Efficient Wideband Spectrum Sensing Using MEMS Acoustic Resonators


Junfeng Guan, Jitian Zhang, Ruochen Lu, Hyungjoo Seo, Jin Zhou, Songbin Gong, and Haitham Hassanieh, University of Illinois at Urbana-Champaign


This paper presents S^3, an efficient wideband spectrum sensing system that can detect the real-time occupancy of bands in large spectrum. S^3 samples the wireless spectrum below the Nyquist rate using cheap, commodity, low power analog-to-digital converters (ADCs). In contrast to existing sub-Nyquist sampling techniques, which can only work for sparsely occupied spectrum, S^3 can operate correctly even in dense spectrum. This makes it ideal for practical environments with dense spectrum occupancy, which is where spectrum sensing is most useful. To do so, S^3 leverages MEMS acoustic resonators that enable spike-train like filters in the RF frequency domain. These filters sparsify the spectrum while at the same time allow S^3 to monitor a small fraction of bandwidth in every band.

We introduce a new structured sparse recovery algorithm that enables S^3 to accurately detect the occupancy of multiple bands across a wide spectrum. We use our fabricated chip-scale MEMS spike-train filter to build a prototype of an S^3 spectrum sensor using low power off-the-shelf components. Results from a testbed of 19 radios show that S^3 can accurately detect the channel occupancies over a 418 MHz spectrum while sampling $8.5 times below the Nyquist rate even if the spectrum is densely occupied.

NSDI '21 Open Access Sponsored by NetApp

Open Access Media

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.

@inproceedings {265011,
author = {Junfeng Guan and Jitian Zhang and Ruochen Lu and Hyungjoo Seo and Jin Zhou and Songbin Gong and Haitham Hassanieh},
title = {Efficient Wideband Spectrum Sensing Using {MEMS} Acoustic Resonators},
booktitle = {18th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 21)},
year = {2021},
isbn = {978-1-939133-21-2},
url = {https://www.usenix.org/conference/nsdi21/presentation/guan},
publisher = {{USENIX} Association},
month = apr,