Base Station Packet Delay Adjustment via Translation Parameter Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing Quality of Service (QoS) mechanism in communication systems cannot adequately guarantee the quality of service parameters such as packet delay, packet reliability, rate, and RAN availability, especially when resources are insufficient, leading to suboptimal service quality.
Innovation Solution
A data processing method that calculates and adjusts a base station packet delay value based on a translation parameter, including scheduling features, retransmissions, and modulation and coding scheme (MCS) numbers, to meet the specified packet delay requirements in service level agreements (SLAs), ensuring better service quality by optimizing resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the QoS mechanism is used to allocate resources based on priority, then resource allocation efficiency is improved, but packet delay guarantee capability deteriorates
Solution Approach 1:
The patent pre-calculates and stores translation parameters (including scheduling feature identifiers, MCS numbers, and retransmission quantities) in a mapping table that corresponds to different packet delay values. When service data arrives, the base station directly queries the mapping table using the target packet delay value as the key, obtaining the pre-determined translation parameter without real-time calculation. This preliminary preparation eliminates computation delays during actual scheduling operations.
Solution Approach 2:
The patent implements a feedback mechanism where the base station calculates the actual packet delay value after scheduling service data using the obtained translation parameter. This calculated delay is then compared with the target packet delay value to determine whether the translation parameter needs adjustment. The mapping table is dynamically updated based on this feedback, continuously optimizing the translation parameters for future scheduling decisions.
2Quantity of substance
If the base station reduces bandwidth of some terminals when radio resources are insufficient, then resource utilization is improved, but service quality deteriorates
Solution Approach 1:
The patent changes the parameter representation from direct bandwidth allocation to translation parameters (scheduling feature identifiers, MCS numbers, retransmission quantities) that indirectly control resource allocation. By querying the mapping table with the target packet delay value, the base station obtains optimized translation parameters that automatically balance resource utilization and service quality. This parameter transformation enables more flexible and precise control over terminal bandwidth allocation.
Data Source
AI summary
One example data processing method includes obtaining an industry identifier and a service identifier, determining, based on a first preset mapping table, a target packet delay value corresponding to the industry identifier and the service identifier, obtaining a translation parameter including at least one of a scheduling feature identifier, a quantity of retransmissions, and a modulation and coding scheme (MCS) number, and calculating a base station packet delay value based on a preset terminal processing delay, a preset base station processing delay, a first time division duplex air interface waiting delay, a preset time division duplex air interface transmission delay, and the translation parameter. When the base station packet delay value is greater than the target packet delay value, the translation parameter is adjusted, and execution of the previous step is triggered.