Bidirectional Green Promotion of 6G and AI: Architecture, Solutions, and Platform

The exponential growth of mobile devices has led to an explosion of network traffic in various fields, and application services have also emerged bloomingly in the Internet of Everything era. However, existing networks are not sufficiently intelligent to support rapid dynamic changes in topologies....

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE network 2021-11, Vol.35 (6), p.57-63
Hauptverfasser: Feng, Hailong, Cui, Zhengqi, Han, Chengzhuo, Ning, Jiahong, Yang, Tingting
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 63
container_issue 6
container_start_page 57
container_title IEEE network
container_volume 35
creator Feng, Hailong
Cui, Zhengqi
Han, Chengzhuo
Ning, Jiahong
Yang, Tingting
description The exponential growth of mobile devices has led to an explosion of network traffic in various fields, and application services have also emerged bloomingly in the Internet of Everything era. However, existing networks are not sufficiently intelligent to support rapid dynamic changes in topologies. Simultaneously, it is challenging to coordinate end-edge-cloud communication and computing. and thus green, energy-efficient, and sustainable development cannot be achieved. As a result, experts and scholars have paid attention to the future 6th generation (6G) technology. In response to the above challenges, this article explores artificial intelligence (AI) methods to integrate with 6G to realize the two-way promotion of AI and 6G. Ubiquitous AI will take root in 6G. Likewise, 6G will support new AI applications. We propose a green architecture for air-space-ground-sea integrated networks, oriented to all scenarios. Then, to integrate communication and computing, we put forward green solutions for network perception of radio map and traffic map to advance AI technologies and realize green fusion efficiently. Second, we propose a green wireless management platform based on KubeEdge Wireless, which containerizes nodes and expands the wireless connections to realize joint scheduling and orchestration of resources. Finally, we outline some open research topics and potential solutions/technologies for the two-way promotion of AI and 6G in the future.
doi_str_mv 10.1109/MNET.101.2100285
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_crossref_primary_10_1109_MNET_101_2100285</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9687466</ieee_id><sourcerecordid>2621796430</sourcerecordid><originalsourceid>FETCH-LOGICAL-c291t-e389a3c4f812007ae40bae177d3b01f01096cf4a4729bd0fd7855f92b400724b3</originalsourceid><addsrcrecordid>eNo9kMFLwzAUh4MoOKd3wUvA6zrfS9M08TbHnIOpEyd4K2mbYEe3zKQ9-N_buuHp8R7f78HvI-QaYYwI6u75ZbYeI-CYIQCTyQkZYJLICBPxeUoGIBVEEjg_JxchbACQJzEbkLeHqqy8KZrK7XRN596YHV15t3X9hTpLxZzqXUkni3s68cVX1XRw682Ivru67aEw-gNWtW6s89tLcmZ1HczVcQ7Jx-NsPX2Klq_zxXSyjAqmsIlMLJWOC24lMoBUGw65NpimZZwDWug6icJyzVOm8hJsmcoksYrlvKMZz-MhuT383Xv33ZrQZBvX-q5EyJhgmCrBY-goOFCFdyF4Y7O9r7ba_2QIWS8u68V1C2ZHcV3k5hCpjDH_uBIy5ULEv4X5Z8g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2621796430</pqid></control><display><type>article</type><title>Bidirectional Green Promotion of 6G and AI: Architecture, Solutions, and Platform</title><source>IEEE Electronic Library (IEL)</source><creator>Feng, Hailong ; Cui, Zhengqi ; Han, Chengzhuo ; Ning, Jiahong ; Yang, Tingting</creator><creatorcontrib>Feng, Hailong ; Cui, Zhengqi ; Han, Chengzhuo ; Ning, Jiahong ; Yang, Tingting</creatorcontrib><description>The exponential growth of mobile devices has led to an explosion of network traffic in various fields, and application services have also emerged bloomingly in the Internet of Everything era. However, existing networks are not sufficiently intelligent to support rapid dynamic changes in topologies. Simultaneously, it is challenging to coordinate end-edge-cloud communication and computing. and thus green, energy-efficient, and sustainable development cannot be achieved. As a result, experts and scholars have paid attention to the future 6th generation (6G) technology. In response to the above challenges, this article explores artificial intelligence (AI) methods to integrate with 6G to realize the two-way promotion of AI and 6G. Ubiquitous AI will take root in 6G. Likewise, 6G will support new AI applications. We propose a green architecture for air-space-ground-sea integrated networks, oriented to all scenarios. Then, to integrate communication and computing, we put forward green solutions for network perception of radio map and traffic map to advance AI technologies and realize green fusion efficiently. Second, we propose a green wireless management platform based on KubeEdge Wireless, which containerizes nodes and expands the wireless connections to realize joint scheduling and orchestration of resources. Finally, we outline some open research topics and potential solutions/technologies for the two-way promotion of AI and 6G in the future.