Wireless Computing Power Scheduling for UE Resource Requests
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Solution Overview
Problem
Existing communication systems lack support for computing power sharing and scheduling in wireless networks, particularly for devices with varying computing capabilities, leading to single-point computing bottlenecks and inefficiencies in managing network resources.
Innovation Solution
A method and apparatus for computing power scheduling in wireless networks, where a UE sends radio signaling to a network side to request and allocate computing power resources, utilizing AS or NAS signaling, and the network schedules and configures these resources based on the request information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional communication systems schedule only connection resources, then network connection management is simple, but computing power sharing and scheduling capabilities are lacking
Solution Approach 1:
The patent extends the existing connection resource scheduling mechanism to also handle computing power resource scheduling. The same core scheduling framework is made universal by adding computing power as another schedulable resource type, allowing the system to manage both connection resources and computing power resources using unified procedures and interfaces.
Solution Approach 2:
The patent segments the resource scheduling function into separate modules: connection resource scheduling and computing power resource scheduling. Each module operates independently with its own parameters and mechanisms, allowing the system to handle computing power sharing without disrupting existing connection management simplicity.
2Productivity
If centralized management schedules computing power resources, then resource allocation efficiency improves, but signaling overhead and system complexity increase
Solution Approach 1:
The patent implements partial centralized management where the network side performs scheduling decisions only for computing power resources that require coordination, rather than centralizing all scheduling functions. This selective approach maintains allocation efficiency for critical resources while reducing unnecessary signaling overhead for resources that can be managed locally.
Solution Approach 2:
The terminal device autonomously determines its own computing power needs and initiates scheduling requests without requiring continuous network intervention. The terminal self-manages its computing power resource allocations based on local conditions, reducing the signaling burden on the network while maintaining efficient resource distribution.
3Adaptability or versatility
If computing power resources are allocated dynamically, then adaptability to diverse computing needs improves, but scheduling complexity and processing time increase
Solution Approach 1:
The patent implements preliminary configuration where computing power scheduling parameters and policies are pre-established and cached in the network side. When a scheduling request arrives, the system retrieves relevant pre-configured information rather than performing complete analysis from scratch, significantly reducing processing time while maintaining adaptability to different computing scenarios.
Solution Approach 2:
The patent employs dynamic scheduling parameters that can be adjusted based on real-time network conditions and terminal capabilities. The system dynamically selects scheduling strategies and parameters according to current conditions, allowing fast adaptation to diverse computing needs without requiring complex reconfiguration processes.
Data Source
AI summary
A first device obtains a computing power resource request, where the computing power resource request is from an access stratum AS, a non-access stratum NAS, or an application layer of the first device. The first device generates computing power request information based on the computing power resource request. The first device the computer request information to a network device, where the computing power request information is used to request the network device to allocate a computing power resource to the first device.