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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 |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 65.91 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 204.19 kB | Adobe PDF | View/Open | |
03_content.pdf | 86.07 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 108.34 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 1.27 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 451.33 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 371.08 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.49 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 809.67 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 129.28 kB | Adobe PDF | View/Open | |
11_appendix a.pdf | 232.72 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 89.55 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 143.62 kB | Adobe PDF | View/Open |
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