Recently, scientists from the South University of Science and Technology (SUSTech) received the 2021 Best Paper Award in the field of Signal Processing and Computing for Communication from the IEEE Communications Society.

Shuai WANG, Research Assistant Professor from the Department of Electrical and Electronic Engineering (EEE), Rui WANG, Associate Professor from EEE, and Qi HAO, Associate Professor from the Department of Computer Science and Engineering (CSE), conducted this research.

According to IEEE, their research paper, entitled “Learning Centric Power Allocation For Edge Intelligence,” proposed a resource optimization method in edge intelligence systems with learning performance as the objective function. It provides a paradigm for the integration of signal processing, wireless communication, and artificial intelligence technology.

Before this, their work also won the Best Paper Award at the 2020 IEEE International Telecommunications Conference.

The research team applied the results to areas such as automated driving, robotics, 5G/6G communications, the internet of things (IoT), and green communications. For example, automated driving requires environmental awareness, intelligent decision-making, and underlying control functions driven by big data and artificial intelligence.

As a result, hundreds of artificial intelligence data sets need to be collected by the vehicle and then uploaded to the cloud platform, which leads to a huge cost of collecting and uploading automated driving data sets, while the data volume requirements vary for different data sets.

Applying the team’s research results makes it possible to match the most suitable resources for different data sets, significantly reducing the cost of automated driving data collection and transmission, improving the accuracy and efficiency of decision-making, and the robustness of its controls.

The research was conducted jointly by SUSTech, the University of Hong Kong (HKU), and Princeton University. Shuai WANG is the first author of this research. Rui WANG, Qi HAO, Yicong HU, Associate Professor from the Department of Electrical and Electronic Engineering at HKU, and H. Vincent Poor, Professor from the Department of Electrical and Computer Engineering at Princeton University, are the co-authors.

SUSTech is the first affiliations unit of this research. It was funded by the National Natural Science Foundation of China (NSFC), the Shenzhen Basic Research General Project Fund, the Guangdong Provincial Natural Science Foundation, and the National Science Foundation of the United States (NSF).