5G RedCap terminal equipment and system

Abstract

The invention relates to the technical field of mobile communication, in particular to 5G RedCap terminal equipment and system, which comprises the following contents: a transmission priority management module, a network environment monitoring module, a network performance analysis module, a performance degradation analysis module and an operation mode adjustment module. In the invention, by analyzing real-time equipment behaviors, adjusting transmission priorities of various data packets, improving the utilization rate of network resources and the real-time responsiveness of data transmission, and dynamically adjusting network settings by utilizing real-time monitoring of network signals and congestion conditions, network configuration quickly responds to changes of external conditions, so that the real-time performance of the network is improved. The data transmission delay and packet loss rate are reduced, the network adaptability and the user experience are enhanced, the energy consumption is effectively reduced by monitoring the electric quantity state of the equipment in real time, adjusting the operation mode and optimizing the equipment operation setting and power consumption, the 5G RedCap equipment is helped to adapt to the performance requirements under various application scenes, and the service life of the 5G RedCap equipment is prolonged. And economic and reliable service selection is provided for the user.

Description

Technical Field

[0001] The present invention relates to the field of mobile communication technologies, and particularly to a 5G RedCap terminal device and system. Background Art

[0002] The field of mobile communication technologies focuses on the development and application of wireless communication systems, covering the research and development of communication protocols and technical standards for smartphones, tablets, and various wireless connection devices. It involves aspects such as signal transmission, network architecture design, signal processing, data transmission optimization, and software and hardware innovation, including frequency allocation, signal modulation and demodulation, data encryption and compression, and the standardization of communication protocols. The aim is to support wireless data transmission between multiple devices and networks, adapt to various environmental and device requirements, including increasing communication speed, enhancing connection stability, optimizing energy efficiency, and network coverage, and meeting the growing global demand for mobile communication.

[0003] Among them, the 5G RedCap terminal system refers to a communication terminal equipped with 5G Reduced Capability technology, aiming to provide optimized 5G services for devices that require lower data rates and power consumption, and is applied to application scenarios that do not require full-function 5G support, including industrial Internet of Things devices, smart home systems, and smart wearable devices. Through 5G RedCap connection, it can achieve efficient data transmission and good network performance, while maintaining low costs and power consumption, providing a reliable and economical network connection method, meeting market demands, and improving the usage efficiency and economy of devices.

[0004] Traditional mobile communication technologies cannot effectively adapt to high-density network environments and diverse device requirements in terms of network congestion management, energy efficiency optimization, and real-time performance adjustment. They lack sufficient flexibility to respond to changes in network conditions in real time, resulting in slow data transmission speeds, increased latency, and packet loss rates in high-traffic scenarios. In terms of frequency band management and power control, they cannot be optimized according to the actual network load and device battery status, reducing the overall efficiency of the network and the energy usage efficiency of devices. They cannot accurately adjust the power output, causing the device to still operate at high power in a low-battery state, accelerating battery consumption, affecting the durability and stability of the device, limiting the possibility for users to obtain the optimal communication experience in different environments, and increasing operating costs. Summary of the Invention

[0005] In order to solve the technical problem of high costs and energy consumption in existing 5G communication technologies, embodiments of the present invention provide a 5G RedCap terminal device and system. The technical solution is as follows: On the one hand, a 5G RedCap terminal system is provided, which includes: Based on the device communication request information, the transmission priority management module analyzes the data packets to be transmitted, analyzes the type information of the data packets, and combines the real-time behavior of the device to adjust the transmission priority for multiple categories and form a data packet priority queue; Based on the data packet priority queue, the network environment monitoring module monitors and analyzes the network signal strength in real time, detects the network congestion status, evaluates the network availability and performance, and generates a network quality monitoring record; Based on the network quality monitoring record, the network performance analysis module monitors key indicators of various data transmissions, including latency and packet loss rate, analyzes and identifies factors causing network performance degradation, including signal occlusion and interference sources, and generates network stability diagnosis information; Using the network stability diagnosis information, the performance degradation analysis module adjusts the network configuration parameters in real time according to the reasons for network performance degradation, including adjusting the signal transmission frequency band, network access nodes, and transmission power, optimizing the network performance and communication efficiency, and generating network configuration parameters; Based on the network configuration parameters, the operation mode adjustment module monitors the power status of the device in real time and evaluates the data transmission requirements, adjusts the network configuration and device operation parameters, including signal transmission power, screen brightness, and background data synchronization settings, and generates an energy efficiency optimized transmission configuration.

