Link quality control method and device based on 5G private network

Abstract

The invention discloses a link quality control method and device based on a 5G private network. The method comprises the following steps: establishing a 5G private network base station system; performing link control on a core network of the 5G private network base station system; adjusting parameters; and according to an application scene, applying parameter interference in stages according to requirements, and determining the interference rejection limit of the 5G private network terminal. According to the invention, a set of 5G private network base station device is established, five parameters including link bandwidth, time delay, jitter, packet loss rate and bit error rate are cooperatively controlled in a 5G core network, and accurate parameter adjustment is realized by adopting a TC command according to test requirements of a user on a 5G terminal. Quantitative anti-interference test data are provided for 5G terminal application research and development, a reliable environment is provided for 5G instrument equipment performance verification, and application of the 5G technology in the high-precision fields such as industrial detection and telemedicine is promoted.

Description

Technical Field

[0001] This invention belongs to the field of communication technology, and in particular relates to a link quality control method and device based on 5G private network. Background Technology

[0002] With the widespread application of 5G technology in industries such as manufacturing, healthcare, and scientific research, link quality control in 5G private networks has become crucial for ensuring reliable equipment operation. From the perspective of current patent status, existing technologies still have shortcomings in terms of the refinement and integration of link quality control devices.

[0003] Patent technology research revealed that Lierda Technology Group Co., Ltd.'s "A Virtual Private Network Communication System and Method Based on 5G Terminals" (Publication No. CN119815418A) improves service quality through dual-link collaboration, but it does not involve precise control devices for core parameters such as bandwidth and latency, and the control logic is dispersed on the terminal side, making it difficult to meet the unified control requirements at the private network level. Longxun (Xuzhou) Intelligent Technology Co., Ltd.'s "A QoS Performance Detection System and Method Based on 5G Customized Private Network Adaptive Adjustment" (Authorization Announcement No. CN115150743A) achieves QoS adaptive adjustment, but lacks dedicated hardware devices to support multi-parameter collaborative control, resulting in limited parameter adjustment accuracy and response speed.

[0004] Regarding link control devices, existing patents such as "A method and device for monitoring network link quality" (publication number CN111049697A) mainly focus on monitoring functions and do not integrate parameter adjustment modules, thus failing to achieve a closed loop of "monitoring-control-feedback".

[0005] In summary, existing technologies suffer from two major drawbacks: first, link quality control methods lack coordinated and precise adjustment logic for the five core parameters; second, there is a lack of integrated control devices specifically adapted for 5G private networks, making it difficult to meet the requirements of 5G terminal anti-interference testing and instrument performance testing for a highly reliable and customizable network environment. Therefore, developing integrated methods and devices is of great significance. Summary of the Invention

[0006] Purpose of the Invention: The purpose of this invention is to provide a link quality control method and apparatus based on 5G private networks. This addresses the problem that existing 5G private network systems cannot directly control link parameters from the user level. Specifically, it provides a link quality control method that, by building a 5G private network base station device, coordinates the control of five parameters—link bandwidth, latency, jitter, packet loss rate, and bit error rate—within the 5G core network. Based on the user's testing requirements for 5G terminals, TC commands are used to precisely adjust these parameters.

[0007] Technical solution: The present invention provides a link quality control method based on a 5G private network, comprising the following steps:

[0008] Step 1: Build a 5G private network base station system;

[0009] Step 2: Perform link control on the core network of the 5G private network base station system;

[0010] Step 3: Adjust the parameters;

[0011] Step 4: Apply parameter interference in stages according to the application scenario and requirements to determine the interference resistance limit of the 5G private network terminal.

[0012] Further, step 1 specifically involves: constructing a private network system including 5G base stations. The base stations are deployed in the target area and equipped with high-gain antennas (gain ≥ 15dBi), multi-core data processing units (main frequency ≥ 2.4GHz), and 10Gbps fiber optic communication interfaces. This ensures signal coverage strength in the target area is ≥ -75dBm. Initially, the link parameters tend towards ideal values, specifically: bandwidth ≥ 1Gbps, latency ≤ 20ms, jitter ≤ 10ms, packet loss rate ≤ 0.1%, and bit error rate ≤ 10%. -6 .

