CN111447641A - 5G mobile network node detection system based on cloud computing - Google Patents
5G mobile network node detection system based on cloud computing Download PDFInfo
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- CN111447641A CN111447641A CN202010476517.3A CN202010476517A CN111447641A CN 111447641 A CN111447641 A CN 111447641A CN 202010476517 A CN202010476517 A CN 202010476517A CN 111447641 A CN111447641 A CN 111447641A
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Abstract
The invention discloses a 5G mobile network node detection system based on cloud computing, which comprises a signal sampling module and a feedback adjusting module, the signal sampling module samples signals of communication base station nodes in a cloud computing-based 5G mobile network node detection system, the signal sampling module is connected with a feedback adjusting module, the output signals of the feedback adjusting module are filtered by an RC circuit formed by a resistor R4 and a capacitor C2, the potential difference between the output signals of an operational amplifier AR2 and an emitter of a triode Q2 is detected by an MOS (metal oxide semiconductor) tube Q3, feedback abnormal signals are further calibrated for the feedback signals by a voltage regulating circuit formed by an operational amplifier AR4 and an operational amplifier AR3, the potential between the output signals of the operational amplifier AR3 and the emitter of the triode Q1 is further compared by the operational amplifier AR5, and finally, the cloud computing-based 5G mobile network node detection system terminal can timely and accurately respond to serious congestion phenomena in a network base station node and a User Equipment (UE) transmission network.
Description
Technical Field
The invention relates to the technical field of cloud computing, in particular to a 5G mobile network node detection system based on cloud computing.
Background
The development of 5G technology is currently very hot around the world, and mainstream standardization bodies both at home and abroad have recognized the urgency of the development of the 5G technology at this stage, with the development from 4G to 5G, the user demand is increasing continuously, the indoor and outdoor data traffic is expanding greatly, and using Universal Mobile Telecommunications System (UMTS) radio access technology or 5GPP long term evolution (L TE) radio access technology, an intermediate transport network is available for transporting data between different nodes of a mobile network, in particular between nodes of a Radio Access Network (RAN), such intermediate transport network may be a potential bottle of data traffic to and from User Equipment (UE), such as when transmitting downlink (D L) data traffic to the UE, congestion may occur in the transport network, and D L traffic to the UE is slowed down or even completely blocked.
Further, problems may also arise when different radio access technologies coexist in the mobile network, and different mechanisms for congestion handling may be applied by the different radio access technologies, which may cause problems regarding fairness between the different radio access technologies, i.e. may lead to severe congestion in the cloud computing based 5G mobile network base station node and the User Equipment (UE) transport network, leading to untimely and even disorderly reception of information interaction.
Disclosure of Invention
In view of the above situation, to overcome the defects of the prior art, an object of the present invention is to provide a 5G mobile network node detection system based on cloud computing, which can sample and calibrate a communication base station node signal in the 5G mobile network detection system, and convert the signal into a reference signal of a 5G mobile network node detection system terminal based on cloud computing.
The technical scheme includes that the cloud computing-based 5G mobile network node detection system comprises a signal sampling module and a feedback adjusting module, wherein the signal sampling module is used for sampling communication base station node signals in the cloud computing-based 5G mobile network node detection system and is connected with the feedback adjusting module, and signals output by the feedback adjusting module are sent to a cloud computing-based 5G mobile network node detection system terminal through a signal emitter E1;
the feedback regulation module comprises a triode Q1, the base of the triode Q1 is connected with a resistor R4, one end of a capacitor C2 and one end of an adjustable resistor RW1, the sliding end of the adjustable resistor RW1 is connected with one end of a resistor R5 and one end of a capacitor C7, the collector of the triode Q1 is connected with one end of a resistor R3, the other end of a resistor R4 is grounded, the other end of a resistor R3 is connected with the cathode of a diode D2, the other end of the capacitor C2 and an output port of the signal sampling module, the emitter of the triode Q1 is connected with the other end of a resistor R5 and one end of a resistor R15, the other end of the adjustable resistor RW1 is connected with one end of the capacitor C1 and one end of an inductor R1, one end of an inductor 1, the base of the other end of the triode Q1 and the other end of the resistor R1, one end of the resistor R1, the non-inverting input end of the resistor R1, the resistor R1 is connected with the non-phase of the non-phase amplifier R1, the non-inverting input end of the transistor R1, the non-phase amplifier, the non-emitter of the resistor R1 is connected with the emitter of the non-emitter of the transistor R1, the non-emitter of the non-emitter, the emitter of the non-emitter of the emitter, the emitter of the emitter, the emitter of the emitter, the emitter of the emitter 1, the emitter of the emitter, the emitter of the emitter 1, the emitter of the emitter, the emitter of the emitter, the emitter of.
