PCRF QoS Authorization for Dynamic Radio Access Technology
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Solution Overview
Problem
Network operators face challenges in managing Internet Protocol filter rules and applying quality of service for IoT devices connected to cellular or wireless networks, particularly in scenarios where static QoS parameters do not match dynamic subscriber access scenarios, leading to inefficient enforcement of charging rules and network policies.
Innovation Solution
A system and method for automated traffic flow control using quality of service authorization based on radio access technology type and other data session attributes, where a Policy and Charging Rules Function (PCRF) receives credit control requests, combines authorized QoS parameters, and updates charging rules to ensure compliance with requested QoS, allowing for dynamic adjustment of QoS parameters to match subscriber-specific requirements across different radio access technologies and scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static QoS parameters are used for network management, then network policies can be enforced, but the system cannot adapt to dynamic subscriber access scenarios across different radio access technologies
Solution Approach 1:
The patent implements dynamic QoS parameter selection based on radio access technology type. The PCRF receives CCRs containing RAT type information and automatically selects appropriate QoS parameters from multiple authorized sets, enabling the system to adapt from static to dynamic operation while maintaining manageable complexity through automated decision-making
Solution Approach 2:
The system changes QoS parameters dynamically based on the detected radio access technology type. Different RAT types (e.g., LTE, NR, Wi-Fi) trigger different QoS parameter sets, allowing the network to optimize performance for each technology while the PCRF manages the complexity of parameter selection and adjustment
2Adaptability or versatility
If multiple authorized QoS parameter sets are maintained for different RAT types, then service differentiation is enabled, but the complexity of managing and selecting appropriate parameters increases
Solution Approach 1:
The PCRF performs self-service by automatically selecting the appropriate QoS parameter set based on the RAT type information received in the CCR. The system maintains multiple authorized QoS parameter sets but eliminates the need for manual intervention or complex selection logic, as the PCRF autonomously matches the correct parameters to the detected radio access technology
Solution Approach 2:
The PCRF serves multiple functions: it receives CCRs for multiple RAT types, maintains diverse QoS parameter sets, selects appropriate parameters automatically, and enforces them. This multi-functional approach enables support for various radio access technologies while consolidating management complexity into a single centralized function
3Productivity
If automated QoS parameter selection is implemented, then traffic flow control efficiency is improved, but the system requires sophisticated credit control request processing
Solution Approach 1:
The PCRF performs preliminary processing of the CCR by extracting RAT type information and identifying the appropriate QoS parameter set before the actual traffic flow control begins. This preliminary action includes validating the requested QoS against authorized parameters and preparing the final QoS configuration, which streamlines the subsequent automated selection and enforcement processes
Data Source
AI summary
A computer-implemented system and method for automated traffic flow control using quality of service authorization based on type of radio access technology and other parameters for one or more devices enabled for connectivity over cellular network are disclosed. The computer-implemented method includes receiving credit control request for the one or more devices from a subscriber; receiving quality of service (QoS) configuration authorized for the one or more devices for the subscriber from a configuration database; combining the authorized QoS parameters for the subscriber; comparing them against the requested QoS by the subscriber; and updating charging rules for the subscriber as an answer to the credit control request.


