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Showing results 1 to 28 of 28

Thesis
A Deep Reinforcement Learning-Based Policy for Efficient Resource Management in Vehicular Edge Computing
  • Jeeyoo Kim
  • 2025
  • Jeeyoo Kim. (2025). A Deep Reinforcement Learning-Based Policy for Efficient Resource Management in Vehicular Edge Computing. doi: 10.22677/THESIS.200000843414
  • DGIST
  • View : 241
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Thesis
Age-based Optimal Design for Ensuring Data Freshness in Edge Computing-enabled Monitoring Networks
  • Jinwoong Kim
  • 2024
  • Jinwoong Kim. (2024). Age-based Optimal Design for Ensuring Data Freshness in Edge Computing-enabled Monitoring Networks. doi: 10.22677/THESIS.200000802750
  • DGIST
  • View : 149
  • Download : 0
Thesis
An Efficient Content Delivery for LEO Satellite ISL Networks with Lyapunov Optimization and Reinforcement Learning
  • Jeongmin Seo
  • 2024
  • Jeongmin Seo. (2024). An Efficient Content Delivery for LEO Satellite ISL Networks with Lyapunov Optimization and Reinforcement Learning. doi: 10.22677/THESIS.200000802805
  • DGIST
  • View : 113
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Thesis
An Efficient Path Planning Algorithm Guided by Obstacle Information
  • Minsu Kim
  • 2023
  • Minsu Kim. (2023). An Efficient Path Planning Algorithm Guided by Obstacle Information. doi: 10.22677/THESIS.200000688737
  • DGIST
  • View : 90
  • Download : 0
Thesis
Analysis on In-Vehicle Network Latency for Advanced Driver Assistance System
  • Minji Cho
  • 2023
  • Minji Cho. (2023). Analysis on In-Vehicle Network Latency for Advanced Driver Assistance System. doi: 10.22677/THESIS.200000657833
  • DGIST
  • View : 199
  • Download : 0
Thesis
Computing-Network Load Balancing Techniques with Shared Workloads for Connected Autonomous Vehicles
  • Sinuk Choi
  • 2024
  • Sinuk Choi. (2024). Computing-Network Load Balancing Techniques with Shared Workloads for Connected Autonomous Vehicles. doi: 10.22677/THESIS.200000725172
  • DGIST
  • View : 112
  • Download : 0
Thesis
Critical Beam Based Interference Management for Low Complexity in 5G mmWave Networks
  • Suyoung Ahn
  • 2022
  • Suyoung Ahn. (2022). Critical Beam Based Interference Management for Low Complexity in 5G mmWave Networks. doi: 10.22677/thesis.200000597006
  • DGIST
  • View : 232
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Thesis
Dynamic Secure Code Offloading for Energy Minimization in LEO Satellite Edge Computing
  • Jeongsoo Kim
  • 2025
  • Jeongsoo Kim. (2025). Dynamic Secure Code Offloading for Energy Minimization in LEO Satellite Edge Computing. doi: 10.22677/THESIS.200000841029
  • DGIST
  • View : 263
  • Download : 0
Thesis
Efficient Design of Secure IoT Data Sharing with Fine-grained Access Control
  • Woojin Jeon
  • 2022
  • Woojin Jeon. (2022). Efficient Design of Secure IoT Data Sharing with Fine-grained Access Control. doi: 10.22677/thesis.200000627132
  • DGIST
  • View : 196
  • Download : 0
Thesis
Efficient Transmission Techniques for Emerging 3D Wireless Networks
  • Chanwon Park
  • 2023
  • Chanwon Park. (2023). Efficient Transmission Techniques for Emerging 3D Wireless Networks. doi: 10.22677/THESIS.200000687229
  • DGIST
  • View : 75
  • Download : 0
Thesis
Energy-efficient Task Offloading and Sensing Decision for Edge Computing-enabled Vehicular Networks
  • Hewon cho
  • 2023
  • Hewon cho. (2023). Energy-efficient Task Offloading and Sensing Decision for Edge Computing-enabled Vehicular Networks. doi: 10.22677/THESIS.200000687729
  • DGIST
  • View : 116
  • Download : 0
Thesis
Fast Routing With Rule Caching in Lossy Mobile SDN
  • Janghan Kim
  • 2024
  • Janghan Kim. (2024). Fast Routing With Rule Caching in Lossy Mobile SDN. doi: 10.22677/THESIS.200000731013
  • DGIST
  • View : 53
  • Download : 0
Thesis
Hierarchical Network Slicing leveraging Dynamic Optimization and Learning in Open-RAN Architecture
  • Han Jong Won
  • 2025
  • Han Jong Won. (2025). Hierarchical Network Slicing leveraging Dynamic Optimization and Learning in Open-RAN Architecture. doi: 10.22677/THESIS.200000847726
  • DGIST
  • View : 427
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Thesis
Intelligent Network Slicing Architecture for Edge Computing-Enabled LEO Satellite Networks
  • Taeyeoun Kim
  • 2024
  • Taeyeoun Kim. (2024). Intelligent Network Slicing Architecture for Edge Computing-Enabled LEO Satellite Networks. doi: 10.22677/THESIS.200000723479
