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Joint optimization method of task offloading and resource allocation in mobile edge computing network

An edge computing and resource allocation technology, applied in the direction of program loading/starting, advanced technology, climate sustainability, etc., can solve the problems of limited edge server resources, etc., and achieve the effect of excellent unloading probability, reduced complexity, and easy solution

Active Publication Date: 2021-09-28
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, unlike cloud computing, edge servers have limited resources

Method used

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  • Joint optimization method of task offloading and resource allocation in mobile edge computing network
  • Joint optimization method of task offloading and resource allocation in mobile edge computing network
  • Joint optimization method of task offloading and resource allocation in mobile edge computing network

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Embodiment Construction

[0083] In order to enable those in the field of the present invention to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.

[0084] Such as figure 1 As shown, the joint optimization method for task offloading and resource allocation in the mobile edge computing network includes the following steps:

[0085] Step 1: Establish an OFDMA-based multi-MEC base station and multi-user scenario model. For the schematic diagram of the comb model, see figure 2 As shown, the MEC base station supports multi-user access;

[0086] Specifically: establish a scenario model of S MEC base stations, K MDs, and N subcarriers. In this scenario, the base stations, mobile devices, and channels are expressed as: Each base station deploys a MEC server, which has a certain computing capability, in ot...

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Abstract

The invention discloses a joint optimization method for task offloading and resource allocation in a mobile edge computing network, comprising the following steps: Step 1: establishing a multi-MEC base station and multi-user scenario model based on OFDMA, wherein the MEC base station supports multi-user access; Step 2: Introduce an offloading decision-making mechanism; build a local computing model and a remote computing model at the same time, select users who need to offload computing, and establish a computing task offloading and resource allocation scheme based on the minimum energy consumption under the condition of meeting the delay constraint according to the above conditions ; Step 3: Through the variable fusion of the three mutually constrained optimization variables of offloading decision variables, wireless resource allocation variables and computing resource allocation variables, the problem is simplified; The lowest cost unloading decision and resource allocation results. The present invention has the advantage of effectively reducing system energy consumption under the premise of ensuring strict time delay limitation.

Description

technical field [0001] The invention belongs to the technical fields of mobile communication and mobile edge computing, and in particular relates to a joint optimization method for task offloading and resource allocation in a mobile edge computing network. Background technique [0002] In recent years, with the rapid development of the mobile Internet and the Internet of Things, the number of mobile devices (Mobile Devices, MDs) such as smartphones and smart bracelets has grown exponentially, accompanied by more and more computing-intensive applications. , such as face recognition, electronic medical care, natural language processing, interactive games, etc. Such applications have high computational complexity, high energy consumption, and low latency requirements. However, mobile terminals are often limited in computing resources, storage resources, and battery capacity. The massive computing requirements far exceed the services that local mobile devices can provide. Compu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/445H04L29/08H04W52/02H04W72/04
CPCY02D30/70
Inventor 朱洪波杨小彤饶安琪余雪勇
Owner NANJING UNIV OF POSTS & TELECOMM
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