Intelligent Active Queue Management for Stabilized QoS Guarantees in 5G Mobile Networks
The fifth-generation (5G) new radio standard defines various functions for forwarding treatments under differentiated quality of services requirements. In particular, a gNB base station helps combat overbuffering due to massive packet flows from associated mobile devices. Several active queue manage...
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Veröffentlicht in: | IEEE systems journal 2021-09, Vol.15 (3), p.4293-4302 |
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creator | Jung, Soyi Kim, Joongheon Kim, Jae-Hyun |
description | The fifth-generation (5G) new radio standard defines various functions for forwarding treatments under differentiated quality of services requirements. In particular, a gNB base station helps combat overbuffering due to massive packet flows from associated mobile devices. Several active queue management (AQM) schemes have been proposed previously, with controlled delay (CoDel) proving to be an efficient method that can properly handle excessive buffering, that is called bufferbloat. This article proposes a novel and enhanced AQM scheme based on CoDel for gNB that guarantees low queuing delays, minimizes packet drop rate, and furthermore stabilizes the built-in queue. According to data-intensive performance evaluation results, the proposed scheme verifies that the queuing delay for served packets are decreased and supports ultrareliable low latency communication applications. Especially, the proposed algorithm achieves the packet drop rates and queuing delays tradeoff as [\mathcal {O}(1/V), {O}(V)] where V is a tradeoff parameter; providing efficient control decisions to improve performance in terms of time-average packet drop rate minimization subject to queue stability on demand in 5G mobile system. |
doi_str_mv | 10.1109/JSYST.2020.3014231 |
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In particular, a gNB base station helps combat overbuffering due to massive packet flows from associated mobile devices. Several active queue management (AQM) schemes have been proposed previously, with controlled delay (CoDel) proving to be an efficient method that can properly handle excessive buffering, that is called bufferbloat. This article proposes a novel and enhanced AQM scheme based on CoDel for gNB that guarantees low queuing delays, minimizes packet drop rate, and furthermore stabilizes the built-in queue. According to data-intensive performance evaluation results, the proposed scheme verifies that the queuing delay for served packets are decreased and supports ultrareliable low latency communication applications. Especially, the proposed algorithm achieves the packet drop rates and queuing delays tradeoff as <inline-formula><tex-math notation="LaTeX">[\mathcal {O}(1/V), {O}(V)]</tex-math></inline-formula> where <inline-formula><tex-math notation="LaTeX">V</tex-math></inline-formula> is a tradeoff parameter; providing efficient control decisions to improve performance in terms of time-average packet drop rate minimization subject to queue stability on demand in 5G mobile system.]]></description><identifier>ISSN: 1932-8184</identifier><identifier>EISSN: 1937-9234</identifier><identifier>DOI: 10.1109/JSYST.2020.3014231</identifier><identifier>CODEN: ISJEB2</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>5G mobile communication ; active queue management (AQM) ; Algorithms ; Buffers ; controlled delay (CoDel) ; Delays ; Electronic devices ; Load modeling ; Network latency ; Performance enhancement ; Performance evaluation ; Protocols ; Quality of service ; quality of service (QoS) ; Quality of service architectures ; Queues ; Queuing ; Radio equipment ; Stability analysis ; Tradeoffs ; Tuning</subject><ispartof>IEEE systems journal, 2021-09, Vol.15 (3), p.4293-4302</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c225t-9ba70f23413b1613200a21078ac5ff55c5bcc0da7780605af6a6ca214f5c682c3</citedby><cites>FETCH-LOGICAL-c225t-9ba70f23413b1613200a21078ac5ff55c5bcc0da7780605af6a6ca214f5c682c3</cites><orcidid>0000-0003-2126-768X ; 0000-0001-8435-0646 ; 0000-0003-4716-6916</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9169693$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9169693$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Jung, Soyi</creatorcontrib><creatorcontrib>Kim, Joongheon</creatorcontrib><creatorcontrib>Kim, Jae-Hyun</creatorcontrib><title>Intelligent Active Queue Management for Stabilized QoS Guarantees in 5G Mobile Networks</title><title>IEEE systems journal</title><addtitle>JSYST</addtitle><description><![CDATA[The fifth-generation (5G) new radio standard defines various functions for forwarding treatments under differentiated quality of services requirements. In particular, a gNB base station helps combat overbuffering due to massive packet flows from associated mobile devices. Several active queue management (AQM) schemes have been proposed previously, with controlled delay (CoDel) proving to be an efficient method that can properly handle excessive buffering, that is called bufferbloat. This article proposes a novel and enhanced AQM scheme based on CoDel for gNB that guarantees low queuing delays, minimizes packet drop rate, and furthermore stabilizes the built-in queue. According to data-intensive performance evaluation results, the proposed scheme verifies that the queuing delay for served packets are decreased and supports ultrareliable low latency communication applications. Especially, the proposed algorithm achieves the packet drop rates and queuing delays tradeoff as <inline-formula><tex-math notation="LaTeX">[\mathcal {O}(1/V), {O}(V)]</tex-math></inline-formula> where <inline-formula><tex-math notation="LaTeX">V</tex-math></inline-formula> is a tradeoff parameter; providing efficient control decisions to improve performance in terms of time-average packet drop rate minimization subject to queue stability on demand in 5G mobile system.]]