A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment

The application of multiple-input multiple-output (MIMO) techniques to nonorthogonal multiple access (NOMA) systems is important to enhance the performance gains of NOMA. In this paper, a novel MIMO-NOMA framework for downlink and uplink transmission is proposed by applying the concept of signal ali...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on wireless communications 2016-06, Vol.15 (6), p.4438-4454
Hauptverfasser: Ding, Zhiguo, Schober, Robert, Poor, H. Vincent
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 4454
container_issue 6
container_start_page 4438
container_title IEEE transactions on wireless communications
container_volume 15
creator Ding, Zhiguo
Schober, Robert
Poor, H. Vincent
description The application of multiple-input multiple-output (MIMO) techniques to nonorthogonal multiple access (NOMA) systems is important to enhance the performance gains of NOMA. In this paper, a novel MIMO-NOMA framework for downlink and uplink transmission is proposed by applying the concept of signal alignment. By using stochastic geometry, closed-form analytical results are developed to facilitate the performance evaluation of the proposed framework for randomly deployed users and interferers. The impact of different power allocation strategies, namely fixed power allocation and cognitive radio inspired power allocation, on the performance of MIMO-NOMA is also investigated. Computer simulation results are provided to demonstrate the performance of the proposed framework and the accuracy of the developed analytical results.
doi_str_mv 10.1109/TWC.2016.2542066
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_miscellaneous_1825500042</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7433470</ieee_id><sourcerecordid>1825500042</sourcerecordid><originalsourceid>FETCH-LOGICAL-c432t-64a0d110c873992eae715c85eca6cb5595ba2550a8ff40713cbeb7b12bbba00a3</originalsourceid><addsrcrecordid>eNpdkM9LwzAUx4soOKd3wUvAi5fOJE2a9linmwPnDm54EUKavUq3NpnJxvC_N3XDg_DgfQ-f7_vxjaJrggeE4Px-_j4cUEzSAeWM4jQ9iXqE8yymlGWnnU7SmFCRnkcX3q8wJiLlvBd9FGgMBpxq0HQynaGRUy3srVujyjr0OpsW6NHuTVObNVJmiRabXzl3yvi29r62Bj0oD0sUxFv9acKgogm9BbO9jM4q1Xi4OvZ-tBg9zYfP8ctsPBkWL7FmCd3GKVN4GZ7QmUjynIICQbjOOGiV6pLznJeKco5VVlUMC5LoEkpRElqWpcJYJf3o7jB34-zXDvxWhtM0NI0yYHdekqyzY8xoQG__oSu7c-HqQIk8rMpDBQofKO2s9w4quXF1q9y3JFh2ccsQt-zilse4g-XmYKkB4A8XLEmYwMkPZXp53g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1795959959</pqid></control><display><type>article</type><title>A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment</title><source>IEEE Electronic Library (IEL)</source><creator>Ding, Zhiguo ; Schober, Robert ; Poor, H. Vincent</creator><creatorcontrib>Ding, Zhiguo ; Schober, Robert ; Poor, H. Vincent</creatorcontrib><description>The application of multiple-input multiple-output (MIMO) techniques to nonorthogonal multiple access (NOMA) systems is important to enhance the performance gains of NOMA. In this paper, a novel MIMO-NOMA framework for downlink and uplink transmission is proposed by applying the concept of signal alignment. By using stochastic geometry, closed-form analytical results are developed to facilitate the performance evaluation of the proposed framework for randomly deployed users and interferers. The impact of different power allocation strategies, namely fixed power allocation and cognitive radio inspired power allocation, on the performance of MIMO-NOMA is also investigated. Computer simulation results are provided to demonstrate the performance of the proposed framework and the accuracy of the developed analytical results.</description><identifier>ISSN: 1536-1276</identifier><identifier>EISSN: 1558-2248</identifier><identifier>DOI: 10.1109/TWC.2016.2542066</identifier><identifier>CODEN: ITWCAX</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Alignment ; Allocations ; Antennas ; Base stations ; Cognitive radio ; Downlink ; Interference ; Mathematical analysis ; MIMO ; Multiple access ; Resource management ; Strategy ; Uplink ; Uplinking ; Wireless communication</subject><ispartof>IEEE transactions on wireless communications, 2016-06, Vol.15 (6), p.4438-4454</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c432t-64a0d110c873992eae715c85eca6cb5595ba2550a8ff40713cbeb7b12bbba00a3</citedby><cites>FETCH-LOGICAL-c432t-64a0d110c873992eae715c85eca6cb5595ba2550a8ff40713cbeb7b12bbba00a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7433470$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7433470$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ding, Zhiguo</creatorcontrib><creatorcontrib>Schober, Robert</creatorcontrib><creatorcontrib>Poor, H. Vincent</creatorcontrib><title>A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment</title><title>IEEE transactions on wireless communications</title><addtitle>TWC</addtitle><description>The application of multiple-input multiple-output (MIMO) techniques to nonorthogonal multiple access (NOMA) systems is important to enhance the performance gains of NOMA. In this paper, a novel MIMO-NOMA framework for downlink and uplink transmission is proposed by applying the concept of signal alignment. By using stochastic geometry, closed-form analytical results are developed to facilitate the performance evaluation of the proposed framework for randomly deployed users and interferers. The impact of different power allocation strategies, namely fixed power allocation and cognitive radio inspired power allocation, on the performance of MIMO-NOMA is also investigated. Computer simulation results are provided to demonstrate the performance of the proposed framework and the accuracy of the developed analytical results.