Ali, Irfaan (2015) Real-time spectrum sensing for cognitive radio networks based on software defined radio. Other thesis, University of Southern Queensland. (Unpublished)
Abstract
Cognitive Radio systems have been identified as a solution to RF spectrum saturation, enabling dynamic reuse of already licenced and underutilised channels. The aim of this research project is to investigate, design and implement some spectrum sensing methods in real time. Spectrum sensing refers to the effective identification of licenced user transmissions and is vital to Cognitive Radio operation.
This dissertation aims at combining a laptop computer, with a digital USB TV tuner device utilised as a software defined radio peripheral to implement spectrum sensing. A complete Cognitive Radio System could not be developed due unavailability of an affordable software defined radio peripheral, namely the HackRF One, which is capable of receiving and transmitting.
The potential use of a Raspberry Pi computer to achieve the goals of this study was investigated. Research into the capabilities of the Raspberry Pi deemed it unsuitable as it was only able to transmit up to a frequency of 200 MHz and limited to a distance of about 50 meters. This band of frequencies fall outside the range of the Citizens Band Radio Service in Australia and using it to transmit risked a potential violation of regulations set by the Australian Communications and Media Authority. This study demonstrates the use of the MATLAB® Support Packages for
implementing a software defined radio. Specifically, interfacing the Realtek RTL 2832U TV tuner to implement and demonstrate some of the approaches for sensing the spectral environment. This ability of a cognitive radio is used to identify when a licensed user of a particular frequency or channel is not transmitting.
The focus of this project is to deliver some practical solutions for spectrum sensing and providing a test-bed for future cognitive radio research. This dissertation details the approaches and methodologies in the developing, implementing and testing spectrum sensing for cognitive radio. It also documents recommendations for the further developments in this area. The benefits of this work or parts of this work will include providing an alternative means of communicating in a geographical location, with a view to improving spectrum efficiency.
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| Item Type: | Thesis (Non-Research) (Other) |
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| Item Status: | Live Archive |
| Additional Information: | Current UniSQ staff and students can request access to this thesis. Please email research.repository@unisq.edu.au with a subject line of SEAR thesis request and provide: Name of the thesis requested and Your name and UniSQ email address. |
| Faculty/School / Institute/Centre: | Current - Faculty of Health, Engineering and Sciences - No Department (1 Jul 2013 -) |
| Supervisors: | Xiang, Wei; Ahfock, Antonio |
| Qualification: | Bachelor of Electrical and Electronic Engineering |
| Date Deposited: | 24 Jun 2026 02:06 |
| Last Modified: | 24 Jun 2026 02:08 |
| Uncontrolled Keywords: | RF spectrum, radio spectrum, Dynamic Spectrum Access technologies, DSA, Cognitive Radio Technologies, CR, Cognitive Radio systems, wireless communication |
| URI: | https://sear.unisq.edu.au/id/eprint/53207 |
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