M
Michele Polese
Researcher at Northeastern University
Publications - 127
Citations - 5571
Michele Polese is an academic researcher from Northeastern University. The author has contributed to research in topics: Cellular network & Computer science. The author has an hindex of 25, co-authored 107 publications receiving 2792 citations. Previous affiliations of Michele Polese include University of Padua & Association for Computing Machinery.
Papers
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Journal ArticleDOI
Toward 6G Networks: Use Cases and Technologies
TL;DR: In this paper, the authors provide a full-stack, system-level perspective on 6G scenarios and requirements, and select 6G technologies that can satisfy them either by improving the 5G design or by introducing completely new communication paradigms.
Journal ArticleDOI
IoT: Internet of Threats? A Survey of Practical Security Vulnerabilities in Real IoT Devices
TL;DR: A reasoned comparison of the considered IoT technologies with respect to a set of qualifying security attributes, namely integrity, anonymity, confidentiality, privacy, access control, authentication, authorization, resilience, self organization is concluded.
Posted Content
Towards 6G Networks: Use Cases and Technologies
TL;DR: This article provides a fullstack, system-level perspective on 6G scenarios and requirements, and select 6G technologies that can satisfy them either by improving the 5G design or by introducing completely new communication paradigms.
Journal ArticleDOI
A Tutorial on Beam Management for 3GPP NR at mmWave Frequencies
TL;DR: It will be illustrated that the best strategy depends on the specific environment in which the nodes are deployed, and guidelines to inform the optimal choice as a function of the system parameters are given.
Journal ArticleDOI
End-to-End Simulation of 5G mmWave Networks
Marco Mezzavilla,Menglei Zhang,Michele Polese,Russell Ford,Sourjya Dutta,Sundeep Rangan,Michele Zorzi +6 more
TL;DR: In this article, the authors provide a tutorial on a recently developed full-stack mmWave module integrated into the widely used ns-3 simulator, which includes a number of detailed statistical channel models as well as the ability to incorporate real measurements or ray tracing data.