Deep neural network-aided Gaussian message passing detection for ultra-reliable low-latency communications

• Main Authors: Guo, Jie, Song, Bin, Chi, Yuhao, Jayasinghe, Lahiru, Yuen, Chau, Guan, Yong Liang, Du, Xiaojiang, Guizani, Mohsen
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Electrical and electronic engineering; Ultra-reliable Low-latency Communications; Deep Neural Network
• Online Access: https://hdl.handle.net/10356/151659
• Institution: Nanyang Technological University

Ultra-reliable low-latency communications (URLLC) is a key technology in 5G supporting real-time multimedia services, which requires a low-cost signal recovery technology in the physical layer. A kind of well-known low-complexity signal detection is message passing algorithm (MPA) based on factor gr...