[0006] As a further solution of the present invention, the data packet priority queue includes communication request information, data packet type information, and device real-time behavior information. The network quality monitoring record specifically refers to network signal strength detection records, network congestion status analysis results, network availability and performance evaluation information. The network stability diagnosis information includes latency indicators, packet loss rate indicators, and performance degradation diagnosis results. The network configuration parameters include signal transmission frequency band adjustment information, network access node adjustment parameters, and transmission power adjustment records. The energy efficiency optimized transmission configuration is specifically signal transmission power adjustment information, screen brightness settings, and background data synchronization configuration.

[0007] As a further solution of the present invention, the transmission priority management module includes: The data packet information extraction sub-module analyzes the data packets to be transmitted based on the device communication request information, identifies the type and source information of the data packets, and generates a type analysis result; Based on the type analysis result, the device behavior recognition sub-module analyzes the real-time behavior of the device, identifies the applications being used by the device, and marks the data packets of the target application, generating a behavior analysis result; Based on the behavior analysis result, the transmission priority adjustment sub-module adjusts the transmission priority of various types of data packets in real time to form a data packet priority queue.

[0008] As a further aspect of the present invention, the specific formula for real-time adjustment of the transmission priority for multiple types of data packets is: ; Wherein, represents the calculated priority score of the data packet, represents the weight based on the data packet type information, represents the behavior characteristic value of the device behavior analysis, represents the additional weight of the currently active applications of the user, represents the average value of all data packet behavior characteristic values, represents the total number of data packets included in the analysis, is the index of the data packet.

[0009] As a further aspect of the present invention, the network environment monitoring module includes: The network signal monitoring sub-module, based on the data packet priority queue, monitors the network signal strength of the device in real time and generates a signal strength monitoring result; The network congestion detection sub-module, based on the signal strength monitoring result, analyzes the signal strength to detect the network congestion condition in real time and generates a congestion condition monitoring result; The real-time performance evaluation sub-module, based on the congestion condition monitoring result, evaluates the availability and performance of the network in real time and generates a network quality monitoring record.

[0010] As a further aspect of the present invention, the network performance analysis module includes: The transmission performance monitoring sub-module, based on the network quality monitoring record, monitors and records multiple data transmission metrics in the network, including latency, packet loss rate, and data transmission volume, and generates a transmission metric monitoring result; The performance metric analysis sub-module, based on the transmission metric monitoring result, extracts the data characteristics of multiple key performance metrics, including peak and valley values, average values, and volatility, and generates a metric data characteristic result; The performance degradation analysis sub-module uses the metric data characteristic result to analyze and identify the reasons for the network performance degradation, including signal occlusion, interference sources, and device failures, and obtains network stability diagnosis information.

[0011] As a further aspect of the present invention, the performance degradation analysis module includes: The failure cause analysis sub-module, based on the network stability diagnosis information, analyzes the reasons for the performance degradation and identifies the network settings that need to be adjusted, including frequency band, access point, and power configuration, and generates an adjustment requirement identification result; The network configuration update sub-module adjusts multiple network settings according to the identified adjustment requirement results, including signal transmission frequency bands, network access nodes, and transmission power, implements network configuration optimization, and generates network setting adjustment results; The performance monitoring and analysis sub-module monitors and analyzes the adjusted network performance in real time according to the network setting adjustment results, including latency and packet loss rate, evaluates the effectiveness of parameter adjustment, and obtains network configuration parameters.

[0012] As a further solution of the present invention, the specific formula for monitoring and analyzing the adjusted network performance in real time is: ; Among them, represents the comprehensive score of network performance, represents the th monitored latency value, represents the th monitored packet loss rate value, is the weight coefficient of the latency value , is the weight coefficient of the packet loss rate , represents the total number of data points, is an index variable.

[0013] As a further solution of the present invention, the operation mode adjustment module includes: The power status monitoring sub-module monitors the power status of the device in real time based on the network configuration parameters, records the current power level, and generates device power monitoring information; The real-time demand analysis sub-module evaluates the stability and rate requirements of the device for data transmission in real time by analyzing the requirements of multiple applications for data rate and connection stability based on the device power monitoring information, and obtains a transmission demand evaluation result; The operation parameter adjustment sub-module adjusts the network configuration and device operation parameters according to the transmission demand evaluation result, including signal transmission power, screen brightness, and background data synchronization settings, optimizes the energy efficiency and communication quality of the device, and obtains an energy efficiency optimized transmission configuration.

