Name
Abstract | ||
|---|---|---|
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 S3 can accurately detect the channel occupancies over a 418 MHz spectrum while sampling 8.5 x below the Nyquist rate even if the spectrum is densely occupied. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1145/3511285.3511293 | PROCEEDINGS OF THE 18TH USENIX SYMPOSIUM ON NETWORKED SYSTEM DESIGN AND IMPLEMENTATION |
DocType | Volume | Issue |
Conference | 25 | 3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junfeng Guan | 1 | 7 | 2.28 |
| Jitian Zhang | 2 | 0 | 0.34 |
| Ruochen Lu | 3 | 3 | 1.55 |
| Hyungjoo Seo | 4 | 0 | 0.34 |
| Jin Zhou | 5 | 163 | 22.80 |
| Songbin Gong | 6 | 0 | 0.34 |
| H. Hassanieh | 7 | 591 | 37.63 |