Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/597442
Title: Quality of service aware resource allocation for integrated fiber wireless access networks
Researcher: Gupta, Akshita
Guide(s): Bohara, Vivek Ashok and Srivastava, Anand
Keywords: Engineering
Engineering and Technology
Engineering Electrical and Electronic
University: Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi)
Completed Date: 2024
Abstract: This thesis aims to propose an efficient resource allocation framework to ensure the quality of service (QoS) to the users. The frameworks proposed in this dissertation can be efficiently utilized to provide QoS guarantees by efficient resource allocation not only in the static FiWi network scenarios but also for the mobile vehicular networks. Specifically, this thesis is structured into four sections, namely energy resource allocation for green FiWi networks, QoS-aware high throughput FiWi network, latency reduction in FiWi-based vehicular networks, and emergency path planning for safe-driving in transportation Metaverse (TransVerse). The first section of this dissertation analyzes the techno, socio, and economic impact of energy resource allocation and provides 24/7 services to the users. In order to do so, we utilize a 3rd generation partnership project (3GPP) based model to generate the user request at the optical network unit (ONU) and access point (AP) collectively known as ONU-AP. These requests were used to calculate the load of the ONU-AP and further model the energy requirement, as well as allocate energy resources to provide 24/7 services to the users. In the second section, we extend the above work by utilizing the last 10 years data on available solar power to predict the amount of solar power that can be generated on a particular day. This would reduce the amount of charging and discharging cycles that are required by the battery and would improve the lifetime of the batteries. In a communication network, maintaining the latency and reliability requirements along with throughput is also crucial. Consequently, the second section of the thesis utilizes key performance indicators (KPIs) such as latency, reliability, and data rate-based classification to classify the data track at the APs into different services, such as voice, video, and best track. Based on this classification, the data traffic is assigned to different traffic containers (T-CONTs) of the PON.
Pagination: 251 p.
URI: http://hdl.handle.net/10603/597442
Appears in Departments:Electronics and Communication Engineering

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01-title.pdfAttached File49.03 kBAdobe PDFView/Open
02_prelim pages.pdf695.42 kBAdobe PDFView/Open
03_content.pdf218.63 kBAdobe PDFView/Open
04_abstract.pdf94.46 kBAdobe PDFView/Open
05_chapter 1.pdf766.57 kBAdobe PDFView/Open
06_chapter 2.pdf372.85 kBAdobe PDFView/Open
07_chapter 3.pdf1.34 MBAdobe PDFView/Open
08_chapter 4.pdf1.26 MBAdobe PDFView/Open
09_chapter 5.pdf696.12 kBAdobe PDFView/Open
10_annexures.pdf429.69 kBAdobe PDFView/Open
11_chapter 6.pdf994.38 kBAdobe PDFView/Open
12_chapter 7.pdf726.45 kBAdobe PDFView/Open
13_chapter 8.pdf605.1 kBAdobe PDFView/Open
80_recommendation.pdf238.34 kBAdobe PDFView/Open
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