Computing Control Function for 5G Split Computing Configuration
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Solution Overview
Problem
Existing communication systems face challenges in determining an optimal computing configuration for user equipment (UE) that considers computing capabilities, resource availability, communication delay, and mobility, leading to suboptimal data path configurations and increased latency.
Innovation Solution
A method and apparatus that involve a network structure with a computing control function (CCF) and a computing exposure function (CEF) to collect and manage computing resource information, determine a computing configuration, and manage data paths, utilizing a network repository function (NRF) to discover and allocate computing resources, and a session management function (SMF) to establish and manage PDU sessions, incorporating AI for efficient resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If computing configuration is determined without considering real-time communication characteristics and resource availability, then the configuration process is simple, but the quality of experience and latency performance deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where the computing control function continuously receives status information about computing resources and communication characteristics, processes this feedback to determine optimal computing configurations, and updates the configuration dynamically. This ensures the system adapts to changing conditions while maintaining high quality of experience.
Solution Approach 2:
The patent performs preliminary actions by discovering available computing servers and their status information in advance through the network repository function, and by pre-configuring the computing control function to receive and process status information. This preparation enables faster and more informed computing configuration determination when needed.
2Productivity
If computing resources are allocated without considering real-time status information, then the allocation process is fast, but resource utilization efficiency and latency increase
Solution Approach 1:
The computing control function receives real-time status information from computing servers and uses this feedback to dynamically determine optimal computing configurations. This feedback loop ensures that resource allocation is based on current availability and performance conditions, maximizing utilization efficiency while minimizing latency.
Solution Approach 2:
The patent implements dynamic computing configuration determination where the system adapts to changing resource availability and communication conditions in real-time. The computing control function dynamically adjusts configurations based on received status information, enabling efficient resource allocation that responds to current system state rather than relying on static pre-configurations.
3Adaptability or versatility
If the network structure does not include specialized computing control functions, then the network structure is simple, but the ability to manage computing services and optimize data paths deteriorates
Solution Approach 1:
The computing control function is designed as a multi-functional network element that handles computing service management, resource allocation, configuration determination, and data path management. By consolidating these functions into a single versatile component, the patent achieves high adaptability without proportionally increasing overall system complexity.
Solution Approach 2:
The computing control function acts as an intermediary between the user equipment, computing servers, and session management function. It receives computing requirements from UEs, discovers suitable servers through the network repository function, determines optimal configurations, and manages data paths to reach selected servers. This intermediary role enables sophisticated computing service management while maintaining clear system architecture.
Data Source
AI summary
The disclosure relates to 5th generation (5G) or 6th generation (6G) communication systems. A method performed by a first network entity in a wireless communication system is provided. The method includes receiving a request for supporting a computing service for an operation of an application executed in a user equipment (UE) and status information of the UE from the UE, transmitting requirement information related to the request for supporting the computing service and a request for discovering a computing server to a network repository function (NRF), receiving information on a second network entity connected to a computing server from the NRF, receiving status information of the computing server from the second network entity, determining a computing server and a computing configuration for supporting the operation of the application, transmitting a data network access identifier (DNAI) of the computing server and information on the computing configuration.