简介：Basedonuser’sin-degreedistribution,traditionalrankingalgorithmsofuser’sweightusuallyneglecttheconsiderationsofthedifferencesamonguser’sfollowersandthefeaturesofuser’stweets.Inordertoanalyzethefactorswhichimpactonuser’sweight,undertheanalysisofthedatacollectedfromSINAMicroblognetwork,thispaperdiscoversthatuserinfluenceandactivedegreesarethedominantfactorsforthisissue.Theproposedalgorithmevaluatesuserinfluencebyuser’sfollowernumber,theinfluenceofuser’sfollowersandthereciprocitybetweenusers.User’sactivedegreeismodeledbyuser’sparticipationandthequalityofuser’stweets.Themodelsaretestedbydifferentdatagroupstoconfirmtheparametersforthefinalcalculation.Eventually,thispapercomparesthecomputationalresultswiththeuser’srankingordergivenbytheSINAofficialapplication.Theperformanceofthisalgorithmpresentsastrongerstabilityonthefluctuantrangeofthevalueofuser’sweight.

简介：Multi-cellmulti-usermultiple-inputmultiple-output(MC-MU-MIMO)isapromisingtechniquetoeliminateinter-userinterferenceandinter-cellcochannelinterferenceinwirelesstelecommunicationsystems.AsthelargenumberofusersinthesystemandthelimitednumberofsimultaneouslysupportableuserswithMC-MU-MIMO,itisnecessarytoselectasubsetofuserstomaximizethetotalthroughput.However,thefullycentralizeduserselectionalgorithmsusedinsinglecellsystem,whichwillincurhighcomplexityandbackhaulloadinmulti-cellcooperativeprocessing(MCP)systems,arenotsuitabletoMC-MU-MIMOsystems.ThisarticlepresentsatwocascadeduserselectionmethodforMCPsystemswithmulti-cellblockdiagonalization.Inthispaper,alocaloptimalsubsetofusers,whichcanmaximizethelocalsumcapacity,isfirstchosenbythegreedymethodineverycooperativebasestationinparallel.Then,allthecooperativebasestationsreporttheirlocaloptimaluserstothecentralunit(CU).Finally,theglobaloptimalusers,whichcanmaximizetheglobalsumcapacityofMCPsystems,areselectedfromtheaggregatedlocaloptimalusersattheCU.Thesimulationresultsshowthattheproposedmethodperformscloselytotheoptimalandcentralizedalgorithm.Meanwhile,thecomplexityandbackhaulloadarereduceddramatically.

简介：Duetothecapabilityofreflectingsocialperceptiononsemanticofresources,folksonomyhasbeenproposedtoimprovethesociallearningforeducationandscholarresearching.However,itsactualimpactissignificantlyinfluencedbythesemanticambiguityproblemoftags.So,inthispaper,weproposedanovelwayofdetectinghomonyms,oneofthemainsourcesoftag’ssemanticambiguityproblem,innoisyfolksonomies.Thestudyisbasedontwohypotheses:1)Usershavingdifferentintereststendtohavedifferentunderstandingofthesametag.2)Usershavingsimilarinteresttendtohavecommonunderstandingofthesametag.Therefore,wefirstlydiscoverusercommunitiesaccordingtousers’interests.Then,tagcontextsarediscoveredinsubsetsoffolksonomyonthebasisofusercommunities.Theexperimentalresultsshowthatourmethodiseffectiveandoutperformthemethodfindingtagcontextsusingalltagsinfolksonomywithoverlappingclusteringalgorithmespeciallywhenvarioususershavingdifferentinterestsarecontainedbythefolksonomy.

简介：Toavoidtheinaccurateestimationoftheactiveuser'snumberandthecorrespondingperformancedegradation,anovelPOR-basedUserIdentificationDetector(UID)isproposedfortheCodeDivisionMultipleAccess(CDMA)systems.ThenewdetectoradoptsthePowerofR(POR)techniqueandtheMultipleSignalClassification(MUSIC)method,whichdoesnotrequiretheestimationofactiveusers'number,andobtainslowerfalsealarmprobabilitythanthesubspace-basedUIDinthemultipathchannels.However,fromouranalysis,increasingtheordermdoesnotimprovetheperformance.Therefore,whenmisone,theperformanceofthenewdetectorismaximal.

