Coordinated QoS Policy Control for Correlated Service Flows
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Solution Overview
Problem
Existing communication technologies fail to effectively adjust quality of service (QoS) for multiple service flows in haptic and multimedia enhanced communications, leading to degraded overall service experience when individual flows cannot meet QoS requirements.
Innovation Solution
Implement a cooperative QoS adjustment scheme that considers the correlation between multiple service flows, adjusting their QoS collectively to maintain overall service quality by using network functions like PCF, NEF, RAN, and SMF to manage and coordinate QoS policies across multiple flows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If QoS adjustment is performed for a single flow independently, then the complexity of QoS management is reduced, but the overall service experience deteriorates when one flow cannot meet QoS requirements
Solution Approach 1:
The patent merges QoS management for multiple correlated flows into a unified policy controlled by a single network function. When QoS adjustment is needed, the system identifies a group of correlated flows and applies coordinated QoS parameters to all of them simultaneously, ensuring that service experience consistency is maintained while managing complexity through centralized control.
2Reliability
If QoS parameters are adjusted for multiple correlated flows simultaneously, then the overall service experience is maintained, but the complexity of QoS management increases
Solution Approach 1:
The patent introduces a network function (PCF, NEF, RAN, or SMF) as an intermediary that automatically manages QoS policies for groups of correlated flows. This intermediary receives service requirements, identifies correlated flows, and applies appropriate QoS parameters without requiring direct manual configuration for each flow, thereby maintaining service consistency while managing complexity through automated mediation.
Solution Approach 2:
The patent changes QoS parameters (such as priority levels, bandwidth allocations, or delay budgets) for multiple correlated flows simultaneously when adjustment is required. By coordinating parameter changes across the entire group of correlated flows rather than adjusting them individually, the system maintains service experience consistency while managing the complexity of multi-flow coordination.
3Reliability
If alternative QoS profiles are selected based on priority matching, then QoS requirements can be satisfied when possible, but the system cannot adapt when no alternative profile matches the requirements
Solution Approach 1:
The patent implements dynamic QoS adjustment where the system can adaptively modify QoS parameters for groups of correlated flows based on current network conditions and service requirements. Rather than being constrained to fixed alternative profiles, the system dynamically determines appropriate QoS parameters and applies them to maintain service experience consistency, enabling flexible adaptation when standard profiles do not match requirements.
Data Source
AI summary
A policy control method a includes the steps of determining by a first network function a first policy according to a first parameter, and receiving by a first entity a second policy, wherein the second policy is directly or indirectly sent by the first network function.