29 citations · 106 across the 17 of their papers we have counts for
10 papers · 1 filter
Inter-Cell Network Slicing With Transfer Learning Empowered Multi-Agent Deep Reinforcement Learning
Tianlun Hu, Qi Liao, Qiang Liu +1
Network slicing enables operators to efficiently support diverse applications on a common physical infrastructure. The ever-increasing densification of network deployment leads to…
Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning
Tianlun Hu, Qi Liao, Qiang Liu +1
Deep reinforcement learning (DRL) has been increasingly employed to handle the dynamic and complex resource management in network slicing. The deployment of DRL policies in real ne…
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…
Resource Scheduling for Mixed Traffic Types with Scalable TTI in Dynamic TDD Systems
Qi Liao, Paolo Baracca, David Lopez-Perez +1
This paper analyses the performance benefits of a user-centric scheduling approach, exploiting the flexibility of both dynamic time division duplex (TDD) and a variable transmissio…
A Survey of Anticipatory Mobile Networking: Context-Based Classification, Prediction Methodologies, and Optimization Techniques
Nicola Bui, Matteo Cesana, S. Amir Hosseini +3
A growing trend for information technology is to not just react to changes, but anticipate them as much as possible. This paradigm made modern solutions, such as recommendation sys…
Measurement-Adaptive Cellular Random Access Protocols
Anastasios Giovanidis, Qi Liao, Slawomir Stanczak
This work considers a single-cell random access channel (RACH) in cellular wireless networks. Communications over RACH take place when users try to connect to a base station during…