Optimal Service Provisioning in Mobile 5G and Beyond Systems

One of the fundamental challenges that needs to be addressed in 5G and beyond systems relates with delivery of demanding uninterrupted services to mobile users. In this context, this paper provides an overview of relevant architectural options taking into consideration user mobility requirements and...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on services computing 2023-07, Vol.16 (4), p.1-14
Main Authors: Manolopoulos, Alexandros-Ioannis, Anastasopoulos, Markos P., Alevizaki, Victoria-Maria, Tzanakaki, Anna
Format: Article
Language:English
Subjects:
Mobile Communication Systems
Mobile Computing
Network Architecture and Design
Optimization
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c216t-1ca110676df710f6a375f4a38674616fe8294a1eb96de06a96072092a7076a3f3
container_end_page 14
container_issue 4
container_start_page 1
container_title IEEE transactions on services computing
container_volume 16
creator Manolopoulos, Alexandros-Ioannis
Anastasopoulos, Markos P.
Alevizaki, Victoria-Maria
Tzanakaki, Anna
description One of the fundamental challenges that needs to be addressed in 5G and beyond systems relates with delivery of demanding uninterrupted services to mobile users. In this context, this paper provides an overview of relevant architectural options taking into consideration user mobility requirements and proposes suitable resource allocation schemes to enable optimal service provisioning under mobility considerations. The proposed schemes are evaluated through a purposely developed multistage optimization framework. This evaluation framework facilitates optimal placement of network and compute resources minimizing the associated infrastructure operational costs. Our results have been produced using real user mobility statistics as well as lab based profiling measurements of the 5G infrastructure and provide a detailed trade-off analysis between latency and infrastructure related costs indicating optimal operational points for different scenarios.
doi_str_mv 10.1109/TSC.2022.3225011
format article
fullrecord <record><control><sourceid>crossref_ieee_</sourceid><recordid>TN_cdi_crossref_primary_10_1109_TSC_2022_3225011</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9965770</ieee_id><sourcerecordid>10_1109_TSC_2022_3225011</sourcerecordid><originalsourceid>FETCH-LOGICAL-c216t-1ca110676df710f6a375f4a38674616fe8294a1eb96de06a96072092a7076a3f3</originalsourceid><addsrcrecordid>eNo9j8FKw0AURQdRsFb3gpv5gcT33iQzGXCjQatQqZC6DtP0jYy0ScmEQv_elBZXd3Pu5R4h7hFSRLCPy6pMCYhSRZQD4oWYkDKUAEF2KSZolU1Qmexa3MT4C6CpKOxEPC12Q9i6jay434eG5Vff7UMMXRvaHxla-dmtwoZlPpOuXcsXPnRjVIc48DbeiivvNpHvzjkV32-vy_I9mS9mH-XzPGkI9ZBg48aL2ui1NwheO2VynzlVaJNp1J4LsplDXlm9ZtDOajAElpwBM8JeTQWcdpu-i7FnX-_68XR_qBHqo3092tdH-_psP1YeTpXAzP-4tTo3BtQfEtpUHQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Optimal Service Provisioning in Mobile 5G and Beyond Systems</title><source>IEEE Electronic Library (IEL) Journals</source><creator>Manolopoulos, Alexandros-Ioannis ; Anastasopoulos, Markos P. ; Alevizaki, Victoria-Maria ; Tzanakaki, Anna</creator><creatorcontrib>Manolopoulos, Alexandros-Ioannis ; Anastasopoulos, Markos P. ; Alevizaki, Victoria-Maria ; Tzanakaki, Anna</creatorcontrib><description>One of the fundamental challenges that needs to be addressed in 5G and beyond systems relates with delivery of demanding uninterrupted services to mobile users. In this context, this paper provides an overview of relevant architectural options taking into consideration user mobility requirements and proposes suitable resource allocation schemes to enable optimal service provisioning under mobility considerations. The proposed schemes are evaluated through a purposely developed multistage optimization framework. This evaluation framework facilitates optimal placement of network and compute resources minimizing the associated infrastructure operational costs. Our results have been produced using real user mobility statistics as well as lab based profiling measurements of the 5G infrastructure and provide a detailed trade-off analysis between latency and infrastructure related costs indicating optimal operational points for different scenarios.</description><identifier>ISSN: 1939-1374</identifier><identifier>EISSN: 2372-0204</identifier><identifier>DOI: 10.1109/TSC.2022.3225011</identifier><identifier>CODEN: ITSCAD</identifier><language>eng</language><publisher>IEEE</publisher><subject>Mobile Communication Systems ; Mobile Computing ; Network Architecture and Design ; Optimization</subject><ispartof>IEEE transactions on services computing, 2023-07, Vol.16 (4), p.1-14</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c216t-1ca110676df710f6a375f4a38674616fe8294a1eb96de06a96072092a7076a3f3</cites><orcidid>0000-0003-3185-7843 ; 0000-0001-7266-5843 ; 0000-0002-2726-4116</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9965770$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,54795</link.rule.ids></links><search><creatorcontrib>Manolopoulos, Alexandros-Ioannis</creatorcontrib><creatorcontrib>Anastasopoulos, Markos P.