The University of Michigan – Shanghai Jiao Tong University Joint Institute (UM-SJTU JI, JI hereafter) research team under the Wireless Networking and Artificial Intelligence Lab has won the Best Paper Award at the 2021 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC 2021). The paper co-authored by JI Assistant Research Professor Aimin Tang, Master degree graduate Yao Liu, and Professor Xudong Wang was the only winner of the award out of the 260 accepted papers of the conference.

Titled “Exploiting Joint-Cache-Channel Coding for Decentralized Coded Caching With Heterogeneous Link Rates and Cache Sizes”, the awarded paper based on a research  project funded by the National Natural Science Foundation of China (NSFC) Young Scientist Program features a joint-cache-channel coding scheme that can address the problem of heterogeneous cache sizes and link rates when applying coded-caching in wireless networks. A closed-form information-theoretic result is derived to reveal the lower bound of transmission time when exploiting joint-cache-channel coding for decentralized coded caching under the scenario of heterogeneous cache sizes and link rates.

IEEE is the world’s largest technical professional organization. The annual IEEE PIMRC co-organized with 6G Flagship this year is one of the two major conferences of the IEEE Communications Society (ComSoc) in the field of wireless communications and networking attracting the technical community from all regions and continents.  JI’s Wireless Networking and Artificial Intelliegnce Lab established in 2010 serves to conduct original research in wireless networks and artificial intelligence with an emphasis on research contributions and impact.

Personal Profile

JI Research Assistant Professor Aimin Tang received his Ph.D. degree with an award of outstanding Ph.D. dissertation from SJTU in 2018. His current research interests include B5G/6G networks, joint communication and sensing, and coded caching.

JI graduate Yao Liu received the M.S. degree in information and communication engineering from Wireless Networking and Artificial Intelligence Lab in 2021. His research interests include user provided network, coded caching, and integrated access and backhaul networks.

JI John Wu and Jane Sun Chair Professor of engineering Xudong Wang is the director of the Wireless Networking and Artificial Intelligence Lab. He is also an IEEE Fellow, an Affiliate Professor with the Department of Electrical and Computer Engineering of the University of Washington. His research interests include wireless communication networks, distributed machine learning, and joint communications and sensing.