Access Point Contention Window Control for Dense MU RU Allocation
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently allocating resource units (RUs) and managing contention windows, leading to improper resource allocation and increased conflicts among stations in dense Multi-User (MU) scenarios.
Innovation Solution
A method for determining a contention window at an access point, involving the acquisition of buffer status reports and resource unit allocation status to set maximum, minimum, and reserved field values for contention windows, ensuring stations associated and unassociated select appropriate window values based on their status, using binomial distribution for conflict minimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional fixed contention window values are used, then implementation is simple, but resource allocation reasonability deteriorates and conflict possibility increases in dense MU scenarios
Solution Approach 1:
The patent implements dynamic contention window adjustment by having the access point determine maximum and minimum contention window values based on real-time buffer status reports and resource unit allocation status. The system dynamically adapts the contention window parameters according to network conditions, station buffer states, and RU availability, transforming the static fixed-value approach into a dynamic adaptive mechanism that improves resource allocation reasonability while managing complexity through structured decision-making processes
Solution Approach 2:
The patent changes the contention window parameters (maximum value, minimum value, and reserved field value) based on network conditions. The access point adjusts these parameters according to buffer status reports from stations and the current resource unit allocation status, allowing the system to optimize resource allocation and reduce conflicts by modifying key parameters rather than using fixed values
2Reliability
If contention window values are adjusted dynamically, then resource allocation reasonability improves, but system complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where the access point receives buffer status reports from stations and uses this feedback information to determine appropriate contention window parameters. The system continuously monitors network conditions, station buffer states, and resource unit allocation status, then adjusts the maximum and minimum contention window values accordingly. This feedback-driven approach enables dynamic optimization of resource allocation while maintaining manageable system complexity through structured information flow and decision-making processes
Solution Approach 2:
The system enables stations to self-adjust their contention behavior by having them report their buffer status to the access point. The access point then determines the appropriate contention window parameters and communicates them back to the stations, allowing the network to self-optimize without requiring complex centralized control or manual intervention. Each station serves itself by reporting its state and receiving appropriate parameters for its contention strategy
3Adaptability or versatility
If resource units are allocated to all stations with buffer data, then station service coverage is maximized, but resource unit conflicts increase when resources are insufficient
Solution Approach 1:
The patent applies local quality by differentiating treatment for different stations based on their buffer status and network conditions. The access point determines different maximum and minimum contention window values for stations with and without buffered data, and adjusts the reserved field value to indicate whether associated or unassociated stations should select specific window values. This localized differentiation allows the system to prioritize stations with data to transmit while managing overall conflict probability through parameter adjustment
Data Source
AI summary
The present disclosure provides a method for determining a contention window, an access point, and a station. The method for determining the contention window is performed at an access point and includes: acquiring buffer status reports of one or more stations and resource unit allocation status of the access point; and determining contention window parameters of the contention window according to the buffer status reports and the resource unit allocation status, wherein the contention window parameters include a maximum contention window value, a minimum contention window value and a reserved field value, and the reserved field value is for indicating whether stations associated and not associated with the access point select the maximum contention window value or the minimum contention window value of the contention window as a corresponding contention window value.