MEC-assisted data shunting method in 5G network

Abstract

The invention relates to an MEC-assisted data shunting method in a 5G network, and belongs to the technical field of mobile communication. The method, to begin with, for the problem of switching failure due to insufficient base station resources in a conventional switching scheme, improves switching success rate through MEC-assisted selection of a target base station in the switching preparation phase; and then, for the problem of congestion of a core network due to overlarge data traffic, the method designs a task unloading and data shunting scheme, thereby reducing congestion of the core network, reducing user delay and improving network performance and user experience. The method integrates task unloading and data shunting into the user switching process, thereby realizing smooth transition between task unloading and data shunting, and reducing transmission delay and switching failure rate.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to an MEC-assisted data distribution method in a 5G network. Background technique [0002] The rapid development of the mobile Internet and the Internet of Things and the continuous emergence of various new services are expected to bring about a 1,000-fold increase in data traffic and more than 50 billion terminal device connections by 2020. Mobile edge computing (MobileEdge Computing, MEC) is one of the important technical means for the future 5G mobile communication system to improve service capabilities. Unlike other technologies, MEC can be deeply integrated into the mobile communication architecture, which can better guarantee the quality of service (Quality of Service, QoS) and service experience (Quality of Experience, QoE) of users. MEC can be regarded as a supplementary resource of traditional cloud data centers. It deploys general-purpose servers on the radio...

AI Technical Summary

Problems solved by technology

[0004] The existing technology has at least the following technical problems: 1) In the traditional handover scheme, the handover request will be rejected because the target gNB cannot meet the QoS requirements of the UE or the resources are insufficient, resulting in an increase in the handover failure rate; 2) The traditional task offloading and data offloading scheme , relatively independent, not integrated into the handover process of the UE, and cannot guarantee the smooth transition of task offloading and data offloading during the handover process of the UE

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