Resource allocation and base station service deployment method based on mobile edge computation

Abstract

The invention discloses a resource allocation and base station service deployment method based on mobile edge computation. The method comprises the steps of sending a computation migration request toa smart base station when it is detected that a computation task exists in a mobile terminal; sending required task data to a network side when a cache unit of the base station is lack of computationdata required by the task contained in the request; receiving the required task data returned by the network side; computing transmission delay and computation delay according to the received requiredtask data, thereby obtaining transmission energy consumption and computation energy consumption; obtaining a computation migration proportion judgment matrix according to delay profits and energy profits; and carrying out computation migration according to the computation migration proportion judgment matrix. The base station service deployment scheme comprises a cache unit, a computation unit, an obtaining processing unit and a sending unit. According to the scheme, the computation capability and data caching capability can be provided. According to the resource allocation method based on the MEC (Mobile Edge Computation) and the base station service deployment scheme, terminal multi-task, base station multifunctional and target diversified computation migration can be realized.

Description

technical field [0001] The present invention relates to the technical field of mobile computing, to a resource allocation and base station service deployment method based on mobile edge computing, and in particular to a resource allocation between multiple mobile terminals and a single intelligent base station based on MEC under the condition of joint optimization of time delay and energy consumption Allocation method and base station service deployment. Background technique [0002] In recent years, with the rapid development of the mobile Internet and the Internet of Things, the use of smart phones has become more and more common, and their functions have been gradually enhanced. Therefore, various high-complexity programs that rely on terminals provided by third parties have begun to be widely used in mobile computing. However, since this type of new service is a typical high-complexity and high-consumption application, it brings great challenges to the energy resources ...

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide a resource allocation method and a base station service deployment scheme to solve the problem of mobile edge computing that can be used by mobile terminals in the prior art because mobile edge computing applications are deployed on smart base stations. The application will be limited by the type of mobile edge computing application installed by the smart base station itself, and the problem that the calculation delay and terminal energy consumption cannot be jointly optimized

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