大规模无线通信网络移动边缘计算和缓存研究

面向未来6G移动通信的大规模网络移动边缘计算与缓存技术,首先,介绍了大规模无线网络下移动边缘计算和缓存的架构与原理,并阐释了移动边缘计算和缓存技术在大规模无线网络中的必要性和普适性。接着,从计算卸载、边缘缓存、多维资源分配、用户关联和隐私保护这5个关键问题出发,综述和分析了移动边缘计算和缓存赋能大规模无线网络时会引入的新型关键问题以及对应的解决方案研究,并进一步指出了未来的发展趋势和研究方向。最后,针对隐私保护问题,提出了一种基于联邦学习的隐私保护方案,并通过仿真结果表明所提方案能够同时保护用户数据隐私且改善系统服务质量。

Research on mobile edge computing and caching in massive wireless communication network

For the large-scale network mobile edge computing and caching technology of future 6G mobile communications,firstly,the architectures and principles of mobile edge computing and caching in large-scale wireless networks were introduced,and the necessity and universality were clarified.Then,from the perspective of the five key issues in the mobile edge computing and caching enabled large-scale wireless network,including computing offloading,edge caching,multi-dimensional resource allocation,user association and privacy protection,the recent researches and further pointed out the future development trends and research directions were reviewed and analyzed.Finally,for the privacy preservation issue,a federated learning based privacy-preserving scheme was proposed.Simulation results show that the proposed scheme can simultaneously preserve user privacy and improve the quality of service.