Internet of Things slice resource allocation system and method, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses an Internet of Things slice resource allocation system and method, electronic equipment and a storage medium. The system comprises an inter-chip controller and an on-chip controller, wherein the inter-chip controller is suitable for receiving a resource service request of a terminal, calculating wireless network resource information required by the resource service request, determining a target slice allocated to the resource service request according to the wireless network resource information, and sending the wireless network resource information tothe on-chip controller corresponding to the target slice; and the on-chip controller corresponding to the target slice receives the resource service request and the wireless network resource information sent by the inter-chip controller, and allocates wireless network resources in the current slice to the resource service request of the terminal according to the wireless network resource information.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular to an Internet of Things slice resource allocation system, method, electronic device, and storage medium. Background technique [0002] In recent years, with the rapid development and construction of power grids, diversified business requirements, surge in data traffic, and massive terminal equipment have posed new challenges to the programmability, isolation, and customization capabilities of the current power communication network architecture. Traditional The many disadvantages of the network have prompted service and resource providers to look for a more dynamic and predictable resource management system architecture, based on technologies such as Network Function Virtualization (NFV) and Software Defined Network (SDN) The new 5G network slicing architecture was born out of this situation, aiming to enhance the flexibility of the network, meet the needs of differe...

AI Technical Summary

Problems solved by technology

However, the existing network slicing solutions bring high complexity in calculating the required amount of resources, increase the delay of user service request response and the calculation amount of resource allocation, and affect the user service quality and network efficiency

On the other hand, the lack of wireless resources poses new challenges to the resource allocation of current slices. The use scenarios of each frequency band have been basically specified. The fixed allocation of spectrum resources has limited the growth of bandwidth required by emerging services. Bandwidth struggles to cope with surging mobile data traffic demands

Most existing network slicing solutions are deficient in efficiently utilizing limited spectrum resources and ensuring resource isolation between different slices and between different users. When network resources are in short supply, resources cannot be used efficiently, resulting in low network efficiency.

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