Wideband Beamforming for Next-Generation Wireless Communication Systems
Wei Liu, University of Sheffield
Abstract: The millimeter wave band holds the key to the future deployment of next generation (5-G) wireless communication systems. Due to significant rain and atmospheric attenuation experienced by millimeter waves, multi-antenna systems equipped with advanced antenna array signal processing techniques such as beamforming have to be employed to provide the required spatial coverage and focus. Although beamforming has been studied extensively in the past in the community, almost all of the efforts have been focused on narrowband beamforming, which will not be as effective in future 5-G systems. As a result, we have to move to the so-called wideband (or broadband) beamforming framework. This tutorial will provide a timely review of both the principles and the most recent developments in the area of wideband beamforming to the circuits and systems community so that this technique can be fully exploited in its application to future millimeter wave based wireless communication systems. The topics covered include the difference between narrowband beamforming and wideband beamforming and their different approaches, fixed wideband beamformer design (in particular frequency invariant beamformers), adaptive wideband beamforming, and other issues in wideband beamforming such as robust design against various model errors and antenna location optimization for improved performance.
He received his B.Sc. in Space Physics in 1996, L.L.B. in Intellectual Property Law in 1997, both from Peking University, China, M.Phil. from the Department of Electrical and Electronic Engineering, University of Hong Kong, in 2001, and Ph.D. in 2003 from the School of Electronics and Computer Science, University of Southampton, UK. He then worked as a postdoc in the same group and later in the Communications and Signal Processing Group, Department of Electrical and Electronic Engineering, Imperial College London. In September 2005, he joined the University of Sheffield, UK, as a Lecturer and now he is a Senior Lecturer. His research interests are mainly in sensor array signal processing, blind signal processing, multirate signal processing and their various applications such as wireless communications, sonar, radar, satellite navigation, and speech enhancement, etc.
He has published one research monograph, three book chapters, 104 journal papers and 135 conference papers. In particular, his research monograph titled “Wideband Beamforming: Concepts and Techniques”, published by John Wiley & Sons in 2010, is the very first book focused on wideband beamforming and more than 600 hard copies have been sold. The tutorial will be mainly based on this monograph and some of his more recent publications about wideband array signal processing.
He is a senior member of IEEE, an Associate Editor for two journals “IEEE Transactions on Signal Processing”, and “IEEE Access”, an editorial board member for the journal “Frontiers of Information Technology & Electronic Engineering”, an elected member of the Digital Signal Processing Technical Committee (DSPTC) of the IEEE Circuits and Systems Society and the Sensor Array and Multichannel Technical Committee (SAMTC) of the IEEE Signal Processing Society, and a fellow of the Higher Education Academy of the UK. He received the “Best Paper Award” for the paper “Improving SSVEP-BCI Performance Using Pre-Trial Normalization Methods” at the IEEE International Conference on Cognitive Infocommunications (CogInfoCom) in 2017, the “Best Paper Award” for the paper “Reduced Complexity MIMO Receiver with Real-Valued Beamforming”, at the 15th IEEE International Conference on Computer and Information Technology in 2015, and the “Excellent Paper Award” for the paper “Robust DOA Estimation for a MIMO Array Using Two Calibrated Transmit Sensors”, at the IET International Radar Conference in 2013.
He is a General Co-Chair for the 2018 IEEE Sensor Array and Multi-Channel Signal Processing Workshop, which will be held at the University of Sheffield in July 2018.