Differential SNR Rate Adaptation for Wireless Data Loss

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Solution Overview

Problem

Existing wireless network technologies often result in unfavorable user experiences due to data loss, as they typically decrease transmission rates in response to packet loss, which can exacerbate issues without identifying the underlying cause, such as poor link quality or contention.

Innovation Solution

Implementing differential signal-to-noise ratio (DSNR) based rate adaptation methods that determine the cause of packet loss through SNR measurements, allowing for probabilistic adjustments in transmission rates to minimize data loss, including maintaining or increasing rates in cases of contention to prevent channel congestion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If transmission rate is decreased in response to packet loss, then data loss is reduced, but transmission efficiency deteriorates and user experience worsens

Engineering Contradiction:

Improvedata lossVSAvoidtransmission efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent changes the parameter of transmission rate adaptation from uniform rate decrease to differential rate adaptation based on SNR conditions. When SNR is above threshold, rate is maintained or increased; when below threshold, rate is decreased. This resolves the contradiction by avoiding unnecessary rate decreases that harm transmission efficiency while still reducing data loss when needed.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent implements feedback mechanism using SNR measurements to determine appropriate rate adaptation actions. The system continuously monitors SNR and adjusts transmission rate accordingly, creating a closed-loop control that resolves the contradiction between reliability and productivity by making informed adaptation decisions rather than reactive uniform decreases.

Inventive Principle:

Principle #23Feedback

2Reliability

If transmission rate is uniformly decreased for all clients, then data loss is reduced, but network throughput deteriorates

Engineering Contradiction:

Improvedata lossVSAvoidnetwork throughput

Core Design Contradiction:

ReliabilityVSPower

Solution Approach 1:

The patent applies local quality by differentiating rate adaptation actions based on individual client SNR conditions. Each client receives customized rate treatment according to their specific link quality, rather than uniform treatment. This resolves the contradiction by maintaining throughput for clients with good SNR while protecting against data loss for clients with poor SNR.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent segments the client population into different groups based on SNR thresholds and applies different rate adaptation strategies to each segment. This segmentation allows the system to optimize for both reliability (protecting data loss) and throughput (maintaining network capacity) by treating different client groups differently.

Inventive Principle:

Principle #1Segmentation

3Device complexity

If rate adaptation is implemented without identifying cause of packet loss, then implementation complexity is reduced, but adaptation effectiveness deteriorates

Engineering Contradiction:

Improverate adaptation implementationVSAvoiddata loss minimization

Core Design Contradiction:

Device complexityVSReliability

Solution Approach 1:

The patent substitutes complex multi-parameter analysis with a simpler SNR-based mechanism. Instead of analyzing multiple causes of packet loss (channel conditions, interference, protocol issues), the system uses SNR as a proxy indicator that captures link quality, providing sufficient information for effective rate adaptation without the complexity of comprehensive cause analysis.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the approach from analyzing multiple causal parameters to focusing on a single key parameter (SNR) that correlates with link quality. This parameter simplification maintains adaptation effectiveness while significantly reducing implementation complexity.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS8958334B2Differential signal-to-noise ratio based rate adaptation

Publication Date: 2015.02.17 FORTINET INC

AI summary

Systems and methods for implementing a differential signal to noise ratio (DSNR) based rate adaptation for wireless networks are disclosed. The described methods probabilistically adapt the rate of data transmission based on an assessment of the causes of data loss. The described methods include determining a DSNR for data transmission during a predetermined window of time and adapting the transmission rate in a probabilistic manner responsive to the differential SNR and a differential SNR threshold for the data transmission.