[0013] Furthermore, step 2 specifically involves executing the link control procedure in the 5G private network core network:

[0014] Parameter configuration: Receive test requirements, set target values ​​and adjustment steps for bandwidth, latency, jitter, packet loss rate, and bit error rate;

[0015] Command generation: The corresponding TC command is automatically generated based on the target parameters. Dedicated command templates are used for different parameters. Among them, the bandwidth adjustment adopts the TBF token bucket algorithm, and the latency adjustment adopts the netem delay queue.

[0016] Command issuance: Commands are sent to the dedicated 5G core network interface card via the SSH protocol to perform parameter adjustments;

[0017] Real-time monitoring: Collect actual link parameter values ​​every second and compare them with target values ​​to calculate the deviation;

[0018] Feedback adjustment: If the deviation exceeds the threshold ±5%, a correction command is automatically generated to dynamically optimize the parameters to the target range.

[0019] Furthermore, step 3 specifically involves adjusting the five parameters;

[0020] Bandwidth adjustment: The data transmission rate can be limited by the TC command "tc qdisc add dev eth0 root tbfrate[target value]burst[burst value]latency[latency value]", supporting continuous adjustment from 1Mbps to 1Gbps with an accuracy of ±2%.

[0021] Latency adjustment: The command "tc qdisc add dev eth0 root netem delay[target value]" is used to control the latency through packet buffering. The adjustment range is 1ms-200ms, with an accuracy of ±2ms.

[0022] Jitter adjustment: The command "tc qdisc add dev eth0 root netem delay[baseline delay][jitter range]" is used to control the fluctuation of the data packet interval, with a jitter range of 1ms-20ms and an accuracy of ±1ms.

[0023] Packet loss rate adjustment: Use the command "tc qdisc add dev eth0 root netem loss[target value]" to randomly drop packets, with an adjustment range of 0.1%-5% and an accuracy of ±0.1%;

[0024] Bit error rate adjustment: The command "tc qdisc add dev eth0 root netem corrupt [target value]" is used to introduce bit errors, with an adjustment range of 10⁻⁶-10⁻³ and a precision of ±10%.

[0025] Furthermore, step 4 specifically involves applying parameter interference in stages according to the test requirements based on the ideal private network: first, adjusting a single parameter individually, and then adjusting multiple parameters together, recording the performance of 5G terminals and 5G instruments and equipment in real time to determine their anti-interference limits; among them, adjusting a single parameter includes gradually increasing the packet loss rate; adjusting multiple parameters together includes high latency + high jitter.

[0026] The present invention also discloses a link quality control device based on a 5G private network, comprising a hardware layer and a software layer; the hardware layer includes a control server, a network interface module, a monitoring module, and a power supply module; the software layer includes a parameter configuration module, a TC command generation module, a command issuance module, a real-time monitoring module, and a feedback control module.

[0027] The control server is used to deploy the software layer;

[0028] The network interface module is used to connect the core network and 5G base stations;

[0029] The monitoring module is used to integrate an SNMP protocol acquisition unit to collect link quality data;

[0030] The power module provides power to the hardware layer;

[0031] The parameter configuration module provides a visual interface that allows users to input target parameter values ​​and adjust step size and test duration.

[0032] The TC command generation module has a built-in parameter and command mapping library, which automatically generates compliant TC commands based on the target parameters and supports command syntax verification.

[0033] The command delivery module establishes an encrypted connection based on the SSH protocol, enabling commands to be securely transmitted to network devices;

[0034] The real-time monitoring module collects link bandwidth utilization, latency jitter, packet loss count, and number of bit errors, and generates dynamic curves.

[0035] The feedback control module compares the actual parameters with the target value and automatically triggers the generation of correction commands to achieve closed-loop control.

[0036] Furthermore, the control server uses dual Intel Xeon Gold processors, 128GB DDR4 memory, 2TB NVMe solid-state drives, runs the Linux Ubuntu 20 operating system, and supports a 10Gbps Ethernet interface.

[0037] Furthermore, the network interface module includes at least eight Gigabit Ethernet interfaces and at least four LC fiber optic interfaces.

[0038] The present invention also discloses a computer device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method of the present invention.

[0039] The present invention also discloses a computer-readable storage medium having a computer program / instructions stored thereon, which, when executed by a processor, implements the steps of the method of the present invention.

