SKOCAJ, MARCO
SKOCAJ, MARCO
DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI"
Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements
2023 Skocaj, Marco; Conserva, Francesca; Grande, Nicol Sarcone; Orsi, Andrea; Micheli, Davide; Ghinamo, Giorgio; Bizzarri, Simone; Verdone, Roberto
Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs
2023 Lorenzo Mario Amorosa; Marco Skocaj; Roberto Verdone; Deniz Gündüz
Multi-Band Measurements for Deep Learning-Based Dynamic Channel Prediction and Simulation
2023 Pasic, Faruk; Di Cicco, Nicola; Skocaj, Marco; Tornatore, Massimo; Schwarz, Stefan; Mecklenbräuker, Christoph F.; Degli-Esposti, Vittorio
Vehicle-to-Everything (V2X) Datasets for Machine Learning-Based Predictive Quality of Service
2023 Skocaj, Marco; Di Cicco, Nicola; Zugno, Tommaso; Boban, Mate; Blumenstein, Jiri; Prokes, Ales; Mikulasek, Tomas; Vychodil, Josef; Mikhaylov, Konstantin; Tornatore, Massimo; Degli-Esposti, Vittorio
Cellular network capacity and coverage enhancement with MDT data and Deep Reinforcement Learning
2022 Marco Skocaj; Lorenzo M. Amorosa; Giorgio Ghinamo; Giuliano Muratore; Davide Micheli; Flavio Zabini; Roberto Verdone
A KPI-based self-optimization algorithm for inter-frequency handover in 4G/5G networks
2021 Skocaj M.; Orsi A.; Franchini F.; Verdone R.
Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
---|---|---|---|---|---|---|
Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements | Skocaj, Marco; Conserva, Francesca; Grande, Nicol Sarcone; Orsi, Andrea; Micheli, Davide; Ghinamo..., Giorgio; Bizzarri, Simone; Verdone, Roberto | 2023-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs | Lorenzo Mario Amorosa; Marco Skocaj; Roberto Verdone; Deniz Gündüz | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
Multi-Band Measurements for Deep Learning-Based Dynamic Channel Prediction and Simulation | Pasic, Faruk; Di Cicco, Nicola; Skocaj, Marco; Tornatore, Massimo; Schwarz, Stefan; Mecklenbräuke...r, Christoph F.; Degli-Esposti, Vittorio | 2023-01-01 | IEEE COMMUNICATIONS MAGAZINE | - | 1.01 Articolo in rivista | multiband measurements for deep learning post print.pdf |
Vehicle-to-Everything (V2X) Datasets for Machine Learning-Based Predictive Quality of Service | Skocaj, Marco; Di Cicco, Nicola; Zugno, Tommaso; Boban, Mate; Blumenstein, Jiri; Prokes, Ales; Mi...kulasek, Tomas; Vychodil, Josef; Mikhaylov, Konstantin; Tornatore, Massimo; Degli-Esposti, Vittorio | 2023-01-01 | IEEE COMMUNICATIONS MAGAZINE | - | 1.01 Articolo in rivista | vehicle to everything datasets post print.pdf |
Cellular network capacity and coverage enhancement with MDT data and Deep Reinforcement Learning | Marco Skocaj; Lorenzo M. Amorosa; Giorgio Ghinamo; Giuliano Muratore; Davide Micheli; Flavio Zabi...ni; Roberto Verdone | 2022-01-01 | COMPUTER COMMUNICATIONS | - | 1.01 Articolo in rivista | cellular network post print.pdf |
A KPI-based self-optimization algorithm for inter-frequency handover in 4G/5G networks | Skocaj M.; Orsi A.; Franchini F.; Verdone R. | 2021-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |