大数据无线通信面临的几点挑战与对策  

Several challenges and countermeasures face by big data wireless communication

作　　者：王飞[1] 许魁[1] 徐友云[1] 张冬梅[1] 

机构地区：[1]解放军理工大学通信工程学院,江苏南京210007

出　　处：《电子技术应用》2015年第3期12-16,19,共6页Application of Electronic Technique

基　　金：国家自然科学基金重大研究计划项目(91438115);国家自然科学基金(61371123;61301165);江苏省自然科学基金(BK2011002;BK2012055);国家博士后科学基金(2014M552612);江苏省博士后科学基金(1401178C)

摘　　要：随着社交网络、物联网的蓬勃发展,跨行业、地域以及领域的物理实体的海量信息交互,带来了数字信息总量的几何级数增长,大数据时代已经到来。数据总量的爆发式增长,在深刻影响着社会和人们生活方式的同时,也给传输和处理这些数据带来了诸多新的挑战。针对这些挑战,研究了大规模无线终端环境下,高能效的大数据无线传输、M2M系统的动态资源分配、基于部分反馈的有限集合网络编码自动重传请求等方法,为改善大数据无线通信网络性能提供了思路。With the vigorous development of the social network and the Internet of Things （IoT）, the huge amounts of informa- tion interaction of physical entity in the field of cross-industry, geographical and interdisciplinary have brought about the geometric progression growth of the digital information. Big data era has arrived. In one aspects, the explosive growth of the total data not only has given rise to profound impact on the society and people＇s way of life, but also, it has brought many new challenges for transmission and processing these data. For these challenges, this paper studies the following aspects of efficient wireless transmission of the big data, dynamic resource allocation of the M2M system and automatic retransmission request of the finite set of network coding based on partial feedback in the environment of large-scale wireless terminals. It provides a thought to improve the performance of the big data wireless communication network.

关 键 词：大数据业务 蜂窝网络 上行接入 数据广播 资源分配 网络编码 

分 类 号：TN92[电子电信—通信与信息系统]