Millimeter-Wave Communication Systems: Network Analysis and Hybrid Precoding Design

✍ Scribed by Kai Yang, Minwei Shi, Hang Yuan, Zhitong Ni

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 186
• Category: Library

✦ Synopsis

This book investigates the analytical framework and hybrid precoding scheme in millimeter-wave networks. Millimeter-wave communication is a frontier technology for supporting ultra-high data rate transmissions in future wireless networks due to larger bandwidth and higher spectral efficiency. However, the involved interference characterization and increased energy consumption are two dominant limitations in millimeter-wave network evolution. In this monograph, we develop a unified analytical framework for large-scale millimeter-wave communication networks, which leads to abundant network design insights and guidelines. Under this framework, we design low-complexity hybrid precoding algorithms for millimeter-wave systems, which greatly reduce energy consumption without obvious performance degradation.

We would like to highlight that we develop a unified analytical framework and low-complexity hybrid precoding mechanisms for millimeter-wave communication networks, where a variety of millimeter-wave properties and hardware constraints are incorporated. The developed mechanisms can provide abundant insights and guidelines for the hybrid precoding design and analysis in millimeter-wave communication networks. Graduate students, researchers, and engineers in the field of communication networks can benefit from the book.

✦ Table of Contents

Preface
Contents
Acronyms
1 Overview of Millimeter-Wave Communications
1.1 Background
1.2 Modeling and Analysis of mmWave Networks
1.2.1 Co-Existing with Sub-6GHz Networks
1.2.2 Modeling the Random Blockage
1.2.3 Stochastic Geometry-Based Analysis
1.3 Hybrid Precoding in mmWave Systems
1.4 Organization
References
2 Decoupled Heterogeneous Networks with mmWave Small Cells
2.1 Introduction
2.2 System Model
2.2.1 Directional Beamforming
2.2.2 Blockage and Channel Models
2.2.3 Association Strategy
2.3 Association Analysis
2.4 Performance Analysis
2.4.1 SINR Coverage Analysis
2.4.2 Rate Coverage Probability
2.4.3 Area Throughput
2.5 Simulation Results
2.5.1 Association Probability
2.5.2 Approximation of Uplink Interfering User Point Process
2.5.3 SINR Coverage Probability
2.5.4 Rate Coverage Probability
2.5.5 Decoupling Gain and Percentage of Decoupled UEs
2.6 Conclusion
References
3 Analysis of Heterogeneous Networks with mmWave Hotspots
3.1 Introduction
3.2 System Model
3.2.1 Spatial Model
3.2.2 Directional Beamforming
3.2.3 Channel Model
3.2.4 Association Strategy
3.3 Network Performance Analysis
3.3.1 Association Analysis
3.3.2 SINR Coverage Analysis
3.3.3 Rate Analysis
3.4 Simulation Results
3.4.1 The Effects of Hotspot Parameters
3.4.2 The Effects of Bias Values
3.4.3 Distance Dependent Performance
3.4.4 Coverage Probability
3.5 Conclusion
References
4 Fine-Grained Analysis of mmWave Hotspots
4.1 Introduction
4.2 System Model
4.2.1 Spatial Setup
4.2.2 Directional Beamforming
4.2.3 Blockage and Propagation Model
4.2.4 Association Strategy
4.2.5 Meta Distribution
4.3 Analysis of Single-Cluster Scenario
4.3.1 Propagation Process
4.3.2 Moments
4.3.3 Approximated Meta Distribution
4.4 Analysis of Multi-Cluster Scenario
4.4.1 Propagation Process
4.4.2 Moments
4.5 Simulation Results
4.5.1 The Impact of mmWave Features
4.5.2 The Impact of Receiver Distance from the Cluster Center
4.5.3 The Impact of Deployment Parameters
4.6 Conclusion
References
5 Angle of Arrivals Estimation for Multiuser mmWave Systems
5.1 Introduction
5.2 System and Channel Models
5.3 AoA Estimation Scheme for ULA
5.3.1 Pilot Signals
5.3.2 Estimation of Ωu,l
5.3.3 Associating AoAs to UEs
5.3.4 Impact of N on Estimation Performance
5.4 Extension to Wideband AoA Estimation
5.4.1 Wideband AoA Estimation
5.4.2 Complexity Analysis
5.5 Analysis of Estimation Accuracy
5.5.1 Definitions of Performance Metrics
5.5.2 MSELB of d
5.6 Simulation Results
5.7 Conclusion
References
6 Hybrid Precoding for Narrowband Multiuser mmWave Systems
6.1 Introduction
6.2 System and Channel Models
6.2.1 System Setup
6.2.2 Channel Model
6.3 Optimization Problem
6.3.1 UE Combining Vector
6.3.2 BS Baseband Precoder
6.3.3 BS Eigenbeam RF Precoder
6.4 Adaptive Baseband Precoder Design
6.4.1 Optimization of g Using Eigenbeam RF Precoder
6.4.2 Optimization of g Using Practical RF Precoder
6.5 MSD RF Precoder Quantizaton
6.5.1 The Nearest Neighbour Set
6.5.2 Finding the Optimal Codewords
6.5.3 Complexity Analysis
6.6 Simulation Results
6.7 Conclusion
References
7 Hybrid Precoding for Wideband Multiuser mmWave Systems
7.1 Introduction
7.2 Fully-Connected Beamforming Architecture
7.2.1 Multiuser mmWave MISO-OFDM System
7.2.2 Design of New Hybrid Precoding Schemes
7.2.3 Simulation Results
7.3 Subarray-Based Beamforming Architecture
7.3.1 System and Channel Models
7.3.2 Problem Statement
7.3.3 Proposed RF Precoding Scheme
7.3.4 Simulation Results
7.4 Conclusion
References
8 Hybrid Precoding Towards Higher Frequency Systems
8.1 Introduction
8.2 System Model
8.2.1 Multi-Carrier Hybrid Precoding
8.2.2 Wideband THz Channel Model
8.3 Inter-Band Power Leakage Analysis
8.4 Hybrid Precoding Design
8.4.1 Analog Precoding for the Desired Signal Power Maximization
8.4.2 Digital Precoding for the Inter-Beam Interference Elimination
8.4.3 Digital Precoding for the Inter-Band Power Leakage Suppression
8.5 Simulation Results
8.6 Conclusion
References
9 Summary and Future Research Directions
9.1 Summary
9.2 Future Research Directions