Due to the adoption of the technical scheme, compared with the prior art, the invention has the following advantages;
1. the RC circuit composed of a resistor R4 and a capacitor C2 is used for filtering, then an adjustable resistor RW1, a capacitor C7 and an inductor L1 are used for forming a frequency modulation circuit, the capacitor C1 is a decoupling capacitor, the signal-to-noise ratio is reduced, and high-frequency harmonics are filtered by the inductor L1, so that the signal frequency is adjusted, in order to prevent abnormal peak signal distortion in signals, a triode Q1 is used for feeding back signals to an inverting input end of an operational amplifier AR5, meanwhile, the resistor R5 plays a role in voltage division, on the premise of stable frequency, the triode Q2 is used for amplifying signal voltage to compensate signal conduction loss, then the capacitor C4 is used for decoupling, the signal-to-noise ratio is reduced, so that the resonance phenomenon of the inductor L2 is guaranteed, the voltage of two ends of the resistor R10 is increased, the effect of widening the pulse width of the signals is achieved, the accuracy of receiving the reference signals by the cloud computing-based 5G mobile network node;
2. in order to ensure the accuracy of a system terminal for receiving a reference signal, an MOS tube Q3 is used for detecting an output signal of an operational amplifier AR2 and the potential difference of an emitter of a triode Q2, a feedback abnormal signal is further calibrated to a feedback signal through a voltage regulating circuit consisting of an operational amplifier AR4 and an operational amplifier AR3, the operational amplifier AR4 plays a role of buffering the signal, the operational amplifier AR3 plays a role of comparing the signal to ensure that the signal further calibrates the feedback signal on the premise of stability, so as to ensure the accuracy of the signal sent by a final signal emitter E1, then the operational amplifier AR5 is used for further comparing an output signal of the operational amplifier AR3 with the signal potential of the emitter of the triode Q1, the signal is directly divided into two paths for fine adjustment, one path is directly input to a signal input port of a feedback adjusting module, a signal source is adjusted, the two paths are fed back to an inverting input end of the operational amplifier, the function of adjusting the output signal waveform of the operational amplifier AR2 is achieved, so that two-path adjustment realizes direct and indirect calibration of the signal waveform of the last signal transmitter E1, and the signal waveform is finally sent to the 5G mobile network node detection system terminal based on cloud computing through the signal transmitter E1, and the 5G mobile network node detection system terminal based on cloud computing can timely and accurately respond to serious congestion phenomena in a network base station node and a User Equipment (UE) transmission network.
Drawings
Fig. 1 is a schematic diagram of a feedback adjustment module of a cloud computing-based 5G mobile network node detection system according to the present invention.
Fig. 2 is a signal sampling module diagram of the cloud computing-based 5G mobile network node detection system of the present invention.
Detailed Description
The foregoing and other aspects, features and advantages of the invention will be apparent from the following more particular description of embodiments of the invention, as illustrated in the accompanying drawings in which reference is made to figures 1-2. The structural contents mentioned in the following embodiments are all referred to the attached drawings of the specification.
