MachineLearningandWirelessCommunications How can machine learning help the design of future communication networks, and how can future networks meet the demands of emerging machine learning applica- tions?Discovertheinteractionsbetweentwoofthemosttransformativeandimpactful technologiesofourageinthiscomprehensivebook. First,learnhowmodernmachinelearningtechniques,suchasdeepneuralnetworks, can transform how we design and optimize future communication networks. Acces- sible introductions to concepts and tools are accompanied by numerous real-world examples, showing you how these techniques can be used to tackle longstanding problems. Next, explore the design of wireless networks as platforms for machine learningapplications.Anoverviewofmodernmachinelearningtechniquesandcom- municationprotocolswillhelpyoutounderstandthechallenges,whilenewmethods anddesignapproacheswillbepresentedtohandlewirelesschannelimpairmentssuch asnoiseandinterference,tomeetthedemandsofemergingmachinelearningapplica- tionsatthewirelessedge. Yonina C.Eldar is a professor of electrical engineering at the Weizmann Institute of Science,wheresheheadstheCenterforBiomedicalEngineeringandSignalProcess- ing.SheisalsoavisitingprofessoratMassachusettsInstituteofTechnologyandthe BroadInstituteandanadjunctprofessoratDukeUniversity.Sheisamemberofthe IsraelAcademyofSciencesandHumanities,anIEEEfellow,andaEURASIPfellow. Andrea Goldsmith is the Dean of Engineering and Applied Science and the Arthur LeGrand Doty Professor of Electrical Engineering at Princeton University. She is a memberoftheUSNationalAcademyofEngineeringandtheAmericanAcademyof ArtsandSciences.In2020,shereceivedtheMarconiPrize. DenizGündüzisaprofessorofinformationprocessingintheElectricalandElectronic EngineeringDepartmentofImperialCollegeLondon,whereheservesastheDeputy Head of the Intelligent Systems and Networks Group. He is also a part-time faculty memberattheUniversityofModenaandReggioEmilia. H. Vincent Poor is the Michael Henry Strater University Professor at Princeton University. He is a member of the US National Academy of Engineering and the USNationalAcademyofSciences.In2017,hereceivedtheIEEEAlexanderGraham BellMedal. Published online by Cambridge University Press Published online by Cambridge University Press Machine Learning and Wireless Communications Editedby YONINA C. ELDAR WeizmannInstituteofScience ANDREA GOLDSMITH PrincetonUniversity DENIZ GÜNDÜZ ImperialCollege H. VINCENT POOR PrincetonUniversity Published online by Cambridge University Press UniversityPrintingHouse,CambridgeCB28BS,UnitedKingdom OneLibertyPlaza,20thFloor,NewYork,NY10006,USA 477WilliamstownRoad,PortMelbourne,VIC3207,Australia 314–321,3rdFloor,Plot3,SplendorForum,JasolaDistrictCentre,NewDelhi–110025,India 103PenangRoad,#05–06/07,VisioncrestCommercial,Singapore238467 CambridgeUniversityPressispartoftheUniversityofCambridge. ItfurtherstheUniversity’smissionbydisseminatingknowledgeinthepursuitof education,learning,andresearchatthehighestinternationallevelsofexcellence. www.cambridge.org Informationonthistitle:www.cambridge.org/9781108832984 DOI:10.1017/9781108966559 ©CambridgeUniversityPress2022 Thispublicationisincopyright.Subjecttostatutoryexception andtotheprovisionsofrelevantcollectivelicensingagreements, noreproductionofanypartmaytakeplacewithoutthewritten permissionofCambridgeUniversityPress. Firstpublished2022 PrintedintheUnitedKingdombyTJBooksLimited,PadstowCornwall AcataloguerecordforthispublicationisavailablefromtheBritishLibrary. LibraryofCongressCataloging-in-PublicationData Names:Eldar,YoninaC.,editor. Title:Machinelearningandwirelesscommunications/editedbyYoninaC.Eldar, WeizmannInstituteofScience,AndreaGoldsmith,PrincetonUniversity, DenizGündüz,ImperialCollege,H.VincentPoor,PrincetonUniversity. Description:Firstedition.