Research Focus

Nonlinear MIMO Signal Processing: Large-scale MIMO and millimeter-wave/terahertz high-frequency bands are the most crucial physical layer link technologies for enhancing next-generation communication systems. However, the increase in the number of antennas and the shift to higher frequency bands will lead to a sharp rise in the total power consumption and cost of the transceiver radio-frequency circuits. Our research group explores the design of nonlinear MIMO using amplitude/phase detectors, low-precision radio-frequency components, and other techniques to address these issues. Due to the introduction of nonlinear distortion, traditional MIMO signal processing techniques cannot be directly applied to nonlinear MIMO. Therefore, we explore efficient channel estimation and multi-user detection algorithms based on Bayesian inference (such as approximate message passing, MCMC, Viterbi equalization, etc.) for nonlinear MIMO, thereby laying a theoretical and practical foundation for the widespread application of nonlinear MIMO.