BigBand: GHz-Wide Sensing and Decoding on Commodity Radios

The goal of this paper is to make sensing and decoding GHz of spectrum simple, cheap, and low power. Our thesis is simple: if we can build a technology that captures GHz of spectrum using commodity Wi-Fi radios, it will have the right cost and power budget to enable a variety of new applications suc...

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Main Authors: Hassanieh, Haitham, Shi, Lixin, Abari, Omid, Hamed, Ezzeldine, Katabi, Dina
Other Authors: Dina Katabi
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/1721.1/79058
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author Hassanieh, Haitham
Shi, Lixin
Abari, Omid
Hamed, Ezzeldine
Katabi, Dina
author2 Dina Katabi
author_facet Dina Katabi
Hassanieh, Haitham
Shi, Lixin
Abari, Omid
Hamed, Ezzeldine
Katabi, Dina
author_sort Hassanieh, Haitham
collection MIT
description The goal of this paper is to make sensing and decoding GHz of spectrum simple, cheap, and low power. Our thesis is simple: if we can build a technology that captures GHz of spectrum using commodity Wi-Fi radios, it will have the right cost and power budget to enable a variety of new applications such as GHz-widedynamic access and concurrent decoding of diverse technologies. This vision will change today s situation where only expensive power-hungry spectrum analyzers can capture GHz-wide spectrum. Towards this goal, the paper harnesses the sparse Fourier transform to compute the frequency representation of a sparse signal without sampling it at full bandwidth. The paper makes the following contributions. First, it presents BigBand, a receiver that can sense and decode a sparse spectrum wider than its own digital bandwidth. Second, it builds a prototype of its design using 3 USRPs that each samples the spectrum at 50 MHz, producing a device that captures 0.9 GHz -- i.e., 6x larger bandwidth than the three USRPs combined. Finally, it extends its algorithm to enable spectrum sensing in scenarios where the spectrum is not sparse.
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institution Massachusetts Institute of Technology
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spelling mit-1721.1/790582019-04-11T10:58:07Z BigBand: GHz-Wide Sensing and Decoding on Commodity Radios Hassanieh, Haitham Shi, Lixin Abari, Omid Hamed, Ezzeldine Katabi, Dina Dina Katabi Networks & Mobile Systems Spectrum Sensing Sparse Fourier Transform Wireless ADC Software Radios The goal of this paper is to make sensing and decoding GHz of spectrum simple, cheap, and low power. Our thesis is simple: if we can build a technology that captures GHz of spectrum using commodity Wi-Fi radios, it will have the right cost and power budget to enable a variety of new applications such as GHz-widedynamic access and concurrent decoding of diverse technologies. This vision will change today s situation where only expensive power-hungry spectrum analyzers can capture GHz-wide spectrum. Towards this goal, the paper harnesses the sparse Fourier transform to compute the frequency representation of a sparse signal without sampling it at full bandwidth. The paper makes the following contributions. First, it presents BigBand, a receiver that can sense and decode a sparse spectrum wider than its own digital bandwidth. Second, it builds a prototype of its design using 3 USRPs that each samples the spectrum at 50 MHz, producing a device that captures 0.9 GHz -- i.e., 6x larger bandwidth than the three USRPs combined. Finally, it extends its algorithm to enable spectrum sensing in scenarios where the spectrum is not sparse. 2013-06-03T23:45:02Z 2013-06-03T23:45:02Z 2013-05-22 2013-06-03T23:45:03Z http://hdl.handle.net/1721.1/79058 MIT-CSAIL-TR-2013-009 13 p. application/pdf
spellingShingle Spectrum Sensing
Sparse Fourier Transform
Wireless
ADC
Software Radios
Hassanieh, Haitham
Shi, Lixin
Abari, Omid
Hamed, Ezzeldine
Katabi, Dina
BigBand: GHz-Wide Sensing and Decoding on Commodity Radios
title BigBand: GHz-Wide Sensing and Decoding on Commodity Radios
title_full BigBand: GHz-Wide Sensing and Decoding on Commodity Radios
title_fullStr BigBand: GHz-Wide Sensing and Decoding on Commodity Radios
title_full_unstemmed BigBand: GHz-Wide Sensing and Decoding on Commodity Radios
title_short BigBand: GHz-Wide Sensing and Decoding on Commodity Radios
title_sort bigband ghz wide sensing and decoding on commodity radios
topic Spectrum Sensing
Sparse Fourier Transform
Wireless
ADC
Software Radios
url http://hdl.handle.net/1721.1/79058
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AT shilixin bigbandghzwidesensinganddecodingoncommodityradios
AT abariomid bigbandghzwidesensinganddecodingoncommodityradios
AT hamedezzeldine bigbandghzwidesensinganddecodingoncommodityradios
AT katabidina bigbandghzwidesensinganddecodingoncommodityradios