Over the years, Broadband Communications Research (BBCR) Lab members have worked diligently to pursue excellence in research, and have made important research contributions for advancing telecommunication technologies. As a result, our faculty members, postdoctoral fellows, graduate students, visiting scholars and students, and other research associates have received many prestigious international and domestic recognition and awards.
We would like to thank our industrial sponsors for their partnership and financial support, including Bell Canada, General Motors, BlackBerry, Industry Canada, Ericsson Canada, and Siradel.
Browse our website to read about the cutting-edge research activities we are working on, latest research papers we have published, and the bright minds that work diligently day and night for the success of the BBCR Lab and the betterment of the global community!
Blog
Our paper received 2026 IEEE Vehicular Technology Society OJVT Best Paper Award
Our work titled “Joint RAN Slicing and Computation Offloading for Autonomous Vehicular Networks: A Learning-Assisted Hierarchical Approach” by Qiang Ye, Weisen Shi, Kaige Qu, Hongli He, Weihua Zhuang, and Xuemin (Sherman) Shen, published in the IEEE Open Journal of Vehicular Technology in June 2021, received the 2026 IEEE Vehicular Technology Society OJVT Best Paper Award.
The IEEE Vehicular Technology Society OJVT Best Paper Award is to recognize the best paper published in the IEEE Open Journal of Vehicular Technology over the past 5 years.
Congratulations to all!
Xue Qin and Lingshuang Liu successfully defended the Ph.D. thesis
Xue Qin and Lingshuang Liu successfully defended their Ph.D. thesis on July 28 and July 31, 2026, respectively. Congratulations to both of them!
Prof. Mushu Li visited the BBCR group at UWaterloo and delivered a research talk
Prof. Mushu Li from Lehigh University, USA, visited the BBCR Group at the University of Waterloo on June 2, 2026. During the visit, Prof. Li delivered an inspiring research talk titled “From Sensing to Understanding: World Models for Semantic-Aware Collaborative Perception.”