Wireless communication device and channel estimation method
The wireless communication device uses specialized AI models for varying SNR and UE speed ranges to optimize channel estimation, addressing performance challenges in mobile communication systems by selecting the appropriate model based on current conditions and reducing unnecessary updates.
WO2026115629A1PCT designated stage Publication Date: 2026-06-04SOFTBANK CORPORATION
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- SOFTBANK CORPORATION
- Filing Date
- 2024-11-26
- Publication Date
- 2026-06-04
Smart Images
Figure JP2024041850_04062026_PF_FP_ABST
Abstract
In a wireless communication device 10, a storage unit 15 stores a plurality of AI models including a (1, 1)-th AI model, a (1, 2)-th AI model, ..., and an (M, N)-th AI model. The plurality of AI models are generated by machine learning using, as teacher data, the SNRs and the UE movement speeds for a plurality of combinations each consisting of one of a plurality of SNR ranges and one of a plurality of speed ranges, and are respectively specialized for the plurality of combinations. In the wireless communication device 10, a processor 14: selects, from among the plurality of AI models, any one AI model corresponding to any one SNR range to which the SNR of a received signal belongs from among the plurality of SNR ranges and any one speed range to which the current UE movement speed belongs from among the plurality of speed ranges; and performs, by using the selected AI model, channel estimation on the basis of the SNR of the received signal and the current UE movement speed.
Need to check novelty before this filing date? Find Prior Art