In the first embodiment, the cloud-computing-based 5G mobile network node detection system comprises a signal sampling module and a feedback adjustment module, wherein the signal sampling module samples signals of communication base station nodes in the cloud-computing-based 5G mobile network node detection system, the signal sampling module is connected with the feedback adjustment module, and signals output by the feedback adjustment module are sent to a cloud-computing-based 5G mobile network node detection system terminal through a signal emitter E1;
the feedback adjusting module firstly uses an RC circuit consisting of a resistor R4 and a capacitor C2 for filtering, then uses an adjustable resistor RW1, a capacitor C7 and an inductor 7 to form a frequency modulation circuit, the capacitor C7 is a decoupling capacitor for reducing the signal-to-noise ratio, the inductor 7 filters high-frequency harmonics, thereby realizing the function of adjusting the signal frequency, in order to prevent abnormal peak signal distortion in the signal, the triode Q7 is used for feeding back the signal into the inverting input end of the operational amplifier AR 7, meanwhile, the resistor R7 plays a role of voltage division, on the premise of stable frequency, the triode Q7 is used for amplifying the signal voltage, so as to compensate the signal conduction loss, then the capacitor C7 is used for decoupling, the signal-to-noise ratio is reduced, so as to ensure that the inductor 7 2 generates a resonance phenomenon, two ends of the resistor R7 are increased, the role of widening the pulse width of the signal is played, the role of widening the terminal receiving the reference signal of the AR mobile network node detecting system based on cloud computing, the terminal of the AR 7 is used for further filtering the signal, so as to ensure that the terminal of the signal is used for further adjusting the noise signal output by the emitter of the signal, the terminal of the operational amplifier 7, the terminal, the emitter 7, the emitter of the signal is used for adjusting the signal, the emitter 7, the emitter for directly adjusting the emitter of the emitter, the emitter 7, the emitter of the emitter for adjusting the emitter of the emitter 7, the emitter of the emitter for adjusting the emitter of the emitter, the emitter of the emitter for adjusting the emitter for the emitter, the emitter of the emitter for adjusting the emitter, the emitter of the emitter for adjusting the;
the feedback regulation module has a specific structure that the base of a triode Q1 is connected with one end of a resistor R4, a capacitor C2 and one end of an adjustable resistor RW1, the sliding end of the adjustable resistor RW1 is connected with one end of a resistor R5 and one end of a capacitor C7, the collector of a triode Q1 is connected with one end of a resistor R3, the other end of a resistor R4 is grounded, the other end of a resistor R3 is connected with the cathode of a diode D2, the other end of a capacitor C2 and the output port of the signal sampling module, the emitter of a triode Q1 is connected with the other end of a resistor R5 and one end of a resistor R15, the other end of an adjustable resistor RW1 is connected with the other end of a capacitor C7 and one end of a resistor R6 and an inductor 6, the other end of an inductor Q6 is connected with the base of the triode Q6, the AR of the resistor R6, one end of the AR, one end of the resistor R6, the non-phase resistor R6, the emitter of the transistor R6 is connected with the non-phase emitter of the non-emitter of the resistor R6, the emitter of the non-phase emitter of the transistor R6, the emitter of the emitter, the emitter of the emitter, the emitter of the emitter, the emitter of the emitter, the emitter of the emitter, the emitter of.
In the second embodiment, on the basis of the first embodiment, the signal sampling module selects a signal sampler J1 with a model of DAM-3056AH to sample a communication base station node signal in the cloud computing-based 5G mobile network node detection system, the operational amplifier AR1 buffers a signal, a power supply terminal of the signal sampler J1 is connected to +5V, a ground terminal of the signal sampler J1 is grounded, an output terminal of the signal sampler J1 is connected to a negative electrode of the stabilivolt D1 and one end of the resistor R1, an anode of the stabilivolt D1 is grounded, the other end of the resistor R1 is connected to a non-inverting input terminal of the operational amplifier AR1, an inverting input terminal of the operational amplifier AR1 is connected to one end of the resistor R2, and an output terminal of the operational amplifier AR1 is connected to the other end of the resistor R2 and an input.
When the system is used specifically, the system comprises a signal sampling module and a feedback adjusting module, wherein the signal sampling module samples signals of communication base station nodes in the cloud computing-based 5G mobile network node detection system, the signal sampling module is connected with the feedback adjusting module, signals output by the feedback adjusting module are filtered by an RC circuit consisting of a resistor R4 and a capacitor C2, then an adjustable resistor RW1 and a capacitor C7 are used, an inductor 7 forms a frequency modulation circuit, the capacitor C7 is a decoupling capacitor to reduce the signal noise ratio, the inductor 7 filters high-frequency harmonics to realize the function of adjusting the signal frequency, in order to prevent abnormal peak signal distortion in the signals, the triode Q7 feeds back signals to the inverting input end of an operational amplifier AR 7, meanwhile, the resistor R7 plays a role of voltage division, on the premise of stable frequency, the triode Q7 amplifies signal voltage to compensate the signal conduction loss, the capacitor C7 plays a role of decoupling, the role of reducing the signal noise ratio to ensure that the inductance 362 generates a resonance phenomenon, the resistance R7 plays a role of adjusting the AR signal output of a stable frequency, the function of a signal of an AR, the terminal of a signal feedback amplifier, the terminal of an AR signal, the terminal of an AR gain signal feedback amplifier 7, the terminal of an AR signal emitter of an AR signal, the terminal of an AR 7, the terminal of an AR signal, the terminal of an AR 7, the terminal of an AR signal feedback amplifier 7, the terminal of an AR signal emitter 7, the terminal of an AR signal emitter for further adjusts a signal, the emitter for adjusting system, the emitter for the emitter 7, the emitter for adjusting the emitter for the emitter 7, the emitter for adjusting the emitter for.
