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Nicola Piovesan
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2020 – today
- 2024
- [j13]Matteo Bernabé
, David López-Pérez
Massive MIMO for Aerial Highways: Enhancing Cell Selection via SSB Beams Optimization. IEEE Open J. Commun. Soc. 5: 3975-3996 (2024) - [j12]Theodore S. Rappaport
Waste Factor and Waste Figure: A Unified Theory for Modeling and Analyzing Wasted Power in Radio Access Networks for Improved Sustainability. IEEE Open J. Commun. Soc. 5: 4839-4867 (2024) - [c13]Tasnim Ahmed, Nicola Piovesan, Antonio De Domenico, Salimur Choudhury:
Linguistic Intelligence in Large Language Models for Telecommunications. ICC Workshops 2024: 1237-1243 - [c12]Tailai Song, David Lopez, Michela Meo
High Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era. WCNC 2024: 1-6 - [i19]David López-Pérez, Antonio De Domenico, Nicola Piovesan, Mérouane Debbah:
Data-driven Energy Efficiency Modelling in Large-scale Networks: An Expert Knowledge and ML-based Approach. CoRR abs/2401.00443 (2024) - [i18]Tasnim Ahmed, Nicola Piovesan, Antonio De Domenico, Salimur Choudhury:
Linguistic Intelligence in Large Language Models for Telecommunications. CoRR abs/2402.15818 (2024) - [i17]Nicola Piovesan, Antonio De Domenico, Fadhel Ayed:
Telecom Language Models: Must They Be Large? CoRR abs/2403.04666 (2024) - [i16]Andrei-Laurentiu Bornea, Fadhel Ayed, Antonio De Domenico, Nicola Piovesan, Ali Maatouk:
Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for Telecommunications. CoRR abs/2404.15939 (2024) - [i15]Theodore S. Rappaport, Mingjun Ying, Nicola Piovesan, Antonio De Domenico, Dipankar Shakya:
Waste Factor and Waste Figure: A Unified Theory for Modeling and Analyzing Wasted Power in Radio Access Networks for Improved Sustainability. CoRR abs/2405.07710 (2024) - [i14]Tingwei Chen, Yantao Wang, Hanzhi Chen, Zijian Zhao
Modelling the 5G Energy Consumption using Real-world Data: Energy Fingerprint is All You Need. CoRR abs/2406.16929 (2024) - [i13]Matteo Bernabé, David López-Pérez, Nicola Piovesan, Giovanni Geraci, David Gesbert:
Optimal SSB Beam Planning and UAV Cell Selection for 5G Connectivity on Aerial Highways. CoRR abs/2409.01812 (2024) - 2023
- [j11]Alessio Zappone
Rate, Power, and Energy Efficiency Trade-Offs in Massive MIMO Systems With Carrier Aggregation. IEEE Trans. Green Commun. Netw. 7(3): 1342-1355 (2023) - [j10]Antonio De Domenico
Modeling User Transfer During Dynamic Carrier Shutdown in Green 5G Networks. IEEE Trans. Wirel. Commun. 22(8): 5536-5549 (2023) - [c11]Felip Riera-Palou, Guillem Femenias, David López-Pérez, Nicola Piovesan, Antonio De Domenico:
Sleep Mode Strategies for Energy Efficient Cell-Free Massive MIMO in 5G Deployments. ICC Workshops 2023: 618-624 - [c10]Matteo Bernabé, David López-Pérez, Nicola Piovesan, Giovanni Geraci, David Gesbert:
A Novel Metric for mMIMO Base Station Association for Aerial Highway Systems. ICC Workshops 2023: 1063-1068 - [c9]Nicola Piovesan, David López-Pérez, Antonio De Domenico, Xinli Geng, Harvey Bao:
Power Consumption Modeling of 5G Multi-Carrier Base Stations: A Machine Learning Approach. ICC 2023: 3633-3638 - [i12]Matteo Bernabé, David López-Pérez, Nicola Piovesan, Giovanni Geraci, David Gesbert:
A Novel Metric for mMIMO Base Station Association for Aerial Highway Systems. CoRR abs/2303.13870 (2023) - [i11]Felip Riera-Palou, Guillem Femenias, David López-Pérez, Nicola Piovesan, Antonio De Domenico:
Energy efficient cell-free massive MIMO on 5G deployments: sleep modes strategies and user stream management. CoRR abs/2306.06404 (2023) - [i10]Tailai Song, David Lopez, Michela Meo, Nicola Piovesan, Daniela Renga:
High Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era. CoRR abs/2307.00969 (2023) - [i9]Ali Maatouk, Nicola Piovesan, Fadhel Ayed, Antonio De Domenico, Mérouane Debbah:
Large Language Models for Telecom: Forthcoming Impact on the Industry. CoRR abs/2308.06013 (2023) - [i8]Ali Maatouk, Fadhel Ayed, Nicola Piovesan, Antonio De Domenico, Mérouane Debbah, Zhi-Quan Luo:
TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge. CoRR abs/2310.15051 (2023) - [i7]Mert Unsal, Ali Maatouk, Antonio De Domenico, Nicola Piovesan, Fadhel Ayed:
