Wi-Fi Block Acknowledgment Feedback for Interference-Aware PER Estimation
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Solution Overview
Problem
Current Wi-Fi communication systems face challenges in accurately selecting transmit parameters due to the simultaneous impact of interference and noise, leading to conservative settings and reduced air interface transmission rates.
Innovation Solution
A communication method where a receiver feeds back interference information to a transmitter, allowing for improved accuracy in collecting packet error rate statistics by considering interference impacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the transmitter selects transmit parameters based on SINR without interference information, then the selection process is simple, but the packet error rate statistics accuracy is low
Solution Approach 1:
The receiver measures interference signal strength and feeds back interference information to the transmitter through the BA frame. This feedback mechanism enables the transmitter to obtain accurate interference data without increasing overall system complexity, as the feedback utilizes existing acknowledgment channel resources.
Solution Approach 2:
The interference information acts as an intermediary parameter that bridges the gap between receiver-side interference measurement and transmitter-side parameter selection. By introducing this intermediate feedback element, the system achieves accurate PER statistics without requiring direct complex interaction between transmitter and receiver for interference measurement.
2Reliability
If the transmitter uses conservative transmit parameter selection (low MCS), then the packet error rate is reduced, but the air interface transmission rate decreases
Solution Approach 1:
The transmit parameter selection transitions from static conservative choices to dynamic adaptive selection. The transmitter dynamically adjusts MCS and other parameters based on real-time interference information feedback, allowing optimal balance between reliability and transmission rate under varying interference conditions.
Solution Approach 2:
The system changes transmit parameters (MCS, power, etc.) based on interference information. When interference is high, conservative parameters are selected; when interference is low, aggressive parameters improve throughput. This parameter adaptation resolves the contradiction between reliability and productivity.
3Measurement precision
If the transmitter cannot sense interference impact on the receiver, then the system operation is simple, but the transmit parameter selection accuracy is poor
Solution Approach 1:
Instead of the transmitter attempting to sense interference at the receiver location (which is difficult), the solution inverts the approach: the receiver measures interference locally and reports it back to the transmitter. This inversion makes interference measurement feasible and accurate.
Data Source
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AI summary
Embodiments of this application provide a communication method and a related apparatus. The communication method includes: receiving a wireless fidelity Wi-Fi data frame from a transmitter; and sending a block acknowledgment frame to the transmitter, where the block acknowledgment frame includes interference information of the Wi-Fi data frame. In embodiments of this application, the transmitter takes the interference information fed back by a receiver into consideration, thereby improving accuracy of a packet error rate.