Nicola Piovesan

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Publications

2025

Goal-Oriented Time-Series Forecasting: Foundation Framework Design

Preprint

Submitted

Authors: Luca-Andrei Fechete, Mohamed Sana, Fadhel Ayed, Nicola Piovesan, Wenjie Li, Antonio De Domenico, Tareq Si Salem

Preprint

Capacity and Power Consumption of Multi-Layer 6G Networks Using the Upper Mid-Band

Conference

IEEE International Conference on Communications (ICC), 8-12 June 2025, Montreal (Canada)

Authors: David López-Pérez, Nicola Piovesan, Giovanni Geraci

Preprint

Hermes: A Large Language Model Framework on the Journey to Autonomous Networks

Preprint

Submitted

Authors: Fadhel Ayed, Ali Maatouk, Nicola Piovesan, Antonio De Domenico, Merouane Debbah, Zhi-Quan Luo

2024

Waste Factor and Waste Figure: A Unified Theory for Modeling and Analyzing Wasted Power in Radio Access Networks for Improved Sustainability

Journal

IEEE Open Journal of the Communications Society

Authors: Theodore S. Rappaport, Mingjun Ying, Nicola Piovesan, Antonio De Domenico, Dipankar Shakya

Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for Telecommunications

Conference

IEEE Global Communications Conference (GLOBECOM), 8-12 December 2024, Cape Town (South Africa)

Authors: Andrei-Laurentiu Bornea, Fadhel Ayed, Antonio De Domenico, Nicola Piovesan, Ali Maatouk

Preprint

Cell-free Processing for 5G Massive MIMO Deployments: Sleep Modes and User Stream Management

Journal

IEEE Transactions on Vehicular Technology

Authors: Felip Riera-Palou, Guillem Femenias, David López-Pérez, Nicola Piovesan, Antonio De Domenico

Modelling the 5G Energy Consumption using Real-world Data: Energy Fingerprint is All You Need

Preprint

Submitted

Authors: Tingwei Chen, Yantao Wang, Hanzhi Chen, Zijian Zhao, Xinhao Li, Nicola Piovesan, Guangxu Zhu, Qingjiang Shi

Preprint

Optimal SSB Beam Planning and UAV Cell Selection for 5G Connectivity on Aerial Highways

Preprint

Submitted

Authors: Matteo Bernabè, David López-Pérez, Nicola Piovesan, Giovanni Geraci, David Gesbert

Preprint

Massive MIMO for Aerial Highways: Enhancing Cell Selection via SSB Beams Optimization

Journal

IEEE Open Journal of the Communications Society

Authors: Matteo Bernabè, David López-Pérez, Nicola Piovesan, Giovanni Geraci, David Gesbert

Paper

Telecom Language Models: Must They Be Large?

Conference

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2-5 September 2024, Valencia (Spain)

Authors: Nicola Piovesan, Antonio De Domenico, Fadhel Ayed

Preprint

Linguistic Intelligence in Large Language Models for Telecommunications

Conference

IEEE International Conference on Communications (ICC), 9-13 June 2024, Denver (USA)

Authors: Tasnim Ahmed, Nicola Piovesan, Antonio De Domenico, Salimur Choudhury

Data-driven Energy Efficiency Modelling in Large-scale Networks: An Expert Knowledge and ML-based Approach

Journal

IEEE Transactions on Machine Learning in Communications and Networking

Authors: David López-Pérez, Antonio De Domenico, Nicola Piovesan, Merouane Debbah

High Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era

Conference

IEEE Wireless Communications and Networking Conference, Dubai (United Arab Emirates), 21-24 April 2024

Authors: Tailai Song, David López-Pérez, Michela Meo, Nicola Piovesan, Daniela Renga

2023

FlexTrain: A Dynamic Training Framework for Heterogeneous Devices Environments

Conference

NeurIPS 2023, 10-16 December 2023, New Orleans (USA)

Authors: Mert Unsal, Ali Maatouk, Antonio De Domenico, Nicola Piovesan, Fadhel Ayed

Preprint

TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge

Preprint

Submitted

Authors: Ali Maatouk, Fadhel Ayed, Nicola Piovesan, Antonio De Domenico, Merouane Debbah, Zhi-Quan Luo

Large Language Models for Telecom: Forthcoming Impact on the Industry

Journal

IEEE Communications Magazine

Authors: Ali Maatouk, Nicola Piovesan, Fadhel Ayed, Antonio De Domenico, Merouane Debbah

Rate, Power, and Energy Efficiency trade-offs in Massive MIMO Systems with Carrier Aggregation

Journal

IEEE Transactions on Green Communications and Networking

Authors: Alessio Zappone, David López-Pérez, Antonio De Domenico, Nicola Piovesan, Harvey Bao

Paper

A Novel Metric for mMIMO Base Station Association in Aerial Highway Systems

Conference

IEEE International Conference on Communications (ICC), 28 May-1 June 2023, Rome (Italy)

Authors: Matteo Bernabè, David López-Pérez, Nicola Piovesan, Giovanni Geraci, David Gesbert

Preprint

Sleep mode strategies for energy efficient cell-free massive MIMO in 5G deployments

Conference

IEEE International Conference on Communications (ICC), 28 May-1 June 2023, Rome (Italy)

Authors: Felip Riera-Palou, Guillem Femenias, David López-Pérez, Nicola Piovesan, Antonio De Domenico

Paper

Power Consumption Modeling of 5G Multi-Carrier Base Stations: A Machine Learning Approach

Conference

IEEE International Conference on Communications (ICC), 28 May-1 June 2023, Rome (Italy)

Authors: Nicola Piovesan, David López-Pérez, Antonio De Domenico, Xinli Geng, Harvey Bao

