Course name: "Cognitive and Software Defined Radio"
Instructor: Hüseyin Arslan
The course will also be offered through FEEDS
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:
Application of SDR in advanced communication systems
Challenges and issues regarding the implementation of SDR
Adaptive wireless communication systems
Parameter estimation for adaptation of wireless communication systems (learning environment and other factors)
SDR and cognitive radio architectures
Spectrum efficiency and soft spectrum usage
Pre-requisites:
Some background on communications systems is needed to follow the course easily. EEL-6593 (Mobile and Personal Comm. Sys.) would be perfect preparation for this course. However, students who have not taken this course should be able to follow the course with some communications and signal processing background. As always, if somebody has a strong desire to learn this course, all the above prerequisites do not make sense and can be waived.
Enrollment:
Since this is a new course, the enrollment will be limited to 15 students.