Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/525112
Title: Optimum Sensing and Opportunistic Channel Access in Cognitive Radio Networks
Researcher: Santhoshkumar, M
Guide(s): Premkumar, K
Keywords: Engineering
Engineering and Technology
Engineering Electrical and Electronic
University: Indian Institute of Information Technology Design and Manufacturing Kancheepuram
Completed Date: 2023
Abstract: In conventional static spectrum allocation, at any given time, a huge portion of the spectrum is either under-utilized, or unused. To overcome this shortcoming of the existing static spectrum allocation, cognitive radio has been introduced. In cognitive radio networks, there is a set of primary users (PUs), and a set of secondary users (SUs), where the SUs seek for opportunistic channel access in the PUs channels to transmit their data. At a given time, depending on whether a PU has data to transmit or not, the corresponding channel is busy or idle. The SUs carry out sensing to ascertain the availability of the channels, and transmit data, if a channel is found to be idle. The SUs considered are energy-limited devices, and hence, energy must be managed efficiently. With this objective, we propose various algorithms that achieve maximal energy efficiency, or throughput. The SU allocates a substantial portion of its energy for channel state detection, transmission of its data, and for channel switching. Therefore, in this Thesis, we focus on the development of energy-efficient channel sensing, access, and switching algorithms. newlineFirstly, we study the problem of joint channel-sensing and channel-access in CRN. The channel sensing problem that we consider is detecting whether or not there is an unknown signal (with random fading) in noise. We consider time-slotted system in all our problems. For this channel sensing problem, we consider one channel and M SUs. We propose a sequential detection procedure in which each SU takes samples sequentially, one at a time, computes the average energy of the samples and compares with two thresholds. If it is greater than the upper threshold, the channel declared to be busy; otherwise, if it is less than the lower threshold, then the channel declared to be idle. If it falls between the two thresholds, the SU continues to sense until it reaches a maximum number of samples. As soon as an SU detects the idle/busy state of the channel, it broadcasts its local decision to all other SUs.
Pagination: xxviii, 113
URI: http://hdl.handle.net/10603/525112
Appears in Departments:Electrical and Electronics Engineering

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02_prelim pages.pdf204.19 kBAdobe PDFView/Open
03_content.pdf86.07 kBAdobe PDFView/Open
04_abstract.pdf108.34 kBAdobe PDFView/Open
05_chapter 1.pdf1.27 MBAdobe PDFView/Open
06_chapter 2.pdf451.33 kBAdobe PDFView/Open
07_chapter 3.pdf371.08 kBAdobe PDFView/Open
08_chapter 4.pdf1.49 MBAdobe PDFView/Open
09_chapter 5.pdf809.67 kBAdobe PDFView/Open
10_chapter 6.pdf129.28 kBAdobe PDFView/Open
11_appendix a.pdf232.72 kBAdobe PDFView/Open
12_annexures.pdf89.55 kBAdobe PDFView/Open
80_recommendation.pdf143.62 kBAdobe PDFView/Open
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