D-BigBand: sensing GHZ-wide non-sparse spectrum on commodity radios
This paper presents D-BigBand, a system that senses a GHz-wide spectrum in real time using ADCs sampling at only tens of MS/s speed. It is an advanced version of our previous work, BigBand, which senses GHz-wide sparse spectrum using commodity radios. However, unlike BigBand that requires the spectr...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Association for Computing Machinery (ACM)
2020
|
| Online Access: | https://hdl.handle.net/1721.1/124807 |
| _version_ | 1826202908186640384 |
|---|---|
| author | Shi, Lixin Hassanieh, Haitham Katabi, Dina |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Shi, Lixin Hassanieh, Haitham Katabi, Dina |
| author_sort | Shi, Lixin |
| collection | MIT |
| description | This paper presents D-BigBand, a system that senses a GHz-wide spectrum in real time using ADCs sampling at only tens of MS/s speed. It is an advanced version of our previous work, BigBand, which senses GHz-wide sparse spectrum using commodity radios. However, unlike BigBand that requires the spectrum to be sparse, D-BigBand does not assume sparsity utilization of the spectrum. This is particularly important for the spectrum under 2GHz which is typically not sparse, crowded with different wireless technologies like TV broadcasting, mobile, AM radios, etc. The key idea of D-BigBand is to run sparse recovery on the changes of the spectrum: since only a small fraction of the spectrum is likely to change its occupancy over short intervals of a few milliseconds, the changes of the spectrum is sparse and we can apply sparse recovery to it. Our evaluation shows that D-BigBand works even if 95% of the spectrum is occupied. |
| first_indexed | 2024-09-23T12:25:51Z |
| format | Article |
| id | mit-1721.1/124807 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T12:25:51Z |
| publishDate | 2020 |
| publisher | Association for Computing Machinery (ACM) |
| record_format | dspace |
| spelling | mit-1721.1/1248072022-09-28T08:00:32Z D-BigBand: sensing GHZ-wide non-sparse spectrum on commodity radios Shi, Lixin Hassanieh, Haitham Katabi, Dina Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory This paper presents D-BigBand, a system that senses a GHz-wide spectrum in real time using ADCs sampling at only tens of MS/s speed. It is an advanced version of our previous work, BigBand, which senses GHz-wide sparse spectrum using commodity radios. However, unlike BigBand that requires the spectrum to be sparse, D-BigBand does not assume sparsity utilization of the spectrum. This is particularly important for the spectrum under 2GHz which is typically not sparse, crowded with different wireless technologies like TV broadcasting, mobile, AM radios, etc. The key idea of D-BigBand is to run sparse recovery on the changes of the spectrum: since only a small fraction of the spectrum is likely to change its occupancy over short intervals of a few milliseconds, the changes of the spectrum is sparse and we can apply sparse recovery to it. Our evaluation shows that D-BigBand works even if 95% of the spectrum is occupied. 2020-04-22T17:45:54Z 2020-04-22T17:45:54Z 2014 2019-06-06T16:13:47Z Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-3073-2 https://hdl.handle.net/1721.1/124807 Shi, Lixin, et al. “D-BigBand: Sensing GHZ-Wide Non-Sparse Spectrum on Commodity Radios.” Proceedings of the 6th Annual Workshop on Wireless of the Students, by the Students, for the Students - S3 ’14, September, 2014, Maui, Hawaii, USA, ACM Press, 2014. en http://dx.doi.org/10.1145/2645884.2645887 Proceedings of the 6th Annual Workshop on Wireless of the Students, by the Students, for the Students Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery (ACM) other univ website |
| spellingShingle | Shi, Lixin Hassanieh, Haitham Katabi, Dina D-BigBand: sensing GHZ-wide non-sparse spectrum on commodity radios |
| title | D-BigBand: sensing GHZ-wide non-sparse spectrum on commodity radios |
| title_full | D-BigBand: sensing GHZ-wide non-sparse spectrum on commodity radios |
| title_fullStr | D-BigBand: sensing GHZ-wide non-sparse spectrum on commodity radios |
| title_full_unstemmed | D-BigBand: sensing GHZ-wide non-sparse spectrum on commodity radios |
| title_short | D-BigBand: sensing GHZ-wide non-sparse spectrum on commodity radios |
| title_sort | d bigband sensing ghz wide non sparse spectrum on commodity radios |
| url | https://hdl.handle.net/1721.1/124807 |
| work_keys_str_mv | AT shilixin dbigbandsensingghzwidenonsparsespectrumoncommodityradios AT hassaniehhaitham dbigbandsensingghzwidenonsparsespectrumoncommodityradios AT katabidina dbigbandsensingghzwidenonsparsespectrumoncommodityradios |