| Lecturer Profile |
Rose Qingyang Hu is an Associate Professor of Electrical and Computer Engineering Department at Utah State University. Her current research interests include next-generation wireless communications, wireless system design and optimization, green radios, Internet of Things, Cloud and fog computing, multimedia QoS/QoE, communication and information security, wireless system modeling and performance analysis. Prof. Hu will serve or has served as the TPC Co-Chair for IEEE ICC 2018 and ICNC 2014, TPC Vice-Chair for IEEE GreenCom 2013, Student Travel Grant Chair for IEEE Globecom 2019, Symposium Co-Chairs for IEEE ICC 2012/2014/2015, IEEE WCNC 2013, ICNC 2013, and IEEE SmartGridComm 2012. Prof. Hu is an IEEE Communications Society Distinguished Lecturer Class 2015-2016 and the recipient of Best Paper Awards from IEEE Globecom 2012, IEEE ICC 2015, IEEE VTC Spring 2016, and IEEE ICC 2016. 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 Communications Surveys & Tutorials, IEEE Internet of Things. |
| Lecture Abstract |
Device-to-Device (D2D) communication, MU-MIMO and mmWave are among the key technologies in the next generation (5G) cellular network 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 three schemes based on these technologies and their related performance study in 5G/IoT settings. These three schemes include a distance based power control scheme for D2D communication underlay cellular network, beamforming and NOMA based MU-MIMO in a downlink cellular network with underlay D2D users, and relay-assisted Millimeter Wave cellular networks. 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. |
