摘要
随着各类丰富的移动应用普及,可以预见,未来的无线通信系统将需要满足更为苛刻的服务要求,为无线通信技术的发展带来挑战.另一方面,大数据在众多领域的应用取得了令人瞩目的成功.大数据如何赋能无线通信成为学术界和工业界关注的焦点.过去5年,我们承担了国家自然科学基金"无线通信大数据基础理论与技术研究"重点项目群,致力于研究基于大数据的无线通信技术,探索使用大数据突破无线通信发展瓶颈的新理论和新方法.我们将这类在无线通信中产生、能够服务于无线通信的大数据定义为无线大数据.本文是对项目群的研究和实践结果的总结.具体地,我们首先分析了无线大数据的来源和特征,然后构建了与之匹配的无线知识学习范式、智能无线网络框架以及跨地域、跨机构、多用途、一体化的无线大数据平台,最后提出并验证了基于大数据的无线传播环境分析、无线传输以及无线接入技术,从而为基于大数据的无线通信技术的进一步发展提供基础理论支撑和应用范式.
With the popularization of an assortment of mobile applications,it can be predicted that future wireless communication systems have to satisfy increasingly demanding service requirements,rendering the development challenges to wireless communication technologies.On the other hand,applications of big data have gained dramatic successes in numerous areas.It becomes the focus in both academia and industry how big data can enable wireless communications.In the past five years,supported by the key program group of National Nature Science Foundation of China,we devoted to investigating the big data-based wireless communication technologies and exploring the new theories and new methods of applying big data to break the development bottlenecks of wireless communications.We define wireless big data(WBD)as the big data that are generated in wireless communications and meanwhile can assist wireless communications.This paper summarizes our research and practices.Specifically,we first analyze the sources and the characteristics of WBD,and then correspondingly propose the paradigm of wireless knowledge learning,the framework for smart wireless networks,and a cross-region,cross-institution,multi-role,and unified platform for WBD.Finally,the big data-based wireless environment analysis,wireless transmission and access technologies are developed and examined.This paper aims to provide the fundamental theories and application paradigms for the further development of big data-based wireless communication technologies.
作者
梁应敞
谭俊杰
龚晨
张四海
朱近康
徐正元
李云洲
钟晓峰
周世东
张倩倩
曹阳
葛君刚
杨刚
Ying-Chang LIANG;Junjie TAN;Chen GONG;Sihai ZHANG;Jinkang ZHU;Zhengyuan XU;Yunzhou LI;Xiaofeng ZHONG;Shidong ZHOU;Qianqian ZHANG;Yang CAO;Jungang GE;Gang YANG(Center for Intelligent Networking and Communications,University of Electronic Science and Technology of China,Chengdu 611731,China;National Key Laboratory of Science and Technology on Communications,University of Electronic Science and Technology of China,Chengdu 611731,China;School of Information Science and Technology,University of Science and Technology of China,Hefei 230026,China;Wireless-Optical Communications Key Laboratory,Chinese Academy of Sciences,Hefei 230026,China;Beijing National Research Center for Information Science and Technology,Tsinghua University,Beijing 100084,China;Department of Electronic Engineering,Tsinghua University,Beijing 100084,China)
出处
《中国科学：信息科学》
CSCD
北大核心
2021年第11期1946-1964,共19页
Scientia Sinica(Informationis)
基金
国家自然科学基金重点项目(批准号:61631005,61631018,61631013)资助。
关键词
无线大数据
无线通信系统
智能网络
资源优化
接入控制
wireless big data
wireless communication systems
intelligent networks
resource optimization
access control
