DGIST Scholar: Precoding Design for Multi-user Multi-antenna Systems in Emerging Networks

Department of Electrical Engineering and Computer Science Theses Ph.D.

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Precoding Design for Multi-user Multi-antenna Systems in Emerging Networks

Title: Precoding Design for Multi-user Multi-antenna Systems in Emerging Networks

Author(s): Minsu Kim

DGIST Authors: Minsu Kim ; Jeongho Kwak ; Jemin Lee

Advisor: 곽정호

Co-Advisor(s): Jemin Lee

Issued Date: 2023

Awarded Date: 2023-02-01

Type: Thesis

Description: Multi-user multiple-input single-output, ultra-reliable low-latency communication, finite blocklength, data freshness, semantic communication

Table Of Contents: I. INTRODUCTION 1
1.1 Backgrounds 1
1.2 Outline and Contributions 3
1.2.1 Chapter 2 3
1.2.2 Chapter 3 4
1.2.3 Chapter 4 4
1.2.4 Chapter 5 5
1.3 Notations 5
II. Precoding Design for Multi-user MISO Systems with Delay-Constrained and -Tolerant users 6
2.1 Introduction 6
2.2 System Model 9
2.2.1 Network Model without IR-HARQ scheme 9
2.2.2 Network Model with IR-HARQ scheme 10
2.3 Spectral Efficiency Analysis 11
2.3.1 Spectral Efficiency without IR-HARQ scheme 11
2.3.2 Spectral Efficiency with IR-HARQ scheme 14
2.4 Precoding Design for DCTU-MISO network without IR-HARQ scheme 16
2.4.1 Problem Formulation 16
2.4.2 Local Optimal Condition 17
2.4.3 Precoding Algorithm 19
2.5 Precoding Design for DCTU-MISO network with IR-HARQ scheme 21
2.5.1 Problem Formulation 21
2.5.2 Local Optimal Condition 23
2.5.3 Precoding Algorithm 25
2.6 Numerical Results 26
2.6.1 Performance analysis of DCTU-MISO networks without IR-HARQ 27
2.6.2 Performance analysis of DCTU-MISO networks with IR-HARQ 32
2.7 Conclusion 35
III. Precoding Design for Ensuring Data Freshness in Multi-user MISO Networks 36
3.1 Introduction 36
3.2 System Model 38
3.2.1 Network Model 38
3.2.2 Age-of-Information Violation Ratio 41
3.3 Precoding Design for Fresh Data 42
3.3.1 Problem Formulation 42
3.3.2 Local Optimal Condition 44
3.3.3 Algorithmic Design 47
3.3.4 Special Case: Large AoI Violation Threshold 48
3.4 Precoding Design for Fresh Data with Imperfect CSIT 49
3.4.1 Spectral Efficiency Analysis 49
3.4.2 Problem Formulation and Algorithmic Design 51
3.5 Numerical Results 53
3.5.1 Algorithm Complexity vs. Algorithm Accuracy 55
3.5.2 Performance in the perfect CSIT Scenario 56
3.5.3 Performance in the Imperfect CSIT Scenario 59
3.6 Conclusion 62
IV. Semantic-Based Precoding Design for Multi-user MISO Networks 63
4.1 Introduction 63
4.2 System Model 64
4.2.1 Network Model 64
4.2.2 Age of Incorrect Information 66
4.3 Precoding Design for Informative Data 67
4.3.1 Problem Formulation 68
4.3.2 Local Optimal Condition 69
4.3.3 Algorithmic Design 71
4.4 Numerical Results 71
4.5 Conclusion 75
V. CONCLUSIONS 76
References 78