Tutorial #6 – Millimeter-wave Beam Management for 5G-NR and Beyond
Instructor: Danijela Cabric, UCLA, USA
Instructor: Han Yan, UCLA, USA
Abstract: Millimeter wave (mmWave) communications with massive antenna array is key technique for the future cellular systems. While large arrays enable high gain, directionality and user multiplexing, practical realizations face challenges in radio hardware design and cross layer processing. The tutorial starts with review of the emerging hybrid array architecture. The corresponding MIMO processing that heavily relies on analog beam steering is referred as beam management. The basic system model, approach, and performance of beam oriented MIMO is surveyed and compared with conventional MIMO that requires explicit channel estimation. Four procedures that are interleaved between physical layer and higher layer are the main components of such system, namely beam acquisition, tracking, association and handover. The second part of tutorial reviews the beam management in 5G NR, i.e., 3GPP release 15 and the upcoming release 16. We focus on changes in frame structure and procedure that facilitate beam management. The third part covers recent research for future mmWave cellular systems with emphasis in scalability with the increased array size, user number and cell density. We review signal processing techniques for beam management that exploits sparsity, approaches using low resolution fully digital array, and recent advances in QoS aware cell/beam association and handover.
Bio: Danijela Cabric is Professor in Electrical and Computer Engineering at University of California, Los Angeles. She earned the MS degree in Electrical Engineering in 2001 from UCLA and the Ph.D. degree in Electrical Engineering in 2007 from UC Berkeley. Dr. Cabric received the Samueli Fellowship in 2008, the Okawa Foundation Research Grant in 2009, the Hellman Fellowship in 2012 and the National Science Foundation Faculty Early Career Development (CAREER) Award in 2012. She is currently an Associate Editor of IEEE Transactions of Cognitive Communications and Networking and IEEE Transactions on Wireless Communications. Her research interests include novel radio architecture, signal processing, and networking techniques for cognitive radio, 5G and massive MIMO systems. She is Senior Member of IEEE and IEEE ComSoc Distinguished Lecturer.
Bio: Han Yan is a senior Ph.D. candidate in Electrical and Computer Engineering at University of California, Los Angeles (UCLA). He received the B. Eng. degree from Zhejiang University, Hangzhou, P. R. China in 2013, and the M.S. degree in Electrical Engineering from UCLA in 2015. His research interests includes signal processing for millimeter-wave communications, cognitive radio, and coordinated UAV wireless communications. Mr. Yan is the recipient of UCLA Dissertation Year Fellowship in 2018, and Qualcomm Innovation Fellowship Finalist in 2019.