My research interest is in the area of design and implementation of software radio platforms for cognitive radio networks. My research motivation is the great positive impact on the world of wireless connectivity that can be realized by the outcome of this research. As compared to current utilization of wireless spectrum, cognitive radio networks feature better utilization which leads to increased availability and reliability of wireless services. The flexibility and adaptability of software-defined radios make it a great candidate for the realization of cognitive networks. However, a number of challenges need to be addressed to make the deployment of this technology feasible. These challenges include cost and technical limitations of cognitive radio implementation, especially the implementation of unique features of cognitive radio such as spectrum sensing and frequency agility. I have accumulated knowledge through multidisciplinary research activities aimed at expanding software-defined radio capabilities and building reliable cognitive radio networks. My research approach is to apply this knowledge to state-of-the-art wireless communications methods.

Doctoral Research

My doctoral dissertation work contributes to providing a cognitive radio design solution for the first cognitive radio-based wireless area network based on IEEE standard 802.22. The implementation target is a combination of two different processing engines: the digital signal processors (DSP) and field programmable gate arrays (FPGA). These engines are combined and interconnected in a hybrid processing engine platform.