  • DGIST
  • View : 271
  • Download : 0
Thesis
Latency Reduction in Dynamic Network through Predictive Link Caching in SDN
  • Doosik Um
  • 2025
  • Doosik Um. (2025). Latency Reduction in Dynamic Network through Predictive Link Caching in SDN. doi: 10.22677/THESIS.200000840774
  • DGIST
  • View : 2829
  • Download : 0
Thesis
Modeling and Optimization of Network Resource Allocation for Edge Computing-Enabled Integrated Access and Backhaul Networks
  • Mingun Kim
  • 2025
  • Mingun Kim. (2025). Modeling and Optimization of Network Resource Allocation for Edge Computing-Enabled Integrated Access and Backhaul Networks. doi: 10.22677/THESIS.200000840198
  • DGIST
  • View : 182
  • Download : 0
Thesis
Performance Analysis of Object Detection Depending on Reliability of Cellular V2X
  • Dongyoon Kwon
  • 2023
  • Dongyoon Kwon. (2023). Performance Analysis of Object Detection Depending on Reliability of Cellular V2X. doi: 10.22677/THESIS.200000656994
  • DGIST
  • View : 104
  • Download : 0
Thesis
Performance Evaluation of Lane Keeping Assistance System According to In-vehicle Network Latency
  • Hoseung Song
  • 2022
  • Hoseung Song. (2022). Performance Evaluation of Lane Keeping Assistance System According to In-vehicle Network Latency. doi: 10.22677/thesis.200000596172
  • DGIST
  • View : 288
  • Download : 0
Thesis
Practical Resource Allocation for Utility Maximization in MIMO-based 5G Cellular Systems
  • Joonpyo Hong
  • 2022
  • Joonpyo Hong. (2022). Practical Resource Allocation for Utility Maximization in MIMO-based 5G Cellular Systems. doi: 10.22677/thesis.200000629971
  • DGIST
  • View : 202
  • Download : 0
Thesis
Precoding Design for Multi-user Multi-antenna Systems in Emerging Networks
  • Minsu Kim
  • 2023
  • Minsu Kim. (2023). Precoding Design for Multi-user Multi-antenna Systems in Emerging Networks. doi: 10.22677/THESIS.200000654685
  • DGIST
  • View : 262
  • Download : 0
Thesis
Proposal of V2X Application for Safety: Speeding Enforcement and Video Sharing System
  • Daewon Kim
  • 2022
  • Daewon Kim. (2022). Proposal of V2X Application for Safety: Speeding Enforcement and Video Sharing System. doi: 10.22677/thesis.200000595393
  • DGIST
  • View : 221
  • Download : 0
Thesis
Revealing Insights for Small Cell Networks via Optimization and Deep Reinforcement Learning
  • Pildo Yoon
  • 2024
  • Pildo Yoon. (2024). Revealing Insights for Small Cell Networks via Optimization and Deep Reinforcement Learning. doi: 10.22677/THESIS.200000724592
  • DGIST
  • View : 58
  • Download : 0
Thesis
Sampling Period Optimization for QoS Guarantee in the Internet of Battlefield Things
  • Gwangjin Wi
  • 2023
  • Gwangjin Wi. (2023). Sampling Period Optimization for QoS Guarantee in the Internet of Battlefield Things. doi: 10.22677/THESIS.200000656402
  • DGIST
  • View : 113
  • Download : 0
Thesis
Satellite Network Design with High Frequency and Optical Communication
  • Yonghwa Lee
  • 2022
  • Yonghwa Lee. (2022). Satellite Network Design with High Frequency and Optical Communication. doi: 10.22677/thesis.200000592128
  • DGIST
  • View : 496
  • Download : 0
Thesis
Satellite System Design for Communication Security and Network Control
  • Suhyeon Jeon
  • 2024
  • Suhyeon Jeon. (2024). Satellite System Design for Communication Security and Network Control. doi: 10.22677/THESIS.200000724580
  • DGIST
  • View : 208
  • Download : 0
Thesis
Timeliness-Aware Controller Deployment for Mission Critical Wireless Networks
  • Seunghyun Lee
  • 2023
  • Seunghyun Lee. (2023). Timeliness-Aware Controller Deployment for Mission Critical Wireless Networks. doi: 10.22677/THESIS.200000684259
  • DGIST
  • View : 90
  • Download : 0
Thesis
Toward Connected Sky: Modeling and Performance Analysis for Cellular-connected UAV Communications
  • Seongjun Kim
  • 2025
  • Seongjun Kim. (2025). Toward Connected Sky: Modeling and Performance Analysis for Cellular-connected UAV Communications. doi: 10.22677/THESIS.200000828362
  • DGIST
  • View : 165
  • Download : 0

Traffic Flow Improvement Using V2X Communications

Thesis
Traffic Flow Improvement Using V2X Communications
  • Seokjoo Koo
  • 2021
  • Seokjoo Koo. (2021). Traffic Flow Improvement Using V2X Communications. doi: 10.22677/thesis.200000497145
  • DGIST
  • View : 249
  • Download : 206
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