[0014] On the other hand, a 5G RedCap terminal device is provided. The 5G RedCap terminal device includes: a processor; a memory, and computer-readable instructions are stored on the memory. When the computer-readable instructions are executed by the processor, any one of the systems in the above 5G RedCap terminal system is implemented.

[0015] The beneficial effects brought by the technical solutions provided in the embodiments of the present invention at least include: By analyzing the real-time behavior of the device, adjust the transmission priorities of various data packets, improve the utilization rate of network resources and the real-time responsiveness of data transmission. Utilize the real-time monitoring of network signals and congestion conditions to dynamically adjust network settings, enabling the network configuration to quickly respond to changes in external conditions, reducing data transmission latency and packet loss rate, enhancing the network's adaptability and user experience. By real-time monitoring the power status of the device and adjusting the operating mode, optimize the device operating settings and power consumption, effectively reducing energy consumption, helping 5G RedCap devices adapt to the performance requirements in various application scenarios, and providing users with economical and reliable service options. Description of the Drawings

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0017] Figure 1 It is the system flowchart of the present invention; Figure 2 It is the schematic diagram of the system framework of the present invention; Figure 3 It is the flowchart of the transmission priority management module of the present invention; Figure 4 It is the flowchart of the network environment monitoring module of the present invention; Figure 5 It is the flowchart of the network performance analysis module of the present invention; Figure 6 It is the flowchart of the performance degradation analysis module of the present invention; Figure 7 It is the flowchart of the operating mode adjustment module of the present invention. Detailed Embodiments

[0018] The following will describe the technical solutions in the present invention in conjunction with the drawings.

[0019] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as "example" in the present invention should not be construed as more preferred or more advantageous than other embodiments or design solutions. Exactly speaking, the use of the word "example" is intended to present concepts in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one of the two.

[0020] In the embodiments of the present invention, sometimes subscripts such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning to be expressed is the same.

[0021] To make the technical problems, technical solutions, and advantages to be solved by the present invention clearer, the following will be described in detail with reference to the accompanying drawings and specific embodiments.

[0022] An embodiment of the present invention provides a 5G RedCap terminal system. Please refer to Figures 1 to 2 , the present invention provides a technical solution. A 5G RedCap terminal system includes: Based on the device communication request information, the transmission priority management module analyzes the data packets to be transmitted, analyzes the type information of the data packets, and combines the real-time behavior of the device to adjust the transmission priority for multiple categories, forming a data packet priority queue; Based on the data packet priority queue, the network environment monitoring module monitors and analyzes the network signal strength in real time, detects the network congestion status, evaluates the network availability and performance, and generates a network quality monitoring record; Based on the network quality monitoring record, the network performance analysis module monitors key indicators of various data transmissions, including latency and packet loss rate, analyzes and identifies factors causing network performance degradation, including signal blockage and interference sources, and generates network stability diagnosis information; Using the network stability diagnosis information, the performance degradation analysis module adjusts the network configuration parameters in real time according to the reasons for network performance degradation, including adjusting the signal transmission frequency band, network access nodes, and transmission power, optimizing the network performance and communication efficiency, and generating network configuration parameters; Based on the network configuration parameters, the operation mode adjustment module monitors the power status of the device in real time and evaluates the data transmission requirements, adjusts the network configuration and device operation parameters, including signal transmission power, screen brightness, and background data synchronization settings, and generates an energy efficiency optimized transmission configuration.

[0023] The data packet priority queue includes communication request information, data packet type information, and device real-time behavior information. The network quality monitoring record specifically refers to network signal strength detection records, network congestion status analysis results, network availability and performance evaluation information. The network stability diagnosis information includes latency indicators, packet loss rate indicators, and performance degradation diagnosis results. The network configuration parameters include signal transmission frequency band adjustment information, network access node adjustment parameters, and transmission power adjustment records. The energy efficiency optimized transmission configuration is specifically signal transmission power adjustment information, screen brightness settings, and background data synchronization configuration.

