Smart Antenna Mode Selection via Reward Indicators
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Solution Overview
Problem
Designing a standard process for smart antennas to automatically select the best mode for wireless communication has proven challenging, as existing technologies lack an efficient method for evaluating and switching between multiple antenna modes to optimize communication performance.
Innovation Solution
A communication device equipped with a smart antenna, storage device, and processor that uses a training stage to calculate reward indicators based on feedback data, compares these indicators to select the optimal mode, and updates the indicators using a weight function during a working stage to adapt to changing environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a smart antenna switches between multiple antenna modes to optimize wireless communication, then communication performance is improved, but the complexity of controlling and selecting the best mode increases
Solution Approach 1:
The patent implements a feedback mechanism where the system transmits test data through different antenna modes, receives feedback data about communication quality, and uses this feedback to calculate reward indicators. This closed-loop feedback system automatically evaluates and selects the optimal antenna mode without requiring complex manual control, thereby improving communication performance while managing system complexity through automated decision-making
Solution Approach 2:
The antenna selection system operates autonomously by automatically testing different modes, evaluating their performance through feedback data, and selecting the best mode without external intervention. The system serves itself by implementing the entire selection process internally through automated reward indicator calculation and mode switching, reducing the burden of external control complexity
2Measurement precision
If the smart antenna tests multiple antenna modes during a training stage, then the selection accuracy is improved, but the time required for initialization increases
Solution Approach 1:
The patent implements a training stage that performs preliminary testing of all antenna modes before actual communication begins. During this preliminary action phase, the system transmits test data through each mode and stores reward indicators for future reference. This preliminary evaluation enables rapid mode selection during operation without repeating full testing, thus maintaining high selection accuracy while reducing ongoing time requirements
Solution Approach 2:
The system performs a complete test of all antenna modes during the training stage (excessive action) to establish comprehensive reward indicators. This one-time exhaustive testing provides sufficient data for accurate future selections, allowing the system to achieve high measurement precision without requiring repeated full tests, thereby balancing initialization time with ongoing operational efficiency
Data Source
AI summary
A communication device includes a smart antenna, a storage device, and a processor. The smart antenna is capable of switching between a plurality of antenna modes. In each of the antenna modes during a training stage, the smart antenna receives a first feedback datum, and the processor calculates a reward indicator according to the first feedback datum. The processor compares all of the reward indicators with each other and controls the smart antenna to select a specific mode of the antenna modes according to a comparison between all of the reward indicators. In the specific mode, the smart antenna receives a second feedback datum, the processor determines the weight function of the first feedback datum and the second feedback datum of the specific mode, and the processor updates the reward indicator of the specific mode according to the weight function.