Reconfigurable Intelligent Metasurfaces for Wireless Communication and Sensing Applications

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dc.contributor.authorHodge II, John Adamsen
dc.contributor.committeechairZaghloul, Amir I.en
dc.contributor.committeememberScales, Wayne A.en
dc.contributor.committeememberSpence, Thomas G.en
dc.contributor.committeememberManteghi, Majiden
dc.contributor.committeememberMili, Lamine M.en
dc.contributor.committeememberZheng, Xiaoyuen
dc.contributor.departmentElectrical Engineeringen
dc.date.accessioned2022-01-06T09:00:15Zen
dc.date.available2022-01-06T09:00:15Zen
dc.date.issued2022-01-05en
dc.description.abstractIn recent years, metasurfaces have shown promising abilities to control and manipulate electromagnetic (EM) waves through modified surface boundary conditions. These surfaces are electrically thin and comprise an array of spatially varying sub-wavelength scattering elements (or meta-atoms). Metasurfaces can transform an incident EM wave into an arbitrarily tailored transmitted or reflected wavefront through carefully engineering each meta-atom. Recent developments in metasurfaces have opened exciting new opportunities in antenna design, sensing, and communications systems. In particular, reconfigurable metasurfaces - wherein meta-atoms are embedded with active components - lead to the development of low-cost, lightweight, and compact systems capable of producing programmable radiation patterns and jointly performing multi-function communications, and enable advanced sensors for next-generation platforms. This research introduces reconfigurable metasurfaces and their various applications in designing simplified communications systems, wherein the RF aperture and transceiver are integrated within the metasurface. Finally, we will present our recent work on reconfigurable metasurfaces control, metasurface-enabled direct signal modulation, and deep learning-based metasurface design.en
dc.description.abstractgeneralMetasurfaces are a promising new technology to enhance the capacity and coverage of wireless communication networks by dynamically reconfiguring the wireless propagation environment. These low-profile artificial electromagnetic surfaces, consisting of subwavelength resonant elements, are capable of tailoring electromagnetic waves controllably. In this dissertation, we control the transmission or reflection properties of the surface using digital codes by embedding tunable elements within each subwavelength element. Furthermore, metasurface antennas are a promising candidate for reducing the cost and hardware footprint of wireless sensor systems, such as radar or imaging. Using a digital microcontroller, we program the metasurface to steer the antenna beam in the direction of interest, modulate the radio wave, or change the polarization of an incoming signal. In addition to dynamic beamforming capabilities, we program the metasurface to reduce the scattering of an incoming signal, thereby reducing its perturbations on the radio environment. Still, the design of metasurfaces for specific applications remains complex and technically challenging. Lastly, we present innovative deep learning techniques to simplify metasurface design.en
dc.description.degreeDoctor of Philosophyen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:33614en
dc.identifier.urihttp://hdl.handle.net/10919/107418en
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectMetasurfacesen
dc.subjectAntennasen
dc.subjectElectromagneticsen
dc.subjectReconfigurable Intelligent Surfacesen
dc.subjectWireless Communicationsen
dc.subjectDeep learning (Machine learning)en
dc.subjectSensingen
dc.titleReconfigurable Intelligent Metasurfaces for Wireless Communication and Sensing Applicationsen
dc.typeDissertationen
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.nameDoctor of Philosophyen

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