5G QoS Configuration Using Compression-Aware Resource Reservation
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Solution Overview
Problem
In the 5G QoS framework, air interface resource waste occurs due to the lack of consideration for data compression during QoS parameter configuration, leading to unnecessary reservation of resources based on preconfigured sizes rather than actual data requirements.
Innovation Solution
A method and apparatus that adjust QoS parameters based on compressed-data information, ensuring that air interface resources are reserved only for the necessary compressed data amount, thereby optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If QoS parameters are configured based on preconfigured air interface resource sizes without considering data compression, then QoS guarantee is provided, but air interface resource waste occurs
Solution Approach 1:
The patent applies dynamics by making the QoS parameter configuration adaptive and dynamic. The network device determines QoS parameters based on actual data compression status and current data requirements, rather than using static preconfigured values. This allows the system to adjust resource allocation in real-time according to actual needs, resolving the contradiction between maintaining QoS guarantees and avoiding resource waste.
Solution Approach 2:
The patent changes the parameters used for QoS configuration by introducing compressed-data information as a new parameter. Instead of relying solely on preconfigured air interface resource sizes, the system now considers the actual compression ratio and data characteristics when determining QoS parameters. This parameter change enables more accurate resource allocation that matches actual data transmission needs.
2Productivity
If air interface resources are reserved based on preconfigured sizes, then QoS flow transmission is supported, but resource allocation efficiency decreases
Solution Approach 1:
The patent applies preliminary action by having the network device determine appropriate QoS parameters in advance based on expected data compression status before actual data transmission begins. This allows resources to be pre-allocated according to realistic estimates of actual data requirements rather than conservative preconfigured values, improving allocation efficiency while ensuring sufficient resources are available when needed.
3Loss of energy
If QoS parameters are adjusted based on compressed-data information, then air interface resource waste is reduced, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary mechanism where the network device acts as a mediator between the data compression process and QoS parameter configuration. The network device receives compressed-data information, processes it to determine appropriate QoS parameters, and uses these parameters for resource allocation. This intermediary approach manages the added complexity by centralizing the decision-making logic in the network device rather than distributing it across multiple components.
Data Source
AI summary
A method, performed by a communication apparatus, comprises receiving a first quality of service (QoS) parameter; and sending a second QoS parameter, where the second QoS parameter is determined based on the first QoS parameter and compressed-data information, and the compressed-data information indicates a proportion of compressed data or a proportion of non-compressed data in a transmitted unit data amount. The method or other described embodiments may be performed in a QoS parameter configuration process in a scenario in which a 5G system is combined with a TSN/TSC architecture.