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Vehicles communications handover in 5G: A survey
Faculty
Computer Science
Year:
2023
Type of Publication:
ZU Hosted
Pages:
366-378
Authors:
Khalied Mohamed Hosny
Staff Zu Site
Abstract In Staff Site
Journal:
ICT Express Elsevier
Volume:
9
Keywords :
Vehicles communications handover , , , survey
Abstract:
A communications system consists of interconnected telecommunications networks, transmission systems, relay stations, tributary stations, and terminal equipment. Increasing network limits to fulfill the developing needs of consumers has prompted the advancement of cell correspondence networks from 1G to 5G. Many heterogeneous connections request higher information rates, lesser postponements, improved framework limit, and predominant throughput. The accessible range of assets is restricted and should be deftly utilized by mobile network operators (MNOs) to cope with the rising demands. This paper presents a detailed survey on vehicular communications systems, their forms, and handover in each category in 5G networks.
Author Related Publications
Khalied Mohamed Hosny, "SEMANTIC REPRESENTATION OF MUSIC DATABASE USING NEW ONTOLOGY-BASED SYSTEM", Journal of Theoretical and Applied Information Technology, 2020
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Khalied Mohamed Hosny, "Building a New Semantic Social Network Using Semantic Web-Based Techniques", ِASPG, 2021
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Khalied Mohamed Hosny, "New Graphical Ultimate Processor for Mapping Relational Database to Resource Description Framework", IEEE, 2022
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Khalied Mohamed Hosny, "Fast computation of accurate Zernike moments", Springer, 2008
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Khalied Mohamed Hosny, "Accurate Computation of QPCET for Color Images in Different Coordinate Systems", SPIE, 2017
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Department Related Publications
Walid Ibrahim Ibrahim Khedr, "Ad-hoc on Demand Authentication Chain Protocol - An Authentication Protocol for Ad-Hoc Networks", Institute for Systems and Technologies of Information, Control and Communication, 2015
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Khalied Mohamed Hosny, "Robust Color Image Hashing Using Quaternion Polar Complex Exponential Transform for Image Authentication", Springer, 2018
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Khalied Mohamed Hosny, "Efficient compression of volumetric medical images using Legendre moments and differential evolution", Springer, 2020
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Ehab Roshdy Mohamed, "Efficient compression of volumetric medical images using Legendre moments and differential evolution", Springer, 2020
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Asmaa Mohamed Khalid Mohamed Abbas, "Efficient compression of volumetric medical images using Legendre moments and differential evolution", Springer, 2020
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