RAN Computing Service Offload for 5G Self-Optimization
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Solution Overview
Problem
The complexity of radio access network (RAN) devices in 5G wireless communication systems necessitates high computing resource overheads for self-optimization, which current technologies struggle to efficiently manage, leading to inadequate network performance and user experience.
Innovation Solution
A method for implementing computing services by RAN devices through interaction with communication devices to exchange computing capability information, request and admit computing services, and transfer service flows, ensuring efficient utilization of network resources for self-optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RAN device performs self-optimization using local computing resources, then network performance and user experience are improved, but computing resource overhead and device complexity increase significantly
Solution Approach 1:
The patent extracts the computing service execution function from the RAN device and relocates it to a separate communication device. The RAN device retains only the computing service management function (requesting, monitoring, and controlling), while the actual computation is performed externally by the communication device that provides computing capability information to the RAN device.
Solution Approach 2:
The patent introduces a communication device as an intermediary between the RAN device and the computing resource pool. This intermediary manages the computing service requests from the RAN device, selects appropriate communication devices with available computing capabilities, and coordinates the execution of computing tasks, thereby reducing the burden on the RAN device while maintaining optimization effectiveness.
2Reliability
If RAN device performs self-optimization with high computing resources, then network performance improves, but computing resource overhead increases
Solution Approach 1:
The patent merges multiple computing resource pools into a unified pool managed by communication devices. Instead of each RAN device independently managing separate computing resources, the system combines computing capabilities across multiple communication devices, allowing for more efficient resource utilization and reduced overall computing overhead while maintaining the ability to perform comprehensive network optimization.
3Reliability
If RAN device implements comprehensive self-optimization, then user experience improves, but computing resource requirements exceed available local resources
Solution Approach 1:
The patent makes communication devices universal nodes that can both consume computing services (when they are RAN devices needing optimization) and provide computing services (when they have available resources). This multi-functionality allows the system to dynamically allocate computing resources across the network, enabling comprehensive self-optimization without requiring each node to have sufficient local computing resources.
Data Source
AI summary
A computing service implementation method and an apparatus. The method includes: a first radio access network (RAN) device obtains computing capability information of a first communication device; the first RAN device sends a first request to the first communication device, where the first request is for requesting the first communication device to perform a computing service of the first RAN device; the first RAN device receives a first response from the first communication device, where the first response indicates the computing service that is of the first RAN device and that is admitted by the first communication device; and the first RAN device exchanges, with the first communication device, data of the computing service that is of the first RAN device and that is admitted by the first communication device.