11 citations · 15 across the 6 of their papers we have counts for
8 papers
HELENA for 5G NR LEO NTN Channel Estimation: A Comparative Evaluation
Miguel Camelo Botero, Nina Slamnik-Kriještorac, Johann Marquez-Barja
Deep Learning (DL)-based channel estimation has shown high accuracy and low latency in terrestrial 5G NR, but Low Earth Orbit (LEO) Non-Terrestrial Networks (NTNs) introduce Dopple…
Towards Trustworthy 6G Network Digital Twins: A Framework for Validating Counterfactual What-If Analysis in Edge Computing Resources
Julian Jimenez Agudelo, Paola Soto, Ayat Zaki-Hindi +5
Network Digital Twins (NDTs) enable safe what-if analysis for 6G cloud-edge infrastructures, but adoption is often limited by fragmented workflows from telemetry to validation. We…
LITE: Lightweight Channel Gain Estimation with Reduced X-Haul CSI Signaling in O-RAN
David Goez, Marco Piazzola, Giulia Costa +6
Cell-Free Massive Multiple-Input Multiple-Output (CF-MaMIMO) in Open Radio Access Network (O-RAN) promises high spectral efficiency but is limited by frequent Channel State Informa…
HELENA: High-Efficiency Learning-based channel Estimation using dual Neural Attention
Miguel Camelo Botero, Esra Aycan Beyazit, Nina Slamnik-Kriještorac +1
Accurate channel estimation is critical for high-performance Orthogonal Frequency-Division Multiplexing systems such as 5G New Radio, particularly under low signal-to-noise ratio a…
Decentralized Multi-Party Multi-Network AI for Global Deployment of 6G Wireless Systems
Merim Dzaferagic, Marco Ruffini, Nina Slamnik-Krijestorac +21
Multiple visions of 6G networks elicit Artificial Intelligence (AI) as a central, native element. When 6G systems are deployed at a large scale, end-to-end AI-based solutions will…
Designing the Network Intelligence Stratum for 6G Networks
Paola Soto, Miguel Camelo, Gines Garcia-Aviles +15
As network complexity escalates, there is an increasing need for more sophisticated methods to manage and operate these networks, focusing on enhancing efficiency, reliability, and…
Designing, Developing, and Validating Network Intelligence for Scaling in Service-Based Architectures based on Deep Reinforcement Learning
Paola Soto, Miguel Camelo, Danny De Vleeschauwer +7
Automating network processes without human intervention is crucial for the complex Sixth Generation (6G) environment. Thus, 6G networks must advance beyond basic automation, relyin…
An optimized application-context relocation approach for Connected and Automated Mobility (CAM)
Nina Slamnik-Kriještorac, Steven Latré, Johann M. Marquez-Barja
In this paper, we study and present a management and orchestration framework for vehicular communications, which enables service continuity for the vehicle via an optimized applica…