></description><subject>5G mobile communication</subject><subject>active queue management (AQM)</subject><subject>Algorithms</subject><subject>Buffers</subject><subject>controlled delay (CoDel)</subject><subject>Delays</subject><subject>Electronic devices</subject><subject>Load modeling</subject><subject>Network latency</subject><subject>Performance enhancement</subject><subject>Performance evaluation</subject><subject>Protocols</subject><subject>Quality of service</subject><subject>quality of service (QoS)</subject><subject>Quality of service architectures</subject><subject>Queues</subject><subject>Queuing</subject><subject>Radio equipment</subject><subject>Stability analysis</subject><subject>Tradeoffs</subject><subject>Tuning</subject><issn>1932-8184</issn><issn>1937-9234</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kF1LwzAUhoMoOKd_QG8CXnfmo0mbyzF0TjZldCJehTQ7GZ1dO5NW0V9v94FXOeS8zzmHB6FrSgaUEnX3lL1niwEjjAw4oTHj9AT1qOJJpBiPT_c1i1KaxufoIoQ1ISIVieqht0nVQFkWK6gaPLRN8QV43kILeGYqs4LN7t_VHmeNyYuy-IUlntcZHrfGmw6FgIsKizGe1V0b8DM037X_CJfozJkywNXx7aPXh_vF6DGavowno-E0soyJJlK5SYjrTqQ8p5JyRohhlCSpscI5IazIrSVLkyQpkUQYJ420XSJ2wsqUWd5Ht4e5W19_thAava5bX3UrNRNSMJ7Ecdyl2CFlfR2CB6e3vtgY_6Mp0TuBei9Q7wTqo8AOujlABQD8A4pKJRXnf7kea8o</recordid><startdate>202109</startdate><enddate>202109</enddate><creator>Jung, Soyi</creator><creator>Kim, Joongheon</creator><creator>Kim, Jae-Hyun</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><orcidid>https://orcid.org/0000-0003-2126-768X</orcidid><orcidid>https://orcid.org/0000-0001-8435-0646</orcidid><orcidid>https://orcid.org/0000-0003-4716-6916</orcidid></search><sort><creationdate>202109</creationdate><title>Intelligent Active Queue Management for Stabilized QoS Guarantees in 5G Mobile Networks</title><author>Jung, Soyi ; Kim, Joongheon ; Kim, Jae-Hyun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c225t-9ba70f23413b1613200a21078ac5ff55c5bcc0da7780605af6a6ca214f5c682c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>5G mobile communication</topic><topic>active queue management (AQM)</topic><topic>Algorithms</topic><topic>Buffers</topic><topic>controlled delay (CoDel)</topic><topic>Delays</topic><topic>Electronic devices</topic><topic>Load modeling</topic><topic>Network latency</topic><topic>Performance enhancement</topic><topic>Performance evaluation</topic><topic>Protocols</topic><topic>Quality of service</topic><topic>quality of service (QoS)</topic><topic>Quality of service architectures</topic><topic>Queues</topic><topic>Queuing</topic><topic>Radio equipment</topic><topic>Stability analysis</topic><topic>Tradeoffs</topic><topic>Tuning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jung, Soyi</creatorcontrib><creatorcontrib>Kim, Joongheon</creatorcontrib><creatorcontrib>Kim, Jae-Hyun</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><jtitle>IEEE systems journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jung, Soyi</au><au>Kim, Joongheon</au><au>Kim, Jae-Hyun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Intelligent Active Queue Management for Stabilized QoS Guarantees in 5G Mobile Networks</atitle><jtitle>IEEE systems journal</jtitle><stitle>JSYST</stitle><date>2021-09</date><risdate>2021</risdate><volume>15</volume><issue>3</issue><spage>4293</spage><epage>4302</epage><pages>4293-4302</pages><issn>1932-8184</issn><eissn>1937-9234</eissn><coden>ISJEB2</coden><abstract><![CDATA[The fifth-generation (5G) new radio standard defines various functions for forwarding treatments under differentiated quality of services requirements. In particular, a gNB base station helps combat overbuffering due to massive packet flows from associated mobile devices. Several active queue management (AQM) schemes have been proposed previously, with controlled delay (CoDel) proving to be an efficient method that can properly handle excessive buffering, that is called bufferbloat. This article proposes a novel and enhanced AQM scheme based on CoDel for gNB that guarantees low queuing delays, minimizes packet drop rate, and furthermore stabilizes the built-in queue. According to data-intensive performance evaluation results, the proposed scheme verifies that the queuing delay for served packets are decreased and supports ultrareliable low latency communication applications. Especially, the proposed algorithm achieves the packet drop rates and queuing delays tradeoff as <inline-formula><tex-math notation="LaTeX">[\mathcal {O}(1/V), {O}(V)]</tex-math></inline-formula> where <inline-formula><tex-math notation="LaTeX">V</tex-math></inline-formula> is a tradeoff parameter; providing efficient control decisions to improve performance in terms of time-average packet drop rate minimization subject to queue stability on demand in 5G mobile system.]]></abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/JSYST.2020.3014231</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-2126-768X</orcidid><orcidid>https://orcid.org/0000-0001-8435-0646</orcidid><orcidid>https://orcid.org/0000-0003-4716-6916</orcidid></addata></record> |
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subjects | 5G mobile communication active queue management (AQM) Algorithms Buffers controlled delay (CoDel) Delays Electronic devices Load modeling Network latency Performance enhancement Performance evaluation Protocols Quality of service quality of service (QoS) Quality of service architectures Queues Queuing Radio equipment Stability analysis Tradeoffs Tuning |
title | Intelligent Active Queue Management for Stabilized QoS Guarantees in 5G Mobile Networks |
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