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Low-resolution ADC receiver design, MIMO interference cancellation prototyping, and PHY secrecy PDF

122 Pages·2017·4.7 MB·English
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UUnniivveerrssiittyy ooff LLoouuiissvviillllee TThhiinnkkIIRR:: TThhee UUnniivveerrssiittyy ooff LLoouuiissvviillllee''ss IInnssttiittuuttiioonnaall RReeppoossiittoorryy Electronic Theses and Dissertations 5-2017 LLooww--rreessoolluuttiioonn AADDCC rreecceeiivveerr ddeessiiggnn,, MMIIMMOO iinntteerrffeerreennccee ccaanncceellllaattiioonn pprroottoottyyppiinngg,, aanndd PPHHYY sseeccrreeccyy aannaallyyssiiss.. Chen Cao University of Louisville Follow this and additional works at: https://ir.library.louisville.edu/etd Part of the Signal Processing Commons, and the Systems and Communications Commons RReeccoommmmeennddeedd CCiittaattiioonn Cao, Chen, "Low-resolution ADC receiver design, MIMO interference cancellation prototyping, and PHY secrecy analysis." (2017). Electronic Theses and Dissertations. Paper 2697. https://doi.org/10.18297/etd/2697 This Doctoral Dissertation is brought to you for free and open access by ThinkIR: The University of Louisville's Institutional Repository. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of ThinkIR: The University of Louisville's Institutional Repository. This title appears here courtesy of the author, who has retained all other copyrights. For more information, please contact [email protected]. LOW-RESOLUTION ADC RECEIVER DESIGN, MIMO INTERFERENCE CANCELLATION PROTOPTYING, AND PHY SECRECY ANALYSIS By ChenCao ADissertation SubmittedtotheFacultyofthe J.B.SpeedSchoolofEngineeringoftheUniversityofLouisville inPartialFulfillmentoftheRequirements fortheDegreeof DoctorofPhilosophyinElectricalEngineering DepartmentofElectricalandComputerEngineering UniversityofLouisville Louisville,Kentucky May 2017 ChenCao Copyright2017by Allrightsreserved LOW-RESOLUTION ADC RECEIVER DESIGN, MIMO INTERFERENCE CANCELLATION PROTOPTYING, AND PHY SECRECY ANALYSIS By ChenCao B.S.,Xi’anJiaotongUniversity,China,2010 M.S.,Xi’anJiaotongUniversity,China,2013 ADissertationApprovedOn April14,2017 bythefollowingDissertationCommittee: HongxiangLi,DissertationDirector AndreFaul CindyHarnett HuachengZeng LihuiBai ii DEDICATION ToallIlove. iii ACKNOWLEDGMENTS First of all, I would like to thank my advisor Dr. Hongxiang Li. He helped me a lotduringmyfouryearPh.D.studyandresearch. Icouldnothavewrittenthisdissertation without his help. I would also like to thank Dr. Andre Faul, Dr. Cindy Harnett, Dr. Huacheng Zeng and Dr. Lihui Bai for their kind help. I really appreciate all the help and care for me. Thanks to my colleagues, Xiaohui Zhang, Wenqi Liu and Nadieh Moghadam for their support and advice on my research. I would also like to thank Tom Carroll, Lisa Bell, and any others who have helped me these years. Thank my family and friends, you arethehope. iv ABSTRACT LOW-RESOLUTIONADCRECEIVERDESIGN,MIMOINTERFERENCE CANCELLATIONPROTOPTYING,ANDPHYSECRECYANALYSIS ChenCao April14,2017 This dissertation studies three independent research topics in the general field of wirelesscommunications. Thefirsttopicfocusesonnewreceiverdesignwithlow-resolutionanalog-to-digital converters (ADC). In future massive multiple-input-multiple-output (MIMO) systems, multiple high-speed high-resolution ADCs will become a bottleneck for practical applications because of the hardware complexity and power consumption. One solution to this problem is to adopt low-cost low-precision ADCs instead. In Chapter II, MU-MIMO-OFDM systems only equipped with low-precision ADCs are considered. A new turbo receiver structure is proposed to improve the overall system performance. Meanwhile, ultra-low-cost communication devices can enable massive deployment of disposable wireless relays. In Chapter III, the feasibility of using a one-bit relay cluster to help a power-constrained transmitter for distant communication is investigated. Nonlinear estimatorsareappliedtoenableeffectivedecoding. The second topic focuses prototyping and verification of a LTE and WiFi co-existence system, where the operation of LTE in unlicensed spectrum (LTE-U) is v discussed. LTE-U extends the benefits of LTE and LTE Advanced to unlicensed spectrum, enabling mobile operators to offload data traffic onto unlicensed frequencies more efficiently and effectively. With LTE-U, operators can offer consumers a more robust and seamless mobile broadband experience with better coverage and higher download speeds. As the coexistence leads to considerable performance instability of both LTE and WiFi transmissions,theLTEandWiFireceiverswithMIMOinterferencecancelleraredesigned andprototypedtosupportthecoexistenceinChapterIV. The third topic focuses on theoretical analysis of physical-layer secrecy with finite blocklength. Unlike upper layer security approaches, the physical-layer communication securitycanguaranteeinformation-theoreticsecrecy. Currentstudiesonthephysical-layer secrecy are all based on infinite blocklength. Nevertheless, these asymptotic studies are unrealistic and the finite blocklength effect is crucial for practical secrecy communication. InChapterV,apracticalanalysisofsecurelatticecodesisprovided. vi TABLE OF CONTENTS Page ACKNOWLEDGMENTS iv ABSTRACT v LISTOFFIGURES x CHAPTER I INTRODUCTION 1 A Low-ResolutionADCReceiverDesign . . . . . . . . . . . . . . . . 1 B MIMOInterferenceCancellationPrototyping . . . . . . . . . . . . . 4 C PHYSecrecyAnalysis . . . . . . . . . . . . . . . . . . . . . . . . . 5 II UPLINK MU-MIMO-OFDM RECEIVERS WITH LOW-RESOLUTION ADCS 7 A Systemmodel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 B Conventionalreceiverwithuncorrelatedquantizationerrormodel . . 12 1 Channelestimation . . . . . . . . . . . . . . . . . . . . . . . 13 2 LMMSEMIMOdetector . . . . . . . . . . . . . . . . . . . . 14 C TurboLMMSEreceiverdesign . . . . . . . . . . . . . . . . . . . . 15 1 TurboLMMSEreceiverdesign . . . . . . . . . . . . . . . . . 16 2 Complexity . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 D TurboAMPreceiverdesign . . . . . . . . . . . . . . . . . . . . . . 19 1 Message-passingalgorithm . . . . . . . . . . . . . . . . . . . 20 2 Complexity . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 E Simulationresults . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 F Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 vii

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Cao, Chen, "Low-resolution ADC receiver design, MIMO interference cancellation In future massive multiple-input-multiple-output (MIMO) systems,.
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