While the invention has been described in further detail with reference to specific embodiments thereof, it is not intended that the invention be limited to the specific embodiments thereof; for those skilled in the art to which the present invention pertains and related technologies, the extension, operation method and data replacement should fall within the protection scope of the present invention based on the technical solution of the present invention.
Claims (2)
1. The cloud computing-based 5G mobile network node detection system comprises a signal sampling module and a feedback regulation module, and is characterized in that the signal sampling module samples signals of communication base station nodes in the cloud computing-based 5G mobile network node detection system, the signal sampling module is connected with the feedback regulation module, and signals output by the feedback regulation module are sent to a cloud computing-based 5G mobile network node detection system terminal through a signal emitter E1;
the feedback regulation module comprises a triode Q1, the base of the triode Q1 is connected with a resistor R4, one end of a capacitor C2 and one end of an adjustable resistor RW1, the sliding end of the adjustable resistor RW1 is connected with one end of a resistor R5 and one end of a capacitor C7, the collector of the triode Q1 is connected with one end of a resistor R3, the other end of a resistor R4 is grounded, the other end of a resistor R3 is connected with the cathode of a diode D2, the other end of the capacitor C2 and an output port of the signal sampling module, the emitter of the triode Q1 is connected with the other end of a resistor R5 and one end of a resistor R15, the other end of the adjustable resistor RW1 is connected with one end of the capacitor C1 and one end of an inductor R1, one end of an inductor 1, the base of the other end of the triode Q1 and the other end of the resistor R1, one end of the resistor R1, the non-inverting input end of the resistor R1, the resistor R1 is connected with the non-phase of the non-phase amplifier R1, the non-inverting input end of the transistor R1, the non-phase amplifier, the non-emitter of the resistor R1 is connected with the emitter of the non-emitter of the transistor R1, the non-emitter of the non-emitter, the emitter of the non-emitter of the emitter, the emitter of the emitter, the emitter of the emitter, the emitter of the emitter 1, the emitter of the emitter, the emitter of the emitter 1, the emitter of the emitter, the emitter of the emitter, the emitter of.
2. The cloud computing-based 5G mobile network node detection system as claimed in claim 1, wherein the signal sampling module comprises a DAM-3056AH signal sampler J1, a power supply terminal of a signal sampler J1 is connected with +5V, a ground terminal of a signal sampler J1 is connected with ground, an output terminal of the signal sampler J1 is connected with a negative electrode of a voltage regulator tube D1 and one end of a resistor R1, an anode of a voltage regulator tube D1 is connected with ground, the other end of the resistor R1 is connected with a non-inverting input terminal of the amplifier AR1, an inverting input terminal of the amplifier AR1 is connected with one end of the resistor R2, and an output terminal of the amplifier AR1 is connected with the other end of the resistor R2 and an input port of the feedback adjustment module.
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| CN202010476517.3A CN111447641A (en) | 2020-05-29 | 2020-05-29 | 5G mobile network node detection system based on cloud computing |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111953306A (en) * | 2020-08-26 | 2020-11-17 | 郑州工程技术学院 | Big data multi-center combined control system |
| CN112506113A (en) * | 2020-12-29 | 2021-03-16 | 无锡晓群机电科技有限公司 | Smart city electric power big data information acquisition system |
| CN113507715A (en) * | 2021-06-08 | 2021-10-15 | 山西三友和智慧信息技术股份有限公司 | Base station communication resource management system |
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2020
- 2020-05-29 CN CN202010476517.3A patent/CN111447641A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111953306A (en) * | 2020-08-26 | 2020-11-17 | 郑州工程技术学院 | Big data multi-center combined control system |
| CN111953306B (en) * | 2020-08-26 | 2021-03-02 | 郑州工程技术学院 | Big data multi-center combined control system |
| CN112506113A (en) * | 2020-12-29 | 2021-03-16 | 无锡晓群机电科技有限公司 | Smart city electric power big data information acquisition system |
| CN112506113B (en) * | 2020-12-29 | 2021-08-10 | 航天亮丽电气有限责任公司 | Smart city electric power big data information acquisition system |
| CN113507715A (en) * | 2021-06-08 | 2021-10-15 | 山西三友和智慧信息技术股份有限公司 | Base station communication resource management system |
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Application publication date: 20200724 |