A Noma-based Adaptive Virtual Resource Allocation Method for Network Slicing

Abstract

The invention relates to a self-adaptive virtual resource allocation method of a network slice based on NOMA, belonging to the field of mobile communication. The self-adaptive virtual resource allocation method of the network slice based on NOMA comprises the following steps: a user accesses different slices according to the service types, and the slice manager takes the user into different resource blocks according to the opportunity scheduling strategy to provide service to the user; wherein the users of the same slice access the same subcarrier and the subcarrier allocates power for the users; further, different service slices are distinguished by the allocated power size. When the number of the users changes, the number of the subcarriers of the slices and the size of the power allocation are adjusted by means of the MDP, therefore, the spectrum resources can be made full use to meet more users, and the needs of the users are ensured. The self-adaptive virtual resource allocation method of the network slice based on NOMA provided by the invention can effectively improve the spectrum utilization and meet the QoS needs of the network slices with large demand differences.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and relates to a network slice adaptive virtual resource allocation method based on NOMA. Background technique [0002] In the 5G era, there will be various application scenarios and different network requirements. Network slicing based on NFV, SDN, and SON technologies is also a key technology of 5G network architecture. Network slicing is a virtual network for different business needs on the physical infrastructure. Network slices are completely isolated and flexible, and can dynamically meet the needs of their respective businesses and users. Due to the tight coupling between control and data forwarding in the architecture, resource allocation algorithms in traditional networks cannot be flexibly applied to 5G networks with network slices. How to meet the QoS requirements of various business users and improve resource utilization is an urgent problem to be solved. question. [0...

AI Technical Summary

Problems solved by technology

At present, the resource allocation of NOMA is mostly researched and analyzed from the aspects of SIC to eliminate interference and reduce the probability of interruption, which cannot be effectively combined with 5G application scenarios for resource allocation.

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