Migration decision and resource optimization distribution method for mobile edge computing ultra-dense network

Abstract

The invention discloses a migration decision and resource optimization distribution method for a mobile edge computing ultra-dense network, and belongs to the field of wireless communication. For theapplication scene that a computing terminal and a communication terminal simultaneously initiate task request in the mobile edge computing ultra-dense network, a computing request terminal task migration decision and resource optimization configuration method capable of guaranteeing the minimum communication rate requirement of a communication request terminal is disclosed. The method takes the weighted sum of the task migration processing time delay and the energy consumption of each computing request terminal as the task migration cost, and an optimization model is established by taking thetask migration cost sum of all the computing request terminals as the target, the optimization model is decomposed into a calculation resource optimization configuration model and a joint channel configuration and power configuration optimization model, a KKT condition is adopted to obtain a calculation resource optimization configuration decision; an alternative iteration is adopted to obtain a channel and power suboptimum configuration decision.

Description

technical field [0001] The invention relates to a migration decision-making and resource optimization allocation method for mobile edge computing ultra-dense network, which belongs to the field of wireless communication. Background technique [0002] Mobile edge computing (MEC) technology provides highly reliable, low-latency computing and communication services by deploying edge cloud servers (ECS) at the network entrance, aiming to solve business delay-sensitive or computing-intensive but There are contradictions such as limited terminal processing capabilities, abundant cloud computing resources but limited access capabilities, and significant growth in mobile broadband services but pipelined bearer networks. Mobile edge computing technology has promoted the rise of application-centric, real-time and highly reliable services such as intelligent network connection and Internet of Vehicles, smart city, and energy Internet. However, in MEC, due to the coupling of computing ...

AI Technical Summary

Problems solved by technology

However, in MEC, due to the coupling of computing and communication, user experience depends on the joint allocation of computing and communication resources, and migration decisions will also affect system performance

[0003] The fifth-generation mobile communication (5G) network combines MEC with ultra-dense networking to achieve short-distance and low-latency access to the edge cloud. However, the ultra-dense mobile edge computing network involves multiple base stations, and the migration decision also needs to consider the selection of base stations. Will further increase the complexity of resource allocation

In addition, there is co-channel interference in ultra-dense networks, the communication rates of user terminals in different cells are coupled with each other, resource allocation is very complex, and its migration decision and resource allocation are more challenging

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