Contention Window Size Adjustment via Feedback Scaling
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Solution Overview
Problem
Existing techniques for adjusting contention window size (CWS) in wireless communication systems do not accurately reflect the channel state, leading to potential collisions and reduced network throughput due to inadequate feedback mechanisms.
Innovation Solution
A method that involves receiving feedback signals from user equipment, determining a scaling factor based on the feedback, and using this factor to calculate a ratio for adjusting the CWS, ensuring it accurately reflects the channel quality by comparing the ratio to a threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional feedback mechanisms are used for CWS adjustment, then the adjustment process is simple, but the CWS does not accurately reflect channel state leading to collisions and reduced throughput
Solution Approach 1:
The patent implements an enhanced feedback mechanism where user equipment provides feedback signals about channel conditions, and the base station uses this feedback to dynamically adjust the contention window size. The feedback includes information about successful transmissions and channel quality, enabling more accurate CWS determination while maintaining a manageable system complexity through structured feedback formats.
Solution Approach 2:
The patent changes the parameters used for CWS adjustment by incorporating multiple feedback signals and their ratios, rather than relying on single threshold-based feedback. This involves adjusting the CWS based on the ratio of feedback signals indicating good channel conditions versus poor conditions, providing more nuanced and accurate channel state reflection.
2Productivity
If CWS is adjusted based on inaccurate feedback, then the adjustment process is fast, but collisions increase and network throughput decreases
Solution Approach 1:
The patent uses enhanced feedback mechanisms where user equipment continuously provides channel state information, and the base station adjusts CWS based on the ratio of positive to negative feedback signals. This real-time feedback loop reduces collisions by ensuring CWS accurately reflects current channel conditions, thereby improving network throughput through more efficient channel access.
3Measurement precision
If multiple feedback signals are processed with scaling factors, then CWS accuracy improves, but the computational complexity increases
Solution Approach 1:
The patent introduces scaling factors to adjust the weight of different feedback signals when calculating the CWS adjustment ratio. This allows the system to prioritize certain feedback signals over others based on their reliability or relevance, improving channel state reflection accuracy while managing computational complexity through structured parameter adjustment rather than complex algorithms.
Data Source
AI summary
Methods and apparatus for contention window size adjustment are described. A method includes: receiving a first group of feedback signals indicating a first state corresponding to data transmitted in a first band used by a carrier, the first group of feedback signals comprising at least one first feedback signal; receiving a second group of feedback signals indicating a second state corresponding to data transmitted in the first band used by the carrier; determining a first scaling factor α for one of the at least one first feedback signal; determining a ratio of the first group of feedback signals to the first group of feedback signals and the second group of feedback signals; and comparing the ratio to a threshold to determine a contention window size (CWS) of the first band, wherein the first scaling factor α substitutes a weight of the one of the at least one first feedback signal in determination of the ratio of the first group of feedback signals to the first group of feedback signals and the second group of feedback signals.