4 citations · 4 across the 5 of their papers we have counts for
5 papers
inRAN: Interpretable Online Bayesian Learning for Network Automation in Open Radio Access Networks
Ming Zhao, Yuru Zhang, Qiang Liu +2
Emerging AI/ML techniques have been showing great potential in automating network control in open radio access networks (Open RAN). However, existing approaches heavily rely on bla…
Odin: Effective End-to-End SLA Decomposition for 5G/6G Network Slicing via Online Learning
Duo Cheng, Ramanujan K Sheshadri, Ahan Kak +3
Network slicing plays a crucial role in realizing 5G/6G advances, enabling diverse Service Level Agreement (SLA) requirements related to latency, throughput, and reliability. Since…
InSlicing: Interpretable Learning-Assisted Network Slice Configuration in Open Radio Access Networks
Ming Zhao, Yuru Zhang, Qiang Liu +2
Network slicing is a key technology enabling the flexibility and efficiency of 5G networks, offering customized services for diverse applications. However, existing methods face ch…
AdaSlicing: Adaptive Online Network Slicing under Continual Network Dynamics in Open Radio Access Networks
Ming Zhao, Yuru Zhang, Qiang Liu +2
Open radio access networks (e.g., O-RAN) facilitate fine-grained control (e.g., near-RT RIC) in next-generation networks, necessitating advanced AI/ML techniques in handling online…
HexRAN: A Programmable Approach to Open RAN Base Station System Design
Ahan Kak, Van-Quan Pham, Huu-Trung Thieu +1
In recent years, the radio access network (RAN) domain has witnessed a sea change with increasing levels of virtualization and softwarization driven by emerging paradigms such as t…