Mobile network traffic analysis based on probability-informed machine learning approach-Reference-Cited by-同舟云学术

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Mobile network traffic analysis based on probability-informed machine learning approach

Published:2024-06 Issue: Volume:247 Page:110433
ISSN:1389-1286
Container-title:Computer Networks
language:en
Short-container-title:Computer Networks

Author:

Gorshenin Andrey^ORCID,Kozlovskaya Anastasia^ORCID,Gorbunov Sergey^ORCID,Kochetkova Irina^ORCID

Funder

RUDN University

Publisher

Elsevier BV

Reference106 articles.

1. Toward 6G networks: Use cases and technologies;Giordani;IEEE Commun. Mag.,2020

2. Toward multi-functional 6G wireless networks: Integrating sensing, communication, and security;Wei;IEEE Commun. Mag.,2022

3. 6G architecture design: from overall, logical and networking perspective;Duan;IEEE Commun. Mag.,2023

4. The roadmap to 6G: AI empowered wireless networks;Letaief;IEEE Commun. Mag.,2019

5. A tutorial on mathematical modeling of 5G/6G millimeter wave and terahertz cellular systems;Moltchanov;IEEE Commun. Surv. Tutor.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Securing the internet’s backbone: A blockchain-based and incentive-driven architecture for DNS cache poisoning defense;Computer Networks;2024-09

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