简介：这篇文章在认知收音机基于收到的信号力量介绍经典定位方法并且提出认知收到收音机的信号力量(CR-RSS)解决找到主要用户的第二等的用户的问题并且成功估计主要用户的地点和传播力量的本地化算法。通过认知收音机网络的建立，在CR-RSS途径评估第二等的用户，采样和环境因素的数字到结果。后果证明这个途径罐头有效地找到主要用户，在认知无线电的本地化的技术能帮助网络优化。

简介：ToimproveuserexperienceofcompositeWebservices,auser-awarequalityofservice(QoS)basedWebservicescompositionmodelisproposed.Undersuchmodel,aWebservicesselectionmethodbasedonquantumgeneticalgorithmisproposed.Thisalgorithmusesquantumbitencoding,dynamicstep-lengthquantumgateangleadjustment,neighborhoodservicesearchanddynamicpunishmentstrategytoexpandsearchscopeandspeedupconvergence.SimulationexperimentshowsthatthisalgorithmismoreefficientthanotherexistingalgorithmsinWebservicesselection.

简介：为虚拟多输入多产量(VMIMO)的用户配对策略广泛地被学习了改进系统产量，但是大多数研究基于完美的隧道状态信息(CSI)和一致力量分配。然而，完美的CSI很困难或甚至不可能在实际系统获得。而且力量分配在算法性能上有重要影响。因此在这份报纸，一个低建筑群的关节用户基于好攻击的分离随机的优化和Lagrangian双答案配对和力量分配算法与有瑕疵的CSI为uplinkVMIMO被建议。模拟结果证明建议算法能完成理想的产量性能，并且高效地限制内部用户的干扰(IUI)。

简介：SocialtaggingisoneofthemostimportantcharacteristicsofWeb2.0services,andsocialtaggingsystems(STS)arebecomingmoreandmorepopularforuserstoannotate,organizeandshareitemsontheWeb.Moreover,onlinesocialnetworkhasbeenincorporatedintosocialtaggingsystems.AsmoreandmoreuserstendtointeractwithrealfriendsontheWeb,personalizeduserrecommendationserviceprovidedinsocialtaggingsystemsisveryappealing.Inthispaper,weproposeapersonalizeduserrecommendationmethod,andourmethodhandlesnotonlytheusers'interestnetworks,butalsothesocialnetworkinformation.Weempiricallyshowthatourmethodoutperformsastate-of-the-artmethodonrealdatasetfromLast.fmdatasetandDouban.

简介：在异例察觉，挑战是怎么为一个用户的动态行为建模。许多以前的工作基于固定长度模型代表用户行为。克服他们的缺点，我们与可变长度的序列的状态基于分离时间的Markov链(DTMC)建议一个新奇方法。方法第一产生不同长度的多重壳命令溪流并且把他们合为一般序列的图书馆。然后，状态根据一个有效用户的可变长度的行为的模式被定义，它改进用户介绍的精确和适应性。随后，转变概率矩阵被创造。以便减少计算复杂性，分类价值仅仅由转变可能性被决定，然后与滑动窗户变光滑，并且最后过去常在正常和反常行为之间区别。来自Purdue大学和AT&T香农实验室的数据集上的二实验评估证明建议方法能完成更高的察觉精确性并且比另外的传统的方法要求更少的存储器。

简介：Nowadays,thepassword-basedremoteuserauthenticationmechanismusingsmartcardisoneofthesimplestandconvenientauthenticationwaystoensuresecurecommunicationsoverthepublicnetworkenvironments.Recently,Liuetal.proposedanefficientandsecuresmartcardbasedpasswordauthenticationscheme.However,wefindthatLiuetal.’sschemeisvulnerabletotheoff-linepasswordguessingattackanduserimpersonationattack.Furthermore,italsocannotprovideuseranonymity.Inthispaper,wecryptanalyzeLiuetal.’sschemeandproposeasecurityenhanceduserauthenticationschemetoovercometheaforementionedproblems.Especially,inordertopreservetheuseranonymityandpreventtheguessingattack,weusethedynamicidentitytechnique.Theanalysisshowsthattheproposedschemeismoresecureandefficientthanotherrelatedauthenticationschemes.

