QoS Module Dynamic Bandwidth Allocation for Aircraft Networks
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Solution Overview
Problem
Managing network bandwidth Quality of Service (QoS) on transportation vehicles, such as aircraft, is challenging due to discrepancies between ground-station guidance and actual available bandwidth, requiring dynamic updating based on current operating conditions.
Innovation Solution
A vehicle information system that includes a content distribution system and a Quality of Service (QoS) module, which uses a hierarchical tree structure to dynamically manage bandwidth by assigning priority levels to different traffic types and devices, adjusting bandwidth rates based on real-time network traffic and available bandwidth, and utilizing a ground system to provide recommended bandwidth rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If ground station guidance is used to manage bandwidth, then QoS management is simplified, but the actual bandwidth allocation becomes inaccurate due to discrepancies between guidance and real conditions
Solution Approach 1:
The system continuously monitors actual network traffic and bandwidth usage on the aircraft, compares it with ground station guidance, and dynamically adjusts QoS parameters to resolve discrepancies. This feedback loop ensures accurate bandwidth allocation reflecting real operating conditions while maintaining manageable complexity through automated adjustment.
Solution Approach 2:
The QoS management system transitions from static ground-station-guided bandwidth allocation to dynamic adjustment based on real-time network conditions. The system continuously adapts bandwidth rates and priority levels according to actual traffic patterns, ensuring accuracy while using automated algorithms to prevent complexity escalation.
2Ease of operation
If bandwidth is allocated equally among all devices, then fairness is improved, but network performance deteriorates due to inability to prioritize critical traffic
Solution Approach 1:
The system implements differentiated QoS treatment for different traffic types and devices based on their specific needs. Critical communications and entertainment traffic receive appropriate priority levels and bandwidth rates, ensuring each type of traffic gets locally optimized treatment rather than uniform allocation, thus maintaining both fairness and performance.
Solution Approach 2:
The network traffic is segmented into different priority levels and categories (e.g., critical communications, entertainment, data transfer). Each segment receives customized bandwidth allocation and QoS management, allowing fair treatment of different traffic types while optimizing overall network performance through prioritized handling of time-sensitive communications.
3Measurement precision
If QoS parameters are updated frequently to reflect real-time conditions, then bandwidth management accuracy is improved, but system complexity increases
Solution Approach 1:
The system implements periodic monitoring and updating of QoS parameters at optimized intervals rather than continuous adjustment. This periodic action maintains accurate bandwidth management by reflecting real-time conditions while reducing system complexity through structured, interval-based updates rather than constant reconfiguration.
Solution Approach 2:
The QoS management system operates autonomously, automatically monitoring network conditions and adjusting parameters without requiring complex external control. This self-service capability maintains high accuracy in bandwidth management while minimizing system complexity by eliminating the need for complex manual intervention or external control mechanisms.
Data Source
AI summary
Methods and systems are provided for a transportation vehicle. One method includes determining current available bandwidth rate based on network traffic generated by a plurality of devices and a plurality of traffic types on a transportation vehicle; utilizing a hierarchical tree structure to modify quality of service (QoS) that is indicated by a specific bandwidth rate associated with different priority levels, where each priority level is associated with one of the plurality of devices and the plurality of traffic types; and storing the modified QoS for the different priority levels at the hierarchical tree structure for a next update of the QoS when the current available bandwidth rate changes.


