5g redcap terminal device and system

Abstract

The application relates to the technical field of mobile communication, in particular to a 5G RedCap terminal device 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 a running mode adjustment module.In the application, the transmission priority of various data packets is adjusted by analyzing real-time device behavior, the utilization rate of network resources and the real-time responsiveness of data transmission are improved, the network settings are dynamically adjusted by using real-time monitoring of network signals and congestion conditions, the network configuration quickly responds to changes in external conditions, the delay and packet loss rate of data transmission are reduced, the adaptability of the network and the user experience are enhanced, the power state of the device is monitored in real time and the running mode is adjusted, the device running settings and power consumption are optimized, the energy consumption is effectively reduced, and the 5G RedCap device is helped to adapt to performance requirements in various application scenarios, and economic and reliable service options are provided for users.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of mobile communication technology, in particular to a 5G RedCap terminal device and system. BACKGROUND

[0002] The field of mobile communication technology 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 connected devices. It involves signal transmission, network architecture design, signal processing, data transmission optimization, software and hardware innovation, including frequency allocation, signal modulation and demodulation, data encryption and compression, and communication protocol standardization. The goal is to support wireless data transmission between various devices and networks, adapt to various environmental and device requirements, including improving 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, designed to provide optimized 5G services for devices that require lower data rates and power consumption. It is applied to application scenarios that do not require full-featured 5G support, including industrial Internet of Things devices, smart home systems, and smart wearable devices. Through 5G RedCap connection, it achieves efficient data transmission and good network performance while maintaining low cost and power consumption, providing reliable and economical network connection methods to meet market demand and improve device efficiency and economy.

[0004] Traditional mobile communication technology 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. It lacks sufficient flexibility to respond to changes in network conditions in real time, resulting in slow data transmission speed, increased latency and packet loss rate in high-traffic scenarios. In terms of frequency band management and power control, it cannot optimize according to actual network load and device power conditions, reducing the overall efficiency of the network and the energy efficiency of the device. It cannot accurately adjust power output, causing devices to operate at high power even in low power states, accelerating battery consumption and affecting device durability and stability. This limits the possibility of users obtaining optimal communication experience in different environments and increases operating costs. SUMMARY

[0005] To solve the technical problem of high cost and energy consumption of 5G communication in the prior art, the present application provides a 5G RedCap terminal device and system. The technical solution is as follows:

[0006] On the one hand, a 5G RedCap terminal system is provided, which includes:

[0007] The transmission priority management module analyzes the data packets that need to be transmitted based on the device communication request information, analyzes the type information of the data packets, adjusts the transmission priority of multiple categories in combination with the real-time behavior of the device, and forms a data packet priority queue;

[0008] The network environment monitoring module monitors and analyzes the network signal strength in real time based on the data packet priority queue, detects the network congestion status, evaluates the availability and performance of the network, and generates network quality monitoring records;

[0009] The network performance analysis module monitors key indicators of multiple data transmissions, including delay and packet loss rate, based on the network quality monitoring records, analyzes and identifies factors that cause network performance degradation, including signal shielding and interference sources, and generates network stability diagnosis information;

[0010] The performance degradation analysis module uses the network stability diagnosis information to adjust network configuration parameters in real time according to the reasons for network performance degradation, including adjusting signal transmission frequency bands, network access nodes, and transmission power, optimizing network performance and communication efficiency, and generating network configuration parameters;

[0011] The running mode adjustment module monitors the power state of the device and evaluates the data transmission demand in real time based on the network configuration parameters, adjusts network configuration and device running parameters, including signal transmission power, screen brightness, and background data synchronization settings, and generates energy-efficient transmission configuration.

[0012] As a further scheme of the present application, the data packet priority queue includes communication request information, data packet type information, and device real-time behavior information, the network quality monitoring records specifically refer to network signal strength detection records, network congestion status analysis results, and network availability and performance evaluation information, the network stability diagnosis information includes delay 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, and the energy-efficient transmission configuration specifically refers to signal transmission power adjustment information, screen brightness settings, and background data synchronization configuration.

