Network section optimization method in wireless access network

Abstract

The invention relates to a network section optimization method in a wireless access network, and belongs to the field of mobile communications. The network section optimization method comprises the following steps: Step I, building a combined and non-convex optimized model in combination with the cost, service isolation and return capacity constraints; and Step II, solving the model by using a simulated annealing optimization algorithm according to the theory of an iterative adaptive heuristic probability search algorithm. The invention discloses a network resource optimized distribution method for a wireless virtual resource distribution mechanism; separation of control and forwarding is realized through an SDN (Software Defined Network) technology; and network resources are sensed and scheduled by using a network control plane. Customization of end-to-end services is supported on the basis of an SDN and a network section; independent and mutually isolated virtual networks are established according to network service requirements; and hardware resources in a network are dynamically deployed, which enables a plurality of virtual networks to share one physical network, thereby realizing sharing of the hardware resources of the network.

Description

technical field [0001] The invention relates to a network slice optimization method in a wireless access network, belonging to the field of mobile communication. Background technique [0002] With the integration and development of smart grid and Internet of Things, power system equipment has become more intelligent and modern. Coupled with the rapid development of mobile terminal technology, communication technology and sensing technology, wearable devices have begun to appear, which has improved the intelligence level of operation and maintenance. Various services supported by wearable devices require different communication, storage and computing resources. However, the traditional vertically integrated network structure with tightly coupled software and hardware makes it difficult to flexibly allocate network resources to different services. In the core network, the orchestration of network functions lacks flexibility, the ability to expand services is poor, and the av...

AI Technical Summary

Problems solved by technology

[0009] Technical solution 2 realizes the virtualization of the physical network through software-defined networking. The virtualized virtual network can originate from the same physical network, and logically presented to users are different network providers, providing different types of business services; users To generate business, choose the appropriate network provider according to your own business needs, that is, choose the appropriate virtual network; use the maximum and minimum criteria to determine the network selection and modulation and coding scheme selection methods; aim at maximizing the benefits of virtual network operators, using The interior point method determines the virtual bandwidth allocation method; but its algorithm is complex, which brings a lot of resource overhead and takes a long time to calculate

[0010] Technical solution 3 is suitable for strong business heterogeneity and large differences in QoS requirements. By considering multiple business service quality factors, a reasonable QoS mechanism and business priority mechanism are established, and wireless network interference problems and dynamic resources are considered. The allocated load balancing strategy can realize the dynamic allocation of wireless virtual resources in the power distribution and communication network, and can allocate underlying physical network resources for multiple isolated virtual networks carrying different services according to real-time business needs, improving the efficiency of network operation , but without considering the priority of the business, it cannot make the urgent and important business achieve higher timeliness and accuracy

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