Interference Alignment for One-Hop and Two-Hops MIMO Systems With Uncoordinated Interference
Providing higher data rate is a momentous goal for wireless communications systems, while interference is an important obstacle to reach this purpose. To cope with this problem, interference alignment (IA) has been proposed. In this paper, we propose two rank minimization methods to enhance the perf...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on communications 2020-02, Vol.68 (2), p.902-914 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 914 |
---|---|
container_issue | 2 |
container_start_page | 902 |
container_title | IEEE transactions on communications |
container_volume | 68 |
creator | Ghari, Siavash Mollaebrahim Ghari, Pouya M. Fazel, Mohammad Sadegh Brante, Glauber Imran, Muhammad Ali |
description | Providing higher data rate is a momentous goal for wireless communications systems, while interference is an important obstacle to reach this purpose. To cope with this problem, interference alignment (IA) has been proposed. In this paper, we propose two rank minimization methods to enhance the performance of IA in the presence of uncoordinated interference, i.e., interference that cannot be properly aligned with the rest of the network and thus is a crucial issue. In this scenario, perfect and imperfect channel state information (CSI) cases are considered. Our proposed approaches employ the l 2 and the Schattenp norms to approximate the rank function, due to its nonconvexity. Also, we propose a new convex relaxation to expand the feasible set of our optimization problem, providing lower rank solutions compared to other IA methods from the literature. In addition, we propose a modified weighted-sum method to deal with interference in the relay-aided MIMO interference channel, which employs a set of weighting parameters in order to find more solutions. |
doi_str_mv | 10.1109/TCOMM.2019.2955441 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_2358905246</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8911365</ieee_id><sourcerecordid>2358905246</sourcerecordid><originalsourceid>FETCH-LOGICAL-c339t-f18acc430e587833311a64bc73b3039090932a8314ffdeb072e3cbc8a6e1ca53</originalsourceid><addsrcrecordid>eNpNkEFLwzAUx4MoOKdfQC8Bz51JX9MmxzHUDVZ6sOJFCGn6qh1bOpMO2be3c0M8vXf4__7v8SPklrMJ50w9lLMizycx42oSKyGShJ-RERdCRkyK7JyMGFMsSrNMXpKrEFaMsYQBjMj7wvXoG_ToLNLpuv1wG3Q9bTpPC4fRvNtS42pafneHPdB8kRf0ZR963AT61vaf9NXZrvN160yPNf3fd00uGrMOeHOaY1I-PZazebQsnhez6TKyAKqPGi6NtQkwFDKTAMC5SZPKZlABAzV8riA2EnjSNDVWLIsRbGWlSZFbI2BM7o-1W9997TD0etXtvBsu6hiEVEzESTqk4mPK-i4Ej43e-nZj_F5zpg8S9a9EfZCoTxIH6O4ItYj4B0jFOaQCfgCzQW1p</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2358905246</pqid></control><display><type>article</type><title>Interference Alignment for One-Hop and Two-Hops MIMO Systems With Uncoordinated Interference</title><source>IEEE Electronic Library (IEL)</source><creator>Ghari, Siavash Mollaebrahim ; Ghari, Pouya M. ; Fazel, Mohammad Sadegh ; Brante, Glauber ; Imran, Muhammad Ali</creator><creatorcontrib>Ghari, Siavash Mollaebrahim ; Ghari, Pouya M. ; Fazel, Mohammad Sadegh ; Brante, Glauber ; Imran, Muhammad Ali</creatorcontrib><description>Providing higher data rate is a momentous goal for wireless communications systems, while interference is an important obstacle to reach this purpose. To cope with this problem, interference alignment (IA) has been proposed. In this paper, we propose two rank minimization methods to enhance the performance of IA in the presence of uncoordinated interference, i.e., interference that cannot be properly aligned with the rest of the network and thus is a crucial issue. In this scenario, perfect and imperfect channel state information (CSI) cases are considered. Our proposed approaches employ the l 2 and the Schattenp norms to approximate the rank function, due to its nonconvexity. Also, we propose a new convex relaxation to expand the feasible set of our optimization problem, providing lower rank solutions compared to other IA methods from the literature. In addition, we propose a modified weighted-sum method to deal with interference in the relay-aided MIMO interference channel, which employs a set of weighting parameters in order to find more solutions.