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E-raamat: Spatial Multidimensional Cooperative Transmission Theories And Key Technologies

(Peng Cheng Laboratory, China), (Shanghai Jiao Tong Univ, China), (Beihang Univ, China), (Shanghai Jiao Tong Univ, China), (Beihang Univ, China)
  • Formaat: 472 pages
  • Ilmumisaeg: 24-Aug-2020
  • Kirjastus: World Scientific Publishing Co Pte Ltd
  • Keel: eng
  • ISBN-13: 9789811202476
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Spatial Multidimensional Cooperative Transmission Theories And Key TechnologiesSuurem pilt
  • Formaat: 472 pages
  • Ilmumisaeg: 24-Aug-2020
  • Kirjastus: World Scientific Publishing Co Pte Ltd
  • Keel: eng
  • ISBN-13: 9789811202476
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"This book introduces the basic theory and key technologies of MIMO multi-antenna system, the characteristics and applications of spatial multi-dimensional cooperative transmission in the Ground-based, Air-based and Space-based communication systems as well as several advanced technologies for spatial multidimensional cooperative transmission from theoretical and practical perspectives. The Chinese edition of this book won the 4th Chinese Government Award for Publishing, and the authors are well known inthe field of Spatial Information Network"--

This book introduces the basic theory and key technologies of MIMO multi-antenna system, the characteristics and applications of spatial multi-dimensional cooperative transmission in the Ground-based, Air-based and Space-based communication systems as well as several advanced technologies for spatial multidimensional cooperative transmission from theoretical and practical perspectives. The Chinese edition of this book won the 4th Chinese Government Award for Publishing, and the authors are well known in the field of Spatial Information Network.

Preface v
About the Authors ix
Acknowledgments xv
Common Symbol Table xvii
Chapter 1 Introduction
1(24)
1.1 Overview of Ground-based Wireless Communication System
2(7)
1.1.1 The first generation of mobile communication system
2(1)
1.1.2 The second generation of mobile communication system
2(1)
1.1.3 The third generation of mobile communication system
3(1)
1.1.4 The fourth generation of mobile communication system
4(1)
1.1.5 The fifth generation of mobile communication system
5(4)
1.2 The Overview of Air-Based Cooperative Transmission System
9(6)
1.3 The Overview of Space-Based Cooperative Transmission System
15(6)
1.3.1 The current situation and development trend of space-based cooperative transmission system
16(3)
1.3.2 The basic principle of space-based cooperative transmission system
19(2)
1.4 Summary
21(1)
References
21(4)
Chapter 2 The Overview of Multi-Antenna Signal and System
25(58)
2.1 Spatial Signal Combination and Detection Basis
25(20)
2.1.1 Spatial signal combination
26(9)
2.1.2 Received signal detection
35(10)
2.2 Array Antenna Pattern Synthesis Technology
45(9)
2.2.1 Array antenna arrangement
46(4)
2.2.2 Array antenna freedom
50(2)
2.2.3 Array antenna pattern synthesis
52(2)
2.3 Overview of the MIMO System
54(17)
2.3.1 Diversity technique
56(1)
2.3.2 SIMO system
57(5)
2.3.3 MISO system
62(3)
2.3.4 MIMO system
65(6)
2.4 MIMO Traditional Detection Technology
71(10)
2.4.1 System model
72(1)
2.4.2 Uncoded MIMO signal detection
73(8)
2.4.3 Simulation results
81(1)
2.5 Summary
81(1)
References
