23 citations · 25 across the 8 of their papers we have counts for
10 papers
A Family of Open Time-Series Foundation Models for the Radio Access Network
Ioannis Panitsas, Leandros Tassiulas
The Radio Access Network (RAN) is evolving into a programmable and disaggregated infrastructure that increasingly relies on AI-native algorithms for optimization and closed-loop co…
TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis
Austin Feng, Andreas Varvarigos, Ioannis Panitsas +7
Modern enterprises generate vast streams of time series metrics when monitoring complex systems, known as observability data. Unlike conventional time series from domains such as c…
5GC-Bench: A Framework for Stress-Testing and Benchmarking 5G Core VNFs
Ioannis Panitsas, Tolga O. Atalay, Dragoslav Stojadinovic +2
The disaggregated, cloud-native design of the 5G Core (5GC) enables flexibility and scalability but introduces significant challenges. Control-plane procedures involve complex inte…
SlicePilot: Demystifying Network Slice Placement in Heterogeneous Cloud Infrastructures
Ioannis Panitsas, Tolga O. Atalay, Dragoslav Stojadinovic +2
Cellular networks are comprised of software-based entities, with main functions encapsulated as Virtual Network Functions (VNFs) deployed on Commercial-off-the-Shelf (COTS) hardwar…
D2Q Synchronizer: Distributed SDN Synchronization for Time Sensitive Applications
Ioannis Panitsas, Akrit Mudvari, Leandros Tassiulas
In distributed Software-Defined Networking (SDN), distributed SDN controllers require synchronization to maintain a global network state. Despite the availability of synchronizatio…
FedJam: Multimodal Federated Learning Framework for Jamming Detection
Ioannis Panitsas, Iason Ofeidis, Leandros Tassiulas
Jamming attacks pose a critical threat to wireless networks, yet existing detection methods remain largely unimodal, centralized and resource-intensive, limiting their performance,…
JamShield: A Machine Learning Detection System for Over-the-Air Jamming Attacks
Ioannis Panitsas, Yagmur Yigit, Leandros Tassiulas +2
Wireless networks are vulnerable to jamming attacks due to the shared communication medium, which can severely degrade performance and disrupt services. Despite extensive research,…
Predictive Handover Strategy in 6G and Beyond: A Deep and Transfer Learning Approach
Ioannis Panitsas, Akrit Mudvari, Ali Maatouk +1
Next-generation cellular networks will evolve into more complex and virtualized systems, employing machine learning for enhanced optimization and leveraging higher frequency bands…
Constrained Reinforcement Learning for Adaptive Controller Synchronization in Distributed SDN
Ioannis Panitsas, Akrit Mudvari, Leandros Tassiulas
In software-defined networking (SDN), the implementation of distributed SDN controllers, with each controller responsible for managing a specific sub-network or domain, plays a cri…
Cyber-Twin: Digital Twin-boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks
Yagmur Yigit, Ioannis Panitsas, Leandros Maglaras +2
The rapid evolution of Vehicular Ad-hoc NETworks (VANETs) has ushered in a transformative era for intelligent transportation systems (ITS), significantly enhancing road safety and…