High Throughput Satellite Dynamic Color Reuse for Spectrum Efficiency
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Solution Overview
Problem
Conventional high throughput satellite (HTS) systems face challenges in balancing spectrum demand and interference, leading to limited bandwidth allocation and reduced spectrum efficiency due to fixed color re-use patterns, which do not adapt to changing demand and interference levels over time.
Innovation Solution
The satellite operates in multiple modes, adjusting color re-use patterns and employing intra-beam geographic sub-division and precoding based on spectrum fill rate thresholds to dynamically manage bandwidth and interference, transitioning between different operating phases to optimize throughput and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a high number of colors is used in color re-use pattern, then inter-beam interference is reduced, but bandwidth allocated to each spot beam is limited
Solution Approach 1:
The system dynamically adjusts the color re-use pattern based on real-time spectrum fill rate measurements. When spectrum demand increases (high fill rate), the system transitions from high-color patterns (e.g., 8-color) to low-color patterns (e.g., 2-color) to allocate more bandwidth per beam. Conversely, when demand is low, it uses high-color patterns to minimize interference, thus making the color re-use pattern dynamic rather than fixed
Solution Approach 2:
The system changes the parameter of color re-use pattern (number of colors) based on spectrum fill rate conditions. By monitoring bandwidth utilization and adjusting the color pattern accordingly, the system optimizes the trade-off between interference reduction and bandwidth allocation, allowing each beam to receive appropriate bandwidth based on actual demand
2Quantity of substance
If a low number of colors is used in color re-use pattern, then bandwidth available to each spot beam is improved, but inter-beam interference increases
Solution Approach 1:
The system employs dynamic adjustment of color re-use patterns based on spectrum fill rate. When fill rate is low, it uses low-color patterns (e.g., 2-color) to maximize bandwidth per beam. When fill rate increases and interference becomes problematic, it transitions to high-color patterns (e.g., 8-color) to reduce interference, creating a dynamic response to changing conditions
Solution Approach 2:
The system changes the color re-use pattern parameter in response to spectrum demand conditions. By monitoring bandwidth utilization and adjusting the number of colors accordingly, the system optimizes the balance between bandwidth allocation and interference management based on actual operational needs
3Ease of operation
If a fixed color re-use pattern is used, then system operation is simplified, but spectrum efficiency is reduced due to inability to adapt to changing demand
Solution Approach 1:
The system implements a feedback mechanism by continuously monitoring spectrum fill rate and using this information to adjust the color re-use pattern. This closed-loop control allows the system to automatically adapt to changing spectrum demand, optimizing spectrum efficiency without requiring complex manual reconfiguration, thus maintaining operational simplicity while improving productivity
Solution Approach 2:
The system performs self-adjustment of color re-use patterns based on its own monitoring of spectrum fill rate. By autonomously detecting bandwidth utilization and selecting appropriate color patterns, the system eliminates the need for external intervention or complex manual management, achieving both operational simplicity and improved spectrum efficiency through self-service optimization
Data Source
AI summary
A high throughput satellite and a method of operating a high throughput satellite. The satellite has multiple modes of operation and transitions between them in response to the spectrum fill rate. Modes of operation may include altering color re-use patterns to increase or reduce number of colors, using intra-beam geographic sub-division, or precoding downlink signals.