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09/07/2023
Enhancing 5G Radio Planning with Graph Representations and Deep Learning
The roll out of new mobile network generations poses hard challenges due...
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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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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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05/27/2022
Network Digital Twin: Context, Enabling Technologies and Opportunities
The proliferation of emergent network applications (e.g., telesurgery, m...
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02/01/2022
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies
The recent growth of emergent network applications (e.g., satellite netw...
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01/04/2022
Digital Twin Network: Opportunities and Challenges
The proliferation of emergent network applications (e.g., AR/VR, telesur...
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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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09/22/2021
ENERO: Efficient Real-Time Routing Optimization
Wide Area Networks (WAN) are a key infrastructure in today's society. Du...
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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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03/22/2018
