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Computing migration and resource allocation method based on the fusion of mec and dense cloud access network

A cloud access network and resource allocation technology, applied in wireless communication, transmission system, power management, etc., can solve the problems of increasing energy consumption and delay, reduce energy consumption and computing delay, and improve computing and wireless resource utilization efficiency effect

Active Publication Date: 2021-09-07
SHANGHAI JIAOTONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Offloading computing tasks to edge servers reduces task execution latency but increases energy consumption and latency in uplink transmission

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  • Computing migration and resource allocation method based on the fusion of mec and dense cloud access network
  • Computing migration and resource allocation method based on the fusion of mec and dense cloud access network
  • Computing migration and resource allocation method based on the fusion of mec and dense cloud access network

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Embodiment Construction

[0076] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and the detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0077] Such as figure 1 As shown, base stations and smart mobile devices are randomly distributed in 500×500m 2 area, the number of base stations is 15, each base station has 4 sub-channels, and the bandwidth of the sub-channels is W s =5MHz, the uplink path loss model is 127+20log 10 d, where the unit of d is km, the small-scale channel power gain obeys Rayleigh fading with an average value of 1, and the maximum transmit power of the smart mobile device is The entire computing frequency of the edge cloud is The maximum calculation frequency of smart mobile devices is The co...

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Abstract

A computing migration and resource allocation method based on the integration of mobile edge computing and dense cloud access network, including virtualizing the baseband processing function in the cloud access network and the edge server function in mobile edge computing based on network function virtualization , integrated into a unified edge cloud; according to the task queue length of the smart mobile device, determine the proportion of computing tasks executed locally and in the edge cloud; for tasks that need to be executed locally, determine the local computing frequency of the smart mobile device; for tasks that need to be executed locally The task performed by the edge cloud is to determine the base station accessed by the smart mobile device, the allocated sub-channel and the size of the transmission power; according to the queue length of the computing task in the edge cloud, allocate the corresponding baseband processing resources and edge server resources of the smart mobile device. The present invention can optimize the total energy efficiency of the smart mobile device and the edge cloud, and improve the utilization rate of computing resources and wireless resources of the network under the premise that the computing task queue is kept stable.

Description

Technical field: [0001] The present invention relates to mobile edge computing technology, and more specifically, to a calculation migration and resource allocation method based on the integration of mobile edge computing and dense cloud access network. Background technique: [0002] Ultra-dense networking is a promising technology for future mobile networks. It provides near-end transmission and huge access capabilities through dense deployment of small base stations. With the unprecedented development of smart mobile devices, such as smartphones and IoT devices, various computing-intensive applications are gradually increasing in ultra-dense networks, such as video streaming analysis, interactive games and virtual reality, etc. Most of these applications are demanding in terms of real-time processing and energy consumption. But smart mobile devices have only limited computing power and battery power, and cannot effectively perform computationally intensive tasks locally. ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W24/02H04W52/24H04W72/04H04L29/08
CPCH04W24/02H04W52/243H04L67/10H04W72/53
Inventor 张琦归琳朱世超孙飞俞晖熊箭
Owner SHANGHAI JIAOTONG UNIV