用于定位的特征处理神经网络的服务器到基站配置
By receiving and analyzing neural network parameters and reference signal measurements from the target user's equipment in network nodes, feature statistics are generated to estimate the location, solving the problem of insufficient positioning accuracy and speed in 5G wireless communication systems and realizing a more efficient positioning method.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- QUALCOMM INC
- Filing Date
- 2022-03-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing wireless communication systems struggle to efficiently locate target user equipment under the 5G standard, especially in complex multipath environments, resulting in insufficient positioning accuracy and speed, failing to meet 5G's demands for high data transmission speeds, a larger number of connections, and better coverage.
The system receives neural network parameters through network nodes, measures reference signals of the target user equipment, generates feature statistics, and reports these statistics to estimate the location of the target UE. It then uses the neural network and measurement data for localization.
It improves the positioning accuracy and speed of wireless communication systems, meets the requirements of 5G standards for high data transmission speed, larger number of connections and better coverage, reduces waiting time and improves signaling efficiency.
Smart Images
Figure CN117280635B_ABST