[0024] Please refer to Figure 2 and Figure 3 , the transmission priority management module includes: Based on the device communication request information, the data packet information extraction sub-module analyzes the data packets to be transmitted, identifies the type and source information of the data packets, and generates a type analysis result; By applying data classification algorithms such as decision tree analysis, incoming data packets are classified. The content of the data packets includes video streams, audio data, and text information. The data type and source are identified. The video data comes from video conferencing applications, the audio data comes from VoIP calls, and the text comes from instant messaging services. The algorithm detects the protocol header information of the data packets, extracts the fields containing the data type, and identifies the data source by comparing protocol-specific signatures. Through the target steps, the data packets are classified into corresponding types, generating a detailed type analysis result. This result details the source and type of each type of data, providing a basis for subsequent network optimization and resource allocation.

[0025] Based on the type analysis result, the device behavior recognition sub-module analyzes the real-time behavior of the device, identifies the applications being used by the device, and marks the data packets of the target applications, generating a behavior analysis result. Using behavior pattern recognition technologies such as neural network analysis, deep learning is performed on the activity patterns of the device. This technology analyzes behavioral characteristics such as the data transmission frequency of the device and the application usage time. The neural network model is trained through target behavior data to identify the application programs that the device is actively using, such as social media applications, email clients, or online video platforms. In addition, the model also marks the data packets related to the target applications, marking all video stream data packets when using the video platform, improving the accuracy of data processing. Intelligent traffic management is performed according to the priority of the applications, generating a behavior analysis result. This result details the real-time behavior pattern of the device and the associated application data packets, providing decision support for network administrators.

[0026] Based on the behavior analysis result, the transmission priority adjustment sub-module adjusts the transmission priority of multiple types of data packets in real-time, forming a data packet priority queue. The specific formula for adjusting the transmission priority of multiple types of data packets in real-time is: ; Where, represents the calculated data packet priority score, represents the weight based on the data packet type information, represents the behavior characteristic value of the device behavior analysis, represents the additional weight of the currently active application of the user, represents the average value of the behavior characteristic values of all data packets, represents the total number of data packets included in the analysis, is the index of the data packet.

[0027] Formula: ; Detailed explanation of the formula and the derivation process of the formula calculation: The formula is used to calculate the priority score of data packets and adjust the transmission priority of data packets in the network; Meaning and setting values of parameters: : Weight of data packet type. Assume the weight of the target data packet under consideration is 0.7; : Additional weight of active applications. Assume the additional weight of the activity of the target data packet under consideration is 1; : Behavior characteristic value. Assume it is 50; : Average value of behavior characteristic values of all data packets. Assume it is 40; : Total number of data packets. Assume it is 10; Substitute the parameters into the formula for calculation: ; ; ; ; The result 2.69 indicates that the priority score of this data packet is 2.69, meaning that this data packet should obtain a higher priority during network resource allocation. The result reflects the importance and urgency of the data packet. The calculation process is used to ensure the reasonable allocation of network resources, give priority to meeting the current needs of users, and improve the response speed of the network and user satisfaction.

[0028] Please refer to Figure 2 and Figure 4 , the network environment monitoring module includes: The network signal monitoring sub-module, based on the data packet priority queue, monitors the network signal strength of the device in real time and generates a signal strength monitoring result; Adopt signal strength analysis technology to measure and record the signal reception quality of each data packet, including the received signal strength indication value of the signal. The target value is captured through network monitoring tools. The RSSI values of each data packet are accumulated and its average value is calculated to represent the signal strength level of the current network, track the change trend of signal quality, and the generated signal strength monitoring result records the time series data of signal strength, providing basic data for further analysis of the network state.

[0029] The network congestion detection sub-module, based on the signal strength monitoring result, analyzes the signal strength in real time to detect the network congestion status and generates a congestion status monitoring result; In the above content, by analyzing the signal strength monitoring result, use the standard deviation calculation formula , calculate the fluctuation degree of the network signal and judge the congestion status; In the formula, represents the standard deviation of the signal strength, represents the number of sampling points, represents the signal strength of the th sampling point, represents the average value of the signal strength, is the index of the sampling point; Detailed explanation of the formula and the derivation process of the formula calculation: Assume that the signal strength values monitored within a specific time window are [18, 20, 22, 15, 17]; Calculate the average value : ; Calculate the degree of fluctuation: ; ; ; The result shows that the degree of fluctuation of the network signal strength is 2.42. The data reflects the degree of fluctuation of the signal strength. The calculation process effectively monitors and diagnoses the network congestion situation, generates the congestion situation monitoring result, and provides data support for network operation and maintenance.