[0040] Beneficial effects: Compared with the prior art, the present invention has the following significant advantages:

[0041] 1. Methodological advantages

[0042] Precise parameter adjustment: Through TC commands and closed-loop feedback mechanisms, the adjustment accuracy of the five core parameters that reflect link quality is superior to existing technologies, meeting stringent testing requirements.

[0043] Flexible scenario adaptation: It supports independent adjustment of a single parameter and joint adjustment of multiple parameters, which can simulate complex network environments and comprehensively test the anti-interference capability of 5G terminals;

[0044] Standardized operating procedures: Establish a standardized process of "configuration-generation-distribution-monitoring-correction" to reduce errors caused by human intervention.

[0045] 2. Advantages at the device level

[0046] High integration: Deep integration of hardware and software avoids compatibility issues when multiple devices work together;

[0047] Fast response speed: TC command generation and issuance latency ≤10ms;

[0048] Highly scalable: The software modules support upgrades, allowing for the addition of new parameter adjustment types or adaptation to new 5G private network terminal devices;

[0049] High stability: Redundant hardware design and encrypted transmission mechanism ensure continuous test failure-free operation time ≥1000 hours.

[0050] 3. Application Value

[0051] It provides quantitative anti-interference test data for the research and development of 5G terminal applications, provides a reliable environment for the performance verification of 5G instruments and equipment, and promotes the application of 5G technology in high-precision fields such as industrial testing and telemedicine. Attached Figure Description

[0052] Figure 1 This is a schematic diagram of the device structure.

[0053] Figure 2 This is a system architecture diagram.

[0054] Figure 3 This is a data flow diagram.

[0055] Figure 4 The diagram shows the control command issuance.

[0056] Figure 5 Flowchart for parameter adjustment.

[0057] Figure 6 Flowchart for adjusting a single bandwidth parameter.

[0058] Figure 7 This is a test image of a remote medical robot. Detailed Implementation

[0059] The technical solution of the present invention will be further described below with reference to the accompanying drawings.

[0060] This invention includes a link quality control method based on 5G private networks and an apparatus for implementing the method. Through the process of "base station system construction - core network control - parameter adjustment - scenario application", the link quality can be accurately and controllably controlled by an integrated device.

[0061] 1. 5G Private Network Link Quality Control Methods

[0062] 1.15G Private Network Base Station System Construction

[0063] Construct a private network system including a set of 5G base stations. The base stations are deployed in key locations within the target area, equipped with high-gain antennas (gain ≥ 15dBi), multi-core data processing units (main frequency ≥ 2.4GHz), and 10Gbps fiber optic communication interfaces. This ensures signal coverage strength ≥ -75dBm in the target area, with initial link parameters approaching ideal values ​​(bandwidth ≥ 1Gbps, latency ≤ 20ms, jitter ≤ 10ms, packet loss rate ≤ 0.1%, bit error rate ≤ 10%). -6 ).

[0064] 1.2 Core Network Link Control Logic

[0065] Execute link control procedures in the 5G private network core network:

[0066] Parameter configuration: Receive test requirements, set target values ​​and adjustment steps for bandwidth, latency, jitter, packet loss rate, and bit error rate;

[0067] Command generation: Automatically generate corresponding TC commands based on target parameters, and use dedicated command templates for different parameters (e.g., use the TBF token bucket algorithm for bandwidth adjustment and the netem delay queue for latency adjustment);

[0068] Command issuance: Send commands to the dedicated 5G core network interface card (such as eth0) via the SSH protocol to perform parameter adjustments;

[0069] Real-time monitoring: Collect actual link parameter values ​​every second and compare them with target values ​​to calculate the deviation;

[0070] Feedback adjustment: If the deviation exceeds the threshold (±5%), a correction command is automatically generated to dynamically optimize the parameters to the target range.

[0071] 1.3 Adjustment of five parameters

[0072] Bandwidth adjustment: The data transmission rate can be limited by the TC command "tc qdisc add dev eth0 root tbfrate[target value]burst[burst value]latency[latency value]", supporting continuous adjustment from 1Mbps to 1Gbps with an accuracy of ±2%.

