Cooperative Localization in WSNs: a Hybrid Convex/non-Convex Solution. - Nicola Piovesan; Tomaso Erseghe (CoRR, 2016)

Data Analytics for Smart Parking Applications. - Nicola Piovesan; Leo Turi; Enrico Toigo; Borja Martínez; Michele Rossi (Sensors, 2016)

Unsupervised Learning of Representations from Solar Energy Data. - Nicola Piovesan; Paolo Dini (PIMRC, 2018)

Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells. - Dagnachew Azene Temesgene; Nicola Piovesan; Marco Miozzo; Paolo Dini (VTC Fall, 2018)

Optimal direct load control of renewable powered small cells: Performance evaluation and bounds. - Nicola Piovesan; Marco Miozzo; Paolo Dini (WCNC, 2018)

Energy sustainable paradigms and methods for future mobile networks: A survey. - Nicola Piovesan; Ángel Fernández Gambín; Marco Miozzo; Michele Rossi; Paolo Dini (Comput. Commun., 2018)

Optimal direct load control of renewable powered small cells: A shortest path approach. - Nicola Piovesan; Paolo Dini (Internet Technol. Lett., 2018)

Cooperative Localization in WSNs: A Hybrid Convex/Nonconvex Solution. - Nicola Piovesan; Tomaso Erseghe (IEEE Trans. Signal Inf. Process. over Networks, 2018)

Joint Load Control and Energy Sharing for Autonomous Operation of 5G Mobile Networks in Micro-Grids. - Nicola Piovesan; Dagnachew Azene Temesgene; Marco Miozzo; Paolo Dini (IEEE Access, 2019)

Modeling the Environment in Deep Reinforcement Learning: The Case of Energy Harvesting Base Stations. - Nicola Piovesan; Marco Miozzo; Paolo Dini (ICASSP, 2020)

Coordinated Load Control of Renewable Powered Small Base Stations Through Layered Learning. - Marco Miozzo; Nicola Piovesan; Paolo Dini (IEEE Trans. Green Commun. Netw., 2020)

Network resource allocation policies with energy transfer capabilities. - Nicola Piovesan (2020)

Energy Efficiency of Multi-Carrier Massive MIMO Networks: Massive MIMO Meets Carrier Aggregation. - David López-Pérez; Antonio De Domenico; Nicola Piovesan; Xinli Geng; Harvey Bao; Mérouane Debbah (GLOBECOM, 2021)

Mobile Traffic Forecasting for Green 5G Networks. - Nicola Piovesan; Antonio De Domenico; David López-Pérez; Harvey Bao; Xinli Geng; Xie Wang; Mérouane Debbah (GLOBECOM, 2021)

Forecasting Mobile Traffic to Achieve Greener 5G Networks: When Machine Learning is Key. - Nicola Piovesan; Antonio De Domenico; Matteo Bernabé; David López-Pérez; Harvey Baohongqiang; Xinli Geng; Wang Xie; Mérouane Debbah (SPAWC, 2021)

A Survey on 5G Energy Efficiency: Massive MIMO, Lean Carrier Design, Sleep Modes, and Machine Learning. - David López-Pérez; Antonio De Domenico; Nicola Piovesan; Harvey Baohongqiang; Xinli Geng; Qitao Song; Mérouane Debbah (CoRR, 2021)

Joint Load Control and Energy Sharing for Renewable Powered Small Base Stations: A Machine Learning Approach. - Nicola Piovesan; David López-Pérez; Marco Miozzo; Paolo Dini (IEEE Trans. Green Commun. Netw., 2021)

Deep Reinforcement Learning for Autonomous Mobile Networks in Micro-grids. - Marco Miozzo; Nicola Piovesan; Dagnachew Azene Temesgene; Paolo Dini (Deep Learning for Unmanned Systems, 2021)

Carrier Aggregation for Improved Rate versus Power trade-off in Massive MIMO Systems. - Alessio Zappone; David López-Pérez; Antonio De Domenico; Nicola Piovesan; Harvey Bao (GLOBECOM, 2022)

Machine Learning and Analytical Power Consumption Models for 5G Base Stations. - Nicola Piovesan; David López-Pérez; Antonio De Domenico; Xinli Geng; Harvey Bao; Mérouane Debbah (IEEE Commun. Mag., 2022)

A Survey on 5G Radio Access Network Energy Efficiency: Massive MIMO, Lean Carrier Design, Sleep Modes, and Machine Learning. - David López-Pérez; Antonio De Domenico; Nicola Piovesan; Xinli Geng; Harvey Bao; Qitao Song; Mérouane Debbah (IEEE Commun. Surv. Tutorials, 2022)

A Novel Metric for mMIMO Base Station Association for Aerial Highway Systems. - Matteo Bernabé; David López-Pérez; Nicola Piovesan; Giovanni Geraci; David Gesbert (ICC Workshops, 2023)

Power Consumption Modeling of 5G Multi-Carrier Base Stations: A Machine Learning Approach. - Nicola Piovesan; David López-Pérez; Antonio De Domenico; Xinli Geng; Harvey Bao (ICC, 2023)

Sleep Mode Strategies for Energy Efficient Cell-Free Massive MIMO in 5G Deployments. - Felip Riera-Palou; Guillem Femenias; David López-Pérez; Nicola Piovesan; Antonio De Domenico (ICC Workshops, 2023)