[0030] Based on the congestion situation monitoring result, the real-time performance evaluation sub-module evaluates the availability and performance of the network in real time and generates the network quality monitoring record; Through network analysis tools such as Wireshark and network performance management software, real-time monitoring of network delay, data throughput, error rate and other indicators is carried out. The peak signal-to-noise ratio and bit error rate are used as the main performance evaluation parameters. The target parameters can effectively reflect the current load capacity and data transmission quality of the network. PSNR measures the degree of information loss and distortion during data transmission, while BER evaluates the ratio of the number of bits in error to the total number of bits during network transmission. Through detailed technical analysis of the target, the actual performance of the network under the current congestion state is accurately evaluated. According to the target analysis result, a detailed network quality monitoring record is generated. The record includes performance data with time stamps, providing decision support for network optimization and fault response.

[0031] Please refer to Figure 2 and Figure 5 , the network performance analysis module includes: Based on the network quality monitoring record, the transmission performance monitoring sub-module monitors and records multiple data transmission indicators in the network, including delay, packet loss rate, data transmission volume, and generates the transmission indicator monitoring result; The transmission performance monitoring is based on the network quality monitoring records, deeply monitors the key data transmission indicators in the network, and uses network performance evaluation technologies such as the SNMP protocol to capture and analyze network traffic and status information. By periodically querying the MIB of network devices, real-time network operation data is obtained, such as the number of current active connections, the latency and packet loss situation of each connection. Using traffic analysis tools such as NetFlow, the data transmission volume in the network is analyzed. The target tool provides detailed statistical information for each data stream, including traffic size, duration, source and destination addresses, etc. Using the target data, the overall latency, average packet loss rate and data transmission rate of the network are calculated, and the transmission indicator monitoring results are generated. The target results record in detail the historical changes and current status of various performance indicators, providing accurate data support for network management.

[0032] Based on the transmission indicator monitoring results, the performance indicator analysis sub-module extracts the data characteristics of multiple key performance indicators, including peak and valley values, average values and volatility, and generates the indicator data characteristic results. Perform the extraction of the data characteristics of key performance indicators. The operations involve statistical analysis techniques, including descriptive statistical analysis, to calculate the peak and valley values, average values and volatility of network data. By collecting each data point of network transmission latency, packet loss rate and data transmission volume, the Pandas library in the Python programming language is used for data processing and analysis. Calculate the average value of each performance indicator to evaluate the general performance level of the network. Calculate the minimum and maximum values of each performance indicator to determine the peak and valley values and identify the extreme cases of performance fluctuations. Calculate the standard deviation and variance. These two statistical measures describe the volatility of performance data and reflect the stability of network performance. Through the target detailed analysis, the indicator data characteristic results are generated. The target results provide a quantitative basis for the further evaluation and management of network performance.

[0033] The performance degradation analysis sub-module uses the indicator data characteristic results to analyze and identify the reasons for the network performance decline, including signal occlusion, interference sources, equipment failures, and obtains the network stability diagnosis information. Adopt causal analysis techniques, including fault tree analysis, to identify and evaluate the factors leading to performance degradation, such as signal occlusion, interference sources and equipment failures. Build a fault tree model, including various potential fault factors as the branch nodes of the tree. By analyzing the impact of the target factors on network performance one by one and gradually tracking to the root cause, real-time monitoring data and historical performance data are used for comparison during the process. By calculating the occurrence probability and severity of each factor, the reasons for performance degradation are identified. The obtained network stability diagnosis information clearly points out the reasons for the performance decline and provides specific suggestions for improving network performance, such as adjusting the network layout, replacing faulty equipment or enhancing signal shielding.

[0034] Please refer to Figure 2 andFigure 6 , the performance degradation analysis module includes: The fault cause analysis sub-module analyzes the reasons for the performance decline based on the network stability diagnosis information, identifies the network settings that need to be adjusted, including frequency band, access point, and power configuration, and generates an adjustment requirement identification result; Adopt the root cause analysis method to identify various potential causes of network performance degradation. By analyzing key data indicators in the diagnosis information, such as abnormal signal attenuation and frequent connection interruptions, timely discover the fundamental factors affecting network performance, integrate and evaluate network logs and error reports, locate the time and occurrence frequency of abnormal events, use the failure mode and effects analysis tool to evaluate the specific impact of each failure mode on network performance, including the severity, occurrence probability, and detection difficulty of the failure, determine the most critical failure factors, and formulate a targeted network setting adjustment plan, such as frequency band switching, access point reconfiguration, and power adjustment, to maximize the utilization efficiency of network resources and restore network performance. The generated adjustment requirement identification result includes detailed adjustment suggestions and expected improvement effects, providing decision-making support for network administrators.