[0013] As a further scheme of the present application, the transmission priority management module includes:

[0014] The data packet information extraction submodule analyzes the data packets that need to be transmitted based on the device communication request information, identifies the type and source information of the data packets, and generates type analysis results;

[0015] The device behavior recognition submodule analyzes the real-time behavior of the device based on the type analysis results, identifies the applications that the device is currently using, and marks the data packets of the target applications, and generates behavior analysis results;

[0016] The transmission priority adjustment submodule adjusts the transmission priority of the data packets in real time based on the behavior analysis result, and forms a data packet priority queue.

[0017] As a further scheme of the present application, the specific formula for adjusting the transmission priority of the data packets in real time is as follows:

[0018] ;

[0019] wherein, 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 current user active application, 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.

[0020] As a further scheme of the present application, the network environment monitoring module comprises:

[0021] The network signal monitoring submodule monitors the network signal strength of the device in real time based on the data packet priority queue, and generates a signal strength monitoring result;

[0022] The network congestion detection submodule detects the network congestion condition in real time based on the signal strength monitoring result by analyzing the signal strength, and generates a congestion condition monitoring result;

[0023] The real-time performance evaluation submodule evaluates the availability and performance of the network in real time based on the congestion condition monitoring result, and generates a network quality monitoring record.

[0024] As a further scheme of the present application, the network performance analysis module comprises:

[0025] The transmission performance monitoring submodule monitors and records multiple data transmission indicators in the network based on the network quality monitoring record, including delay, packet loss rate, and data transmission volume, and generates a transmission indicator monitoring result;

[0026] The performance indicator analysis submodule extracts the data characteristics of multiple key performance indicators based on the transmission indicator monitoring result, including peak-to-valley value, average value, and volatility, and generates an indicator data characteristic result;

[0027] The performance degradation analysis submodule analyzes and identifies the causes of network performance degradation based on the indicator data characteristic result, including signal shielding, interference source, and device failure, and obtains network stability diagnosis information.

[0028] As a further scheme of the present application, the performance degradation analysis module comprises:

[0029] The fault cause analysis submodule analyzes the cause of performance degradation based on the network stability diagnosis information, identifies the network settings that need to be adjusted, including frequency bands, access points and power configurations, and generates adjustment requirement identification results;

[0030] The network configuration update submodule adjusts multiple network settings according to the adjustment requirement identification results, including signal transmission frequency bands, network access nodes and transmission power, implements network configuration optimization, and generates network setting adjustment results;

[0031] The performance monitoring and analysis submodule monitors and analyzes the adjusted network performance in real time according to the network setting adjustment results, including delay and packet loss rate, evaluates the effectiveness of parameter adjustment, and obtains network configuration parameters.

[0032] As a further scheme of the present application, the specific formula for real-time monitoring and analyzing the adjusted network performance is:

[0033] ;

[0034] Among them, represents the comprehensive score of network performance, represents the delay value monitored for the th time, represents the packet loss rate value monitored for the th time, is the weight coefficient of the delay value , is the weight coefficient of the packet loss rate , indicates the total number of data points, is the index variable. As a further scheme of the present application, the running mode adjustment module comprises:

[0035] The power state monitoring submodule monitors the power state of the device in real time based on the network configuration parameters, records the current power level, and generates device power monitoring information;

[0036] The real-time demand analysis submodule evaluates the stability and rate requirements of the device for data transmission in real time based on the device power monitoring information by analyzing the demand of various applications for data rate and connection stability, and obtains transmission demand evaluation results;

[0037]

[0038] ​​The operating parameter adjustment submodule adjusts the network configuration and device operating parameters according to the transmission demand assessment results, including signal transmission power, screen brightness and background data synchronization settings, optimizes device energy efficiency and communication quality, and obtains energy-efficient optimized transmission configuration.

[0039] On the other hand, a 5G RedCap terminal device is provided, which includes: a processor; a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, any system in the above-mentioned 5G RedCap terminal system is implemented.

