Inter-cellular base station offloading method based on MEC (Mobile Edge Computing)

A technology of cellular base stations and base stations, which is applied in the field of task offloading between cellular base stations based on MEC to achieve the effects of improving utilization, improving QoE, and reducing power consumption

Active Publication Date: 2017-06-27
CERTUS NETWORK TECHNANJING
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The existing related research involves both aspects, but most of them simply consider task offloading to "remote cloud" instead of other forms of cloud

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  • Inter-cellular base station offloading method based on MEC (Mobile Edge Computing)
  • Inter-cellular base station offloading method based on MEC (Mobile Edge Computing)
  • Inter-cellular base station offloading method based on MEC (Mobile Edge Computing)

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Embodiment Construction

[0036] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0037] In this application, we can no longer stick to cloud computing, and study how to store and process the data generated by themselves on devices (or between devices, on the network). Instead of constantly moving a huge amount of data to the remote cloud for processing, it puts it at the edge of the device for processing, and puts most of the data sets in the server at the location of the data preprocessing part for processing, that is, between the terminal and the data center Adding another layer is called the network edge layer, such as adding a small server or router with storage, and directly processing and storing some data that does not need to be placed in the "cloud" at this layer, which can greatly reduce the number of "clouds". "The pressure of itself can not only improve its processing efficiency, but also increase its transm...

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Abstract

The invention discloses an inter-cellular base station offloading method based on MEC (Mobile Edge Computing). The method comprises the following steps: sending a reference signal carrying a collaboration cluster building request to a peripheral base station by a hot zone base station; receiving a report of at least one base station by the hot zone base station, selecting N collaboration base stations of which channels are better and remaining computing resources are enough to compute an offloading request within a preset time slot, and building a collaboration cluster; initializing transmission power of the hot zone base station specific to the collaboration base stations in the collaboration cluster, and judging whether the transmission power meets a time delay requirement of the offloading request or not; and determining a joint utility value according to the transmission power and time delay of the hot zone base station, and selecting transmission power in a group of data with a minimum joint utility value as actual transmission power. Through adoption of the inter-cellular base station offloading method based on the MEC disclosed by the invention, the user quality of experience of a hot zone is improved; the power consumption is lowered as much as possible; and meanwhile the utilization ratio of computing resources of a small base station is increased.

Description

technical field [0001] The invention belongs to the technical field of mobile communication networks, and relates to an MEC-based task offloading method between cellular base stations. Background technique [0002] In the future 5G network, the rapid growth of service types and loads is a challenge to both mobile terminals and networks. Mobile Cloud Computing (Mobile Cloud Computing, MCC) is a commonly recognized solution to the challenge of limited mobile terminal resources. Technology, the basic implementation form of MCC is task offloading (Offloading), and ultra-dense deployment and new network technologies, such as Mobile Edge Computing (MEC) and Fog Computing (Fog Computing) are unanimously recognized methods to deal with network problems. In the ultra-dense deployment network scenario, the user's quality of experience (QoE) and network performance are improved by combining new network technologies and resource management technologies. Task offloading has become an ef...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W28/08H04W28/24H04W52/24H04W52/26H04W52/36
CPCH04W28/08H04W28/24H04W52/24H04W52/26H04W52/362
Inventor 唐伦牛瑞彪尹生华梁荣陈前斌
Owner CERTUS NETWORK TECHNANJING
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