Antenna Parameter Adjustment via Environmental Scene Matching
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Solution Overview
Problem
Current methods for adjusting antenna parameters, such as signal strength, require significant system resources and cannot be adjusted in real time according to environmental conditions, leading to suboptimal radio signal propagation and communication states.
Innovation Solution
A method that acquires and compares environmental data sets to determine the current scene and sets antenna parameters accordingly, ensuring ideal communication states by matching the antenna parameters with preset parameters defined for specific scenes, thereby adjusting parameters in real time based on location and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If antenna parameters are adjusted by adjusting signal noise ratio (SNR), then signal strength can be controlled, but system resources are consumed excessively and real-time adjustment according to environmental conditions is not achieved
Solution Approach 1:
The system pre-collects environmental data (temperature, humidity, pressure, etc.) and pre-determines optimal antenna parameters for different environmental conditions. When adjustment is needed, the system simply retrieves pre-calculated parameters based on current environmental sensors, avoiding resource-intensive real-time calculations while achieving adaptive adjustment.
Solution Approach 2:
The patent replaces the traditional SNR-based adjustment mechanism with an environment-based adjustment mechanism. Instead of continuously monitoring and adjusting SNR (which consumes system resources), the system uses environmental sensors to determine the current scene and selects corresponding pre-stored antenna parameters, substituting a resource-heavy mechanical adjustment process with a lighter sensor-based selection process.
2Reliability
If antenna parameters are adjusted in real time according to environmental conditions, then optimal signal propagation can be achieved, but system complexity and calculation burden increase
Solution Approach 1:
The system pre-establishes a database of environmental data and corresponding optimal antenna parameters for various scenes (indoor, outdoor, urban, rural, etc.). This preliminary preparation allows the system to achieve reliable communication by simply matching current environmental readings with pre-determined parameters, avoiding complex real-time optimization calculations.
Solution Approach 2:
The patent creates simplified representations of different environmental scenes by collecting representative environmental data and corresponding optimal antenna parameters in advance. Instead of dealing with the full complexity of real-time environmental analysis, the system uses these pre-created scene models (copies) to quickly determine appropriate antenna settings, reducing computational burden while maintaining communication reliability.
3Adaptability or versatility
If traditional SNR adjustment methods are used, then system implementation is simpler, but antenna parameters cannot adapt to different environmental scenes
Solution Approach 1:
The system pre-collects environmental data for various scenes and pre-determines optimal antenna parameters during the manufacturing or initialization phase. This preliminary action embeds environmental adaptability into the system without requiring complex real-time processing, thus maintaining implementation simplicity while achieving environmental adaptability.
Solution Approach 2:
The patent changes the basis for antenna parameter adjustment from SNR (a signal quality metric) to environmental parameters (temperature, humidity, pressure, etc.). By using environmental parameters as the adjustment basis and pre-storing corresponding optimal values, the system achieves environmental adaptability while keeping the adjustment mechanism simple and easy to implement.
Data Source
AI summary
The present disclosure relates to a wireless communication technology, and provides a method for adjusting an antenna parameter, a radio device, and an apparatus with a storage function. The method may include: acquiring a target environmental data set, wherein the target environmental data set includes environmental data of an antenna assembly in a current location; comparing the target environmental data set with an environmental data set corresponding to a preset scene; determining a first preset scene to which an antenna assembly corresponding to the target environment data set belongs, to obtain a preset antenna parameter corresponding to the first preset scene, and setting a parameter of the antenna assembly for a radio signal to the preset antenna parameter, wherein the first preset scene is a preset scene to which the current location of the antenna assembly belongs.


