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Method and system for jointly optimizing calculation unloading and resource allocation

A computing offloading and resource allocation technology, applied in the direction of network traffic/resource management, advanced technology, climate sustainability, etc., can solve problems such as underutilization of computing resources, exhaustion of computing resources, etc., to reduce energy consumption, Reduce calculation pressure and make full use of the effect

Pending Publication Date: 2022-05-31
CHONGQING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] On the other hand, the explosive increase of IoT devices may lead to the exhaustion of computing resources, even MEC servers with strong computing power are difficult to meet the huge demand for computing resources
And, in the Internet of Things, some IoT devices are idle most of the time, and their computing resources are not fully utilized

Method used

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  • Method and system for jointly optimizing calculation unloading and resource allocation
  • Method and system for jointly optimizing calculation unloading and resource allocation
  • Method and system for jointly optimizing calculation unloading and resource allocation

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Experimental program
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Embodiment 1

[0072] With the rapid development of the Internet of Things, the number of IoT devices continues to increase. However, there are the following deficiencies in the current Internet of Things: First, the battery storage capacity, computing power and transmission conditions of the Internet of Things devices are limited; second, the computing resources are insufficient; third, some Internet of Things devices are idle for a long time. Resources are underutilized. The above deficiencies make it difficult for IoT devices to complete computing tasks within the maximum allowable delay.

[0073] In this regard, this embodiment provides a method for joint optimization of computing offloading and resource allocation. On the one hand, for the defects of limited computing capabilities and transmission conditions of IoT devices, it is considered to use mobile edge computing technology to complete computing tasks. Offload computing tasks from IoT devices (hereinafter referred to as "active u...

Embodiment 2

[0176] Corresponding to the method for jointly optimizing computing offloading and resource allocation provided in Embodiment 1, this embodiment provides a system for jointly optimizing computing offloading and resource allocation as a carrier of the first method.

[0177] Further, the system for jointly optimizing computing offloading and resource allocation includes:

[0178] The network system building module is used to build a wireless power supply mobile edge computing network system based on user collaboration;

[0179] Model building blocks for building:

[0180] User pairing model, which represents the pairing relationship between active users and idle users;

[0181] An energy harvesting model that characterizes the energy harvested from energy stations by active and idle users;

[0182] A local computing model that characterizes the local execution latency and local execution energy consumption of active users, as well as the local execution latency and local execu...

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Abstract

The invention discloses a method and a system for jointly optimizing calculation unloading and resource allocation, which adopt a mobile edge computing technology to unload a calculation task from an internet of things device with the calculation task to an idle device and an MEC (Mobile Edge Computing) server for execution so as to reduce the calculation burden of an active user. A wireless power supply technology is adopted to supply power to the Internet of Things equipment; the Internet of Things equipment in an idle state shares computing resources by adopting a user cooperation technology, so that the performance of active users is improved. The mobile edge computing technology, the wireless power supply technology and the user cooperation technology are organically combined in a modeling mode, reasonable resource allocation and user pairing are carried out in a network system in a joint optimization solution mode, and a resource allocation strategy and a user pairing strategy are formed. Therefore, it is guaranteed that the Internet of Things equipment completes the calculation task within the maximum allowable delay, and meanwhile energy consumption of the Internet of Things equipment is further achieved through reasonable optimal configuration of resources and user pairing.

Description

technical field [0001] The present invention relates to the technical field of wireless communication networks, in particular to a method and system for jointly optimizing computing offloading and resource allocation. Background technique [0002] With the rapid development of the Internet of Things, in the Internet of Things, such as sensors, cameras, wearable devices, etc., are able to perform data collection and data exchange tasks. However, with the increasing number of mobile IoT devices, various IoT applications, such as face recognition, online games, virtual reality, and e-health, are explosively occupying people's lives. [0003] On the one hand, due to the limited battery storage capacity, transmission conditions and computing power of IoT devices, it is difficult to complete computing tasks within the maximum allowable delay. Therefore, IoT devices can use mobile edge computing technology to offload some or all of the computing tasks to access points deployed wit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W28/08H04W24/02H04W24/06
CPCH04W28/0917H04W28/0925H04W28/0975H04W24/02H04W24/06Y02D30/70
Inventor 宋清洋张丽杰吴梦如亓伟敬
Owner CHONGQING UNIV OF POSTS & TELECOMM