基于5G Massive MIMO的波束级MR研究与应用实践

随着5G网络逐渐步入存量优化阶段,单纯基于MR的数据无法体现场景用户的深度覆盖水平,且在运维过程中,如何精准定位以提升规划准确度、如何降本增效以提高运维效率成为了重要课题。在传统MR覆盖优化的基础上,利用当前5G独有的波束级MR测量,可以使Massive MIMO权值优化从典型波束场景,向自定义波束场景演进。将成熟的MR立体分析方法应用到自定义波束领域,再次提升深度覆盖问题的优化方法的准确性和灵活性。经验证,SSB RSRP均值可提升1dB,重叠覆盖率改善了1.22%,大幅改善了5G用户的网络质量。

Research and Application of Beam-level MR Based on 5G Massive MIMO

As the 5G network gradually enters the stock optimization stage, data based on MR alone cannot reflect the depth coverage level of scene users, and in the process of operation and maintenance, how to accurately position and improve the accuracy of planning, how to reduce costs and increase efficiency and improve the efficiency of operation and maintenance has become an important topic. On the basis of traditional MR coverage optimization, the current 5G unique beam-level MR measurement is used to make the mass MIMO weight optimization evolve from a typical beam scenario to a custom beam scenario. The mature MR stereo analysis method is applied in the field of customized beam, so that the accuracy and flexibility of the optimization method for the depth coverage problem can be improved again. It is verified that the average SSB RSRP can be increased by 1 dB, the overlap coverage rate can be improved by 1.22%, and the quality of 5G network users can be significantly improved.