[0073] Latency adjustment: The command "tc qdisc add dev eth0 root netem delay[target value]" is used to control the latency through packet buffering. The adjustment range is 1ms-200ms, with an accuracy of ±2ms.

[0074] Jitter adjustment: The command "tc qdisc add dev eth0 root netem delay[baseline delay][jitter range]" is used to control the fluctuation of the data packet interval, with a jitter range of 1ms-20ms and an accuracy of ±1ms.

[0075] Packet loss rate adjustment: Use the command "tc qdisc add dev eth0 root netem loss[target value]" to randomly drop packets, with an adjustment range of 0.1%-5% and an accuracy of ±0.1%;

[0076] Bit error rate adjustment: The command "tc qdisc add dev eth0 root netem corrupt [target value]" is used to introduce bit errors, with an adjustment range of 10⁻⁶-10⁻³ and a precision of ±10%.

[0077] 1.4 Application Scenarios

[0078] Based on an ideal private network, parameter interference is applied in stages according to testing requirements:

[0079] First, adjust a single parameter individually (such as gradually increasing the packet loss rate), then adjust multiple parameters together (such as high latency + high jitter), and record the performance of 5G terminals and 5G instruments and equipment in real time to determine their interference resistance limit.

[0080] 2. 5G private network link quality control device

[0081] The device is a hardware and software integrated system for implementing the above method, comprising:

[0082] 2.1 Hardware Components

[0083] Control server: Equipped with dual Intel Xeon Gold processors (≥28 cores), 128GB DDR4 memory, 2TB NVMe solid-state drive, running Linux Ubuntu 20 operating system, and supporting 10Gbps Ethernet interface for deploying software modules;

[0084] Network interface module: Includes Gigabit Ethernet interfaces (≥8) and fiber optic interfaces (4 LC type, supporting 10Gbps), used to connect the core network and 5G base stations;

[0085] Monitoring module: Used to integrate SNMP protocol acquisition unit, supporting parameter sampling once per second to collect link quality data;

[0086] Power module: Redundant power supply design, supports AC220V input, ensuring stable operation of the device.

[0087] 2.2 Software Modules

[0088] Parameter configuration module: Provides a visual interface that allows users to input target parameter values, adjust step size, and test duration;

[0089] TC command generation module: Built-in parameter-command mapping library, automatically generates compliant TC commands based on target parameters, and supports command syntax verification;

[0090] Command delivery module: Establishes an encrypted connection based on the SSH protocol to ensure secure transmission of commands to network devices;

[0091] Real-time monitoring module: Collects data such as link bandwidth utilization, latency jitter, packet loss count, and number of bit errors, and generates dynamic curves;

[0092] Feedback control module: By comparing actual parameters with target values, it automatically triggers the generation of correction commands to achieve closed-loop control.

[0093] 2.3 Device Working Process

[0094] ① Users input their test requirements through the parameter configuration module;

[0095] ②The TC command generation module generates the corresponding command, which is then sent to the core network equipment via the command distribution module;

[0096] ③ The monitoring module collects link parameters in real time and feeds them back to the feedback control module;

[0097] ④ If the parameter deviation exceeds the standard, the feedback control module drives the TC command generation module to generate a correction command until the parameter meets the standard;

[0098] ⑤ Record the entire adjustment log and monitoring data for testing and analysis.

[0099] like Figure 1 As shown, the hardware layer includes the physical connections of the control server, network interface module, monitoring module, and power module; as... Figure 2 As shown, the software layer includes the logical interaction relationships of the parameter configuration module, TC command generation module, command issuance module, real-time monitoring module, and feedback control module.

[0100] like Figure 3 As shown, the overall architecture for 5G private network link quality control includes: a 5G base station (including BBU+SW+RRU) connected to the 5G terminal via air interface; and a control device (control server + network interface module) connected to the switch via wired connection.

[0101] like Figure 4 As shown, the data flow is as follows: data from terminal 1 goes through the base station and switch to the core network, and then is forwarded by the core network through the switch and base station to terminal 2, with the flow sequence number ①→⑩.

[0102] like Figure 5 As shown, control commands are sent from the device to the core network via the switch, flowing from sequence number ①→②.

