Resource allocation optimization method and device

Abstract

The invention provides a resource allocation optimization method and device, and the method comprises the steps: determining a target cell according to the flow data used by a base station cell of each off-network user and the number of the off-network users of the base station cell; and when the online user is in the target cell, carrying out traffic resource deployment on the online user according to the monthly expenditure, the monthly use traffic and the monthly state of the online user. Through the resource allocation optimization method provided by the embodiment of the invention, differentiated scheduling of service traffic of different users is realized, so that traffic congestion of a network user plane is more effectively controlled and prevented, and the overall user perception of the network is improved.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a resource allocation optimization method and device. Background technique [0002] With the large-scale deployment of LTE networks, the industry is showing a trend of rapid development. While the number of users is growing explosively, service traffic is increasing exponentially, and wireless resource congestion occurs from time to time. Therefore, the scheduling of service traffic is particularly important. [0003] The existing control method for wireless resource congestion is mainly to schedule the service flow according to the service type or service priority of the user traffic. This processing method lacks differentiated scheduling for the service flow of different users, that is, when facing Or traffic with the same priority cannot finely regulate congestion, so that the congested traffic in the network cannot be effectively controlled and regulated, which...

AI Technical Summary

Problems solved by technology

[0003] The existing control method for wireless resource congestion is mainly to schedule the service flow according to the service type or service priority of the user traffic. This processing method lacks differentiated scheduling for the service flow of different users, that is, when facing Or traffic with the same priority cannot finely regulate congestion, so that the congested traffic in the network cannot be effectively controlled and regulated, which will easily lead to a serious shortage of air interface resources on the base station side and serious delay problems on the wireless side, such as a small amount of High-traffic, low-value users occupy a large amount of network resources, seriously affecting the perception of most other users

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