A dynamic resource allocation method for network slicing based on MDP

Abstract

The invention relates to a network slice dynamic resource allocation method based on Markov decision process (MDP), which belongs to the field of mobile communication. This method guarantees the strict delay requirements of all delay-sensitive services in each network slice, and dynamically allocates resources with the goal of achieving a compromise between maximizing network throughput and minimizing energy consumption. In each discrete time slot, according to the cache queue status information of users in each network slice and the real-time price status information of server power consumption, the virtual network function ( VNF) allocates an appropriate amount of computing resources and dynamically adjusts the number of servers that provide computing resources. The MDP-based network slicing dynamic resource allocation method proposed by the present invention can meet the time delay constraints of user services while achieving a compromise between maximizing network throughput and minimizing energy consumption.

Description

technical field [0001] The invention belongs to the field of mobile communication, and relates to an MDP-based network slice dynamic resource allocation method. Background technique [0002] There will be a variety of application scenarios in the future 5G network, among which three typical application scenarios are enhanced mobile bandwidth (eMBB), massive machine type communication (mMTC) and ultra-high reliability and low latency communication. Application scenarios The difference of each means that the requirements in terms of mobility, security, delay and reliability are different. Therefore, how to meet the diverse service requirements and the access requirements of massive terminal connections under the expectation of low cost and high capacity has brought huge challenges to the existing network. It is unrealistic to build separate physical networks for different application scenarios, but wireless virtualization technology can realize the sharing and isolation of ne...

AI Technical Summary

Problems solved by technology

[0003] In the existing network slicing resource allocation schemes, most of the research on network slicing virtual resource allocation does not consider both delay-sensitive services and non-delay-sensitive services in network slicing, that is, delay-sensitive services are not considered Strict latency requirements, and does not take into account that the cost of electricity in the infrastructure depends not only on the energy consumption of the server, but also on the real-time price of electricity

In addition, the resource allocation problems currently studied are either static, or do not consider the impact of the decision made in the current time slot on the future income, that is, the optimization goal is to optimize the single-step income, without considering the system in a long-term earnings

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