Tutorial for 5GWN 2017
I. Tutorial Title
Signal Processing for Full-Duplex Wireless Communications: Its Challenges, Practical Solutions and Future Research Directions
The family of conventional half-duplex (HD) wireless systems relied on transmitting and receiving in different time-slots or frequency sub-bands. Hence the wireless research community aspires to conceive full-duplex (FD) operation for supporting concurrent transmission and reception in a single time/frequency channel, which would improve the attainable spectral efficiency by a factor of two. The main challenge encountered in implementing an FD wireless device is the large power difference between the self-interference (SI) imposed by the device's own transmissions and the signal of interest received from a remote source. In this tutorial, we present a comprehensive list of the potential FD techniques and highlight their pros and cons. We classify the SI cancellation techniques into three categories, namely passive suppression, analog cancellation and digital cancellation, with the advantages and disadvantages of each technique compared. Specifically, we analyze the main impairments (e.g. phase noise, power amplifier nonlinearity as well as in-phase and quadrature-phase (I/Q) imbalance, etc.) that degrading the SI cancellation. We then discuss the FD based Media Access Control (MAC)-layer protocol design for the sake of addressing some of the critical issues, such as the problem of hidden terminals, the resultant end-to-end delay and the high packet loss ratio (PLR) due to network congestion. After elaborating on a variety of physical/MAC-layer techniques, we discuss potential solutions conceived for meeting the challenges imposed by the aforementioned techniques. Furthermore, we also discuss a range of critical issues related to the implementation, performance enhancement and optimization of FD systems, including important topics such as hybrid FD/HD scheme, optimal relay selection and optimal power allocation, etc. Finally, a variety of new directions and open problems associated with FD technology are pointed out.
Dr. Zhongshan Zhang received the B.E. and M.S. degrees in computer science from the Beijing University of Posts and Telecommunications (BUPT) in 1998 and 2001, respectively, and received Ph.D. degree in electrical engineering in 2004 from BUPT. From Aug. 2004 he joined DoCoMo Beijing Laboratories as an associate researcher, and was promoted to be a researcher in Dec. 2005. From Feb. 2006, he joined University of Alberta, Edmonton, AB, Canada, as a postdoctoral fellow. From Apr. 2009, he joined the Department of Research and Innovation (R&I), Alcatel-Lucent, Shanghai, as a Research Scientist. From Aug. 2010 to Jul. 2011, he worked in NEC China Laboratories, as a Senior Researcher. He served or is serving as a Guest Editor and/or an editor for several technical journals, such as the IEEE COMMUNICATIONS MAGAZINE and KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS. He is currently a professor of the School of Computer and Communication Engineering in the University of Science and Technology Beijing (USTB). His main research interests include full-duplex communications, Massive MIMO, self-organized networking and cooperative communications.
III. Tutorial Title
Terrestrial-Satellite Networks: Transceivers Design, Resource Allocation and Practical Solutions
5G networks are expected to support extremely high data rates and radically new applications, as well as extensively wide coverage. Although the terrestrial cellular networks have dominated the mobile users from 3G to 4G, the gap between the demand and supply is becoming more and more prominent. Satellite communication networks are emerging in recent years, represented by OneWeb and O3b, which are able to provide super wide coverage and high capacity. Therefore, the integrated Terrestrial-Satellite Network (TSN) is a quite promising solution for future 5G networks. In this tutorial, we deliver a range of technical issues in TSN, from physical layer transceivers design to the MAC layer resource allocation, as well as introducing the practical solutions featured by the Chinese Lingqiao low-earth-orbit communication satellite. For the transmitter design, we discuss the prospective application of satellite beamforming in terrestrial-satellite networks, such as multi-beam joint processing, multi-group precoding and cooperative beamforming in terrestrial-satellite networks; while for the receiver design, we present an expectation propagation based message passing algorithm for decoding multi-user data in the reverse link of multi-beam satellite communications. Later, we discuss the spectrum resource sharing problem between the terrestrial and satellite systems with the highlight of analyzing the exclusive area and blind zones of the geosynchronous satellite systems. Meanwhile, we introduce a cloud based resource allocation architecture, in which a cloud central unit is set for centralized resource management. Finally, a variety of practical implementation issues for the Lingqiao satellite system is presented.
Dr. Linling Kuang received the B.S. and M.S. degrees from the National University of Defense Technology, Changsha, China, in 1995 and 1998, respectively, and the Ph.D. degree in electronic engineering from Tsinghua University, Beijing, China, in 2004. Since 2007, she has been with Tsinghua University, where she is currently a Professor and the head of Satellite Communications Group, Tsinghua Space Center. She was the Chief Designer of LingQiao (Smart) Communication Satellite, which is the first LEO communication satellite in China. Her research interests include wireless broadband communications, signal processing, and satellite communication. Dr. Kuang is a member of the IEEE Communications Society.
III. Tutorial Title
Software Defined Wireless Networks
Yan Zhang, Department of Informatics, University of Oslo, Norway