讲座时间：2024年11月29日13：00
讲座地点：信息技术科研楼 A610-A 会议室
Short Packet Transmission for URLLC: Revisiting Differential Modulation
主讲人：郑福春 教授
哈尔滨工业大学（深圳）
讲座摘要：
Ultra-reliable and low-latency communications (URLLC) are essential for 5G/6G networks, aiming for 0.1 ms latency and 99.9999% reliability in mission-critical applications. Short packet open-loop transmission reduces latency but risks system reliability and channel estimation accuracy due to shorter coding lengths and pilot sequences. This talk will first review the latency budget in a URLLC system and then re-visit the differential modulation (DM) scheme and apply it to short packet transmission. The 3 dB SNR loss for DM is compensated for by macro diversity. Given the dominance of OFDM in wireless systems, DM is realised in the frequency domain. Performance is analyzed from the information theory perspective and verified through simulations, showing benefits under high mobility.
主讲人简介：
Dr. Zheng is a distinguished professor at Harbin Institute of Technology (Shenzhen), China, and has been an adjunct professor at Southeast University, China. He received his BEng and MEng degrees in radio engineering from Harbin Institute of Technology and his PhD in Electrical Engineering from the University of Edinburgh, UK. From 1995 to 2007, Dr. Zheng was a lecturer and associate professor in mobile communications at Victoria University, Melbourne, and in 2007, he became Chair of Signal Processing at the University of Reading, UK. Dr. Zheng has been an editor or guest editor for several international journals such as IEEE Transactions on Wireless Communications, IEEE Communications Magazine, and Science China – Information Sciences. He was the general chair of IEEE VTC 2006-S in Melbourne, the first VTC in the southern hemisphere, and the executive TPC chair for IEEE VTC 2016-S in Nanjing, the first VTC in mainland China. More recently, he served as the lead TPC Chair of IEEE VTC 2022-Fall (London and Beijing). Dr. Zheng’s current research interests include ultra-reliable and low latency communications (URLLC), green communications, ultra-dense networks and machine learning based resource allocation.
