Scalable and Reliable IoT Enabled by Dynamic Spectrum Management for M2M in LTE-A
Scalable and Reliable IoT Enabled by Dynamic Spectrum Management for M2M in LTE-A
复制标题
DOI：
10.1109/jiot.2016.2562140
复制
发表时间：
2016-05
影响因子：
10.6
通讯作者：
Yue Gao;Zhijin Qin;Z. Feng;Qixun Zhang;O. Holland;M. Dohler
中科院分区：
文献类型：
--
作者：
Yue Gao;Zhijin Qin;Z. Feng;Qixun Zhang;O. Holland;M. Dohler
为了支持物联网（IoT）的预测增长，需要高度可扩展、可靠和可用的连接技术。虽然当今有许多技术可用，但行业趋势表明，蜂窝系统将在确保全球物联网连接方面发挥核心作用。由于频谱通常是3GPP技术的瓶颈，TV白色空间（TVWS）方法是以高度灵活、可靠和可扩展的方式处理数十亿连接设备的非常有前途的手段。为此，我们提出了一个认知无线电启用TD-LET的测试床，实现动态频谱管理TVWS。为了减少数据采集和提高检测性能，我们提出了一种混合框架的动态频谱管理的机器到机器网络。在所提出的框架中，压缩感知实现的目的是降低宽带频谱感知的采样率。提出了一种非迭代重加权压缩频谱感知算法，权值由地理位置数据库中的数据构造。最后，建议的混合框架进行了测试，通过模拟以及真实世界的数据。
To underpin the predicted growth of the Internet of Things (IoT), a highly scalable, reliable and available connectivity technology will be required. Whilst numerous technologies are available today, the industry trend suggests that cellular systems will play a central role in ensuring IoT connectivity globally. With spectrum generally a bottleneck for 3GPP technologies, TV white space (TVWS) approaches are a very promising means to handle the billions of connected devices in a highly flexible, reliable and scalable way. To this end, we propose a cognitive radio enabled TD-LET test-bed to realize the dynamic spectrum management over TVWS. In order to reduce the data acquisition and improve the detection performance, we propose a hybrid framework for the dynamic spectrum management of machine-to-machine networks. In the proposed framework, compressed sensing is implemented with the aim to reduce the sampling rates for wideband spectrum sensing. A noniterative reweighed compressive spectrum sensing algorithm is proposed with the weights being constructed by data from geolocation databases. Finally, the proposed hybrid framework is tested by means of simulated as well as real-world data.