NOMA-Relevant Clustering and Resource Allocation for Proportional Fair Uplink Communications

This letter focuses on clustering and resource block (RB) allocation in multi-carrier uplink networks using power-domain non orthogonal multiple access (PD-NOMA). The optimization objective is time-based proportional fairness. PD-NOMA is applied per frame and RB only if the achieved individual data...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE wireless communications letters 2019-06, Vol.8 (3), p.873-876
Hauptverfasser: Pischella, Mylene, Le Ruyet, Didier
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 876
container_issue 3
container_start_page 873
container_title IEEE wireless communications letters
container_volume 8
creator Pischella, Mylene
Le Ruyet, Didier
description This letter focuses on clustering and resource block (RB) allocation in multi-carrier uplink networks using power-domain non orthogonal multiple access (PD-NOMA). The optimization objective is time-based proportional fairness. PD-NOMA is applied per frame and RB only if the achieved individual data rates are larger with PD-NOMA than with time division multiple access. The clustering algorithm recursively uses maximum weight matching to build clusters per RB. Given the clusters, RB allocation is then optimal. The proposed algorithm provides a good trade-off between reduced overall network latency and rate improvement compared to two reference algorithms.
doi_str_mv 10.1109/LWC.2019.2897796
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_8634817</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8634817</ieee_id><sourcerecordid>2244346137</sourcerecordid><originalsourceid>FETCH-LOGICAL-c367t-a70a15f0d0fc9d9e3bf4c404beedbafbe6da4586e3cc014f67a9d516258e3fc93</originalsourceid><addsrcrecordid>eNo9kEtLw0AUhYMoWGr3gpsBVy5S55VJsgzBWiFaKRY3wjBJbjQ1zcSZpOC_d0Kkd3MffOfCOZ53TfCSEBzfZ-_pkmISL2kUh2EszrwZJYL6lPHg_DSz8NJbWLvHrgQmlEQz7-Nl85z4W2jgqNoepc1gezB1-4lUW6ItWD2YAlDSNLpQfa1bVGmDXo3utBlX1aCVqg3adU3dfqNUHw5DW0-ovfIuKtVYWPz3ubdbPbylaz_bPD6lSeYXTIS9r0KsSFDhEldFXMbA8ooXHPMcoMxVlYMoFQ8iAawoMOGVCFVcBs5TEAFzEjb37qa_X6qRnakPyvxKrWq5TjI53jDlXNCIHYljbye2M_pnANvLvbPofFhJHcW4ICx0FJ6owmhrDVSntwTLMXLpIpdj5PI_cie5mSQ1AJzwSDAekZD9AZcvfQU</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2244346137</pqid></control><display><type>article</type><title>NOMA-Relevant Clustering and Resource Allocation for Proportional Fair Uplink Communications</title><source>IEEE Electronic Library (IEL)</source><creator>Pischella, Mylene ; Le Ruyet, Didier</creator><creatorcontrib>Pischella, Mylene ; Le Ruyet, Didier</creatorcontrib><description>This letter focuses on clustering and resource block (RB) allocation in multi-carrier uplink networks using power-domain non orthogonal multiple access (PD-NOMA). The optimization objective is time-based proportional fairness. PD-NOMA is applied per frame and RB only if the achieved individual data rates are larger with PD-NOMA than with time division multiple access. The clustering algorithm recursively uses maximum weight matching to build clusters per RB. Given the clusters, RB allocation is then optimal. The proposed algorithm provides a good trade-off between reduced overall network latency and rate improvement compared to two reference algorithms.</description><identifier>ISSN: 2162-2337</identifier><identifier>EISSN: 2162-2345</identifier><identifier>DOI: 10.1109/LWC.2019.2897796</identifier><identifier>CODEN: IWCLAF</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Algorithms ; Clustering ; Clustering algorithms ; Computer Science ; Information Theory ; Interference ; Network latency ; NOMA ; Nonorthogonal multiple access ; optimal matching ; Optimization ; proportional fairness ; Resource allocation ; Resource management ; Signal and Image Processing ; Time Division Multiple Access ; Uplink</subject><ispartof>IEEE wireless communications letters, 2019-06, Vol.8 (3), p.873-876</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c367t-a70a15f0d0fc9d9e3bf4c404beedbafbe6da4586e3cc014f67a9d516258e3fc93</citedby><cites>FETCH-LOGICAL-c367t-a70a15f0d0fc9d9e3bf4c404beedbafbe6da4586e3cc014f67a9d516258e3fc93</cites><orcidid>0000-0001-7148-9753 ; 0000-0002-9673-2075</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8634817$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,780,784,796,885,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8634817$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://cnam.hal.science/hal-02446283$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Pischella, Mylene</creatorcontrib><creatorcontrib>Le Ruyet, Didier</creatorcontrib><title>NOMA-Relevant Clustering and Resource Allocation for Proportional Fair Uplink Communications</title><title>IEEE wireless communications letters</title><addtitle>LWC</addtitle><description>This letter focuses on clustering and resource block (RB) allocation in multi-carrier uplink networks using power-domain non orthogonal multiple access (PD-NOMA). The optimization objective is time-based proportional fairness. PD-NOMA is applied per frame and RB only if the achieved individual data rates are larger with PD-NOMA than with time division multiple access. The clustering algorithm recursively uses maximum weight matching to build clusters per RB. Given the clusters, RB allocation is then optimal. The proposed algorithm provides a good trade-off between reduced overall network latency and rate improvement compared to two reference algorithms.