Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/253231
Title: Software defined networking approach for data offloading in future wireless networks to support qos
Researcher: Sudha A
Guide(s): Dhananjay kumar
Keywords: data offloading
Engineering and Technology,Computer Science,Computer Science Information Systems
wireless networks
University: Anna University
Completed Date: 2018
Abstract: The rapid increase of data traffic in 4G wireless systems tends to newlinedegrade the Quality of Service (QoS). Long Term Evolution (LTE) system newlinewhile supporting Heterogeneous Networks (HetNets) and Machine-to- newlineMachine (M2M) communication can address QoS issues in high contention newlinetraffic scenarios. Deploying a new LTE Base Station (BS) or small cells such newlineas Pico and Femto cells in LTE network brings an additional cost to the newlinenetwork. Observing these cost-incurring solutions, alternative Wireless Local newlineArea Networks (WLANs) based network services can be incorporated to newlineoffload data while reducing the overload in the 4G networks. Authentication newlineof User Equipment (UE), LTE network, and WiFi Access Point (AP) is newlinesecurity requirement during data offloading because part of data is routed newlinethrough a third party public network. LTE-WLAN Aggregation (LWA) can newlinebe introduced by aggregating the service of LTE and WLAN to mitigate the newlinelatency and other QoS requirement of UE during offloading. LWA could be newlinesupported efficiently but must be updated for every new environment because newlineof the non-optimal aggregation triggers the network and demand for a newlinecentralized controller. To address the issue of seamless service in data newlineoffloading and LWA, Software Defined Networking (SDN) is implemented. newlineThe SDN logically centralizes, facilitates decision-making, and this nature newlinesupports data offloading in HetNets.. newline newline
Pagination: xxi, 132p.
URI: http://hdl.handle.net/10603/253231
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File169.09 kBAdobe PDFView/Open
02_certificates.pdf3.73 MBAdobe PDFView/Open
03_abstract.pdf8.62 kBAdobe PDFView/Open
04_acknowledgment.pdf4.33 kBAdobe PDFView/Open
05_contents.pdf79.22 kBAdobe PDFView/Open
06_chapter1.pdf1.26 MBAdobe PDFView/Open
07_chapter2.pdf2.71 MBAdobe PDFView/Open
08_chapter3.pdf1.86 MBAdobe PDFView/Open
09_chapter4.pdf4.89 MBAdobe PDFView/Open
10_chapter5.pdf1.68 MBAdobe PDFView/Open
11_conclusion.pdf77.28 kBAdobe PDFView/Open
12_appendix.pdf130.58 kBAdobe PDFView/Open
13_references.pdf104.4 kBAdobe PDFView/Open
14_publications.pdf71.52 kBAdobe PDFView/Open
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