Our research results will enable faster and more reliable wireless networks, which are playing an increasingly more important roles in education, business, and everyday lives. Better wireless networks will play a key part in enabling novel and important applications, such as automatic driving, remote medical procedure, Internet of Things, etc., and our research will help making such applications possible.
In this project, many opportunities have been given to graduate and undergraduate students to learn and practice in various aspects of wireless networking, including algorithm design, implementation, and experimental evaluation, which have helped training them to enter the work force either as engineers or teachers. We have also uploaded the data collected in this project, which are CSI traces encountered in the experiments. The data can be freely accessed and can help students and researchers with their work.
The research findings offer novel and highly effective solutions to important problems in wireless communications, and will lead to higher performance in wireless networks, therefore benefit the society that are increasingly depending on wireless network access. The research group has been mainly working on algorithms that can lead to better Channel State Information (CSI) estimation and compression. These algorithms enable more accurate and timely CSI updates, which will in turn improve the performance of wireless networks, especially for networks with large size MIMO, because MIMO systems depends on the CSI to optimize system transmission parameters, such as the beam characteristics.
The PI always tries to ignite interest in research whenever he is teaching an undergraduate class. For example, in Fall 2018, he taught CDA3100, Computer Organization, which covers assembly language programming, finite state machine, and processor design. In the classes, when he was teaching subjects such as finite state machine, he often referred to the Wi-Fi Medium Access Control protocol and the interesting research problems he has encountered. He always announces to the class that he will be very happy to work with the students and get them involved in his research. He has successfully recruited undergraduate students in this manner, namely Alex Garvin and Santiago Sanchez, and he will continue this effort.
The PI has volunteered himself in activities such as free consultation for student entrepreneurs on wireless communication and signal processing technologies. Also, over the years, he has established good working relationships with colleagues in Florida A&M University (FAMU), a historically black university, such as serving as thesis committee members for their graduate students. The PI constantly seeks to work with students from underrepresented and minority groups. For example, while he was teaching CDA3100 Computer Organization in Fall 2018 and CNT5505 Data Communications in Spring 2019, during the classes, he often reached out to students and asked them to join his research group. He has usually been successful in recruiting students, and has worked with one Hispanic student, Santiago Enrique Sanchez, who published a research paper with him together.
The PI has maintains the most recent documentation of his research on this website, including non-technical descriptions of research projects, data sets, and links to papers. He has also contacted Research Outreach, a company that helps researchers with disseminating their research, including publishing articles about their research and push contents to social networks.
The research in this project has been integrated in the curriculum on an ongoing basis. For example, the CSI measurements have been shown in the CNT5505, Data and Computer Communications, a graduate level class the PI taught in Spring 2019. The CSI plots collected in the real-world were very helpful in explaining concepts about OFDM, non-flat fading, and wireless signal propagation.
The PI has been working with a number of graduate students, including Avishek Mukherjee, Jarvis Altrin Jawahar, and Yaoguang Zhong. He meets the students 3 times a week on Monday, Wednesday, and Friday. Avishek Mukherjee graduated with a PhD degree in August 2018, and is now a tenure-track Assistant Professor in Saginow Valley University. Jarvis Altrin Jawahar graduated with a master degree in December 2018. Yaoguang Zhong is a new PhD student and is still under training.