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 traffic distribution across different frequency bands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If satellite terminals operate in higher frequency bands to increase throughput, then data transmission capacity is improved, but susceptibility to rain and weather attenuation increases
Solution Approach 1:
The system dynamically adjusts terminal operations between different frequency bands based on real-time congestion levels and weather conditions. The load balancing algorithm monitors system state and transitions terminals between bands (e.g., Ka-band to Q-band) to optimize both throughput and reliability, making the system adaptive rather than static
Solution Approach 2:
The invention changes the operating frequency band parameter of satellite terminals based on system congestion and weather conditions. By switching between Ka-band (higher throughput) and Q-band (lower attenuation), the system optimizes the trade-off between productivity and reliability under varying conditions
2Device complexity
If satellite terminals are configured as single-band terminals, then device complexity is reduced, but system capacity and flexibility are limited
Solution Approach 1:
The invention makes satellite terminals multi-functional by enabling them to operate in multiple frequency bands (Ka-band and Q-band). This universality allows terminals to adapt to different system conditions and contributes to overall system capacity while the load balancing algorithm manages the complexity of multi-band operations
3Productivity
If load balancing is implemented across multiple frequency bands, then system capacity and throughput are enhanced, but system complexity increases
Solution Approach 1:
The load balancing system is segmented into modular components: congestion level determination module, load metric determination module, CRO set management module, and terminal switching module. This segmentation manages complexity by breaking down the overall system into manageable, independent functional blocks
Solution Approach 2:
The system implements feedback mechanisms where congestion levels are continuously monitored, load metrics are calculated, and terminal switching decisions are made based on this feedback. The feedback loop enables automatic adaptation to changing conditions while the modular structure manages the complexity of the control logic
4Productivity
If terminals are switched between CROs based on congestion levels, then load distribution is improved, but switching complexity and potential service disruption increase
Solution Approach 1:
The system performs preliminary actions by pre-calculating load metrics and identifying surplus and deficit CRO sets before executing terminal switches. This preparation reduces the complexity and potential disruption of actual switching operations by having the optimal target state determined in advance
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.