应哈工大电信学院孟维晓教授邀请，在哈工大国际合作处的资助下， IEEE Fellow 和AAAS Fellow，美国加州大学河滨分校Yingbo Hua教授将于2017年11月19日—2017年11月21日来哈尔滨工业大学访问讲学。
讲学题目：Secure Wireless Communications with Full-Duplex Radio
讲学时间：2017年11月20日9:00-11:00
讲学地点：哈工大科学园2A栋1011室
讲座人：Yingbo Hua
Abstract:
Billions of people around the world are interconnected via wireless devices for our daily lives and business transactions. Privacy and security have become a top concern as wireless networks are prone to eavesdroppers due to shared physical medium. The physical layer security on top of cryptography is essential to mitigate this concern. The technology of full-duplex radio that is able to transmit and receive at the same time and same frequency is uniquely equiped to ensure a high level of information security. A full-duplex radio is able to jam (although briefly as necessary) all potential eavesdroppers as it receives a secret key from another radio. In this talk, I will present some of the latest developments in understanding the limits and potentials of full-duplex radio in secure wireless communications. In particular, I will highlight a number of fundemantal properties of full-duplex radio for secure wireless communications without the knowledge of channel state information of eavesdroppers. Both cases of colluding and non-colluding eavesdroppers are considered.
Biography:
Yingbo Hua is a senior full professor with the University of California, Riverside, where he joined in 2001. Prior to that, he held a faculty position with the University of Melbourne, Australia, from 1990 to 2000. He received his Ph.D. degree from Syracuse Unversity in 1988. Professor Hua has published hundreds of articles in the fields of signal processing, wireless communications and sensor networks, including a dozen on full-duplex radio technology. He was elected to IEEE Fellow in 2001 and AAAS Fellow in 2011. He is currently a Senior Area Editor for IEEE Transactions on Signal Processing, a Steering Committee Member for IEEE Wireless Communications Letters, and an Associate Editor for IEEE Transactions on Signal and Information Processing over Networks.
