Adaptive Frame Aggregation for Wireless Throughput Optimization
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Solution Overview
Problem
Conventional frame aggregation schemes in wireless communications are significantly affected by channel conditions, leading to reduced throughput, increased retransmission overhead, and inefficiencies in retransmitting lost sub-frames due to fluctuating aggregation levels.
Innovation Solution
An adaptive frame aggregation system that estimates channel conditions using metrics like bit error rate and selects appropriate aggregation schemes, such as two-level aggregation or A-MPDU schemes, to optimize frame aggregation and retransmission based on these conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional frame aggregation schemes are used, then throughput can be increased by aggregating multiple frames, but performance is significantly degraded when channel conditions are poor due to retransmission overhead
Solution Approach 1:
The patent implements dynamic frame aggregation by adjusting the aggregation level based on channel conditions. The system transitions from static conventional aggregation to adaptive aggregation where the aggregation factor is modified in response to channel quality feedback, allowing the system to maintain high throughput when conditions are good and reduce aggregation when conditions deteriorate, thus resolving the contradiction between maximizing throughput and maintaining reliability
Solution Approach 2:
The patent changes the aggregation parameter dynamically based on channel conditions. By modifying the aggregation factor (number of frames aggregated together) according to measured channel quality, the system optimizes throughput while adapting to varying reliability conditions, directly addressing the technical contradiction
2Productivity
If frame aggregation is used to increase throughput, then retransmission overhead increases when transmission errors occur
Solution Approach 1:
The patent employs feedback mechanisms where channel quality information is measured and used to adjust the aggregation level. This feedback loop allows the system to reduce aggregation when error rates increase, thereby reducing retransmission overhead while maintaining throughput optimization, directly resolving the contradiction between throughput and retransmission overhead
Solution Approach 2:
The system dynamically adjusts the aggregation factor based on real-time channel conditions, transitioning from fixed aggregation to adaptive aggregation. This dynamic adjustment reduces retransmission overhead by lowering aggregation levels when channel quality degrades, while maintaining high throughput when conditions are favorable
3Productivity
If high aggregation levels are used to maximize throughput, then delay increases due to larger aggregated frames
Solution Approach 1:
The patent implements dynamic adjustment of aggregation levels based on channel conditions and quality requirements. By reducing aggregation levels when delay sensitivity increases or channel quality decreases, the system balances throughput maximization with delay reduction, resolving the contradiction between these two performance metrics
Data Source
AI summary
A method for transmitting an aggregated frame is disclosed. The method includes: estimating channel condition; comparing the channel condition with first threshold for selecting an aggregation scheme; and comparing the channel condition with second threshold, which is different with the first threshold, for selecting an aggregation scheme; performing the aggregation using the selected aggregation scheme with position information, which indicates the positions of sub-frame in the aggregated frame.