</description><subject>Algorithms</subject><subject>Clustering</subject><subject>Clustering algorithms</subject><subject>Computer Science</subject><subject>Information Theory</subject><subject>Interference</subject><subject>Network latency</subject><subject>NOMA</subject><subject>Nonorthogonal multiple access</subject><subject>optimal matching</subject><subject>Optimization</subject><subject>proportional fairness</subject><subject>Resource allocation</subject><subject>Resource management</subject><subject>Signal and Image Processing</subject><subject>Time Division Multiple Access</subject><subject>Uplink</subject><issn>2162-2337</issn><issn>2162-2345</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kEtLw0AUhYMoWGr3gpsBVy5S55VJsgzBWiFaKRY3wjBJbjQ1zcSZpOC_d0Kkd3MffOfCOZ53TfCSEBzfZ-_pkmISL2kUh2EszrwZJYL6lPHg_DSz8NJbWLvHrgQmlEQz7-Nl85z4W2jgqNoepc1gezB1-4lUW6ItWD2YAlDSNLpQfa1bVGmDXo3utBlX1aCVqg3adU3dfqNUHw5DW0-ovfIuKtVYWPz3ubdbPbylaz_bPD6lSeYXTIS9r0KsSFDhEldFXMbA8ooXHPMcoMxVlYMoFQ8iAawoMOGVCFVcBs5TEAFzEjb37qa_X6qRnakPyvxKrWq5TjI53jDlXNCIHYljbye2M_pnANvLvbPofFhJHcW4ICx0FJ6owmhrDVSntwTLMXLpIpdj5PI_cie5mSQ1AJzwSDAekZD9AZcvfQU</recordid><startdate>20190601</startdate><enddate>20190601</enddate><creator>Pischella, Mylene</creator><creator>Le Ruyet, Didier</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><general>IEEE comsoc</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0001-7148-9753</orcidid><orcidid>https://orcid.org/0000-0002-9673-2075</orcidid></search><sort><creationdate>20190601</creationdate><title>NOMA-Relevant Clustering and Resource Allocation for Proportional Fair Uplink Communications</title><author>Pischella, Mylene ; Le Ruyet, Didier</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c367t-a70a15f0d0fc9d9e3bf4c404beedbafbe6da4586e3cc014f67a9d516258e3fc93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algorithms</topic><topic>Clustering</topic><topic>Clustering algorithms</topic><topic>Computer Science</topic><topic>Information Theory</topic><topic>Interference</topic><topic>Network latency</topic><topic>NOMA</topic><topic>Nonorthogonal multiple access</topic><topic>optimal matching</topic><topic>Optimization</topic><topic>proportional fairness</topic><topic>Resource allocation</topic><topic>Resource management</topic><topic>Signal and Image Processing</topic><topic>Time Division Multiple Access</topic><topic>Uplink</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pischella, Mylene</creatorcontrib><creatorcontrib>Le Ruyet, Didier</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>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>IEEE wireless communications letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Pischella, Mylene</au><au>Le Ruyet, Didier</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>NOMA-Relevant Clustering and Resource Allocation for Proportional Fair Uplink Communications</atitle><jtitle>IEEE wireless communications letters</jtitle><stitle>LWC</stitle><date>2019-06-01</date><risdate>2019</risdate><volume>8</volume><issue>3</issue><spage>873</spage><epage>876</epage><pages>873-876</pages><issn>2162-2337</issn><eissn>2162-2345</eissn><coden>IWCLAF</coden><abstract>This letter focuses on clustering and resource block (RB) allocation in multi-carrier uplink networks using power-domain non orthogonal multiple access (PD-NOMA). The optimization objective is time-based proportional fairness. PD-NOMA is applied per frame and RB only if the achieved individual data rates are larger with PD-NOMA than with time division multiple access. The clustering algorithm recursively uses maximum weight matching to build clusters per RB. Given the clusters, RB allocation is then optimal. The proposed algorithm provides a good trade-off between reduced overall network latency and rate improvement compared to two reference algorithms.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/LWC.2019.2897796</doi><tpages>4</tpages><orcidid>https://orcid.org/0000-0001-7148-9753</orcidid><orcidid>https://orcid.org/0000-0002-9673-2075</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 2162-2337
ispartof IEEE wireless communications letters, 2019-06, Vol.8 (3), p.873-876
issn 2162-2337
2162-2345
language eng
recordid cdi_ieee_primary_8634817
source IEEE Electronic Library (IEL)
subjects Algorithms
Clustering
Clustering algorithms
Computer Science
Information Theory
Interference
Network latency
NOMA
Nonorthogonal multiple access
optimal matching
Optimization
proportional fairness
Resource allocation
Resource management
Signal and Image Processing
Time Division Multiple Access
Uplink
title NOMA-Relevant Clustering and Resource Allocation for Proportional Fair Uplink Communications
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T11%3A59%3A23IST&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=NOMA-Relevant%20Clustering%20and%20Resource%20Allocation%20for%20Proportional%20Fair%20Uplink%20Communications&rft.jtitle=IEEE%20wireless%20communications%20letters&rft.au=Pischella,%20Mylene&rft.date=2019-06-01&rft.volume=8&rft.issue=3&rft.spage=873&rft.epage=876&rft.pages=873-876&rft.issn=2162-2337&rft.eissn=2162-2345&rft.coden=IWCLAF&rft_id=info:doi/10.1109/LWC.2019.2897796&rft_dat=%3Cproquest_RIE%3E2244346137%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=2244346137&rft_id=info:pmid/&rft_ieee_id=8634817&rfr_iscdi=true