Topic: An Eigen-based Approach for Enhancing Matrix Inversion Approximation in Massive MIMO Systems

Speaker: 李光啟教授 Prof. Kelvin Kuang-Chi Lee (淡江電機系 Dept. of ECE, TKU)

Date: 2018/05/04 (Fri)

Time: 14:40

Abstract:
Zero-forcing (ZF) precoding is known to achieve near-optimal performance at high SNR in a massive MIMO system. While ZF precoding can be implemented by exact matrix inversion, this scheme is often prohibited due to stability and complexity issues. Hence a few matrix inverse approximation (MIA) methods were introduced to address these concerns.

An eigen-based algorithm was proposed to enhance MIA accuracy for uncorrelated Rayleigh fading channel by estimating asymptotic eigenvalues of a Wishart matrix following the random matrix theory.

In this talk, eigen-based MIA concept is extended to the one-sided Kronecker model, (i.e., Rayleigh fading channel with transmit antenna correlation). Asymptotic eigenvalue probability density function of the non-commutative Kronecker channel is constructed from free probability theory and applied in eigen-based MIA.

Bio:
B.S./ Fu-Jen Univ. Physics Dept. (1984 ~ 1988)

M.S./ USC EE Dept. (1990 ~ 1991)

ASIC Design Engineer (1992 ~ 2002)
• Western Digital Corp.
• VLSI Technology, Inc.
• Broadcom Corp.

Ph.D./ UCLA EE Dept. (2003 ~ 2010)
• Wireless Comm., MIMO, Low-power SoC

Principal Scientist / Broadcom-Taiwan (2010 ~ 2014)
• WLAN system R&D

Assistant Professor / TKU ECE Dept. (2014 ~ present)
• Massive MIMO, FBMC, Tx-Beamforming, RF mitigation