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1、Thisarticlehasbeenacceptedforinclusioninafutureissueofthisjournal.Contentisfinalaspresented,withtheexceptionofpagination.IEEETRANSACTIONSONWIRELESSCOMMUNICATIONS,ACCEPTEDFORPUBLICATION1Spatial-TemporalOpportunityDetectionforSpectrum-HeterogeneousCognitiveRadioNetworks:Two-DimensionalSensingQihui
2、Wu,Member,IEEE,GuoruDing,StudentMember,IEEE,JinlongWang,Member,IEEE,andYu-DongYao,Fellow,IEEEAbstractThispaperinvestigatestheissueofspatial-temporalwhereaspectrumholeoropportunityexists[2].Spectrumopportunitydetectionforspectrum-heterogeneouscognitiveradiosensing[3]isknowntobethekeytechnologyfor
3、identifyingnetworks,whereatagiventimesecondaryusers(SUs)attheopportunity.Generally,atemporalopportunityisatimedifferentlocationsmayexperiencedifferentspectrumaccessop-periodwhentheprimarysignalisabsentandaspatialopportu-portunities.Mostpriorstudiesaddresseitherspatialortemporalsensinginisolation
4、andexplicitlyorimplicitlyassumethatallSUsnityisageographicalareawhereSUislocatedfarawayfromsharethesamespectrumopportunity.However,thisassumptionthePU.Mostpreviousstudiesaddresseithertemporal[4]–isnotrealisticandthetraditionalnon-cooperativesensing(NCS)[7]orspatialspectrumsensing[8]–[10]andassum
5、ethatandcooperativesensing(CS)schemesarenotveryeffectiveinallSUshavethesamespectrumopportunity.Whereasinamorerealisticsettingconsideringtheheterogeneousspectrumpracticalsystems,spectrum-heterogeneity[11]amongSUsisavailabilityamongSUs.Wedefinenewperformancemetricstoguidethespatial-temporalopportun
6、itydetectionandproposecommonsinceatagiventime,SUsatdifferentlocationsatwo-dimensionalsensing(TDS)frameworktoimprovethemayexperiencedifferentspectrumaccessopportunities.Theopportunitydetectionperformance,whichexploitscorrelationsdetectionofheterogeneousspectrumopportunitiesremainsaintimeandspaces
7、imultaneouslybyeffectivelyfusingsensingsignificantchallengeduetotherequirementofintegratingtheresultsinaspatial-temporalsensingwindow.Furthermore,inlocationandtimeconsiderationswithspectrumsensing[10].termsofmaximuminterferen
