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Table of contents
Abstract
Abrege [Francais]
Acknowledgements
List of Figures
Acronyms
Notations
1 Introduction
1.1 Favorable Propagation
1.2 Pilot Contamination
1.3 Expectation Propagation
1.4 Thesis Outline and Main Contributions
2 Favorable Propagation Analysis and Multi-Stage Linear Detection
2.1 Introduction
2.2 System Model
2.3 Preliminary Mathematical Tools
2.3.1 Free Probability Theory
2.4 Channel Eigenvalue Moments
2.4.1 Eigenvalue Moments for Antennas in LoS
2.4.2 Eigenvalue Moments for Rayleigh Fading Channels
2.5 Favorable Propagation
2.6 Linear Multi-Stage Detectors
2.7 Simulation Results
2.8 Conclusion
3 Semi-Blind Pilot Decontamination
3.1 Introduction
3.2 System Model
3.3 Cramer-Rao Bound Analysis
3.4 Identiability
3.4.1 Message Passing Algorithm
3.5 Bayesian Semi-Blind Iterative Algorithm
3.6 Semi-Blind Approach with Gaussian Inputs
3.6.1 Joint Channel MAP for All Users
3.7 Pilot Based Bayesian Performance Bounds
3.8 Gaussian Inputs Bayesian Semi-Blind CRB
3.9 Gaussian-Gaussian Extrinsic Information Lower Bound
3.10 Simulation Results
3.11 Conclusion
4 Expectation Propagation Based Bayesian Semi-Blind Approach
4.1 Introduction
4.2 System Model
4.3 Expectation Propagation Algorithm
4.4 Variable Level Expectation Propagation(VL-EP)
4.5 VL-EP for Gaussian-Gaussian Semi-Blind
4.5.1 Channel VL-EP for GG-SB with Eliminated Inputs
4.6 Simulation Results
4.7 Conclusion
5 Conclusions and Future work
Appendices
A Appendices of Chapter 2
A.1 Proof of Algorithm 1
A.2 Proof of Rayleigh Fading Eigenvalue Moments
B Appendices of Chapter 3
B.1 Derivation of Deterministic CRB
B.2 Derivation of Algorithm 2
