Enhancing the quality of communication of cellular networks using big data applications

Abstract Both software-defined networking and big data have gained approval and preferences from both industry and academia. These two important realms have conventionally been addressed independently in wireless cellular networks. The discussion taken into consideration in this study was to analyze...

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Autores principales: Mozamel Musa Saeed, Mohammed Alsharidah
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Lenguaje:EN
Publicado: SpringerOpen 2021
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Acceso en línea:https://doaj.org/article/f55da529175d4b1381c79c7a39e7f19b
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spelling oai:doaj.org-article:f55da529175d4b1381c79c7a39e7f19b2021-11-21T12:02:23ZEnhancing the quality of communication of cellular networks using big data applications10.1186/s40537-021-00533-82196-1115https://doaj.org/article/f55da529175d4b1381c79c7a39e7f19b2021-11-01T00:00:00Zhttps://doi.org/10.1186/s40537-021-00533-8https://doaj.org/toc/2196-1115Abstract Both software-defined networking and big data have gained approval and preferences from both industry and academia. These two important realms have conventionally been addressed independently in wireless cellular networks. The discussion taken into consideration in this study was to analyze the wireless cellular technologies with the contrast of efficient and enhanced spectral densities at a reduced cost. To accomplish the goal of this study, Welch's method has been used as the core subject. With the aid of previous research and classical techniques, this study has identified that the spectral densities can be enhanced at reduced costs with the help of the power spectral estimation methods. The Welch method gives the result on power spectrum estimation. By reducing the effect of noise, the Welch method is used to calculate the power spectral density of a signal. When data length is increased, Welch's method is considered the best as a conclusion to this paper because excellent results are yielded by it in the area of power spectral density estimation.Mozamel Musa SaeedMohammed AlsharidahSpringerOpenarticleBig dataQuality of serviceSoftware-defined networksSpectral densityWireless cellular networksComputer engineering. Computer hardwareTK7885-7895Information technologyT58.5-58.64Electronic computers. Computer scienceQA75.5-76.95ENJournal of Big Data, Vol 8, Iss 1, Pp 1-20 (2021)
institution DOAJ
collection DOAJ
language EN
topic Big data
Quality of service
Software-defined networks
Spectral density
Wireless cellular networks
Computer engineering. Computer hardware
TK7885-7895
Information technology
T58.5-58.64
Electronic computers. Computer science
QA75.5-76.95
spellingShingle Big data
Quality of service
Software-defined networks
Spectral density
Wireless cellular networks
Computer engineering. Computer hardware
TK7885-7895
Information technology
T58.5-58.64
Electronic computers. Computer science
QA75.5-76.95
Mozamel Musa Saeed
Mohammed Alsharidah
Enhancing the quality of communication of cellular networks using big data applications
description Abstract Both software-defined networking and big data have gained approval and preferences from both industry and academia. These two important realms have conventionally been addressed independently in wireless cellular networks. The discussion taken into consideration in this study was to analyze the wireless cellular technologies with the contrast of efficient and enhanced spectral densities at a reduced cost. To accomplish the goal of this study, Welch's method has been used as the core subject. With the aid of previous research and classical techniques, this study has identified that the spectral densities can be enhanced at reduced costs with the help of the power spectral estimation methods. The Welch method gives the result on power spectrum estimation. By reducing the effect of noise, the Welch method is used to calculate the power spectral density of a signal. When data length is increased, Welch's method is considered the best as a conclusion to this paper because excellent results are yielded by it in the area of power spectral density estimation.
format article
author Mozamel Musa Saeed
Mohammed Alsharidah
author_facet Mozamel Musa Saeed
Mohammed Alsharidah
author_sort Mozamel Musa Saeed
title Enhancing the quality of communication of cellular networks using big data applications
title_short Enhancing the quality of communication of cellular networks using big data applications
title_full Enhancing the quality of communication of cellular networks using big data applications
title_fullStr Enhancing the quality of communication of cellular networks using big data applications
title_full_unstemmed Enhancing the quality of communication of cellular networks using big data applications
title_sort enhancing the quality of communication of cellular networks using big data applications
publisher SpringerOpen
publishDate 2021
url https://doaj.org/article/f55da529175d4b1381c79c7a39e7f19b
work_keys_str_mv AT mozamelmusasaeed enhancingthequalityofcommunicationofcellularnetworksusingbigdataapplications
AT mohammedalsharidah enhancingthequalityofcommunicationofcellularnetworksusingbigdataapplications
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