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Erschienen in:
2021 | OriginalPaper | Buchkapitel
The Method of Accurate Coverage Optimization for 5G Massive MIMO Based on Big Data
verfasst von : Pengcheng Liu, DeSheng Wu, Yang Zhang, Zetao Xu, Yuan Fang, Ao Shen, Jinhu Shen, Jimin Ling, Jinglei Zuo
Erschienen in: Signal and Information Processing, Networking and Computers
Verlag: Springer Singapore
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Abstract
As 5G Massive MIMO achieves accurate coverage through 3D beamforming, the measurement and evaluation of coverage changes from “cell level” to refinement to “beam level”, which poses a new challenge to network coverage optimization. Therefore, in this paper, the coverage interference and path loss are modeled based on DT data with the help of big data processing methods, and the optimal coverage optimization method combination of Pattern + RF is finally solved through accurate coverage interference prediction and iterative optimization algorithms. This method can improve the accuracy of Massive MIMO coverage optimization, and achieve the most accurate optimization, the highest efficiency, the best performance, and the most cost-effective.