TV White Space Networking: Characteristics, Challenges, and Opportunities Mahbubur Rahman Department of Computer Science Wayne State University, Detroit, MI
TVWhiteSpaceNetworking:Characteristics,Challenges,andOpportunities
MahbuburRahmanDepartmentofComputerScience
WayneStateUniversity,Detroit,MI
TVWhiteSpaces• Refertoallocated butlocallyunused TVchannels
• Between54MHzand698MHzintheUS• TVchannelindex:2- 51• VHF(54-216MHz) andlowerUHF(470-698MHz)
• FederalCommunicationCommission(FCC)intheUS• Allowedunlicensedusein2008• Butnottointerfereprimaryusers
• Inothercountries• UKbyOfficeofCommunication(Ofcom)• CanadabyIndustryCanadaConsultation• SouthAfricabyCommunicationAuthority• Singapore,Kenya,Namibia,Argentina,etc.
2
Occupied
Whitespaces
Frequency(MHz)SignalStren
gth(dBm
)
TVWhiteSpace:FCCRegulations• OperationalRegulations• LicensedOperation• UnlicensedOperation• HybridOperation
• FCCallowsunlicensedoperations
• Unlicenseddevicecategory• Fixed• Personal/portable
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TVWhiteSpace:FCCRegulations• FixedDevice• Generallyplacedinoutdoorfixedlocations• Canusehighertransmissionpower• Sendsautomaticperiodicmessages
• Personal/portableDevice• Canbemobileandchangelocations• Usuallyuseslowertransmissionpower• Twooperationalmodes• ModeI (dependent)andModeII (independent)
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Fixeddevice
Personal/portabledevice
TVWhiteSpace:FCCRegulations• AccessRegulations• TellshowtodetermineunoccupiedandoccupiedTVchannels
• 3Methods• Geo-locationDatabaseApproach• ControlSignalApproach• SpectrumSensing/listeningApproach
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InternetLocation
Available channels
White Space Database
TVWhiteSpace:FCCRegulations
Attributes FixedDevicePersonal/portable Device
ModeI(ClientMode) ModeII(Independent)
Database Access ✓ X ✓
SpectrumSensing X X X
SensingThreshold -84 dBm -114 dBm -114 dBm
Tx Power 1Watt(30 dBm) 100mWatt (20dBm) 100mWatt (20dBm)
Antenna Height <30Meters N/A N/A
6
TVWhiteSpace:Opportunities• TVwhitespacecanenableseveralapplications• Lowcostandcomplexity
• Sensing&MonitoringApplications• Urbansensing,Environmental/habitatmonitoring,Oilfiledmonitoring,etc.
7ASensing&Monitoringnetwork(source:GreenOrb)
TVWhiteSpace:Opportunities• AgriculturalIoT Applications• Needsdata-drivendecisions• Temperature,humidity,waterlevel,etc.• Microsoft,ClimateCorp.,AT&T,Monsantoaretakinginitiatives
8SmartAgriculture(Source:AgfunderNews)
TVWhiteSpace:Opportunities• SmartandConnectedCommunityApplications• Promisetoaddresstheneedsofthepast,present,andfuture• Wirelessbroadbandaccess,publicsafety,etc.• Microsoft,Googlearealreadyadoptingwhitespaces.
9WirelessBroadbandAccess(Source:ArsTechnica)
TVWhiteSpace:Opportunities
• Real-timeApplications• TVwhitespacehaspotentialtosupportlarge-scalereal-timeCPS(Cyber-physicalsystems)applications• Industrialprocesscontrol• Datacenterpowermanagement• Civilinfrastructurecontrol,etc.
