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04/20/2023
FTMRate: Collision-Immune Distance-based Data Rate Selection for IEEE 802.11 Networks
Data rate selection algorithms for Wi-Fi devices are an important area o...
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01/21/2023
Leveraging Spatial and Temporal Correlations for Network Traffic Compression
The deployment of modern network applications is increasing the network ...
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12/22/2022
RouteNet-Fermi: Network Modeling with Graph Neural Networks
Network models are an essential block of modern networks. For example, t...
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09/21/2022
Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing
Emerging applications such as the metaverse, telesurgery or cloud comput...
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09/01/2022
Reproducibility Companion Paper: Describing Subjective Experiment Consistency by p-Value P-P Plot
In this paper we reproduce experimental results presented in our earlier...
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04/22/2022
Generalised Score Distribution: Underdispersed Continuation of the Beta-Binomial Distribution
A class of discrete probability distributions contains distributions wit...
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02/28/2022
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation
Network modeling is a fundamental tool in network research, design, and ...
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02/04/2022
Generalised Score Distribution: A Two-Parameter Discrete Distribution Accurately Describing Responses from Quality of Experience Subjective Experiments
Subjective responses from Multimedia Quality Assessment (MQA) experiment...
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01/28/2022
RiskNet: Neural Risk Assessment in Networks of Unreliable Resources
We propose a graph neural network (GNN)-based method to predict the dist...
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01/20/2022
Has EU accession boosted patents performance in the EU-13? – A critical evaluation using causal impact analysis with Bayesian structural time-series models
Nowadays innovation is one of the main determinants of economic developm...
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01/18/2022
Fine-grained network traffic prediction from coarse data
ICT systems provide detailed information on computer network traffic. Ho...
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01/18/2022
Bayesian inference of spatial and temporal relations in AI patents for EU countries
In the paper, we propose two models of Artificial Intelligence (AI) pate...
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12/29/2021
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities
Graph neural networks (GNN) have shown outstanding applications in many ...
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10/04/2021
Scaling Graph-based Deep Learning models to larger networks
Graph Neural Networks (GNN) have shown a strong potential to be integrat...
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09/28/2020
Describing Subjective Experiment Consistency by p-Value P-P Plot
There are phenomena that cannot be measured without subjective testing. ...
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10/16/2019
Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case
Recent advances in Deep Reinforcement Learning (DRL) have shown a signif...
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10/03/2019
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN
Network modeling is a key enabler to achieve efficient network operation...
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09/10/2019
Generalized Score Distribution
A class of discrete probability distributions contains distributions wit...
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03/14/2019
Notation for Subject Answer Analysis
It is believed that consistent notation helps the research community in ...
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01/23/2019
Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN
Network modeling is a critical component for building self-driving Softw...
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01/17/2019