Unlock instant, AI-driven research and patent intelligence for your innovation.

A method and device for nb-iot base station residual capacity prediction

A technology of remaining capacity and base station, applied in the field of communication, can solve the problem of unpredictable remaining capacity of NB-IoT, and achieve the effect of accurate prediction

Active Publication Date: 2020-11-17
WUHAN GREENET INFORMATION SERVICE
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the above defects or improvement needs of the prior art, the present invention solves the problem that the existing network remaining capacity prediction model cannot predict the remaining capacity of NB-IoT

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method and device for nb-iot base station residual capacity prediction
  • A method and device for nb-iot base station residual capacity prediction
  • A method and device for nb-iot base station residual capacity prediction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] With the development of NB-IOT business, more and more NB-IOT terminals are being launched, and the load of NB-IOT network is gradually increasing. In order to better develop business, it is necessary to know how many industry users the remaining capacity of the network can support. In this embodiment, the correspondence between NB-IoT capacity and services is calculated by analyzing the service model of NB-IoT users and the NB-IoT uplink and downlink data flow, combined with actual network usage data.

[0057] Such as figure 1 As shown, the specific steps of the method for predicting the remaining capacity of the NB-IoT base station provided by the embodiment of the present invention are as follows:

[0058] Step 101: Select a sector with a number of active terminals greater than a preset active terminal number threshold as a predicted sector group.

[0059] In the cellular communication network, the base station can be located in the center of the cell, and an omnidi...

Embodiment 2

[0090] In this embodiment, on the basis of Embodiment 1, the specific implementation process of the method for predicting the remaining capacity of the NB-IoT base station is described through an example. Mainly analyze the corresponding relationship between industry business and NB-IoT capacity, and analyze the data results according to the characteristics of a city's smart white goods industry (hereinafter referred to as white appliances). The corresponding relationship between the number of users and the capacity is established, and the remaining capacity of the base station is predicted. White point services include shared air conditioners, shared washing machines, shared refrigerators, etc. The smart white home appliances in the business can be controlled and billed through the wireless network to achieve sharing, and each smart white home appliance that can be connected to the Internet serves as a terminal.

[0091] In a specific implementation scenario, the white goods ...

Embodiment 3

[0144] On the basis of the method for predicting the remaining capacity of the NB-IoT base station provided in Embodiment 1 to Embodiment 2 above, the present invention also provides a device for predicting the remaining capacity of the NB-IoT base station that can be used to implement the above method, such as Figure 4 Shown is a schematic diagram of the device architecture of the embodiment of the present invention. The apparatus for predicting the remaining capacity of an NB-IoT base station in this embodiment includes one or more processors 21 and a memory 22 . in, Figure 4 A processor 21 is taken as an example.

[0145] Processor 21 and memory 22 can be connected by bus or other means, Figure 4 Take connection via bus as an example.

[0146] The memory 22, as a non-volatile computer-readable storage medium of the NB-IoT base station remaining capacity prediction method, can be used to store non-volatile software programs, non-volatile computer-executable programs an...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the field of communication, in particular to a method and device for predicting the residual capacity of an NB-IoT base station. The method mainly comprises the following steps: selecting sectors of which the number of active terminals is greater than a preset active terminal number threshold as a prediction sector group; obtaining a network management index in each channel in the prediction sector group; performing correlation analysis by taking every two network management indexes as a group, and obtaining a network management index group of which the correlation isgreater than a preset correlation threshold as a prediction network management index group; and obtaining the residual capacity of the prediction sector group according to a service model, the correlation model of the prediction network management index group and the value of the prediction network management index group. According to the invention, the residual capacity of the network can be accurately predicted according to the characteristics and service characteristics of the NB-IoT network, and support is provided for service development.

Description

technical field [0001] The present invention relates to the communication field, in particular to a method and device for predicting the remaining capacity of an NB-IoT base station. Background technique [0002] Narrow Band Internet of Things (NB-IoT for short) is an emerging and important branch technology of the Internet of Things. NB-IoT is built on a cellular network and only consumes about 180kHz of bandwidth. It can be directly deployed on the Global System for Mobile Communications (GSM) network, the Universal Mobile Telecommunications System (Universal Mobile Telecommunications System, abbreviated as : UMTS) network or long-term evolution (Long Term Evolution, abbreviated as: LTE) network to reduce deployment costs and achieve smooth upgrades. [0003] However, NB-IoT is quite different from traditional LTE networks in terms of frame structure, time slot structure, physical channel, and data transmission process. In order to enhance downlink and uplink coverage, NB...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/70H04W24/02H04W24/08H04L12/24
CPCH04L41/147H04W24/02H04W24/08H04W4/70
Inventor 叶志钢冯晔张本军王赟谭国权
Owner WUHAN GREENET INFORMATION SERVICE