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pro vyhledávání: '"mobile cellular networks"'
Akademický článek
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Autor:
Dong, Bei1,2 (AUTHOR) dongbei@snnu.edu.cn, Su, Yuping1,2 (AUTHOR), Zhou, Yun3 (AUTHOR), Cheng, Shi1,2 (AUTHOR), Wu, Xiaojun1,2 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Jun2023, Vol. 35 Issue 17, p12319-12329. 11p.
The coronavirus (COVID-19) has appeared as the greatest challenge due to its continuous structural evolution as well as the absence of proper antidotes for this particular virus. The virus mainly spreads and replicates itself among mass people throug
Externí odkaz:
http://arxiv.org/abs/2007.02661
Mobile networks possess information about the users as well as the network. Such information is useful for making the network end-to-end visible and intelligent. Big data analytics can efficiently analyze user and network information, unearth meaning
Externí odkaz:
http://arxiv.org/abs/1807.11545
Autor:
Pasarelski, Rosen
Publikováno v:
Сборник доклади от научна конференция „Знание, наука, иновации, технологии” / Proceedings of Knowledge, Science, Innovation, Technology Conference. 1(1):389-400
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1099439
The volume and types of traffic data in mobile cellular networks have been increasing continuously. Meanwhile, traffic data change dynamically in several dimensions such as time and space. Thus, traffic modeling is essential for theoretical analysis
Externí odkaz:
http://arxiv.org/abs/1703.10804
Autor:
Cosovic, Mirsad, Tsitsimelis, Achilleas, Vukobratovic, Dejan, Matamoros, Javier, Anton-Haro, Carles
With transition towards 5G, mobile cellular networks are evolving into a powerful platform for ubiquitous large-scale information acquisition, communication, storage and processing. 5G will provide suitable services for mission-critical and real-time
Externí odkaz:
http://arxiv.org/abs/1703.00178
Autor:
Garah, Messaoud, Oudira, Houcine
Publikováno v:
In Procedia Computer Science 2019 158:295-302
Akademický článek
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