AI PHY Parameter Recommendation for WLAN Link and Interference Balance
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Solution Overview
Problem
Existing wireless local area network (WLAN) methods lack dynamic mechanisms for stations (STAs) to obtain optimal transmission power and PHY parameter recommendations based on real-time network conditions and specific operational states, leading to suboptimal link quality, excessive interference, and privacy concerns.
Innovation Solution
A mechanism where access points (APs) provide AI/ML-based PHY parameter recommendations to STAs, considering current channel conditions and operational metrics, allowing STAs to make informed adjustments within acceptable link degradation limits, enhancing privacy through dynamic adaptation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If transmission power is increased to improve link quality, then link quality is improved, but interference to neighboring devices increases and regulatory violations may occur
Solution Approach 1:
The patent dynamically adjusts transmission power parameters based on real-time channel conditions, link margin, and operational state. The AP monitors these parameters and modifies the STA's transmission power within acceptable ranges to maintain link quality while minimizing interference, resolving the contradiction between reliability and harmful factors through adaptive parameter changes
Solution Approach 2:
The patent implements a feedback mechanism where the AP receives operational metrics from the STA, evaluates link quality, and provides recommendations for power adjustment. This closed-loop feedback system enables continuous optimization of transmission power to balance link quality improvement with interference reduction
2Object-generated harmful factors
If transmission power is decreased to reduce interference, then interference is reduced, but link quality deteriorates
Solution Approach 1:
The system dynamically modifies transmission power parameters based on real-time channel conditions and link margin measurements. When channel conditions permit, the AP reduces transmission power to minimize interference while maintaining sufficient link quality through adaptive parameter adjustment
Solution Approach 2:
The patent introduces dynamic transmission power control that adapts to changing network conditions. The system transitions from static power levels to dynamic adjustment, allowing the STA to operate at optimal power levels that vary based on channel quality, distance, and interference conditions
3Reliability
If transmission power is increased to maintain connection quality, then link quality is maintained, but energy consumption increases
Solution Approach 1:
The patent optimizes energy consumption by dynamically adjusting transmission power parameters based on actual channel conditions and link margin. The system avoids unnecessary high power transmission by using adaptive power control, thereby reducing energy consumption while maintaining connection quality through intelligent parameter management
Solution Approach 2:
The system enables the STA to autonomously adjust its transmission power based on recommendations from the AP and its own operational state. This self-service mechanism allows the STA to optimize its energy consumption without requiring continuous external control, balancing connection quality maintenance with energy efficiency
4Object-generated harmful factors
If AP enforces transmission power constraints to control interference, then interference is controlled, but adaptability to individual STA needs is reduced
Solution Approach 1:
The patent implements differentiated power control for different STAs based on their individual channel conditions, operational states, and link requirements. Instead of uniform power constraints, the system provides STA-specific power recommendations tailored to local conditions, thereby maintaining interference control while improving adaptability to individual needs
Solution Approach 2:
The system transitions from static, one-size-fits-all power constraints to dynamic, adaptive power management. The AP continuously monitors each STA's operational metrics and adjusts power recommendations in real-time, enabling the system to adapt to changing individual STA needs while maintaining overall interference control
Data Source
AI summary
The present disclosure provides techniques for physical layer (PHY) parameter recommendation for improved link quality. An access point (AP) receives a recommendation request frame from a station (STA), the recommendation request frame comprising at least one of: one or more physical layer (PHY) parameters of the STA, a link margin of the STA, or one or more acceptable link degradation limits of the STA. The AP determines, based on the recommendation request frame, a recommended range for at least one of the PHY parameters, the recommended range being determined to maintain link performance within the acceptable link degradation limits. The AP transmits a recommendation response frame to the STA, the recommendation response frame comprising the recommended range, where the STA adjusts at least one PHY parameter based on the recommended range.