IEEE Remote Teleconferencing Signal Processing Lecture Series
((Held in Nashua Public Library – July 25th 2019 5:30 – 7:00 pm EST)
Fee: FREE – Bertucci’s Pizza will be Served – Social Networking before & after Lecture
Topic: Key Wireless Access Technologies for Spectral and Energy Efficiency in 5G and IoT Systems
Lecturer: Professor Rose Qingyang Hu
Bio: Prof. Rose Qingyang Hu is a full Professor of Electrical and Computer Engineering Department and Associate Dean for Research of College of Engineering at Utah State University. She received her B.S. degree from University of Science and Technology of China, her M.S. degree from New York University, and her Ph.D. degree from the University of Kansas. Besides 10 years’ academia research experience, Prof. Rose Qingyang Hu also has more than 10 years R&D experience with Nortel, Blackberry and Intel as technical manager, senior research scientist, and senior wireless system architect, actively participating in industrial 3G/4G technology development, standardization, system level simulation and performance evaluation. Her current research interests include next-generation wireless communications, wireless network design and optimization, Internet of Things, Cloud computing/Fog computing, Mobile Edge Computing, multimedia QoS/QoE, wireless system modeling and performance analysis. She has published over 220 papers in top IEEE journals and conferences and holds over 30 patents in her research areas. Prof. Hu is an IEEE Communications Society Distinguished Lecturer 2015-2018 and recipient of Best Paper Awards from IEEE Globecom 2012, IEEE ICC 2015, IEEE VTC Spring 2016, and IEEE ICC 2016. She served as TPC Co-Chair for IEEE ICC 2018. She is currently serving on the editorial boards for IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Communications Magazine, IEEE Wireless Communications Magazine, IEEE Internet of Things Journal. Prof. Hu is a senior member of IEEE and a member of Phi Kappa Phi Society.
Lecture Description: Device-to-Device (D2D) communication, NOMA, MU-MIMO, mobile edge computing are among the key technologies in the next generation (5G) cellular networks to support Internet of Things as they can significantly improve the system performance on connectivity, spectrum efficiency and energy efficiency. In this talk, we will address how to exploit these technology advantages and tackle the key technical challenges to achieve high system performance gains. In particular, we will present D2D, MU-MIMO, NOMA and Mobile Edge Computing based schemes and their related performance study in 5G/IoT settings. These schemes include beamforming and NOMA based MU-MIMO in a downlink cellular network with underlay D2D users, power control in D2D under-laid cellular networks, and Mobile Edge Computing. The talk will present detailed 5G system model, technology background, mathematical approaches and performance results based on both analysis and simulations. Key technical insights from these studies will be provided.