题目：MIMO channel with low resolution quantization
报告人：Mo Jianhua博士（Senior engineer with Samsung Research America）
时间：2017年12月15日星期五下午2:00-2:45 地点：电信楼703
邀请人：电信学院信息与通信工程系王睿
Abstract:
The wide bandwidths and large antenna arrays in future communication systems impose big challenges for the hardware design of the receiver, which has to efficiently process multiple signals from antennas at a much faster pace. The Analog-to-digital converter (ADC) is one of the bottlenecks. High speed, high resolution (e.g., 8-12 bits) ADCs are either not available, or are too costly and power-hungry for portable devices. The use of few- and especially 1-bit ADCs radically changes both the theory and practice of communication. The nonlinear and coarse quantization makes the channel capacity analysis difficult and has adverse effects on the channel estimation, symbol detection, etc.
We analyzed the MIMO channel with low resolution quantization. We first derived upper bounds on quantized MIMO channel capacity. By assuming the channel is known at the transmitter, we found precoding methods approaching the upper bound. Second, we devised a channel estimation algorithm with low resolution ADCs. The sparsity of the millimeter wave channel is exploited in our algorithm. Third, by assuming the channel is perfectly estimated at the receiver, we designed new limited feedback methods in the quantized MIMO channel. At last, we proposed and analyzed an energy-efficient receiver architecture with hybrid precoding and low resolution ADCs.
Biography:
Jianhua Mo received the B.S. and M.S. degrees from Shanghai Jiao Tong University in 2010 and 2013, respectively, and the Ph.D. from the University of Texas at Austin in 2017, all in electrical engineering. He is now a senior engineer with Samsung Research America in Dallas, USA.
He was a co-recipient of Heinrich Hertz Award for best communications letter in 2013. He was recognized as an exemplary reviewer of the IEEE WIRELESS COMMUNICATIONS LETTERS in 2012 and the IEEE COMMUNICATIONS LETTERS in 2015. His areas of interest included physical layer security, MIMO communications with low-resolution ADCs. He is currently working on the mmWave wireless backhaul transmission.
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