Adaptive TWT Wake Scheduling for Low-Jitter Wi-Fi Clients
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Solution Overview
Problem
Existing wireless devices struggle with power consumption and performance issues due to improper configuration of Target Wake Time (TWT) mechanisms, leading to inefficient power usage and potential jitter in data communication.
Innovation Solution
A wireless networking device analyzes client device traffic patterns using deep packet inspection to set customized wake schedules based on data traffic characteristics, determining wake durations and intervals to optimize power consumption and minimize jitter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If TWT mechanisms are used to reduce power consumption, then device sleep time increases and power consumption decreases, but wake-up schedules may become outdated or mismatched leading to increased jitter
Solution Approach 1:
The patent implements dynamic TWT parameter adjustment by continuously monitoring data traffic characteristics and adapting wake schedules in real-time. The system transitions from static, pre-configured TWT parameters to dynamic parameters that automatically adjust based on observed traffic patterns, resolving the contradiction between power savings from long sleep periods and jitter control requiring timely wake-ups.
Solution Approach 2:
The system employs feedback mechanisms by monitoring data traffic characteristics and using this information to adjust TWT wake schedules. The access point observes traffic patterns and feeds this information back to modify wake-up times, ensuring that devices wake at optimal moments for data transmission, thereby reducing jitter while maintaining power efficiency.
2Use of energy by moving object
If fixed TWT parameters are used, then power consumption is reduced through extended sleep periods, but the wake-up schedules become outdated and inefficient
Solution Approach 1:
The patent transforms fixed TWT parameters into dynamic, adaptive parameters that evolve with traffic conditions. By continuously monitoring data traffic characteristics and adjusting wake schedules accordingly, the system maintains both power efficiency and data transfer effectiveness, preventing the parameters from becoming outdated.
Solution Approach 2:
The system changes TWT parameters based on observed data traffic characteristics. Instead of using static parameters, the access point modifies wake intervals and timing based on actual traffic patterns, ensuring that power consumption remains optimized while data transfer efficiency is maintained through up-to-date scheduling.
3Speed
If devices wake up frequently to check for data, then data transfer responsiveness is improved, but power consumption increases
Solution Approach 1:
The patent implements periodic wake-up schedules based on monitored data traffic characteristics. Instead of frequent or continuous wake-ups, devices wake at calculated intervals that match their actual data traffic patterns. This periodic action maintains responsiveness to data arrivals while maximizing sleep time to reduce power consumption.
Solution Approach 2:
The system performs preliminary monitoring of data traffic characteristics to determine optimal wake schedules before devices actually wake up. By analyzing traffic patterns in advance and pre-calculating optimal wake times, the system ensures devices wake just in time for data transmission, maintaining responsiveness without unnecessary frequent wake-ups that would increase power consumption.
Data Source
AI summary
An example method for managing wake schedules of client devices is presented. A wireless networking device determines a value of a data traffic characteristic of a client device based on monitoring of data traffic associated with the client device. If it is determined that the client device is capable of implementing the TWT mechanism, the wireless networking device may set a wake schedule for the client device based on the value of the data traffic characteristic. Once the wake schedule is set, the wireless networking device communicates with the client device as per the wake schedule. In some examples, the wireless networking device may set custom wake schedules for different client devices when the client devices have different behaviors for the same data traffic characteristic. Further, in certain examples, the wireless networking device may even set custom wake schedules for different activity periods for the same client device.