Network slicing orchestration method and device

Abstract

The present invention provides a network slicing arrangement method and device, the method comprising: generating a network slice population based on a predetermined network performance index, the network slice population including a plurality of network slice individuals; selecting at least one network slice in the generated population The slice individual is used as the target slice for individual mutation operation; at least one network slice individual in the current population is selected as the target slice for individual hybridization operation, and the individual fitness evaluation value after the individual hybridization operation is calculated. Based on the calculated individual fitness evaluation value for individual selection operations. The method of the embodiment of the present invention regards optimizing the current network situation as the orchestration purpose of the network slice, and improves the overall performance of the network by performing targeted orchestration optimization on the network slice.

Description

technical field [0001] The present invention relates to the technical field of communication, and more specifically, the present invention relates to a network slice orchestration method and device. Background technique [0002] After continuous evolution, the mobile communication network has been able to gradually meet the basic needs of exchanging information between people, but now the simple high data transmission rate is no longer the only requirement for mobile communication. With the increase in the number of user terminals, the growth of traffic scale and the diversification of user needs, the current mobile communication core network is gradually difficult to handle more and more diverse service requirements. [0003] With the higher and higher requirements put forward by all walks of life for communication networks, 5G networks have emerged as the times require. The International Telecommunication Union (ITU) has planned three major application scenarios covered b...

AI Technical Summary

Problems solved by technology

At present, most of the research results on optimizing network slice arrangement and improving resource utilization are based on network resource optimization for data centers with relatively simple network conditions, without considering the bandwidth, delay and reliability of application services. complex requirements, and most of the results are only for a single goal such as network resource utilization or QoS, and the orchestration algorithms for network slicing are mostly optimized for a single goal based on local network information, and lack of consideration for the entire network

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