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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2021
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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) |
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DOAJ |
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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 |
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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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1718419340045320192 |