摘要
将机器学习技术应用到未来6G网络使其具备内生智能,是未来移动通信系统发展的重要趋势之一。对将机器学习技术引入到6G网络的必要性、可行性进行分析,并给出了一种网络内生智能的方式。同时对网络内生智能所引发的机器学习建模问题、模型部署/更新问题、如何应用强化学习的问题、以及标准化问题进行了探讨。这些问题需要在无线网络内生智能化进程中被关注和进一步研究。
It is one of the main trends in the future mobile communication system via applying machine learning technologies to the future 6G network for obtaining the native intelligence.This paper analyzes the necessity and feasibility of introducing machine learning technologies to 6G networks,and provides one way for making network with native intelligence.Meanwhile,some issues are also discussed from the native intelligence in the network,including machine learning model,model deployment and updating,how to apply reinforcement learning,and standardization.These issues need further concentration and study during the development process of the wireless network with native intelligence.
作者
索士强
王映民
SUO Shiqiang;WANG Yingmin(Datang Mobile Communications Equipment Co.,Ltd.,Beijing 100083,China)
出处
《移动通信》
2020年第6期126-130,共5页
Mobile Communications
关键词
人工智能
机器学习
6G
神经网络
artifi cial intelligence
machine learning
6G
neural network