5G Massive MIMO 系统能量有效的波束赋形技术研究

Massive MIMO系统毫米波段的波束赋形是应用于未来5G连续广域覆盖与热点高容量场景以保证传输性能的关键技术。然而，由大规模天线阵列以及等数量RF链路带来的高能耗和高花费不仅导致传统全数字波束赋形技术不适用，还会对全球经济和环境造成重大影响。基于此，本项目对Massive MIMO系统能量有效的波束赋形预处理策略的设计与优化开展基础科学研究。具体内容包括：结合毫米波系统缺秩信道估计，设计部分连接架构下的混合波束赋形算法以达到与全数字波束赋形相同的性能；将能量采集引入到Massive MIMO系统使可再生能源与恒流源互补供电，并进行能量波束优化以实现绿色节能；设计波束赋形策略以克服Massive MIMO系统导频宽波束估计与数据窄波束传输导致的相位失配问题。本项目旨在使5G蜂窝移动通信以更高能效性获得更好的系统性能，为Massive MIMO技术的实际应用及实现绿色通信奠定基础。

The beamforming of massive MIMO systems in millimeter wave band is a key technology which can be used in the future 5G wide area coverage and hot spots scenarios to ensure the transmission performance. However, high energy consumption and costs caused by large-scale antenna arrays and equivalent number of RF links not only lead to the inapplicability of traditional digital beamforming technology, but also have a significant impact on the global economy and environment. Accordingly, this project looks at the basic scientific research on the design and optimization of energy-efficient beamforming pre-processing strategies for massive MIMO systems. Specific contents include: With rank-deficient channel estimation in millimeter wave band, hybrid precoding algorithms will be designed to reach identical performance with the traditional digital beamforming; The energy harvesting technology is introduced in the massive MIMO systems in which a renewable and a constant non-renewable energy source are complementary supplied, energy beam optimization is further considered for achieving green energy-saving communications; Beamforming strategies for overcomeing phase mismatching problem, which is caused by wide beamwidth of the pilot and narrow beamwidth of data transmission, is devised. This project aims to achieve better system performance with higher energy efficiency for 5G cellular mobile communications, and finally lay the foundation for the practical application of massive MIMO technology and the realization of green communication.