ofdm自适应资源分配技术的研究

ofdm自适应资源分配技术的研究

ID:34030019

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页数:73页

时间:2019-03-03

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1、AbstractBecauseofitsexcellentperformance,OFDMtechnologyiswidelyusedinvariousfieldsofwirelesscommunications.Ithastheadvantagesoflowcomplexity,highimplementationalflexibility,highfrequencyefficiency,strongrobusttoanti-frequencyselectivefading,andsoon.Accordingtorequiresoftheservicesandthereal-ti

2、mechannelconditions,theOFDMadaptiveresourceallocationtechniquecanallocatesub-carriers,bitsandpoweradaptivelytoimprovethesystemperformance.Therefore,thisarticlemainlyresearchesontheOFDMadaptiveresourceallocationtechnique.Firstly,weintroducethetheoreticalknowledgeoftheradiochannelcharacteristics

3、andOFDMtechnology.Basedonthesetheoreticalknowledges,webuildasimulationsystemforOFDMadaptiveresourceallocationsimulationintheMatlabenvironment.Secondly,thearticledescribesthetheoreticalknowledgeoftheOFDMadaptiveresourceallocationandmakessimulationsofclassicadaptiveresourceallocationalgorithms.F

4、inally,weproposealowcomplexitybuthighperformancemulti-useradaptiveresourceallocationalgorithmnamedBABS-ACG-Campelloalgorithm.Wemakedetailtheoreticalanalysesoftheproposedalgorithmincomplexityandconvergencespeed,andthenwemakesimulationsandanalysesofthefairnessoftheproposedalgorithm.Wealsopresent

5、theuser’ssub-carrier,bitandpowerallocationsimulationresultsofBABS-ACG-Campelloadaptiveresourceallocationalgorithm.Bymakingcomparisonstooptimalmulti-useradaptiveresourceallocationoptimalalgorithmincomplexity,convergencespeedandbiterrorrate,wedrawtheconclusionthattheproposedalgorithmhastheadvant

6、agesofgoodfairness,highconvergencespeedandlowcomputationcomplexity,andthattheproposedlowcomplexityalgorithmsofferscomparableperformancewiththeoptimalalgorithm.Keyword:OFDMAdaptiveresourceallocationBABSACGCampello目录第一章绪论...........................................................................

7、..........................................11.1研究背景...............................................................................................................................11.2OFDM自适应资源分配研究进展........................................

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