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Nicola Piovesan

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

14

Venues

6

Active years

2018–2026

Best venue rank

A*

Where they publish

Papers

14 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIGoal-Oriented Time-Series Forecasting: Foundation Framework Design.Luca-Andrei Fechete, Mohamed Sana, Fadhel Ayed, Nicola Piovesan, Wenjie Li, Antonio De Domenico, Tareq Si Salem
2025GLOBECOMEnhancing Energy Efficiency in Cellular Networks via Power Consumption Model Exchange.Alexander Maximilian Busch, David Lpez-Prez, Matteo Bernab, Nicola Piovesan
2025GLOBECOMModelling the 5G Energy Consumption Using Real-world Data: Energy Fingerprint is All You Need.Tingwei Chen, Yantao Wang, Hanzhi Chen, Zijian Zhao, Xinhao Li, Nicola Piovesan, Guangxu Zhu, Qingjiang Shi
2024GLOBECOMOptimal SSB Beam Planning and UAV Cell Selection for 5G Connectivity on Aerial Highways.Matteo Bernab, David Lpez-Prez, Nicola Piovesan, Giovanni Geraci, David Gesbert
2024GLOBECOMTelco-RAG: Navigating the Challenges of Retrieval Augmented Language Models for Telecommunications.Andrei-Laurentiu Bornea, Fadhel Ayed, Antonio De Domenico, Nicola Piovesan, Ali Maatouk
2024PIMRCTelecom Language Models: Must They Be Large?Nicola Piovesan, Antonio De Domenico, Fadhel Ayed
2024WCNCHigh Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era.Tailai Song, David Lopez, Michela Meo, Nicola Piovesan, Daniela Renga
2022GLOBECOMCarrier Aggregation for Improved Rate versus Power trade-off in Massive MIMO Systems.Alessio Zappone, David Lpez-Prez, Antonio De Domenico, Nicola Piovesan, Harvey Bao
2021GLOBECOMEnergy Efficiency of Multi-Carrier Massive MIMO Networks: Massive MIMO Meets Carrier Aggregation.David Lpez-Prez, Antonio De Domenico, Nicola Piovesan, Xinli Geng, Harvey Bao, Mrouane Debbah
2021GLOBECOMMobile Traffic Forecasting for Green 5G Networks.Nicola Piovesan, Antonio De Domenico, David Lpez-Prez, Harvey Bao, Xinli Geng, Xie Wang, Mrouane Debbah
2020ICASSPModeling the Environment in Deep Reinforcement Learning: The Case of Energy Harvesting Base Stations.Nicola Piovesan, Marco Miozzo, Paolo Dini
2018PIMRCUnsupervised Learning of Representations from Solar Energy Data.Nicola Piovesan, Paolo Dini
2018VTCOptimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells.Dagnachew Azene Temesgene, Nicola Piovesan, Marco Miozzo, Paolo Dini
2018WCNCOptimal direct load control of renewable powered small cells: Performance evaluation and bounds.Nicola Piovesan, Marco Miozzo, Paolo Dini