[0040] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0041] By analyzing real-time device behavior and adjusting the transmission priority of various data packets, the utilization of network resources and the real-time responsiveness of data transmission are improved. By using real-time monitoring of network signals and congestion conditions, network settings are dynamically adjusted to enable network configuration to quickly respond to changes in external conditions, reducing data transmission delays and packet loss rates, and enhancing network adaptability and user experience. By monitoring the device's power status in real time and adjusting the operating mode, the device's operating settings and power consumption are optimized, effectively reducing energy consumption, helping 5G RedCap devices adapt to the performance requirements of various application scenarios, and providing users with economical and reliable service options. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0043] Figure 1 is a system flow chart of the present invention;

[0044] Figure 2 Schematic diagram of the system framework of the present invention;

[0045] Figure 3 This is a flow chart of the transmission priority management module of the present invention;

[0046] Figure 4 This is a flow chart of the network environment monitoring module of the present invention;

[0047] Figure 5 This is a flow chart of the network performance analysis module of the present invention;

[0048] Figure 6 This is a flow chart of the performance degradation analysis module of the present invention;

[0049] Figure 7 Flow chart of operation mode adjustment module of the present application. DETAILED DESCRIPTION

[0050] The technical solutions in the present application will be described below with reference to the drawings.

[0051] In the embodiments of the present application, the words such as "example", "for example" are used to represent as an example, illustration or description. Any embodiment or design scheme described as "example" in the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the word "example" is intended to present the concept in a specific manner. In addition, in the embodiments of the present application, the meaning expressed by "and / or" can be both, or can be one of the two.

[0052] In the embodiments of the present application, sometimes the subscript such as W1 may be written in the form of non-subscript such as W1, and when the difference is not emphasized, the meanings expressed are consistent.

[0053] In order to make the technical problems, technical solutions and advantages of the present application clearer, the following will be described in detail with reference to the drawings and specific embodiments.

[0054] The embodiments of the present application provide a 5G RedCap terminal system, please refer to Figures 1 to 2 The present application provides a technical solution, a 5G RedCap terminal system includes:

[0055] The transmission priority management module analyzes the data packets that need to be transmitted based on the device communication request information, analyzes the type information of the data packets, adjusts the transmission priority for multiple categories in combination with the real-time behavior of the device, and forms a data packet priority queue;

[0056] The network environment monitoring module monitors and analyzes the network signal strength in real time based on the data packet priority queue, detects the network congestion status, evaluates the availability and performance of the network, and generates network quality monitoring records;

[0057] The network performance analysis module monitors key indicators of multiple data transmissions, including delay and packet loss rate, based on the network quality monitoring records, analyzes and identifies factors causing network performance degradation, including signal shielding and interference sources, and generates network stability diagnosis information;

[0058] The performance degradation analysis module adjusts network configuration parameters in real time according to the reasons for network performance degradation, including adjusting signal transmission frequency bands, network access nodes and transmission power, optimizes network performance and communication efficiency, and generates network configuration parameters using network stability diagnosis information;

[0059] The running mode adjustment module monitors the power state of the device in real time and evaluates the data transmission demand based on the network configuration parameters, adjusts the network configuration and the device running parameters, including the signal transmission power, the screen brightness, and the background data synchronization setting, and generates the energy efficiency optimization transmission configuration.

[0060] The data packet priority queue includes the communication request information, the data packet type information, and the device real-time behavior information, the network quality monitoring record specifically refers to the network signal strength detection record, the network congestion status analysis result, the network availability and performance evaluation information, the network stability diagnosis information includes the delay index, the packet loss rate index, and the performance degradation diagnosis result, the network configuration parameters include the signal transmission frequency band adjustment information, the network access node adjustment parameter, and the transmission power adjustment record, and the energy efficiency optimization transmission configuration specifically refers to the signal transmission power adjustment information, the screen brightness setting, and the background data synchronization configuration.

