ECE Department Seminar

Spectrum Sensing Algorithms for Cognitive Radio Networks:
Solutions and Future Challenges

Swetha Namburu
Department Head
Electronics and Communication Engineering Department,
GRIET, Hyderabad, India.

Wednesday, March 17, 2021
10:30 am – 11:30 am
Zoom Meeting Link:
https://gmu.zoom.us/j/95111223306


Abstract: Cognitive Radio (CR) provides a promising solution to overcome the spectrum scarcity problem in wireless communications. It supports dynamic spectrum allocation feature to drive next generation communication. Spectrum sensing is the most prominent function that detects the presence of a signal in a radio channel in CR. The primary objective of spectrum sensing is to detect the low signal-to-noise ratio (SNR) signal, hidden in thermal noise. The secondary users are equipped with batteryoperated embedded processors that demand less computational complexand efficient spectrum sensing for real time deployment. Compressive sensing has been emerged as one of the promising signal processing technique for spectrum sensing. It exploits sub-Nyquist-rate sampling and hence overcomesthe limitation of high-speed Analog to Digital Converter (ADC) at the receiver. In this talk, I will present solutionsand research challenges in development of computationally simple and robust spectrum sensingalgorithms by leveraging compressive sampling. Further,I will discuss about machinelearning applications in radio signalprocessing.


Bio: Dr. Swetha Namburu is currently headingthe Department of Electronics and Communication Engineering, GRIET, Hyderabad, India. She obtained her Bachelors, Masters and PhD from JNTU, Hyderabad. Her domain of expertise include Spectrum Sensing for Cognitive Radio Networks, sparse modeling for compressed sensingapplications and 5G. She has seventeen years of experience in academia and published over 20 research articles in various journals and conference proceedings.