Sum Rate Maximization for IRS-Assisted Uplink NOMA
An intelligent reflecting surface (IRS) consists of a large number of low-cost reflecting elements, which can steer the incident signal collaboratively by passive beamforming. This way, IRS reconfigures the wireless environment to boost the system performance. In this letter, we consider an IRS-assi...
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| Veröffentlicht in: | IEEE communications letters 2021-01, Vol.25 (1), p.234-238 |
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| creator | Zeng, Ming Li, Xingwang Li, Gen Hao, Wanming Dobre, Octavia A. |
| description | An intelligent reflecting surface (IRS) consists of a large number of low-cost reflecting elements, which can steer the incident signal collaboratively by passive beamforming. This way, IRS reconfigures the wireless environment to boost the system performance. In this letter, we consider an IRS-assisted uplink non-orthogonal multiple access (NOMA) system. The objective is to maximize the sum rate of all users under individual power constraint. The considered problem requires a joint power control at the users and beamforming design at the IRS, and is non-convex. To handle it, semidefinite relaxation is employed, which provides a near-optimal solution. Presented numerical results show that the proposed NOMA-based scheme achieves a larger sum rate than orthogonal multiple access (OMA)-based one. Moreover, the impact of the number of reflecting elements on the sum rate is revealed. |
| doi_str_mv | 10.1109/LCOMM.2020.3025978 |
| format | Article |
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This way, IRS reconfigures the wireless environment to boost the system performance. In this letter, we consider an IRS-assisted uplink non-orthogonal multiple access (NOMA) system. The objective is to maximize the sum rate of all users under individual power constraint. The considered problem requires a joint power control at the users and beamforming design at the IRS, and is non-convex. To handle it, semidefinite relaxation is employed, which provides a near-optimal solution. Presented numerical results show that the proposed NOMA-based scheme achieves a larger sum rate than orthogonal multiple access (OMA)-based one. 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(IEEE) 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-960c86d831ab28efd74eb941d7d79e7c839759f741c24deee830ff123bccf19d3</citedby><cites>FETCH-LOGICAL-c295t-960c86d831ab28efd74eb941d7d79e7c839759f741c24deee830ff123bccf19d3</cites><orcidid>0000-0001-7263-5687 ; 0000-0001-8528-0512 ; 0000-0001-8446-9225 ; 0000-0002-0907-6517 ; 0000-0002-4465-3447</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9203956$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9203956$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zeng, Ming</creatorcontrib><creatorcontrib>Li, Xingwang</creatorcontrib><creatorcontrib>Li, Gen</creatorcontrib><creatorcontrib>Hao, Wanming</creatorcontrib><creatorcontrib>Dobre, Octavia A.</creatorcontrib><title>Sum Rate Maximization for IRS-Assisted Uplink NOMA</title><title>IEEE communications letters</title><addtitle>COML</addtitle><description>An intelligent reflecting surface (IRS) consists of a large number of low-cost reflecting elements, which can steer the incident signal collaboratively by passive beamforming. 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Moreover, the impact of the number of reflecting elements on the sum rate is revealed.