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Industrialprocesscontrol(oiltankmonitoring)
Controller
Valve
TVWhiteSpace:Opportunities
• SmartUtilityNetwork(SUN)Applications• Promisesefficientmanagementofelectricity,naturalgas,water,andsewage.• AdvancedMeteringInfrastructure(AMI)
11SmartWaterManagement(source:AllianceofWaterUtility)
TVWhiteSpace:Characteristics• TraditionalWirelessNetworkTechnologies• IEEE802.15.4,Wi-Fi,Bluetooth
• TraditionalNetworks:shortrangeàmulti-hoptopology• Complexprotocols,energyandlatencyoverhead
12IEEE802.15.4basedmeshnetworktopology
TVWhiteSpace:Characteristics• TVwhitespaceshavelongercommunicationrange• 𝒅𝒊𝒔𝒕𝒂𝒏𝒄𝒆 ∝ 𝟏 𝒇𝒓𝒆𝒒𝒖𝒆𝒏𝒄𝒚1 [fromFriss’Equation]
13Singlehopnetworkarchitecture
Receivedpower
Transmitpower
Transmittergain
Receivergain Speedoflight
distancefrequency
TVWhiteSpace:Characteristics• TVwhitespacescanpenetrateobstacles• Lowerfrequencyà longerwavelength• TVfrequency:wavelengthbetween43-59cm• Caneasilypenetratebuildingwallsandtrees
14Singlehopnetworkarchitecture
TVWhiteSpace:Characteristics• SpectrumAvailability• Largeinnumbercomparedto2.4GHzand5GHzbands• 2.4– 2.5GHz(2.4GHzband),5.725-5.875GHz(5GHzband)• 47TVchannels(54-698MHz)
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Whitespaceavailabilityatdifferentnumberofcounties(inUS)basedondatafromSpectrumBridge
database
TVWhiteSpace:Characteristics• Higherbitrate• AsingleTVchannelcanprovideupto21Mbps[Bahl etal.,SIGCOMM‘09]• OperatingonN channelscanboostthebitrateN-times• IEEE802.15.4maximumallowablebitrateis250kbps• Someapplicationsdemandhigherbitrate• E.g.,VolcanoMonitoringrequirehighbitrate
• Samplingperiod:100kHz• Eachsample:24bitsresolution
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TVWhiteSpace:StandardizationEfforts
17
WorkGroup Focus Agenda
IEEE802.22 WirelessRegionalNetwork (WRAN) CognitiveMedium AccessControl(MAC)layerandPhysicallayer(PHY)
IEEE802.11af WirelessLocalAreaNetwork (WLAN) MAC layerandPHY layer
IEEE802.15.4m Low-RateWireless PersonalAreaNetwork(LR-PAN) MAClayerandPHY layer
IEEE 802.19.1 WirelessCoexistenceGroup Coexistence methodsinwhitespace
IEEE1900.4a,1900.4.1
Heterogeneous MobileWirelessNetworks
Enabledistributedheterogeneous wirelessmobileservices
IEEE1900.7 RadioInterface forDynamicTVWSAccess Developradiointerface withMACandPHYlayer
TVWhiteSpace:Protocols• IndustriesarealreadyadoptingTVwhitespaces• WirelessBroadbandAccess(bothMicrosoftandGoogleinAfrica)• AgriculturalIoT (MicrosoftFarmBeats project)
• Researchcommunityisalsodevelopingprotocols
• Protocolsforwhitespacenetwork• TVwhitespacedetectionprotocols• Networkingprotocols
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TVWhiteSpace:DetectionProtocols
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Protocols TVWSAccess Location Mobility Security Applications
KNOWS[Yuanetal.,DySPAN ‘07]
Sensing+Database
Indoor/Outdoor ✓ X Indoor/outdoorTVWS
detection
SenseLess[Murty etal., TMC’12] Database Outdoor ✓ X OutdoorTVWS detection
WISER[Yingetal., MobiCom
‘13]
Sensing+Database Indoor ✓ X IndoorTVWSdetection
WINET[Zhang etal.,INFOCOM
’15]
Sensing+Database Indoor ✓ X IndoorTVWSdetection
TVWhiteSpace:NetworkingProtocols
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Protocols TVWSAccess Location Mobility Security Applications
CR-S[Ahujaetal.,DySPAN
‘08]
Sensing+Database
Indoor/Outdoor ✓ ✓ Sensing&Monitoring,IoT
WhiteFI[Bhal etal.,SIGCOMM
‘09]
Sensing+Database
Indoor/Outdoor ✓ X Wireless broadbandaccess
WhiteNet[Fengetal.,DySPAN ‘11]
Sensing+Database
Indoor/Outdoor ✓ X Wirelessbroadband access
SNOW[Rahmanetal., SenSys
’16,17]Database Indoor/
Outdoor X X Sensing &Monitoring,IoT
TVWhiteSpace:Challenges&Directions• Newchallengesforwirelesssensornetworks (WSNs)• WSNsaremainlyfordatacollection(many-to-onecommunication)• Whitespaces:multi-hopà singlehopàmoreconflictatBS(basestation)• LongrangeàmorehiddenterminalsàmorecollisionsatBS• WSNsneedscalabilityandenergyefficiency
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AB
C D
E
F
• WhileAtransmits,B,C,andDcannottransmitandhavetoback-off.
