With the wide deployment of 4G mobile networks around the world, mobile Internet industry is booming, and service demands from mobile users are also increasingly growing as well as mobile network traffic. In order to effectively optimize mobile networks and gradually evolve to the next generation intelligent mobile networks (5G/B5G), this project combines mobile edge computing networking technology with content caching technology to deploy edge proxy/server with computing and caching functions in mobile devices and base stations. Besides, the requested content by mobile users can be cached nearby. Then the project studies cooperative caching mechanism and optimization methods of devices and base stations in mobile edge computing networks. Specifically, it includes: 1) For the diversified attributes of mobile users, content and networks, develop inter-network and intra-network traffic models and design joint optimization methods, in order to significantly offload network traffic; 2) Considering different mobile service delays, develop more fair service delay models and design fairness optimization methods, in order to ensure user service of quality; 3) Explore joint modeling and optimization for network traffic and user service delays to obtain their effective tradeoff; 4) Develop an experimental simulation platform based on real large-scale data to verify the proposed theory. This project optimizes the utilization of software and hardware resources in mobile edge computing networks, aiming to offload network traffic and improve service of quality of mobile users; and this project will provide the basic theory and technical report for future mobile networks.
4G移动网络已在全球广泛部署,移动互联网产业蓬勃发展,移动用户服务需求也日益增长,移动网络流量爆发式突涨。为了高效地优化移动网络并逐渐演进至下一代智能移动网络(5G/B5G),本项目将结合移动边缘计算网络技术与内容缓存技术,在终端与基站中部署具有计算与缓存功能的边缘代理/服务器,研究移动边缘计算网络中终端与基站协作缓存机制与优化方法。具体包括:1)针对移动用户、内容与网络的多样化属性,构建精准的网间网内流量模型与设计联合优化方法,以大幅度卸载网络流量;2)针对差异化的移动用户服务延迟,构建更公平的服务延迟模型与设计公平性优化方法,以保证用户服务质量;3)探索网络流量与用户服务延迟的联合建模与优化,以获得两者的有效均衡;4)搭建实验仿真模拟平台,基于真实大规模数据验证理论。本项目研究通过充分利用移动边缘网络软硬件资源,卸载网络流量,提升用户服务质量,为未来移动网络提供基础理论依据和技术支撑。
本项目主要研究移动边缘计算网络中终端与基站协作缓存机制与优化。结合近年来相关领域国内外研究成果,在深入研究终端与基站协作缓存模型基础上,从用户和网络的角度出发,设计了一系列可有效卸载网络流量和提升用户服务质量的协作缓存方法。取得了一系列创新方法和成果,获1项省部级二等奖;以第一作者和通信作者共录用与发表19篇高水平论文,包含SCI期刊论文11篇、中文期刊论文2篇、EI检索国际会议论文6篇;中国发明专利授权6项;支持培养了5名博士生与9名硕士生;参与并协助学院举办4次国内国际科技研讨会,进行10次国内交流访问,6次国际线上交流。超额完成项目任务与目标。
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数据更新时间:2023-05-31
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