简介：工作建议二新奇传播代码，叫的广泛的双orthogonal代码(EDOC)和灵活对直角的代码(FPOC)，为多用户downlink多重输入多重产量(MIMO)直角的频率部门multiplexing(OFDM)系统。代码图案的目标是获得改进小点错误率(BER)没有带宽效率的损失的性能。代码图案由采用多重天线在完成空格差异播送结束并且收到结束。代码相当被散布直到时间，频率和空间领域。建议代码漂亮地与长度灵活性被描绘，它打破二限制的力量。模拟结果显示建议代码改进全面BER性能，由利用空间差异获得。在代码长度的灵活性也导致高光谱效率。

简介：Apowerallocationschemeformulti-usermultiple-inputmultiple-outputorthogonalfrequencydivisionmultiplexing(MIMO-OFDM)systemswithchannelstateinformation(CSI)ontransmitterandreceiverispressed.Multi-userpowerallocationcanbedecoupledintosingleuserpowerallocationthroughoutnullspacemappingofmulti-userchannelandpowerallocationcanbeperformedthroughoutspatial-spectralwater-fillingforperuser.Todealwithmoreusersinsystemandfadingcorrelation,schedulingisperformedtomaintainthegainofpowerallocation.Theproposedschemecansubstantiallyimprovesystem'sspectralefficiencywithlowomplexity.Simulationresultsvalidatetheaccuracyoftheoreticanalyses.

简介：这篇文章基于新组限制建议改进概括方面脑叶canceller(GSC)接收装置结构，它是合适的消除多重存取的干扰(MAI)，在直接顺序的代码部门的内部标志的干扰(ISI)多重存取(DS/CDMA)downlink多用户系统。新组限制被推出构造组窗帘适应多用户察觉者。分析显示在新限制下面的改进GSC不仅保留压制ISI并且取消从成功的有用信息为需要的用户咬了的MAI，而且罐头摘录的性质。模拟证明改进GSC过滤器能高效地取消MAI无线隧道长度是否短或长，并且比其它完成更好的性能，比较了过滤器。

简介：Inordertominimizethetransmittedpowerinthemulti-userorthogonalfrequencydivisionmultiplexing(OFDM)system,aschemecombiningtheimprovedparticleswarmoptimization(POS)algorithmwithgeneticalgorithm(GA)isproposedtooptimizethesub-carriersandbitsallocation.Inthealgorithm,arandomvelocitybetweenthemaximumandminimumparticlevelocityisusedastheupdatingvelocityinsteadofmaximumorminimumvelocitywhentheupdatedparticlevelocityishigherthanthemaximumparticlevelocityorlowerthantheminimumparticlevelocity.Then,theconvergencepopulationisusedastheinitialpopulationofthegeneticalgorithmtooptimizethesubcarriersandbitsallocationfurther.Simulationresultsshowthatthetransmittedpoweroftheproposedalgorithmisabout2dBto10dBlowerthanthatofthegeneticalgorithm,particleswarmoptimizationalgorithm,andZhang’salgorithm.

简介：Three-layerAdaptiveBack-PropagationNeuralNetworks(TABPNN)areemployedforthedemodulationofspreadspectrumsignalsinamultiple-accessenvironment.Aconfigurationemployingthree-layeradaptiveBack-propagationneuralnetworksisputforwardforthedemodulationofspread-spectrumsignalsinasynchronousGaussianchannels.Thetheoreticalargumentsandpracticalperformancebasedontheneuralnetworksareanalyzed.Theresultsshowthatwhethertheresistancetothemultipleaccessinterferenceortherobusttonear-fareffects,theproposeddetectorsignificantlyoutperformsnotonlytheconventionaldetectorbutalsotheBPneuralnetworksdetectorandiscomparabletotheoptimumdetector.

简介：Thepapermainlystudiesthesum-rateperformanceoflimitedfeedback(LFB)block-diagonalization(BD)inmulti-userdistributedantennasystem(DAS).Asthechannelstateinformation(CSI)fedbacktobasestation(BS)islimited,multi-userinterference(MUI)iscausedinevitablybecauseofthequantizationerror.ConsideringtheinfluenceoftheMUItothecapacityofDAS,weproposeaparameterofeffectivesum-rateratio(ESRR)todenotethecapacityoffsetundertheconditionoftheBScangetperfectCSIandlimitedCSIfirst,thenweconfirmthattheapproximatedESRRisveryclosetoactualESRRgotthroughsimulations.Afterthat,basedontheapproximatedESRR,anadaptiveminimumbitfeedbackschemewhichcaneffectivelyreducetheoverheadoffeedbackchannelandthecomplexityofthesystemisproposed.Simulationresultsshowtheeffectivenessoftheproposedscheme.

