Wireless Station Power Save Delivery Mechanism Adaptation
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Solution Overview
Problem
Current wireless LAN (WLAN) systems face inefficiencies in power management due to the use of default power save delivery mechanisms that do not adapt to varying traffic patterns, leading to suboptimal balance between power consumption and performance.
Innovation Solution
Implementing a method where wireless stations dynamically select power save delivery mechanisms based on the access category of frames, using unscheduled automatic power save delivery (UAPSD) for periodic traffic and legacy power save delivery for burst-type traffic, optimizing power consumption and performance by aligning with expected traffic patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a default power save delivery mechanism is used for all traffic, then device complexity is reduced, but power consumption efficiency deteriorates due to inability to adapt to varying traffic patterns
Solution Approach 1:
The patent applies dynamics by enabling the wireless station to dynamically switch between different power save delivery mechanisms (legacy and UAPSD) based on real-time traffic pattern detection. The system transitions from a static default mechanism to a dynamic adaptive mechanism that adjusts its behavior according to whether traffic is periodic or burst-type, thereby improving power consumption efficiency without excessive complexity increase.
Solution Approach 2:
The patent changes the operational parameters of the power save mechanism by selecting different delivery mechanisms based on traffic characteristics. When periodic traffic is detected, the system switches to UAPSD mode with corresponding power save parameters; when burst-type traffic is detected, it uses legacy power save mode. This parameter adaptation resolves the contradiction by optimizing power efficiency for each traffic type.
2Use of energy by moving object
If unscheduled automatic power save delivery (UAPSD) is used for periodic traffic, then power consumption is optimized, but device complexity increases due to dynamic mechanism selection
Solution Approach 1:
The wireless station performs self-service by autonomously detecting its own traffic patterns and selecting the appropriate power save delivery mechanism without requiring external control or complex centralized management. The station monitors its queued frames, identifies whether traffic is periodic or burst-type, and independently switches between UAPSD and legacy modes, thereby optimizing power consumption with minimal additional complexity.
Solution Approach 2:
The system implements feedback by continuously monitoring the traffic pattern of queued frames and using this information to adjust the power save delivery mechanism. The station detects whether new frames belong to an existing periodic stream or represent burst-type traffic, and accordingly switches between UAPSD and legacy modes. This feedback loop enables efficient power management with adaptive complexity only when needed.
3Adaptability or versatility
If legacy power save delivery is used for burst-type traffic, then adaptability to traffic patterns is improved, but power consumption efficiency deteriorates during low traffic periods
Solution Approach 1:
The patent applies local quality by applying different power save delivery mechanisms to different types of traffic locally at the wireless station. Instead of using a single mechanism for all traffic, the system identifies periodic traffic streams and applies UAPSD specifically to them, while using legacy power save for burst-type traffic. This localized adaptation optimizes power consumption for each traffic type independently.
Solution Approach 2:
The patent segments the traffic flow into different categories (periodic vs. burst-type) based on traffic pattern detection. By dividing the traffic into distinct segments with different characteristics, the system can apply appropriate power save mechanisms to each segment, thereby improving overall power consumption efficiency while maintaining adaptability to various traffic patterns.
4Use of energy by moving object
If dynamic selection of power save delivery mechanisms is implemented, then power consumption efficiency is optimized, but device complexity increases
Solution Approach 1:
The wireless station performs self-service by autonomously detecting its own traffic patterns and selecting the appropriate power save delivery mechanism without requiring external control or complex centralized management. The station monitors its queued frames, identifies whether traffic is periodic or burst-type, and independently switches between UAPSD and legacy modes, thereby optimizing power consumption with minimal additional complexity.
Solution Approach 2:
The patent applies dynamics by enabling the wireless station to dynamically switch between different power save delivery mechanisms (legacy and UAPSD) based on real-time traffic pattern detection. The system transitions from a static default mechanism to a dynamic adaptive mechanism that adjusts its behavior according to whether traffic is periodic or burst-type, thereby improving power consumption efficiency without excessive complexity increase.
Data Source
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AI summary
Embodiments of the invention provide devices, systems and methods of selecting one or more power save parameters of a wireless device according to an expected traffic pattern. For example, a method according to embodiments of the invention includes selecting either an automatic power save delivery mechanism or a legacy power save delivery mechanism for transmitting a frame based on an access category of the frame to be transmitted. A method according to embodiments of the invention may include switching the delivery mechanism from an automatic power save delivery mechanism to a legacy power save delivery mechanism for access categories that are both trigger- and delivery- enabled if the access category indicates that burst-type traffic is expected. Other features are described and claimed.