Crowdsourcing-based Spectrum Monitoring at A Large Geographical Scale
Crowdsourcing-based Spectrum Monitoring at A Large Geographical Scale
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DOI：
10.1109/dyspan.2019.8935832
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发表时间：
2019-11
期刊：
影响因子：
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通讯作者：
Yousi Lin;Yuxian Ye;Yaling Yang
中科院分区：
文献类型：
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作者：
Yousi Lin;Yuxian Ye;Yaling Yang
频谱监控是动态频谱访问的强大工具，可帮助二级用户访问未使用的频谱空白空间。频谱监测的常用方法是建设基础设施（例如频谱观测站），这需要大量资金和人力，但覆盖范围相对较低。为了帮助实现这一目标，我们提出了一种基于众包的频谱监测系统，适用于大范围的地理区域，利用大量便携式移动设备的力量。该系统可以准确预测未来的频谱利用率，并相应地智能调度移动二级用户之间的频谱监测任务，从而节省移动设备的能源并监测更多的频谱活动。我们还展示了我们的系统不仅能够捕获现有的频谱访问模式，还能够捕获不存在历史频谱信息的未知模式。实验表明，我们的频谱监测系统可以获得较高的频谱监测覆盖范围和较低的能耗。
Spectrum monitoring is a powerful tool in dynamic spectrum access to help secondary users access the unused spectrum white space. The common approach for spectrum monitoring is to build infrastructures (e.g. spectrum observatories), which cost much money and manpower but have relatively low coverage. To aid in this, we propose a crowdsourcing based spectrum monitoring system for a large geographical area that leverages the power of masses of portable mobile devices. The system can accurately predict future spectrum utilization and intelligently schedule the spectrum monitoring tasks among mobile secondary users accordingly, so that the energy of mobile devices can be saved and more spectrum activities can be monitored. We also demonstrate our system’s ability to capture not only the existing spectrum access patterns but also the unknown patterns where no historical spectrum information exist. The experiment shows that our spectrum monitoring system can obtain a high spectrum monitoring coverage and low energy consumption.