Network access approval configuration information generation method

Abstract

The invention discloses a network access approval configuration information generation method, and relates to the technical field of network access approval configuration, and the method comprises the following steps: S1, determining all carrier aggregation combination modes supported by equipment, and building a panorama of a test range according to the carrier aggregation combination modes; s2, under the condition that aggregation is not carried out, the equipment is set to be in an independent activation transmitting state of each supporting frequency band, power analysis equipment is used for carrying out single-frequency-band EIRP and TRP baseline measurement, and maximum transmitting power data of each frequency band is completely recorded. According to the method, the severity of power superposition is accurately quantified through single-band baseline measurement and multi-carrier superposition feature extraction, the component carrier power is dynamically adjusted for a high-superposition risk combination, it is ensured that the overall transmitting power is controlled within a regulation limit value, a configuration information file is synchronously revised, the equipment running state is consistent with network access declaration data, and the network access declaration efficiency is improved. And the network access approval passing rate and the authentication controllability are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of network access approval configuration, and in particular to a method for generating network access approval configuration information. Background Art

[0002] Generating network access approval configuration information refers to the process of systematically organizing, structuring, and generating standardized formats for a device's technical parameters, functional configuration, network format, RF performance, power interface, security protocols, and communication protocols, in accordance with relevant national standards and regulatory requirements, before applying for network access approval. This information generation process is typically completed by the manufacturer or a third-party testing organization. The goal is to ensure that when the device formally applies for network access testing and certification, its hardware configuration, software version, and functional modules are highly consistent with the application materials and comply with the technical review specifications of the Ministry of Industry and Information Technology. This improves the efficiency of network access approval and reduces the risk of rejection due to configuration information discrepancies.

[0003] The existing technology has the following deficiencies:

[0004] In the process of generating network access approval configuration information for existing communication equipment, especially when constructing the RF parameter file that matches the network access approval declaration system, for multi-band aggregation scenarios, it usually only relies on static configuration to record the transmission power upper limit of each component carrier. There is a lack of a mechanism for adaptively regulating the RF power of the component carriers in the aggregation state, and it is impossible to dynamically allocate transmission power resources based on the specific aggregation combination. Since the existing technology does not effectively limit the multi-carrier power superposition effect, it is very easy to cause the overall radiation power to exceed the relevant national standards during the TRP cumulative calculation process. Once the power is measured to be over the limit during the model approval test phase, it will be directly judged as unqualified, resulting in the forced return of the equipment's network access application, which seriously interferes with the product certification rhythm and mass production schedule, especially during the concentrated launch window period of new models, which can easily cause project delays and market losses.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art. Summary of the Invention

[0006] The purpose of the present invention is to provide a method for generating network access approval configuration information, which is based on high-precision single-band baseline power measurement and multi-carrier aggregation superposition feature extraction to achieve accurate quantitative identification of the severity of power superposition, and adaptively and dynamically adjust the transmission power allocation of each component carrier for high superposition risk combinations to ensure that the total aggregated transmission power is strictly controlled within the regulatory limit. By synchronously revising the network access approval configuration information file, a one-to-one compliance closed loop is established between the actual operating status of the equipment and the network access approval declaration data, effectively avoiding major risks such as unqualified detection, network access rejection, and market delays due to excessive power superposition, and improving the pass rate of network access approval of communication equipment and the controllability of the certification process, so as to solve the problems in the above-mentioned background technology.

[0007] In order to achieve the above object, the present invention provides the following technical solution: a method for generating network access approval configuration information, comprising the following steps:

[0008] S1. Identify all carrier aggregation modes supported by the device and establish a comprehensive test scope based on the carrier aggregation modes.

[0009] S2. Without aggregation (i.e., single CC operation), set the device to independently activate the transmit state for each supported frequency band (e.g., B1, n78, n79, etc.). Use a power analysis device (e.g., an OTA anechoic chamber TRP test system or a near-field probe system) to perform single-band EIRP and TRP baseline measurements, and fully record the maximum transmit power data for each frequency band.

