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Thesis Defence: Intelligent Automated Cognitive Radio System Design for Maritime Secure Communications

April 18 at 2:00 pm - 6:00 pm

Haoyu Wang, supervised by Dr. Julian Cheng, will defend their thesis titled “Intelligent Automated Cognitive Radio System Design for Maritime Secure Communications” in partial fulfillment of the requirements for the degree of Master of Applied Science in Electrical Engineering.

An abstract for Haoyu Wang’s thesis is included below.

Defences are open to all members of the campus community as well as the general public. Please email julian.cheng@ubc.ca to receive the Zoom link for this defence.


In maritime communications, particularly within the Royal Canadian Navy and Canadian Armed Forces, the prevalent use of static spectrum access presents significant inefficiencies, characterized by suboptimal spectrum utilization and the absence of automated frequency adaptability. To address these issues, this thesis designs an intelligent automated cognitive radio system. This system employs a hybrid Dynamic Spectrum Access (DSA) scheme, underpinned by deep reinforcement learning, to dynamically adjust to the maritime environment, thereby optimizing spectrum efficiency and enabling automatic frequency switching and power selection. Meanwhile, we specifically design a MAC protocol to enable the implementation of this scheme in GNU Radio. Additionally, we propose a novel wide-band cooperative spectrum sensing algorithm to obtain more accurate channel state information. Furthermore, the artificial noise used in this system enhances the communication security of primary users. Finally, we have implemented this system in GNU Radio and conducted experiments. Both simulation and experimental results have confirmed the effectiveness of the proposed solution, which allows secondary users to automatically switch frequency bands to access the radio environment without interfering with the normal transmissions of primary users, thereby improving spectrum utilization.


April 18
2:00 pm - 6:00 pm

Additional Info

Registration/RSVP Required
Yes (see event description)
Event Type
Thesis Defence
Research and Innovation, Science, Technology and Engineering
Alumni, Community, Faculty, Staff, Families, Partners and Industry, Students, Postdoctoral Fellows and Research Associates