AirVIEW: Unsupervised transmitter detection for next generation spectrum sensing
AirVIEW: Unsupervised transmitter detection for next generation spectrum sensing
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DOI：
10.1109/infocom.2018.8485946
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
M. Zheleva;Petko Bogdanov;Timothy LaRock;Paul Schmitt
中科院分区：
文献类型：
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作者：
M. Zheleva;Petko Bogdanov;Timothy LaRock;Paul Schmitt
目前的独占频谱分配和分配模式造成了人为的频谱稀缺，对网络性能和用户体验产生了巨大影响。因此，政府、工业界和学术界都在努力创建允许多层接入的新型频谱管理机制。这种方法的一个关键组成部分是深入了解频谱在时间、频率和空间上的利用。为了应对这一挑战，我们提出了AirVIEW，这是一种单次、无监督的频谱表征方法，用于具有高噪声耐受性的快速发射机检测。AirVIEW自动学习其参数，并采用小波分解，以放大和可靠地检测给定时刻的传输。我们表明，即使发射机的功率仅高于噪声底5dBm， AirVIEW也能稳健地识别发射机。此外，我们通过表征50MHz至4.4GHz宽带频谱测量中的基本发射机特性，展示了AirVIEW为下一代动态频谱接入提供信息的能力。
The current paradigm of exclusive spectrum assignment and allocation is creating artificial spectrum scarcity that has a dramatic impact on network performance and user experience. Thus, governments, industry and academia have endeavored to create novel spectrum management mechanisms that allow multi-tiered access. A key component of such an approach is deep understanding of spectrum utilization in time, frequency and space. To address this challenge, we propose AirVIEW, a one-pass, unsupervised spectrum characterization approach for rapid transmitter detection with high tolerance to noise. AirVIEW autonomously learns its parameters and employs wavelet decomposition in order to amplify and reliably detect transmissions at a given time instant. We show that AirVIEW can robustly identify transmitters even when their power is only 5dBm above the noise floor. Furthermore, we demonstrate AirVIEW's ability to inform next-generation Dynamic Spectrum Access by characterizing essential transmitter properties in wideband spectrum measurements from 50MHz to 4.4GHz.