QoS Control via Throughput Budgeting for Wireless Links
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Solution Overview
Problem
The performance of wireless transceivers can vary significantly due to factors like interference and collision, affecting the quality of service (QoS) for upper-layer applications, which requires real-time adjustment of QoS-related parameters to match the current capability of the transceivers.
Innovation Solution
A method that involves obtaining a predicted throughput and a real-time measured throughput of a wireless link, calculating a throughput budget, and adjusting QoS-related parameters such as resolution and transmission rate based on this budget, using a monitoring unit in the firmware to ensure optimal QoS control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If QoS parameters are adjusted in real-time to match wireless transceiver capability, then application quality is improved, but system complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors actual wireless transceiver throughput and compares it with predicted throughput. Based on this feedback, QoS parameters are dynamically adjusted to match actual capability, ensuring applications receive appropriate service quality while adapting to changing wireless conditions.
Solution Approach 2:
The system transitions from static QoS parameter settings to dynamic adjustment. The QoS parameters are continuously modified based on real-time throughput measurements and predictions, allowing the system to adapt to varying wireless conditions and maintain optimal application quality without fixed configurations.
2Measurement precision
If throughput monitoring and QoS adjustment are performed continuously, then QoS control precision is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by predicting future throughput based on current wireless conditions before actual throughput occurs. This allows the system to proactively adjust QoS parameters in advance, reducing the need for continuous reactive adjustments and minimizing processing time while maintaining precise control.
Solution Approach 2:
The patent maintains continuous monitoring and adjustment operations to ensure uninterrupted QoS optimization. The system keeps throughput measurements and predictions ongoing, allowing seamless adaptation to changing conditions without gaps in monitoring that would reduce precision or increase processing delays.
Data Source
AI summary
A method for controlling QoS (quality of service) associated with an application is provided. The method includes the following steps. Obtaining a predicted throughput of a wireless link associated with a wireless transceiver. Obtaining a currently measured throughput of the wireless link. Calculating a throughput budget of the wireless link based on the predicted throughput and the currently measured throughput. Adjusting at least one of a plurality of QoS-related parameters associated with the application base on the throughput budget.