Loading…

Optimizing Bandwidth Sharing for Real-Time Traffic in Wireless Networks

We consider the problem of enhancing the delivery of real-time traffic in wireless networks using bandwidth sharing between operators. A key characteristic of real-time traffic is that a packet has to be delivered within a delay deadline for it to be useful. The abundance of real-time traffic is evi...

Full description

Saved in:
Bibliographic Details
Main Authors: George, Sushi Anna, Joseph, Vinay
Format: Conference Proceeding
Language:English
Subjects:
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 3204
container_issue
container_start_page 3199
container_title
container_volume
creator George, Sushi Anna
Joseph, Vinay
description We consider the problem of enhancing the delivery of real-time traffic in wireless networks using bandwidth sharing between operators. A key characteristic of real-time traffic is that a packet has to be delivered within a delay deadline for it to be useful. The abundance of real-time traffic is evident in the popularity of applications like video and audio conferencing, which increased significantly during the COVID-19 period. We propose a sharing and scheduling policy which involves dynamically sharing a portion of one operator's bandwidth with another operator. We provide strong theoretical guarantees for the policy. We also evaluate its performance via extensive simulations, which show significant improvements of up to 90% in the ability to carry real-time traffic when using the policy. We also explore how the improvements from bandwidth sharing depend on the amount of sharing, and on additional traffic characteristics.
doi_str_mv 10.1109/ICC45041.2023.10278591
format conference_proceeding
fullrecord <record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_10278591</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10278591</ieee_id><sourcerecordid>10278591</sourcerecordid><originalsourceid>FETCH-LOGICAL-i204t-76979a48a6bddfe78eb97fa01d2678f188ec8d6ad74144b7714174787f4872ed3</originalsourceid><addsrcrecordid>eNo1j9FKwzAUhqMguE3fQCQv0JqTpD3JpRadg-FAK16OdDlx0bYbaWHo06uoVz98Fx_fz9gliBxA2KtFVelCaMilkCoHIdEUFo7YFAplStSltMdsAlaZDIxRp2w6DG9CFNIqmLD5aj_GLn7G_pXfuN4foh-3_Gnr0g8Ju8QfybVZHTvidXIhxA2PPX-JiVoaBv5A42GX3oczdhJcO9D5387Y891tXd1ny9V8UV0vsyiFHjMsLVqnjSsb7wOhocZicAK8LNGE70DaGF86jxq0bhBBA2o0GLRBSV7N2MWvNxLRep9i59LH-v-1-gK1bEwV</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Optimizing Bandwidth Sharing for Real-Time Traffic in Wireless Networks</title><source>IEEE Xplore All Conference Series</source><creator>George, Sushi Anna ; Joseph, Vinay</creator><creatorcontrib>George, Sushi Anna ; Joseph, Vinay</creatorcontrib><description>We consider the problem of enhancing the delivery of real-time traffic in wireless networks using bandwidth sharing between operators. A key characteristic of real-time traffic is that a packet has to be delivered within a delay deadline for it to be useful. The abundance of real-time traffic is evident in the popularity of applications like video and audio conferencing, which increased significantly during the COVID-19 period. We propose a sharing and scheduling policy which involves dynamically sharing a portion of one operator's bandwidth with another operator. We provide strong theoretical guarantees for the policy. We also evaluate its performance via extensive simulations, which show significant improvements of up to 90% in the ability to carry real-time traffic when using the policy. We also explore how the improvements from bandwidth sharing depend on the amount of sharing, and on additional traffic characteristics.</description><identifier>EISSN: 1938-1883</identifier><identifier>EISBN: 1538674629</identifier><identifier>EISBN: 9781538674628</identifier><identifier>DOI: 10.1109/ICC45041.2023.10278591</identifier><language>eng</language><publisher>IEEE</publisher><subject>Bandwidth ; Bandwidth sharing ; COVID-19 ; Delays ; Dynamic scheduling ; Feasibility optimal ; Real-time systems ; Real-time traffic ; Scheduling ; Streaming media ; Wireless networks</subject><ispartof>ICC 2023 - IEEE International Conference on Communications, 2023, p.3199-3204</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0001-6658-4406</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10278591$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,23909,23910,25118,27902,54530,54907</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10278591$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>George, Sushi Anna</creatorcontrib><creatorcontrib>Joseph, Vinay</creatorcontrib><title>Optimizing Bandwidth Sharing for Real-Time Traffic in Wireless Networks</title><title>ICC 2023 - IEEE International Conference on Communications</title><addtitle>ICC</addtitle><description>We consider the problem of enhancing the delivery of real-time traffic in wireless networks using bandwidth sharing between operators. A key characteristic of real-time traffic is that a packet has to be delivered within a delay deadline for it to be useful. The abundance of real-time traffic is evident in the popularity of applications like video and audio conferencing, which increased significantly during the COVID-19 period. We propose a sharing and scheduling policy which involves dynamically sharing a portion of one operator's bandwidth with another operator. We provide strong theoretical guarantees for the policy. We also evaluate its performance via extensive simulations, which show significant improvements of up to 90% in the ability to carry real-time traffic when using the policy. We also explore how the improvements from bandwidth sharing depend on the amount of sharing, and on additional traffic characteristics.