FlexTrain: A Dynamic Training Framework for Heterogeneous Devices Environments. CoRR abs/2310.20457 (2023) - 2022
- [j9]Nicola Piovesan, David López-Pérez, Antonio De Domenico, Xinli Geng, Harvey Bao, Mérouane Debbah:
Machine Learning and Analytical Power Consumption Models for 5G Base Stations. IEEE Commun. Mag. 60(10): 56-62 (2022) - [j8]David López-Pérez
A Survey on 5G Radio Access Network Energy Efficiency: Massive MIMO, Lean Carrier Design, Sleep Modes, and Machine Learning. IEEE Commun. Surv. Tutorials 24(1): 653-697 (2022) - [c8]Alessio Zappone, David López-Pérez, Antonio De Domenico, Nicola Piovesan, Harvey Bao:
Carrier Aggregation for Improved Rate versus Power trade-off in Massive MIMO Systems. GLOBECOM 2022: 1655-1660 - [i6]Nicola Piovesan, David López-Pérez, Antonio De Domenico, Xinli Geng, Harvey Bao, Mérouane Debbah:
Machine Learning and Analytical Power Consumption Models for 5G Base Stations. CoRR abs/2209.11600 (2022) - [i5]Nicola Piovesan, David López-Pérez, Antonio De Domenico, Xinli Geng, Harvey Bao:
Power Consumption Modeling of 5G Multi-Carrier Base Stations: A Machine Learning Approach. CoRR abs/2212.04318 (2022) - 2021
- [j7]Nicola Piovesan
Joint Load Control and Energy Sharing for Renewable Powered Small Base Stations: A Machine Learning Approach. IEEE Trans. Green Commun. Netw. 5(1): 512-525 (2021) - [c7]David López-Pérez, Antonio De Domenico, Nicola Piovesan
Energy Efficiency of Multi-Carrier Massive MIMO Networks: Massive MIMO Meets Carrier Aggregation. GLOBECOM 2021: 1-7 - [c6]Nicola Piovesan
Mobile Traffic Forecasting for Green 5G Networks. GLOBECOM 2021: 1-6 - [c5]Nicola Piovesan
Forecasting Mobile Traffic to Achieve Greener 5G Networks: When Machine Learning is Key. SPAWC 2021: 276-280 - [p1]Marco Miozzo, Nicola Piovesan
Deep Reinforcement Learning for Autonomous Mobile Networks in Micro-grids. Deep Learning for Unmanned Systems 2021: 259-308 - [i4]David López-Pérez, Antonio De Domenico, Nicola Piovesan, Harvey Baohongqiang, Xinli Geng, Qitao Song, Mérouane Debbah:
A Survey on 5G Energy Efficiency: Massive MIMO, Lean Carrier Design, Sleep Modes, and Machine Learning. CoRR abs/2101.11246 (2021) - 2020
- [b1]Nicola Piovesan:
Network resource allocation policies with energy transfer capabilities. Polytechnic University of Catalonia, Spain, 2020 - [j6]Marco Miozzo
Coordinated Load Control of Renewable Powered Small Base Stations Through Layered Learning. IEEE Trans. Green Commun. Netw. 4(1): 16-30 (2020) - [c4]Nicola Piovesan
Modeling the Environment in Deep Reinforcement Learning: The Case of Energy Harvesting Base Stations. ICASSP 2020: 8996-9000
2010 – 2019
- 2019
- [j5]Nicola Piovesan
Joint Load Control and Energy Sharing for Autonomous Operation of 5G Mobile Networks in Micro-Grids. IEEE Access 7: 31140-31150 (2019) - 2018
- [j4]Nicola Piovesan
Energy sustainable paradigms and methods for future mobile networks: A survey. Comput. Commun. 119: 101-117 (2018) - [j3]Nicola Piovesan
Optimal direct load control of renewable powered small cells: A shortest path approach. Internet Technol. Lett. 1(1) (2018) - [j2]Nicola Piovesan
Cooperative Localization in WSNs: A Hybrid Convex/Nonconvex Solution. IEEE Trans. Signal Inf. Process. over Networks 4(1): 162-172 (2018) - [c3]Nicola Piovesan
Unsupervised Learning of Representations from Solar Energy Data. PIMRC 2018: 1-6 - [c2]Dagnachew Azene Temesgene, Nicola Piovesan
Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells. VTC Fall 2018: 1-6 - [c1]Nicola Piovesan
Optimal direct load control of renewable powered small cells: Performance evaluation and bounds. WCNC 2018: 1-6 - [i3]Nicola Piovesan, Ángel Fernández Gambín, Marco Miozzo, Michele Rossi, Paolo Dini:
Energy sustainable paradigms and methods for future mobile networks: A survey. CoRR abs/1801.07551 (2018) - [i2]Dagnachew Azene Temesgene, Nicola Piovesan, Marco Miozzo, Paolo Dini:
Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells. CoRR abs/1805.12015 (2018) - 2016
- [j1]Nicola Piovesan
Data Analytics for Smart Parking Applications. Sensors 16(10): 1575 (2016) - [i1]Nicola Piovesan, Tomaso Erseghe:
Cooperative Localization in WSNs: a Hybrid Convex/non-Convex Solution. CoRR abs/1604.02838 (2016)
Coauthor Index
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