Adaptive TWT Service Periods for Wi-Fi Power and Latency Balance
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Solution Overview
Problem
Conventional power saving mechanisms in Wi-Fi systems do not consider the communication pattern between the access point (AP) and station (STA), leading to inefficient power consumption and latency due to inadequate determination of Target Wake Time (TWT) parameters.
Innovation Solution
Adaptive determination of TWT duration based on traffic and communication patterns between the AP and STA, allowing the STA to wake up periodically and for specific durations to optimize power usage without degrading user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If conventional power saving mechanisms (beacon-triggered or U-APSD) are used, then the STA can enter power saving mode, but the STA cannot dynamically adapt to traffic patterns leading to increased latency and inefficient power consumption
Solution Approach 1:
The patent implements dynamic TWT parameter adjustment where the STA and AP negotiate and update TWT wake intervals and service period durations based on real-time traffic patterns. The system transitions from static power saving parameters to dynamic parameters that adapt to changing traffic conditions, resolving the contradiction between power saving and latency by optimizing the balance based on actual network activity.
Solution Approach 2:
The patent employs feedback mechanisms where the STA monitors traffic patterns during active periods and uses this information to negotiate adjusted TWT parameters with the AP for subsequent wake intervals. This closed-loop feedback allows the system to learn from past traffic behavior and optimize future wake times and durations, simultaneously improving power efficiency and reducing latency by anticipating traffic demands.
2Speed
If the STA remains active during communication, then communication latency is reduced, but power consumption increases
Solution Approach 1:
The patent implements periodic wake intervals where the STA wakes up at negotiated TWT intervals to communicate with the AP and then returns to sleep mode. During active communication periods, the STA maintains full functionality for high-speed data transfer, while during idle periods between TWT sessions, the STA consumes minimal power. This periodic activation pattern resolves the contradiction by concentrating high-speed communication into specific time windows while saving power during intervals.
Solution Approach 2:
The patent dynamically changes TWT parameters including wake interval duration and service period length based on traffic conditions. When traffic is heavy, the system negotiates shorter wake intervals and longer service periods to maintain high communication speed. When traffic is light, the system extends wake intervals and reduces service periods to minimize power consumption. This parameter adaptation resolves the speed-power contradiction by adjusting operational characteristics to match actual demands.
3Use of energy by moving object
If fixed TWT parameters are negotiated, then power saving is achieved, but the system cannot adapt to changing traffic patterns
Solution Approach 1:
The patent transforms fixed TWT parameters into dynamic parameters that can be renegotiated between STA and AP based on observed traffic patterns. The system monitors communication loads, packet arrival rates, and service period utilization to determine when parameter adjustments are needed. This dynamic approach maintains power saving benefits while adding adaptability to changing traffic conditions, resolving the contradiction between parameter stability and adaptability.
Solution Approach 2:
The patent enables the TWT system to self-adjust parameters based on autonomous monitoring of traffic patterns. The STA independently analyzes its own traffic characteristics and initiates TWT parameter renegotiation with the AP when adaptation is beneficial. This self-service mechanism eliminates the need for external control while providing adaptive response to traffic changes, maintaining power efficiency while improving versatility.
Data Source
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AI summary
A wireless communication device comprising a processor configured to obtain first information on network conditions and second information on packets delivered to another communication device during a current target wake time (TWT) session, and to update a TWT service period (SP) duration for a future TWT session based on the first information and the second information.