Mike Cotton (NTIA Boulder) for Microsoft Spectrum Observatory Think Tank Meeting (Redmond, WA)

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Presentation transcript:

Mike Cotton (NTIA Boulder) for Microsoft Spectrum Observatory Think Tank Meeting (Redmond, WA)

Outline ●Background ●Project Goals, Plan, and Deliverables ●Sensor Design(s) ●Data Transfer Specification ●Measured Spectrum Occupancy Database (MSOD) ●Q&A

Background ●ISART 2010 and 2011 ●Measure of 3.5 GHz band near San Diego (June 2012) ●Present Data at ISART 2012  Proposed SOW ●NTIA Spectrum Monitoring Initiative with NOI – Did not pass in Dec 2013 Congressional Budget ●NTIA-Funded FY14/15 Spectrum Monitoring Program (Started March 2014)

Project Goals 1.To determine benefits of automated and continuous spectrum measurements to better analyze actual spectrum usage. 2.To evaluate whether a more comprehensive monitoring program would create additional opportunities for more efficient spectrum access through, for example, increased and more dynamic sharing.

FY14 Project Plan ●Design and implement a Measured Spectrum Occupancy Database (MSOD) ●Assess RF performance and programmability of available mid-, low-, and ultralow-grade COTS sensors ●Design prototype radar sensor ●Design prototype comm sensor ●Demonstrate end-to-end functionality with data from remote sensors made available to authorized users via MSOD over the internet

FY15 Project Plan ●Deploy 10 x 3.5 GHz Sensors at Coastlines of U.S. Littoral Waters - AND/OR – ●Setup a Monitoring Network for the Spectrum Test City MSOD

RFC MFMF IP Network RFC MFMF C MFMF C MFMF C MFMF Sensor 1 Sensor 2 Sensor 3 Sensor 4 Sensor N NTIA Spectrum Monitoring Network MFMF IP Internet Modem/Firewall and Data Staging Station Measured Spectrum Occupancy Database (MSOD) Authorized Users NTIA/ITS Boulder

Sensor Design(s) Starting Point - Broadband Surveys

Sensor Design(s) Development Tasks ●Create cost/capability matrix of high-, mid-, low-, and ultralow-grade COTS sensors ●Limit scope of sensor design to a frequency/service proximity and design to appropriate requirements ●Replace spectrum analyzer with appropriate COTS sensor ●Implement remote control and data backhaul

Sensor Design(s) General Architecture Preselector Example Site Requirements for 3.5 GHz Sensor: 180⁰ Filed of View of Ocean/Gulf AC Power: (1 A) Shelter: Driver, COTS sensor, and modem are not weatherproof Access to Outside to run 30’ RF and Ethernet cables Structure outside shelter for mounting antenna and preselector Driver COTS Sensor Modem IP Network

Sensor Design(s) Requirements ●Appropriate antenna parameters for the band/service to be monitored, e.g., frequency range, polarization, pattern, &c ●Preselector requirements:  Cost less than chosen COTS sensor  Weatherproof  Perform local calibration/self-check  Achieve adequate sensitivity and avoid non linear behavior (e.g., due to strong out-of-band emissions) ●Driver/COTS sensor requirements:  Execute scheduled measurements with appropriate sampling (e.g., timing, frequency, and bandwidth)  Provide indication of “SIGNAL IS TOO STRONG”  Achieve reasonable amplitude accuracy, e.g, +- 1 dB  Process data to (1) Implement optimal detection, (2) Remove systematic sensor- specific gains/losses, and (3) Format according to data transfer specification  Store data locally and move to data staging server when network is available

Common Transfer Specification { "Ver": "1.0.11", "Type": "Data", "SensorID": "Norfolk", "SensorKey": " ", "t": , "Sys2Detect": "Radar - SPN43", "Sensitivity": "Medium", "mType": "Swept-frequency", "t1": , "a": 1, "nM": 1, "Ta": 0, "OL": 0, "wnI": , "Comment": "System installed at…", "Processed": "False", "DataType": "ASCII", "ByteOrder": "Network", "Compression": "None", "mPar": { "RBW": , "fStart": , "fStop": , "n": 200, "td": 5, "Det": "Positive", "Atten": 18, "VBW": } [ , , , , , …] { "Ver": "1.0.11", "Type": "Loc", "SensorID": "Norfolk", "SensorKey": " ", "t": , "Mobility": "Stationary", "Lat": XX.XX, "Lon": -XX.XX, "Alt": XX, "TimeZone": "America/New_York" } { "Ver": "1.0.11", "Type": "Sys", "SensorID": "Norfolk", "SensorKey": " ", "t": , "Antenna": { "Model": "Alpha AW3232/Sector/Slant", "fLow": , "fHigh": , "g": 15, "bwH": 120, "bwV": 7, "AZ": 0, "EL": 0, "Pol": "Slant", "XSD": 13, "VSWR": -1, "lCable": 2 }, "Preselector": { "fLowPassBPF": , "fHighPassBPF": , "fLowStopBPF": , "fHighStopBPF": , "fnLNA": 1.34, "gLNA": 43.29, "pMaxLNA": 27.29, "enrND": }, "COTSsensor": { "Model": "Agilent E4440A", "fLow": 3, "fHigh": 2.65e+10, "fn": 22, "pMax": 0 }, JSON format with version control, two- factor authentication, and time stamp Sys messages (blue) describe sensor hardware and can contain cal data Loc messages (red) describe sensor location Data Messages (green) contain data and data description

Applications for Spectrum Monitoring ●Informing Spectrum Policy - Historical amplitude data, course metrics (e.g., daily mean band occupancy), confidence limits ●Coordinating Spectrum Usage – Low latency amplitude data, temporal statistics of channel usage (e.g., mean renewal time) ●Enforcement – Low latency amplitude and phase data, Location/direction finding

Architecture Diagram

MSOD Parameters LayerCategory/MetricITS/ITL MSOD Data Collection Time Resolution1 millisecond Frequency RangeTarget band(s) specified in advance LatencyAcquisition mode: 10 s Streaming mode: <1 s Calibration DataAccepted Data Presentation ChartsSpectrogram with zoom Mean Band Occupancy over long time ranges Power vs time Power vs frequency Time ScaleWeek(s), day, 10 s

Contact Information and References Michael Cotton )NOI Comments on NTIA Spectrum Monitoring Pilot ProgramNOI Comments on NTIA Spectrum Monitoring Pilot Program 2)Cotton and Dalke, “Spectrum Occupancy Measurements of the MHz Maritime Radar Band Near San Diego,” NTIA Report TR , Jan 2014.Spectrum Occupancy Measurements of the MHz Maritime Radar Band Near San Diego 3)Sanders, Ramsey, and Lawrence, “Broadband Spectrum Survey at San Diego, CA,” NTIA Report TR , Dec 1996.Broadband Spectrum Survey at San Diego, CA

NOI Collaboration Tasks ●Consult with Federal agencies to determine technical parameters and sensitivity of data. ●Consult with OSM to prioritize frequency bands, sensor locations, coverage criteria, and monitoring requirements. ●Enable private sector and spectrum managers to deploy data collection/dissemination systems. ●Make available criteria, requirements, parameters, designs, interfaces, software, data sets and other information in each phase of the project. ●Make available data for spectrum community to investigate feasibility of new spectrum access schemes. ●Seek recommendations on whether to continue and expand the program.