毫米波通信系统的研究对5G通信技术发展至关重要，然而毫米波面临着路径传播损耗大，衍射差等问题。将大规模MIMO技术与毫米波相结合可显著提高系统的频谱效率和峰值速率，因此构建毫米波大规模MIMO通信系统可有效解决上述难点。目前针对毫米波大规模MIMO通信系统的研究仍局限在较为理想的场景设定，包括空旷的乡村、划定范围的试验场等，极大地限制了该技术的实际应用。本项目将深入开展干扰环境下毫米波大规模MIMO的波束管理研究，主要包括：(1)多波束并行传输技术研究；(2)基于压缩感知理论的波束训练码书研究；(3)基于低秩信道估计的智能波束调度研究。本项目的研究将为5G毫米波通信提供相应的理论依据和参考，并为工程的实际应用提供一定的技术指导。

Research on mmWave massive MIMO communication system is of critical importance to 5G communication. However, mmWave, being the transmission carrier of data, is facing severe challenges, such as serious path propagation loss and limited diffraction performance. The combination of mmWave and massive MIMO technology can be used to solve the shortage of spectrum resource and limited rate. However, research on mmWave Massive MIMO communication is in its early stages, with existing results being based on simplified settings, including the open country, limited proving ground, etc., which greatly limits their applicability in practical scenarios. This project, considering the inherent deficiency of mmWave communication systems under the interference scenario, aims to devise a robust beam management for mmWave massive MIMO communication framework including exploring (1) Multi-beam cooperative transmission techinque; (2) Compressed sensing based on training codebook design; (3) The low-rank channel estimation model for intelligent beam scheduling. The project is predicated to offer an important theoretical foundation and guidance for 5G mmWave communication as well as the application of in engineering.