</description><subject>Bandwidth</subject><subject>Bandwidth sharing</subject><subject>COVID-19</subject><subject>Delays</subject><subject>Dynamic scheduling</subject><subject>Feasibility optimal</subject><subject>Real-time systems</subject><subject>Real-time traffic</subject><subject>Scheduling</subject><subject>Streaming media</subject><subject>Wireless networks</subject><issn>1938-1883</issn><isbn>1538674629</isbn><isbn>9781538674628</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2023</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1j9FKwzAUhqMguE3fQCQv0JqTpD3JpRadg-FAK16OdDlx0bYbaWHo06uoVz98Fx_fz9gliBxA2KtFVelCaMilkCoHIdEUFo7YFAplStSltMdsAlaZDIxRp2w6DG9CFNIqmLD5aj_GLn7G_pXfuN4foh-3_Gnr0g8Ju8QfybVZHTvidXIhxA2PPX-JiVoaBv5A42GX3oczdhJcO9D5387Y891tXd1ny9V8UV0vsyiFHjMsLVqnjSsb7wOhocZicAK8LNGE70DaGF86jxq0bhBBA2o0GLRBSV7N2MWvNxLRep9i59LH-v-1-gK1bEwV</recordid><startdate>20230528</startdate><enddate>20230528</enddate><creator>George, Sushi Anna</creator><creator>Joseph, Vinay</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><orcidid>https://orcid.org/0000-0001-6658-4406</orcidid></search><sort><creationdate>20230528</creationdate><title>Optimizing Bandwidth Sharing for Real-Time Traffic in Wireless Networks</title><author>George, Sushi Anna ; Joseph, Vinay</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i204t-76979a48a6bddfe78eb97fa01d2678f188ec8d6ad74144b7714174787f4872ed3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Bandwidth</topic><topic>Bandwidth sharing</topic><topic>COVID-19</topic><topic>Delays</topic><topic>Dynamic scheduling</topic><topic>Feasibility optimal</topic><topic>Real-time systems</topic><topic>Real-time traffic</topic><topic>Scheduling</topic><topic>Streaming media</topic><topic>Wireless networks</topic><toplevel>online_resources</toplevel><creatorcontrib>George, Sushi Anna</creatorcontrib><creatorcontrib>Joseph, Vinay</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>George, Sushi Anna</au><au>Joseph, Vinay</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Optimizing Bandwidth Sharing for Real-Time Traffic in Wireless Networks</atitle><btitle>ICC 2023 - IEEE International Conference on Communications</btitle><stitle>ICC</stitle><date>2023-05-28</date><risdate>2023</risdate><spage>3199</spage><epage>3204</epage><pages>3199-3204</pages><eissn>1938-1883</eissn><eisbn>1538674629</eisbn><eisbn>9781538674628</eisbn><abstract>We consider the problem of enhancing the delivery of real-time traffic in wireless networks using bandwidth sharing between operators. A key characteristic of real-time traffic is that a packet has to be delivered within a delay deadline for it to be useful. The abundance of real-time traffic is evident in the popularity of applications like video and audio conferencing, which increased significantly during the COVID-19 period. We propose a sharing and scheduling policy which involves dynamically sharing a portion of one operator's bandwidth with another operator. We provide strong theoretical guarantees for the policy. We also evaluate its performance via extensive simulations, which show significant improvements of up to 90% in the ability to carry real-time traffic when using the policy. We also explore how the improvements from bandwidth sharing depend on the amount of sharing, and on additional traffic characteristics.</abstract><pub>IEEE</pub><doi>10.1109/ICC45041.2023.10278591</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0001-6658-4406</orcidid></addata></record>
fulltext fulltext_linktorsrc
identifier EISSN: 1938-1883
ispartof ICC 2023 - IEEE International Conference on Communications, 2023, p.3199-3204
issn 1938-1883
language eng
recordid cdi_ieee_primary_10278591
source IEEE Xplore All Conference Series
subjects Bandwidth
Bandwidth sharing
COVID-19
Delays
Dynamic scheduling
Feasibility optimal
Real-time systems
Real-time traffic
Scheduling
Streaming media
Wireless networks
title Optimizing Bandwidth Sharing for Real-Time Traffic in Wireless Networks
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T16%3A36%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Optimizing%20Bandwidth%20Sharing%20for%20Real-Time%20Traffic%20in%20Wireless%20Networks&rft.btitle=ICC%202023%20-%20IEEE%20International%20Conference%20on%20Communications&rft.au=George,%20Sushi%20Anna&rft.date=2023-05-28&rft.spage=3199&rft.epage=3204&rft.pages=3199-3204&rft.eissn=1938-1883&rft_id=info:doi/10.1109/ICC45041.2023.10278591&rft.eisbn=1538674629&rft.eisbn_list=9781538674628&rft_dat=%3Cieee_CHZPO%3E10278591%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i204t-76979a48a6bddfe78eb97fa01d2678f188ec8d6ad74144b7714174787f4872ed3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=10278591&rfr_iscdi=true