Access Point Session Parameter Optimization for Wi-Fi Power Save
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Solution Overview
Problem
Current wireless communications networks, such as those using the WiFi 6 standard, do not effectively optimize session parameters for multiple Target Wake Time (TWT) sessions, leading to potential overlap of session periods and resulting in stations never entering sleep mode, thus failing to achieve intended power savings.
Innovation Solution
The access point (AP) in these networks is configured to optimize session parameters, including start time, wake duration, and wake interval, to ensure non-overlapping Target Beacon Transmission Time (TBTT) frames, calculating session period offsets to minimize total wake time and align session periods, thereby increasing power save efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple TWT sessions are established without optimizing session parameters, then stations can maintain multiple communication connections, but session periods may overlap causing stations to never enter sleep mode
Solution Approach 1:
The access point performs preliminary optimization of session parameters before sessions are established. The AP calculates optimized session parameters including adjusted wake intervals and offset values to ensure non-overlapping session periods, allowing stations to enter sleep mode between sessions while maintaining multiple active connections.
Solution Approach 2:
The access point modifies session parameters such as wake interval, offset value, and session timing to optimize power save efficiency. By changing these parameters dynamically, the system ensures that multiple TWT sessions do not overlap and that stations can efficiently transition between sleep and active states.
2Ease of manufacture
If session parameters are not optimized to align TBTT frames, then session setup is simple, but stations cannot minimize total wake time
Solution Approach 1:
The access point performs preliminary calculation of optimized session parameters during the session setup phase. By pre-calculating the optimal timing and alignment of TBTT frames, the system minimizes total wake time without complicating the session establishment process.
Solution Approach 2:
The access point monitors and adjusts session parameters based on actual network conditions and station requirements. This feedback mechanism ensures that session timing is optimized to minimize wake time while maintaining simplicity in session setup.
3Reliability
If stations wake up frequently to check for sessions, then communication reliability is maintained, but power consumption increases
Solution Approach 1:
The access point implements periodic wake intervals that are optimized to balance communication reliability with power savings. Stations wake up at predetermined intervals to check for scheduled sessions, then can return to sleep mode, maintaining reliable communication while minimizing power consumption.
Solution Approach 2:
Stations autonomously manage their wake and sleep cycles based on the optimized session parameters provided by the access point. The stations self-regulate their wake-up timing to maintain communication reliability without unnecessary power consumption.
Data Source
AI summary
Systems and methods are provided for increasing power save efficiency of stations within a wireless communications network. An access point (AP) can receive one or more session requests to establish a session from a station, each session request including one or more requested session parameters. The AP can set the session parameters to ensure that a session period of each requested session does not overlap two or more target beacon transmission time (TBTT) frames. The AP can merge two or more session periods of the one or more sessions by calculating a session period offset to align the end time of two or more session periods. Merging the two or more session periods minimizes the total wake time of the station.