UAV Wireless QoS Allocation With Path-Based Resource Verification
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Solution Overview
Problem
Existing communication systems for unmanned autonomous vehicles fail to guarantee sufficient Quality of Service (QoS) during data transmissions, especially when congested or handling high data traffic volumes.
Innovation Solution
A system and method that includes a QoS setup module to request dedicated radio resources, a QoS verify module to monitor actual QoS and path adherence, and a fare calculator to adjust charges based on QoS and path compliance, using blockchain for data security and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dedicated radio resources are allocated for unmanned autonomous vehicle communications, then QoS reliability is improved, but system complexity and resource management overhead increase
Solution Approach 1:
The system performs preliminary QoS verification before allocating dedicated radio resources by checking whether the vehicle will traverse through cells with insufficient network coverage. This advance verification prevents wasted resource allocation and reduces management complexity while maintaining reliability by only allocating resources when truly needed.
Solution Approach 2:
A path management function acts as an intermediary between the vehicle and the radio resource management system. This intermediary verifies vehicle paths, checks network coverage conditions, and only triggers resource allocation when necessary, thereby reducing overall system complexity while maintaining QoS guarantees.
2Reliability
If QoS verification and path monitoring are implemented, then service quality control is improved, but system complexity and processing overhead increase
Solution Approach 1:
The QoS verification system focuses only on specific critical parameters (path adherence and QoS metric thresholds) rather than monitoring all possible vehicle parameters. This localized verification approach reduces processing overhead while maintaining effective QoS control.
Solution Approach 2:
The system performs partial verification by checking only whether the vehicle traverses through cells with insufficient coverage and whether QoS metrics meet minimum thresholds, rather than进行全面 verification. This partial action approach reduces complexity while maintaining sufficient QoS control.
3Ease of operation
If fare adjustment based on actual QoS performance is implemented, then user satisfaction is improved, but calculation complexity and processing time increase
Solution Approach 1:
The fare calculation system uses simple parameter changes based on verified QoS metrics and path adherence. The fare management function adjusts fares according to predefined rules based on whether QoS thresholds were met, avoiding complex calculations while improving user satisfaction through performance-based pricing.
Data Source
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AI summary
A system (100) for managing QoS provided by a wireless communication system (105) to a user equipment (115) included in an unmanned autonomous vehicle (110) adapted to communicate with the wireless communication system is provided. The wireless communication system comprises base stations each one providing radio coverage over a corresponding cell. The system comprises: - a setup module (125) configured to receive data (PP) identifying a predetermined path crossing at least one of said cells the unmanned autonomous vehicle (110) is scheduled to travel on, and accordingly send to a radio scheduler module (128) of the wireless communication system (105) a request of allocating dedicated radio resources for wireless links between said user equipment (115) and base stations corresponding to cells crossed by the predetermined path (PP), said requested dedicated radio resources being expected to be sufficient to guarantee a QoS not lower than a predefined QoS value ( QoS(P ')), - a QoS verify module (130) configured to: - receive from the user equipment (115) QoS data (Q(x)) indicative of measured QoS actually experienced by the user equipment (115) during the traveling of the unmanned autonomous vehicle (110); - receive from the user equipment (115) position data (P(x)) indicative of an actual position of the unmanned autonomous vehicle (110) during the traveling of the unmanned autonomous vehicle (110); - verify whether the QoS actually experienced by the user equipment (115) during the travelling carried out by the unmanned autonomous vehicle (110) is not lower than the predefined QoS value (QoS(P)) according to said received QoS data (OfxJ) and verify whether the actual path followed by the unmanned autonomous vehicle (110) during its travelling corresponds to said predetermined path according to said received position data (P(x)).