[0103] like Figure 6 As shown in the flowchart, the adjustment process for a single parameter (such as bandwidth) is as follows: Input target bandwidth value → Generate TC command → Send to control device → Monitor actual bandwidth → Calculate deviation → If it exceeds the standard, generate correction command → Repeat monitoring until the standard is met.

[0104] 1. Deployment and Implementation of the Device

[0105] Deploy the device in a 20m×15m×3m research darkroom:

[0106] Base station system: A 5G base station is deployed in the central location. The RRU supports the 3.5GHz frequency band, with a transmit power of 46dBm and an antenna gain of 15dBi, ensuring signal coverage of ≥-75dBm in the anechoic chamber.

[0107] Control device: Dell PowerEdge R750 server, configured with 4 Gigabit Ethernet ports and 1 10Gbps fiber optic port, connected to QNAP QSW-M48-4C switch via Gigabit Ethernet cable;

[0108] Software deployment: Install the link control software V1.0, and the parameter configuration interface supports web access.

[0109] 2. Implementation of Link Parameter Adjustment

[0110] Taking the testing of 5G remote medical robots as an example: the test implementation architecture is as follows Figure 7 As shown;

[0111] Test Example 1: Bandwidth Adjustment: Input the target bandwidth of 50Mbps through the device configuration interface, and the software generates the command "tcqdisc add dev eth0 root tbfrate 50mbitburst 10mbit latency 50ms" and sends it to the control device. The bandwidth stabilizes at 50±2Mbps within 10 seconds.

[0112] Test Example 2: Latency + Jitter Adjustment: Set latency to 50ms and jitter to 5ms, generate the command "tc qdisc add deveth0 root netem delay 50ms 5ms", and the actual measured latency is 50±1ms and jitter is 4.8±0.2ms;

[0113] Test Example 3: Packet Loss Rate Adjustment: Gradually increase the packet loss rate to 1% using the command "tc qdisc add dev eth0root netem loss 1%". The actual measured packet loss rate is 1.0 ± 0.1%, and the success rate of remote video data transmission decreases from 99.8% to 92.5%.

[0114] Test Example 4: Bit Error Rate Adjustment: The link bit error rate was adjusted from 10 using the command "tc qdisc add dev eth0 root netemcorrupt 0.0001". -6 Adjust to 10 -4 Each level of testing lasts 15 minutes, and the device records the error correction success rate in real time. When the bit error rate reaches 10%, the device performs the test. -4 The error correction success rate was 85.2%.

[0115] Test Example 5: Multi-parameter joint test: With bandwidth of 50Mbps, latency of 80ms, and jitter of 10ms set, the test was conducted continuously for 2 hours. The video buffer utilization rate remained stable at 70% without overflow. The control command feedback time increased from 20ms to 85ms.

[0116] In summary, the interference immunity limit test of the 5G remote robot was conducted as follows: by gradually increasing the voltage of the device, the transmission bandwidth of the surgical video of the remote medical robot was stabilized at 40Mbps, and the packet loss immunity limit of the doctor's control command transmission was 1.2%, and the error rate immunity limit was 2×10. -4 This provides data support for optimizing remote surgery using 5G telemedicine robots.

Claims

1. A link quality control method based on a 5G private network, characterized in that, Includes the following steps: Step 1: Build a 5G private network base station system; Step 2: Perform link control on the core network of the 5G private network base station system; Step 3: Adjust the parameters; Step 4: Apply parameter interference in stages according to the application scenario and requirements to determine the interference resistance limit of the 5G private network terminal.

2. The link quality control method based on a 5G private network according to claim 1, characterized in that, Step 1 specifically involves constructing a private network system including 5G base stations. The base stations are deployed in the target area and equipped with high-gain antennas (gain ≥ 15dBi), multi-core data processing units (main frequency ≥ 2.4GHz), and 10Gbps fiber optic communication interfaces. This ensures signal coverage strength in the target area is ≥ -75dBm. Initially, the link parameters tend towards ideal values, specifically: bandwidth ≥ 1Gbps, latency ≤ 20ms, jitter ≤ 10ms, packet loss rate ≤ 0.1%, and bit error rate ≤ 10%. -6 .

