Intelligent Communications and Computing Designs
Intelligent Communications and Computing Designs
Dr. Jiang (Linda) Xie
Dr. Jiang (Linda) Xie, Professor in the department of electrical and computer engineering received unrestricted research fund from Toyota Motor North America (TMNA) R&D – InfoTech Labs. She has been collaborating with TMNA since 2017 on researching intelligent communications and computing designs to support connected vehicles based on mobile edge computing. Next-generation vehicles may generate a massive amount of car-, road-, and traffic-related data daily in the order of gigabytes that need to be stored and processed at cloud data centers. On the other hand, mobile edge computing has been introduced to supplement cloud computing by deploying edge servers at the network edge so as to reduce the network delay and alleviate the load on cloud data centers. In addition, machine learning technologies are promising to meet the ever-increasing demands of artificial intelligence (AI)-enabled applications, such as augmented reality (AR) and high-definition (HD) map, in intelligent connected vehicles. Therefore, joint computing, caching, communications, and control with edge server collaborations is strongly needed in future intelligent transportation systems.
This research collaboration investigates various research issues supporting AI-enabled applications for connected vehicles with edge computing, including architectural design based on edge computing for connected vehicles, learning-assisted radio and computation resource management at edge servers, big data optimization and analysis, scalable data transfer and offloading to edge servers, seamless mobility support, energy-efficient mobile AR applications for connected vehicles, and real-time HD map update. This research collaboration will help generate innovative techniques for delivering intelligent automotive services based on edge computing technology, e.g., autonomous driving, cognitive assistance, HD maps, intelligent head-up-displays, and Internet of Vehicles. Sponsor is Toyota Motor North America R&D – InfoTech Labs and Collaborator is Dr. Zhu Han at University of Houston. Two research students are working on this project.