Eugenio Moro

Education

MSc course of Telecommunications Engineering at Politecnico di Milano, where he graduated cum laude in 2019

Eugenio Moro is a PhD student at Politecnico di Milano, Department of Electronics, Information and Bioengineering and currently a visiting scholar at Northeastern University, Boston MA. His research area is Telecommunication, with a focus on optimization techniques and game theory applied to wireless networks. In 2016, he received his bachelor’s degree in information engineering at Università del Salento. In 2017, he was enrolled in the MSc course of Telecommunications Engineering at Politecnico di Milano, where he graduated cum laude in 2019. His thesis, developed in Nokia Bell Labs Stuttgart (Germany), focused on an automated mechanism for resource scheduling for 5G network slices based on a gametheoretical approach. In 2019, he enrolled in the Information Technology PhD program of Politecnico di Milano.

Publications

2023

Conference Papers

E. Moro, G. Gemmi, M. Polese, L. Maccari, A. Capone, and T. Melodia. “Toward Open Integrated Access and Backhaul with O-RAN.” Proc. of the 21st Mediterranean Communication and Computer Networking Conference (MedComNet 2023) (2023)Conference

DOI

E. Moro, M. Polese, A. Capone, and T. Melodia. “An Open RAN Framework for the Dynamic Control of 5G Service Level Agreements.” 2023 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) (NFV-SDN'23) (2023)Conference

DOI arXiv

2022

Journals & Magazines

A. Lieto, I. Malanchini, S. Mandelli, E. Moro, and A. Capone. “Strategic Network Slicing Management in Radio Access Networks.” IEEE Transactions on Mobile Computing (2022)Journal

DOI

Conference Papers

E. Moro, M. Polese, I. Filippini, S. Basagni, A. Capone, and T. Melodia. “IABEST: An Integrated Access and Backhaul 5G Testbed for Large-scale Experimentation.” Proc. of ACM MobiCom Demos (2022)Conference

DOI

P. Fiore, E. Moro, I. Filippini, A. Capone, and D. De Donno. “Boosting 5G mm-Wave IAB Reliability with Reconfigurable Intelligent Surfaces.” 2022 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE WCNC 2022) (2022)Conference

DOI

The introduction of the mm-Wave spectrum into 5G NR promises to bring about unprecedented data throughput to future mobile wireless networks but comes with several challenges. Network densification has been proposed as a viable solution to increase RAN resilience, and the newly introduced IAB is considered a key enabling technology with compelling cost-reducing opportunities for such dense deployments. Reconfigurable Intelligent Surfaces (RIS) have recently gained extreme popularity as they can create Smart Radio Environments by EM wave manipulation and behave as inexpensive passive relays. However, it is not yet clear what role this technology can play in a large RAN deployment. With the scope of filling this gap, we study the blockage resilience of realistic mm-Wave RAN deployments that use IAB and RIS. The RAN layouts have been optimised by means of a novel mm-Wave planning tool based on MILP formulation. Numerical results show how adding RISs to IAB deployments can provide high blockage resistance levels while significantly reducing the overall network planning cost

2021

Journals & Magazines

E. Moro and I. Filippini. “Joint Management of Compute and Radio Resources in Mobile Edge Computing: a Market Equilibrium Approach.” IEEE Transactions on Mobile Computing (2021)Journal

DOI

Conference Papers

E. Moro, I. Filippini, A. Capone, and D. De Donno. “Planning Mm-Wave Access Networks With Reconfigurable Intelligent Surfaces.” 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) (2021)Conference

DOI

2019

Conference Papers

A. Lieto, E. Moro, I. Malanchini, S. Mandelli, and A. Capone. “Strategies for Network Slicing Negotiation in a Dynamic Resource Market.” 2019 IEEE 20th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM) (2019)Conference

DOI