[0035] The network configuration update sub-module adjusts multiple network settings according to the adjustment requirement identification result, including signal transmission frequency band, network access node, and transmission power, implements network configuration optimization, and generates a network setting adjustment result; Adopt the network changes required for configuration management implementation to ensure the precise implementation and management of all configurations, including updating the configuration files of routers and switches, adjusting the frequency band and power settings of wireless access points, using network management protocols, such as the Simple Network Management Protocol, to remotely modify device configurations, and at the same time monitor the effects of configuration changes to ensure that the changes all achieve the expected network performance improvement goals. Implement a rollback plan in case the new configuration fails to improve performance as expected or causes new problems, ensure the stable operation of the network, optimize the overall performance of the network through target steps, improve the reliability of the network and the quality of service for users. The generated network setting adjustment result details the state of each setting before and after adjustment, including the improvement of signal strength, connection rate, and network response time, providing a basis for subsequent performance evaluation and network maintenance.

[0036] The performance monitoring and analysis sub-module monitors and analyzes the adjusted network performance in real time, including latency and packet loss rate, evaluates the effectiveness of parameter adjustment, and obtains network configuration parameters; The specific formula for real-time monitoring and analysis of the adjusted network performance is: ; Among them, represents the comprehensive score of network performance, indicating the quantitative evaluation value of the overall network performance, represents the The latency value detected for the nth time, which is used to measure the length of the network response time. represents the packet loss rate value detected for the nth time, which is used to measure the ratio of lost data packets during data transmission. is the latency value weight coefficient, indicating the relative importance of latency in the total score. is the packet loss rate weight coefficient, indicating the relative importance of the packet loss rate in the total score. represents the total number of data points. is the index variable.

[0037] Formula: ; Detailed explanation of the formula and the derivation process of formula calculation: The formula is used to calculate the comprehensive score of network performance, taking into account two key performance indicators: network latency and packet loss rate. By calculating the average of the weighted sum of squares of latency and packet loss rate, a comprehensive score reflecting the overall network performance is obtained, which helps to quickly identify the network status and optimize the configuration. Meaning of parameters and set values: represents the latency value detected for the nth time. Assume ms, respectively represent the latency values detected for 10 times. represents the packet loss rate detected for the nth time. Assume %, respectively represent the packet loss rates detected for 10 times. is the weight coefficient of the latency value. Assume ; is the weight coefficient of the packet loss rate. Assume ; represents the number of data points. Assume , considering 10 times of monitoring data. Substitute the parameters into the formula for calculation: Calculate the weighted sum of squares for 10 times of data: The 1st time: ; The 2nd time: ; The 3rd time: ; The 4th time: ; The 5th time: ; The 6th time: ; The 7th time: ; The 8th time: ; The 9th time: ; The 10th time: ; ; Calculate : ; The results show that the comprehensive score obtained is 88.4, indicating that under the given monitoring data, the performance of the network is at a relatively high level. The score helps network administrators identify key areas that need to be optimized.

[0038] Please refer to Figure 2 and Figure 7 , the operation mode adjustment module includes: The power status monitoring sub-module, based on network configuration parameters, monitors the power status of the device in real time, records the current power level, and generates device power monitoring information; Adopting battery management technology, continuously tracks and records the voltage, current, and temperature data of the device battery. The target data is captured in real time by sensors within the integrated circuit and converted into digital signals through an analog-to-digital converter for easy processing and analysis. The battery management also evaluates the charging cycle and health status of the battery, calculates its remaining life and remaining charge, and the target information is used to generate detailed device power monitoring information, including the instant reading of the power and the decline trend of battery performance over time, which is crucial for ensuring the device remains operational at critical moments.

[0039] The real-time demand analysis sub-module, based on the device power monitoring information, evaluates the stability and rate requirements of the device for data transmission in real time by analyzing the requirements of various applications for data rate and connection stability, and obtains the transmission demand evaluation result; By applying feature analysis technology, analyze the specific bandwidth and latency requirements of each application. For example, video streaming requires high bandwidth and low latency, while services such as email have lower bandwidth requirements. Analyze based on the data usage patterns of different applications and use regression analysis methods to predict the performance of the device at different battery levels. During the analysis process, calculate the possible optimal and worst performance scenarios of different applications under the current battery conditions, generate the transmission requirement assessment results, and the target results provide a basis for the adjustment of network configuration, ensuring that even under low battery conditions, critical applications can maintain the necessary operating efficiency.