[0061] Please refer to Figure 2 and Figure 3 , the transmission priority management module includes:

[0062] The data packet information extraction submodule 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;

[0063] By applying a data classification algorithm such as a decision tree analysis, the incoming data packets are classified, the content of the data packets includes video stream, audio data and text information, the data type and source are identified, the video data comes from a video conference application, the audio data comes from a VoIP call, and the text comes from an instant messaging service, the algorithm detects the protocol header information of the data packets, extracts the field containing the data type, identifies the data source by comparing the specific signature of the protocol, classifies the data packets into the corresponding type through the target step, and generates a detailed type analysis result, which records the source and type of each type of data in detail, and provides a basis for subsequent network optimization and resource allocation.

[0064] The device behavior recognition submodule analyzes the real-time behavior of the device based on the type analysis result, identifies the application being used by the device, and marks the data packets of the target application, and generates a behavior analysis result;

[0065] Deep learning is performed on the activity pattern of the device by using a behavior pattern recognition technology such as neural network analysis, which analyzes the behavior characteristics of the device such as data transmission frequency and application use time, trains a neural network model through target behavior data, and identifies the application that is actively used by the device, such as a social media application, an email client, or a video online platform. In addition, the model also marks the data packets related to the target application, marks all video stream data packets when using the video platform, and improves the accuracy of data processing. According to the priority of the application, intelligent traffic management is performed to generate a behavior analysis result, which describes the real-time behavior pattern of the device and the associated application data packets in detail, and provides decision support for network administrators.

[0066] The transmission priority adjustment submodule adjusts the transmission priority of the data packets of various categories in real time based on the behavior analysis result to form a data packet priority queue.

[0067] The specific formula for adjusting the transmission priority of the data packets of various categories is as follows:

[0068] ;

[0069] Among them, 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 current user active application, 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.

[0070] Formula:

[0071] ;

[0072] Formula details and formula calculation derivation process:

[0073] The formula is used to calculate the priority score of the data packet and adjust the transmission priority of the data packet in the network.

[0074] Parameter meaning and setting value:

[0075] : Data packet type weight, assuming that the weight of the target data packet considered is 0.7;

[0076] : Active application additional weight, assuming that the active degree additional weight of the target data packet considered is 1;

[0077] : behavior characteristic value, assumed to be 50;

[0078] : average value of all data packet behavior characteristic values, assumed to be 40;

[0079] : total number of data packets, assumed to be 10;

[0080] Substitute the parameters into the formula for calculation:

[0081] ;

[0082] ;

[0083] ;

[0084] ;

[0085] The result 2.69 indicates that the priority score of the data packet is 2.69, indicating that the data packet should have higher priority in network resource allocation, and the result reflects the importance and urgency of the data packet. The calculation process is used to ensure the rational allocation of network resources, to meet the current needs of users, and to improve the response speed of the network and the satisfaction of users.

[0086] Please refer to Figure 2 and Figure 4 , the network environment monitoring module includes:

[0087] The network signal monitoring submodule is based on the data packet priority queue, and monitors the network signal strength of the device in real time, and generates a signal strength monitoring result;

[0088] The signal strength analysis technology is adopted 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 the network monitoring tool. The RSSI value of each data packet is accumulated and the average value is calculated to represent the current network signal strength level. The change trend of signal quality is tracked, and the generated signal strength monitoring result records the time series data of signal strength, providing basic data for further analysis of network status.

[0089] The network congestion detection submodule is based on the signal strength monitoring result, and analyzes the signal strength to detect the network congestion status in real time, and generates a congestion status monitoring result;

[0090] In the above content, by analyzing the signal strength monitoring result, the standard deviation calculation formula is used to calculate the fluctuation degree of network signal to judge the congestion status;

[0091] In the formula, Standard deviation of signal strength, Number of sampling points, Signal strength of the th sampling point, Average value of signal strength, Index of the sampling point;

[0092] Formula details and formula calculation derivation process:

[0093] Assume that the signal strength values monitored within a certain time window are [18, 20, 22, 15, 17];

[0094] Calculate the average value :

[0095] ;

[0096] Calculate the fluctuation degree:

[0097] ;

[0098] ;

[0099] ;

[0100] The result indicates that the fluctuation degree of network signal strength is 2.42, and the data reflects the fluctuation degree of signal strength. The calculation process effectively monitors and diagnoses network congestion conditions, generating congestion condition monitoring results to provide data support for network operation and maintenance.

