面向5G通信的大数据驱动网络切片管理研究与设计
Research and Design on Slice Management of Big Data-Driven Network for 5G Communication
周晓峰1
作者信息
- 1. 杭州简单点科技有限公司,浙江杭州 310000
- 折叠
摘要
文章围绕 5G通信的崛起和网络切片管理的重要性展开论证,研究并设计面向5G通信的大数据驱动网络切片管理方案.通过设计综合框架,强调算法设计的关键性.同时,针对网络切片算法设计,明确关键性能指标,并深入探讨基于强化学习的动态网络切片调整算法,包括奖励函数和策略的实现.该研究为5G通信中的网络切片管理提供全面且实用的设计和实现方案.
Abstract
Focusing on the rise of 5G communication and the importance of network slice management,this paper studies and designs a big data-driven network slice management scheme for 5G communication.By designing a comprehensive framework,the key of algorithm design is emphasized.At the same time,aiming at the design of network slicing algorithm,the key performance indexes are defined,and the dynamic network slicing adjustment algorithm based on reinforcement learning is deeply discussed,including the realization of reward function and strategy.This research provides a comprehensive and practical design and implementation scheme for network slice management in 5G communication.
关键词
网络切片管理/大数据驱动/强化学习/动态网络调整Key words
network slicing management/big data-driven/reinforcement learning/dynamic network adjustment引用本文复制引用
出版年
2024
NETL
NSTL
万方数据