Big Data Methods for Ultra-dense Network Deployment

Weisi Guo, Maria Liakata, Guillem Mosquera, Weijie Qi, Jie Deng, Jie Zhang
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引用次数: 1

Abstract

Wireless communications technology enables us to seamlessly access many multimedia services, e.g., stored multimedia (e.g., video on-demand), live streaming (e.g., Internet live sport networks, Internet radio stations), and real-time interactive streaming (e.g., online games, video conference, e-education), etc. As such, wireless communications technology has rapidly gained a crucial role and become an important aspect of life. Of most concern, however, is the increase in wireless/mobile devices and the huge demand in data rates associated with this. The future 5G cellular network is expected to achieve as much as 1000 times data rate relative to its current 4G counterpart. Data rates are projected to increase by a factor of ten every five years, and with the emerging Internet of Things (IoT) predicted to wirelessly connect trillions of devices across the globe, without novel approaches, future mobile networks (5G) will grind to a halt unless more capacity is created. One of the solutions is the implementation of ultra-dense networks, combining macro-cells and small-cells and exploiting the emerging technologies of millimetre wave (mm-wave) frequency bands and large-scale antennas arrays. The aim of this book is to present new research related to theory or practice of all aspects of ultra-dense networks.
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面向超密集网络部署的大数据方法
无线通信技术使我们能够无缝地访问许多多媒体服务,例如,存储多媒体(例如,视频点播),直播流媒体(例如,互联网直播体育网络,互联网广播电台)和实时交互式流媒体(例如,在线游戏,视频会议,电子教育)等。因此,无线通信技术已迅速获得了至关重要的作用,成为生活的一个重要方面。然而,最令人担忧的是无线/移动设备的增加以及与此相关的对数据速率的巨大需求。预计未来5G蜂窝网络的数据速率将达到目前4G网络的1000倍。数据速率预计每五年增加十倍,随着新兴的物联网(IoT)预计将无线连接全球数万亿设备,如果没有新的方法,未来的移动网络(5G)将陷入停顿,除非创造更多的容量。解决方案之一是实施超密集网络,将宏基站和小基站结合起来,并利用毫米波(mm-wave)频段和大型天线阵列等新兴技术。本书的目的是介绍与超密集网络各方面的理论或实践相关的新研究。
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Inband Full-duplex Self-backhauling in Ultra-dense Networks Fundamental Limits of Ultra-dense Networks Performance Analysis of Dense Small Cell Networks with Line of Sight and Non-Line of Sight Transmissions under Rician Fading Energy Efficiency Optimization for Dense Networks Massive MIMO for High-performance Ultra-dense Networks in the Unlicensed Spectrum
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