Network Downlink PRB Utilization Rate Forecasting and Evaluation Method based on Multi-feature Construction-Reference-Cited by-同舟云学术

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Network Downlink PRB Utilization Rate Forecasting and Evaluation Method based on Multi-feature Construction

Published:2023-12-08 Issue: Volume: Page:1419-1423
ISSN:
Container-title:2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
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Author:

Jiang Feng¹,Liu Lili²,Cheng Ritao¹,Wang Shen¹,Meng Jiangtao¹,Zhang Shizhe¹,Li Mengyu¹

Affiliation:

1. China Mobile Group Design Institute,Beijing,China

2. China Mobile Communications Corporation,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406301/10408741/10408987.pdf?arnumber=10408987

Reference7 articles.

1. Feature Selection for Neural Networks Using Group Lasso Regularization

2. Long Short-Term Memory Based Refined Load Prediction Utilizing Non Intrusive Load Monitoring

3. Short-term Load Forecasting for Distribution Network Using Decomposition with Ensemble prediction

4. Prediction method of 5G high-load cellular based on BP neural network

5. Study of Metal-Gate Work-Function Variation Using Voronoi Cells: Comparison of Rayleigh and Gamma Distributions

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