Task unloading and resource allocation scheme based on MEC

A resource allocation and task technology, applied in advanced technology, power management, electrical components, etc., can solve problems such as resource consumption of backhaul links and backhaul congestion

Active Publication Date: 2019-03-01
CHONGQING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

However, offloading tasks to the cloud data center located in the core network needs to go through the backhaul network, which will consume backhaul link resources. When a large number of services need to be offloaded to the cloud server, i

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  • Task unloading and resource allocation scheme based on MEC
  • Task unloading and resource allocation scheme based on MEC
  • Task unloading and resource allocation scheme based on MEC

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Embodiment Construction

[0083] In order to make the objectives, technical solutions, and advantages of the present invention more clearly expressed, the present invention will be further described in detail below with reference to the drawings and specific implementation cases.

[0084] figure 1 Shown is a flow chart of a preferred embodiment of the MEC-based task offloading and resource allocation scheme of the present invention. The method includes the following steps:

[0085] Step 101: Formulate a joint optimization problem of offloading decision and resource allocation;

[0086] Step 102: Use the coordinate descent method to optimize the unloading decision;

[0087] Step 103: Use an improved Hungarian algorithm and a greedy algorithm to allocate sub-channels to users;

[0088] Step 104: Convert the energy consumption minimization problem into a power minimization problem, and convert it into a convex optimization problem to obtain the user's optimal transmission power;

[0089] figure 2 It is the MEC-base...

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Abstract

Mobile edge computing (MEC) provides the advantages of low delay, low power consumption and high reliability based on a mobile network edge through provision of an IT service environment and cloud computing capacity, so the mobile edge computing becomes a hotspot of future 5G research. The invention discloses a task unloading and resource allocation scheme based on MEC. The scheme comprises the steps of setting an unloading decision and resource allocation joint optimization problem; optimizing an unloading decision through adoption of a coordinate descent method; carrying out subchannel allocation on users when user delay conditions are satisfied through adoption of an improved Hungarian algorithm and greedy algorithm; and converting energy consumption minimization problem into a power minimization problem, and converting the power minimization problem into a convex optimization problem, thereby obtaining the optimum sending powers of the users. According to the scheme, different delay requirements of different users can be satisfied, system total energy consumption can be minimized, and system performance can be effectively improved.

Description

Technical field [0001] The present invention relates to the technical field of mobile edge computing and wireless communication, and particularly relates to an MEC-based task offloading and resource allocation scheme. Background technique [0002] In recent years, with the continuous upgrading of mobile networks and intelligent mobile devices, the number of mobile Internet users has exploded. At present, the fifth generation of mobile communication (5G, the fifth generation of mobile technology) is facing new challenges with explosive data traffic growth and the coexistence of massive device connections. At the same time, the new business scenarios of 5G networks, such as interactive somatosensory games, face recognition, driverless driving, virtual reality, industrial Internet of Things communications, etc., are due to their impact on time delay, energy consumption, reliability and other indicators. Higher demand, in order to meet the corresponding development needs brought abo...

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Application Information

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IPC IPC(8): H04W52/02H04W72/04
CPCH04W52/0209H04W72/53Y02D30/70
Inventor 李虎张海波陈善学刘开健
Owner CHONGQING UNIV OF POSTS & TELECOMM
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