Artificial Intelligence in 5G Technology: Overview of System Models

The occurrence of various devices that are interlinked to provide advanced connectivity throughout the systems revolves around the formation of 5G systems. Artificial Intelligence plays a fundamental role in the 5G networks. The popularity and integration of 5G have emerged through advanced cellular...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Asia Pacific Journal of Energy and Environment 2021, Vol.8 (1), p.7-16
Hauptverfasser: Rahman, Md. Mostafijur, Manavalan, Mani, Neogy, Taposh Kumar
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 16
container_issue 1
container_start_page 7
container_title Asia Pacific Journal of Energy and Environment
container_volume 8
creator Rahman, Md. Mostafijur
Manavalan, Mani
Neogy, Taposh Kumar
description The occurrence of various devices that are interlinked to provide advanced connectivity throughout the systems revolves around the formation of 5G systems. Artificial Intelligence plays a fundamental role in the 5G networks. The popularity and integration of 5G have emerged through advanced cellular networks and many other technologies. This innovative and speedy network has built strong connections in recent years, its conduct in business, personal work, or daily life. Artificial Intelligence and edge computing devices have optimized internet usages in everyday life. The growth of 5G networks is effective in the AI/ML algorithms due to its low latency and high bandwidth, which also performs real-time analysis, reasoning, and optimization. The 5G era has fundamental features that are highlighted among the revolutionary techniques which are most commonly used by cellular device networks, such as the resource management of radio, mobility management, and service management, and so on. This work also integrates the selection of spectrum and access the spectrum which AI-based interface to accomplish demands of 5G. The strategies which are introduced are Fractional Knapsack Greedy-based strategy and Language Hyperplane approach which becomes the basis of subsequently utilized by strategies of Artificial Intelligence for purpose of the selection of spectrum and the right allocation of spectrum for IoT-enabled sensor networks.
doi_str_mv 10.18034/apjee.v8i1.595
format Article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_18034_apjee_v8i1_595</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_18034_apjee_v8i1_595</sourcerecordid><originalsourceid>FETCH-crossref_primary_10_18034_apjee_v8i1_5953</originalsourceid><addsrcrecordid>eNqVzr0OgjAYheHGaCJRZtfegNAWUHQzxL_BOMjg1iB-6GcqNS3BcPcq0QtwOu9ykoeQEWcej1kQ-tnjBuDVMXIvmkUd4oiAi7GIxbH7a8aiPnGtxRMLJiIU8ZQ5JFmYCgvMMVN0W1agFF6gzIFiSaM1TSG_llrpSzOn-xpMjfCkuqCHxlZwpzt9BmWHpFdkyoL73QHxV8s02Yxzo601UMiHwXtmGsmZbLmy5coPV765wf-PFywlSnc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Artificial Intelligence in 5G Technology: Overview of System Models</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Rahman, Md. Mostafijur ; Manavalan, Mani ; Neogy, Taposh Kumar</creator><creatorcontrib>Rahman, Md. Mostafijur ; Manavalan, Mani ; Neogy, Taposh Kumar ; Sr. Architect, Capgemini America, Inc., United States ; Lecturer, Department of Business Administration, First Capital University of Bangladesh, Alamdanga Road, Chuadanga-7200, BANGLADESH ; Ph.D., Department of Accounting and Information Systems (AIS), University of Rajshahi, Rajshahi – 6205, BANGLADESH</creatorcontrib><description>The occurrence of various devices that are interlinked to provide advanced connectivity throughout the systems revolves around the formation of 5G systems. Artificial Intelligence plays a fundamental role in the 5G networks. The popularity and integration of 5G have emerged through advanced cellular networks and many other technologies. This innovative and speedy network has built strong connections in recent years, its conduct in business, personal work, or daily life. Artificial Intelligence and edge computing devices have optimized internet usages in everyday life. The growth of 5G networks is effective in the AI/ML algorithms