[0101] The real-time performance evaluation sub-module generates network quality monitoring records based on the congestion condition monitoring results.

[0102] Through network analysis tools such as Wireshark and network performance management software, network delay, data throughput, and error rate are monitored in real time. 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 in the data transmission process, while BER evaluates the ratio of the number of bits with errors to the total number of bits in the network transmission process. 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 results, detailed network quality monitoring records are generated, including time-stamped performance data, which provides decision support for network optimization and fault response.

[0103] Please refer to Figure 2 and Figure 5 , the network performance analysis module includes:

[0104] The transmission performance monitoring submodule monitors and records multiple data transmission indicators in the network based on network quality monitoring records, including delay, packet loss rate, and data transmission volume, and generates transmission indicator monitoring results;

[0105] Transmission performance monitoring is based on network quality monitoring records to deeply monitor key data transmission indicators in the network, uses network performance evaluation techniques such as SNMP protocol to capture and analyze network traffic and state information, acquires real-time network operation data such as the number of current active connections, delay and packet loss of each connection by periodically querying the MIB of network devices, analyzes data transmission volume in the network using traffic analysis tools such as NetFlow, target tools provide detailed statistical information of each data flow, including traffic size, duration and source and target addresses, uses target data to calculate overall delay, average packet loss rate and data transmission rate of the network, generates transmission indicator monitoring results, target results record the historical changes and current state of each performance indicator in detail, providing accurate data support for network management.

[0106] The performance indicator analysis submodule extracts the data characteristics of multiple key performance indicators based on the transmission indicator monitoring results, including peak and valley values, average values and volatility, and generates indicator data characteristic results;

[0107] The data characteristics extraction of key performance indicators is performed, the operation involves statistical analysis techniques, including descriptive statistical analysis, calculating the peak and valley values, average values and volatility of network data, collecting each data point of network transmission delay, packet loss rate and data transmission volume, using Pandas library in Python programming language for data processing and analysis, calculating the average value of each performance indicator, evaluating the general performance level of the network, calculating the minimum and maximum value of each performance indicator, determining the peak and valley values, identifying the extreme cases of performance volatility, calculating the standard deviation and variance, these two statistical quantities describe the volatility of performance data, reflecting the stability of network performance, through detailed analysis of the target, generating indicator data characteristic results, the target results provide quantitative basis for further evaluation and management of network performance.

[0108] The performance degradation analysis submodule uses the indicator data characteristic results to analyze and identify the causes of network performance degradation, including signal obstruction, interference sources, and device failures, and obtains network stability diagnosis information;

[0109] Using causal analysis techniques, including fault tree analysis, the performance degradation analysis module identifies and evaluates factors contributing to performance degradation, such as signal obstruction, interference sources, and equipment failures. A fault tree model is constructed, including various potential failure factors as branch nodes of the tree. By analyzing the impact of each target factor on network performance one by one, the root cause is gradually traced. Real-time monitoring data and historical performance data are compared during the process. By calculating the occurrence probability and severity of each factor, the cause of performance degradation is identified, and the network stability diagnosis information obtained clearly indicates the cause of performance decline, providing specific recommendations for improving network performance, such as adjusting network layout, replacing faulty equipment, or enhancing signal shielding.

[0110] Please refer to Figure 2 and Figure 6 The performance degradation analysis module includes:

[0111] The fault cause analysis submodule analyzes the cause of performance decline based on network stability diagnosis information, identifies network settings that need to be adjusted, including frequency bands, access points, and power configurations, and generates adjustment requirement identification results.

