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Professor: M. Reza Soleymani
Group: Wireless and Satellite
Communications Lab.
Department: Electrical and Computer
Engineering
University: Concordia
University
Research
Project: Increasing
Capacity and Coverage of Wireless Networks using Cognitive Radio Technology
OPNET Software in Use: OPNET Modeler, Flow Analysis
Module, Wireless Module, and LTE Specialized Model
Research Overview:
Benefiting
from the advances in the areas of communications, signal processing and
VLSI has resulted in development of new standards such as 3GPP’s LTE (Long
Term Evolution) promising manifold increase in network capacity. In spite
of this, the increase in the number and level of sophistication of wireless
network clients is more than likely to devour this increased capacity more
quickly than anticipated. Therefore, it seems obvious that much better use
of the frequency spectrum will be essential for the future generations
wireless communication networks.
In
Cognitive Radio usually the PU’s have absolute priority over SU’s. That is,
when a primary user starts using the spectrum, the secondary user has to
immediately vacate the frequency slot (s) it is using. In this research
project our goal is to increase the spectrum efficiency by allowing
coexistence of the PU’s and SU’s through the use of advanced channel coding
techniques and multiuser detection (interference cancellation) and to study
how different SUs can coexist in shared spectrum.
In
this project we use OPNET Modeler to study the coexistence of LTE and WiFi systems in the same spectrum.
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