Microsoft Spectr rum Observatory Ranveer Chandra Microsoft Research Joint work with Techn nology & Policy Group p Gupta, Jason van Eaton, Matt Valerio, P Paul Garnett, Paul Mitchell, David Tennenh
owing Demand owing Demand 24 HOURS 20X - 40X 50 BILLION 35X UPLOADED EVERY OVER THE NEXT CONNECTED DEVICES 2009 LEVELS 60 SECONDS 60 SECONDS FIVE YEARS FIVE YEARS BY 2020 BY 2020 BY 2014 BY 2014 * See Ericsson Press Release, quoting its President and Chief Executive Officer Hans Vestberg, April 13, 2010, available at http://www.ericsson.com/thecompany/press/releases/2010/04/1403231 **. Federal Communications Commission, Staff Technical Paper, Mobile Broadband: The Benefits of Additional Spectrum, OB BI Technical Paper No. 6 (Oct. 2010).
owing Demand owing Demand 24 HOURS 20X - 40X 50 BILLION 35X UPLOADED EVERY OVER THE NEXT CONNECTED DEVICES 2009 LEVELS 60 SECONDS 60 SECONDS FIVE YEARS FIVE YEARS BY 2020 BY 2020 BY 2014 BY 2014 Industry Forecasts of Mobile Data Traffic 50X 45X 45X 40X fic Relative to 2009 35X Cisco 30X Coda 25X Yankee Group 20X Average 15X 15X Traff 10X 5X * See Ericsson Press Release, quoting its President and Chief Executive Officer Hans Vestberg, April 13, 2010, available at 0X http://www.ericsson.com/thecompany/press/releases/2010/04/1403231 2009 2010 2011 2012 2013 2014 **. Federal Communications Commission, Staff Technical Paper, Mobile Broadband: The Benefits of Additional Spectrum, OB BI Technical Paper No. 6 (Oct. 2010).
ectrum Allocation in ectrum Allocation in the US the US
contrast... contrast... Large portions of spectrum is unu Large portions of spectrum is unu utilized utilized
namic Spectrum Acc namic Spectrum Acc cess (DSA) cess (DSA) PU 1 PU 3 Power PU 2 P PU 4 Frequency q y
namic Spectrum Acc namic Spectrum Acc cess (DSA) cess (DSA) PU 1 PU 3 Power PU 2 P PU 4 Frequency q y • Determine available spe ectrum ( white spaces )
namic Spectrum Acc namic Spectrum Acc cess (DSA) cess (DSA) PU 1 PU 3 Power PU 2 P PU 4 Frequency q y • Determine available spe ectrum ( white spaces ) • Transmit in “available fre equencies”
namic Spectrum Acc namic Spectrum Acc cess (DSA) cess (DSA) PU 1 PU 3 Power PU 2 P PU 4 Frequency q y • Determine available spe ectrum ( white spaces ) • Transmit in “available fre equencies” • Detect if primary user a appears
namic Spectrum Acc namic Spectrum Acc cess (DSA) cess (DSA) PU 1 PU 3 Power PU 2 P PU 4 Frequency q y • Determine available spe ectrum ( white spaces ) • Transmit in “available fre equencies” • Detect if primary user a appears • Move to new frequencie es
namic Spectrum Acc namic Spectrum Acc cess (DSA) cess (DSA) PU 1 PU 3 Power PU 2 P PU 4 Frequency q y • Determine available spe ectrum ( white spaces ) • Transmit in “available fre equencies” • Detect if primary user a appears • Move to new frequencie es • Adapt bandwidth and p • Adapt bandwidth and p ower levels ower levels
SR KNOWS Program SR KNOWS Program m (2005 …) m (2005 – …) 1: Ad hoc networking in TV white 1: Ad hoc networking in TV white e spaces e spaces DySPAN 2007, MobiHoc 2007, LANMAN DySPAN 2007, MobiHoc 2007, LANMAN Capable of sensing TV signals, hardware fun nctionality 2 I f 2: Infrastructure based networkin t t b d t ki ng (WhiteFi) (Whit Fi) Capable of sensing TV signals & microphone es, deployed in lab SIGCOMM 2008, SIGCOMM 2009 (Best 3: Campus-wide WhiteFi network k + geolocation D eployed on campus, and provide coverage e in MS Shuttles DySPAN 2010 (Top 3 paper), CoNEXT 2011 (Top 4: White spaces beyond TV spect trum Spectrum measurements to identify addition Spectrum measurements to identify addition nal white spaces nal white spaces
oblem Statement For a given region, which spectru For a given region, which spectru m bands are best to form DSA m bands are best to form DSA networks?