due to its low latency and high bandwidth, which also performs real-time analysis, reasoning, and optimization. The 5G era has fundamental features that are highlighted among the revolutionary techniques which are most commonly used by cellular device networks, such as the resource management of radio, mobility management, and service management, and so on. This work also integrates the selection of spectrum and access the spectrum which AI-based interface to accomplish demands of 5G. The strategies which are introduced are Fractional Knapsack Greedy-based strategy and Language Hyperplane approach which becomes the basis of subsequently utilized by strategies of Artificial Intelligence for purpose of the selection of spectrum and the right allocation of spectrum for IoT-enabled sensor networks.</description><identifier>ISSN: 2312-2005</identifier><identifier>EISSN: 2312-282X</identifier><identifier>DOI: 10.18034/apjee.v8i1.595</identifier><language>eng</language><ispartof>Asia Pacific Journal of Energy and Environment, 2021, Vol.8 (1), p.7-16</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-crossref_primary_10_18034_apjee_v8i1_5953</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,4010,27904,27905,27906</link.rule.ids></links><search><creatorcontrib>Rahman, Md. Mostafijur</creatorcontrib><creatorcontrib>Manavalan, Mani</creatorcontrib><creatorcontrib>Neogy, Taposh Kumar</creatorcontrib><creatorcontrib>Sr. Architect, Capgemini America, Inc., United States</creatorcontrib><creatorcontrib>Lecturer, Department of Business Administration, First Capital University of Bangladesh, Alamdanga Road, Chuadanga-7200, BANGLADESH</creatorcontrib><creatorcontrib>Ph.D., Department of Accounting and Information Systems (AIS), University of Rajshahi, Rajshahi – 6205, BANGLADESH</creatorcontrib><title>Artificial Intelligence in 5G Technology: Overview of System Models</title><title>Asia Pacific Journal of Energy and Environment</title><description>The occurrence of various devices that are interlinked to provide advanced connectivity throughout the systems revolves around the formation of 5G systems. Artificial Intelligence plays a fundamental role in the 5G networks. The popularity and integration of 5G have emerged through advanced cellular networks and many other technologies. This innovative and speedy network has built strong connections in recent years, its conduct in business, personal work, or daily life. Artificial Intelligence and edge computing devices have optimized internet usages in everyday life. The growth of 5G networks is effective in the AI/ML algorithms due to its low latency and high bandwidth, which also performs real-time analysis, reasoning, and optimization. The 5G era has fundamental features that are highlighted among the revolutionary techniques which are most commonly used by cellular device networks, such as the resource management of radio, mobility management, and service management, and so on. This work also integrates the selection of spectrum and access the spectrum which AI-based interface to accomplish demands of 5G. The strategies which are introduced are Fractional Knapsack Greedy-based strategy and Language Hyperplane approach which becomes the basis of subsequently utilized by strategies of Artificial Intelligence for purpose of the selection of spectrum and the right allocation of spectrum for IoT-enabled sensor networks.</description><issn>2312-2005</issn><issn>2312-282X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqVzr0OgjAYheHGaCJRZtfegNAWUHQzxL_BOMjg1iB-6GcqNS3BcPcq0QtwOu9ykoeQEWcej1kQ-tnjBuDVMXIvmkUd4oiAi7GIxbH7a8aiPnGtxRMLJiIU8ZQ5JFmYCgvMMVN0W1agFF6gzIFiSaM1TSG_llrpSzOn-xpMjfCkuqCHxlZwpzt9BmWHpFdkyoL73QHxV8s02Yxzo601UMiHwXtmGsmZbLmy5coPV765wf-PFywlSnc</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Rahman, Md. Mostafijur</creator><creator>Manavalan, Mani</creator><creator>Neogy, Taposh Kumar</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>2021</creationdate><title>Artificial Intelligence in 5G Technology: Overview of System Models</title><author>Rahman, Md. Mostafijur ; Manavalan, Mani ; Neogy, Taposh