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 |
Files in This Item:
File | Description | Size | Format | |
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80_recommendation.pdf | Attached File | 254.42 kB | Adobe PDF | View/Open |
abstract.pdf | 143.87 kB | Adobe PDF | View/Open | |
chapter 1.pdf | 960.1 kB | Adobe PDF | View/Open | |
chapter 2.pdf | 427.23 kB | Adobe PDF | View/Open | |
chapter 3.pdf | 1.36 MB | Adobe PDF | View/Open | |
chapter 4.pdf | 640.22 kB | Adobe PDF | View/Open | |
chapter 5.pdf | 1.49 MB | Adobe PDF | View/Open | |
chapter 6.pdf | 159.46 kB | Adobe PDF | View/Open | |
plagrism.pdf | 1.72 MB | Adobe PDF | View/Open | |
refrence.pdf | 1.09 MB | Adobe PDF | View/Open | |
table.pdf | 2.98 MB | Adobe PDF | View/Open | |
title.pdf | 241.8 kB | Adobe PDF | View/Open |
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