Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/572656
Title: SDN Based Handover Management In 5G Network
Researcher: Devendra Kumar Somwanshi
Guide(s): Rakesh Kumar Yadav
Keywords: Engineering
Engineering and Technology
Engineering Electrical and Electronic
University: Glocal University
Completed Date: 2023
Abstract: ABSTRACT newlineWith the rapid proliferation of mobile devices and the ever-increasing demand for high-speed and reliable wireless connectivity, the fifth-generation (5G) networks have emerged as a promising solution. One of the critical challenges in 5G networks is the seamless handover of mobile devices between different network cells to ensure uninterrupted services. Software Defined Networking (SDN) has gained considerable attention due to its ability to provide centralized network control and management, making it a suitable technology for addressing handover management in 5G networks. This abstract presents an overview of SDN-based handover management in 5G networks. Traditional handover mechanisms in cellular networks face limitations such as long latency, suboptimal network utilization, and complex network configurations. SDN offers an alternative approach by decoupling the control plane from the data plane and providing a centralized controller to manage the network. In the proposed SDN-based handover management architecture, the controller acts as the central authority responsible for coordinating handover decisions and managing the necessary network resources. By leveraging real-time information from network elements, such as base stations and user devices, the controller can dynamically optimize handover decisions based on various factors, including signal quality, traffic load, and user preferences. The key advantages of SDN-based handover management in 5G networks include improved handover latency, enhanced network scalability, and efficient resource allocation. The centralized control and programmability of SDN enable dynamic adaptation to changing network conditions, resulting in faster handover completion times and reduced service disruptions. Moreover, the ability to optimize resource allocation based on real-time network information allows for better utilization of available network capacity, ensuring a seamless use
Pagination: 
URI: http://hdl.handle.net/10603/572656
Appears in Departments:computer science and engineering

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80_recommendation.pdfAttached File254.42 kBAdobe PDFView/Open
abstract.pdf143.87 kBAdobe PDFView/Open
chapter 1.pdf960.1 kBAdobe PDFView/Open
chapter 2.pdf427.23 kBAdobe PDFView/Open
chapter 3.pdf1.36 MBAdobe PDFView/Open
chapter 4.pdf640.22 kBAdobe PDFView/Open
chapter 5.pdf1.49 MBAdobe PDFView/Open
chapter 6.pdf159.46 kBAdobe PDFView/Open
plagrism.pdf1.72 MBAdobe PDFView/Open
refrence.pdf1.09 MBAdobe PDFView/Open
table.pdf2.98 MBAdobe PDFView/Open
title.pdf241.8 kBAdobe PDFView/Open
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