[0112] Using root cause analysis methods, various potential causes of network performance degradation are identified. By analyzing key data indicators in the diagnosis information, such as abnormal signal attenuation and frequent connection interruptions, the root factors affecting network performance are discovered in a timely manner. Network logs and error reports are integrated and evaluated to locate the time and frequency of abnormal events. Fault mode impact analysis tools are used to evaluate the specific impact of each fault mode on network performance, including fault severity, occurrence probability, and detection difficulty. The most critical fault factors are determined, and targeted network setting adjustment plans are developed, such as frequency band switching, access point reconfiguration, and power adjustment, to maximize network resource utilization efficiency and restore network performance. The generated adjustment requirement identification results contain detailed adjustment suggestions and expected improvement effects, providing decision support for network administrators.

[0113] The network configuration update submodule adjusts multiple network settings based on the adjustment requirement identification results, including signal transmission frequency bands, network access nodes, and transmission power. Network configuration optimization is implemented, and network setting adjustment results are generated.

[0114] Use configuration management to implement the required network changes and ensure the accurate 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, and using network management protocols such as Simple Network Management Protocol to remotely modify device configurations. At the same time, monitor the effects of configuration changes to ensure that the changes achieve the expected network performance improvement goals, implement rollback plans 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 network reliability and user service quality, and generate network setting adjustment results that record the status of each setting before and after the adjustment in detail, including improvements in signal strength, connection rate and network response time, providing a basis for subsequent performance evaluation and network maintenance.

[0115] The performance monitoring and analysis submodule monitors and analyzes the adjusted network performance in real time based on the network setting adjustment results, including delay and packet loss rate, evaluates the effectiveness of parameter adjustments, and obtains network configuration parameters;

[0116] The specific formula for real-time monitoring and analysis of adjusted network performance is:

[0117] ;

[0118] in, Represents the comprehensive score of network performance, which represents the quantitative evaluation value of the overall network performance. Representative The delay value monitored is used to measure the length of network response time. Representative The packet loss rate value monitored is used to measure the ratio of data packets lost during data transmission. is the delay value The weight coefficient indicates the relative importance of delay in the total score. Packet loss rate The weight coefficient indicates the relative importance of packet loss rate in the total score. represents the total number of data points, is the index variable.

[0119] formula:

[0120] ;

[0121] Detailed explanation of the formula and the process of formula calculation and derivation:

[0122] The formula is used to calculate a comprehensive score for 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, helping to quickly identify network conditions and optimize configurations.

[0123] Parameter meaning and set value:

[0124] represent the delay value of the first monitoring, assuming ms, respectively represent the delay value of the 10 monitoring;

[0125] represent the packet loss rate of the first monitoring, assuming %, respectively represent the packet loss rate of the 10 monitoring;

[0126] is the weight coefficient of the delay value, assuming ;

[0127] is the weight coefficient of the packet loss rate, assuming ;

[0128] represents the number of data points, assuming , considering 10 monitoring data;

[0129] Substitute the parameters into the formula for calculation:

[0130] Calculate the weighted sum of squares of 10 data:

[0131] First:

[0132] ;

[0133] Second:

[0134] ;

[0135] Third:

[0136] ;

[0137] Fourth:

[0138] ;

[0139] Fifth:

[0140] ;

[0141] Sixth:

[0142] ;

[0143] Seventh:

[0144] ;

[0145] 8th time:

[0146] ;

[0147] 9th time:

[0148] ;

[0149] 10th time:

[0150] ;

[0151] ;

[0152] calculate :

[0153] ;

[0154] The results show that the overall score is 88.4, indicating that the network performance is at a high level under the given monitoring data. The score helps network administrators identify key areas that need optimization.

[0155] See also Figure 2 and Figure 7 , the operation mode adjustment module includes:

[0156] The power status monitoring submodule monitors the power status of the device in real time based on network configuration parameters, records the current power level, and generates device power monitoring information;

[0157] Battery management technology is used to continuously track and record 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 analog-to-digital converters for easy processing and analysis. Battery management also evaluates the battery's charging cycle and health status, and calculates its remaining life and remaining charge. The target information is used to generate detailed device power monitoring information, including instant readings of power and the decline trend of battery performance over time, which is essential to ensure that the device remains operational at critical moments.