[0010] S3. Based on the carrier aggregation combination mode listed in S1, configure the device to the specified multi-carrier aggregation state (e.g., n78+n79), ensure that all component carriers are simultaneously active and transmitting, use dedicated test commands (e.g., operator test mode, loopback mode, or dummy uplink data) to synchronize uplink transmissions for each component carrier, and use a power analyzer or OTA darkroom equipment to collect real-time overall radiated power data when multiple carriers are transmitting simultaneously.

[0011] S4. Extracting overlapping features from the collected multi-carrier overlapping transmit power data, performing quantitative analysis on the extracted features using feature engineering techniques, and constructing an overlapping strength index corresponding to each carrier aggregation combination to accurately quantify the severity of power overlapping for each carrier aggregation combination during RF transmission.

[0012] S5. Identify carrier aggregation combinations with high overlay risk based on the overlay strength indicator generated in S4;

[0013] S6. For carrier aggregation combinations with high overlapping risk, an adaptive control strategy is used to assign a dynamic power weighting factor to each component carrier. During actual control, the output power of some component carriers is dynamically suppressed according to the overlapping strength index to control the overall TRP within the regulatory limit;

[0014] S7. After completing the dynamic power control of the component carriers, the network access approval configuration information file (such as XML, EXCEL format declaration file) is updated synchronously, and the power upper limit description under each carrier aggregation combination is revised to ensure that the RF emission behavior of the equipment in actual operation is strictly consistent with the network access approval declaration parameters.

[0015] Preferably, a panoramic view of the test range is established according to the carrier aggregation combination mode, and the specific steps are as follows:

[0016] The first step is to consult 3GPP TS 38.306, TS 38.101 and other standards to identify the frequency band of the current device and the supported carrier aggregation (CA) capabilities, including the aggregated frequency band, aggregation type (such as intra-band, inter-band), uplink / downlink support, number of carriers, and maximum bandwidth configuration;

[0017] The second step is to combine the device's PICS (Protocol Implementation Conformance Statement) table with the test specification document to extract the specific carrier aggregation combination modes supported by the manufacturer, such as n78+n79, n41+n78, B1+n78, etc.

[0018] The third step is to categorize and organize all combinations into a frequency band aggregation mapping table and label them based on risk levels (such as high transmit power overlap and complex antenna sharing paths).

[0019] Step 4: Draw a carrier aggregation test coverage matrix, include the test items corresponding to each combination (EIRP, TRP, ACL, SEM, etc.), and associate the corresponding test conditions (maximum power, MIMO configuration, uplink activation status, etc.);

[0020] The fifth step is to output a complete carrier aggregation test panorama to guide subsequent power acquisition, compliance assessment, and power control strategy formulation.

[0021] Preferably, superposition characteristic quantities are extracted from the collected multi-carrier superposition transmission power data, wherein the extracted superposition characteristic quantities include the high-order distortion ratio of the power distribution spectrum under the carrier aggregation combination state, and feature engineering technology is used to perform quantitative analysis on the extracted characteristic quantities to generate superposition nonlinear reference values, and the superposition strength index corresponding to each carrier aggregation combination is constructed by the superposition nonlinear reference value, which is used to accurately quantify the power superposition severity of each carrier aggregation combination during the radio frequency transmission process.

[0022] Preferably, feature engineering technology is used to quantitatively analyze the high-order distortion ratio of the power distribution spectrum in the carrier aggregation combination state to generate a superimposed nonlinear reference value. The specific steps are as follows:

[0023] When the communication equipment is in the multi-carrier aggregation activated state, the frequency domain distribution characteristics of the RF transmission signal are collected with high precision using a power analyzer or OTA darkroom equipment to obtain its complete spectrum data, which covers the main signal band, adjacent channel band, out-of-band band and spurious emission area. On this basis, a set of high-order intermodulation frequencies containing high-order nonlinear components such as third-order intermodulation (IM3), fifth-order intermodulation (IM5), and spurious transitions are identified from the spectrum data, and the high-order distortion spectrum power density corresponding to each frequency point in the high-order intermodulation frequency set is obtained. The spectrum disturbance rate characteristic matrix is constructed using the high-order distortion spectrum power density. The constructed expression is as follows:

[0024]

[0025] , where: Θ(f) represents the spectrum perturbation rate function about frequency f, which is used to quantify the degree of power perturbation caused by high-order nonlinear distortion at frequency f, P imd (f) represents the high-order distortion spectrum power density measured at frequency f, which is used to reflect the energy intensity of the corresponding intermodulation or spurious components; γ is the spectrum amplitude enhancement factor, which is used to perform nonlinear amplification on the weight of the high-power distortion component to avoid the dilution effect of the low-energy component on the overall disturbance index; φ(f) is the frequency position weighting function, which is used to improve the weighting of the components far away from the center frequency f. c The sensitivity of the distortion component is defined as: φ(f) = 1 + α· |ff c |, where α is the position-sensitive weight coefficient; tanh(·) is a nonlinear compression function that can avoid calculation overflow caused by abnormal amplification of high power points and ensure the stability of the disturbance rate; F imd For the set of high-order intermodulation frequencies, only the frequency bands with the risk of distortion are modeled;

[0026] After completing the construction of the spectrum disturbance rate characteristic matrix, the spectrum weight aggregation mechanism is further introduced to perform energy aggregation calculation on all frequency points with high-order distortion, and to construct a quantitative index to characterize the intensity of the overall nonlinear superposition effect, namely the superposition nonlinear reference value. The calculation expression of the superposition nonlinear reference value is as follows:

[0027]

[0028] , where: A ni is the superimposed nonlinear reference value, ψ(f) is the spectrum impact factor function, which is used to increase the distortion sensitivity in key frequency areas (such as adjacent channel band boundaries and authorized frequency band boundaries). It can be defined as a spectrum exponential decay function, such as: Where β is the attenuation coefficient, f edge represents the frequency of the target band boundary; δ is the trend amplification exponent, which is used to adjust the exponential growth slope. When the nonlinear disturbance reaches a high level, the increase is amplified to enhance the discrimination in high-overlap scenarios; ln(·) is the natural logarithm function, which is used to compress the response fluctuation in low-disturbance situations to avoid oversensitivity. It means that all frequency points with nonlinear distortion energy are integrated and summed to form the overall disturbance aggregation.

[0029] Preferably, the superposition nonlinearity reference value quantified by feature engineering technology is compared with a preset superposition nonlinearity reference threshold to identify carrier aggregation combinations with high superposition risk. The specific steps are as follows:

[0030] If the overlay nonlinearity reference value is greater than the overlay nonlinearity reference threshold, the carrier aggregation combination is identified as a high overlay risk carrier aggregation combination; if the overlay nonlinearity reference value is less than or equal to the overlay nonlinearity reference threshold, the carrier aggregation combination is identified as a normal carrier aggregation combination.

[0031] Preferably, for a high-overlapping risk carrier aggregation combination, an adaptive control strategy is used to assign a dynamic power weight factor to each carrier component carrier, and the output power of some component carriers is dynamically suppressed according to the overlapping strength index. The specific steps are as follows:

[0032] For carrier aggregation combinations identified as having high overlay risk, the dynamic power weighting factor of each component carrier is first calculated based on the relative deviation between the overlay nonlinearity reference value corresponding to the carrier aggregation combination and the overlay nonlinearity reference threshold. The calculation expression is as follows:

[0033]

[0034] , where: W iis the dynamic power weight factor of the i-th component carrier, and its value range is usually [0, 1]; t is the suppression sensitivity factor, which is used to adjust the proportional control of the overall suppression amplitude; λ is the dynamic response stretching factor, which is used to adjust the response slope of the superimposed nonlinear offset to the change of power weight; ρ i is the priority coefficient of the i-th component carrier, which is set according to the service importance or carrier bandwidth allocation. A higher value indicates a lower degree of carrier power suppression. tanh(·) is a hypertangent nonlinear mapping function that ensures smooth weight changes and nonlinear suppression characteristics.