[0040] The operation parameter adjustment sub-module adjusts the network configuration and device operation parameters according to the transmission requirement assessment results, including signal transmission power, screen brightness, and background data synchronization settings, optimizing the energy efficiency of the device and communication quality to obtain an energy efficiency optimized transmission configuration; Adopt dynamic power management technology to automatically adjust the signal transmission power and screen brightness of the device in response to different battery and network load conditions. In power management, dynamically calculate and set the optimal transmission power and screen brightness through algorithms. The target settings are based on real-time data transmission requirements and the current battery state, ensuring the best balance between power consumption and device performance. The background data synchronization settings are also optimized to reduce the synchronization frequency of non-critical application data and lower energy consumption. Through targeted adjustments, the overall energy efficiency of the device is effectively improved, generating an energy efficiency optimized transmission configuration that clearly records the details of each parameter adjustment and the expected energy efficiency improvement effect.

[0041] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions according to the embodiments of the present invention are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that the computer can access or a data storage device such as a server or data center that contains one or more collections of available media. The available media can be magnetic media (such as floppy disks, hard disks, magnetic tapes), optical media (such as DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0042] It should be understood that the term "and / or" in this text is merely a description of the association relationship between associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. Here, A and B can be singular or plural. Additionally, the character " / " in this text generally represents an "or" relationship between the associated objects before and after, but it may also represent an "and / or" relationship. The specific meaning can be understood by referring to the context before and after.

[0043] In the present invention, "at least one" means one or more, and "a plurality" means two or more. "At least one of the following" or its similar expressions refer to any combination of these items, including any combination of single item(s) or plural item(s). For example, at least one of a, b, or c can represent: a, b, c, a - b, a - c, b - c, or a - b - c, where a, b, and c can be single or multiple.

[0044] It should be understood that in various embodiments of the present invention, the magnitude of the sequence numbers of the above processes does not imply the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0045] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0046] Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the devices, apparatuses, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0047] In several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be in an electrical, mechanical, or other forms.

[0048] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or may be distributed over multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0049] In addition, each functional unit in various embodiments of the present invention may be integrated in a processing unit, may exist separately as individual physical units, or two or more units may be integrated in one unit.

[0050] If the above-mentioned function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that makes a contribution to the prior art or a part of this technical solution can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0051] The above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claimed rights.

Claims

1. A 5G RedCap terminal system, characterized in that, The system includes: Based on the device communication request information, the transmission priority management module analyzes the data packets to be transmitted, analyzes the type information of the data packets, and combines the real-time behavior of the device to adjust the transmission priority for multiple categories, forming a data packet priority queue; Based on the data packet priority queue, the network environment monitoring module monitors and analyzes the network signal strength in real time, detects the network congestion status, evaluates the network availability and performance, and generates a network quality monitoring record; Based on the network quality monitoring record, the network performance analysis module monitors key indicators of various data transmissions, including latency and packet loss rate, analyzes and identifies factors causing network performance degradation, including signal occlusion and interference sources, and generates network stability diagnosis information; Using the network stability diagnosis information, the performance degradation analysis module adjusts the network configuration parameters in real time according to the reasons for network performance degradation, including adjusting the signal transmission frequency band, network access nodes, and transmission power, optimizing network performance and communication efficiency, and generating network configuration parameters; Based on the network configuration parameters, the operation mode adjustment module monitors the power status of the device in real time and evaluates the data transmission requirements, adjusts the network configuration and device operation parameters, including signal transmission power, screen brightness, and background data synchronization settings, and generates an energy efficiency optimized transmission configuration.

2. The 5G RedCap terminal system according to claim 1, wherein The data packet priority queue includes communication request information, data packet type information, and device real-time behavior information. The network quality monitoring record specifically refers to the network signal strength detection record, network congestion status analysis result, network availability and performance evaluation information. The network stability diagnosis information includes latency indicators, packet loss rate indicators, and performance degradation diagnosis results. The network configuration parameters include signal transmission frequency band adjustment information, network access node adjustment parameters, and transmission power adjustment records. The energy efficiency optimized transmission configuration is specifically signal transmission power adjustment information, screen brightness settings, and background data synchronization configuration.

