报告题目：Key technologies of the Non-orthogonal Multiple-Access for 5G
报 告 人：戴晓明 教授，博士生导师，北京科技大学
IMT-2020 (5G)推进组 非正交传输组 副组长
图样分割多址接入(Pattern Division Multiple Access, PDMA)技术提出者
The rapid increase of mobile data usage and the wide proliferation of smartphones and tablets are driving the wireless communications industry to undergo an unprecedented paradigm shift. Massive growth in traffic volume and connected devices, extremely low latency and response times are some of the key requirements envisaged by 5G. Among the potential solutions, such as the novel cellular network architecture, large-scale multiple antenna systems, spectrum utilizations at untapped mm-wave frequency bands, and new waveform and multiple access technologies, the non-orthogonal multiple-access scheme (NOMA) is fulfilling these goals in the most cost-effective manner. In this talk, I will discuss some key enabling techniques of the NOMA for 5G. A novel successive interference amenable multiple-access (SAMA) scheme will be introduced in this talk and some recent research work on low-complexity multi-user detection methods will be presented. Results from our ongoing efforts in the NOMA will be briefly discussed, along with an outlook for emerging applications.
Xiaoming Dai is a Professor of Electrical and Computer Engineering at University of Science and Technology Beijing. He received the B.S. degree in electrical engineering and automation from the Central South University of Technology, Changsha, China, in 1994 and the M.S. and Ph.D. degrees (with honors) in electrical engineering and automation from Shanghai Jiaotong University, Shanghai, China, in 1999 and 2002, respectively.
From 2002 to 2005, he was a Senior Algorithm Engineer with STMicroelectronics R&D Com. Ltd., Beijing, China. His work at STMicroelectronics led to significantly improved designs on the downlink/uplink pilot codes, scrambling codes, and training sequences for the TD-SCDMA system. From 2005 to 2008, he was a Researcher (Tier II) with NTT DoCoMo Communications Research Company, Beijing, where his work on cell search has been in the Third-Generation Partnership Project Long-Term Evolution (3GPP LTE) system. From 2008 to 2015, he was with the China Academy of Telecommunication Technology, Beijing. His research interests include modulation and coding, space–time coding, signal processing, and code designs. His research activity has led to 30+ publications in leading international journals and conference proceedings and to fruitful industrial applications. His work on pattern division multiple-access (PDMA) has been cited in the “Future Technology Trends of Terrestrial IMT Systems” published by International Telecommunication Union (ITU) as one of the main potential technologies for 5G.