大规模MIMO鲁棒预编码传输理论方法研究

By employing hundreds of antennas at a base station (BS), massive multi-input multi-output (MIMO) systems can exploit the spatial degree of freedoms thoroughly, and provide huge potential spectral efficiency and power efficiency enhancement. Massive MIMO is one of the most important research topics in the fifth generation (5G) and the future beyond 5G (B5G) wireless communication networks, and has been widely investigated during the last few years. To face the challenge imposed by the practical finite antenna array size constraint, the challenge by the applications in various typical wireless communication systems, the challenges by the limited pilot resources and the system implementation complexity, we propose and investigate the robust transmission for massive MIMO under the a posterior non-orthogonal jointly correlated channel model. The research focus on the a posterior non-orthogonal jointly correlated channel model for massive MIMO, the optimal transmission scheme and user scheduling method based on the a posterior model. The aim of this project is to develop the a posterior non-orthogonal jointly correlated channel model for massive MIMO, the theoretical approaches for the corresponding optimal transmissions and user scheduling, as well as their low complexity implementation methods. We expect to obtain systematical results on the robust transmission technique for massive MIMO under imperfect CSI, which solves the adaption problem to various typical wireless communication systems, the bottleneck problem for the channel information acquisition, and the system implementation complexity problem.

大规模MIMO无线通信通过在基站侧配备大规模天线阵列，充分利用了空间维度资源，极大提高了系统频谱效率和功率效率，是5G以及未来B5G无线通信网络最重要的研究方向之一，目前已经被研究者们广泛研究。围绕大规模MIMO无线传输所涉及的实际天线阵列约束问题、典型移动通信场景适应性问题、导频资源受限问题和系统复杂性问题，本项目提出并探索基于非正交联合相关后验统计模型的大规模MIMO鲁棒预编码传输理论方法，研究内容包括大规模MIMO信道非正交联合相关后验统计模型、大规模MIMO鲁棒预编码传输方法以及用户调度方法等三个方面。通过本项目的工作，拟探明大规模MIMO信道非正交联合相关后验统计模型、相适应的最优传输方法和用户调度方法及两者低复杂度实现理论方法，形成较为完整的大规模MIMO无线传输方法，为解决所涉及的实际典型通信场景适应性问题、信道信息获取瓶颈问题和系统实现复杂性问题提供有效途径。

5G以及B5G移动通信对传输速率及用户移动性等系统性能提出了更高的要求。大规模MIMO能够充分挖掘空间维度无线资源， 极大地提高无线通信系统的频谱和功率效率，已被确定为5G的关键技术之一。此外，由大规模MIMO发展而来的超大规模MIMO未来有望成为6G的关键技术之一。大规模MIMO的相关研究已经比较广泛，但仍存在着具有挑战性的理论和技术问题。对于大规模MIMO系统而言，由于信道信息获取瓶颈问题，传统依赖于精确信道信息的预编码传输理论方法将难以适应，由此派生出新的无线通信问题。本项目开展了大规模MIMO鲁棒预编码传输理论方法研究，解决了所涉及的基于波束的后验信道统计模型建立、鲁棒预编码设计和用户调度、宽覆盖预编码设计、系统实现复杂性等问题，取得了一系列重要创新性研究成果，并在此基础上形成了具有一般性的大规模MIMO传输理论方法，在典型移动通信场景下使得系统速率大幅提升，为大规模MIMO在各种典型移动通信场景下的更好地应用提供了理论基础。

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