3. The link quality control method based on a 5G private network according to claim 1, characterized in that, Step 2 specifically involves executing the link control procedure in the 5G private network core network: Parameter configuration: Receive test requirements, set target values ​​and adjustment steps for bandwidth, latency, jitter, packet loss rate, and bit error rate; Command generation: The corresponding TC command is automatically generated based on the target parameters. Dedicated command templates are used for different parameters. Among them, the bandwidth adjustment adopts the TBF token bucket algorithm, and the latency adjustment adopts the netem delay queue. Command issuance: Commands are sent to the dedicated 5G core network interface card via the SSH protocol to perform parameter adjustments; Real-time monitoring: Collect actual link parameter values ​​every second and compare them with target values ​​to calculate the deviation; Feedback adjustment: If the deviation exceeds the threshold ±5%, a correction command is automatically generated to dynamically optimize the parameters to the target range.

4. The link quality control method based on a 5G private network according to claim 1, characterized in that, Step 3 specifically involves adjusting the five parameters; Bandwidth adjustment: The data transmission rate can be limited by the TC command "tc qdisc add dev eth0 root tbfrate[target value]burst[burst value]latency[latency value]", supporting continuous adjustment from 1Mbps to 1Gbps with an accuracy of ±2%. Latency adjustment: Use the command "tc qdisc add dev eth0 root netem delay[target value]" to control latency through packet buffering. The adjustment range is 1ms-200ms, with an accuracy of ±2ms. Jitter adjustment: The command "tc qdisc add dev eth0 root netem delay[baseline delay][jitter range]" is used to control the fluctuation of the data packet interval. The jitter range is 1ms-20ms, and the accuracy is ±1ms. Packet loss rate adjustment: Use the command "tc qdisc add dev eth0 root netem loss[target value]" to randomly drop packets, with an adjustment range of 0.1%-5% and an accuracy of ±0.1%. Bit error rate adjustment: Introduce bit errors using the command "tc qdisc add dev eth0 root netem corrupt [target value]", with an adjustment range of 10. -6 -10 -3 Accuracy ±10%.

5. The link quality control method based on a 5G private network according to claim 1, characterized in that, Step 4 specifically involves applying parameter interference in stages based on the idealized private network, according to test requirements: first, adjusting a single parameter individually, then adjusting multiple parameters together, recording the performance of 5G terminals and 5G instruments in real time, and determining their anti-interference limits; among them, single parameter adjustment includes adjusting by limiting bandwidth, applying latency, applying jitter, increasing packet loss rate, and increasing bit error rate; multi-parameter adjustment includes adjusting by combining two or more of the following methods: limiting bandwidth, applying latency, applying jitter, increasing packet loss rate, and increasing bit error rate.

6. A link quality control device based on a 5G private network, used to implement the method as described in claim 1, characterized in that, It includes a hardware layer and a software layer; the hardware layer includes a control server, a network interface module, a monitoring module, and a power supply module; the software layer includes a parameter configuration module, a TC command generation module, a command issuance module, a real-time monitoring module, and a feedback control module. The control server is used to deploy the software layer; The network interface module is used to connect the core network and 5G base stations; The monitoring module is used to integrate an SNMP protocol acquisition unit to collect link quality data; The power module provides power to the hardware layer; The parameter configuration module provides a visual interface that allows users to input target parameter values ​​and adjust step size and test duration. The TC command generation module has a built-in parameter and command mapping library, which automatically generates compliant TC commands based on the target parameters and supports command syntax verification. The command delivery module establishes an encrypted connection based on the SSH protocol, enabling commands to be securely transmitted to network devices; The real-time monitoring module collects link bandwidth utilization, latency jitter, packet loss count, and number of bit errors, and generates dynamic curves. The feedback control module compares the actual parameters with the target value and automatically triggers the generation of correction commands to achieve closed-loop control.

7. A link quality control device based on a 5G private network according to claim 6, characterized in that, The control server uses dual Intel Xeon Gold processors, 128GB DDR4 memory, 2TB NVMe solid-state drives, runs the Linux Ubuntu 20 operating system, and supports a 10Gbps Ethernet interface.

8. A link quality control device based on a 5G private network according to claim 6, characterized in that, The network interface module includes at least 8 Gigabit Ethernet interfaces and at least 4 LC fiber optic interfaces.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the steps of the method of claim 1.

10. A computer-readable storage medium having a computer program / instructions stored thereon, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method of claim 1.

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