Characterizing Mobile Service Demands at Indoor Cellular Networks

Author:

Bakirtzis Stefanos1ORCID,Zanella André Felipe2ORCID,Rubrichi Stefania3ORCID,Ziemlicki Cezary3ORCID,Smoreda Zbigniew3ORCID,Wassell Ian4ORCID,Zhang Jie5ORCID,Fiore Marco6ORCID

Affiliation:

1. Ranplan Wireless & University of Cambridge, Cambridge, United Kingdom

2. IMDEA Networks Institute & Universidad Carlos III de Madrid, Madrid, Spain

3. Orange Innovation, Paris, France

4. University of Cambridge, Cambridge, United Kingdom

5. Ranplan Wireless & University of Cambridge, Cambridge & Sheffield, United Kingdom

6. IMDEA Networks Institute, Madrid, Spain

Funder

French National Research Agency

European Commission

Publisher

ACM

Reference61 articles.

1. Next Generation 5G Wireless Networks: A Comprehensive Survey

2. Private 5G: The Future of Industrial Wireless

3. Liat Antwarg , Ronnie Mindlin Miller , Bracha Shapira, and Lior Rokach. 2021 . Explaining anomalies detected by autoencoders using shapley additive explanations. Expert systems with applications, 186, 115736. Liat Antwarg, Ronnie Mindlin Miller, Bracha Shapira, and Lior Rokach. 2021. Explaining anomalies detected by autoencoders using shapley additive explanations. Expert systems with applications, 186, 115736.

4. EM DeepRay: An Expedient, Generalizable, and Realistic Data-Driven Indoor Propagation Model

5. Stefanos Bakirtzis , Marco Fiore , Ian Wassell , and Jie Zhang . Expedient ai-assisted indoor wireless network planning with data-driven propagation models . TechRxiv , ( 2023 ). Stefanos Bakirtzis, Marco Fiore, Ian Wassell, and Jie Zhang. Expedient ai-assisted indoor wireless network planning with data-driven propagation models. TechRxiv, (2023).

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