4 papers
Automated Model Design using Gated Neuron Selection in Telecom
Adam Orucu, Marcus Medhage, Farnaz Moradi +2
The telecommunications industry is experiencing rapid growth in adopting deep learning for critical tasks such as traffic prediction, signal strength prediction, and quality of ser…
On Measuring Available Capacity in High-speed Cloud Networks
Ganapathy Raman Madanagopal, Christofer Flinta, Andreas Johnsson +2
Measurement of available path capacity with high accuracy over high-speed links deployed in cloud and transport networks is vital for performance assessment and traffic engineering…
Towards Neural Architecture Search for Transfer Learning in 6G Networks
Adam Orucu, Farnaz Moradi, Masoumeh Ebrahimi +1
The future 6G network is envisioned to be AI-native, and as such, ML models will be pervasive in support of optimizing performance, reducing energy consumption, and in coping with…
Using Large Language Models to Understand Telecom Standards
Athanasios Karapantelakis, Mukesh Thakur, Alexandros Nikou +6
The Third Generation Partnership Project (3GPP) has successfully introduced standards for global mobility. However, the volume and complexity of these standards has increased over…