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2020 – today
- 2026
[j18]Andrei-Laurentiu Bornea, Fadhel Ayed
, Antonio De Domenico, Nicola Piovesan, Tareq Si Salem, Ali Maatouk:
Telco-oRAG: Optimizing Retrieval-Augmented Generation for Telecom Queries via Hybrid Retrieval and Neural Routing. IEEE J. Sel. Areas Commun. 44: 2334-2347 (2026)- [j17]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. IEEE Netw. 40(2): 253-260 (2026) - [j16]Matteo Bernabè, David López-Pérez, Nicola Piovesan, David Gesbert:
Gradient-Based Optimization of Terrestrial Cellular Networks for Aerial Highways. IEEE Trans. Veh. Technol. 75(5): 8396-8413 (2026) - [c21]Luca-Andrei Fechete, Mohamed Sana, Fadhel Ayed, Nicola Piovesan, Wenjie Li, Antonio De Domenico, Tareq Si Salem:
Goal-Oriented Time-Series Forecasting: Foundation Framework Design. AAAI 2026: 21065-21073 - [i29]Anas Ezzakri, Nicola Piovesan, Mohamed Sana, Antonio De Domenico, Fadhel Ayed, Haozhe Zhang:
TeleTables: A Benchmark for Large Language Models in Telecom Table Interpretation. CoRR abs/2601.04202 (2026) - [i28]David López-Pérez, Nicola Piovesan, Matteo Bernabè:
Capacity and Energy Trade-Offs in FR3 6G Networks Using Real Deployment Data. CoRR abs/2601.13993 (2026) - [i27]Mohamed Sana, Nicola Piovesan, Antonio De Domenico, Fadhel Ayed, Haozhe Zhang:
HPO: Hysteretic Policy Optimization for Stable and Efficient Training under Sparse-Reward Regime. CoRR abs/2605.30201 (2026) - 2025
- [j15]Ali Maatouk, Nicola Piovesan, Fadhel Ayed, Antonio De Domenico, Mérouane Debbah:
Large Language Models for Telecom: Forthcoming Impact on the Industry. IEEE Commun. Mag. 63(1): 62-68 (2025) - [j14]Felip Riera-Palou, Guillem Femenias, David López-Pérez, Nicola Piovesan, Antonio De Domenico:
Cell-Free Processing for 5G Massive MIMO Deployments: Sleep Modes and User Stream Management. IEEE Trans. Veh. Technol. 74(2): 2989-3005 (2025) - [c20]Alexander Maximilian Busch, David López-Pérez, Matteo Bernabè, Nicola Piovesan:
Enhancing Energy Efficiency in Cellular Networks via Power Consumption Model Exchange. GC Workshops 2025: 1507-1512 - [c19]Tingwei Chen, Yantao Wang, Hanzhi Chen, Zijian Zhao, Xinhao Li, Nicola Piovesan, Guangxu Zhu, Qingjiang Shi:
Modelling the 5G Energy Consumption Using Real-world Data: Energy Fingerprint is All You Need. GC Workshops 2025: 1675-1680 - [c18]David López-Pérez, Nicola Piovesan, Giovanni Geraci:
Capacity and Power Consumption of Multi-Layer 6G Networks Using the Upper Mid-Band. ICC 2025: 747-752 - [c17]Felip Riera-Palou, Guillem Femenias, David López-Pérez, Nicola Piovesan, Antonio De Domenico:
Cell-Free Massive MIMO at Midband: Potentials and Risks: (Invited Paper). SPAWC 2025: 1-5 - [i26]Luca-Andrei Fechete, Mohamed Sana, Fadhel Ayed, Nicola Piovesan, Wenjie Li, Antonio De Domenico, Tareq Si Salem:
Goal-Oriented Time-Series Forecasting: Foundation Framework Design. CoRR abs/2504.17493 (2025) - [i25]Andrei-Laurentiu Bornea, Fadhel Ayed, Antonio De Domenico, Nicola Piovesan, Tareq Si Salem, Ali Maatouk:
Telco-oRAG: Optimizing Retrieval-augmented Generation for Telecom Queries via Hybrid Retrieval and Neural Routing. CoRR abs/2505.11856 (2025) - [i24]Vincenzo Colle, Mohamed Sana, Nicola Piovesan, Antonio De Domenico, Fadhel Ayed, Mérouane Debbah:
TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving. CoRR abs/2506.10674 (2025) - [i23]Mohamed Sana, Nicola Piovesan, Antonio De Domenico, Yibin Kang, Haozhe Zhang, Mérouane Debbah, Fadhel Ayed:
Reasoning Language Models for Root Cause Analysis in 5G Wireless Networks. CoRR abs/2507.21974 (2025) - [i22]Dmitry Akulov, Mohamed Sana, Antonio De Domenico, Tareq Si Salem, Nicola Piovesan, Fadhel Ayed:
KVCompose: Efficient Structured KV Cache Compression with Composite Tokens. CoRR abs/2509.05165 (2025) - 2024
- [j13]Matteo Bernabè, David López-Pérez, Nicola Piovesan, Giovanni Geraci, David Gesbert:
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, 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. IEEE Open J. Commun. Soc. 5: 4839-4867 (2024) - [c16]Matteo Bernabè, David López-Pérez, Nicola Piovesan, Giovanni Geraci, David Gesbert:
Optimal SSB Beam Planning and UAV Cell Selection for 5G Connectivity on Aerial Highways. GLOBECOM 2024: 2040-2045 - [c15]Andrei-Laurentiu Bornea, Fadhel Ayed, Antonio De Domenico, Nicola Piovesan, Ali Maatouk:
Telco-RAG: Navigating the Challenges of Retrieval Augmented Language Models for Telecommunications. GLOBECOM 2024: 2359-2364 - [c14]Tasnim Ahmed, Nicola Piovesan, Antonio De Domenico, Salimur Choudhury:
