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A state-aware network slicing resource management method

A technology of resource management and network slicing, applied in advanced technology, climate sustainability, sustainable communication technology, etc., can solve problems such as reconfiguration VNF migration, reduce delay increase, reduce delay increase and migration loss, Improving the effect of data loss situations

Active Publication Date: 2022-07-08
CHONGQING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, reconfiguring link resources will also involve the migration of some VNFs to other servers, so the computing resources in the slice may also need to be reconfigured

Method used

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  • A state-aware network slicing resource management method
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  • A state-aware network slicing resource management method

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Embodiment Construction

[0038] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0039] see figure 1 , figure 1 It is a schematic diagram of network slicing in the present invention.

[0040] The application layer is mainly responsible for providing VNF for this slice to form SFC, and completes a series of protocol stack functions in an orderly manner through SFC. The virtualization layer is responsible for managing and controlling the entire slice network. This model specifically includes resource management and state observation. The physical layer includes the physical resources that implement the slice, including the DU pool and the CU pool, and the two communicate with each other through the fronthaul network. The CU pool is a physical network composed of general-purpose servers, and the DU pool is a network composed of servers and RRUs.

[0041] Based on the uplink condition, each UE in the slice has one SFC, fo...

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Abstract

The invention relates to a network slice resource management method based on state perception, and belongs to the technical field of mobile communication. In this method, the resource management problem of access network slices with mobile UEs is abstracted into an MDP model, in which the joint allocation of computing, link and radio resources is considered, and the virtual network is reduced while optimizing the delay. At the same time, considering the unknown state transition probability, deep reinforcement learning (Deep Q Network, DQN) is used to solve the Markov Decision Processes (MDP) problem . The method provided by the present invention can effectively reduce the time delay increase caused by UE movement, and can improve the data loss situation.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and relates to a network slice resource management method based on state awareness. Background technique [0002] A network slice is a logical network that is used to implement a specific communication service. The slice contains several service function chains, each service function chain is composed of several VNFs in an orderly manner, and each VNF completes a protocol function, a series of VNFs can complete the entire protocol stack function. These VNFs are instantiated and run on general-purpose servers in the form of software, and the execution of VNFs requires the support of resources. In the access network slice, not only the dynamically changing network topology will affect the resource allocation, but also the movement of the terminal will deteriorate the communication service quality so that the resource arrangement and mapping in the access network slice needs to be adju...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L41/0893H04W24/02
CPCH04L41/0893H04W24/02Y02D30/70
Inventor 陈前斌王兆堃管令进唐伦刘占军
Owner CHONGQING UNIV OF POSTS & TELECOMM
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