简介:Large-scaleMIMO(multiple-inputmultiple-output)systemswithnumerouslow-powerantennascanprovidebetterperformanceintermsofspectrumefficiency,powersavingandlinkreliabilitythanconventionalMIMO.Forlarge-scaleMIMO,thereareseveraltechnicalissuesthatneedtobepracticallyaddressed(e.g.,pilotpatterndesignandlow-powertransmissiondesign)andtheoreticallyaddressed(e.g.,capacitybound,channelestimation,andpowerallocationstrategies).Inthispaper,weanalyzethesumrateupperboundoflarge-scaleMIMO,investigateitskeytechnologiesincludingchannelestimation,downlinkprecoding,anduplinkdetection.Wealsopresentsomeperspectivesconcerningnewchannelmodelingapproaches,advanceduserschedulingalgorithms,etc.
简介:Invideoinformationretrieval,keyframeextractionhasbeenrecognizedasoneoftheimportantresearchissues.Althoughmuchprogresshasbeenmade,theexistingapproachesareeithercomputationallyexpensiveorineffectiveincapturingsalientvisualcontent.Inthispaper,wefirstdiscusstheimportanceofkeyframeextractionandthenbrieflyreviewandevaluatetheexistingapproaches.Toovercometheshortcomingeoftheexistingapproaches,weintroduceanewalgorithmforkeyframeextractionbasedonunsupervisedclustring.Meanwhile,weprovideafeedbackchaintoadjustthegranularityoftheextractionresult.Theproposedalgorithmisbothcomputationallysimpleandabletocapturethevisualcontent.Theefficiencyandeffectivenessarevalidatedbylargeamountofreal-worldvideos.
简介:Identity-basedhashproofsystemisabasicandimportantprimitive.Ittographicschemesandprotocolsthataresecureagainstkey-leakageattacks.Inthisupdatableidentity-basedhashproofsystem,inwhichtherelatedmastersecretkeyiswidelyutilizedtoconstructcryp-paper,weintroducetheconceptofandtheidentitysecretkeycanbeupdatedsecurely.Then,weinstantiatethisprimitivebasedonlatticesinthestandardmodel.Moreover,weintroduceanapplicationofthisnewprimitivebygivingagenericconstructionofleakage-resilientpublic-keyencryptionschemeswithanonymity.Thisconstructioncanbeconsideredastheintegrationofthebounded-retrievalmodelandthecontinualleakagemodel.Comparedwiththeexistingleakage-resilientschemes,ourconstructionnotonlyismoreefficientbutalsocanresistmuchmorekeyleakage.
简介:提出一个联合传输速率、链路的传输时间和链路速率的网络利用最大化模型(NUM),并用对偶分解理论设计该问题的分布式算法。目标是为了得到传输层的最优的端到端的源速率,物理层的功率以及MAC层资源的最优分配,从而使网络利用率达到最大的同时使所有链路的功耗最小。通过仿真实验,验证算法的可行性,能达到预期的目标。