5G无线大数据回顾:从物理层到应用层

Yuan Gao, Hong Ao, Quan Zhou, Weigui Zhou, Yi Li, Shaochi Cheng, Xiangyang Li
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引用次数: 7

摘要

第五代无线通信系统已成为近年来工业界和学术界研究的热点。5G无线通信系统在频谱效率、能效、传输速度、时延等方面具有优势。然而,现有的关键技术已不能满足日益增长的按需服务需求。本文总结了大数据相关技术在物理层、链路层、网络层和应用层(上层)的应用,并提出了这些领域的优势和未来可能的发展方向。大数据技术将从历史数据、环境数据、传输和用户行为等方面帮助网络更精确、更有效地执行操作。总结了如何将大数据与5G系统结合起来的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review of wireless big data in 5G: From physical layer to application layer
The 5th generation wireless communication system has become popular in recent industry and academic studies. The 5G wireless communication system has advantages in spectrum efficiency, energy efficiency, transmission speed, latency, etc. However, current key techniques could not satisfy the gradually increased service on-demand requirements. In this work, we summarize the utilization of physical layer, link layer, network layer and application layer (upper layer) using big data related technology, and propose the advantages and further possible advances in such areas. Big data technology will help the network to perform operations more precise and effectively, from historical data, environmental data, transmission and user behaviors, etc. Suggestions that how to make big data and 5G system together are concluded.
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