Radio Network QoS Parameter Control for Dynamic Resource Allocation
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Solution Overview
Problem
Current QoS management solutions in radio networks fail to dynamically adjust QoS parameters based on the status of radio resources, leading to inefficient resource allocation and waste, particularly when different user types with varying requirements share the same service.
Innovation Solution
A method and apparatus that allow a first network element, such as a radio access controller, to determine QoS parameters based on both user service requirements and real-time radio network resource availability, enabling dynamic adjustment and optimization of resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a same QoS parameter is configured for all users using the same service, then service requirements of all users are met, but radio resources are excessively allocated causing waste
Solution Approach 1:
The patent applies local quality by differentiating QoS parameter configuration based on user attributes (VIP vs. common users). Instead of uniform QoS parameters for all users of the same service type, the system configures different QoS parameters according to individual user characteristics, thereby meeting each user's specific service requirements while avoiding excessive resource allocation to users who need less resources.
Solution Approach 2:
The patent implements dynamics by enabling the core network element to sense radio resource status on the access network side in real-time and dynamically adjust QoS parameters accordingly. The system can sense resource status, determine appropriate QoS parameters based on both service type and current resource conditions, and update configurations dynamically, transforming the static uniform QoS approach into a dynamic adaptive one that responds to changing network conditions.
2Reliability
If radio resources are allocated based on VIP user requirements, then VIP user service quality is ensured, but common user resources are wasted affecting subsequent access
Solution Approach 1:
The patent applies local quality by configuring different QoS parameters for different user categories (VIP vs. common users). VIP users receive QoS parameters configured to ensure their high service quality requirements, while common users receive appropriately scaled QoS parameters matching their lower resource needs. This differentiated local configuration ensures VIP service quality while preventing resource waste on common users, thereby improving overall resource utilization efficiency.
Solution Approach 2:
The patent implements parameter changes by adjusting QoS parameters based on user attributes and service requirements. The core network element determines appropriate QoS parameters by considering both the service type and user category, dynamically changing the configuration parameters to match actual needs. This allows the system to allocate resources efficiently by changing parameters rather than using fixed uniform allocations.
3Device complexity
If core network element determines QoS parameter only based on service type, then configuration is simple, but it cannot sense radio resource status leading to suboptimal allocation
Solution Approach 1:
The patent implements feedback by establishing a sensing mechanism where the core network element can sense radio resource status on the access network side. The system receives feedback information about current resource conditions, uses this feedback to determine appropriate QoS parameters, and adjusts configurations accordingly. This feedback loop transforms the open-loop simple configuration approach into a closed-loop adaptive system that responds to actual resource status.
Solution Approach 2:
The patent introduces an intermediary mechanism (the sensing capability and communication interface between core network element and access network) that enables the core network element to obtain radio resource status information. This intermediary allows the core network element to sense and respond to resource conditions without directly managing access network resources, maintaining architectural simplicity while enabling precise resource awareness and adaptive QoS configuration.
Data Source
AI summary
Embodiments of this application relate to the field of communication technologies, and provide a quality of service management method and an apparatus, to adjust a QoS parameter in real time based on a status of a radio network resource, to therefore maximize utilization of radio resources. Specifically, a first network element receives a QoS parameter request sent by a second network element, where the QoS parameter request is for requesting a QoS parameter. The first network element determines a first QoS parameter based on at least one of service requirement information of a user, attribute information of the user, and a radio network resource of the second network element. The first network element sends the first QoS parameter to the second network element, to enable the second network element to allocate a radio network resource based on the first QoS parameter.