Cognitive Radio for Microwave Spectrum Access

Knipe, Joshua (2024) Cognitive Radio for Microwave Spectrum Access. [USQ Project]

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Abstract

Within the microwave spectrum, new technologies such as the Internet of Things, 5G and Wi-Fi 6 are being implemented into an already allocated frequency spectrum. As the Australian Communications and Media Authority seeks new frequency management tools, cognitive radio techniques could reduce the alloted frequency bands or improve frequency utilisation within the microwave spectrum.

As cognitive radio research is generally focused on applying or modifying cognitive radio techniques for niche cases, there is a need for real-world applications or practical simulation data of cognitive radio techniques applied to new or upcoming technologies.

From a review of available cognitive radio techniques, a non-cooperative MaximumMinimum Eigenvalue (MME) Detection method was chosen to gather practical signal detection data of 5G New Radio, LTE and Wi-Fi 6 signals.

Using Python, the limited practical simulation data indicated that 5G New Radio is easier to detect when compared to LTE and Wi-Fi 6. Limited testing of the correlative and additive noise suggested that low signal-to-noise environments can result in false detections or reduction in detection ability.

Further work applying cognitive radio techniques to other microwave spectrum signals is required, as well as real-world testing.


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Item Type: USQ Project
Item Status: Live Archive
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Engineering (1 Jan 2022 -)
Supervisors: Leis, John
Qualification: Bachelor of Engineering (Honours) (Electrical & Electronic) and Bachelor of Science (Mathematics)
Date Deposited: 08 Oct 2025 04:42
Last Modified: 08 Oct 2025 04:42
Uncontrolled Keywords: microwave spectrum signals
URI: https://sear.unisq.edu.au/id/eprint/53060

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