摘要
5G移动通信网络的高频段、Massive-MIMO天线、3D网规部署场景对网络规划的仿真精度提出更高要求,传统Racye射线传模存在场景定义量化难、数据采集成本高的弊端。为解决此问题,引入X-Model自适应模型,首先通过场景自适应算法得到每个仿真小区在传模库中最匹配该场景的Rayce传模参数,之后采用Min-Max归一化算法进行源场景特征提取,对场景进行自动化识别,最后在商场、写字楼等场景下对X-Model仿真准确性进行验证和评估。验证表明,X-Model传播模型仿真效率优势明显,更适合5G移动通信网络仿真。此外,评估结果可以作为指导5G室内覆盖建设优先级及室分系统精细化设计的参考。
High frequency bands, massive-MIMO antennas, and 3D network planning and deployment scenarios of 5G mobile communication network pose higher requirements for network planning simulation accuracy. The traditional Ray-tracing propagation model has the disadvantages of difficult scenario definition and quantization and high data acquisition cost. To solve this problem, the X-Model adaptive model is introduced. Firstly, the Ray-tracing propagation model parameters that best match the scenario of each simulation cell in the propagation model library are obtained by using the scenario adaptive algorithm. Then, the Min-Max normalization algorithm is used to perform feature extraction for the source scenario and automatically identify the scenario. Finally, the simulation accuracy of X-Model is verified and evaluated in shopping malls and office buildings. The verification shows that the X-Model propagation model has obvious advantages in simulation efficiency and is more suitable for 5G mobile communication network simulation. In addition, the evaluation results can be used as a reference for 5G indoor coverage construction priorities and refined indoor distribution system design.
作者
蓝万顺
刘大洋
张悦
徐登军
廖繁茂
李珂
LAN Wanshun;LIU Dayang;ZHANG Yue;XU Dengjun;LIAO Fanmao;LI Ke(China Mobile Group Guangdong Co.,Ltd.,Guangzhou 510623,China;Huawei Technology Co.,Ltd.,Shenzhen 518129,China)
出处
《移动通信》
2021年第5期140-146,共7页
Mobile Communications