oblem Statement For a given region, which spectru For a given region, which spectru m bands are best to form DSA m bands are best to form DSA networks? Industrial/ Industrial/ /Business Radio /Business Radio GPS Radio ‐ navigation NASA Deep p Space Network Military Radars Fixed Service Satellites Maritime e Aviation …. Mobile Satellite Services Diverse set of primary licen nsees, different transmission schemes, covera h age regions etc… i t
ur Approach ur Approach Academics Regulators White Space devices Users Mi Mic crosoft ft Wireless Operators Clou ud Service … <$5,000
ur Approach ur Approach M Microsoft A Azure C loud Service <$5,000 $
ur Approach ur Approach M Microsoft A Azure C loud Service <$5,000 $ Local Station DATA Control Local Processing: Averaging, Sampling, Feature extraction
ur Approach ur Approach M Microsoft A Azure C loud Service <$5,000 $ Local Station DATA Control Local Processing: Averaging, Sampling, Feature extraction
ur Approach ur Approach M Microsoft Policy Makers DSA Users Re Visualize Azure A • Real ‐ time/History Occu Cmds C loud Service • User Signal Feature • User Signal Feature • Other Information… End User End User <$5,000 $ Local Station DATA Control Local Processing: Averaging, Sampling, Feature extraction
r Approach r Approach FCC Spectrum Fixed Spectrum Dashboard hb d Analyzer Measurements Mobile Spectrum Smart Visualizations Spectru um Occupancy Measurements
r Approach r Approach FCC Spectrum Fixed Spectrum Dashboard hb d Analyzer Measurements Mobile Spectrum Smart Visualizations Spectru um Occupancy Measurements
mo mo http://observatory.microsoftspect http://observatory.microsoftspect trum.com trum.com
e cases e cases Policy makers: Policy makers: Identify unused portions of spectru m, i.e. good for DSA Detect rogue transmissions g Identify locations of transmitters (in developing countries) White space devices: Dynamically consult with database t to decide spectrum for communicatio Academics/Researchers: Modeling the real world
ata-driven DSA: Syste ata driven DSA: Syste em Design em Design
ata-driven DSA: Syste ata driven DSA: Syste em Design em Design Transmitter Identifier Transmitter Identifier
ata-driven DSA: Syste ata driven DSA: Syste em Design em Design • Transmitter periodicity • Transmitter bandwidth Mobile transmitters ov • Transmitter Identifier Transmitter Identifier DSA Database DSA Database
ata-driven DSA: Syste ata driven DSA: Syste em Design em Design • Transmitter periodicity • Transmitter bandwidth Mobile transmitters ov • Transmitter Identifier Transmitter Identifier DSA Database DSA Database Second dary user
ata-driven DSA: Syste ata driven DSA: Syste em Design em Design • Transmitter periodicity • Transmitter bandwidth Mobile transmitters ov • Transmitter Identifier Transmitter Identifier DSA Database DSA Database Frequency? Second dary user
ata-driven DSA: Syste ata driven DSA: Syste em Design em Design • Transmitter periodicity • Transmitter bandwidth Mobile transmitters ov • Transmitter Identifier Transmitter Identifier DSA Database DSA Database Frequency? Freq. range X Freq. range Y Freq. range Z Freq. range Z Second dary user
ata-driven DSA: Syste ata driven DSA: Syste em Design em Design • Transmitter periodicity • Transmitter bandwidth Mobile transmitters ov • Transmitter Identifier Transmitter Identifier DSA Database DSA Database Frequency? Frequency X satisfies application Freq. range X requ uirements. Freq. range Y Transmit at frequency X. q y Freq. range Z Freq. range Z Second dary user
mmary mmary http://observatory.microsoftspectru p // y p m.com 6+ active stations, many more in the fu uture Please contact us if you are willing to hos st a station, or interested in analysis Exciting announcement coming next we Exciting announcement coming next we eek at WSRD workshop! eek at WSRD workshop! Ongoing Research Fast scanning algorithms (with MIT) Detecting unknown transmitters (with U UCSB) Space-Time-Frequency occupancy usin Space Time Frequency occupancy usin ng mobile spectrum measurements (with ng mobile spectrum measurements (with IIT-Delhi) DSA metric to identify spectrum most s suitable for DSA (with Stanford) …
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