Multi-AP Channel Sharing for Low-Latency Wireless Access
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Solution Overview
Problem
Existing wireless communication systems face challenges in achieving low latency and efficient resource allocation, particularly in environments with multiple access points, leading to inefficiencies in channel resource distribution and increased latency in latency-sensitive applications.
Innovation Solution
Implementing a collaborative multi-AP (CoMAP) architecture that coordinates channel resource allocation across overlapping Basic Service Sets (BSS) and provides latency guidance and feedback to access points, allowing for improved multiplexed access and efficient distribution of resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resource allocation is performed based on current channel conditions and queue status, then resource allocation efficiency is improved, but latency increases due to measurement and decision time
Solution Approach 1:
The system performs preliminary actions by allocating resources based on predicted future channel conditions and queue status rather than waiting for real-time measurements. The base station predicts future channel state information and uses these predictions to make resource allocation decisions in advance, thereby reducing latency while maintaining allocation efficiency.
Solution Approach 2:
The system dynamically adjusts the prediction time horizon and allocation parameters based on current network conditions. The base station continuously updates predictions based on historical data and adapts the resource allocation strategy in real-time, allowing the system to balance between prediction accuracy and latency requirements under varying network conditions.
2Measurement precision
If channel state information is obtained through extensive sensing and measurement, then channel conditions are accurately known, but processing time and latency increase
Solution Approach 1:
The system performs channel condition sensing and measurement in advance during idle or low-traffic periods, storing the historical data for later use. This preliminary data collection allows the base station to make accurate predictions about future channel conditions without requiring extensive real-time sensing, thereby reducing processing time while maintaining measurement precision.
Solution Approach 2:
The system creates a virtual copy of future channel conditions through prediction models that replicate actual channel behavior based on historical patterns. Instead of directly measuring future channels (which is impossible), the system uses predictive algorithms to generate accurate representations of future channel states, reducing the need for continuous extensive measurement.
3Loss of time
If resource allocation decisions are made quickly with limited information, then latency is reduced, but allocation accuracy and efficiency deteriorate
Solution Approach 1:
The system prepares and stores historical channel state information and queue status data in advance, creating a knowledge base that can be quickly queried during decision-making. This preliminary preparation allows the base station to make accurate allocation decisions rapidly by retrieving relevant historical patterns rather than performing complex real-time analysis, thereby reducing decision time while maintaining accuracy.
Solution Approach 2:
The system implements feedback mechanisms where allocation decisions are continuously monitored and the outcomes are fed back into the prediction models. This feedback loop allows the system to learn from actual performance and improve future predictions, enabling accurate allocation decisions even with limited real-time information by leveraging refined historical data and pattern recognition.
Data Source
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AI summary
The subject disclosure provides systems and methods for improved medium access for wireless communication. A wireless access point, on contending for and gaining medium access, may share a time and/or bandwidth channel resource with one or more other wireless access points and/or one or more client devices. The wireless access point can efficiently share the channel resource using buffer status information computed by the wireless access point and/or additional buffer status information computed by the one or more other wireless access points. In one or more implementations, latency information for buffered data can be provided from a client device to a wireless access point and/or from a satellite wireless access point to a control wireless access point.