</description><identifier>ISSN: 0890-8044</identifier><identifier>EISSN: 1558-156X</identifier><identifier>DOI: 10.1109/MNET.101.2100285</identifier><identifier>CODEN: IENEET</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>6G mobile communication ; Artificial intelligence ; Clean energy ; Cloud computing ; Communications traffic ; Computer architecture ; Electronic devices ; Mobile handsets ; Network topology ; Processor scheduling ; Resource scheduling ; Sustainable development ; Telecommunication traffic ; Topology ; Wireless communication</subject><ispartof>IEEE network, 2021-11, Vol.35 (6), p.57-63</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-e389a3c4f812007ae40bae177d3b01f01096cf4a4729bd0fd7855f92b400724b3</citedby><cites>FETCH-LOGICAL-c291t-e389a3c4f812007ae40bae177d3b01f01096cf4a4729bd0fd7855f92b400724b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9687466$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>315,781,785,797,27926,27927,54760</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9687466$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Feng, Hailong</creatorcontrib><creatorcontrib>Cui, Zhengqi</creatorcontrib><creatorcontrib>Han, Chengzhuo</creatorcontrib><creatorcontrib>Ning, Jiahong</creatorcontrib><creatorcontrib>Yang, Tingting</creatorcontrib><title>Bidirectional Green Promotion of 6G and AI: Architecture, Solutions, and Platform</title><title>IEEE network</title><addtitle>NET-M</addtitle><description>The exponential growth of mobile devices has led to an explosion of network traffic in various fields, and application services have also emerged bloomingly in the Internet of Everything era. However, existing networks are not sufficiently intelligent to support rapid dynamic changes in topologies. Simultaneously, it is challenging to coordinate end-edge-cloud communication and computing. and thus green, energy-efficient, and sustainable development cannot be achieved. As a result, experts and scholars have paid attention to the future 6th generation (6G) technology. In response to the above challenges, this article explores artificial intelligence (AI) methods to integrate with 6G to realize the two-way promotion of AI and 6G. Ubiquitous AI will take root in 6G. Likewise, 6G will support new AI applications. We propose a green architecture for air-space-ground-sea integrated networks, oriented to all scenarios. Then, to integrate communication and computing, we put forward green solutions for network perception of radio map and traffic map to advance AI technologies and realize green fusion efficiently. Second, we propose a green wireless management platform based on KubeEdge Wireless, which containerizes nodes and expands the wireless connections to realize joint scheduling and orchestration of resources. Finally, we outline some open research topics and potential solutions/technologies for the two-way promotion of AI and 6G in the future.</description><subject>6G mobile communication</subject><subject>Artificial intelligence</subject><subject>Clean energy</subject><subject>Cloud computing</subject><subject>Communications traffic</subject><subject>Computer architecture</subject><subject>Electronic devices</subject><subject>Mobile handsets</subject><subject>Network topology</subject><subject>Processor scheduling</subject><subject>Resource scheduling</subject><subject>Sustainable development</subject><subject>Telecommunication traffic</subject><subject>Topology</subject><subject>Wireless communication</subject><issn>0890-8044</issn><issn>1558-156X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMFLwzAUh4MoOKd3wUvA6zrfS9M08TbHnIOpEyd4K2mbYEe3zKQ9-N_buuHp8R7f78HvI-QaYYwI6u75ZbYeI-CYIQCTyQkZYJLICBPxeUoGIBVEEjg_JxchbACQJzEbkLeHqqy8KZrK7XRN596YHV15t3X9hTpLxZzqXUkni3s68cVX1XRw682Ivru67aEw-gNWtW6s89tLcmZ1HczVcQ7Jx-NsPX2Klq_zxXSyjAqmsIlMLJWOC24lMoBUGw65NpimZZwDWug6icJyzVOm8hJsmcoksYrlvKMZz-MhuT383Xv33ZrQZBvX-q5EyJhgmCrBY-goOFCFdyF4Y7O9r7ba_2QIWS8u68V1C2ZHcV3k5hCpjDH_uBIy5ULEv4X5Z8g</recordid><startdate>20211101</startdate><enddate>20211101</enddate><creator>Feng, Hailong</creator><creator>Cui, Zhengqi</creator><creator>Han, Chengzhuo</creator><creator>Ning, Jiahong</creator><creator>Yang, Tingting</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20211101</creationdate><title>Bidirectional