Preprint

Modelling User Transfer during Dynamic Carrier Shutdown in Green 5G Networks

Journal

IEEE Transactions on Wireless Communications

Authors: Antonio De Domenico, David López-Pérez, Wenjie Li, Nicola Piovesan, Harvey Bao, Xinli Geng

Paper
2022

Carrier Aggregation for Improved Rate versus Power trade-off in Massive MIMO Systems

Conference

IEEE Global Communications Conference (GLOBECOM), 4-8 December 2022, Rio de Janeiro (Brazil)

Authors: Alessio Zappone, David López-Pérez, Antonio De Domenico, Nicola Piovesan, Harvey Bao

Paper

Machine Learning and Analytical Power Consumption Models for 5G Base Stations

Journal

IEEE Communications Magazine

Authors: Nicola Piovesan, David López-Pérez, Antonio De Domenico, Xinli Geng, Harvey Bao, Mérouane Debbah

A Survey on 5G Radio Access Network Energy Efficiency: Massive MIMO, Lean Carrier Design, Sleep Modes, and Machine Learning

Journal

IEEE Communications Surveys and Tutorials

Authors: David López-Pérez, Antonio De Domenico, Nicola Piovesan, Harvey Bao, Xinli Geng, Song Qitao, Mérouane Debbah

2021

Mobile Traffic Forecasting for Green 5G Networks

Conference

IEEE Global Communications Conference (GLOBECOM), 7-11 December 2021, Madrid (Spain)

Authors: Nicola Piovesan, Antonio De Domenico, David López-Pérez, Harvey Bao, Xinli Geng, Xie Wang, Mérouane Debbah

Paper

Energy Efficiency of Multi-Carrier Massive MIMO Networks: Massive MIMO Meets Carrier Aggregation

Conference

IEEE Global Communications Conference (GLOBECOM), 7-11 December 2021, Madrid (Spain)

Authors: David López-Pérez, Antonio De Domenico, Nicola Piovesan, Xinli Geng, Harvey Bao, Mérouane Debbah

Paper

Forecasting Mobile Traffic to Achieve Greener 5G Networks: When Machine Learning is Key

Conference

IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 27-30 September 2021, Lucca (Italy)

Authors: Nicola Piovesan, Antonio De Domenico, Matteo Bernabè, David López-Pérez, Harvey Bao, Xinli Geng, Xie Wang, Mérouane Debbah

Paper
2020

Deep Reinforcement Learning for Autonomous Mobile Networks in Micro-Grids

Book Chapter

Deep Learning for Unmanned Systems

Authors: Marco Miozzo, Nicola Piovesan, Dagnachew Temesgene, Paolo Dini

Chapter

Joint Load Control and Energy Sharing for Renewable Powered Small Base Stations: a Machine Learning Approach

Journal

IEEE Transactions on Green Communication and Networking

Authors: Nicola Piovesan, David López-Pérez, Marco Miozzo, Paolo Dini

Paper

Network Resource Allocation Policies with Energy Transfer Capabilities

Thesis

Ph.D. dissertation

Author: Nicola Piovesan

Thesis

Modeling the Environment in Deep Reinforcement Learning: the case of Energy Harvesting Base Stations

Conference

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 4-8 May 2020, Barcelona (Spain)

Authors: Nicola Piovesan, Marco Miozzo, Paolo Dini

Paper
2019

Coordinated Load Control of Renewable Powered Small Base Stations through Layered Learning

Journal

IEEE Transactions on Green Communications and Networking

Authors: Marco Miozzo, Nicola Piovesan, Paolo Dini

Paper

Joint Load Control and Energy Sharing for Autonomous Operation of 5G Mobile Networks in Micro-Grids

Journal

IEEE Access

Authors: Nicola Piovesan, Dagnachew Temesgene, Marco Miozzo, Paolo Dini

Paper
2018

Unsupervised Learning of Representations from Solar Energy Data

Conference

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 9–12 September 2018, Bologna (Italy)

Authors: Nicola Piovesan, Paolo Dini

Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells

Conference

IEEE Vehicular Technology Conference: VTC2018-Fall, 27–30 August 2018, Chicago (USA)

Authors: Dagnachew Temesgene, Nicola Piovesan, Marco Miozzo, Paolo Dini

Preprint

Optimal Direct Load Control of Renewable Powered Small Cells: Performance Evaluation and Bounds

Conference

IEEE Wireless Communications and Networking Conference (WCNC), 15-18 April 2018, Barcelona (Spain)

Authors: Nicola Piovesan, Marco Miozzo, Paolo Dini

Energy sustainable paradigms and methods for future mobile networks: A survey

Journal

Elsevier Computer Communications

Authors: Nicola Piovesan, Angel F. Gambin, Marco Miozzo, Michele Rossi, Paolo Dini

2017

Optimal Direct Load Control of Renewable Powered Small Cells: A Shortest Path Approach

Journal

Internet Technology Letters, Wiley

Authors: Nicola Piovesan, Paolo Dini

Paper
2016

Cooperative Localization in WSNs: a Hybrid Convex/non-Convex Solution

Journal

IEEE Transactions on Signal and Information Processing over Networks

Authors: Nicola Piovesan, Tomaso Erseghe

Data Analytics for Smart Parking Applications

Journal

MDPI Sensors

Authors: Nicola Piovesan, Leo Turi, Enrico Toigo, Borja Martinez, Michele Rossi

Paper

Distributed algorithms for localization in Wireless Sensor Networks

Thesis

M.Sc. thesis

Author: Nicola Piovesan

Thesis
2013

Support Vector Machines for classification and statistical regression

Thesis

B.Sc. thesis

Author: Nicola Piovesan

Thesis