|Date||Friday, December 8|
|Room||Orchid Main Ballroom 4304|
|08:55 - 09:00 A.M.||Welcome & Introduction|
|09:00 - 09:30 A.M.||Keynote|
|09:30 - 10:30 A.M.||Paper Session #1|
|10:30 - 11:00 A.M.||Coffee Break|
|11:00 - 12:40 A.M.||Paper Session #2|
Mr. Way-Shing Lee
VP Technology, Qualcomm Technologies, Inc.
In the talk, Mr. Way-Shing Lee will debrief how 5G technology would shape the future of the automotive. By making vehicles connected with everything and transforming the in-vehicle experience, C-V2X would enhance the road safety, improve traffic efficiency as well as provide rich drive experience, and pave the road to autonomous driving. C-V2X ecosystem as well as where the industry stand and what QC’ contribution to the industry will also be introduced.
Way-Shing Lee serves as vice president of technology for Qualcomm Technologies, Inc. (QTI). He is currently responsible for technical/business development efforts on both modem and application and bringing leading technologies to partners in China.
Upon joining Qualcomm in 1994, Lee began a notable career in which led EVDO Rev.A commercialization with its first launch in Japan by KDDI. In his most recent accomplishment, he built the Qualcomm Reference Design team (QRD) in Shanghai which enabled the device ecosystem to accelerate the 3G/4G transition in China. His past contributions to CDMA/EVDO, WCDMA, Application processor in DSP, 3GPP2 and 3GPP has helped to broaden the scope and connected applicable technology to mass market utilization. His time spent with Chinese operators contributed to smooth and rapid transition from 3G to 4G in 2014 and further ongoing modem advanced technology migration.
Paper Session #1
- 09:30 am: Design on Publish/Subscribe Message Dissemination for Vehicular Networks with Mobile Edge Computing
- 09:50 am: A Cooperative Caching Algorithm for Cluster-Based Vehicular Content Networks with Vehicular Caches
- 10:10 am: Significance Analysis for Typical Objects in mmWave Urban Railway Propagation Environment
Paper Session #2
- 11:00 am: Low Latency Caching Placement Policy for Cloud-Based VANET with Both Vehicle Caches and RSU Caches
- 11:20 am: Air-to-ground Big-data-assisted Channel Modeling Based on Passive Sounding in LTE Networks
- 11:40 am: Comparison of Automatic Tracking and Clustering algorithms for Time-Variant Multipath Components
- 12:00 am: A Random Forest-based Prediction Method of Atmospheric Duct Interference in TD-LTE Networks
- 12:20 am: Parallel Channel over Wide Optical Spectrum: Mining and Matching-based Optimization