it is very difficult to deal with computing-intensive tasks in mobile terminals.Therefore,it is necessary to offload the computation tasks to the edge computing server,and the computation offloading is also considered as one of the key issues in the field of edge computing.In this paper,edge computing and D2D(Device-to-Device)communication technology are jointly considered,and an energy-efficient computation task offloading mechanism is proposed.In particular,the computation task execution model can be composed of local execution,fog computing device execution and mobile edge computing server execution.Then,the computation task offloading problem is modeled as a stochastic optimization problem,and we use the Lyapunov optimization technology framework to solve this problem.Finally,simulation results show the performance of the proposed scheme.
Keywords/Search Tags:5G Mobile Communication Networks, Content Caching, Collaborative Distribution, Edge Computing, Energy Efficiency
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