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

122 Pages·2017·4.7 MB·English

by  Chen Cao

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 [e-mail].
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