Research on MIMO Beam Integration Optimization Method Based on PredRNN Prediction and Ant Colony Algorithm
With the rapid advancement of 5G base station construction and application, Massive MIMO technology has become an essential key technology in 5G network optimization, and accurate and efficient optimization of MIMO antenna beam configuration has become a research focus. For the optimization of MIMO antenna beam configuration, an integrated scheme based on PredRNN prediction and ant colony optimization is proposed. The experimental demonstration shows that the PredRNN prediction model is closer to the real user distribution, and the ant colony optimization algorithm can effectively solve the difficulties of multi-base station multi-beam joint optimization, thus improving the energy efficiency of 5G network.
Authors
- Jiajia Hao
- Zhenhai Zhu
- Yuan Wu
Institutions
- China Mobile (China) (CN)
Publication Details
- Published
- 2024-10-23
- DOI
- https://doi.org/10.1109/isape62431.2024.10840496
- Primary Topic
- Telecommunications and Broadcasting Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00