</creatorcontrib><creatorcontrib>Alevizaki, Victoria-Maria</creatorcontrib><creatorcontrib>Tzanakaki, Anna</creatorcontrib><title>Optimal Service Provisioning in Mobile 5G and Beyond Systems</title><title>IEEE transactions on services computing</title><addtitle>TSC</addtitle><description>One of the fundamental challenges that needs to be addressed in 5G and beyond systems relates with delivery of demanding uninterrupted services to mobile users. In this context, this paper provides an overview of relevant architectural options taking into consideration user mobility requirements and proposes suitable resource allocation schemes to enable optimal service provisioning under mobility considerations. The proposed schemes are evaluated through a purposely developed multistage optimization framework. This evaluation framework facilitates optimal placement of network and compute resources minimizing the associated infrastructure operational costs. Our results have been produced using real user mobility statistics as well as lab based profiling measurements of the 5G infrastructure and provide a detailed trade-off analysis between latency and infrastructure related costs indicating optimal operational points for different scenarios.</description><subject>Mobile Communication Systems</subject><subject>Mobile Computing</subject><subject>Network Architecture and Design</subject><subject>Optimization</subject><issn>1939-1374</issn><issn>2372-0204</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNo9j8FKw0AURQdRsFb3gpv5gcT33iQzGXCjQatQqZC6DtP0jYy0ScmEQv_elBZXd3Pu5R4h7hFSRLCPy6pMCYhSRZQD4oWYkDKUAEF2KSZolU1Qmexa3MT4C6CpKOxEPC12Q9i6jay434eG5Vff7UMMXRvaHxla-dmtwoZlPpOuXcsXPnRjVIc48DbeiivvNpHvzjkV32-vy_I9mS9mH-XzPGkI9ZBg48aL2ui1NwheO2VynzlVaJNp1J4LsplDXlm9ZtDOajAElpwBM8JeTQWcdpu-i7FnX-_68XR_qBHqo3092tdH-_psP1YeTpXAzP-4tTo3BtQfEtpUHQ</recordid><startdate>20230701</startdate><enddate>20230701</enddate><creator>Manolopoulos, Alexandros-Ioannis</creator><creator>Anastasopoulos, Markos P.</creator><creator>Alevizaki, Victoria-Maria</creator><creator>Tzanakaki, Anna</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-3185-7843</orcidid><orcidid>https://orcid.org/0000-0001-7266-5843</orcidid><orcidid>https://orcid.org/0000-0002-2726-4116</orcidid></search><sort><creationdate>20230701</creationdate><title>Optimal Service Provisioning in Mobile 5G and Beyond Systems</title><author>Manolopoulos, Alexandros-Ioannis ; Anastasopoulos, Markos P. ; Alevizaki, Victoria-Maria ; Tzanakaki, Anna</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c216t-1ca110676df710f6a375f4a38674616fe8294a1eb96de06a96072092a7076a3f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Mobile Communication Systems</topic><topic>Mobile Computing</topic><topic>Network Architecture and Design</topic><topic>Optimization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Manolopoulos, Alexandros-Ioannis</creatorcontrib><creatorcontrib>Anastasopoulos, Markos P.</creatorcontrib><creatorcontrib>Alevizaki, Victoria-Maria</creatorcontrib><creatorcontrib>Tzanakaki, Anna</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 transactions on services computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Manolopoulos, Alexandros-Ioannis</au><au>Anastasopoulos, Markos P.</au><au>Alevizaki, Victoria-Maria</au><au>Tzanakaki, Anna</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimal Service Provisioning in Mobile 5G and Beyond Systems</atitle><jtitle>IEEE transactions on services computing</jtitle><stitle>TSC</stitle><date>2023-07-01</date><risdate>2023</risdate><volume>16</volume><issue>4</issue><spage>1</spage><epage>14</epage><pages>1-14</pages><issn>1939-1374</issn><eissn>2372-0204</eissn><coden>ITSCAD</coden><abstract>One of the fundamental challenges that needs to be addressed in 5G and beyond systems relates with delivery of demanding uninterrupted services to mobile users. In this context, this paper provides an overview of relevant architectural options taking into consideration user mobility requirements and proposes suitable resource allocation schemes to enable optimal service provisioning under mobility considerations. The proposed schemes are evaluated through a purposely developed multistage optimization framework. This evaluation framework facilitates optimal placement of network and compute resources minimizing the associated infrastructure operational costs. Our results have been produced using real user mobility statistics as well as lab based profiling measurements of the 5G infrastructure and provide a detailed trade-off analysis between latency and infrastructure related costs indicating optimal operational points for different scenarios.</abstract><pub>IEEE</pub><doi>10.1109/TSC.2022.3225011</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-3185-7843</orcidid><orcidid>https://orcid.org/0000-0001-7266-5843</orcidid><orcidid>https://orcid.org/0000-0002-2726-4116</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1939-1374
ispartof IEEE transactions on services computing, 2023-07, Vol.16 (4), p.1-14
issn 1939-1374
2372-0204
language eng
recordid cdi_crossref_primary_10_1109_TSC_2022_3225011
source IEEE Electronic Library (IEL) Journals
subjects Mobile Communication Systems
Mobile Computing
Network Architecture and Design
Optimization
title Optimal Service Provisioning in Mobile 5G and Beyond Systems
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T16%3A32%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Optimal%20Service%20Provisioning%20in%20Mobile%205G%20and%20Beyond%20Systems&rft.jtitle=IEEE%20transactions%20on%20services%20computing&rft.au=Manolopoulos,%20Alexandros-Ioannis&rft.date=2023-07-01&rft.volume=16&rft.issue=4&rft.spage=1&rft.epage=14&rft.pages=1-14&rft.issn=1939-1374&rft.eissn=2372-0204&rft.coden=ITSCAD&rft_id=info:doi/10.1109/TSC.2022.3225011&rft_dat=%3Ccrossref_ieee_%3E10_1109_TSC_2022_3225011%3C/crossref_ieee_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c216t-1ca110676df710f6a375f4a38674616fe8294a1eb96de06a96072092a7076a3f3%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=9965770&rfr_iscdi=true