UAV Controller Group QoS Provisioning
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Solution Overview
Problem
Current command and control (C2) communication modes for unmanned aerial systems (UAS) require different network resources, making it challenging to maintain consistent Quality of Service (QoS) for both uplink and downlink communications.
Innovation Solution
A Service Enabler Architecture Layer (SEAL) Group Manager server is used to match UAVs with their controllers based on UAS ID configurations, enabling network QoS provisioning through a group-based approach, allowing for separate QoS control for each up- and downlink using a SEAL Network Resource Manager server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If separate network resources are allocated for uplink and downlink C2 communication, then QoS control precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the C2 communication into separate uplink and downlink channels, each with independent QoS parameters and resource allocation. The network device maintains separate QoS profiles for uplink (UAV to controller) and downlink (controller to UAV) traffic, allowing precise control of bandwidth, latency, and reliability for each direction independently.
Solution Approach 2:
The patent introduces a group ID dimension to organize multiple UAVs and controllers into logical groups. By adding this grouping dimension, the system can apply QoS policies at both individual device level and group level, achieving fine-grained control without linearly increasing complexity for each device pair.
2Productivity
If group-based QoS provisioning is implemented, then resource allocation efficiency is improved, but adaptability to individual UAS requirements decreases
Solution Approach 1:
The patent merges individual QoS requirements with group QoS policies through a hierarchical structure. Individual UAVs and controllers are assigned to groups based on operational characteristics, and the network device combines group-level resource allocation with individual device adjustments, achieving both efficiency and customization.
Solution Approach 2:
The patent implements dynamic QoS adjustment where the network device can modify QoS parameters in real-time based on current network conditions and individual UAS requirements. The system transitions from static group-based allocation to dynamic individualized provisioning when specific conditions are met, balancing efficiency and adaptability.
Data Source
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AI summary
Systems and method may provide unmanned aerial system communication. A method, performed by at least one processor that implements a first server, includes obtaining a group identifier of a pair of an unmanned aerial vehicle (UAV) and a controller of the UAV, or a respective group identifier for each of the pair, based on requesting a second server to create one or more groups for the pair; provisioning Quality of Service (QoS) for communication of the pair, using the group identifier of the pair or the respective group identifier for each of the pair; and triggering, based on determining that a condition of the communication does not satisfy a pre-defined QoS requirement, a third server to perform adaptation of the QoS for the pair.