MEC unloading method under energy consumption and delay constraints

A technology with delay constraints and energy consumption, applied in wireless communication, electrical components, etc., can solve problems that are not suitable for dynamic systems, energy consumption, etc., and achieve the effect of solving computing offloading problems

Pending Publication Date: 2019-06-28
DONGHUA UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0002] More and more computing-intensive applications in 5G require low latency, such as interactive games, augmented reality (AR), virtual reality (VR), etc., and these applications are also energy-consumin

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  • MEC unloading method under energy consumption and delay constraints
  • MEC unloading method under energy consumption and delay constraints
  • MEC unloading method under energy consumption and delay constraints

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Embodiment Construction

[0019] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0020] The embodiment of the present invention relates to a MEC unloading method under energy consumption and delay constraints. The implementation of this method can make the UE energy consumption low, the delay low, and the quality of service guaranteed. The present invention is based on a multi-user system model (such as figure 1 shown), to establish a computational model and design a decision-making method based on deep rei...

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Abstract

The invention relates to an MEC unloading method under energy consumption and delay constraints. The method specifically comprises: carrying out system modeling, specifically, a base station and N mobile user devices are arranged in a cell, the base station and an MEC server are deployed together, each mobile user device is made to have a computing intensive task needing to be completed, and eachmobile user device can unload the task to the MEC server or execute the task locally; constructing a local calculation model and an unloading model to obtain the total local calculation cost and the total MEC unloading calculation cost; and searching an optimal computing unloading and resource allocation scheme through a reinforcement learning algorithm, i.e., computing unloading decisions of allmobile user devices in the cell and computing resource allocation of the MEC server. The optimal strategy can be obtained in the dynamic system, so that the energy consumption of the mobile user devices is reduced, the delay is reduced, and the service quality is ensured.

Description

technical field [0001] The present invention relates to the technical field of Mobile Edge Computing (abbreviated as MEC), in particular to an MEC unloading method under energy consumption and delay constraints. Background technique [0002] More and more computing-intensive applications in 5G require low latency, such as interactive games, augmented reality (AR), virtual reality (VR), etc., and these applications are also energy-consuming applications. Considering the limited battery power and computing power of mobile terminals, it is difficult for mobile user equipment (UE) to meet these requirements. To resolve the contradiction between UE and applications, Mobile Edge Computing (MEC) is proposed as a solution. [0003] MEC enhances computing capabilities at the edge of mobile networks by deploying high-performance servers. MEC servers are densely distributed near mobile users, and mobile user equipment can offload computing tasks to MEC servers through wireless channe...

Claims

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Application Information

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IPC IPC(8): H04W72/04H04W72/08
Inventor 刘锐陈雯
Owner DONGHUA UNIV
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