Spatial Multidimensional Cooperative Transmission Theories And Key Technologies. Lin Bai
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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
4.4MIMO Beamforming Technology
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
4.6.1Massive MIMO system application prospects
4.6.2Channel hardening under large sizes
4.6.3Technical challenges faced by large-scale MIMO
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
5.2Iterative Detection and Decoding Basic Principle and Optimal MAP Detection
5.2.2MIMO iterative receiver-optimal MAP detection
5.3Detection and Decoding Technology Based on Random Sampling
5.3.2LR-based sampling list generation method
5.4Bit Filtering-Based Detection and Decoding Technology
5.4.1LR-based IDD and bit-level combination and list generation
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