29 citations · 50 across the 6 of their papers we have counts for
10 papers
A Generative Approach for Production-Aware Industrial Network Traffic Modeling
Alessandro Lieto, Qi Liao, Christian Bauer
The new wave of digitization induced by Industry 4.0 calls for ubiquitous and reliable connectivity to perform and automate industrial operations. 5G networks can afford the extrem…
Knowledge Transfer in Deep Reinforcement Learning for Slice-Aware Mobility Robustness Optimization
Qi Liao, Tianlun Hu, Dan Wellington
The legacy mobility robustness optimization (MRO) in self-organizing networks aims at improving handover performance by optimizing cell-specific handover parameters. However, such…
Inter-Cell Slicing Resource Partitioning via Coordinated Multi-Agent Deep Reinforcement Learning
Tianlun Hu, Qi Liao, Qiang Liu +2
Network slicing enables the operator to configure virtual network instances for diverse services with specific requirements. To achieve the slice-aware radio resource scheduling, d…
Leveraging Machine Learning for Industrial Wireless Communications
Ilaria Malanchini, Patrick Agostini, Khurshid Alam +10
Two main trends characterize today's communication landscape and are finding their way into industrial facilities: the rollout of 5G with its distinct support for vertical industri…
An End-to-End Performance Analysis for Service Chaining in a Virtualized Network
Emmanouil Fountoulakis, Qi Liao, Nikolaos Pappas
Future mobile networks supporting Internet of Things are expected to provide both high throughput and low latency to user-specific services. One way to overcome this challenge is t…
Traversing Virtual Network Functions from the Edge to the Core: An End-to-End Performance Analysis
Emmanouil Fountoulakis, Qi Liao, Manuel Stein +1
Future mobile networks supporting Internet of Things are expected to provide both high throughput and low latency to user-specific services. One way to overcome this challenge is t…