Adaptive Satellite Link Load Balancing for QoS Optimization
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Solution Overview
Problem
Existing satellite communication systems face challenges in optimizing Quality of Service (QoS) and Quality of Experience (QoE) due to variations in satellite link quality, which are not effectively managed by traditional methods.
Innovation Solution
The implementation of adaptive load balancing in satellite networks, where the link quality of each satellite link is determined and used to select an active set of links for data communication, with each link in the active set allocated a portion of the data based on its link quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional load balancing methods are used in satellite networks, then system complexity is reduced, but Quality of Service (QoS) and Quality of Experience (QoE) cannot be optimized due to variations in satellite link quality
Solution Approach 1:
The patent implements dynamic load balancing that continuously monitors and adjusts data distribution across satellite links based on real-time link quality metrics. The system dynamically reconfigures the active set of satellite links and modifies data allocation ratios in response to changing link conditions, satellite positions, and traffic demands, thereby optimizing QoS and QoE while adapting to the inherently dynamic satellite network environment
Solution Approach 2:
The system changes key operational parameters including link quality thresholds, active set composition, and data allocation ratios based on monitored link quality variations. By adjusting these parameters in response to changing satellite link conditions, the system optimizes communication reliability and quality without requiring complex manual reconfiguration
2Reliability
If adaptive load balancing with multiple satellite links is implemented, then QoS and QoE are enhanced, but the system complexity increases due to dynamic link selection and data allocation
Solution Approach 1:
The patent segments the data stream into multiple portions and distributes them across different satellite links based on their respective qualities. By dividing the communication task into smaller segments that can be handled by individual links of varying quality, the system manages complexity while maintaining overall communication reliability and optimizing QoS through diversified path usage
3Reliability
If satellite links are dynamically selected based on link quality, then communication reliability is improved, but the difficulty of detecting and measuring link quality increases
Solution Approach 1:
The system implements feedback mechanisms where link quality metrics are continuously measured, monitored, and used to adjust load balancing decisions. Quality measurements from satellite links feed back into the load balancing algorithm, enabling continuous optimization of data distribution based on actual link performance rather than static pre-configurations
Data Source
AI summary
According to an embodiment, a node comprises one or more processors operable to execute instructions to cause the node to perform operations. The operations comprise determining a link quality associated with each satellite link of a plurality of satellite links and applying load balancing to the plurality of satellite links. The load balancing is based at least in part on the respective link quality associated with each satellite link. The load balancing comprises determining which of the satellite links to include in an active set selected to communicate data to or from the node and, for each satellite link in the active set, determining a portion of the data to communicate via the respective satellite link. The operations further comprise transmitting or receiving the data via the satellite links in the active set. Each satellite link in the active set communicates its respective portion of the data.