3. The 5G RedCap terminal system according to claim 1, characterized in that, The transmission priority management module includes: Based on the device communication request information, the data packet information extraction sub-module analyzes the data packets to be transmitted, identifies the type and source information of the data packets, and generates a type analysis result; Based on the type analysis result, the device behavior recognition sub-module analyzes the real-time behavior of the device, identifies the applications being used by the device, and marks the data packets of the target application, generating a behavior analysis result; Based on the behavior analysis result, the transmission priority adjustment sub-module adjusts the transmission priority of multiple types of data packets in real time, forming a data packet priority queue.

4. The 5G RedCap terminal system according to claim 3, wherein, The specific formula for adjusting the transmission priority of multiple types of data packets in real time is: ； Among them, represents the calculated packet priority score, represents the weight based on the packet type information, represents the behavior eigenvalue of the device behavior analysis, represents the additional weight of the currently active applications of the user, represents the average value of all packet behavior eigenvalues, represents the total number of packets included in the analysis, is the index of the packet.

5. The 5G RedCap terminal system according to claim 1, wherein, The network environment monitoring module includes: Based on the data packet priority queue, the network signal monitoring sub-module monitors the network signal strength of the device in real time, generating a signal strength monitoring result; Based on the signal strength monitoring result, the network congestion detection sub-module analyzes the signal strength to detect the network congestion status in real time, generating a congestion status monitoring result; Based on the congestion status monitoring result, the real-time performance evaluation sub-module evaluates the network availability and performance in real time, generating a network quality monitoring record.

6. The 5G RedCap terminal system according to claim 1, characterized in that, The network performance analysis module includes: The transmission performance monitoring sub-module monitors and records multiple data transmission metrics in the network based on the network quality monitoring records, including latency, packet loss rate, and data transmission volume, and generates a transmission metric monitoring result; The performance metric analysis sub-module extracts the data characteristics of multiple key performance metrics based on the transmission metric monitoring result, including peak and valley values, average values, and volatility, and generates a metric data characteristic result; The performance degradation analysis sub-module uses the metric data characteristic result to analyze and identify the reasons for the network performance decline, including signal occlusion, interference sources, and equipment failures, and obtains network stability diagnosis information.

7. The 5G RedCap terminal system according to claim 1, characterized in that, The performance degradation analysis module includes: The fault cause analysis sub-module analyzes the reasons for the performance decline based on the network stability diagnosis information, identifies the network settings that need to be adjusted, including frequency band, access point, and power configuration, and generates an adjustment requirement identification result; The network configuration update sub-module adjusts multiple network settings according to the adjustment requirement identification result, including signal transmission frequency band, network access node, and transmission power, implements network configuration optimization, and generates a network setting adjustment result; The performance monitoring and analysis sub-module monitors and analyzes the adjusted network performance in real time based on the network setting adjustment result, including latency and packet loss rate, evaluates the effectiveness of parameter adjustment, and obtains network configuration parameters.

8. The 5G RedCap terminal system according to claim 7, characterized in that, The specific formula for the real-time monitoring and analysis of the adjusted network performance is: ； Among them, represents the comprehensive score of network performance, represents the th detected latency value, represents the th detected packet loss rate value, is the weight coefficient of the latency value , is the weight coefficient of the packet loss rate , represents the total number of data points, is the index variable.

9. The 5G RedCap terminal system according to claim 1, characterized in that, The operation mode adjustment module includes: The battery status monitoring sub-module monitors the battery status of the device in real time based on the network configuration parameters, records the current battery level, and generates device battery monitoring information; The real-time demand analysis sub-module evaluates the stability and rate requirements of the device for data transmission in real time by analyzing the requirements of multiple applications for data rate and connection stability based on the device battery monitoring information, and obtains a transmission demand evaluation result; The operation parameter adjustment sub-module adjusts the network configuration and device operation parameters according to the transmission demand evaluation result, including signal transmission power, screen brightness, and background data synchronization settings, optimizes the device energy efficiency and communication quality, and obtains an energy efficiency optimized transmission configuration.

10. A 5G RedCap terminal device, characterized in that, The 5G RedCap terminal device includes: A processor; A memory, on which computer-readable instructions are stored, and when the computer-readable instructions are executed by the processor, the system according to any one of claims 1 to 9 is implemented.

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