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5G mobile network detection system based on cloud computing

A mobile network and detection system technology, applied in the field of 5G communication, can solve problems such as crosstalk, reduce the promotion effect of 5G mobile network detection system, etc., and achieve the effect of avoiding crosstalk

Inactive Publication Date: 2020-07-10
袁野
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the research and development of 5G technology is very popular all over the world. All mainstream standardization organizations at home and abroad have realized the urgency of the development of 5G technology at this stage. With the development from 4G to 5G, user demand continues to increase, and indoor and outdoor data services With the expansion of the range, the carrier frequency will also be greatly increased. On the basis of the increase of the carrier frequency, the 5G mobile network detection system manages user resources based on cloud computing, which greatly improves the efficiency of the 5G mobile network detection system. The data transmission requirements of the network detection system are higher, and the higher the efficiency of data transmission, the more prone to crosstalk between adjacent frequency bands, which greatly reduces the promotion effect of the cloud computing-based 5G mobile network detection system

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0012] Embodiment 1. The 5G mobile network detection system based on cloud computing includes a signal sampling module and a frequency selection adjustment module. The signal sampling module samples the signal of the communication base station node in the 5G mobile network detection system based on cloud computing. The signal sampling module is connected to The frequency selection adjustment module, the output signal of the frequency selection adjustment module is sent to the terminal of the 5G mobile network detection system based on cloud computing through the signal transmitter E1;

[0013] The frequency selection adjustment module uses the variable resistor RW1 to shunt the output signal of the signal sampling module, and uses the triode Q1 to amplify the signal voltage along the way, which is convenient for compensating the signal conduction loss. In order to further ensure the stability of the analysis signal transmission, the capacitor C4 is used to Coupling capacitors t...

Embodiment 2

[0015] Embodiment 2. On the basis of Embodiment 1, the signal sampling module selects the signal sampler J1 of the model DAM-3056AH to sample the signal of the communication base station node in the 5G mobile network detection system based on cloud computing, and uses capacitor C1, capacitor C2 is a decoupling capacitor. The power supply terminal of the signal sampler J1 is connected to the power supply +5V, the ground terminal of the signal sampler J1 is grounded, and the output terminal of the signal sampler J1 is connected to the negative pole of the regulator tube D1 and one end of the resistor R1. The positive pole of D1 is grounded, the other end of resistor R1 is connected to resistor R18, capacitor C1, and one end of capacitor C2, the other end of resistor R18 is grounded, the other end of capacitor C1 is connected to one end of resistor R2, and the other end of capacitor C2 is connected to one end of resistor R3 , the other end of the resistor R2 is connected to the ot...

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Abstract

The invention discloses a 5G mobile network detection system based on cloud computing. The 5G mobile network detection system comprises a signal sampling module and a frequency selection adjusting module, the signal sampling module samples communication base station node signals in the 5G mobile network detection system based on cloud computing. The signal sampling module is connected with a frequency-selecting adjusting module; the frequency-selecting adjusting module uses a capacitor C4 as a decoupling capacitor for reducing signal-to-noise ratio; then, an inductor L1 is used for generatingsignal resonance so that voltage at two ends of a parallel resistor R6 is increased; then, an operational amplifier AR2 is used for buffering signals; in the second path, capacitors C5-C7 are used toform a frequency-selecting circuit to screen out a single frequency signal, that is to say, a capacitor C5 and a capacitor C6 are used to suppress abnormal frequency so as to achieve the function of screening signal frequency. And finally, the two signals are input into the non-inverting input end of the operational amplifier AR1 after being subjected to voltage division through the variable resistor RW2, the consistency of signal amplitude and source signals is ensured, the fine adjustment effect on output signals of the operational amplifier AR4 is achieved, the signal frequency can be adjusted in time when the system terminal receives the signals, and the crosstalk phenomenon is avoided.

Description

technical field [0001] The invention relates to the technical field of 5G communication, in particular to a cloud computing-based 5G mobile network detection system. Background technique [0002] At present, the research and development of 5G technology is very popular all over the world. All mainstream standardization organizations at home and abroad have realized the urgency of the development of 5G technology at this stage. With the development from 4G to 5G, user demand continues to increase, and indoor and outdoor data services With the expansion of the range, the carrier frequency will also be greatly increased. On the basis of the increase of the carrier frequency, the 5G mobile network detection system manages user resources based on cloud computing, which greatly improves the efficiency of the 5G mobile network detection system. The data transmission requirements of the network detection system are higher, and the higher the efficiency of data transmission, the more...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/26
CPCH04L43/50
Inventor 袁野
Owner 袁野
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