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Differential withdrawal method based on user classification in 5G large-connection IOT

A connected and differentiated technology, applied in access restrictions, electrical components, wireless communications, etc., can solve problems such as weak data storage and processing capabilities, low complexity, etc., to avoid access congestion, improve access capacity, The effect of reducing the probability of failure

Active Publication Date: 2017-11-10
XI AN JIAOTONG UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The 5G large-scale Internet of Things network and equipment are less complex, so the data storage and processing capabilities of the equipment are weak, and the protocol stack and air interface of the network need to be redesigned

Method used

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  • Differential withdrawal method based on user classification in 5G large-connection IOT
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  • Differential withdrawal method based on user classification in 5G large-connection IOT

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Embodiment Construction

[0019] The present invention is described in further detail below in conjunction with accompanying drawing:

[0020] The differentiated back-off method based on user classification in the 5G large connection Internet of Things described in the present invention comprises the following steps:

[0021] 1) The base station obtains the channel fading information of the user terminal according to the information sent by the user terminal, the base station divides several coverage types, and then judges the coverage type to which the user terminal belongs according to the channel fading information of the user terminal;

[0022] 2) The base station sends the coverage type to which the user terminal belongs to the user terminal through a downlink control channel;

[0023] 3) The user terminal initiates a random access request through a random access channel. When the user terminal is not connected to the 5G large-connection IoT system, the user terminal selects a corresponding backof...

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Abstract

The invention discloses a differential withdrawal method based on user classification in a 5G large-connection IOT. The differential withdrawal method comprises the steps that: (1), the coverage class, which a user terminal belongs to, is judged according to channel fading information of the user terminal; (2), a base station sends the coverage class, which the user terminal belongs to, to the user terminal through a downlink control channel; (3), the user terminal initiates a random access request; when being not accessed, the user terminal generates withdrawal time; after the withdrawal time, the user terminal re-initiates the random access request; when the user terminal is accessed, differential withdrawal based on user classification in the 5G large-connection IOT is completed; and otherwise, it turns to the step (4); and (4), when the time that the user terminal initiates the random access request is less than the pre-set maximum withdrawal time, it turns to the step (3); and otherwise, when the next service period is waited, it turns to the step (3). By means of the method, the system capacity can be effectively increased; and the system access failure probability can be reduced.

Description

technical field [0001] The invention belongs to the technical field of 5G massive connection Internet of Things communication, and specifically relates to a differentiated backoff method based on user classification in the 5G large connection Internet of Things. Background technique [0002] Narrow Band-Internet of Things (Narrow Band-Internet of Things, 5G large connection Internet of Things) is defined as a communication system that can transmit data between devices without human intervention. It is estimated that by 2020, tens of billions of IoT devices will be deployed and operated. With the deployment of 4G LTE network and the acceleration of 5G network deployment, IoT devices will provide better services in many fields. [0003] The service characteristics of IoT networks are very different from traditional cellular broadband services. IoT is characterized by low cost, low complexity, extended coverage, and low power consumption. This is because the IoT network needs...

Claims

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Application Information

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IPC IPC(8): H04W74/08H04L29/08H04W48/16
CPCH04L67/12H04W48/16H04W74/0833H04W74/085
Inventor 孙黎熊新雷任品毅
Owner XI AN JIAOTONG UNIV
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