Mattia Merluzzi

Orcid: 0000-0001-8538-1268

According to our database1, Mattia Merluzzi authored at least 34 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Innovation Management in 6G Research: The Case of Hexa-X Project.
IEEE Commun. Mag., 2024

2023
Goal-Oriented Communications for the IoT: System Design and Adaptive Resource Optimization.
IEEE Internet Things Mag., December, 2023

Lyapunov-Based Optimization of Edge Resources for Energy-Efficient Adaptive Federated Learning.
IEEE Trans. Green Commun. Netw., March, 2023

The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G.
IEEE Access, 2023

Energy-Efficient Cooperative Inference Via Adaptive Deep Neural Network Splitting at the Edge.
Proceedings of the IEEE International Conference on Communications, 2023

Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Discontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing.
IEEE Trans. Green Commun. Netw., 2022

Dynamic edge computing empowered by reconfigurable intelligent surfaces.
EURASIP J. Wirel. Commun. Netw., 2022

Pervasive Artificial Intelligence in Next Generation Wireless: The Hexa-X Project Perspective.
Proceedings of the Short Paper Proceedings of the First International Workshop on Artificial Intelligence in Beyond 5G and 6G Wireless Networks (AI6G 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI2022), 2022

Reconfigurable Intelligent Surface Aided Mobile Edge Computing over Intermittent mmWave Links.
Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

Dynamic Resource Optimization for Adaptive Federated Learning Empowered by Reconfigurable Intelligent Surfaces.
Proceedings of the IEEE International Conference on Acoustics, 2022

Power Minimizing MEC Offloading with QoS Constraints over RIS-Empowered Communications.
Proceedings of the IEEE Global Communications Conference, 2022

Blue Communications for Edge Computing: the Reconfigurable Intelligent Surfaces Opportunity.
Proceedings of the IEEE Global Communications Conference, 2022

Effective Goal-oriented 6G Communications: the Energy-aware Edge Inferencing Case.
Proceedings of the 2022 Joint European Conference on Networks and Communications & 6G Summit, 2022

Energy-Efficient Dynamic Edge Computing with Electromagnetic Field Exposure Constraints.
Proceedings of the 2022 Joint European Conference on Networks and Communications & 6G Summit, 2022

2021
Beyond private 5G networks: applications, architectures, operator models and technological enablers.
EURASIP J. Wirel. Commun. Netw., 2021

Wireless Edge Machine Learning: Resource Allocation and Trade-Offs.
IEEE Access, 2021

Dynamic Mobile Edge Computing empowered by Reconfigurable Intelligent Surfaces.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Energy Efficient Edge Computing: When Lyapunov Meets Distributed Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

Dynamic Resource Optimization for Adaptive Federated Learning at the Wireless Network Edge.
Proceedings of the IEEE International Conference on Acoustics, 2021

Dynamic Ensemble Inference at the Edge.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Dynamic Computation Offloading in Multi-Access Edge Computing via Ultra-Reliable and Low-Latency Communications.
IEEE Trans. Signal Inf. Process. over Networks, 2020

Dynamic Resource Allocation for Wireless Edge Machine Learning with Latency And Accuracy Guarantees.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020


2019
Resilient Design of 5G Mobile-Edge Computing Over Intermittent mmWave Links.
CoRR, 2019

Joint Resource Allocation for Latency-Constrained Dynamic Computation Offloading with MEC.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference Workshop, 2019

Latency-Constrained Dynamic Computation Offloading with Energy Harvesting IoT Devices.
Proceedings of the IEEE INFOCOM 2019, 2019

Dynamic Joint Resource Allocation and User Assignment in Multi-access Edge Computing.
Proceedings of the IEEE International Conference on Acoustics, 2019

Network Energy Efficient Mobile Edge Computing with Reliability Guarantees.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Optimal Association of Mobile Users to Multi-Access Edge Computing Resources.
Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018

Joint Optimization of Caching and Transport in Proactive Edge Cloud.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Enabling effective Mobile Edge Computing using millimeterwave links.
Proceedings of the 2017 IEEE International Conference on Communications Workshops, 2017

Overbooking radio and computation resources in mmW-mobile edge computing to reduce vulnerability to channel intermittency.
Proceedings of the 2017 European Conference on Networks and Communications, 2017


  Loading...