Ground Digital Precoding for Hybrid Satellite Networks
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Solution Overview
Problem
Current satellite communication systems face challenges in managing interference and ensuring reliable signal-to-interference-plus-noise ratio (SINR) due to uncertainties in feeder link transmission and channel estimation, particularly in multibeam satellite communications, where existing models assume noiseless conditions and do not account for actual SINR dynamics.
Innovation Solution
The method involves adaptive precoding at the ground terminal to calculate and adjust the SINR by predicting network congestion and using a precoding matrix adjustment formula to achieve desired SINR levels, incorporating minimal-cost-variance control and reinforcement learning to mitigate interference and optimize resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If frequency reuse patterns are employed in multibeam satellite communications, then bandwidth efficiency is improved, but co-channel interference increases
Solution Approach 1:
The patent implements feedback mechanisms where the satellite measures actual SINR values from user terminals and feeds this information back to the ground gateway. The gateway then adjusts precoding matrices based on this feedback to dynamically mitigate co-channel interference while maintaining frequency reuse patterns, thus resolving the contradiction between bandwidth efficiency and interference management.
Solution Approach 2:
The system dynamically changes precoding matrix parameters at the ground gateway based on measured SINR conditions. By adjusting the precoding weights and phases, the system optimizes signal delivery to specific beams while suppressing interference from other beams, enabling frequency reuse without being constrained by fixed interference patterns.
2Object-affected harmful factors
If adaptive digital precoding is implemented at the ground gateway, then co-channel interference is mitigated, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary feedback channel between the satellite and ground gateway that carries measured SINR values. This intermediary mechanism enables the ground gateway to perform adaptive precoding without requiring complex real-time coordination with the satellite, as the satellite simply measures and reports actual channel conditions, simplifying the overall system architecture while maintaining interference mitigation capabilities.
3Device complexity
If existing beam models are used that assume noiseless feeder links, then model simplicity is maintained, but accuracy in predicting actual SINR deteriorates
Solution Approach 1:
The system employs self-service measurement where the satellite itself measures the actual SINR values experienced by user terminals in each beam. These measurements are then fed back to the ground gateway, eliminating the need for complex theoretical models. The system uses actual empirical data from the network itself to guide precoding decisions, ensuring high accuracy while keeping the measurement process simple and distributed.
Data Source
AI summary
A method of precoding the power of a channel of a ground terminal in communication with a satellite. The ground terminal is subject to limitations in terrestrial mobile network rates and other congestion conditions. An actual signal-to-interference-plus-noise ratio is calculated and adjusted according to a desired signal-to-interference-plus-noise ratio for a predetermined time epoch. The actual signal-to-interference-plus-noise ratio is adjusted while considering the competing requirements of both: the energy of the difference between the successive actual/desired signal-to-interference-plus-noise ratio levels and the energy of the control sequences. The actual signal-to-interference-plus-noise ratio is autonomously converged with the desired with the signal-to-interference-plus-noise ratio, subject to the limitations in terrestrial mobile network rates and other congestion conditions, by dynamically minimizing covariance error and predicting gain for the epoch.