• E,Fcanbehiddenterminalsandthuswillcollideiftransmitatthesametime
• Needefficientmediumaccesslayer(MAC)andphysicallayer(PHY)solutions
ConflictandcollisioninsinglehopWSN
TVWhiteSpace:Challenges&Directions• Whatwehavedonefor wirelesssensornetworks (WSNs)• SNOW[Rahmanetal.,SenSys ‘16,17]• D-OFDM(DistributedOrthogonalFrequencyDivisionMultiplexing)basedphysicallayerthatenablesparallelTx/Rx• HiddenterminalawareCSMA/CA(CarrierSenseMultipleAccess/CollisionAvoidance)mediumaccesscontrollayer• Scalableandenergyefficient
InternetLocation
Available channels
f1 f2 f3 fnf4 …
…
White SpaceDatabase
Nodes
BS
22SNOWarchitecture
TVWhiteSpace:Challenges&Directions• Newchallengesforwirelesssensornetworks (WSNs)• CoexistenceofhomogeneousWSNs• SpectrumsharingbetweenWSNs• HandlinginterferencebetweenWSNs
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Possiblecoexistencescenarioinhomogeneous(SNOW)networks
TVWhiteSpace:Challenges&Directions• Whatwehavedoneforcoexistenceisssue• SOP[Rahmanetal.,IoTDI ‘18]• Trade-offbetweenscalabilityandinterference• Enablesconcurrentinter-SNOWandintra-SNOWcommunications
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Possiblecoexistencescenarioinhomogeneous(SNOW)networks
TVWhiteSpace:OpenChallenges&Directions
•Manyotherchallengesthatneedtoaddressedingeneral
• Interferencebetweenprimaryandsecondaryusers• Longercommunicationrangeàmoreinterferencetoprimaryusers(Specially,ifoperatingneararestrictedarea)• ReduceTransmission(Tx)powerà Reducecommunicationrangeà reducedthroughput• Trade-offbetweenTx powerandQualityofservice(QoS)
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TVWhiteSpace:OpenChallenges&Directions• FragmentationofTVwhitespaces• Presentsdiscontinuityinspectrum• Existingnetworkingprotocolsmaynotbeabletousefragmentedspectrum• Needtobeverycarefulaboutincumbentsinbetween• Neednewphysicallayerandmediumaccesslayersolutions(likeSNOW?)
26Dataonfragmentedspectrum(source:WhiteFi [Bhal etal.,SIGCOMM’09])
TVWhiteSpace:OpenChallenges&Directions• TemporalandSpatialvariations• NeedtooperateondifferentTVwhitespacesatdifferenttimesandplaces• Willhurtseamlessoperation• Criticaltoreal-timeapplications• Needcognitiveradiosolutions
27TemporalandspatialvariationsofTVwhitespaces(source:WISER[Yingetal.,MobiCom ‘13]
TVWhiteSpace:OpenChallenges&Directions• Scarcityandfutureadaptation• Whitespaceavailabilitydiffersinurban,suburban,andruralareas.• WhoknowsaboutFCC’splan?• Maketheprotocolscompatibleforotherfrequencybands
• Antennadesign• Lowerfrequencyà largerantenna• Antennasizeà atleastone-tenthofwavelengthforefficientreception• BetterQualityofservice(QoS)àMultipleantennas• Antennasneedtobeapartbyhalfofwavelength• Reduceantennaformfactor
28
TVWhiteSpace:OpenChallenges&Directions• VariableBandwidth
• Howtoenablemany-to-onecommunicationwithvariablebandwidthsupport?• Noprotocolsexist.
• Mobility• FCCrules:needtocheckwhitespacesevery100mmove• Vehicle-to-vehiclecommunication• HowtolookforTVwhitespaces?• HowtoaddressDopplereffect?
• Security• Longerrangeà highersecurityvulnerability• Sniffing,spoofing,man-in-the-middle attacksmaynotbeviableforshortrangeprotocols• Possibleisolationofnodesinlongcommunicationrange• Dotheexistingsecurityprotocolssuffice?
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Conclusion• We’velookedintoTVwhitespaces
• Devicetypes• Regulations
• OpportunitiesofTVwhitespaces• Canenablevariouslow-powerwide-areanetworkingapplications• Havebenefitingcharacteristics(longrange,availability,highbitrate)
• TVwhitespaceprotocols• Standardizationefforts• Detectionandnetworkingprotocols
• Challengesanddirections• Scalability• Coexistenceandinterference• Fragmentation,temporalvariation,andspatialvariation• Variablebandwidth• Mobility• Security.
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References
• Saifullah, A., Rahman, M., Ismail, D., Lu, C., Chandra, R. and Liu, J., 2016, November. SNOW:Sensor network over white spaces. In Proceedings of the 14th ACM Conference on EmbeddedNetwork Sensor Systems CD-ROM (pp. 272-285). ACM.
• Saifullah, A., Rahman, M., Ismail, D., Lu, C., Liu, J. and Chandra, R., 2017, November. Enablingreliable, asynchronous, and bidirectional communication in sensor networks over white spaces. InProceedings of the 15th ACM Conference on Embedded Network Sensor Systems. ACM.
• Rahman, M. and Saifullah, A., 2018, April. Integrating Low-Power Wide-Area Networks in WhiteSpaces. In Internet-of-Things Design and Implementation (IoTDI), 2018 IEEE/ACM ThirdInternational Conference on (pp. 255-260). IEEE.
• Saifullah, A., Rahman, M., Ismail, D., Lu, C., Liu, J. and Chandra, R., 2018. Low-Power Wide-AreaNetwork Over White Spaces. IEEE/ACM Transactions on Networking, 26(4), pp.1893-1906.
• Rahman, M. and Saifullah, A., 2018. A Comprehensive Survey on Networking over TV WhiteSpaces. arXiv preprint arXiv:1810.07120.