Geospatial Cognitive Networking Protocols and Sensing Algorithms for 5G NR Beamforming

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dc.contributor.authorStevens, Brian
dc.contributor.authorYounis, Mohamed
dc.date.accessioned2022-10-11T16:41:01Z
dc.date.available2022-10-11T16:41:01Z
dc.date.issued2022-09-06
dc.description.abstractAlthough 5G New Radio (NR) has created new opportunities for cognitive radio networks, its increased physical layer security and flexibility limit the usefulness of traditional cognitive detectors such as energy and blind control channel algorithms. This paper presents CASINO-NR, a novel framework for establishing a cognitive self-reliant secondary network with no additional physical infrastructure, collaboration from the primary network nodes, and software or hardware changes to the existing 5G network. CASINO-NR includes a novel beam detection algorithm that finds and ranks 5G NR synchronization signals to determine geospatially non-interfering beams for secondary communications. We compare the developed beam detector with multiple existing approaches for sensitivity to interference and phase distortions. We also apply power control to prevent interference on neighboring beams. CASINO-NR is analyzed against the estimated throughput capacity and capabilities of other cognitive detectors found in literature. Finally, we examine an experimental beamforming example to demonstrate our beam detection algorithm and present a case for geospatial resources for cognitive radio communications.en_US
dc.description.urihttps://ieeexplore.ieee.org/abstract/document/9878144en_US
dc.format.extent17 pagesen_US
dc.genrejournal articlesen_US
dc.genrepostprintsen_US
dc.identifierdoi:10.13016/m2piu0-d6zs
dc.identifier.citationB. W. Stevens and M. F. Younis, "Geospatial Cognitive Networking Protocols and Sensing Algorithms for 5G NR Beamforming," in IEEE Transactions on Cognitive Communications and Networking, 2022, doi: 10.1109/TCCN.2022.3204536.en_US
dc.identifier.urihttps://doi.org/10.1109/TCCN.2022.3204536
dc.identifier.urihttp://hdl.handle.net/11603/26142
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rights© 2022 IEEE.  Personal use of this material is permitted.  Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.titleGeospatial Cognitive Networking Protocols and Sensing Algorithms for 5G NR Beamformingen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-7627-1478en_US
dcterms.creatorhttps://orcid.org/0000-0003-3865-9217en_US

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