SpecSense: Crowdsensing for efficient querying of spectrum occupancy
SpecSense: Crowdsensing for efficient querying of spectrum occupancy
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DOI：
10.1109/infocom.2017.8057113
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发表时间：
2017-05
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通讯作者：
Ayon Chakraborty;Md. Shaifur Rahman;Himanshu Gupta;Samir R Das
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作者：
Ayon Chakraborty;Md. Shaifur Rahman;Himanshu Gupta;Samir R Das
我们描述了一个端到端的平台，称为SpecSense，以支持大规模的频谱监测。SpecSense将频谱监控众包到低成本、低功耗的商品SDR/嵌入式平台，并在中央频谱服务器中提供必要的分析支持。在这项工作中，我们描述了SpecSense并解决了与以低开销按需准确估计频谱占用率相关的具体挑战。为了解决精度问题，我们增加了最先进的空间插值技术，以适应RF传播特性在空间上发生变化的情况。为了解决开销问题，我们解决了传感器选择问题，以选择最少数量的频谱传感器，可以最好地估计在所请求的位置的频谱。
We describe an end-to-end platform called SpecSense to support large scale spectrum monitoring. SpecSense crowdsources spectrum monitoring to low-cost, low-power commodity SDR/embedded platforms and provides necessary analytics support in a central spectrum server. In this work, we describe SpecSense and address specific challenges related to accurately estimate spectrum occupancy on demand with low overhead. To address the accuracy question, we augment state-of-the-art spatial interpolation techniques to accommodate scenarios where RF propagation characteristics change across space. To address the overhead question, we solve the sensor selection problem to select the minimum number of spectrum sensors that can best estimate the spectrum at the requested locations.