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Geometrically Based MIMO Mobile-to-Mobile Channel Model

摘要第5-8页
Abstract第8-10页
Table of Contents第11-14页
List of Figures and Tables第14-16页
List of Acronyms第16-18页
List of Symbols第18-21页
Chapter One General Background第21-36页
    1.1 Fading第21-25页
        1.1.1 Large scale fading第24页
        1.1.2 Small-scale fading第24页
        1.1.3 Microscopic Fading第24-25页
        1.1.4 Doppler spread-time selective fading第25页
        1.1.5 Delay spread-frequency selective fading第25页
        1.1.6 Angle spread-space selective fading第25页
    1.2 Channel Propagation第25-28页
        1.2.1 Radio Wave propagation第26-27页
        1.2.2 Free space propagation model第27-28页
    1.3 Concepts of probability and Statistic and their effects on communication第28-36页
        1.3.1 Random Variables and Stochastic Process第28-29页
        1.3.2 Random variable第29页
        1.3.3 Sample space第29页
        1.3.4 Cumulative Distribution Function(CDF)第29-30页
        1.3.5 Expected value第30-31页
        1.3.6 Variance第31-32页
        1.3.7 Covariance第32-33页
        1.3.8 The Chi-Squared Distrbution第33页
        1.3.9 Normal(Gaussian)distribution第33页
        1.3.10 Complex Valued stochastic process第33页
        1.3.11 Autocorrelation第33-34页
        1.3.12 Cross-correlation function第34页
        1.3.13 Stationary process第34-36页
Chapter Two Introduction to MIMO system第36-43页
    2.1 MIMO systems第36-43页
        2.1.1 Challenges needed to be addressed by wireless system designers第36-39页
            2.1.1.1 Array Diversity第37-38页
            2.1.1.2 Diversity gain第38-39页
        2.1.2 Mode of MIMO operations第39-41页
            2.1.2.1 Pre-coding第39-40页
            2.1.2.2 Spatial multiplexing第40页
            2.1.2.3 Diversity Coding第40-41页
        2.1.3 Channel coherency and Selectivity第41-43页
Chapter Three MIMO system第43-54页
    3.2 MIMO system model第43-45页
    3.3 MIMO system capacity第45-50页
        3.3.1 Channel unknown to transmitter第47-48页
        3.3.2 Channel known to the transmitter第48-49页
        3.3.3 Ergodic capacity第49-50页
    3.4 Definitions of different channel modes第50-52页
        3.4.1 Single-Input,Single-output SISO第50页
        3.4.2 Single-Input,Multiple-Output SIMO第50-51页
        3.4.3 Multiple-Input Single-Output MISO第51-52页
        3.4.4 Multiple-Input,Multiple-Output MIMO第52页
    3.5 Statistical Channel Models第52-53页
    3.6 Random Channels第53-54页
Chapter Four Related Works第54-92页
    4.2 MIMO wireless channel Modeling and Experimental characterization第54页
    4.3 General MIMO channel Models第54-60页
        4.3.1 Ray Tracing based channel model第57页
        4.3.2 Kronccker Model第57-58页
        4.3.3 Random Matrix Method第58-60页
    4.4 Covariance Model第60-92页
        4.4.1 Geometric Discrete Scattering Model第60-61页
        4.4.2 One-Ring Model第61-66页
            4.4.2.1 The space-time cross correlation function第65-66页
            4.4.2.2 The Autocorrelation Function ACF第66页
        4.4.3 The two-ring model第66-92页
            4.4.3.1 The Space-Time CCF of the reference model第71-74页
            4.4.3.2 The Stochastic simulation model第74-75页
            4.4.3.3 The Deterministic Simulation model第75-92页
                4.4.3.3.1 Filter method第76页
                4.4.3.3.2 Rice Method第76-81页
                4.4.3.3.3 Parameter Computation第81-92页
                    4.4.3.3.3.1 Method of Equal Distance (MED)第82-83页
                    4.4.3.3.3.2 Mean-Square-Error Method (MSEM)第83-84页
                    4.4.3.3.3.3 Method of Equal Areas (MEA)第84-86页
                    4.4.3.3.3.4 Monte Carlo Method (MCM)第86-87页
                    4.4.3.3.3.5 Lp-norm method (LPNM)第87-89页
                    4.4.3.3.3.6 Method of Exact Doppler Spread (MEDS)第89页
                    4.4.3.3.3.7 Jakes Method (JM)第89-90页
                    4.4.3.3.3.8 Randomized MEDS (R-MEDS)第90-91页
                    4.4.3.3.3.9 MEDS with set partitioning (MEDS-sp)第91-92页
Chapter Five The Mixed bounce two-ring reference model第92-118页
    5.2 The geometry of the two ring model第92-95页
    5.3 Derivation of the reference model第95-99页
    5.4 The Space-Time Correlation Function CCF第99-107页
    5.5 The simulation Model第107-113页
        5.5.1 The stochastic simulation model(SSM)第108-110页
        5.5.2 The deterministic simulation model(DSM)第110-113页
    5.6 Numerical results第113-118页
Chapter Six Conclusion第118-119页
References第119-124页
Acknowledgement第124-126页
Papers Published during PhD第126页

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