基于自相似性的第三代移動通信分組域數(shù)據(jù)業(yè)務(wù)特性研究.pdf

1、Y1219433分類號TN92953密級重慶郵電大學(xué)碩士學(xué)位論文論文題目基于自相似性的第三代移動通信分組城數(shù)據(jù)業(yè)務(wù)特性研究英文題目CharacteristicsofPacketDataServicesin3GMobileTeiccommunicafionNetworkbasedOllSeIfSimilar碩士研究生壅壅塑學(xué)科專業(yè)垂籃墨焦皇墨毽——論文提交日期2QQZ生墨旦監(jiān)文答辯日期至璺QZ生魚旦論文評閱人亟焦＆蕉蕉重塞望魚叁堂答辯委員

2、會主席謝顯中教授重慶郵電大學(xué)2007年4月zo目重慶郵電大學(xué)碩士論文AbstractThe3”generationmobiletelecommunicationSOcalled30asanintegratedserviceprovidernotonlysuppliesvoiceservicebasedoncircuitswitch，butalsoincludesflexibleInternetaccess，streammultimedi

3、a，videophone，EmailandSOonHoweveritisaquiteroughworktoholdtheQoSrequirementincomplexandunpredictablewirelesscircumstancewithlimitresourceInordertoimprovetheperformanceandmanagethesystemefficientlythefirsturgentcaseistostu

4、dythecharacteristicofloadedservicesAtfirst，weintroducethetraditionaltrafficmodelsbasedonPoissonProcess，andthelowratetrafficmodelbasedonMarkovProcess，bothofwhichcannotwellcharacterthewidebanddatatrafncbecauseoftheirSRD(Sh

5、ortRangeDependence)andnonmemorizationdistributionHencethetraditionaltrafficmodehasbeentakenoverbysomenewapproachesandtheoriesSecond，selfsimilarhasattractedmuchmoreattentionasaleadingresearcht001Inchapter4，itisintroducedw

6、ithitsbackground，mathematicdescription，HurstparameterestimatorandsomeimportanttrafficmodelsbasedonsolfsimilarAlthoughtheresearchofselfsimilartrafficcharacteristicisdevelopingpositivelyithasbeennoticedgeneralywiththeselfs

7、imilarinfluenceonperformanceinpacketdatanetworksEspeciallywithincreasingdemandformobiledataservice，anurgentsubjectisthathowtoallocatewirelessnetworkproperlyBymeansofselfsimilartheoryandSelfis，somefurthercharacteristicofp

8、acketdataservicesof25Gisstudied，andthenareferencetrafficmodelforpacketdatain3Gbeginningtermisgiveninthisthesiswhichcanbenefitfornetworkallocation，optimismandperformancesimulationMeanwhile，thisthesisstudiestheactualdataco

9、llectedinChongqingUnicornTheresultsshowthattheaggregatedtrafficisaselfsimilarprocessinpacketswitchnetworkAndthestatisticaldistributionofsomeimportantparameterssuchasCPUandMemoryoccupyrate，aresimilarwiththeaggregatedtraff