Imparting Full-Duplex Wireless Cellular Communication in 5G Network Using Apache Spark Engine

With regard to the forthcoming requirements for mobile services in 5G networks, several new technologies have recently become the focus of leading-edge research. One of those is in-band full-duplex communications in processing data with bigdata based Apache spark. The idea is to simply employ the sa...

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Main Authors: Jaaz Z.A., Khudhair I.Y., Mehdy H.S., Al Barazanchi I.
Other Authors: 57210340202
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-264222023-05-29T17:10:19Z Imparting Full-Duplex Wireless Cellular Communication in 5G Network Using Apache Spark Engine Jaaz Z.A. Khudhair I.Y. Mehdy H.S. Al Barazanchi I. 57210340202 57202320194 57415451100 57659035200 With regard to the forthcoming requirements for mobile services in 5G networks, several new technologies have recently become the focus of leading-edge research. One of those is in-band full-duplex communications in processing data with bigdata based Apache spark. The idea is to simply employ the same frequency band to simultaneously transmit and receive information, allowing more spectrally efficient communications when compared to the traditional half-duplex or out-of-band full-duplex counterparts. By breaking a long-held assumption in wireless communications, in-band full-duplex. this paper aims to study wireless communication in 5G network with use of bigdata based Apache spark. Particularly, apache spark suppression filters are studied, as well as feedback adaptive filtering is proposed for relay systems with multiple-input multiple-out (MIMO) antennas. In this case, the relay system energy efficiency is maximized by finding the optimal transmit powers, while maintaining a certain individual link quality. For this scenario, the effect of massive MIMO is likewise addressed, and an algorithm that maximizes the system total achievable rate is derived. 5G technologies have pressing security challenges to secure data integrity and privacy in critical wireless communications requiring extensive research before implementing these technologies into use. This paper examines the new possibilities 5G networks offer for wireless network communication with high bandwidth of 90 GHz. The prediction of 5G network bandwidth maximum recoded at 90 GHz on 5 nodes of apache spark at 80% of data trained with total 12 nodes. The main question is will the 5G technology offers sufficient performance for wireless communication. � 2021 Institute of Advanced Engineering and Science (IAES). Final 2023-05-29T09:10:19Z 2023-05-29T09:10:19Z 2021 Conference Paper 10.23919/EECSI53397.2021.9624283 2-s2.0-85122938072 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122938072&doi=10.23919%2fEECSI53397.2021.9624283&partnerID=40&md5=53b1f96ac894815707f312bb0ba6c0a8 https://irepository.uniten.edu.my/handle/123456789/26422 2021-October 123 129 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
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country Malaysia
content_provider Universiti Tenaga Nasional
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description With regard to the forthcoming requirements for mobile services in 5G networks, several new technologies have recently become the focus of leading-edge research. One of those is in-band full-duplex communications in processing data with bigdata based Apache spark. The idea is to simply employ the same frequency band to simultaneously transmit and receive information, allowing more spectrally efficient communications when compared to the traditional half-duplex or out-of-band full-duplex counterparts. By breaking a long-held assumption in wireless communications, in-band full-duplex. this paper aims to study wireless communication in 5G network with use of bigdata based Apache spark. Particularly, apache spark suppression filters are studied, as well as feedback adaptive filtering is proposed for relay systems with multiple-input multiple-out (MIMO) antennas. In this case, the relay system energy efficiency is maximized by finding the optimal transmit powers, while maintaining a certain individual link quality. For this scenario, the effect of massive MIMO is likewise addressed, and an algorithm that maximizes the system total achievable rate is derived. 5G technologies have pressing security challenges to secure data integrity and privacy in critical wireless communications requiring extensive research before implementing these technologies into use. This paper examines the new possibilities 5G networks offer for wireless network communication with high bandwidth of 90 GHz. The prediction of 5G network bandwidth maximum recoded at 90 GHz on 5 nodes of apache spark at 80% of data trained with total 12 nodes. The main question is will the 5G technology offers sufficient performance for wireless communication. � 2021 Institute of Advanced Engineering and Science (IAES).
author2 57210340202
author_facet 57210340202
Jaaz Z.A.
Khudhair I.Y.
Mehdy H.S.
Al Barazanchi I.
format Conference Paper
author Jaaz Z.A.
Khudhair I.Y.
Mehdy H.S.
Al Barazanchi I.
spellingShingle Jaaz Z.A.
Khudhair I.Y.
Mehdy H.S.
Al Barazanchi I.
Imparting Full-Duplex Wireless Cellular Communication in 5G Network Using Apache Spark Engine
author_sort Jaaz Z.A.
title Imparting Full-Duplex Wireless Cellular Communication in 5G Network Using Apache Spark Engine
title_short Imparting Full-Duplex Wireless Cellular Communication in 5G Network Using Apache Spark Engine
title_full Imparting Full-Duplex Wireless Cellular Communication in 5G Network Using Apache Spark Engine
title_fullStr Imparting Full-Duplex Wireless Cellular Communication in 5G Network Using Apache Spark Engine
title_full_unstemmed Imparting Full-Duplex Wireless Cellular Communication in 5G Network Using Apache Spark Engine
title_sort imparting full-duplex wireless cellular communication in 5g network using apache spark engine
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806428234563190784
score 13.214268