Document Details

Document Type : Thesis 
Document Title :
MANAGING DATA TRAFFIC WITHIN 5G ENVIRONMENTS
إدارة ازدحام البيانات في بيئات الجيل الخامس
 
Subject : Faculty of Computing and Information Technology 
Document Language : Arabic 
Abstract : According to the 5G requirements and latest information, 5G networks will provide many benefits for different users through many applications. However, applications with massive numbers of users are raising new challenges such as data traffic management. In the 5G environments, data traffic management has increasingly attracted many researchers to handle this issue in future networks. However, it lacks standardization of the optimal techniques. Still, this issue requires more investigations to satisfy various users’ requirements. These challenges are generally starting from the network accessing schemas. Thus, it is very important to manage data traffic in different applications based on the network’s capacities. This thesis focuses on managing the data traffic within 5G networks, starting from the accessing schemas through Software-Defined Multiple Access (SoDeMa). Hence, this thesis has introduced a proposed model as a theoretical model of traffic management for providing services with minimum delay and other benefits such as quick accessing. Also, the proposed solution has considered fair resource utilization for massive applications. Initially, it is focused on using SoDeMa for both estimating and dealing with traffic volumes at the access level. As a result, the proposed model is developed to collect necessary measurements for managing the overall data traffic through a selected algorithm implemented in the OMNET++ environment. This research concludes with the traffic performance enhancement of the chosen algorithm employed in traffic management over 5G environments. 
Supervisor : Dr. Vijay Thayananathan 
Thesis Type : Doctorate Thesis 
Publishing Year : 1440 AH
2019 AD 
Added Date : Tuesday, April 16, 2019 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
أحمد جبران آل شفلوتAl-Shaflout, Ahmed JubranResearcherDoctorate 

Files

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 44352.pdf pdf 

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