|Cambridge,UnitedKingdom;NewYork,NY: CambridgeUniversityPress,2022.|Includesbibliographicalreferencesandindex. Identifiers:LCCN2021063108(print)|LCCN2021063109(ebook)| ISBN9781108832984(hardback)|ISBN9781108966559(epub) Subjects:LCSH:Wirelesscommunicationsystems.|Machinelearning.| BISAC:TECHNOLOGY&ENGINEERING/Signals&SignalProcessing Classification:LCCTK5103.2.M31562022(print)|LCCTK5103.2(ebook)| DDC621.382–dc23/eng/20220318 LCrecordavailableathttps://lccn.loc.gov/2021063108 LCebookrecordavailableathttps://lccn.loc.gov/2021063109 ISBN978-1-108-83298-4Hardback CambridgeUniversityPresshasnoresponsibilityforthepersistenceoraccuracy ofURLsforexternalorthird-partyinternetwebsitesreferredtointhispublication anddoesnotguaranteethatanycontentonsuchwebsitesis,orwillremain, accurateorappropriate. Published online by Cambridge University Press Toourfamilies. Published online by Cambridge University Press Published online by Cambridge University Press Contents ListofContributors pageix Preface xiii 1 MachineLearningandCommunications:AnIntroduction 1 DenizGündüz,YoninaC.Eldar,AndreaGoldsmith,andH.VincentPoor PartI MachineLearningforWirelessNetworks 2 DeepNeuralNetworksforJointSource-ChannelCoding 23 DavidBurthKurka,MilindRao,NarimanFarsad,DenizGündüz,andAndreaGoldsmith 3 NeuralNetworkCoding 55 LitianLiu,AmitSolomon,SalmanSalamatian,DeryaMalak,andMurielMedard 4 ChannelCodingviaMachineLearning 77 HyejiKim 5 ChannelEstimation,Feedback,andSignalDetection 110 HengtaoHe,HaoYe,ShiJin,andGeoffreyY.Li 6 Model-BasedMachineLearningforCommunications 145 NirShlezinger,NarimanFarsad,YoninaC.Eldar,andAndreaGoldsmith 7 ConstrainedUnsupervisedLearningforWirelessNetworkOptimization 182 HoonLee,SangHyunLee,andTonyQ.S.Quek 8 RadioResourceAllocationinSmartRadioEnvironments 212 AlessioZapponeandMerouaneDebbah 9 ReinforcementLearningforPhysicalLayerCommunications 231 PhilippeMary,ChristopheMoy,andVisaKoivunen 10 Data-DrivenWirelessNetworks:ScalabilityandUncertainty 285 FengYin,YueXu,andShuguangCui Published online by Cambridge University Press viii Contents 11 CapacityEstimationUsingMachineLearning 317 ZivAharoni,DorTsur,ZivGoldfeld,andHaimH.Permuter PartII WirelessNetworksforMachineLearning 12 CollaborativeLearningoverWirelessNetworks:AnIntroductoryOverview 353 EmreOzfatura,DenizGündüz,andH.VincentPoor 13 OptimizedFederatedLearninginWirelessNetworkswithConstrainedResources 385 ShiqiangWang,TiffanyTuor,andKinK.Leung 14 QuantizedFederatedLearning 409 NirShlezinger,MingzheChen,YoninaC.Eldar,H.VincentPoor,andShuguangCui 15 Over-the-AirComputationforDistributedLearningoverWirelessNetworks 434 MohammadMohammadiAmiriandDenizGündüz 16 FederatedKnowledgeDistillation 457 HyowoonSeo,JihongPark,SeungeunOh,MehdiBennis,andSeong-LyunKim 17 DifferentiallyPrivateWirelessFederatedLearning 486 DongzhuLiu,AmirSonee,OsvaldoSimeone,andStefanoRini 18 TimelyWirelessEdgeInference 512 ShengZhou,WenqiShi,XiufengHuang,andZhishengNiu Index 539 Published online by Cambridge University Press Contributors ZivAharoni, Ben-GurionUniversityoftheNegev MohammadMohammadiAmiri, PrincetonUniversity MehdiBennis, UniversityofOulu MingzheChen, PrincetonUniversity ShuguangCui, TheChineseUniversityofHongKong,Shenzhen MérouaneDebbah, CentralSupélec NarimanFarsad, StanfordUniversity ZivGoldfeld, CornellUniversity HengtaoHe, SoutheastUniversity XiufengHuang, TsinghuaUniversity ShiJin, SoutheastUniversity Published online by Cambridge University Press