Wi-Fi Frame Aggregation Adjustment for Real-Time QoS
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Solution Overview
Problem
Existing Wi-Fi networks, particularly those using the 802.11n standard, face challenges in efficiently utilizing frame aggregation techniques for real-time communications due to periodic data generation and tight delay requirements, which limits the benefits of these techniques for voice and video transmissions.
Innovation Solution
Adjusting the amount of frame aggregation in Wi-Fi networks based on congestion levels, using methods like Exponential Weighted Moving Average filters to estimate congestion and adjust service intervals, allowing for increased aggregation during high congestion and reduced aggregation during low congestion to optimize data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If frame aggregation techniques are used to improve throughput, then network efficiency increases, but delay increases which worsens real-time communication performance
Solution Approach 1:
The patent implements dynamic adjustment of aggregation parameters based on real-time network conditions. The system monitors congestion levels and dynamically modifies the degree of frame aggregation and transmission timing, transitioning from static aggregation to adaptive aggregation that responds to changing network states, thereby optimizing the trade-off between throughput and delay.
Solution Approach 2:
The patent changes key parameters including aggregation level, service interval, and transmission timing based on network congestion conditions. By adjusting these parameters dynamically, the system can increase aggregation during low-congestion periods to improve throughput while reducing aggregation and latency during high-congestion periods to maintain real-time communication quality.
2Use of energy by moving object
If aggregation service interval is increased to reduce contention overhead, then power consumption decreases, but delay increases which affects real-time communication quality
Solution Approach 1:
The system dynamically adjusts the aggregation service interval based on real-time congestion monitoring. During low-congestion periods, longer service intervals are used to reduce contention overhead and power consumption. During high-congestion periods, the service interval is shortened to minimize delay, ensuring real-time communication requirements are met while still providing power savings when conditions permit.
Solution Approach 2:
The patent implements feedback mechanisms where the system monitors network congestion levels and uses this information to adjust aggregation parameters. The congestion level feedback loop enables the system to adaptively optimize the service interval, balancing power consumption and delay based on actual network conditions rather than using fixed intervals.
3Device complexity
If fixed aggregation parameters are used to simplify implementation, then device complexity decreases, but adaptability to different network conditions worsens
Solution Approach 1:
The patent implements self-service mechanisms where the wireless devices autonomously monitor network congestion and adjust their own aggregation parameters without requiring complex centralized control. Each device independently makes decisions based on local observations, simplifying the overall system architecture while maintaining high adaptability to varying network conditions.
Solution Approach 2:
The system uses feedback from congestion monitoring to automatically adjust aggregation parameters. This closed-loop control enables the system to adapt to different network conditions without requiring manual configuration or complex decision-making logic, achieving both simplicity and adaptability through automated feedback-driven parameter adjustment.
Data Source
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AI summary
In order to allow an efficient use of data or frame aggregation techniques with real-time communications a method for operating a wireless network, especially a Wi-Fi technology based network, is claimed, wherein the network is comprising at least one wireless device for transmission of data and wherein the device may use a data or frame aggregation technique to provide an adjustable amount of aggregation. The method is characterized in that the amount of aggregation provided by the aggregation technique will be adjusted depending on a level of congestion in the network. Further, an according wireless network is claimed, preferably for carrying out the above mentioned method.