Energy efficient cell-free massive MIMO on 5G deployments: sleep modes strategies and user stream management. - Felip Riera-Palou; Guillem Femenias; David López-Pérez; Nicola Piovesan; Antonio De Domenico (CoRR, 2023)

TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge. - Ali Maatouk; Fadhel Ayed; Nicola Piovesan; Antonio De Domenico; Mérouane Debbah; Zhi-Quan Luo (CoRR, 2023)

FlexTrain: A Dynamic Training Framework for Heterogeneous Devices Environments. - Mert Unsal; Ali Maatouk; Antonio De Domenico; Nicola Piovesan; Fadhel Ayed (CoRR, 2023)

Modeling User Transfer During Dynamic Carrier Shutdown in Green 5G Networks. - Antonio De Domenico; David López-Pérez; Wenjie Li 001; Nicola Piovesan; Harvey Bao; Xinli Geng (IEEE Trans. Wirel. Commun., 2023)

Rate, Power, and Energy Efficiency Trade-Offs in Massive MIMO Systems With Carrier Aggregation. - Alessio Zappone; David López-Pérez; Antonio De Domenico; Nicola Piovesan; Harvey Bao (IEEE Trans. Green Commun. Netw., 2023)

Optimal SSB Beam Planning and UAV Cell Selection for 5G Connectivity on Aerial Highways. - Matteo Bernabé; David López-Pérez; Nicola Piovesan; Giovanni Geraci; David Gesbert (GLOBECOM, 2024)

Telco-RAG: Navigating the Challenges of Retrieval Augmented Language Models for Telecommunications. - Andrei-Laurentiu Bornea; Fadhel Ayed; Antonio De Domenico; Nicola Piovesan; Ali Maatouk (GLOBECOM, 2024)

Linguistic Intelligence in Large Language Models for Telecommunications. - Tasnim Ahmed; Nicola Piovesan; Antonio De Domenico; Salimur Choudhury (ICC Workshops, 2024)

Telecom Language Models: Must They Be Large? - Nicola Piovesan; Antonio De Domenico; Fadhel Ayed (PIMRC, 2024)

High Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era. - Tailai Song; David Lopez; Michela Meo; Nicola Piovesan; Daniela Renga (WCNC, 2024)

Data-driven Energy Efficiency Modelling in Large-scale Networks: An Expert Knowledge and ML-based Approach. - David López-Pérez; Antonio De Domenico; Nicola Piovesan; Mérouane Debbah (CoRR, 2024)

Modelling the 5G Energy Consumption using Real-world Data: Energy Fingerprint is All You Need. - Tingwei Chen; Yantao Wang; Hanzhi Chen; Zijian Zhao 002; Xinhao Li; Nicola Piovesan; Guangxu Zhu; Qingjiang Shi (CoRR, 2024)

Hermes: A Large Language Model Framework on the Journey to Autonomous Networks. - Fadhel Ayed; Ali Maatouk; Nicola Piovesan; Antonio De Domenico; Mérouane Debbah; Zhi-Quan Luo (CoRR, 2024)

Capacity and Power Consumption of Multi-Layer 6G Networks Using the Upper Mid-Band. - David López-Pérez; Nicola Piovesan; Giovanni Geraci (CoRR, 2024)

Massive MIMO for Aerial Highways: Enhancing Cell Selection via SSB Beams Optimization. - Matteo Bernabé; David López-Pérez; Nicola Piovesan; Giovanni Geraci; David Gesbert (IEEE Open J. Commun. Soc., 2024)

Waste Factor and Waste Figure: A Unified Theory for Modeling and Analyzing Wasted Power in Radio Access Networks for Improved Sustainability. - Theodore S. Rappaport; Mingjun Ying; Nicola Piovesan; Antonio De Domenico; Dipankar Shakya (IEEE Open J. Commun. Soc., 2024)

Large Language Models for Telecom: Forthcoming Impact on the Industry. - Ali Maatouk; Nicola Piovesan; Fadhel Ayed; Antonio De Domenico; Mérouane Debbah (IEEE Commun. Mag., 2025)

Cell-Free Processing for 5G Massive MIMO Deployments: Sleep Modes and User Stream Management. - Felip Riera-Palou; Guillem Femenias; David López-Pérez; Nicola Piovesan; Antonio De Domenico (IEEE Trans. Veh. Technol., 2025)

Goal-Oriented Time-Series Forecasting: Foundation Framework Design. - Luca-Andrei Fechete; Mohamed Sana; Fadhel Ayed; Nicola Piovesan; Wenjie Li 001; Antonio De Domenico; Tareq Si Salem (CoRR, 2025)

Telco-oRAG: Optimizing Retrieval-augmented Generation for Telecom Queries via Hybrid Retrieval and Neural Routing. - Andrei-Laurentiu Bornea; Fadhel Ayed; Antonio De Domenico; Nicola Piovesan; Tareq Si Salem; Ali Maatouk (CoRR, 2025)

TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving. - Vincenzo Colle; Mohamed Sana; Nicola Piovesan; Antonio De Domenico; Fadhel Ayed; Mérouane Debbah (CoRR, 2025)

Reasoning Language Models for Root Cause Analysis in 5G Wireless Networks. - Mohamed Sana; Nicola Piovesan; Antonio De Domenico; Yibin Kang; Haozhe Zhang; Mérouane Debbah; Fadhel Ayed (CoRR, 2025)