Survey of wireless big data
Survey of wireless big data
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DOI：
10.1007/s41650-017-0001-2
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发表时间：
2017-04
期刊：
影响因子：
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通讯作者：
Lijun Qian;Jinkang Zhu;Sihai Zhang
中科院分区：
文献类型：
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作者：
Lijun Qian;Jinkang Zhu;Sihai Zhang
无线大数据是指由无线设备和用户在无线网络中产生、收集和存储的各种海量数据。虽然这些数据与传统的大数据有一些共同的属性，但它们有自己独特的特点，为学术研究和实际应用提供了许多优势。本文综述了无线大数据领域的最新进展和趋势。由于篇幅所限，本次调查不打算涵盖该领域的所有方面，而是集中在数据辅助传输，数据驱动的网络优化和新的应用。希望本调查能帮助读者更好地了解这一令人兴奋的新兴研究领域。此外，开放的问题和有前途的未来方向也被确定。
Wireless big data describes a wide range of massive data that is generated, collected and stored in wireless networks by wireless devices and users. While these data share some common properties with traditional big data, they have their own unique characteristics and provide numerous advantages for academic research and practical applications. This article reviews the recent advances and trends in the field of wireless big data. Due to space constraints, this survey is not intended to cover all aspects in this field, but to focus on the data aided transmission, data driven network optimization and novel applications. It is expected that the survey will help the readers to understand this exciting and emerging research field better. Moreover, open issues and promising future directions are also identified.