[0158] The real-time demand analysis submodule, based on device power monitoring information, analyzes the data rate and connection stability requirements of various applications, and evaluates the device's data transmission stability and rate requirements in real time to obtain transmission demand assessment results.

[0159] By applying feature analysis technology, we 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. The analysis is based on the data usage patterns of different applications, and regression analysis methods are used to predict the performance of devices under different power levels. During the analysis process, the optimal and worst performance scenarios of different applications under current power conditions are calculated to generate transmission demand assessment results. The target results provide a basis for adjusting network configuration to ensure that critical applications can maintain the necessary operating efficiency even under low power conditions.

[0160] The operating parameter adjustment submodule adjusts the network configuration and device operating parameters based on the transmission demand assessment results, including signal transmission power, screen brightness, and background data synchronization settings, to optimize device energy efficiency and communication quality, and obtain an energy-efficient transmission configuration;

[0161] Dynamic power management technology is used to automatically adjust the device's signal transmission power and screen brightness in response to different power and network load conditions. In power management, the algorithm dynamically calculates and sets the optimal transmission power and screen brightness. The target setting is based on real-time data transmission requirements and the current power status to ensure 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 reduce energy consumption. Through detailed adjustment of the targets, the overall energy efficiency of the device is effectively improved, and an energy-efficiency-optimized transmission configuration is generated. This configuration clearly records the details of each parameter adjustment and the expected energy efficiency improvement effect.

[0162] The above embodiments can be implemented in whole or in part via software, hardware (e.g., circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. A computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions according to the embodiments of the present invention are fully or partially generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired means (e.g., infrared, wireless, microwave, etc.). A computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server or data center that contains a collection of one or more available media. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0163] It should be understood that the term "and / or" as used herein simply describes a relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A alone, A and B together, or B alone. A and B can be singular or plural. Furthermore, the character " / " as used herein generally indicates an "or" relationship between the associated objects, but it may also indicate an "and / or" relationship. For specific understanding, please refer to the context.

[0164] In this disclosure, "at least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, "at least one of a, b, or c" can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or plural.

[0165] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0166] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0167] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described equipment, devices and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0168] In the 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 merely a logical function division. In actual implementation, there may be other division methods, such as 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 mutual coupling or direct coupling or communication connection shown or discussed can be through some interface, indirect coupling or communication connection of the device or unit, which can be electrical, mechanical or other forms.

[0169] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0170] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0171] If the functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or the portion of the 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 enabling a computer device (which can be a personal computer, server, or 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 media include various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical disks.

[0172] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A 5G RedCap terminal system, characterized in that: The system comprises: The transmission priority management module analyzes the data packets that need to be transmitted based on the device communication request information, analyzes the type information of the data packets, and adjusts the transmission priority for multiple categories based on the real-time behavior of the device to form a data packet priority queue; The transmission priority management module includes: The data packet information extraction submodule analyzes the data packets to be transmitted based on the device communication request information, including applying decision tree analysis to classify the incoming data packets, identify the type and source information of the data packets, and generate type analysis results; The device behavior identification submodule analyzes the real-time behavior of the device based on the type analysis results, including analyzing the device's data transmission frequency and application usage time, identifying the applications currently being used by the device, including social media applications, email clients, and online video platforms, and marking the data packets of the target applications to generate behavior analysis results; The transmission priority adjustment submodule adjusts the transmission priority of multiple categories of data packets in real time based on the behavior analysis results to form a data packet priority queue; The network environment monitoring module monitors and analyzes network signal strength in real time based on the data packet priority queue, detects network congestion, evaluates network availability and performance, and generates network quality monitoring records; The network performance analysis module monitors a variety of key indicators of data transmission based on the network quality monitoring records, including latency and packet loss rate, analyzes and identifies factors that lead to network performance degradation, including signal obstruction and interference sources, and generates network stability diagnostic information; The performance degradation analysis module uses the network stability diagnostic information to adjust network configuration parameters in real time according to the cause of network performance degradation, including adjusting the signal transmission frequency band, network access node and transmission power, to optimize network performance and communication efficiency and generate network configuration parameters; The operation mode adjustment module monitors the power status of the device in real time and evaluates the data transmission requirements based on the network configuration parameters, adjusts the network configuration and device operation parameters, including signal transmission power, screen brightness, and background data synchronization settings, and generates an energy-efficient optimized transmission configuration; The operation mode adjustment module includes: The power status monitoring submodule 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 submodule evaluates the device's data transmission stability and rate requirements in real time based on the device power monitoring information and analyzes the data rate and connection stability requirements of various applications to obtain a transmission demand assessment result; The operating parameter adjustment submodule adjusts the network configuration and device operating parameters according to the transmission demand assessment results, including signal transmission power, screen brightness and background data synchronization settings, optimizes device energy efficiency and communication quality, and obtains energy-efficient optimized transmission configuration.

