29 citations · 106 across the 17 of their papers we have counts for
19 papers
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…
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…
Connections between spectral properties of asymptotic mappings and solutions to wireless network problems
Renato Luís Garrido Cavalcante, Qi Liao, Slawomir Stańczak
In this study we establish connections between asymptotic functions and properties of solutions to important problems in wireless networks. We start by introducing a class of self-…
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…
Dynamic Power Control for Packets with Deadlines
Emmanouil Fountoulakis, Nikolaos Pappas, Qi Liao +2
Wireless devices need to adapt their transmission power according to the fluctuating wireless channel in order to meet constraints of delay sensitive applications. In this paper, w…
Resource Optimization with Flexible Numerology and Frame Structure for Heterogeneous Services
Lei You, Qi Liao, Nikolaos Pappas +1
We explore the potential of optimizing resource allocation with flexible numerology in frequency domain and variable frame structure in time domain, in presence of services with di…
Improving Resource Efficiency with Partial Resource Muting for Future Wireless Networks
Qi Liao, R. L. G. Cavalcante
We propose novel resource allocation algorithms that have the objective of finding a good tradeoff between resource reuse and interference avoidance in wireless networks. To this e…
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…
Dynamic Uplink/Downlink Resource Management in Flexible Duplex-Enabled Wireless Networks
Qi Liao
Flexible duplex is proposed to adapt to the channel and traffic asymmetry for future wireless networks. In this paper, we propose two novel algorithms within the flexible duplex fr…
An Examination of the Benefits of Scalable TTI for Heterogeneous Traffic Management in 5G Networks
Emmanouil Fountoulakis, Nikolaos Pappas, Qi Liao +2
The rapid growth in the number and variety of connected devices requires 5G wireless systems to cope with a very heterogeneous traffic mix. As a consequence, the use of a fixed TTI…
Joint Optimization of Coverage, Capacity and Load Balancing in Self-Organizing Networks
Qi Liao, Daniyal Amir Awan, Slawomir Stanczak
This paper develops an optimization framework for self-organizing networks (SON). The objective is to ensure efficient network operation by a joint optimization of different SON fu…
Dynamic Joint Uplink and Downlink Optimization for Uplink and Downlink Decoupling-Enabled 5G Heterogeneous Networks
Qi Liao, Danish Aziz, Slawomir Stanczak
The concept of user-centric and personalized service in the fifth generation (5G) mobile networks encourages technical solutions such as dynamic asymmetric uplink/downlink resource…
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…