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Practicable Physical-Layer Network Coding
Date: 2016/3/25             Browse: 284

Practicable Physical-Layer Network Coding

Speaker: Shengli Zhang

Time: Mar 25, 10:20am - 11:00am.

Location: Room 306, Teaching Center


In this talk, we investigate an under-studied typical channel, known interference channel, where the original data of the interference is known a priori but the channel it undergone is unknown. Known interference channel can be found in many scenarios directly or indirectly, but it is not fully studied and understood. In theory, people usually assume perfect channel estimation for cancellation, which is too optimistic to be true. In practice, peoples estimate the interference channel gain and subtract the interference, which performs too poorly to be applied. In this talk, we first propose a novel scheme, Blind Known Interference Cancellation (BKIC), to cancel known interference without knowing interference channel information. Our BKIC can achieve the MAP-optimal performance and is much better than the traditional scheme. In particular, the achievable rate of BKIC is derived, which can approach the capacity of the known interference channel in high SNR region. On the other hand, the achievable rate of the traditional scheme is far from the channel capacity.


Zhang Shengli received his B. Eng. degree in electronic engineering and the M. Eng. degree in communication and information engineering from the University of Science and Technology of China (USTC), Hefei, China, in 2002 and 2005, respectively. He received his Ph.D in the Department of Information Engineering, the Chinese University University of Hong Kong (CUHK), in 2008. After that, he joined the Communication Engineering Department, Shenzhen University. Now, he holds an associate professor there. From 2014 to 2015, he was a visiting associate professor at Stanford University. His research interests include physical layer network coding, known interference cancellation, and cooperative wireless networks.


SIST-Seminar 16018