基于ofdm的认知无线电资源分配算法的研究

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1、AbstractCognitiveRadiotechnologyallowsthesecondaryuserstosharethespectrumresourceswithprimaryusersbasedonthepremisethattheinterferenceintroducedtotheprimaryusersisnotserious.Thusthespectrumutilizationcanbeimproved.OFDMhashighcapabilitytoallocatefrequencyres

2、ourcesadaptively,soitcanbeappliedtoCognitiveRadio.Inthispaper,theresearchoncognitiveradioresourceallocationalgorithmsisbasedonOFDMtechnologywhichconsideringtheprimaryusers’interferencelimitationandthecognitiveusers’transmissionlimitation.Thespectrumutilizat

3、ioncanbefurtherimprovedbyoptimallyallocatethesubcarriersandthetransmitpowerofthesubcarrier.Thethesisfirstlyintroducesthecognitiveradio’sprincipleconcept,keytechnologiesandOFDM-basedcognitiveradio.Thenwemainlyresearchtheresourceallocationalgorithmbasedonthef

4、airnessamongsecondaryusersandthesubcarriermatchingandpowerallocationalgorithmsinrelayedOFDMbasedcognitivesystemrespectivelybothfromtheratemaximizationaspect.Weconsidertheproblemofthemaximizationofsecondaryusers’rateassumptionundertheinterferencepowerconstra

5、intatprimaryusers,thetransmitpowerconstraintofsecondaryusersandthefairnessamongthesecondaryusers.Anoptimalresourceallocationalgorithmandasuboptimalalgorithmthatreducesoperationalcomplexityaregiven.Simulationresultsshowthecorrectnessandeffectivenessoftheprop

6、osedalgorithms.Inthiswork,wealsoresearchedtheresourceallocationalgorithmsindecodeandforwardrelayedOFDMbasedcognitivesystem.Inviewofthecurrentalgorithmsrequirethecognitiveradiotransmitterhastheinstantaneouschannelstateinformation,weuseaprobabilisticmodelofin

7、terferencethresholdconstraintwhereinterferencecanbeguaranteedinastatisticmanner.Inthispaper,theproposedresourceallocationalgorithmrequirestheknowledgeofchannelfadingstatisticsinsteadofinstantaneouschannelgainamongthesecondaryusers’transmitterandprimaryusers

8、’receiver,thuseasedrestrictionsontherequirementsofthechannelestimation.Meanwhile,asuboptimalalgorithmthatreducestheoperationalcomplexityisalsogiveninthispaper.Simulationresultsshowthecorrectnessandeffe