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Hierarchical Network Slicing leveraging Dynamic Optimization and Learning in Open-RAN Architecture
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Title
Hierarchical Network Slicing leveraging Dynamic Optimization and Learning in Open-RAN Architecture
Alternative Title
오픈랜 아키텍처에서 동적 최적화와 학습을 활용한 계층적 네트워크 슬라이싱
DGIST Authors
Han Jong WonJeongho KwakDaewon Seo
Advisor
곽정호
Co-Advisor(s)
Daewon Seo
Issued Date
2025
Awarded Date
2025-02-01
Citation
Han Jong Won. (2025). Hierarchical Network Slicing leveraging Dynamic Optimization and Learning in Open-RAN Architecture. doi: 10.22677/THESIS.200000847726
Type
Thesis
Description
Open-RAN, Network Slicing, Lyapunov Optimization, Reinforcement Learning
Table Of Contents
1 Introduction 1
2 Dynamic Network Slicing Control Framework in AI-Native Hierarchical Open-RAN Architecture 4
2.1 Background Knowledge of O-RAN 4
2.2 Dynamic Network Slicing Framework 5
2.2.1 Operation in Non-RT-RIC 6
2.2.2 Operation in Near-RT-RIC 6
2.2.3 Operation in O-CU/DU/RU 7
2.3 Performance Evaluation 8
2.3.1 Simulation Setup 9
2.3.2 Applied Algorithms 9
2.3.3 Simulation Results 10
3 MARS: Mobility-Aware Hierarchical RAN Slicing in Open-RAN Architecture 11
3.1 System Model 11
3.2 Problem Formulation 16
3.3 Development of MARS Algorithm 22
3.3.1 Timescale Decomposition 22
3.3.2 Algorithm of Inter-SP 23
3.3.3 Algorithm of Intra-SP 24
3.3.4 Analysis of MARS 27
3.4 Performance Evaluation 29
3.4.1 Setup 29
3.4.2 Simulation Results 30
4 Conclusion 33
References 34
URI
http://hdl.handle.net/20.500.11750/58057
http://dgist.dcollection.net/common/orgView/200000847726
DOI
10.22677/THESIS.200000847726
Degree
Master
Department
Department of Electrical Engineering and Computer Science
Publisher
DGIST
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