</description><identifier>ISSN: 0090-6778</identifier><identifier>EISSN: 1558-0857</identifier><identifier>DOI: 10.1109/TCOMM.2019.2955441</identifier><identifier>CODEN: IECMBT</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Alignment ; Base stations ; Channel estimation ; Convexity ; Interference ; Interference alignment ; Interference channels ; MIMO (control systems) ; MIMO communication ; MIMO interference channel ; Norms ; Optimization ; Order parameters ; Receivers ; relay-aided MIMO interference channel ; Relays ; Wireless communication systems ; Wireless communications</subject><ispartof>IEEE transactions on communications, 2020-02, Vol.68 (2), p.902-914</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c339t-f18acc430e587833311a64bc73b3039090932a8314ffdeb072e3cbc8a6e1ca53</citedby><cites>FETCH-LOGICAL-c339t-f18acc430e587833311a64bc73b3039090932a8314ffdeb072e3cbc8a6e1ca53</cites><orcidid>0000-0001-6006-4274 ; 0000-0002-5410-840X ; 0000-0001-9116-5211 ; 0000-0003-4743-9136</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8911365$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8911365$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ghari, Siavash Mollaebrahim</creatorcontrib><creatorcontrib>Ghari, Pouya M.</creatorcontrib><creatorcontrib>Fazel, Mohammad Sadegh</creatorcontrib><creatorcontrib>Brante, Glauber</creatorcontrib><creatorcontrib>Imran, Muhammad Ali</creatorcontrib><title>Interference Alignment for One-Hop and Two-Hops MIMO Systems With Uncoordinated Interference</title><title>IEEE transactions on communications</title><addtitle>TCOMM</addtitle><description>Providing higher data rate is a momentous goal for wireless communications systems, while interference is an important obstacle to reach this purpose. To cope with this problem, interference alignment (IA) has been proposed. In this paper, we propose two rank minimization methods to enhance the performance of IA in the presence of uncoordinated interference, i.e., interference that cannot be properly aligned with the rest of the network and thus is a crucial issue. In this scenario, perfect and imperfect channel state information (CSI) cases are considered. Our proposed approaches employ the l 2 and the Schattenp norms to approximate the rank function, due to its nonconvexity. Also, we propose a new convex relaxation to expand the feasible set of our optimization problem, providing lower rank solutions compared to other IA methods from the literature. In addition, we propose a modified weighted-sum method to deal with interference in the relay-aided MIMO interference channel, which employs a set of weighting parameters in order to find more solutions.</description><subject>Alignment</subject><subject>Base stations</subject><subject>Channel estimation</subject><subject>Convexity</subject><subject>Interference</subject><subject>Interference alignment</subject><subject>Interference channels</subject><subject>MIMO (control systems)</subject><subject>MIMO communication</subject><subject>MIMO interference channel</subject><subject>Norms</subject><subject>Optimization</subject><subject>Order parameters</subject><subject>Receivers</subject><subject>relay-aided MIMO interference channel</subject><subject>Relays</subject><subject>Wireless communication systems</subject><subject>Wireless communications</subject><issn>0090-6778</issn><issn>1558-0857</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkEFLwzAUx4MoOKdfQC8Bz51JX9MmxzHUDVZ6sOJFCGn6qh1bOpMO2be3c0M8vXf4__7v8SPklrMJ50w9lLMizycx42oSKyGShJ-RERdCRkyK7JyMGFMsSrNMXpKrEFaMsYQBjMj7wvXoG_ToLNLpuv1wG3Q9bTpPC4fRvNtS42pafneHPdB8kRf0ZR963AT61vaf9NXZrvN160yPNf3fd00uGrMOeHOaY1I-PZazebQsnhez6TKyAKqPGi6NtQkwFDKTAMC5SZPKZlABAzV8riA2EnjSNDVWLIsRbGWlSZFbI2BM7o-1W9997TD0etXtvBsu6hiEVEzESTqk4mPK-i4Ej43e-nZj_F5zpg8S9a9EfZCoTxIH6O4ItYj4B0jFOaQCfgCzQW1p</recordid><startdate>20200201</startdate><enddate>20200201</enddate><creator>Ghari, Siavash Mollaebrahim</creator><creator>Ghari, Pouya M.</creator><creator>Fazel, Mohammad Sadegh</creator><creator>Brante, Glauber</creator><creator>Imran, Muhammad Ali</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>7SP</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0001-6006-4274</orcidid><orcidid>https://orcid.org/0000-0002-5410-840X</orcidid><orcidid>https://orcid.org/0000-0001-9116-5211</orcidid><orcidid>https://orcid.org/0000-0003-4743-9136</orcidid></search><sort><creationdate>20200201</creationdate><title>Interference Alignment for One-Hop and Two-Hops MIMO Systems With Uncoordinated Interference</title><author>Ghari, Siavash Mollaebrahim ; Ghari, Pouya M. ; Fazel, Mohammad Sadegh ; Brante, Glauber ; Imran, Muhammad