A beam allocation method for large-scale multi-antenna marine communication system
By combining Gaussian anomaly detection and convolutional deep confidence neural network in the marine communication system, using planned waterway and location information to predict interrupts and beam allocation results, the effectiveness of beam allocation schemes in the marine environment is solved, and more efficient and stable beam allocation is achieved.
Patent Information
- Application Number
- CN202210289721.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-03-23
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2042-03-23
AI Technical Summary
The prior art is difficult to effectively deploy position-assisted beamforming technology in harsh marine environments, especially in marine communication scenarios, where traditional position-assisted beam allocation schemes cannot effectively respond to fluctuations in channel responses.
A beam allocation method for large-scale multi-antenna marine communication system is proposed, combining Gaussian anomaly detection (GAD) and convolutional deep confidence neural network (CDBN), using planned channel information and position information of user equipment (UE) to predict interrupt events and beam allocation results to achieve more efficient beam allocation.
Through this method, system performance can be improved in marine communication scenarios, the accuracy and stability of beam allocation can be enhanced, and channel fluctuations in marine environments can be effectively dealt with.