Cognitive & Software Defined Radio

Course Description

Today's wireless services have come a long way since the rollout of the conventional voice-centric cellular systems. The demand for wireless access in voice and high data rate multi-media applications has been increasing. New generation wireless communication systems are aimed at accommodating this demand through better resource management and improved transmission technologies. The interest in increasing the Spectrum Access and improving the Spectrum Efficiency combined with both the introduction of Software Defined Radios and the realization of the idea that machine learning can be applied to radios has created new intriguing possibilities for wireless radio researchers. This course targets to discuss the cognitive radio, software defined radio, and adaptive radio concepts from several aspects. The scope will include the following:


Basic knowledge of Fourier transforms and linear system analysis, digital signal processing, communication systems, and wireless communication systems are desirable, but not absolutely necessary. Students without any communications background should be prepared that certain portions of the course may be difficult to follow.

Books & References

We will not be using a specific text book for the course. We will create a data base(link) for including the related papers and documents, and these materials will be used for the course. The related references will be provided by the instructor. The lecture slides will be provided to the students through myUsf (blackboard).

Course Documents