Document Details

Document Type : Thesis 
Document Title :
Enhancing the Capacity of Macro Cell Network by Wi-Fi Traffic Offloading
تحسين سعة الشبكات اللاسلكية باستخدام توجيه البيانات لشبكة الواي فاي
 
Subject : Faculty of Computing and Information Technology 
Document Language : Arabic 
Abstract : Nowadays, the popularity of smart phones creates huge capacity requirements for networks during mass events where thousands of people coexist in specific area. At such events, large numbers of people use their smartphones to share pictures and download information. Thus, planning for these dense network conditions must consider Macro-cell offloading. In this context, reducing the cell size has always been the best way to increase the network capacity of LTE. Wi-Fi Access Points are used to enable offloading data-traffic from the Macro-cell network to increase the capacity. In this thesis, to achieve efficient user offloading from macro to Wi-Fi As, we propose an optimized offloading algorithm based on throughput or perceived rate threshold in the down link power control with taking into account balancing the load between the two tires. This will enable better network capacity where mobile users can satisfy their minimum Quality of Service (QoS) requirements, and increasing overall performance of dense cellular networks. In addition, the proposed offloading mechanism in terms of total throughput and outage probability is studied. Results showed that the potential increase of the number of supported users per Macro-cell in joint macro and Wi-Fi Aps deployments highly depends on the type of used channels in APs along with the number of APs deployed in the area. 
Supervisor : Dr. Ghadah Aldabbagh 
Thesis Type : Master Thesis 
Publishing Year : 1438 AH
2017 AD 
Co-Supervisor : Dr. Fatma Bouabdallah 
Added Date : Thursday, July 27, 2017 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
ثماري عبدالله الرحيليAl-Ruhaili, Thamary AbdullahResearcherMaster 

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 42291.pdf pdf 

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