Radio Device Adaptive Radiation Pattern Determination
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Solution Overview
Problem
Short-range wireless communication technologies face connectivity issues due to signal interference, physical barriers, and electromagnetic interference, leading to unstable connections and negative user experiences, particularly when users move around indoors.
Innovation Solution
Adaptive radiation pattern determination and channel assessment mechanisms are employed to optimize network performance by predicting network usage patterns, recommending available devices, and configuring communication resources automatically, especially in emergency situations, using AI/ML for seamless connectivity and quality of experience (QoE) enhancement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If adaptive radiation pattern determination and channel assessment mechanisms are employed, then connectivity and quality of experience are enhanced, but device complexity increases
Solution Approach 1:
The system performs preliminary channel assessments and radiation pattern determinations before communication occurs. Channel quality metrics are pre-evaluated for multiple channels, and radiation patterns are pre-characterized for different antenna configurations, allowing the device to quickly select optimal parameters without real-time computation complexity.
Solution Approach 2:
The patent replaces complex real-time signal processing and adaptive modulation mechanisms with pre-computed channel assessment tables and radiation pattern databases. Instead of dynamically adjusting transmission parameters based on continuous feedback, the system uses stored characterization data to guide communication decisions, reducing computational burden.
2Reliability
If AI/ML is used for predicting network usage patterns and optimizing communication resources, then quality of experience is enhanced, but use of energy increases
Solution Approach 1:
The system applies AI/ML techniques selectively rather than continuously. Channel assessments are performed at specific intervals or triggered by events such as connection establishment or significant environmental changes. Radiation pattern determinations are made only when antenna configurations change, reducing computational energy consumption while maintaining QoE.
Solution Approach 2:
The patent uses lightweight, simplified AI/ML models that can be quickly trained and discarded rather than complex persistent models. Channel assessment data is treated as transient information that is computed, used for immediate optimization, and then discarded, avoiding the need for long-term model maintenance and retraining.
3Adaptability or versatility
If automatic configuration of communication resources is implemented, then adaptability is enhanced, but device complexity increases
Solution Approach 1:
The system implements automatic configuration where the communication device independently selects optimal channels, antenna configurations, and transmission parameters based on pre-computed channel assessment data and radiation pattern information. The device self-optimizes without requiring external configuration or complex control algorithms, achieving adaptability through data-driven decision-making.
Solution Approach 2:
The patent achieves adaptability by pre-characterizing multiple communication parameters including channel quality metrics for different frequencies, radiation patterns for various antenna configurations, and signal propagation characteristics. The system automatically adjusts these parameters based on the pre-computed data, enabling versatile adaptation without complex real-time control mechanisms.
Data Source
AI summary
An apparatus of a radio communication device, the apparatus may include a processor configured to: determine a radiation pattern for a plurality of channels of a short-range wireless communication network, wherein the radiation pattern is representative of quality metrics for the plurality of channels at a plurality of directions relative to the radio communication device; determine a location of a further radio communication device; configure a parameter of a connection with the further radio communication device based on the radiation pattern and the location of the further radio communication device.


