基于大数据分析的无线通信技术研究

Wireless Communication Technology based on Big-Data Analysis

在未来高度信息化的社会,信息传输将具备海量、大连接、异构业务需求、数据空-时域分布不均匀等特征,给无线网络的设计与建设带来严峻挑战。大数据是处理这些挑战、优化未来无线通信网络的关键技术。利用大数据技术,无线网络可以整合各种分散的零星信息,并深入研究各数据要素之间的关系,指导新型无线通信网络与服务平台的搭建,提升网络服务潜力。因此,本文初步探讨大数据在无线频谱管控、网络规划与优化、无线资源高效管理方面的作用,综述国内外研究现状,以期为未来无线通信网络的设计和大数据在无线通信网络的应用提供参考。

In the future highly information-based society, information transmission, characterized by high volume, massive-connections, variety services, and non-uniform distribution in the time and space domains, etc., would bring great challenges to the design and construction of wireless network. Big data is an effective technology to handle these challenges and optimize the future networks. With big data, wireless network could integrate the scattered information, and analyze deeply the relation of between various data elements, thus to guide the construction of novel wireless network and service platform, improve the potential ability of network service. This paper discusses the applications of big data in spectrum management, network planning and optimization, radio resource management, including its research status both at home and abroad, thus providing some references for the design of future wireless networks and the application of big data in wireless networks.