Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/437879
Title: Efficient interference cancellation and mobility management techniques in sdn based heterogeneous wireless networks
Researcher: Kiruthika V
Guide(s): Sumathy V
Keywords: Engineering and Technology
Computer Science
Computer Science Information Systems
Cognitive Radio Network
SDN- MANET
Wi-Fi links
University: Anna University
Completed Date: 2022
Abstract: The Cognitive Radio Network (CRN) Communication paradigm in 5G networks provide an effective infrastructure for enabling different smart city applications like smart parking, smart infrastructure, public safety applications etc., In future smart cities, dense deployment of wireless networks like Wi-Fi, WSN and MANET etc., can be integrated with 5G networks using CRN communication. This Cognitive Radio is a technology which acts according to the surrounding environment and improves spectrum utilization by performing Dynamic Spectrum Access (DSA).This DSA approach allows unlicensed users (Secondary Users) to opportunistically access the unused portions of the licensed spectrum without interfering with licensed users. During disasters, Cognitive Radio sense the available spectrum thereby the victims can communicate with the first responders using the free available spectrum. The Cognitive Radio and 5G networks have been considered as the two emerging technologies to meet heavy mobile data of future wireless networks especially during emergency situations. newline
Pagination: xvii, 110p.
URI: http://hdl.handle.net/10603/437879
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File32.41 kBAdobe PDFView/Open
02_prelim pages.pdf2.2 MBAdobe PDFView/Open
03_content.pdf336.76 kBAdobe PDFView/Open
04_abstract.pdf171.84 kBAdobe PDFView/Open
05_chapter 1.pdf803.6 kBAdobe PDFView/Open
06_chapter 2.pdf776.8 kBAdobe PDFView/Open
07_chapter 3.pdf580.97 kBAdobe PDFView/Open
08_chapter 4.pdf498.37 kBAdobe PDFView/Open
09_chapter 5.pdf511.22 kBAdobe PDFView/Open
10_annexures.pdf109.81 kBAdobe PDFView/Open
80_recommendation.pdf91.25 kBAdobe PDFView/Open
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