82(1)
Chapter 3 Adaptive Antenna Array Theory and Technology
83(58)
3.1 The Basic Principle of Adaptive Antenna Array
83(4)
3.2 Optimal Filtering Criteria
87(6)
3.2.1 Minimum mean square error criterion
87(2)
3.2.2 Maximum signal-to-interference-and-noise ratio criterion
89(1)
3.2.3 Maximum likelihood criterion
90(1)
3.2.4 Minimum variance criterion
91(2)
3.3 Adaptive Beamforming Algorithm
93(17)
3.3.1 Least mean square algorithm
95(5)
3.3.2 Sample matrix inversion
100(2)
3.3.3 Recursive least squares
102(3)
3.3.4 Conjugate gradient algorithm
105(2)
3.3.5 Constant modulus algorithm
107(3)
3.4 Direction of Arrival Estimation
110(15)
3.4.1 Traditional spectral estimation method
111(1)
3.4.2 Maximum entropy spectrum estimation
111(2)
3.4.3 Multiple signal classification algorithm
113(4)
3.4.4 Estimation of signal parameters via rotational invariance techniques
117(2)
3.4.5 Maximum likelihood algorithm
119(3)
3.4.6 Subspace fitting algorithm
122(3)
3.5 Adaptive Antenna Array Calibration
125(9)
3.5.1 Radio feed reference signal method
126(5)
3.5.2 Signal injection method
131(1)
3.5.3 Blind signal calibration method
132(2)
3.6 Adaptive Antenna System Hardware Architecture
134(5)
3.6.1 Radio frequency front-end module
136(1)
3.6.2 Data signal processing module
137(1)
3.6.3 Parallel digital beamforming
138(1)
3.7 Summary
139(1)
References
140(1)
Chapter 4 MIMO Multi-Antenna Theory and Technology
141(84)
4.1 MIMO Channel Model
142(4)
4.2 MIMO Channel Capacity
146(13)
4.2.1 Deterministic channel capacity
148(5)
4.2.2 Random MIMO channel capacity
153(1)
4.2.3 Comparison of MIMO channel capacity for average power allocation
154(5)
4.3 MIMO Space-Time Coding Technology
159(16)
4.3.1 Space--time coding and coding guidelines
160(4)
4.3.2 Space-time trellis code
164(2)
4.3.3 Space-time block code
166(5)
4.3.4 Layered space-time code
171(2)
4.3.5 Other space-time coding
173(2)
4.4 MIMO Beamforming Technology
175(14)
4.4.1 Single-user beamforming
176(2)
4.4.2 Multi-user beamforming
178(11)
4.5 MIMO Multi-antenna Technology
189(22)
4.5.1 Mutual coupling of multiple antenna units
189(2)
4.5.2 Spatial correlation coefficient
191(4)
4.5.3 Spatial correlation and MIMO channel
195(5)
4.5.4 MIMO multi-antenna decoupling
200(7)
4.5.5 MIMO multi-antenna selection
207(4)
4.6 Massive MIMO Technology
211(9)
4.6.1 Massive MIMO system application prospects
211(2)
4.6.2 Channel hardening under large sizes
213(2)
4.6.3 Technical challenges faced by large-scale MIMO
215(5)
4.7 Summary
220(1)
References
221(4)
Chapter 5 Spatial Multidimensional Signal Reception and Iterative Processing
225(48)
5.1 MIMO Detection Technology Based on Lattice Theory
226(14)
5.1.1 Lattice mathematical basis
226(2)
5.1.2 MIMO detection based on lattice reduction
228(11)
5.1.3 Simulation results
239(1)
5.2 Iterative Detection and Decoding Basic Principle and Optimal MAP Detection
240(6)
5.2.1 BICM-ID system
241(3)
5.2.2 MIMO iterative receiver-optimal MAP detection
244(2)
5.3 Detection and Decoding Technology Based on Random Sampling
246(13)
5.3.1 System model
246(1)
5.3.2 LR-based sampling list generation method
247(8)
5.3.3 Complexity analysis
255(3)
5.3.4 Simulation results
258(1)
5.4 Bit Filtering-Based Detection and Decoding Technology
259(12)
5.4.1 LR-based IDD and bit-level combination and list generation
260(5)
5.4.2 Complexity analysis
265(1)
5.4.3 Simulation results
266(5)
5.5 Summary
271(1)
References
