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A joint optimization method for task unloading and resource allocation in a mobile edge computing network

An edge computing and resource allocation technology, applied in service provisioning, program loading/starting, advanced technology, etc., can solve problems such as limited edge server resources

Active Publication Date: 2019-05-28
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

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

Method used

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  • A joint optimization method for task unloading and resource allocation in a mobile edge computing network
  • A joint optimization method for task unloading and resource allocation in a mobile edge computing network
  • A joint optimization method for task unloading and resource allocation in a 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, base stations, mobile devices, and channels are expressed as: ={1,2,...,S}, N ={1,2,...,N}, K={1,2,...,K}; each base station deploys a MEC server, which has...

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Abstract

The invention discloses a joint optimization method for task unloading and resource allocation in a mobile edge computing network, which comprises the following steps of 1, establishing an OFDMA (Orthogonal Frequency Division Multiple Access)-based multi-MEC (Mobile Edge Computing) base station and a multi-user scene model, wherein the MEC base station supports the multi-user access; 2, introducing an unloading decision mechanism; Meanwhile, constructing a local calculation model and a remote calculation model, selecting a user needing to perform calculation unloading, and establishing a calculation task unloading and resource allocation scheme based on minimum energy consumption under the condition of meeting the time delay constraint according to the conditions; 3, carrying out variablefusion on three mutually constrained optimization variables, namely an unloading decision variable, a wireless resource distribution variable and a computing resource distribution variable, so as to simplify the problem; and 4, obtaining an unloading decision and a resource allocation result which enable the total energy consumption of the user in the MEC system to be minimum through a branch andbound algorithm. The method has the advantage that the energy consumption of the system can be effectively reduced on the premise that strict time delay limitation is guaranteed.

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...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/445H04W4/50
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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