Interference Alignment over MIMO Interference Channels with Limited Feedback


Abstract: This talk considers the problem of interference alignment (IA) over MIMO interference channels with limited channel state information (CSI) feedback based on quantization codebooks. Due to limited feedback and hence imperfect IA, there are residual interferences across different links and different data streams. As a result, the performance of IA is greatly related to the CSI accuracy (namely number of feedback bits) and the number of data streams (namely transmission mode). In order to improve the performance of IA, it makes sense to optimize the system parameters according to the channel conditions. Motivated by this, we first give a quantitative performance analysis for IA under limited feedback, and derive a closed-form expression for the average transmission rate in terms of feedback bits and transmission mode. By maximizing the average transmission rate, we obtain an adaptive feedback allocation scheme, as well as a dynamic mode selection scheme. Furthermore, through asymptotic analysis, we obtain several clear insights on the system performance, and provide some guidelines on the system design.

Dr. Xiaoming Chen obtained Ph. D. degree from the Department of Information Science and Electronic Engineering at Zhejiang University in 2007. Since then, he has been with the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics. Currently, he is a Humboldt Research Fellow in the Institute for Digital Communications, University of Erlangen-Nürnberg, Germany. His research fields includes interference management, physical layer security, and wireless power transfer. He has published more than 60 papers in various prestigious IEEE journals and refereed international conferences, and has filed 12 patents. He serves as an Editor of IEEE Communications Letters and an Associate Editor of IEEE Access. He is a senior member of IEEE.

Guest Lectuer: Dr. Chen XiaomingHumboldt Research Fellow, Institute for Digital Communications, University of Erlangen-Nürnberg, Germany

Date and Time:  9:00am-9:45am, Jan. 8, 2016   

Location: Room 108, Administration Building, Yuquan Campus

Audience: Faculty/Staff, Students

Category: Lecture

Sponsor: College of Information Science & Electronic Engineering, Zhejiang University


Admission: Free