毫米波分布式大规模MIMO通信关键技术研究

毫米波通信是B5G(Beyond5G)/6G移动通信提升网络容量和传输速率的关键技术。大规模MIMO结合天线节点分布式部署形成分布式大规模MIMO系统，可以有效弥补毫米波通信覆盖能力较弱、易突发中断的缺点，将成为B5G/6G移动通信的基本架构。本项目拟针对毫米波分布式大规模MIMO系统开展研究。首先研究无线传输关键技术，探索高效的信道信息获取方法和低复杂度的鲁棒预编码算法；其次研究智能连接管理和切换方法，提升毫米波通信的覆盖能力和鲁棒性；然后研究毫米波无线回程关键技术，解决密集分布式网络中回程链路布设困难、不够灵活的问题；最后研究多址接入和动态资源调配，运用深度学习、强化学习等方法充分挖掘时/频/空域多维资源。力争形成比较完整的毫米波分布式大规模MIMO通信技术体系，为B5G/6G移动通信发展提供技术支撑。

Millimeter-wave communication is a key technology for B5G(Beyond5G)/6G mobile communication systems to improve network capacity and transmission rate. The distributed massive MIMO system, which combines massive MIMO and distributed deployment of antenna ports, can effectively compensate for the shortcomings of millimeter-wave communications, such as weak coverage and frequent interruption. It is expected to become a basic architecture of B5G/6G mobile communication systems. This project intends to carry out research on millimeter-wave distributed massive MIMO communications. First, we study key technologies of wireless transmission, including efficient channel information acquisition methods and robust precoding algorithms with low-complexity. Then, we focus on smart connection management and handover methods to improve the coverage and robustness of millimeter-wave communications. Next, we explore key technologies of millimeter-wave wireless backhauling to deal with difficult and inflexible backhaul link layout in dense networks. Finally, we study multiple access and dynamic resource allocation algorithms to explore multi-dimensional resources in time/frequency/space domain by using deep learning and reinforcement learning methods. This project strives to establish an integrated technology of millimeter-wave distributed massive MIMO communications, which will provide technical support for the development of B5G/6G mobile communication systems.