Kumar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-crossref_primary_10_18034_apjee_v8i1_5953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Rahman, Md. Mostafijur</creatorcontrib><creatorcontrib>Manavalan, Mani</creatorcontrib><creatorcontrib>Neogy, Taposh Kumar</creatorcontrib><creatorcontrib>Sr. Architect, Capgemini America, Inc., United States</creatorcontrib><creatorcontrib>Lecturer, Department of Business Administration, First Capital University of Bangladesh, Alamdanga Road, Chuadanga-7200, BANGLADESH</creatorcontrib><creatorcontrib>Ph.D., Department of Accounting and Information Systems (AIS), University of Rajshahi, Rajshahi – 6205, BANGLADESH</creatorcontrib><collection>CrossRef</collection><jtitle>Asia Pacific Journal of Energy and Environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rahman, Md. Mostafijur</au><au>Manavalan, Mani</au><au>Neogy, Taposh Kumar</au><aucorp>Sr. Architect, Capgemini America, Inc., United States</aucorp><aucorp>Lecturer, Department of Business Administration, First Capital University of Bangladesh, Alamdanga Road, Chuadanga-7200, BANGLADESH</aucorp><aucorp>Ph.D., Department of Accounting and Information Systems (AIS), University of Rajshahi, Rajshahi – 6205, BANGLADESH</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Artificial Intelligence in 5G Technology: Overview of System Models</atitle><jtitle>Asia Pacific Journal of Energy and Environment</jtitle><date>2021</date><risdate>2021</risdate><volume>8</volume><issue>1</issue><spage>7</spage><epage>16</epage><pages>7-16</pages><issn>2312-2005</issn><eissn>2312-282X</eissn><abstract>The occurrence of various devices that are interlinked to provide advanced connectivity throughout the systems revolves around the formation of 5G systems. Artificial Intelligence plays a fundamental role in the 5G networks. The popularity and integration of 5G have emerged through advanced cellular networks and many other technologies. This innovative and speedy network has built strong connections in recent years, its conduct in business, personal work, or daily life. Artificial Intelligence and edge computing devices have optimized internet usages in everyday life. The growth of 5G networks is effective in the AI/ML algorithms due to its low latency and high bandwidth, which also performs real-time analysis, reasoning, and optimization. The 5G era has fundamental features that are highlighted among the revolutionary techniques which are most commonly used by cellular device networks, such as the resource management of radio, mobility management, and service management, and so on. This work also integrates the selection of spectrum and access the spectrum which AI-based interface to accomplish demands of 5G. The strategies which are introduced are Fractional Knapsack Greedy-based strategy and Language Hyperplane approach which becomes the basis of subsequently utilized by strategies of Artificial Intelligence for purpose of the selection of spectrum and the right allocation of spectrum for IoT-enabled sensor networks.</abstract><doi>10.18034/apjee.v8i1.595</doi></addata></record>
fulltext fulltext
identifier ISSN: 2312-2005
ispartof Asia Pacific Journal of Energy and Environment, 2021, Vol.8 (1), p.7-16
issn 2312-2005
2312-282X
language eng
recordid cdi_crossref_primary_10_18034_apjee_v8i1_595
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
title Artificial Intelligence in 5G Technology: Overview of System Models
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T04%3A10%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Artificial%20Intelligence%20in%205G%20Technology:%20Overview%20of%20System%20Models&rft.jtitle=Asia%20Pacific%20Journal%20of%20Energy%20and%20Environment&rft.au=Rahman,%20Md.%20Mostafijur&rft.aucorp=Sr.%20Architect,%20Capgemini%20America,%20Inc.,%20United%20States&rft.date=2021&rft.volume=8&rft.issue=1&rft.spage=7&rft.epage=16&rft.pages=7-16&rft.issn=2312-2005&rft.eissn=2312-282X&rft_id=info:doi/10.18034/apjee.v8i1.595&rft_dat=%3Ccrossref%3E10_18034_apjee_v8i1_595%3C/crossref%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true