Oct 24, 2023 · Our work contributes to closing that gap, by providing a first characterization of the usage of mobile services across more than 4, 500 cellular ...
This reppository includes code and data for the paper "Characterizing Mobile Service Demands at Indoor Cellular Networks" ...
Ourfindings show how indoor cellular demands are strongly dependenton the nature of the deployment location, which allows anticipatingthe type of demands that ...
Our findings show how indoor cellular demands are strongly dependent on the nature of the deployment location, which allows anticipating the type of demands ...
Clustering nominal data using Unsupervised Binary decision Trees: Comparisons with the state of the art methods. Article.
Authors: Stefanos Bakirtzis; André Felipe Zanella; Stefania Rubrichi; Cezary Ziemlicki; Zbigniew Smoreda; Ian Wassell; Jie Zhang; Marco Fiore. Funders. French ...
Measurements show that changes in location and device orientation can be identified by observing the received signal strength of the connected and neighboring ...
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Our analysis provides a fine-grained categorization of data users based on their usage patterns and sheds light on the potential impact of different users on ...
This work proposes a technology classification and traffic characterization system that can recognize and characterize a wide range of wireless technologies ...
Jul 17, 2024 · As to investigate the wireless channel of 5G network, a channel measurement system based on passive sounding method is proposed in this paper.
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