题 目：Optimizing Ultra-Dense Network (UDN) with Fiber-Wireless Communications

报告人：Jingxian Wu,Department of Electrical Engineering, University of Arkansas, USA

时 间：2018-12-7 周五 上午10:00

地 点：振声苑E208

Abstract: Ultra-dense network (UDN) represents a new paradigm of network architecture designed to meet the explosively growing demands of wireless traffics. UDN uses a large number of densely deployed remote access points (RAPs)to provide services to user equipment (UE). In UDN, the network architecture is shifted from traditional cell-centric to user-centric, where  each  UE  can  be  served  by  many  low  power  RAPs, with  the  density  of  RAPs  higher  than  that  of  UEs.  The RAPs are connected to a central unit (CU) through optical fiber links, which make up a large portion of the cost and energy consumption of the network due to the large number of RAPs deployed in the network. Network densification with aggressive spectrum reuse can significantly improve area spectral efficiency (ASE) of the network. On the other hand the energy efficiency (EE) of UDNs might be negatively affected due to strong mutual interference from the RAPs and the large energy consumption of the optical front-haul links. We study the joint optimum design of both the optical links and wireless links by considering the complete signal path across both the optical and wireless domains. Different optical transmission technologies, such as baseband-over-fiber, intermediate-frequency-over-fiber (IFoF), and radio-frequency-over-fiber (RFoF), are quantitatively compared under the context of UDN by considering a large number of practical system parameters. It is shown that RFoF is more suitable for the optical front haul of UDN.

Speaker’s Biography

Jingxian Wu received the B.S. degree in Electrical Engineering from Beijing University of Aeronautics and Astronautics, Beijing, China, in 1998, the M.S. degree in Electrical Engineering from Tsinghua University, Beijing, China, in 2001, and the Ph.D. degree in Electrical Engineering from the University of Missouri, Columbia, in 2005. He is currently an Associate Professor with the Department of Electrical Engineering, University of Arkansas. His research interests mainly focus on statistical signal processing, large scale data analytics, and wireless communications. He served as a symposium or track co-chairs for various international conferences, such as the 2009, 2015, and 2017 IEEE Global Telecommunications Conference, the 2012 and 2019 IEEE International Conference on Communication, the 2017, 2018 IEEE/CIC International Conference on Communications in China, and the 2017 Wireless Communication and Signal Processing Conference, etc. He is appointed as a distinguished lecture by the IEEE Vehicular Technology Society for 2018 and 2019. He is an Associate Editor of the IEEE ACCESS, and served as an Editor of the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS from 2011 to 2016, and an Associate Editor of the IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY from 2007 to 2011.