Chair: Chuan Zhang, National Mobile Communications Research Laboratory, Southeast University, China
Co-chair: Shan Cao, Shanghai Institution for Advanced Communication and Data Science, Shanghai University, China

Prof. Chuan Zhang -- is now an associate professor of National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, China. He received B.E. degree (summa cum laude) in microelectronics and M.E. degree in VLSI design from Nanjing University, Nanjing, China, in 2006 and 2009, respectively. He received both M.S.E.E. degree and Ph.D. degree in Department of Electrical and Computer Engineering, University of Minnesota, Twin Cities (UMN), USA, in 2012. His current research interests include low-power high-speed VLSI design for digital signal processing and digital communication, bio-chemical computation and neuromorphic engineering, and quantum communication. Dr. Zhang is a member of Seasonal School of Signal Processing (S3P) and Design and Implementation of Signal Processing Systems (DISPS) TC of the IEEE Signal Processing Society; Circuits and Systems for Communications (CASCOM) TC, VLSI Systems and Applications (VSA) TC, and Digital Signal Processing (DSP) TC of IEEE Circuits and Systems Society. He was also a (co-)recipient of Best Paper Award of IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) in 2016, Best (Student) Paper Award of IEEE International Conference on Digital Signal Processing (DSP) in 2016, (three) Excellent Paper Awards and Excellent Poster Presentation Award of International collaboration Symposium on Information Production and Systems (ISIPS) in 2016 and 2017, (two) Best (Student) Paper Awards of IEEE International Conference on ASIC (ASICON) in 2015 and 2017, the Best Paper Award Nomination of IEEE Special session on Signal Processing Systems (SiPS) in 2015, the Merit (Student) Paper Award of IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) in 2008, Three-Year University-Wide Graduate School Fellowship of UMN, Doctoral Dissertation Fellowship of UMN.

Prof. Shan Cao -- received the B.Eng. and Ph.D. degrees in microelectronics from Tsinghua University, Beijing, China, in 2009 and 2015, respectively. She is currently a faculty member of Shanghai Institution for Advanced Communication and Data Science, Shanghai University, China. Before she joined Shanghai University, she was a postdoctor in the School of Information and Electronics, Beijing Institute of Technology, Beijing, China. Her research interests include SoC design, embedded system design, array signal processing, and its applications.

The coming wireless communication is aiming for the connection of tens of billions of wireless devices with some reaching several gigabit-per-second data rates and millisecond-level latency. To achieve this aggressive target, baseband processing related to advanced coding/modulation, massive MIMO, novel air-interface, and software define radio is of great significance. However, the related research activities from the algorithm and Implementation perspectives are still in its infancy. Apparently, only with carefully optimized algorithms and efficient hardware implementations, can the aforementioned baseband processing completely fulfills the potential. With a focus on balancing both algorithms and practical implementations, the goal of this special session is to demonstrate the latest research progresses on algorithms and designs for efficiently realizing baseband processing of 5G wireless. The special session will bring together academic and industrial researchers to identify technical challenges and recent results related to this area. Original and unpublished research results with topics in any of the following areas or beyond are hereby solicited, include but not limited to the following topics:

1. Advanced channel coding algorithms and implementations for 5G;
2. Massive MIMO, particularly signal processing and hardware challenges;
3. Algorithms and hardware implementations related to non-orthogonal multiple-access schemes;
4. Algorithms and hardware implementations for 5G modulation: non-orthogonal modulation and demodulation, FMBC modulation and others;
5. Algorithms and hardware implementations related to AI-based baseband processing;
6. Hardware-software co-design for baseband communications;