基于反向传播算法的5G网络优化技术研究

Research on 5g network optimization technology based on back propagation algorithm

移动通信正在从人和人的连接方式,逐渐转变为物与物及人与物的连接迈进,万物互联将是未来的大势所趋。作为4G技术的增强版,5G多制式共存的异构网络高速度、低时延、高可靠的网络特色,为万物联网提供了先决条件。同时也对人工智能的发展提出了新的要求。如何在高速发展的网络时代保持竞争力、实现网络的自我学习,这将是人工智能道路发展上的重要一环。

mobile communication is changing from the way of connecting people to people,and gradually changing into the connection between things and people.The interconnection of all things will be the general trend in the future.As an enhanced version of 4 G technology,5 g multi system coexistence of heterogeneous network features high speed,low delay and high reliability,which provides a prerequisite for the Internet of things.At the same time,it also puts forward new requirements for the development of artificial intelligence.How to maintain competitiveness in the rapid development of the network era,to achieve selflearning network.This will be an important link in the development of artificial intelligence.