<p><span>This book proposes promising mmWave solutions to promoting safe and reliable vehicular communications. The authors include topics such as channel estimation, multi-user transceiver design, and advanced index modulation. For channel estimation, unique channel properties and hybrid structures
mmWave Massive MIMO Vehicular Communications
โ Scribed by Xiang Cheng, Shijian Gao, Liuqing Yang
- Publisher
- Springer
- Year
- 2022
- Tongue
- English
- Leaves
- 152
- Series
- Wireless Networks
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book proposes promising mmWave solutions to promoting safe and reliable vehicular communications. The authors include topics such as channel estimation, multi-user transceiver design, and advanced index modulation. For channel estimation, unique channel properties and hybrid structures are first introduced, followed by the development of a doubly-sparse doubly-selective channel estimator. For multi-user transceiver design, the concept of hybrid block diagonalization (HBD) is first introduced, followed by a generic HBD-based transceiver design to maximize the system capacity. For advanced index modulation, the generalized beamspace modulation for uplink multi-user scenarios are first introduced, followed by the precoded beamspace modulation for the downlink. Finally, this book discusses open problems and future research directions to inspire further studies in the field of mmWave vehicular communications.
โฆ Table of Contents
Preface
Contents
Acronyms
1 Millimeter-Wave Vehicular Communications
1.1 Overview of Vehicular Communications
1.2 Necessity of Millimeter-Wave Technology
1.3 Characteristics of Millimeter-Wave Systems
1.4 Organization of the Monograph
References
2 Millimeter-Wave Massive MIMO Vehicular Channel Modeling
2.1 Introduction of Vehicular Channel Model
2.1.1 Vehicular Channel Characteristics
2.1.2 Recent Vehicular Channel Model
2.1.3 Contributions of Proposed Vehicular Channel Model
2.2 A 3D Non-Stationary Vehicular Channel Model
2.2.1 Model-Related Parameters
2.2.2 Channel Impulse Response
2.3 Vehicular Channel Space-Time-Frequency Non-stationary Modeling
2.3.1 Generation of Dynamic Correlated Clusters and Static Correlated Clusters
2.3.2 Time-Array Evolution of Dynamic Correlated Clusters and Static Correlated Clusters
2.3.2.1 Initialization of Correlated Cluster Sets
2.3.2.2 Array Evolution of Correlated Clusters
2.3.2.3 Time Evolution of Correlated Clusters
2.3.2.4 Time-Array Evolution of Correlated Clusters
2.4 Simulations
2.4.1 Statistical Properties Analysis
2.4.1.1 Space-Time-Frequency Correlation Function
2.4.1.2 Doppler Power Spectral Density
2.4.2 Simulation Setting
2.4.3 Simulation Results of the Proposed Model
2.4.4 Model Validation
2.4.5 Model Application
2.5 Discussions and Summary
References
3 Millimeter-Wave Vehicular Channel Estimation
3.1 Background
3.1.1 Necessity of Doubly-Selective Channel Estimator
3.1.2 Design Objectives and Proposed Approaches
3.2 System and Channel Models
3.2.1 System Model
3.2.2 Channel Models
3.2.3 Input-Output Relationship
3.3 Channel Estimation via Exploiting Double Sparsity
3.3.1 Proposed Training Pattern
3.3.2 Identification of Effective Taps
3.3.3 Identification of Effective Beams
3.3.4 Identification of Beam Amplitudes
3.4 Simulations
3.4.1 Tap Identification
3.4.2 NMSE in Static Wideband Channels
3.4.3 NMSE in Frequency-Flat Time-Varying Channels
3.4.3.1 NMSE in Doubly-Selective Channels
3.5 Discussions and Summary
References
4 Generic Millimeter-Wave Multi-User Transceiver Design
4.1 Background
4.1.1 Introduction of Multi-User Massive MIMO
4.1.2 Design Objectives and Proposed Approach
4.2 System Description and Problem Formulation
4.2.1 System and Channel Models
4.2.2 Input-Output Relationship
4.2.3 Problem Formulation
4.2.4 Design Strategy
4.3 Mutual Information (MI) Bounds
4.3.1 MI Upper-Bound
4.3.2 MI Lower-Bound
4.3.3 MI Relationship
4.3.4 HBD Optimality
4.4 Transceiver Design
4.4.1 Analog-Domain Processing
4.4.1.1 MBS
4.4.1.2 MAS
4.4.1.3 Subcarrier Down-Sampling
4.4.2 Digital-Domain Processing
4.4.2.1 First-Step Digital-processing
4.4.2.2 Second-Step Digital-processing
4.5 Simulations
4.5.1 MI in Frequency-Selective Channels
4.5.2 MI Versus APS Resolution
4.5.3 MI Versus RF Chains
4.5.4 MI Versus UEs and Antennas
4.5.5 MI in Other Configurations
4.6 Discussions and Summary
References
5 Millimeter-Wave Index Modulation for Vehicular Uplink Access
5.1 Introduction of Index Modulation (IM)
5.1.1 IM in Spatial-Domain
5.1.2 IM in Digital-Domain
5.1.3 IM in Beamspace-Domain
5.2 Wideband Generalized Beamspace Modulation (wGBM)
5.2.1 Design Motivation
5.2.2 System and Channel Models
5.2.3 wGBM Transceiver Over Static Channels
5.2.4 Performance Analysis
5.2.5 wGBM Accommodating Doppler
5.3 Extension to Multi-User Setup
5.3.1 Design Challenges
5.3.2 System Description
5.3.3 wGBM wMU Transceiver in Static Channels
5.3.4 wGBM wMU Accommodating Doppler
5.4 Simulations
5.4.1 Energy Efficiency
5.4.2 Error Performance in Doubly-Selective Channels
5.4.3 More Test in Low Vehicular Traffic Density (VTD) Slow-Mobility Non-stationary Channels
5.5 Discussions and Summary
References
6 Millimeter-Wave Index Modulation for Vehicular Downlink Transmission
6.1 Background
6.2 Wideband Precoded Beamspace Modulation (wPBM)
6.2.1 System and Channel Models
6.2.2 wPBM Transceiver Design
6.2.3 Analog-Domain Processing
6.2.4 Digital-Domain Processing
6.3 Extension to Multi-User Setup
6.3.1 Design Motivation
6.3.2 Overall Strategy
6.3.3 System and Channel Models
6.3.4 wPBM wMU Transceiver Design
6.4 Simulations
6.4.1 BER in Doubly-Selective Channels
6.4.2 BER in Low Vehicular Traffic Density (VTD) Slow-Mobility Non-stationary Channels
6.5 Discussions and Summary
References
Index
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