Optimization of RIS-Aided MIMO -- A Mutually Coupled Loaded Wire Dipole Model
We consider a reconfigurable intelligent surface (RIS) assisted multiple-input multiple-output (MIMO) system in the presence of scattering objects. The MIMO transmitter and receiver, the RIS, and the scattering objects are modeled as mutually coupled thin wires connected to load impedances. We intro...
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| creator | Hassani, H. El Qian, X Jeong, S Perović, N. S Di Renzo, M Mursia, P Sciancalepore, V Costa-Pérez, X |
| description | We consider a reconfigurable intelligent surface (RIS) assisted
multiple-input multiple-output (MIMO) system in the presence of scattering
objects. The MIMO transmitter and receiver, the RIS, and the scattering objects
are modeled as mutually coupled thin wires connected to load impedances. We
introduce a novel numerical algorithm for optimizing the tunable loads
connected to the RIS, which does not utilize the Neumann series approximation.
The algorithm is provably convergent, has polynomial complexity with the number
of RIS elements, and outperforms the most relevant benchmark algorithms while
requiring fewer iterations and converging in a shorter time. |
| doi_str_mv | 10.48550/arxiv.2306.09480 |
| format | Article |
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multiple-input multiple-output (MIMO) system in the presence of scattering
objects. The MIMO transmitter and receiver, the RIS, and the scattering objects
are modeled as mutually coupled thin wires connected to load impedances. We
introduce a novel numerical algorithm for optimizing the tunable loads
connected to the RIS, which does not utilize the Neumann series approximation.
The algorithm is provably convergent, has polynomial complexity with the number
of RIS elements, and outperforms the most relevant benchmark algorithms while
requiring fewer iterations and converging in a shorter time.</description><identifier>DOI: 10.48550/arxiv.2306.09480</identifier><language>eng</language><subject>Computer Science - Information Theory ; Mathematics - Information Theory</subject><creationdate>2023-06</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2306.09480$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2306.09480$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Hassani, H. El</creatorcontrib><creatorcontrib>Qian, X</creatorcontrib><creatorcontrib>Jeong, S</creatorcontrib><creatorcontrib>Perović, N. S</creatorcontrib><creatorcontrib>Di Renzo, M</creatorcontrib><creatorcontrib>Mursia, P</creatorcontrib><creatorcontrib>Sciancalepore, V</creatorcontrib><creatorcontrib>Costa-Pérez, X</creatorcontrib><title>Optimization of RIS-Aided MIMO -- A Mutually Coupled Loaded Wire Dipole Model</title><description>We consider a reconfigurable intelligent surface (RIS) assisted
multiple-input multiple-output (MIMO) system in the presence of scattering
objects. The MIMO transmitter and receiver, the RIS, and the scattering objects
are modeled as mutually coupled thin wires connected to load impedances. We
introduce a novel numerical algorithm for optimizing the tunable loads
connected to the RIS, which does not utilize the Neumann series approximation.
The algorithm is provably convergent, has polynomial complexity with the number
of RIS elements, and outperforms the most relevant benchmark algorithms while
requiring fewer iterations and converging in a shorter time.</description><subject>Computer Science - Information Theory</subject><subject>Mathematics - Information Theory</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotz8tKxDAYBeBsXMiMD-DKvEDqn-Yy6bLUW6GhoAMuy0-TQCAzKbUVx6fXGV2dxTkc-Ai55VBIoxTc4_wVP4tSgC6gkgauie2nJR7iNy4xH2kO9LV9Y3V03lHb2p4yRmtq12XFlE60yeuUfqsu43nxHmdPH-KUk6c2O5-25Cpg-vA3_7kh-6fHffPCuv65beqOod4Bkxwc7CrUmjsduENpSjGiMnoMJiC6MGqhFEehOCDXpfeV5sCl5mascBQbcvd3e_EM0xwPOJ-Gs2u4uMQPmyZF4Q</recordid><startdate>20230615</startdate><enddate>20230615</enddate><creator>Hassani, H. El</creator><creator>Qian, X</creator><creator>Jeong, S</creator><creator>Perović, N. S</creator><creator>Di Renzo, M</creator><creator>Mursia, P</creator><creator>Sciancalepore, V</creator><creator>Costa-Pérez, X</creator><scope>AKY</scope><scope>AKZ</scope><scope>GOX</scope></search><sort><creationdate>20230615</creationdate><title>Optimization of RIS-Aided MIMO -- A Mutually Coupled Loaded Wire Dipole Model</title><author>Hassani, H. El ; Qian, X ; Jeong, S ; Perović, N. S ; Di Renzo, M ; Mursia, P ; Sciancalepore, V ; Costa-Pérez, X</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a670-410d079a661d6f1da4823ca586cf8faadfc63551a3510a162ee961014618c9ac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Computer Science - Information Theory</topic><topic>Mathematics - Information Theory</topic><toplevel>online_resources</toplevel><creatorcontrib>Hassani, H. El</creatorcontrib><creatorcontrib>Qian, X</creatorcontrib><creatorcontrib>Jeong, S</creatorcontrib><creatorcontrib>Perović, N. S</creatorcontrib><creatorcontrib>Di Renzo, M</creatorcontrib><creatorcontrib>Mursia, P</creatorcontrib><creatorcontrib>Sciancalepore, V</creatorcontrib><creatorcontrib>Costa-Pérez, X</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv Mathematics</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hassani, H. El</au><au>Qian, X</au><au>Jeong, S</au><au>Perović, N. S</au><au>Di Renzo, M</au><au>Mursia, P</au><au>Sciancalepore, V</au><au>Costa-Pérez, X</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of RIS-Aided MIMO -- A Mutually Coupled Loaded Wire Dipole Model</atitle><date>2023-06-15</date><risdate>2023</risdate><abstract>We consider a reconfigurable intelligent surface (RIS) assisted
multiple-input multiple-output (MIMO) system in the presence of scattering
objects. The MIMO transmitter and receiver, the RIS, and the scattering objects
are modeled as mutually coupled thin wires connected to load impedances. We
introduce a novel numerical algorithm for optimizing the tunable loads
connected to the RIS, which does not utilize the Neumann series approximation.
The algorithm is provably convergent, has polynomial complexity with the number
of RIS elements, and outperforms the most relevant benchmark algorithms while
requiring fewer iterations and converging in a shorter time.</abstract><doi>10.48550/arxiv.2306.09480</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Information Theory Mathematics - Information Theory |
| title | Optimization of RIS-Aided MIMO -- A Mutually Coupled Loaded Wire Dipole Model |
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