Real-Time Antenna Configuration for Frequency Interference Control
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Solution Overview
Problem
Existing multi-band coordination systems face issues with reduced spectral efficiency and throughput due to mismatched service features in actual networks compared to preset models, leading to poor coverage performance and interference among different center frequencies.
Innovation Solution
A method for configuring a multi-frequency heterogeneous antenna by adjusting parameters based on real-time measurement data from terminal devices, using utility indicators to optimize antenna settings for improved network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If multi-frequency homogeneity antenna parameters are used, then coverage characteristics are consistent across different center frequencies, but interference between center frequencies increases and coverage independence deteriorates
Solution Approach 1:
The patent applies local quality by configuring different antenna parameters for different center frequencies based on their specific coverage requirements and interference characteristics. Each frequency band receives customized parameter settings (e.g., different beam directions, tilts, or beamforming weights) tailored to its local network conditions, rather than using uniform parameters across all frequencies.
2Ease of manufacture
If preset network model parameters are used for multi-frequency heterogeneous antenna, then antenna configuration is simplified, but receiving performance deteriorates when actual service features differ from the model
Solution Approach 1:
The patent implements feedback mechanisms where the network monitors actual receiving performance metrics (such as reference signal received power, signal-to-interference-plus-noise ratio) and uses this information to dynamically adjust antenna parameters. This closed-loop approach allows the system to adapt to actual service conditions and correct deviations from preset models, maintaining optimal performance without excessive configuration complexity.
Solution Approach 2:
The patent transitions from static preset parameters to dynamic parameter adjustment. The antenna configuration is made adaptable through real-time or near-real-time modifications based on actual network conditions, enabling the system to respond to changing service features, user distributions, and interference patterns while maintaining receiving performance.
3Device complexity
If fixed antenna parameters are used, then system complexity is reduced, but spectral efficiency and throughput decrease due to inability to adapt to changing service features
Solution Approach 1:
The patent introduces dynamic parameter adjustment capabilities that allow the antenna system to adapt to changing service features such as user mobility, traffic patterns, and network load. The system can modify parameters like beam direction, beam width, and timing advance in response to actual network conditions, thereby improving spectral efficiency without requiring complete system redesign.
Solution Approach 2:
The patent utilizes parameter changes as a primary mechanism for optimization. By adjusting key antenna parameters (such as phase shifts, amplitude weights, beamforming vectors, or tilts) based on actual service conditions, the system achieves improved spectral efficiency and throughput while maintaining relatively simple underlying hardware architecture.
Data Source
AI summary
This application provides a method for configuring an antenna, an apparatus, and a device. In the method, an access network device receives first measurement data from a terminal device, and adjusts a parameter of the antenna from a first antenna parameter combination to a second antenna parameter combination based on the first measurement data. According to the foregoing method, the access network device may adjust the antenna parameter based on measurement data fed back by the terminal device in real time. This helps different antenna parameters adapt to different service features in real time, and helps improve receiving performance of a device in a network (for example, improve reference signal received power of the terminal device), thereby improving spectral efficiency and throughput of the network.