</description><subject>Array signal processing</subject><subject>Beamforming</subject><subject>Eigenvalues and eigenfunctions</subject><subject>Intelligent reflecting surface (IRS)</subject><subject>Interference</subject><subject>NOMA</subject><subject>non-orthogonal multiple access (NOMA)</subject><subject>Nonorthogonal multiple access</subject><subject>Optimization</subject><subject>Power control</subject><subject>Quality of service</subject><subject>Signal to noise ratio</subject><subject>sum rate</subject><subject>Uplink</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>eNo9kMtOAjEUhhujiYi-gG4mcT14ejql7ZIQbwkjCci6GXpJisBgOyTq01uEuDn_WfyX5CPklsKAUlAPk_G0rgcICAMGyJWQZ6RHOZcl5nOef5CqFELJS3KV0goAJHLaIzjfb4pZ07mibr7CJvw0XWi3hW9j8Tqbl6OUQuqcLRa7ddh-FG_TenRNLnyzTu7mpH2yeHp8H7-Uk-nz63g0KQ0q3pVqCEYOrWS0WaJ03orKLVVFrbBCOWEkU4IrLypqsLLOOcnAe4psaYynyrI-uT_27mL7uXep06t2H7d5UmMlBFYyV2QXHl0mtilF5_Uuhk0TvzUFfWCj_9joAxt9YpNDd8dQyLv_AYXAFB-yXyp_Xmg</recordid><startdate>202101</startdate><enddate>202101</enddate><creator>Zeng, Ming</creator><creator>Li, Xingwang</creator><creator>Li, Gen</creator><creator>Hao, Wanming</creator><creator>Dobre, Octavia A.</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/0000-0001-7263-5687</orcidid><orcidid>https://orcid.org/0000-0001-8528-0512</orcidid><orcidid>https://orcid.org/0000-0001-8446-9225</orcidid><orcidid>https://orcid.org/0000-0002-0907-6517</orcidid><orcidid>https://orcid.org/0000-0002-4465-3447</orcidid></search><sort><creationdate>202101</creationdate><title>Sum Rate Maximization for IRS-Assisted Uplink NOMA</title><author>Zeng, Ming ; Li, Xingwang ; Li, Gen ; Hao, Wanming ; Dobre, Octavia A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-960c86d831ab28efd74eb941d7d79e7c839759f741c24deee830ff123bccf19d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Array signal processing</topic><topic>Beamforming</topic><topic>Eigenvalues and eigenfunctions</topic><topic>Intelligent reflecting surface (IRS)</topic><topic>Interference</topic><topic>NOMA</topic><topic>non-orthogonal multiple access (NOMA)</topic><topic>Nonorthogonal multiple access</topic><topic>Optimization</topic><topic>Power control</topic><topic>Quality of service</topic><topic>Signal to noise ratio</topic><topic>sum rate</topic><topic>Uplink</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zeng, Ming</creatorcontrib><creatorcontrib>Li, Xingwang</creatorcontrib><creatorcontrib>Li, Gen</creatorcontrib><creatorcontrib>Hao, Wanming</creatorcontrib><creatorcontrib>Dobre, Octavia A.</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>Zeng, Ming</au><au>Li, Xingwang</au><au>Li, Gen</au><au>Hao, Wanming</au><au>Dobre, Octavia A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sum Rate Maximization for IRS-Assisted Uplink NOMA</atitle><jtitle>IEEE communications letters</jtitle><stitle>COML</stitle><date>2021-01</date><risdate>2021</risdate><volume>25</volume><issue>1</issue><spage>234</spage><epage>238</epage><pages>234-238</pages><issn>1089-7798</issn><eissn>1558-2558</eissn><coden>ICLEF6</coden><abstract>An intelligent reflecting surface (IRS) consists of a large number of low-cost reflecting elements, which can steer the incident signal collaboratively by passive beamforming. This way, IRS reconfigures the wireless environment to boost the system performance. In this letter, we consider an IRS-assisted uplink non-orthogonal multiple access (NOMA) system. The objective is to maximize the sum rate of all users under individual power constraint. The considered problem requires a joint power control at the users and beamforming design at the IRS, and is non-convex. To handle it, semidefinite relaxation is employed, which provides a near-optimal solution. Presented numerical results show that the proposed NOMA-based scheme achieves a larger sum rate than orthogonal multiple access (OMA)-based one. 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| source | IEEE Electronic Library (IEL) |
| subjects | Array signal processing Beamforming Eigenvalues and eigenfunctions Intelligent reflecting surface (IRS) Interference NOMA non-orthogonal multiple access (NOMA) Nonorthogonal multiple access Optimization Power control Quality of service Signal to noise ratio sum rate Uplink |
| title | Sum Rate Maximization for IRS-Assisted Uplink NOMA |
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