移动大数据时代:无线网络的挑战与机遇

Opportunities and challenges of wireless networks in the era of mobile big data

随着移动互联网、云计算、物联网、机器类型通信等新兴信息通信技术的飞速发展,信息社会进入了网络化的大数据时代.快速普及的智能化移动终端应用助推了全球移动数据流量的大幅度增长.在移动大数据时代,海量数据、业务类型演进、数据多样化、数据空-时域分布不均匀等特征给无线网络带来了严峻的挑战.为了应对挑战,一方面,无线网络从新频谱拓展、传输技术、智能立体化组网等多维度进行演进以满足大数据传输与应用的需求;另一方面,移动大数据作为一种新的生产要素改变着人们认知网络的方法,无线网络可以充分借鉴互联网数据挖掘的理论与方法,实现网络的灵活部署、无线资源的优化配置和低能耗绿色通信.

With the rapid development of information and communication technologies such as mobile Internet, cloud computing, and the Internet of Things, the information society has stepped into the networked big data era. Smart terminals, widely applied in everyday life, are driving the explosive demands of wireless data services. In the era of mobile big data, wireless networks face with many challenges owing to the specific characteristics of big data such as high volume, variety, and non-uniform distribution in the time and space domains. And new approaches are required to address these new challenges. On the one hand, new spectrum technology, transmission technology, and intelligent networking offer promising evolution directions. On the other hand, mining the information contained in the low-density mobile big data, could be a new way to optimize current wireless networks. Data mining theory incorporated with mobile Internet can be applied in a wireless network to realize flexible networking, optimization of radio resource configuration, and green communication.