Abstract:

Radio spectrum is one of the most precious natural resources for wireless mobile communications. Everyone’s life in modern society (i.e., the life of billions of people) benefits from the usage of radio devices.  The demand for radio spectrum continues to increase rapidly especially in regions of large populations. The increasing speed of computing devices, the enormous capacity of memories and the robust Internet are driving many mobile applications, such as cloud computing, that keep the radio channels heavily loaded. Many efforts to improve the efficiency of radio spectral usage face the challenge of radio interference cancellation. In this talk, I will discuss some important issues on radio self-interference cancellation, which is the enabler of full-duplex radio networks. Among the potential solutions are a new architecture of all-analog cancellation channel and a blind digital tuning strategy.

Bio:

Yingbo Hua is a Professor at the University of California, Riverside, where he joined in 2001. During 1990-2000, he held a faculty position at the University of Melbourne, Australia, where he was promoted to the rank of Reader from 1996. He received a Ph.D. degree from Syracuse University in 1988, and a B.S. degree from Southeast University in Feb 1982. He has advised over 50 Ph.D. students, postdocs, visiting scholars and master-by-thesis students. Some of them are now professors in Australia, Southeast Asia, Europe, USA and China, and many others are with companies including Qualcomm, Broadcom, IBM, AT&T, GE, Apple, VIA, Finisar, etc. He is a Fellow of IEEE from 2002 and AAAS from 2011.