Ali</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c339t-f18acc430e587833311a64bc73b3039090932a8314ffdeb072e3cbc8a6e1ca53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Alignment</topic><topic>Base stations</topic><topic>Channel estimation</topic><topic>Convexity</topic><topic>Interference</topic><topic>Interference alignment</topic><topic>Interference channels</topic><topic>MIMO (control systems)</topic><topic>MIMO communication</topic><topic>MIMO interference channel</topic><topic>Norms</topic><topic>Optimization</topic><topic>Order parameters</topic><topic>Receivers</topic><topic>relay-aided MIMO interference channel</topic><topic>Relays</topic><topic>Wireless communication systems</topic><topic>Wireless communications</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ghari, Siavash Mollaebrahim</creatorcontrib><creatorcontrib>Ghari, Pouya M.</creatorcontrib><creatorcontrib>Fazel, Mohammad Sadegh</creatorcontrib><creatorcontrib>Brante, Glauber</creatorcontrib><creatorcontrib>Imran, Muhammad Ali</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 & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ghari, Siavash Mollaebrahim</au><au>Ghari, Pouya M.</au><au>Fazel, Mohammad Sadegh</au><au>Brante, Glauber</au><au>Imran, Muhammad Ali</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Interference Alignment for One-Hop and Two-Hops MIMO Systems With Uncoordinated Interference</atitle><jtitle>IEEE transactions on communications</jtitle><stitle>TCOMM</stitle><date>2020-02-01</date><risdate>2020</risdate><volume>68</volume><issue>2</issue><spage>902</spage><epage>914</epage><pages>902-914</pages><issn>0090-6778</issn><eissn>1558-0857</eissn><coden>IECMBT</coden><abstract>Providing higher data rate is a momentous goal for wireless communications systems, while interference is an important obstacle to reach this purpose. To cope with this problem, interference alignment (IA) has been proposed. In this paper, we propose two rank minimization methods to enhance the performance of IA in the presence of uncoordinated interference, i.e., interference that cannot be properly aligned with the rest of the network and thus is a crucial issue. In this scenario, perfect and imperfect channel state information (CSI) cases are considered. Our proposed approaches employ the l 2 and the Schattenp norms to approximate the rank function, due to its nonconvexity. Also, we propose a new convex relaxation to expand the feasible set of our optimization problem, providing lower rank solutions compared to other IA methods from the literature. In addition, we propose a modified weighted-sum method to deal with interference in the relay-aided MIMO interference channel, which employs a set of weighting parameters in order to find more solutions.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TCOMM.2019.2955441</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-6006-4274</orcidid><orcidid>https://orcid.org/0000-0002-5410-840X</orcidid><orcidid>https://orcid.org/0000-0001-9116-5211</orcidid><orcidid>https://orcid.org/0000-0003-4743-9136</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 0090-6778 |
ispartof | IEEE transactions on communications, 2020-02, Vol.68 (2), p.902-914 |
issn | 0090-6778 1558-0857 |
language | eng |
recordid | cdi_proquest_journals_2358905246 |
source | IEEE Electronic Library (IEL) |
subjects | Alignment Base stations Channel estimation Convexity Interference Interference alignment Interference channels MIMO (control systems) MIMO communication MIMO interference channel Norms Optimization Order parameters Receivers relay-aided MIMO interference channel Relays Wireless communication systems Wireless communications |
title | Interference Alignment for One-Hop and Two-Hops MIMO Systems With Uncoordinated Interference |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-16T00%3A12%3A59IST&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=Interference%20Alignment%20for%20One-Hop%20and%20Two-Hops%20MIMO%20Systems%20With%20Uncoordinated%20Interference&rft.jtitle=IEEE%20transactions%20on%20communications&rft.au=Ghari,%20Siavash%20Mollaebrahim&rft.date=2020-02-01&rft.volume=68&rft.issue=2&rft.spage=902&rft.epage=914&rft.pages=902-914&rft.issn=0090-6778&rft.eissn=1558-0857&rft.coden=IECMBT&rft_id=info:doi/10.1109/TCOMM.2019.2955441&rft_dat=%3Cproquest_RIE%3E2358905246%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=2358905246&rft_id=info:pmid/&rft_ieee_id=8911365&rfr_iscdi=true |