April 19, 2014
Alabbasi, a PhD student at the Networking LAB led by Prof. Basem Shihada, has
published a paper titled “Energy Efficiency and SINR Maximization Beamformers
for Cognitive Radio Utilizing Sensing Information” in the International Symposium
on Information Theory (ISIT) 2014. ISIT is considered among the top leading
conferences in information theory.
this work we consider a cognitive radio multi-input multi-output environment in
which we adapt the beamformer weights to maximize both energy efficiency and
signal to interference plus noise ratio (SINR) metrics. Our design considers an
underlaying communication using adaptive beamforming schemes combined with soft
sensing information to achieve an optimal energy efficient system. Since the
optimization of energy efficiency problem is not a convex problem, we transform
it into a standard semi-definite programming (SDP) form to guarantee that the
optimal solutions are global. Analytical solution is provided for one scheme,
while the other scheme is left in a standard SDP form. We further quantify the
impact of the sensing information on the proposed schemes compared to the
benchmark ones. The recorded improvement reaches up to 2 bits/Joule/Hz.
Alabbasi obtained his BSc. from IUG University in Gaza, Palestine, from the
electrical engineering department with excellence. He pursued his Master degree
from the Electro-Communications university in Tokyo, Japan. Currently, he is pursuing
his PhD in the electrical engineering department of KAUST at the Networking LAB.
His research focuses on resource allocation, spectrum sharing,
and spectrum sensing of wireless communication systems.