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

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...

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