简介：Two-dimensional(2D)multiple-inputmultiple-output(MIMO)iscurrentlyconcentratedonpropagationinhorizontalplane,buttheimpactofelevationangleisnotconsidered.However,duetothethree-dimensional(3D)characteroftherealMIMOchannel,2DMIMOcannotachievetheoptimalsystemthroughput.Amultiple-userMIMO(MU-MIMO)userpairingschemewasproposed,inwhichtheverticaldimensionwastakenintoconsideration.Intheproposedscheme,a3DcodebookbasedonfulldimensionMIMOchannelwasdesigned;thentwo3DMU-MIMOuser'spairingschemesareproposedcombiningtheproposedjointandseparate3Dcodebook.Simulationevaluatestheproposed3Dcodebookaideduserpairingschemeandcompareswiththeprevious2DMU-MIMOuserpairingtechnology.Owingtotheadditionalspatialdegreeoffreedominverticaldimension,theproposed3DMU-MIMOuserpairingschemescaneffectivelyimprovetheoverallsystemperformance.

简介：Inwirelesscellularnetworks,theinterferencealignment(IA)isapromisingtechniqueforinterferencemanagement.AnewIAschemefordownlinkcellularnetworkwithmulti-cellandmulti-userwasproposed.Intheproposedscheme,theinterferenceinthenetworksisdividedintointer-cellinterference(ICI)amongcellsandinter-userinterference(IUI)ineachcell.TheICIisalignedontoamulti-dimensionalsubspacebymultiplyingtheICIalignmentprecodingmatrixwhichisdesignedbythesingularvaluedecomposition(SVD)schemeatthebasestation(BS)side.ThealignedICIiseliminatedbytimingtheinterferencesuppressionmatrixwhichisdesignedbyzero-forcing(ZF)schemeattheuserequipment(UE)side.Meanwhile,theIUIisalignedbymultiplyingtheIUIalignmentprecodingmatrixwhichisdesignedbasedonNashbargainingsolution(NBS)ingametheory.TheNBSissolvedbytheparticleswarmoptimization(PSO)method.Simulationsshowthat,comparedwiththetraditionalZFIAscheme,theproposedschemecanobtainhigherdatarateandguaranteethedataratefairnessofUEswithlittleadditionalcomplexity.

简介：Orthogonalfrequencydivisionmultiplexing(OFDM)whichhasbeenadoptedinthelong-termevolution(LTE)systemcanimprovethesystemcapacityobviously.However,italsobringsaboutsevereinter-cellinterference(ICI)forcell-edgeusers(CEUs).Totacklethisproblem,multi-userselectionandpowercontrol(MuS-PC)isproposedasanefficientschemeinuplinkcoordinatedmulti-pointmulti-usermulti-inputmulti-output(CoMP-MU-MIMO)transmission/reception.Thispaperjointlyconsidersuser’ssignaltointerferenceplusnoiseratio(SINR)andproportionalfairness(PF)tomaximizethetotalchannelcapacityinmulti-userselectionbyformulatingapenaltyfunction.Tosimplifythepenaltyfunction’scomputation,particleswarmoptimization(PSO)algorithmisintroduced.Inaddition,powercontrolisadoptedtomaximizeoverallenergyefficiency.SimulationresultsdemonstratethattheMuS-PCschemecannotonlyobtaintheoptimaltotalchannelcapacitywhileguaranteeeachuser’squalityofservice(QoS)andPF,butalsolargelyreducecomputationalcomplexityandimproveenergyefficiency.Asaresult,thepoorcommunicationqualityofCEUscanbeenhanced.

简介：Coordinatedmulti-pointtransmission/reception(CoMP)wasproposedcurrentlyasaneffectivetechnologytoimprovecell-edgethroughputinnext-generationwirelesssystems.Mostoftheexistingworkdiscussedclusteringmethodsmostlytomaximizetheedgeuserthroughputwhileneglectingtheproblemofenergyefficiency,suchasthosealgorithmclusteringbasestations(BSs)ofbetterchannelconditionandBSsofworsechannelconditiontogether.Inaddition,BSsusuallyincreasethetransmitpowertoachievehigherthroughputwithoutanyconsideringofinterferencecausedtootherusers,thatmayresultinenergywaste.TheauthorsfocusonthethroughputmaximizingproblemwhilefullyconsideringenergysavingprobleminCoMPsystems.Acoefficientisdefinedtodescribethefitnessofclusters.Thenasub-carrierallocationalgorithmwithclusteringmethodisputforwardforCoMPdownlink,whichcansavethetransmitpowerofBSandincreasethethroughput.Furthermoreapowerallocationschemeisproposedbasedonnon-cooperationgame;inwhichthetransmitpowerisdecreasedbyBSsgenerallytoreachtheNashequation(NE).Simulationshowsthattheproposedsub-carrierallocationschemeandpowerallocationalgorithmarebetterthantheexistingonesonusers’throughputwhileconsumesmuchlessenergy.