Policy Determining Apparatus for Downlink Data Flow Quality

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Solution Overview

Problem

The existing policy determining method in LTE networks, which relies solely on operator policy and user subscription data, results in poor user experience due to inadequate consideration of actual network conditions.

Innovation Solution

A method and apparatus that determine a quality of service policy for downlink data flows by obtaining and analyzing the transmission quality, including transmission bit rate and channel quality, to adjust the data flow accordingly, thereby improving user experience.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If the PCRF entity formulates a data flow transmission policy only according to operator policy or user subscription data, then the policy formulation process is simple, but the user experience is poor

Engineering Contradiction:
Improvepolicy formulation processVSAvoiduser experience
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent implements a feedback mechanism where the PCRF entity receives transmission quality information about downlink data flows and uses this feedback to dynamically adjust quality of service policies. This closes the loop between actual network performance and policy formulation, allowing the system to adapt policies based on real-world conditions rather than relying solely on static operator policies or subscription data.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent transforms the static policy formulation process into a dynamic one by continuously monitoring transmission quality metrics and adjusting quality of service policies in real-time. The system transitions from fixed policies based on pre-configured data to adaptive policies that respond to changing network conditions and actual user experience.

Inventive Principle:
Principle #15Dynamics

2Device complexity

If the PCRF entity uses only operator policy and user subscription data for policy formulation, then the system complexity is low, but the transmission quality adjustment capability is insufficient

Engineering Contradiction:
Improvesystem complexityVSAvoidtransmission quality adjustment
Core Design Contradiction:
Device complexityVSManufacturing precision

Solution Approach 1:

The PCRF entity receives feedback regarding actual transmission quality of downlink data flows and uses this information to precisely adjust quality of service policies. This feedback loop enables the system to achieve accurate transmission quality control by continuously comparing actual performance against target quality levels and making appropriate policy adjustments.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent replaces manual or static policy configuration mechanisms with an automated system that uses transmission quality measurements to dynamically determine appropriate quality of service policies. The system substitutes mechanical/manual policy setting with an intelligent feedback-driven approach that automatically adjusts policies based on measured network conditions.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS10616119B2Policy determining method and apparatus
Publication Date: 2020.04.07 HONOR DEVICE CO LTD
  • US10616119B2 patent drawing
  • US10616119B2 patent drawing
  • US10616119B2 patent drawing

AI summary

Embodiments of the present disclosure provide a policy determining method and apparatus, and relate to the field of communications technologies. The method includes: obtaining transmission quality of a downlink data flow; and determining a quality of service policy for the downlink data flow according to the transmission quality of the downlink data flow, where the quality of service policy is used to adjust the transmission quality of the downlink data flow. In the technical solution of the embodiments of the present disclosure, the obtained transmission quality of the downlink data flow can reflect an actual network environment. Therefore, the quality of service policy can be determined according to the actual network environment, so that the transmission quality of the downlink data flow can be improved and user experience can be improved.