activity
20162023
most citedSmart Contract SLAs for Dense Small-Cell-as-a-Service

41 citations · 69 across the 17 of their papers we have counts for

collaborators

23 papers

cs.NI2023★ 1 cited

WHO-IS: Wireless Hetnet Optimization using Impact Selection

Thomas Sandholm, Irene Macaluso, Sayandev Mukherjee

We propose a method to first identify users who have the most negative impact on the overall network performance, and then offload them to an orthogonal channel. The feasibility of…

cs.NI2021

Performance of Predictive Indoor mmWave Networks with Dynamic Blockers

Andrea Bonfante, Lorenzo Galati Giordano, Irene Macaluso +1

In this paper, we consider millimeter Wave (mmWave) technology to provide reliable wireless network service within factories where links may experience rapid and temporary fluctuat…

cs.DC2020

Containing Future Epidemics with Trustworthy Federated Systems for Ubiquitous Warning and Response

Dick Carrillo, Lam Duc Nguyen, Pedro H. J. Nardelli +11

In this paper, we propose a global digital platform to avoid and combat epidemics by providing relevant real-time information to support selective lockdowns. It leverages the perva…

cs.NI2020★ 1 cited

Towards scalable user-deployed ultra-dense networks: Blockchain-enabled small cells as a service

Emanuele Di Pascale, Hamed Ahmadi, Linda Doyle +1

Neutral Host Small Cell Providers (SCP) represent a key element of the 5G vision of ultra-dense mobile networks. However, current business models mostly focus on multi-year agreeme…

eess.SP2020

Blind Channel Estimation for Massive MIMO: A Deep Learning Assisted Approach

Parna Sabeti, Arman Farhang, Irene Macaluso +2

Large scale multiple-input multiple-output (MIMO) or Massive MIMO is one of the pivotal technologies for future wireless networks. However, the performance of massive MIMO systems…

eess.SP2019

Energy Efficient WSN: a Cross-layer Graph Signal Processing Solution to Information Redundancy

Alessandro Chiumento, Nicola Marchetti, Irene Macaluso

In this work an iterative solution to build a network lifetime-preserving sampling strategy for WSNs is presented. The paper describes the necessary steps to reconstruct a graph fr…