Title

An Efficient Content Delivery for LEO Satellite ISL Networks with Lyapunov Optimization and Reinforcement Learning

Alternative Title

Lyapunov 최적화 및 강화 학습을 활용하는 LEO 위성 네트워크를 위한 효율적인 콘텐츠 전달

DGIST Authors

Jeongmin Seo ; Jeongho Kwak ; Youngsik Kim

Advisor

곽정호

Co-Advisor(s)

Youngsik Kim

Issued Date

2024

Awarded Date

2024-08-01

Citation

Jeongmin Seo. (2024). An Efficient Content Delivery for LEO Satellite ISL Networks with Lyapunov Optimization and Reinforcement Learning. doi: 10.22677/THESIS.200000802805

Type

Thesis

Description

Joint caching and routing, LEO satellite networks, Load balancing, Lyapunov optimization, Reinforcement Learning

Table Of Contents

Abstract i
List of Contents iii
List of Tables v
List of Figures vi
1 Introduction 1
2 Dynamic Content-Cached Satellite Selection and Congestion-Aware Rout-
ing for Power Minimization in ISL-based LEO Satellite Networks 5
2.1 Introduction 5
2.2 Related Works 8
2.3 System Model 9
2.3.1 Topology of Satellite Network 11
2.3.2 Satellite Power Consumption Model 12
2.3.3 Content Delivery Model 13
2.3.4 Satellite-Terrestrial Transmission Model 15
2.4 Problem Formulation 15
2.4.1 Lyapunov Optimization Approach 16
2.5 Joint Cache Selection and Congestion-Aware Routing (JCCR) Algorithm 19
2.5.1 Theoretical Analysis 23
2.6 Performance evaluation 24
2.6.1 Simulation setup 24
2.6.2 Simulation results 26
2.7 Conclusion 29
2.8 Appendix 30
2.8.1 Proof of Lemma 1 30
2.8.2 Proof of Theorem 2 31
3 Proactive Content Caching and Routing for Energy Minimization based
on Content Popularity in LEO Satellite Networks 33
3.1 Introduction 33
3.2 System Model and Problem Formulation 35
3.3 Discussion 40
3.4 Conclusion 42
References 43

URI

http://hdl.handle.net/20.500.11750/57915
http://dgist.dcollection.net/common/orgView/200000802805

DOI

10.22677/THESIS.200000802805

Degree

Master

Department

Artificial Intelligence Major

Publisher

DGIST

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