Stable Matching for Selection of Intelligent Reflecting Surfaces in Multiuser MISO Systems
In this letter, we present an intelligent reflecting surface (IRS) selection strategy for multiple IRSs aided multiuser multiple-input single-output (MISO) systems. In particular, we pose the IRS selection problem as a stable matching problem. A two stage user-IRS assignment algorithm is proposed, w...
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Veröffentlicht in: | IEEE communications letters 2021-08, Vol.25 (8), p.2748-2752 |
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description | In this letter, we present an intelligent reflecting surface (IRS) selection strategy for multiple IRSs aided multiuser multiple-input single-output (MISO) systems. In particular, we pose the IRS selection problem as a stable matching problem. A two stage user-IRS assignment algorithm is proposed, where the main objective is to carry out a stable user-IRS matching which improves the sum rate of the system. The first stage of the proposed algorithm employs a well-known Gale Shapley matching algorithm. Due to interference in multiuser systems, the matching obtained after the first stage may not be stable. To overcome this issue, one-sided (i.e., only IRSs) blocking pairs (BPs) are identified in the second stage of the proposed algorithm, where the BP is a pair of IRSs which are better off after exchanging their partners. Thus, the second stage validates stable matching in the proposed algorithm. Numerical results show that the proposed assignment achieves better sum rate performance compared to distance-based and random matching algorithms. |
doi_str_mv | 10.1109/LCOMM.2021.3083485 |
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In particular, we pose the IRS selection problem as a stable matching problem. A two stage user-IRS assignment algorithm is proposed, where the main objective is to carry out a stable user-IRS matching which improves the sum rate of the system. The first stage of the proposed algorithm employs a well-known Gale Shapley matching algorithm. Due to interference in multiuser systems, the matching obtained after the first stage may not be stable. To overcome this issue, one-sided (i.e., only IRSs) blocking pairs (BPs) are identified in the second stage of the proposed algorithm, where the BP is a pair of IRSs which are better off after exchanging their partners. Thus, the second stage validates stable matching in the proposed algorithm. Numerical results show that the proposed assignment achieves better sum rate performance compared to distance-based and random matching algorithms.</description><identifier>ISSN: 1089-7798</identifier><identifier>EISSN: 1558-2558</identifier><identifier>DOI: 10.1109/LCOMM.2021.3083485</identifier><identifier>CODEN: ICLEF6</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; Downlink ; Gaussian distribution ; Interference ; IRS ; Matching ; MISO (control systems) ; MISO communication ; MISO systems ; Multiuser systems ; Precoding ; Reconfigurable intelligent surfaces ; Rician channels ; Signal to noise ratio ; stable matching</subject><ispartof>IEEE communications letters, 2021-08, Vol.25 (8), p.2748-2752</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-8819c70031177d059fc648cc530ad387473798590234dd52728756097da49df13</citedby><cites>FETCH-LOGICAL-c295t-8819c70031177d059fc648cc530ad387473798590234dd52728756097da49df13</cites><orcidid>0000-0001-6502-0246 ; 0000-0001-5816-097X ; 0000-0001-8129-321X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9440448$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9440448$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Mirza, Jawad</creatorcontrib><creatorcontrib>Ali, Bakhtiar</creatorcontrib><creatorcontrib>Javed, Muhammad Awais</creatorcontrib><title>Stable Matching for Selection of Intelligent Reflecting Surfaces in Multiuser MISO Systems</title><title>IEEE communications letters</title><addtitle>LCOMM</addtitle><description>In this letter, we present an intelligent reflecting surface (IRS) selection strategy for multiple IRSs aided multiuser multiple-input single-output (MISO) systems. In particular, we pose the IRS selection problem as a stable matching problem. A two stage user-IRS assignment algorithm is proposed, where the main objective is to carry out a stable user-IRS matching which improves the sum rate of the system. The first stage of the proposed algorithm employs a well-known Gale Shapley matching algorithm. Due to interference in multiuser systems, the matching obtained after the first stage may not be stable. To overcome this issue, one-sided (i.e., only IRSs) blocking pairs (BPs) are identified in the second stage of the proposed algorithm, where the BP is a pair of IRSs which are better off after exchanging their partners. Thus, the second stage validates stable matching in the proposed algorithm. Numerical results show that the proposed assignment achieves better sum rate performance compared to distance-based and random matching algorithms.