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			<titleStmt><title level='a'>Full RIS-domain Standing Waves for Elements' Biasing</title></titleStmt>
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				<publisher>IEEE</publisher>
				<date>03/21/2024</date>
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				<bibl> 
					<idno type="par_id">10543693</idno>
					<idno type="doi">10.23919/USNC-URSINRSM60317.2024.10465191</idno>
					
					<author>Miguel A Saavedra-Melo</author><author>Kasra Rouhi</author><author>Benjamin Bradshaw</author><author>Filippo Capolino</author>
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			<abstract><ab><![CDATA[An innovative method has developed recently for biasing the varactors of a reconfigurable intelligent surface (RIS) by utilizing resonant standing waves on the “biasing transmission line (TL)” [E. Ayanoglu, F. Capolino, and A. L. Swindlehurst, “Wave-controlled metasurface-based reconfigurable intelligent surfaces,” IEEE Wireless Communications, vol. 29, no. 4, pp. 86-92,2022] located beneath the reflective surface. Using this approach, each RIS element does not require separate external biasing. For estimating the RIS reflection properties controlled by varactors, we analyze a planar array with phase gradient in one direction, of side length L, of reconfigurable elements. We employ the analytical model for predicting the reflection coefficients of the unit cells presented in [D. Hanna, M. Saavedra-Melo, F. Shan, and F. Capolino, “A versatile polynomial model for reflection by a reflective intelligent surface with varactors,” IEEE AP-S/URSI, 2022] and investigate how the standing wave biasing approach compares with the traditional way to generate field patterns of the reflected wave.]]></ab></abstract>
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<div xmlns="http://www.tei-c.org/ns/1.0"><p>93 978-1-946815-19-4 2024 USNC-URSI NRSM Authorized licensed use limited to: Access paid by The UC Irvine Libraries. Downloaded on September 24,2024 at 13:27:02 UTC from IEEE Xplore. Restrictions apply.</p></div></body>
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