Deep Learning based Novel Protocols for Low Altitude Aerial Vehicle in 5G Advanced and 6G Wireless Networks

dc.contributor.guideDas, Debabrata
dc.coverage.spatial
dc.creator.researcherVrind, Tushar
dc.date.accessioned2026-01-28T09:15:54Z
dc.date.available2026-01-28T09:15:54Z
dc.date.awarded2025
dc.date.completed2025
dc.date.registered2020
dc.description.abstractnewline
dc.description.note
dc.format.accompanyingmaterialNone
dc.format.dimensions
dc.format.extentxxix, 173p.
dc.identifier.researcherid0000-0002-1364-648X
dc.identifier.urihttp://hdl.handle.net/10603/690391
dc.languageEnglish
dc.publisher.institutionDepartment of Networking Communication and Signal Processing
dc.publisher.placeBangalore
dc.publisher.universityInternational Institute of Information Technology Bangalore
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keyword5G-advanced
dc.subject.keyword6G
dc.subject.keywordaerial communication
dc.subject.keywordComputer Science
dc.subject.keywordEngineering and Technology
dc.subject.keywordload balancing
dc.subject.keywordnetwork sharing
dc.subject.keywordsplit computing
dc.subject.keywordTelecommunications
dc.subject.keywordwireless for AI
dc.titleDeep Learning based Novel Protocols for Low Altitude Aerial Vehicle in 5G Advanced and 6G Wireless Networks
dc.title.alternative
dc.type.degreePh.D.

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