Combined Radio and AI Resource Configuration for 5G Scheduling
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Solution Overview
Problem
Existing methods for configuring radio and AI resources in 5G systems face challenges in ensuring matching resource allocations, leading to inefficiencies and resource waste due to separate scheduling of radio and AI resources, which can result in degraded AI service performance and resource misallocation.
Innovation Solution
A method and apparatus for combined resource configuration, where network devices transmit resource configuration information including both radio and AI resource configurations, allowing for synchronized scheduling to ensure adequate and matched resource allocations, reducing the need for separate scheduling and minimizing resource waste.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If radio resources and AI resources are configured separately, then the configuration process is simple and flexible, but resource matching is poor leading to waste and degraded service performance
Solution Approach 1:
The patent combines radio resource configuration and AI resource configuration into a unified configuration process. The network device transmits combined configuration information that includes both radio resource parameters (such as time-frequency resources) and AI resource parameters (such as model identifiers and computing resources) together, ensuring they are allocated in a coordinated manner to avoid mismatch and waste.
Solution Approach 2:
The unified configuration mechanism serves multiple functions simultaneously: it allocates radio resources for data transmission, assigns AI models for processing, and coordinates computing resources. This multi-functional approach ensures that resource allocation is optimized for both communication efficiency and AI service performance.
2Productivity
If radio resources and AI resources are configured separately, then each resource type can be optimized independently, but the overall resource utilization efficiency decreases
Solution Approach 1:
The patent merges the configuration of radio resources and AI resources into a single unified configuration message transmitted by the network device. This combination ensures that resource allocations are coordinated and optimized together, improving overall utilization efficiency while maintaining manageable complexity through standardized configuration structures.
3Reliability
If separate scheduling is used for radio and AI resources, then scheduling flexibility is maintained, but service quality and reliability are degraded
Solution Approach 1:
The patent combines radio resource scheduling and AI resource scheduling into a unified scheduling framework. The network device determines both types of resource allocations simultaneously based on service requirements, channel conditions, and available AI resources, ensuring coordinated scheduling that maintains service reliability while simplifying the scheduling operation through integrated decision-making.
Data Source
AI summary
The present disclosure relates to communication technology, and provides a resource configuration method and apparatus, a device, and a storage medium. The method includes: receiving first resource configuration information from a network device. The first resource configuration information includes n resource configuration combinations each including first-type resource configuration information and second-type resource configuration information, where n is positive integer. The first-type resource configuration information indicates a radio resource configuration, and the second-type resource configuration information indicates an Artificial Intelligence (AI) resource configuration. The combined configuration solution according to the embodiments of the present disclosure can reduce the number of times the network device performs resource scheduling, and reduce the processing overhead of the network device.