Software Modem Parameter Tuning on HPC for Adaptive Demodulation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing purpose-built modems lack flexibility in configuring parameters for algorithms like Forward Error Correction (FEC) iterations and interference mitigation, limiting performance optimization in high-performance computing environments.
Innovation Solution
An all software modem supported by a High-Performance Computing (HPC) platform allows dynamic adjustment of demodulator parameters, including FEC iterations and interference mitigation, with the ability to reprocess data using algorithms like Recursive Least Squares or Zero Forcing, enabling flexible configuration and operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of FEC iterations is fixed or limited by processing resources in purpose-built modems, then device complexity is reduced, but data reliability deteriorates
Solution Approach 1:
The patent implements dynamic adjustment of FEC iteration parameters based on real-time signal conditions and processing resource availability. The system transitions from fixed iteration counts to adaptive iteration control, where the number of iterations is dynamically modified according to channel quality metrics and current processor load, thereby improving data reliability without requiring permanently complex device architecture
Solution Approach 2:
The system changes operational parameters (FEC iteration count, processing throughput) based on environmental conditions and resource availability. By allowing parameter modification at runtime rather than fixing them during device design, the system achieves higher reliability when resources permit while maintaining simplicity when resources are constrained
2Adaptability or versatility
If demodulator parameters are fixed in purpose-built modems, then ease of operation is improved, but adaptability deteriorates
Solution Approach 1:
The demodulator implements self-service through automatic parameter adjustment based on signal quality detection. The system monitors received signal characteristics and autonomously modifies demodulation parameters (equalization settings, synchronization values) without requiring manual configuration, thereby achieving adaptability while maintaining ease of operation
Solution Approach 2:
The system incorporates feedback mechanisms where demodulation performance metrics are continuously monitored and used to adjust parameters in real-time. This closed-loop control enables the demodulator to adapt to changing channel conditions automatically, providing both adaptability and operational simplicity
3Productivity
If processing resources are limited in purpose-built modems, then device complexity is reduced, but productivity deteriorates
Solution Approach 1:
The system dynamically allocates processing resources based on traffic load and signal conditions. Processing throughput is adjusted in real-time according to available computational resources and channel quality, allowing the system to maximize productivity when resources are abundant while maintaining acceptable performance when resources are limited, without requiring permanently complex processing architecture
Data Source
AI summary
A method to provide flexibility on the configuration and operation of the modulator, demodulator, and modem, where purpose-built (legacy) devices are not traditionally capable of exposing a level of control and flexibly for a user or an autonomous program for optimizing performance. Providing user or programmatic control of algorithms is traditionally not possible for purpose-built modems. Parameters such as the number of decoder iterations that are performed on Forward Error Correction (FEC), Interference Mitigation algorithm, or dynamic adjustment loop bandwidth to combat phase noise can be adjusted autonomously to optimize receiver performance. The all software modem, supported by a High-Performance Computing (HPC) architecture, removes the limitation due to the flexibility of programming resources and available performance. Unlike most purpose-built hardware, the HPC allows processing resources to dynamically be reallocated, so that as additional performance is desired, the resources may be increased and decreased as required.