Workshop on Artificial Intelligence Aided Solutions for Complex Problems in

Source: Time: 2017-08-17

On August 17-19, 2017, "Workshop on Artificial Intelligence Aided Solutions for Complex Problems in Communications" was held at Wuhan National Laboratory for Optoelectronics (WNLO). Enhong Chen (Professor from University of Science and Technology of China), Shi Jin (Professor from Southeast University), Feifei Gao (Professor from Tsinghua University), Xiaohu Tang (Professor from Southwest Jiao Tong University), Xin Wang (Professor from Fudan University) as well as Associate Professor Kai Luo, Dr. Da Chen, Dr. Yuzhou Li, Dr. Yang Cao in our lab gave talks. Professor Enhong Chen introduced the analysis and application of big data and emphasized the importance of big data in the development of artificial intelligence. Professor Shi Jin introduced the basis of artificial intelligence and 5G wireless transmission, and indicated that artificial intelligence can be applied in 5G communication. Professor Feifei Gao introduced array signal processing and wireless communication in Massive MIMO and proposed a wireless communication method based on array signal processing. Professor Xiaohu Tang introduced the storage and computing vehicle network -- Mobile Edge network and proposed the feasibility of wireless communication based on storage. Professor Xin Wang proposed a low latency and efficient wireless resource allocation method based on statistical learning. Associate professor Kai Luo introduced the application of multicarrier in waveform design of radar communication. Dr. Da Chen introduced the tradeoff between the spectral characteristics of the multi carrier signal and the channel estimation performance. Dr. Yuzhou Li introduced the positioning and navigation of autonomous underwater vehicle. Dr. Yang Cao introduced cooperative video processing on the mobile edge for multimedia IOT applications.