</description><subject>Alignment</subject><subject>Allocations</subject><subject>Antennas</subject><subject>Base stations</subject><subject>Cognitive radio</subject><subject>Downlink</subject><subject>Interference</subject><subject>Mathematical analysis</subject><subject>MIMO</subject><subject>Multiple access</subject><subject>Resource management</subject><subject>Strategy</subject><subject>Uplink</subject><subject>Uplinking</subject><subject>Wireless communication</subject><issn>1536-1276</issn><issn>1558-2248</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkM9LwzAUx4soOKd3wUvAi5fOJE2a9linmwPnDm54EUKavUq3NpnJxvC_N3XDg_DgfQ-f7_vxjaJrggeE4Px-_j4cUEzSAeWM4jQ9iXqE8yymlGWnnU7SmFCRnkcX3q8wJiLlvBd9FGgMBpxq0HQynaGRUy3srVujyjr0OpsW6NHuTVObNVJmiRabXzl3yvi29r62Bj0oD0sUxFv9acKgogm9BbO9jM4q1Xi4OvZ-tBg9zYfP8ctsPBkWL7FmCd3GKVN4GZ7QmUjynIICQbjOOGiV6pLznJeKco5VVlUMC5LoEkpRElqWpcJYJf3o7jB34-zXDvxWhtM0NI0yYHdekqyzY8xoQG__oSu7c-HqQIk8rMpDBQofKO2s9w4quXF1q9y3JFh2ccsQt-zilse4g-XmYKkB4A8XLEmYwMkPZXp53g</recordid><startdate>201606</startdate><enddate>201606</enddate><creator>Ding, Zhiguo</creator><creator>Schober, Robert</creator><creator>Poor, H. Vincent</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><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>201606</creationdate><title>A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment</title><author>Ding, Zhiguo ; Schober, Robert ; Poor, H. Vincent</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c432t-64a0d110c873992eae715c85eca6cb5595ba2550a8ff40713cbeb7b12bbba00a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Alignment</topic><topic>Allocations</topic><topic>Antennas</topic><topic>Base stations</topic><topic>Cognitive radio</topic><topic>Downlink</topic><topic>Interference</topic><topic>Mathematical analysis</topic><topic>MIMO</topic><topic>Multiple access</topic><topic>Resource management</topic><topic>Strategy</topic><topic>Uplink</topic><topic>Uplinking</topic><topic>Wireless communication</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ding, Zhiguo</creatorcontrib><creatorcontrib>Schober, Robert</creatorcontrib><creatorcontrib>Poor, H. Vincent</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><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on wireless communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ding, Zhiguo</au><au>Schober, Robert</au><au>Poor, H. Vincent</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment</atitle><jtitle>IEEE transactions on wireless communications</jtitle><stitle>TWC</stitle><date>2016-06</date><risdate>2016</risdate><volume>15</volume><issue>6</issue><spage>4438</spage><epage>4454</epage><pages>4438-4454</pages><issn>1536-1276</issn><eissn>1558-2248</eissn><coden>ITWCAX</coden><abstract>The application of multiple-input multiple-output (MIMO) techniques to nonorthogonal multiple access (NOMA) systems is important to enhance the performance gains of NOMA. In this paper, a novel MIMO-NOMA framework for downlink and uplink transmission is proposed by applying the concept of signal alignment. By using stochastic geometry, closed-form analytical results are developed to facilitate the performance evaluation of the proposed framework for randomly deployed users and interferers. The impact of different power allocation strategies, namely fixed power allocation and cognitive radio inspired power allocation, on the performance of MIMO-NOMA is also investigated. Computer simulation results are provided to demonstrate the performance of the proposed framework and the accuracy of the developed analytical results.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TWC.2016.2542066</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1536-1276
ispartof IEEE transactions on wireless communications, 2016-06, Vol.15 (6), p.4438-4454
issn 1536-1276
1558-2248
language eng
recordid cdi_proquest_miscellaneous_1825500042
source IEEE Electronic Library (IEL)
subjects Alignment
Allocations
Antennas
Base stations
Cognitive radio
Downlink
Interference
Mathematical analysis
MIMO
Multiple access
Resource management
Strategy
Uplink
Uplinking
Wireless communication
title A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T08%3A36%3A40IST&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=A%20General%20MIMO%20Framework%20for%20NOMA%20Downlink%20and%20Uplink%20Transmission%20Based%20on%20Signal%20Alignment&rft.jtitle=IEEE%20transactions%20on%20wireless%20communications&rft.au=Ding,%20Zhiguo&rft.date=2016-06&rft.volume=15&rft.issue=6&rft.spage=4438&rft.epage=4454&rft.pages=4438-4454&rft.issn=1536-1276&rft.eissn=1558-2248&rft.coden=ITWCAX&rft_id=info:doi/10.1109/TWC.2016.2542066&rft_dat=%3Cproquest_RIE%3E1825500042%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=1795959959&rft_id=info:pmid/&rft_ieee_id=7433470&rfr_iscdi=true