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Методи тестування та підвищення ефективності стільникових мереж 5G

За матеріалами наукового повідомлення на засіданні Президії НАН України 15 вересня 2021 року

Методи тестування та підвищення ефективності стільникових мереж 5G

Abstract

Для підвищення ефективності стільникових мереж в Україні можна і потрібно використовувати вже набутий досвід розвинених європейських країн, при цьому удосконалюючи його та розробляючи нові рішення. У статті наведено основні результати, отримані під час виконання робіт за трьома науковими проєктами. Так, у рамках двох проєктів за програмою «Горизонт-2020» (5G-Xcast, 5G-TOURS) одержано нові результати, які дали змогу підвищити ефективність стільникових мереж 5G. Третій проєкт (5GASP) тільки розпочався, проте має амбітну мету, яка полягає в розробленні платформи для автоматизованого тестування та валідації додатків, призначених для використання у мережах п’ятого покоління (5G). To increase the efficiency of cellular networks in Ukraine, it is possible and necessary to use the already gained experience of developed European countries, while improving existing solutions and developing new ones. Thus, within the framework of two research projects under the Horizon 2020 program (5G-Xcast, 5G-TOURS) new results were obtained, which made it possible to increase the efficiency of 5G cellular networks. The third project has just begun, but has an ambitious goal, which is to develop a platform for automated testing and validation of applications developed for use in fifth-generation networks (5GASP). Main results obtained in the process of working on the three projects outlined above are covered in this message.

Subjects by Vocabulary

Microsoft Academic Graph classification: Computer science Process (engineering) Manufacturing engineering 5G

Keywords

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
Average
Average
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