Joint optimization method and device for task unloading and resource allocation in 5G ultra-dense network, and medium

An ultra-dense network and joint optimization technology, which is applied to the joint optimization of task offloading and resource allocation in 5G ultra-dense networks, devices and media. It can solve problems such as transmission rate drop and interference, reduce task completion delay, improve The effect of service experience

Pending Publication Date: 2022-08-09
NANJING UNIV OF POSTS & TELECOMM +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in UDN, a large number of UEs sharing limited channel resources will cause serious interference, resulting in a decrease in transmission rate

Method used

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  • Joint optimization method and device for task unloading and resource allocation in 5G ultra-dense network, and medium
  • Joint optimization method and device for task unloading and resource allocation in 5G ultra-dense network, and medium
  • Joint optimization method and device for task unloading and resource allocation in 5G ultra-dense network, and medium

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Embodiment 1

[0098] The technical problem to be solved by the present invention is the task completion delay problem based on edge computing in the 5G ultra-dense network, and mainly solves the problem of resource allocation and offloading strategy faced by the user equipment when offloading tasks to the edge server.

[0099] Consider a UDN composed of a macro base station (Macro Base Station, MBS) and N small base stations (Small Base Station, SBS). The set composed of SBS is represented as S={1,2,...,S}. A MEC server is deployed in the macro base station. The MEC server has certain computing power and can process multiple computing tasks in parallel at the same time. The set of UEs served by each SBS is denoted as N={1,2,...,N s }, s∈S. The UE and the MEC server are connected through a wireless channel, and Orthogonal Frequency Division Multiple Access (OFDMA) is used as the user's multiple access method, and the bandwidth is divided into K orthogonal sub-channels. The set of sub-channe...

Embodiment 2

[0204] A joint optimization device for task offloading and resource allocation in a 5G ultra-dense network is provided, including:

[0205] Network establishment module: used to establish an OFDMA-based ultra-dense network scenario consisting of a macro base station and multiple small base stations, where MEC is deployed in the macro base station to support multi-user access;

[0206] Modeling module: used to obtain basic network information, the basic network information includes: local terminal computing capability, task average computation amount, data amount, MEC computing capability, number of channels, and channel bandwidth; Select the calculation delay of the task locally and when it is offloaded to the MEC, and calculate the system model and formula of the user's transmission rate, the transmission delay when the task is offloaded, and the total delay of the task offloading to the MEC server according to the Shannon formula;

[0207] Optimization function module: It is...

Embodiment 3

[0215] This embodiment provides a joint optimization device for task offloading and resource allocation in a 5G ultra-dense network, including a processor and a storage medium;

[0216] the storage medium is used for storing instructions;

[0217] The processor is operable according to the instructions to perform the steps of the method according to the first aspect.

[0218] The apparatus in this embodiment may be used to implement the method described in Embodiment 1.

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Abstract

In order to solve the problem of high time delay caused by processing low-time-delay and high-reliability application by a user with insufficient computing power in a 5G ultra-dense network, under the condition that computing resources and channel resources are limited, a joint optimization strategy of an unloading strategy and resource allocation is realized. The method comprises the following steps: firstly, constructing a system model of MEC and local calculation in a 5G ultra-dense network scene, constructing a mixed integer nonlinear optimization problem of minimizing task completion time, and then providing a task unloading decision and resource allocation joint optimization strategy for the optimization problem. The strategy firstly adopts a variable replacement mode to simplify a problem, then adopts a sub-problem decomposition mode to solve, decomposes an original problem into two sub-problems of computing resource allocation and channel resource allocation, firstly adopts a Lagrangian multiplier method to obtain an optimal solution of computing resources, and then adopts an optimal solution of channel resource allocation to obtain an optimal solution of channel resource allocation. And then, under the condition that the optimal solution of resource allocation is determined to be calculated each time, a channel resource allocation algorithm based on the differential evolution idea is adopted to carry out channel resource allocation.

Description

technical field [0001] The invention relates to a joint optimization method for task offloading and resource allocation in a 5G ultra-dense network, and belongs to the technical field. Background technique [0002] With the rapid development and update of the mobile Internet and the Internet of Things, the global mobile data traffic is showing an explosive growth trend. The global mobile data traffic in the 5G era is expected to reach more than 1,000 times that of the 4G era. Additionally, mobile devices have become smarter. Smart mobile devices have spawned various emerging services such as autonomous driving, real-time interactive games, virtual reality, and augmented reality. On the one hand, these emerging services have high requirements for network latency, such as some real-time interactive games and autonomous driving requiring network The delay is less than 1ms, but the existing fourth-generation mobile communication system (4G) can only provide a maximum network de...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W72/04G06F17/11
CPCH04W72/044H04W72/0453G06F17/11H04W72/53Y02D30/70
Inventor 王磊许之琛窦海娥郑宝玉崔景伍
Owner NANJING UNIV OF POSTS & TELECOMM
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