272(1)
Chapter 6 Ground-Based Cooperative Transmission System
273(74)
6.1 Ground-Based Transmission System Overview
273(8)
6.1.1 Development of ground-based wireless communication systems
274(6)
6.1.2 Characteristics of ground-based wireless communication systems
280(1)
6.2 Multidimensional Joint Resource Management of Ground-Based Wireless Communication System
281(18)
6.2.1 Radio resource management model based on a two-layer cognitive loop
281(9)
6.2.2 Intelligent radio resource management model
290(5)
6.2.3 Service-oriented radio resource management implementation architecture
295(1)
6.2.4 MIMO-OFDM system radio resource scheduling
296(3)
6.3 Multi-User Cooperative Transmission Method
299(18)
6.3.1 Orthogonal beamforming technology
299(4)
6.3.2 Beamforming technology for multi-user relay systems
303(3)
6.3.3 Multi-user selection strategy
306(11)
6.4 Multi-cell Cooperative Transmission and Anti-Interference Method
317(14)
6.4.1 Multi-cell cooperative transmission
318(3)
6.4.2 Geometric modeling of multi-cell interference system
321(1)
6.4.3 Multi-cell system anti-interference technology
322(3)
6.4.4 Multi-cell system cooperative interference suppression
325(6)
6.5 The Massive MIMO System
331(11)
6.5.1 Review of the basic concepts of a massive MIMO System
331(2)
6.5.2 Single-user massive MIMO
333(3)
6.5.3 Multi-user massive MIMO
336(4)
6.5.4 Multi-cell massive MIMO
340(2)
6.6 Summary
342(1)
References
343(4)
Chapter 7 Air-Based Cooperative Transmission System
347(50)
7.1 Overview of Air-Based Transmission Technology
348(7)
7.1.1 Introduction to the high-altitude platform communication system
348(5)
7.1.2 Introduction to Project Loon
353(2)
7.2 Array-Based and Air-Based Transmission System
355(11)
7.2.1 Mathematical model of the antenna beam
357(2)
7.2.2 Efficient algorithm for predicting co-channel interference
359(4)
7.2.3 121 cell structure results
363(2)
7.2.4 Conclusions
365(1)
7.3 Air-Based Beamforming
366(8)
7.3.1 Two-dimensional spatial interpolation beamformer (2D SIB)
367(4)
7.3.2 Design example of two-dimensional spatial interpolation filter
371(3)
7.4 High-Altitude Platform Cell Planning
374(9)
7.4.1 Coverage and cell partition of high-altitude platforms
374(6)
7.4.2 Conclusions
380(3)
7.5 High-Altitude Platform Transmission Mechanism
383(9)
7.5.1 The introduction of related technologies
383(2)
7.5.2 System and channel model
385(1)
7.5.3 Singular vector-based training method
386(1)
7.5.4 Steering vector-based training method
387(2)
7.5.5 Performance evaluation
389(3)
7.5.6 Conclusions
392(1)
7.6 Summary
392(1)
References
393(4)
Chapter 8 Space-Based Cooperative Transmission System
397(42)
8.1 The Overview of Space-Based Transmission Technology
398(3)
8.2 Constellation Cooperative Multi-Beam Transmission Technology
401(1)
8.3 Constellation Cooperative MIMO System Modeling
402(4)
8.3.1 Single-antenna constellation
403(2)
8.3.2 Array antenna constellation
405(1)
8.4 Constellation-Cooperative MIMO System Capacity
406(14)
8.4.1 Capacity derivation
406(2)
8.4.2 Single-antenna constellation capacity
408(4)
8.4.3 Array antenna constellation capacity
412(8)
8.5 Analysis of Factors Affecting Capacity of Constellation Cooperative MIMO System
420(16)
8.5.1 Single-antenna constellation
421(6)
8.5.2 Array antenna constellation
427(9)
8.6 Summary
436(1)
References
437(2)
Conclusion 439(4)
Index 443
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