Research Focus

Nonlinear MIMO Signal Processing: Massive MIMO and millimeter-wave/terahertz high-frequency bands are among the most critical 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 radio frequency (RF) circuits. Our research group explores the use of amplitude/phase detectors and low-precision RF devices to design nonlinear MIMO systems to address these challenges. Due to the introduction of nonlinear distortions, traditional MIMO signal processing techniques cannot be directly applied to nonlinear MIMO. Therefore, we focus on developing efficient channel estimation and multi-user detection algorithms based on Bayesian inference (such as approximate message passing, MCMC, Viterbi equalization, etc.) for nonlinear MIMO. This work lays the theoretical and practical foundation for the broader application of nonlinear MIMO technology.