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.