CU-UP Service Feature Feedback for Accurate DU Scheduling

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Solution Overview

Problem

In the 5G communication technology, the centralized unit (CU) and distributed unit (DU) architecture faces challenges in scheduling or configuring services due to inconsistencies between subscribed service features provided by the core network and actual service features, leading to inadequate adaptation by the access network device.

Innovation Solution

The CU-UP obtains actual service features based on algorithm information, assistance information, or local data to determine and send service features to the CU-CP, which then adjusts the granularity as needed to provide accurate scheduling or configuration instructions to the DU.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If the core network provides subscribed service features to the access network device, then the service configuration can be simplified, but the service features may be inconsistent with actual service characteristics leading to poor scheduling adaptation

Engineering Contradiction:
Improveservice configuration simplicityVSAvoidservice scheduling adaptation
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The CU-UP monitors actual service data characteristics and provides feedback to the CU-CP, which then adjusts the service features sent to the DU. This feedback mechanism ensures the service features reflect actual service characteristics rather than just subscribed features, resolving the contradiction between configuration simplicity and scheduling adaptation.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The CU-UP performs preliminary analysis of actual service data characteristics before the service features are sent to the DU. This preliminary action ensures that the service features are pre-adjusted to match actual service characteristics, enabling better scheduling adaptation while maintaining configuration simplicity.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If the CU-UP obtains service features based on actual service data, then the service scheduling accuracy is improved, but the system complexity increases

Engineering Contradiction:
Improveservice feature accuracyVSAvoidsystem structure complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The CU-UP performs multiple functions: it processes user plane data, analyzes service characteristics, and provides feedback to the CU-CP. This multi-functionality allows the system to obtain accurate service features without adding separate dedicated components, thus improving measurement precision while limiting the increase in system complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The CU-UP acts as an intermediary between the user plane data and the control plane decision-making process. It analyzes actual service data characteristics and translates them into actionable service features for the DU, improving accuracy while distributing complexity across existing functional components rather than adding centralized complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Manufacturing precision

If the service feature granularity is adjusted by the CU-CP, then the scheduling precision for the DU is improved, but the information processing load increases

Engineering Contradiction:
Improvescheduling precisionVSAvoidinformation processing load
Core Design Contradiction:
Manufacturing precisionVSPower

Solution Approach 1:

The CU-CP adjusts service feature granularity locally based on the specific scheduling needs of different services or data flows. Rather than uniformly increasing granularity for all services, it applies higher precision only where needed, improving scheduling precision for critical services while limiting the overall information processing load.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The CU-CP applies partial granularity adjustment, increasing precision only for service features that require it based on actual service characteristics. This partial action approach improves scheduling precision for critical services while avoiding the excessive processing load that would result from uniformly high granularity across all services.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentEP4068838B1Communication method and communication apparatus
Publication Date: 2026.01.28 HUAWEI TECH CO LTD
  • EP4068838B1 patent drawingFigure 1
  • EP4068838B1 patent drawingFigure 2~3
  • EP4068838B1 patent drawingFigure 4~5

AI summary

This application provides a communication method and a communication apparatus. A CU-UP obtains a first service feature of a service. The first service feature includes one or more of the following: whether the service is a periodic service, a periodicity corresponding to the service when the service is a periodic service, a service packet size corresponding to the service, a service model corresponding to the service, or scheduling time of the service. Then, the CU-UP sends the first service feature to a CU-CP. Next, the CU-CP may send the first service feature to a DU. In this way, the DU can schedule or configure the service based on the service feature sent by the CU-CP.