面向信息闭环的网络信息论设想与展望
Network Information Theory of Information Closed Loop
程帆 1蔡晗 2代彬 2杨升浩 3殷柳国4
作者信息
- 1. 上海交通大学计算机科学与工程系,上海 200240
- 2. 西南交通大学信息科学与技术学院,成都 611756
- 3. 香港中文大学(深圳)理工学院,深圳 518172
- 4. 清华大学信息科学与技术国家研究中心,北京 100084
- 折叠
摘要
随着以工业互联网、车联网为代表的物联网快速发展,网络接入设备和业务数量呈指数式增长趋势.现有根植于点对点通信模型和分层设计思想的经典无线网络面临资源效率低、容量难以持续提升和通信时效性难以保障等困境,亟须实现理论方法的创新突破.在面向信息闭环的无线网络通信架构设想中,引入先验模型以及基于反馈迭代的网络闭环管控和动态业务适配机制,从而设计动态协同网控及资源优化平台.在科学问题中融入了信源、信道和业务过程等约束条件,主要研究媒体内容特性、网络服务机制和网络最优配置.以此模型创新为驱动,探索网络信息论研究的新思路.
Abstract
With the rapid development of the Internet of Things represented by the Industrial Internet and the Internet of Vehicles,the number of network access devices and services is growing exponentially.The classic wireless networks rooted in the point-to-point communication model and layered design concept are facing difficulties such as low resource efficiency,difficulty in continuously improving capacity,and difficulty in ensuring communication timeliness.It is urgent to achieve innovative breakthroughs in theoretical methods.In the envisioned wireless network communication architecture for information closed loops,prior models and feedback iteration-based network closed-loop control and dynamic service adaptation mechanisms are introduced,to design a dynamic collaborative network control and resource optimization platform.The main focus is on studying media content characteristics,network service mechanisms,and network optimal configuration,integrating constraints such as information sources,channels,and business processes into scientific problems.Driven by model innovation,new ideas for network information theory research is explored.
关键词
信息闭环/反馈/信源压缩/网络编码Key words
information closed loop/feedback/source compression/network coding引用本文复制引用
出版年
2024
NETL
NSTL
万方数据