Multi-Band Satellite Load Balancing Under Rain Attenuation
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Solution Overview
Problem
Existing satellite communication systems face challenges in efficiently managing multi-band capable terminals due to varying rain attenuation properties, beam overlapping, and differing capacity and attenuation across frequency bands, which affect load balancing and throughput.
Innovation Solution
Implementing a multi-band hybrid satellite communication system with load balancing algorithms that adjust terminal operations based on congestion levels, probability metrics, and bandwidth management to optimize load distribution across different frequency bands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If satellite terminals operate in multiple frequency bands to increase capacity and throughput, then system throughput is improved, but system complexity increases due to varying rain attenuation properties and beam overlapping
Solution Approach 1:
The patent segments the frequency spectrum into multiple bands (Ka-band and Q-band) with distinct characteristics. Each band is managed separately with its own code rate organizers (CROs), allowing independent load balancing and rain attenuation compensation. This segmentation enables the system to handle multi-band complexity by processing each band through dedicated mechanisms rather than a unified complex system.
Solution Approach 2:
The patent implements dynamic load balancing where terminals can switch between Ka-band and Q-band CROs based on real-time rain attenuation conditions and network congestion. The system dynamically adjusts which band a terminal uses by calculating probability metrics and making switching decisions, allowing the system to adapt to changing conditions without requiring static complex infrastructure.
2Productivity
If load balancing is implemented across multiple frequency bands to optimize throughput, then system capacity is improved, but rain attenuation effects worsen the complexity of load management
Solution Approach 1:
The patent changes the parameter of frequency band selection based on rain attenuation conditions. When rain attenuation is high in the Q-band, the system switches terminals to Ka-band CROs. The probability metric calculation incorporates rain attenuation estimates as a key parameter, dynamically adjusting load distribution based on environmental conditions rather than using fixed parameters.
Solution Approach 2:
The system implements feedback mechanisms where rain attenuation estimates and CRO load metrics are continuously monitored. Terminals report their experience and the network adjusts load balancing decisions based on this feedback. The probability metric is updated based on actual terminal behavior and network conditions, creating a closed-loop system that adapts to rain attenuation effects.
3Device complexity
If single-band terminals are used to simplify terminal design, then terminal complexity is reduced, but system throughput is limited by single-band capacity
Solution Approach 1:
The patent creates a universal terminal design where terminals are configured with multiple CROs for different bands but operate based on their capabilities and network conditions. The terminal architecture is designed to handle both single-band and multi-band operation, with the ability to select appropriate CROs based on rain attenuation and load conditions. This universality allows the system to maximize throughput by utilizing multi-band capable terminals when conditions permit while maintaining simplicity for single-band terminals.
4Productivity
If dynamic terminal switching between CROs is implemented to balance load, then load distribution is improved, but switching complexity and probability metric calculations increase processing requirements
Solution Approach 1:
The system performs preliminary calculations of probability metrics based on predicted rain attenuation and CRO load conditions before terminal switching occurs. By estimating future conditions and pre-calculating optimal switching probabilities, the system reduces the complexity of real-time switching decisions. The probability metric is computed in advance based on network state and environmental predictions, simplifying the actual switching execution.
Data Source
AI summary
Systems and methods for outroute load balancing in a multi-band hybrid satellite communication system include comparing the load metric of each of code rate organizers (CROs) to a threshold value; placing each CRO in one of a surplus load balancing set and a deficit balancing set based on a value of the load metric; and determining a probability metric for each satellite terminal associated with each of the CROs in the surplus load balancing set. The probability metric indicates a probability of the terminal moving to one of the CROs in the deficit load balancing set. At least one satellite terminal associated with one of the CROs in the surplus load balancing set is then caused to switch to one of the CROs in the deficit load balancing set based on the probability metric of the at least one satellite terminal.