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Contents

Оглавление

Preface

About the Authors

Acknowledgments

Common Symbol Table

Chapter 1.Introduction

1.1Overview of Ground-based Wireless Communication System

1.1.1The first generation of mobile communication system

1.1.2The second generation of mobile communication system

1.1.3The third generation of mobile communication system

1.1.4The fourth generation of mobile communication system

1.1.5The fifth generation of mobile communication system

1.2The Overview of Air-Based Cooperative Transmission System

1.3The Overview of Space-Based Cooperative Transmission System

1.3.1The current situation and development trend of space-based cooperative transmission system

1.3.2The basic principle of space-based cooperative transmission system

1.4Summary

References

Chapter 2.The Overview of Multi-Antenna Signal and System

2.1Spatial Signal Combination and Detection Basis

2.1.1Spatial signal combination

2.1.2Received signal detection

2.2Array Antenna Pattern Synthesis Technology

2.2.1Array antenna arrangement

2.2.2Array antenna freedom

2.2.3Array antenna pattern synthesis

2.3Overview of the MIMO System

2.3.1Diversity technique

2.3.2SIMO system

2.3.3MISO system

2.3.4MIMO system

2.4MIMO Traditional Detection Technology

2.4.1System model

2.4.2Uncoded MIMO signal detection

2.4.3Simulation results

2.5Summary

References

Chapter 3.Adaptive Antenna Array Theory and Technology

3.1The Basic Principle of Adaptive Antenna Array

3.2Optimal Filtering Criteria

3.2.1Minimum mean square error criterion

3.2.2Maximum signal-to-interference-and-noise ratio criterion

3.2.3Maximum likelihood criterion

3.2.4Minimum variance criterion

3.3Adaptive Beamforming Algorithm

3.3.1Least mean square algorithm

3.3.2Sample matrix inversion

3.3.3Recursive least squares

3.3.4Conjugate gradient algorithm

3.3.5Constant modulus algorithm

3.4Direction of Arrival Estimation

3.4.1Traditional spectral estimation method

3.4.2Maximum entropy spectrum estimation

3.4.3Multiple signal classification algorithm

3.4.4Estimation of signal parameters via rotational invariance techniques

3.4.5Maximum likelihood algorithm

3.4.6Subspace fitting algorithm

3.5Adaptive Antenna Array Calibration

3.5.1Radio feed reference signal method

3.5.2Signal injection method

3.5.3Blind signal calibration method

3.6Adaptive Antenna System Hardware Architecture

3.6.1Radio frequency front-end module

3.6.2Data signal processing module

3.6.3Parallel digital beamforming

3.7Summary

References

Chapter 4.MIMO Multi-Antenna Theory and Technology

4.1MIMO Channel Model

4.2MIMO Channel Capacity

4.2.1Deterministic channel capacity

4.2.2Random MIMO channel capacity

4.2.3Comparison of MIMO channel capacity for average power allocation

4.3MIMO Space–Time Coding Technology

4.3.1Space–time coding and coding guidelines

4.3.2Space–time trellis code

4.3.3Space–time block code

4.3.4Layered space–time code

4.3.5Other space–time coding

4.4MIMO Beamforming Technology

4.4.1Single-user beamforming

4.4.2Multi-user beamforming

4.5MIMO Multi-antenna Technology

4.5.1Mutual coupling of multiple antenna units

4.5.2Spatial correlation coefficient

4.5.3Spatial correlation and MIMO channel

4.5.4MIMO multi-antenna decoupling

4.5.5MIMO multi-antenna selection

4.6Massive MIMO Technology

4.6.1Massive MIMO system application prospects

4.6.2Channel hardening under large sizes

4.6.3Technical challenges faced by large-scale MIMO

4.7Summary

References

Chapter 5.Spatial Multidimensional Signal Reception and Iterative Processing

5.1MIMO Detection Technology Based on Lattice Theory

5.1.1Lattice mathematical basis

5.1.2MIMO detection based on lattice reduction

5.1.3Simulation results

5.2Iterative Detection and Decoding Basic Principle and Optimal MAP Detection

5.2.1BICM-ID system

5.2.2MIMO iterative receiver-optimal MAP detection

5.3Detection and Decoding Technology Based on Random Sampling

5.3.1System model

5.3.2LR-based sampling list generation method

5.3.3Complexity analysis

5.3.4Simulation results

5.4Bit Filtering-Based Detection and Decoding Technology

5.4.1LR-based IDD and bit-level combination and list generation

5.4.2Complexity analysis

5.4.3Simulation results

5.5Summary

References

Chapter 6.Ground-Based Cooperative Transmission System

6.1Ground-Based Transmission System Overview

6.1.1Development of ground-based wireless communication systems

6.1.2Characteristics of ground-based wireless communication systems

6.2Multidimensional Joint Resource Management of Ground-Based Wireless Communication System

6.2.1Radio resource management model based on a two-layer cognitive loop

6.2.2Intelligent radio resource management model

6.2.3Service-oriented radio resource management implementation architecture

6.2.4MIMO–OFDM system radio resource scheduling

6.3Multi-User Cooperative Transmission Method

6.3.1Orthogonal beamforming technology

6.3.2Beamforming technology for multi-user relay systems

6.3.3Multi-user selection strategy

6.4Multi-cell Cooperative Transmission and Anti-Interference Method

6.4.1Multi-cell cooperative transmission

6.4.2Geometric modeling of multi-cell interference system

6.4.3Multi-cell system anti-interference technology

6.4.4Multi-cell system cooperative interference suppression

6.5The Massive MIMO System

6.5.1Review of the basic concepts of a massive MIMO System

6.5.2Single-user massive MIMO

6.5.3Multi-user massive MIMO

6.5.4Multi-cell massive MIMO

6.6Summary

References

Chapter 7.Air-Based Cooperative Transmission System

7.1Overview of Air-Based Transmission Technology

7.1.1Introduction to the high-altitude platform communication system

7.1.2Introduction to Project Loon

7.2Array-Based and Air-Based Transmission System

7.2.1Mathematical model of the antenna beam

7.2.2Efficient algorithm for predicting co-channel interference

7.2.3121 cell structure results

7.2.4Conclusions

7.3Air-Based Beamforming

7.3.1Two-dimensional spatial interpolation beamformer (2D SIB)

7.3.2Design example of two-dimensional spatial interpolation filter

7.4High-Altitude Platform Cell Planning

7.4.1Coverage and cell partition of high-altitude platforms

7.4.2Conclusions

7.5High-Altitude Platform Transmission Mechanism

7.5.1The introduction of related technologies

7.5.2System and channel model

7.5.3Singular vector-based training method

7.5.4Steering vector-based training method

7.5.5Performance evaluation

7.5.6Conclusions

7.6Summary

References

Chapter 8.Space-Based Cooperative Transmission System

8.1The Overview of Space-Based Transmission Technology

8.2Constellation Cooperative Multi-Beam Transmission Technology

8.3Constellation Cooperative MIMO System Modeling

8.3.1Single-antenna constellation

8.3.2Array antenna constellation

8.4Constellation-Cooperative MIMO System Capacity

8.4.1Capacity derivation

8.4.2Single-antenna constellation capacity

8.4.3Array antenna constellation capacity

8.5Analysis of Factors Affecting Capacity of Constellation Cooperative MIMO System

8.5.1Single-antenna constellation

8.5.2Array antenna constellation

8.6Summary

References

Conclusion

Index

Spatial Multidimensional Cooperative Transmission Theories And Key Technologies

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