Master’s Thesis Discussed at University of Technology: “Design Double Threshold Covariance Matrix Algorithm for Spectrum Sensing Cognitive Radio Based on SDR”
The Department of Electrical Engineering at the University of Technology hosted a defense for a master’s thesis titled “Design Double Threshold Covariance Matrix Algorithm for Spectrum Sensing Cognitive Radio Based on SDR.”
The thesis, presented by Bushra Talib Hashem, explored the concept of cognitive radio, a cutting-edge technology designed to maximize the use of limited spectrum resources. The research focused on the ability of unlicensed users in cognitive radio systems to detect whether licensed users are present within specific frequency bands. When a licensed user vacates a frequency band, the unlicensed users can temporarily utilize the spectrum, ensuring that the licensed user’s reappearance halts any unlicensed use to minimize interference. Spectrum sensing, a critical component of cognitive radio technology, was a key focus of the study.
The discussion panel for the thesis defense included:
- Prof. Dr. Hadeel Nasrat Abdullah – Chair
- Asst. Prof. Dr. Ali Jabir Abdul Wahhab – Member
- Lecturer Dr. Haider Malik Abdul Hadi – Member
- Prof. Dr. Hadi Tarish Zabon – Supervisor
- Prof. Dr. Sinan Majid Abdul Sattar – Supervisor
The thesis contributes to the advancement of cognitive radio systems, emphasizing efficient spectrum utilization while minimizing interference, a pressing need in modern wireless communication.
