Cognitive Serial Interface with Multi-band Signaling and Channel Learning Mechanism

Speaker: Yuan Du
Affiliation: Ph.D. Candidate - UCLA

With the data rate of peripheral serial I/O for PCs and mobile computing platforms continuing to scale to meet high-bandwidth applications, the conventional serial interfaces are more than more challenging to achieve high bandwidth(>10Gb/s per lane), high energy efficiency(<10pJ/bit) and low cost, especially on complicated channel conditions, such as multi-drop buses and low-cost connectors/cables. Conventional equalization solutions are very power-hungry and there is no universal solution capable of handling all different channel conditions. In the presentation, a multi-band signaling with channel response learning mechanism will be introduced and a cognitive serial interface system will be proposed. The cognitive multi-band scheme mitigates equalization requirement and enhances the energy efficiency by avoiding frequency notches and utilizing the maximum available signal-to-noise ratio and channel bandwidth.

Yuan Du received his B.S. degree (honor) in electrical engineering from Southeast University (SEU), Nanjing, China, in 2009, and M.S. degree in electrical engineering from University of California, Los Angeles (UCLA), in 2012. He is currently working toward his Ph.D. degree at UCLA. His research interests include designs of CMOS RFICs and mixed-signal ICs. Yuan Du was the recipient of the Microsoft Research Asia Young Fellowship (2008), Southeast University Chancellor’s Award (2009) and Broadcom Fellowship (2015).

For more information, contact Prof. M.-C. Frank Chang ()

Date(s) - Jun 06, 2016
10:30 am - 12:00 pm

E-IV Tesla Room #53-125
420 Westwood Plaza - 5th Flr., Los Angeles CA 90095