2. The 5G RedCap terminal system according to claim 1, characterized in that The data packet priority queue includes communication request information, data packet type information, and real-time device behavior information. The network quality monitoring record specifically refers to network signal strength detection records, network congestion analysis results, network availability and performance evaluation information. The network stability diagnosis information includes delay 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 optimization transmission configuration specifically includes 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 specific formula for adjusting the transmission priority of multiple types of data packets in real time is: ； in, represents the calculated priority score of the packet, Represents the weight based on the packet type information, Represents the behavioral characteristic value of the device behavior analysis, Represents the additional weight of the current user's active applications, Represents the average value of all data packet behavior characteristics, Represents the total number of packets included in the analysis, is the index of the packet.

4. The 5G RedCap terminal system according to claim 1, characterized in that The network environment monitoring module includes: The network signal monitoring submodule monitors the network signal strength of the device in real time based on the data packet priority queue and generates a signal strength monitoring result; The network congestion detection submodule detects the network congestion status in real time by analyzing the signal strength based on the signal strength monitoring result and generates a congestion status monitoring result; The real-time performance evaluation submodule evaluates the availability and performance of the network in real time based on the congestion status monitoring result and generates a network quality monitoring record.

5. The 5G RedCap terminal system according to claim 1, characterized in that The network performance analysis module includes: The transmission performance monitoring submodule monitors and records multiple data transmission indicators in the network based on the network quality monitoring records, including delay, packet loss rate, and data transmission volume, and generates transmission indicator monitoring results; The performance indicator analysis submodule extracts data features of multiple key performance indicators based on the transmission indicator monitoring results, including peak and valley values, average values, and volatility, and generates indicator data feature results; The performance degradation analysis submodule uses the characteristic results of the indicator data to analyze and identify the causes of network performance degradation, including signal blocking, interference sources, and equipment failures, and obtains network stability diagnostic information.

6. The 5G RedCap terminal system according to claim 1, characterized in that The performance degradation analysis module includes: The fault cause analysis submodule analyzes the cause of the performance degradation based on the network stability diagnostic information, identifies the network settings that need to be adjusted, including frequency bands, access points, and power configurations, and generates an adjustment requirement identification result; The network configuration update submodule adjusts multiple network settings based on the adjustment requirement identification result, including signal transmission frequency band, network access node and transmission power, implements network configuration optimization, and generates network setting adjustment results; The performance monitoring and analysis submodule monitors and analyzes the adjusted network performance in real time based on the network setting adjustment results, including delay and packet loss rate, evaluates the effectiveness of parameter adjustment, and obtains network configuration parameters.

7. The 5G RedCap terminal system according to claim 6, characterized in that: The specific formula for real-time monitoring and analysis of adjusted network performance is: ； in, Represents the comprehensive score of network performance, Representative The delay value detected by the Representative The packet loss rate value monitored is is the delay value The weight coefficient of Packet loss rate The weight coefficient of Indicates the total number of data points, is the index variable.

8. A 5G RedCap terminal device, characterized in that: The 5G RedCap terminal devices include: processor; A memory having computer-readable instructions stored thereon, wherein when the computer-readable instructions are executed by the processor, the system according to any one of claims 1 to 7 is implemented.

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