Link State Discriminant for Wireless Resource Provisioning

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Solution Overview

Problem

Existing wireless communication systems face challenges in optimizing resource allocations for wireless stations (STAs) due to the variability in their availability, leading to suboptimal performance in control loops.

Innovation Solution

The implementation of link state discriminants (LSDs), such as link residency metrics (LRMs) and time coherency metrics (TCMs), allows access points (APs) to monitor and utilize the availability information of STAs to optimize resource provisioning and allocation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Use of energy by moving object

If STAs use power save mode to reduce energy consumption, then energy efficiency improves, but control loop convergence deteriorates due to variability in STA availability

Engineering Contradiction:

Improveenergy consumption of STAVSAvoidcontrol loop convergence

Core Design Contradiction:

Use of energy by moving objectVSReliability

Solution Approach 1:

The AP performs preliminary actions by provisioning resources in advance based on predicted STA availability patterns. The system uses historical power management information to predict future awake states and pre-allocates resources accordingly, so that when the STA wakes up, resources are already prepared and control loop convergence is maintained without waiting for real-time feedback.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system dynamically adjusts resource provisioning based on changing STA availability states. The AP continuously monitors power management information and adapts resource allocations in real-time according to the STA's current state (awake or power save mode), allowing the control loop to remain effective despite dynamic changes in STA availability.

Inventive Principle:

Principle #15Dynamics

2Use of energy by moving object

If STAs frequently switch between awake state and power save mode, then energy efficiency improves, but resource allocation optimization deteriorates due to insufficient convergence time

Engineering Contradiction:

Improveenergy efficiency of STAVSAvoidresource allocation optimization

Core Design Contradiction:

Use of energy by moving objectVSProductivity

Solution Approach 1:

The system provisions resources in advance based on predicted STA behavior patterns. By analyzing historical power management information, the AP can predict when a STA will wake up and prepare resources beforehand, eliminating the need for lengthy convergence periods and maintaining high resource allocation efficiency despite frequent state transitions.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The AP utilizes feedback from power management information carried in packets to continuously refine resource provisioning decisions. This feedback mechanism allows the system to learn from past STA behavior and improve future resource allocations, maintaining optimization even when STAs frequently switch states.

Inventive Principle:

Principle #23Feedback

3Measurement precision

If the AP waits for feedback from STAs to optimize resource allocations, then allocation accuracy improves, but convergence time increases due to STA unavailability during power save mode

Engineering Contradiction:

Improveresource allocation accuracyVSAvoidcontrol loop convergence time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

Instead of waiting for feedback, the system takes preliminary action by provisioning resources in advance based on predicted STA availability. The AP uses historical power management information to forecast when STAs will be awake and prepares resource allocations beforehand, achieving both accuracy and speed without requiring real-time feedback from potentially unavailable STAs.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system introduces an intermediary mechanism that processes power management information to infer STA availability patterns. This intermediary layer allows the AP to make informed resource provisioning decisions without direct real-time feedback from STAs, bridging the information gap created by power save mode operations.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250184807A1Link state discriminant

Publication Date: 2025.06.05 QUALCOMM INC

AI summary

This disclosure provides methods, devices and systems for provisioning resources for wireless communication. Some implementations more specifically relate to provisioning resources based on link state discriminants (LSDs). In some aspects, an LSD may indicate an average amount of time a respective station (STA) is in an awake state. In such aspects, an access point (AP) may prioritize communication with specific STAs, or over specific links, based on the LSDs. In some other aspects, an LSD may indicate an average amount of time all STAs associated with an AP are in an awake state. In such aspects, the AP may dynamically reduce power consumption based on the LSDs. Still further, in some aspects, an LSD may indicate an average amount of time two or more STAs are concurrently in an awake state on a given link. In such aspects, an AP may assign STAs to multi-user groups based on the LSDs.