Green Promotion of 6G and AI: Architecture, Solutions, and Platform</title><author>Feng, Hailong ; Cui, Zhengqi ; Han, Chengzhuo ; Ning, Jiahong ; Yang, Tingting</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-e389a3c4f812007ae40bae177d3b01f01096cf4a4729bd0fd7855f92b400724b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>6G mobile communication</topic><topic>Artificial intelligence</topic><topic>Clean energy</topic><topic>Cloud computing</topic><topic>Communications traffic</topic><topic>Computer architecture</topic><topic>Electronic devices</topic><topic>Mobile handsets</topic><topic>Network topology</topic><topic>Processor scheduling</topic><topic>Resource scheduling</topic><topic>Sustainable development</topic><topic>Telecommunication traffic</topic><topic>Topology</topic><topic>Wireless communication</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Feng, Hailong</creatorcontrib><creatorcontrib>Cui, Zhengqi</creatorcontrib><creatorcontrib>Han, Chengzhuo</creatorcontrib><creatorcontrib>Ning, Jiahong</creatorcontrib><creatorcontrib>Yang, Tingting</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE network</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Feng, Hailong</au><au>Cui, Zhengqi</au><au>Han, Chengzhuo</au><au>Ning, Jiahong</au><au>Yang, Tingting</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bidirectional Green Promotion of 6G and AI: Architecture, Solutions, and Platform</atitle><jtitle>IEEE network</jtitle><stitle>NET-M</stitle><date>2021-11-01</date><risdate>2021</risdate><volume>35</volume><issue>6</issue><spage>57</spage><epage>63</epage><pages>57-63</pages><issn>0890-8044</issn><eissn>1558-156X</eissn><coden>IENEET</coden><abstract>The exponential growth of mobile devices has led to an explosion of network traffic in various fields, and application services have also emerged bloomingly in the Internet of Everything era. However, existing networks are not sufficiently intelligent to support rapid dynamic changes in topologies. Simultaneously, it is challenging to coordinate end-edge-cloud communication and computing. and thus green, energy-efficient, and sustainable development cannot be achieved. As a result, experts and scholars have paid attention to the future 6th generation (6G) technology. In response to the above challenges, this article explores artificial intelligence (AI) methods to integrate with 6G to realize the two-way promotion of AI and 6G. Ubiquitous AI will take root in 6G. Likewise, 6G will support new AI applications. We propose a green architecture for air-space-ground-sea integrated networks, oriented to all scenarios. Then, to integrate communication and computing, we put forward green solutions for network perception of radio map and traffic map to advance AI technologies and realize green fusion efficiently. Second, we propose a green wireless management platform based on KubeEdge Wireless, which containerizes nodes and expands the wireless connections to realize joint scheduling and orchestration of resources. Finally, we outline some open research topics and potential solutions/technologies for the two-way promotion of AI and 6G in the future.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/MNET.101.2100285</doi><tpages>7</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 0890-8044
ispartof IEEE network, 2021-11, Vol.35 (6), p.57-63
issn 0890-8044
1558-156X
language eng
recordid cdi_crossref_primary_10_1109_MNET_101_2100285
source IEEE Electronic Library (IEL)
subjects 6G mobile communication
Artificial intelligence
Clean energy
Cloud computing
Communications traffic
Computer architecture
Electronic devices
Mobile handsets
Network topology
Processor scheduling
Resource scheduling
Sustainable development
Telecommunication traffic
Topology
Wireless communication
title Bidirectional Green Promotion of 6G and AI: Architecture, Solutions, and Platform
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T07%3A53%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Bidirectional%20Green%20Promotion%20of%206G%20and%20AI:%20Architecture,%20Solutions,%20and%20Platform&rft.jtitle=IEEE%20network&rft.au=Feng,%20Hailong&rft.date=2021-11-01&rft.volume=35&rft.issue=6&rft.spage=57&rft.epage=63&rft.pages=57-63&rft.issn=0890-8044&rft.eissn=1558-156X&rft.coden=IENEET&rft_id=info:doi/10.1109/MNET.101.2100285&rft_dat=%3Cproquest_RIE%3E2621796430%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2621796430&rft_id=info:pmid/&rft_ieee_id=9687466&rfr_iscdi=true