6 papers
Large Language Models for Agentic NetOps and AIOps: Architectures, Evaluation, and Safety
Muhammad Bilal, Jon Crowcroft, Ruizhi Wang +2
Large language models are increasingly being used to support network operations (NetOps) and artificial intelligence for IT operations (AIOps), including incident investigation, ro…
Certified Closed-Loop Control for Packet Networks: A Compositional Certification Framework
Muhammad Bilal, Jon Crowcroft, Xiaolong Xu +1
Packet networks are controlled dynamical systems with discontinuities, delayed observations, and partial state information. Adaptive or learning-driven proposers can improve perfor…
Network-Optimised Spiking Neural Network (NOS) Scheduling for 6G O-RAN: Spectral Margin and Delay-Tail Control
Muhammad Bilal, Xiaolong Xu
This work presents a Network-Optimised Spiking (NOS) delay-aware scheduler for 6G radio access. The scheme couples a bounded two-state kernel to a clique-feasible proportional-fair…
Autonomous Trajectory Optimization for UAVs in Disaster Zone Using Henry Gas Optimization Scheme
Zakria Qadir, Muhammad Bilal, Guoqiang Liu +1
The unmanned aerial vehicles (UAVs) in a disaster-prone environment plays important role in assisting the rescue services and providing the internet connectivity with the outside w…
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting
Qingxiang Liu, Sheng Sun, Yuxuan Liang +6
Multiple federated learning (FL) methods are proposed for traffic flow forecasting (TFF) to avoid heavy-transmission and privacy-leaking concerns resulting from the disclosure of r…
Real-time and Downtime-tolerant Fault Diagnosis for Railway Turnout Machines (RTMs) Empowered with Cloud-Edge Pipeline Parallelism
Fan Wu, Muhammad Bilal, Haolong Xiang +3
Railway Turnout Machines (RTMs) are mission-critical components of the railway transportation infrastructure, responsible for directing trains onto desired tracks. For safety assur…