</description><subject>Algorithms</subject><subject>Downlink</subject><subject>Gaussian distribution</subject><subject>Interference</subject><subject>IRS</subject><subject>Matching</subject><subject>MISO (control systems)</subject><subject>MISO communication</subject><subject>MISO systems</subject><subject>Multiuser systems</subject><subject>Precoding</subject><subject>Reconfigurable intelligent surfaces</subject><subject>Rician channels</subject><subject>Signal to noise ratio</subject><subject>stable matching</subject><issn>1089-7798</issn><issn>1558-2558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtOwzAQRS0EElD4AdhYYp0yftX2ElU8KjWqRGDDxgqODanSBGxn0b_HfYjNzEhz79zRQeiGwJQQ0PfL-aospxQomTJQjCtxgi6IEKqguZzmGZQupNTqHF3GuAYARQW5QB9Vqj87h8s62e-2_8J-CLhynbOpHXo8eLzok-u69sv1Cb86v99kXTUGX1sXcdvjcuxSO0YXcLmoVrjaxuQ28Qqd-bqL7vrYJ-j96fFt_lIsV8-L-cOysFSLVChFtJUAjBApGxDa2xlX1goGdcOU5JLlt4UGynjTCCqpkmIGWjY1140nbILuDnd_wvA7upjMehhDnyMNzULCuM5IJogeVDYMMQbnzU9oN3XYGgJmx9DsGZodQ3NkmE23B1PrnPs3aM6Bc8X-AKHQa7I</recordid><startdate>20210801</startdate><enddate>20210801</enddate><creator>Mirza, Jawad</creator><creator>Ali, Bakhtiar</creator><creator>Javed, Muhammad Awais</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/0000-0001-6502-0246</orcidid><orcidid>https://orcid.org/0000-0001-5816-097X</orcidid><orcidid>https://orcid.org/0000-0001-8129-321X</orcidid></search><sort><creationdate>20210801</creationdate><title>Stable Matching for Selection of Intelligent Reflecting Surfaces in Multiuser MISO Systems</title><author>Mirza, Jawad ; Ali, Bakhtiar ; Javed, Muhammad Awais</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-8819c70031177d059fc648cc530ad387473798590234dd52728756097da49df13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Downlink</topic><topic>Gaussian distribution</topic><topic>Interference</topic><topic>IRS</topic><topic>Matching</topic><topic>MISO (control systems)</topic><topic>MISO communication</topic><topic>MISO systems</topic><topic>Multiuser systems</topic><topic>Precoding</topic><topic>Reconfigurable intelligent surfaces</topic><topic>Rician channels</topic><topic>Signal to noise ratio</topic><topic>stable matching</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mirza, Jawad</creatorcontrib><creatorcontrib>Ali, Bakhtiar</creatorcontrib><creatorcontrib>Javed, Muhammad Awais</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 communications letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mirza, Jawad</au><au>Ali, Bakhtiar</au><au>Javed, Muhammad Awais</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Stable Matching for Selection of Intelligent Reflecting Surfaces in Multiuser MISO Systems</atitle><jtitle>IEEE communications letters</jtitle><stitle>LCOMM</stitle><date>2021-08-01</date><risdate>2021</risdate><volume>25</volume><issue>8</issue><spage>2748</spage><epage>2752</epage><pages>2748-2752</pages><issn>1089-7798</issn><eissn>1558-2558</eissn><coden>ICLEF6</coden><abstract>In this letter, we present an intelligent reflecting surface (IRS) selection strategy for multiple IRSs aided multiuser multiple-input single-output (MISO) systems. In particular, we pose the IRS selection problem as a stable matching problem. A two stage user-IRS assignment algorithm is proposed, where the main objective is to carry out a stable user-IRS matching which improves the sum rate of the system. The first stage of the proposed algorithm employs a well-known Gale Shapley matching algorithm. Due to interference in multiuser systems, the matching obtained after the first stage may not be stable. To overcome this issue, one-sided (i.e., only IRSs) blocking pairs (BPs) are identified in the second stage of the proposed algorithm, where the BP is a pair of IRSs which are better off after exchanging their partners. Thus, the second stage validates stable matching in the proposed algorithm. 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subjects | Algorithms Downlink Gaussian distribution Interference IRS Matching MISO (control systems) MISO communication MISO systems Multiuser systems Precoding Reconfigurable intelligent surfaces Rician channels Signal to noise ratio stable matching |
title | Stable Matching for Selection of Intelligent Reflecting Surfaces in Multiuser MISO Systems |
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