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      Environment-Aware Extreme MIMO for 6G: CDI Management and Configured Scheduling = 6G를 위한 환경 인지형 초대규모 MIMO: 채널 분포 정보 관리와 사전 설정 스케줄링의 결합 기법

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      https://www.riss.kr/link?id=T17393883

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      목차 (Table of Contents)

      • CONTENTS
      • LIST OF FIGURES
      • LIST OF TABLES
      • ABSTRACT
      • CONTENTS
      • LIST OF FIGURES
      • LIST OF TABLES
      • ABSTRACT
      • 1 Introduction
      • 2 Technical Background and Research Framework
      • 2.1 6G HRLLC Service Requirements and Scheduling Paradigms
      • 2.1.1 Extended and Combined Service Requirements for 6G
      • 2.1.2 Configured Scheduling for High-Throughput HRLLC
      • 2.2 5G NR Protocols and Scheduling for Massive MIMO
      • 2.2.1 CDI Management and Configured Scheduling
      • 2.2.2 Beam Management and Channel Information Acquisition
      • 2.3 Technical Challenges of 6G Extreme MIMO Scheduling
      • 2.3.1 The 6G E-MIMO Requirements and Challenges
      • 2.3.2 Challenges in CDI Management and Configured Scheduling
      • 2.4 Research Framework and Objectives
      • 2.4.1 AI-Integrated Compact CDI for Configured Scheduling
      • 2.4.2 Environment-Aware RAN Digital Twin
      • 2.4.3 Environment-Aware E-MIMO Beam Management
      • 3 Baseline Approach: AI-Integrated Compact CDI Management and Configured Scheduling for E-MIMO
      • 3.1 Introduction
      • 3.2 System Model
      • 3.3 The Proposed AI-Integrated E-MIMO Scheduling Method
      • 3.3.1 Systematic Framework for the Proposed Method
      • 3.3.2 SINR-DP Estimation Model Creation and Application
      • 3.3.3 A Design Example
      • 3.4 Performance Evaluations
      • 3.5 Summary
      • 4 Environment-Aware RAN Digital Twin: QIE-Based CDI Management and Configured Scheduling
      • 4.1 Introduction
      • 4.2 The Proposed QIE-Aware RAN Twin
      • 4.3 Proposed Twin-Assisted E-MIMO Scheduling
      • 4.3.1 Data Collection and QIE Construction
      • 4.3.2 QIE-Based Scheduling Optimization
      • 4.3.3 QIE-IF Creation and Application
      • 4.3.4 QIE-Aware Configured Scheduling Algorithm
      • 4.4 Performance Evaluation
      • 4.4.1 Simulation Environment
      • 4.4.2 Performance Results
      • 4.5 Summary
      • 5 Environment-Aware E-MIMO: Beam-Domain CDI Acquisition and Configured Scheduling
      • 5.1 Introduction
      • 5.2 System Model
      • 5.2.1 Hybrid Beamforming Architecture
      • 5.2.2 Weichselberger Channel Model
      • 5.3 Capacity-Driven E-MIMO Beam Management
      • 5.3.1 Beam-Domain Weichselberger Transformation
      • 5.3.2 Beam-Domain Channel Capacity
      • 5.3.3 Capacity-Preserving Greedy Beam Allocation
      • 5.4 B-QIE-Aware Configured Scheduling
      • 5.4.1 B-QIE Measurement and Determination
      • 5.4.2 B-QIE-Aware Scheduling Optimization
      • 5.4.3 Scheduling Procedure
      • 5.5 Performance Evaluation
      • 5.5.1 Performance Results
      • 5.6 Summary
      • 6 Conclusion
      • ABSTRACT (KOREAN)
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