Nicola Piovesan

Orcid: 0000-0001-5397-5248

According to our database1, Nicola Piovesan authored at least 33 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Linguistic Intelligence in Large Language Models for Telecommunications.
CoRR, 2024

Data-driven Energy Efficiency Modelling in Large-scale Networks: An Expert Knowledge and ML-based Approach.
CoRR, 2024

2023
Rate, Power, and Energy Efficiency Trade-Offs in Massive MIMO Systems With Carrier Aggregation.
IEEE Trans. Green Commun. Netw., September, 2023

Modeling User Transfer During Dynamic Carrier Shutdown in Green 5G Networks.
IEEE Trans. Wirel. Commun., August, 2023

FlexTrain: A Dynamic Training Framework for Heterogeneous Devices Environments.
CoRR, 2023

TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge.
CoRR, 2023

Large Language Models for Telecom: Forthcoming Impact on the Industry.
CoRR, 2023

High Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era.
CoRR, 2023

Energy efficient cell-free massive MIMO on 5G deployments: sleep modes strategies and user stream management.
CoRR, 2023

Sleep Mode Strategies for Energy Efficient Cell-Free Massive MIMO in 5G Deployments.
Proceedings of the IEEE International Conference on Communications, 2023

Power Consumption Modeling of 5G Multi-Carrier Base Stations: A Machine Learning Approach.
Proceedings of the IEEE International Conference on Communications, 2023

A Novel Metric for mMIMO Base Station Association for Aerial Highway Systems.
Proceedings of the IEEE International Conference on Communications, 2023

2022
A Survey on 5G Radio Access Network Energy Efficiency: Massive MIMO, Lean Carrier Design, Sleep Modes, and Machine Learning.
IEEE Commun. Surv. Tutorials, 2022

Machine Learning and Analytical Power Consumption Models for 5G Base Stations.
IEEE Commun. Mag., 2022

Carrier Aggregation for Improved Rate versus Power trade-off in Massive MIMO Systems.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Deep Reinforcement Learning for Autonomous Mobile Networks in Micro-grids.
Proceedings of the Deep Learning for Unmanned Systems, 2021

Joint Load Control and Energy Sharing for Renewable Powered Small Base Stations: A Machine Learning Approach.
IEEE Trans. Green Commun. Netw., 2021

A Survey on 5G Energy Efficiency: Massive MIMO, Lean Carrier Design, Sleep Modes, and Machine Learning.
CoRR, 2021

Forecasting Mobile Traffic to Achieve Greener 5G Networks: When Machine Learning is Key.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Mobile Traffic Forecasting for Green 5G Networks.
Proceedings of the IEEE Global Communications Conference, 2021

Energy Efficiency of Multi-Carrier Massive MIMO Networks: Massive MIMO Meets Carrier Aggregation.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Network resource allocation policies with energy transfer capabilities.
PhD thesis, 2020

Coordinated Load Control of Renewable Powered Small Base Stations Through Layered Learning.
IEEE Trans. Green Commun. Netw., 2020

Modeling the Environment in Deep Reinforcement Learning: The Case of Energy Harvesting Base Stations.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Joint Load Control and Energy Sharing for Autonomous Operation of 5G Mobile Networks in Micro-Grids.
IEEE Access, 2019

2018
Cooperative Localization in WSNs: A Hybrid Convex/Nonconvex Solution.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Optimal direct load control of renewable powered small cells: A shortest path approach.
Internet Technol. Lett., 2018

Energy sustainable paradigms and methods for future mobile networks: A survey.
Comput. Commun., 2018

Optimal direct load control of renewable powered small cells: Performance evaluation and bounds.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Unsupervised Learning of Representations from Solar Energy Data.
Proceedings of the 29th IEEE Annual International Symposium on Personal, 2018

2016
Data Analytics for Smart Parking Applications.
Sensors, 2016

Cooperative Localization in WSNs: a Hybrid Convex/non-Convex Solution.
CoRR, 2016


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