Linguistic Intelligence in Large Language Models for Telecommunications. ICC Workshops 2024: 1237-1243 - [c13]Nicola Piovesan, Antonio De Domenico, Fadhel Ayed:
Telecom Language Models: Must They Be Large? PIMRC 2024: 1-6 - [c12]Tailai Song, David Lopez, Michela Meo, Nicola Piovesan, Daniela Renga:
High Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era. WCNC 2024: 1-6 - [i21]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) - [i20]Tasnim Ahmed, Nicola Piovesan, Antonio De Domenico, Salimur Choudhury:
Linguistic Intelligence in Large Language Models for Telecommunications. CoRR abs/2402.15818 (2024) - [i19]Nicola Piovesan, Antonio De Domenico, Fadhel Ayed:
Telecom Language Models: Must They Be Large? CoRR abs/2403.04666 (2024) - [i18]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) - [i17]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) - [i16]Tingwei Chen, Yantao Wang, Hanzhi Chen, Zijian Zhao, Xinhao Li, Nicola Piovesan, Guangxu Zhu, Qingjiang Shi:
Modelling the 5G Energy Consumption using Real-world Data: Energy Fingerprint is All You Need. CoRR abs/2406.16929 (2024) - [i15]Matteo Bernabè, 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) - [i14]Fadhel Ayed, Ali Maatouk, Nicola Piovesan, Antonio De Domenico, Mérouane Debbah, Zhi-Quan Luo:
Hermes: A Large Language Model Framework on the Journey to Autonomous Networks. CoRR abs/2411.06490 (2024) - [i13]David López-Pérez, Nicola Piovesan, Giovanni Geraci:
Capacity and Power Consumption of Multi-Layer 6G Networks Using the Upper Mid-Band. CoRR abs/2411.09660 (2024) - 2023
- [j11]Alessio Zappone, David López-Pérez, Antonio De Domenico, Nicola Piovesan, Harvey Bao:
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, David López-Pérez, Wenjie Li, Nicola Piovesan, Harvey Bao, Xinli Geng:
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 Bernabè, 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 Bernabè, 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, Antonio De Domenico, Nicola Piovesan, Xinli Geng, Harvey Bao, Qitao Song, Mérouane Debbah:
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, David López-Pérez, Marco Miozzo, Paolo Dini:
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, Xinli Geng, Harvey Bao, Mérouane Debbah:
Energy Efficiency of Multi-Carrier Massive MIMO Networks: Massive MIMO Meets Carrier Aggregation. GLOBECOM 2021: 1-7 - [c6]Nicola Piovesan, Antonio De Domenico, David López-Pérez, Harvey Bao, Xinli Geng, Xie Wang, Mérouane Debbah:
Mobile Traffic Forecasting for Green 5G Networks. GLOBECOM 2021: 1-6 - [c5]Nicola Piovesan, Antonio De Domenico, Matteo Bernabè, David López-Pérez, Harvey Baohongqiang, Xinli Geng, Wang Xie, Mérouane Debbah:
Forecasting Mobile Traffic to Achieve Greener 5G Networks: When Machine Learning is Key. SPAWC 2021: 276-280 - [p1]Marco Miozzo, Nicola Piovesan, Dagnachew Azene Temesgene, Paolo Dini:
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, Nicola Piovesan, Paolo Dini:
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, Marco Miozzo, Paolo Dini:
Modeling the Environment in Deep Reinforcement Learning: The Case of Energy Harvesting Base Stations. ICASSP 2020: 8996-9000
2010 – 2019
- 2019
- [j5]Nicola Piovesan, Dagnachew Azene Temesgene, Marco Miozzo, Paolo Dini:
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, Ángel Fernández Gambín, Marco Miozzo, Michele Rossi, Paolo Dini:
Energy sustainable paradigms and methods for future mobile networks: A survey. Comput. Commun. 119: 101-117 (2018) - [j3]Nicola Piovesan, Paolo Dini:
Optimal direct load control of renewable powered small cells: A shortest path approach. Internet Technol. Lett. 1(1) (2018) - [j2]Nicola Piovesan, Tomaso Erseghe:
Cooperative Localization in WSNs: A Hybrid Convex/Nonconvex Solution. IEEE Trans. Signal Inf. Process. over Networks 4(1): 162-172 (2018) - [c3]Nicola Piovesan, Paolo Dini:
Unsupervised Learning of Representations from Solar Energy Data. PIMRC 2018: 1-6 - [c2]Dagnachew Azene Temesgene, Nicola Piovesan, Marco Miozzo, Paolo Dini:
Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells. VTC Fall 2018: 1-6 - [c1]Nicola Piovesan, Marco Miozzo, Paolo Dini:
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, Leo Turi, Enrico Toigo, Borja Martínez, Michele Rossi:
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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last updated on 2026-07-21 00:16 CEST by the dblp team
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