基于模糊Q算法的认知无线电频谱分配策略分析

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1、AbstractWiththedevelopmentofwirelesscommunicationtechnology,especiallyinrecentyears,3Gand4Gtechnologyhasgraduallybeenapplicationandpopularizationofintelligentterminalequipment,peopledemandforhighspeeddatabusinessexponentially・Butthecurrentspectrumallocatedbythestate,spectrumresourcesdistributionunev

2、en,mostofthespectrumutilizationrateisverylow,moreoverthemobilespectrumisverycrowded,thatmakesthelackofspectrumresources.Inordertosolvethisproblem,peopleputforwardthecognitiveradiotechnology.Thispapermainlyfocusesontheresearchofcognitiveradiospectrumallocationtechnology,accordingtothetraditionalmetho

3、dcantrealizeselflearningcharacteristicsofspectrumallocation,usingfuzzyQalgorithmtobulidamodelforspectrumallocationprocess,aselflearningspectrumallocationmodelisestablished・Mainresearchresultsarelistedasfollows:1.buildingafuzzyQspectrumallocationmodelbasedonthestrategyofoverlay.Thatcognitiveuserscan

4、throughthestudyofexistingexperience,acceleratetheconvergencespeedofspectrumallocation.Simulationandcomparisonresultsshowthatthelearningalgorithmhashigherbandwidththanlearningalgorithmyields,andthesystemconflictprobabilityissmall.2.Aimattheproblemthatprimaryusersandcognitiveuserscannotcoexistintheove

5、rlaystrategies,establishedafuzzyQspectrumallocationmodelbasedonpowercontrol,namelytheunderlaymodeloffuzzyQspectrumallocationstrategy,throughthecognitiveusertransmissionpowercontroltoachievethepurposeofspectrumsharing.Thesimulationprovedthefeasibilityofthescheme.3.Comprehensivecomparisontheadvantages

6、anddisadvantagesofoverlaystrategiesandunderlaystrategy,putsforwardafuzzyQspectrumallocationalgorithmbasedonhybridstrategy,throughthetimelyswitchoverlayandunderlaytwostrategies,ensuretoobtaintheoptimalsystemofspectrumresources・Thesimulationresultsshowthatthespectrumallocationalgorithmbasedonhybridstr

7、ategyoffuzzyQsystembandwidthgainishigherthanothertwoalgorithms,andtheconflictprobabilityislowerthantheabovetwostrategies.KeyWords:fuzzyQ,overlay,underlay,hybridstrategy目录摘要IAbstractII目录IV第一章绪论11.1研究背景