ACM Trajectory Control Using Decoder Iterations and SNR Thresholds

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Solution Overview

Problem

Current communication systems, particularly in satellite communications, face challenges in dynamically adapting modulation and coding schemes to varying channel conditions, leading to suboptimal performance and capacity utilization.

Innovation Solution

A communication apparatus and method that estimates the Signal-to-Noise Ratio (SNR) based on header information, adjusts MODCOD selection by tracking iterations, and updates ACM trajectory tables to select optimal modulation and coding schemes, ensuring efficient data transmission by requesting higher MODCODs when necessary and maintaining hysteresis to prevent premature adjustments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the system dynamically adjusts MODCOD based on SNR conditions, then communication capacity and reliability are improved, but system complexity increases due to continuous monitoring and adjustment mechanisms

Engineering Contradiction:

Improvecommunication reliabilityVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system dynamically adjusts MODCOD selection based on real-time SNR conditions by maintaining trajectory tables that map SNR values to optimal MODCOD combinations. The software processor continuously monitors SNR and selects appropriate MODCOD from the trajectory table, enabling adaptive optimization without manual intervention while managing complexity through algorithmic automation

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements feedback mechanisms by monitoring decoder iteration counts and using this information to adjust SNR threshold values in the trajectory table. When iteration counts indicate suboptimal performance, the system feeds back adjusted threshold values to refine future MODCOD selections, creating a self-optimizing loop that improves reliability while automating the adjustment process

Inventive Principle:

Principle #23Feedback

2Productivity

If the system uses higher MODCOD for better capacity utilization, then data transmission efficiency improves, but error rate increases under poor channel conditions

Engineering Contradiction:

Improvedata transmission efficiencyVSAvoiderror rate

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system changes multiple parameters simultaneously - selecting both the modulation scheme and coding rate (MODCOD) based on SNR conditions. The trajectory table stores pre-calculated optimal MODCOD combinations for different SNR ranges, allowing the system to adjust both modulation order and code rate together to maximize capacity while maintaining acceptable error rates for each channel condition

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system dynamically switches between different MODCOD combinations based on real-time SNR measurements. During good channel conditions, higher order modulations and faster code rates are selected to maximize throughput. When channel conditions deteriorate, the system automatically transitions to more robust lower-order modulations and slower code rates, maintaining reliability while adapting to changing conditions

Inventive Principle:

Principle #15Dynamics

3Adaptability or versatility

If the system frequently adjusts ACM trajectory to adapt to channel changes, then adaptability improves, but system stability deteriorates due to premature adjustments

Engineering Contradiction:

Improvechannel adaptabilityVSAvoidsystem stability

Core Design Contradiction:

Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The system applies preliminary anti-action by implementing hysteresis in the trajectory adjustment mechanism. Before triggering an ACM trajectory change, the system checks whether the SNR has remained outside the current threshold for a sufficient duration, preventing adjustments due to transient fluctuations. This anticipatory filtering of adjustment triggers maintains stability while preserving necessary adaptability to genuine channel changes

Inventive Principle:

Principle #9Preliminary anti-action

4Productivity

If the system monitors decoder iterations to optimize MODCOD selection, then performance optimization improves, but computational overhead increases

Engineering Contradiction:

Improveperformance optimizationVSAvoidcomputational overhead

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The system implements self-service by automatically monitoring decoder iteration counts and using this information to adjust SNR threshold values without external intervention. The software processor autonomously reads iteration counts, compares them against expected ranges, and updates the trajectory table accordingly, enabling performance optimization through self-measurement and self-adjustment while minimizing the need for additional control infrastructure

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS11277221B2Optimized ACM trajectory systems and methods

Publication Date: 2022.03.15 HUGHES NETWORK SYST

AI summary

Systems and methods for ACM trajectory include receiving data at a communications receiver; decoding the received data based on a selected MODCOD; monitoring a number of iterations used to decode the data using the selected MODCOD; comparing the number of iterations used to decode the data using the first selected MODCOD to a reference number of iterations; and adjusting a SNR threshold value for the selected MODCOD where the number of iterations used to decode the data using the first selected MODCOD is greater than the reference number of iterations.