基于场景的5G Pattern选型优化研究  

Research on 5G Pattern Selection Based on Different Scenes

作　　者：陈志强[1] 李凌[2] Chen Zhiqiang;Li Ling(China United Network Communications Group Co.,Ltd.,Beijing 100033,China;China Unicom Shanghai Branch,Shanghai 200080,China)

机构地区：[1]中国联合网络通信集团有限公司,北京100033 [2]中国联通上海分公司,上海200080

出　　处：《邮电设计技术》2020年第5期22-26,共5页Designing Techniques of Posts and Telecommunications

摘　　要：介绍了5G关键技术Massive MIMO的波束赋形功能。从多个场景下的Pattern模式入手,提出了不同场景下的波束选型。对5G现网深度覆盖场景采用不同的Pattern选型进行测试分析、优化归类,最终成功梳理出深度覆盖场景下的Pattern选型建议,使5G基站发挥最大效果,进一步提升深度覆盖和用户感知,对5G网络优化有指导意义。It introduces the beamforming function of the 5G key technology Massive MIMO. Starting from pattern mode in multiple scenes,the beamforming selection in different scenes is proposed. Different pattern models are used to test 5G current network deep coverage scenarios,including scenario selection,test analysis,optimization and classification. Finally,it successfully combs out the pattern selection in the deep coverage scenario,so that 5G base station can play the maximum effect,further improves the deep coverage and user perception,which is instructive to 5G existing network optimization.

关 键 词：5G Massive MIMO 波束赋形 Pattern选型 

分 类 号：TN929.5[电子电信—通信与信息系统]