Adaptive Satellite Return Link Symbol Rate Control
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Solution Overview
Problem
Conventional satellite communications systems lack a mechanism for adaptively determining the maximum symbol rate for user terminals, leading to suboptimal upload speeds and potential amplifier saturation, as symbol rates are typically chosen in a non-adaptive, hard-coded manner.
Innovation Solution
A method and system that dynamically determine the maximum symbol rate by assigning transmission opportunities at varying rates, assessing message reception errors and amplifier operation regions, adjusting symbol rates to ensure reliable communication and prevent amplifier saturation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a higher symbol rate is used on the return link channel, then end user upload speeds are improved, but transmit power requirements increase and error performance deteriorates
Solution Approach 1:
The system dynamically adjusts the symbol rate based on measured error performance and amplifier operating conditions. The gateway monitors message errors and amplifier saturation indicators, then adaptively changes the symbol rate assignment to optimize both speed and reliability in real-time conditions
Solution Approach 2:
The gateway receives feedback from user terminals about message transmission errors and amplifier operating status. This feedback loop enables the gateway to determine whether to increase or decrease symbol rates, balancing upload speed improvements against error performance degradation
2Productivity
If a higher symbol rate is used on the return link channel, then end user upload speeds are improved, but amplifier transmit power requirements increase
Solution Approach 1:
The system dynamically adjusts the symbol rate based on measured error performance and amplifier operating conditions. The gateway monitors message errors and amplifier saturation indicators, then adaptively changes the symbol rate assignment to optimize both speed and reliability in real-time conditions
Solution Approach 2:
The system changes the symbol rate parameter based on amplifier power capabilities and error performance measurements. By adjusting this key parameter, the system optimizes the balance between upload speed and transmit power requirements
3Device complexity
If a non-adaptive, hard-coded symbol rate is used, then device complexity is reduced, but adaptability to different user terminal conditions deteriorates
Solution Approach 1:
The gateway automatically determines optimal symbol rates for each user terminal based on real-time measurements of error performance and amplifier conditions. This self-service approach eliminates the need for manual configuration while enabling adaptation to varying user terminal conditions
Solution Approach 2:
The gateway receives feedback from user terminals about message transmission errors and amplifier operating status. This feedback loop enables the gateway to determine whether to increase or decrease symbol rates, balancing upload speed improvements against error performance degradation
Data Source
AI summary
A method for determining a maximum symbol rate of a return communication link includes: assigning transmission opportunities at a current symbol rate equal to a first symbol rate to the user terminal; receiving a plurality of messages during the assigned transmission opportunities at the current symbol rate from the user terminal; first determining if a number of messages incorrectly received is less than a threshold number of incorrect messages and second determining if a power amplifier of the user terminal is operating in a linear region; if the number of messages incorrectly received is less than the threshold number and if the power amplifier is operating in the linear region, assigning a channel at the current symbol rate to the user terminal as a home channel for the user terminal; and otherwise, repeating at an updated current symbol rate.