[0035] Preferably, after the power weight factor of each component carrier is calculated, the actual transmit power of each component carrier is dynamically adjusted according to the weight factor. The specific control formula is as follows:

[0036]

[0037] , where: TRP' i is the total radiated power of the ith component carrier after adjustment; TRP i is the total radiated power of the i-th component carrier in the original unadjusted state; TRP' agg is the total radiated power of the overall aggregation combination after dynamic control; N is the total number of component carriers in the carrier aggregation combination.

[0038] Preferably, after completing the dynamic power control of the component carrier, the network access approval configuration information file is updated synchronously, and the power upper limit description under each carrier aggregation combination is revised. The specific steps are as follows:

[0039] After dynamic power control is completed for carrier aggregation combinations with high overlap risk, the overall transmit power configuration parameters for each aggregation combination are re-aggregated based on the actual adjusted transmit power of each component carrier;

[0040] Then, according to the network access approval specifications, use a standardized data template (such as an XML structure or Excel spreadsheet) to update the adjusted transmit power upper limit value to the corresponding field, ensuring that the transmit power description item for each combination mode corresponds to the actual dynamic control result;

[0041] Next, the revised configuration information file is checked for consistency, verifying the completeness of field filling, format standardization, and power value compliance to avoid subsequent declaration rejections due to document errors.

[0042] Finally, the new version of the configuration information file that has been verified and confirmed to be correct will be submitted to the network access approval declaration system as the official equipment RF parameter filing information, thereby achieving a consistent closed loop between the equipment's operating emission behavior and the description in the approval document, ensuring that regulatory compliance and testing consistency requirements are met simultaneously.

[0043] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0044] The present invention is based on high-precision single-band baseline power measurement and multi-carrier aggregation superposition feature extraction to achieve accurate quantitative identification of the severity of power superposition, and adaptively and dynamically adjust the transmission power allocation of each component carrier for high superposition risk combinations to ensure that the total aggregated transmission power is strictly controlled within the regulatory limits. By synchronously revising the network access approval configuration information file, a one-to-one compliance closed loop is established between the actual operating status of the equipment and the network access approval declaration data, effectively avoiding major risks such as unqualified inspection, network access rejection, and market launch delays due to excessive power superposition, thereby improving the pass rate of network access approval for communication equipment and the controllability of the certification process. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction to the drawings required for use in the embodiments will be given below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0046] Figure 1 The present invention is a method flow chart of a method for generating network access approval configuration information. DETAILED DESCRIPTION

[0047] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that the description of this disclosure will be thorough and complete and will fully convey the concepts of the example embodiments to those skilled in the art.

[0048] The present invention provides Figure 1 A method for generating network access approval configuration information shown includes the following steps:

[0049] S1. Identify all carrier aggregation modes supported by the device and establish a comprehensive test scope based on the carrier aggregation modes.

[0050] To establish a comprehensive test coverage based on the carrier aggregation combination mode, follow these steps:

[0051] The first step is to consult 3GPP TS 38.306, TS 38.101 and other standards to identify the frequency band of the current device and the supported carrier aggregation (CA) capabilities, including the aggregated frequency band, aggregation type (such as intra-band, inter-band), uplink / downlink support, number of carriers, and maximum bandwidth configuration;

[0052] The second step is to combine the device's PICS (Protocol Implementation Conformance Statement) table with the test specification document to extract the specific carrier aggregation combination modes supported by the manufacturer, such as n78+n79, n41+n78, B1+n78, etc.

[0053] The third step is to categorize and organize all combinations into a frequency band aggregation mapping table and label them based on risk levels (such as high transmit power overlap and complex antenna sharing paths).

[0054] Step 4: Draw a carrier aggregation test coverage matrix, include the test items corresponding to each combination (EIRP, TRP, ACL, SEM, etc.), and associate the corresponding test conditions (maximum power, MIMO configuration, uplink activation status, etc.);

[0055] The fifth step is to output a complete carrier aggregation test panorama to guide subsequent power acquisition, compliance assessment, and power control strategy formulation.

[0056] The core role of this process is to fully identify the test boundaries, ensure that no combination is missed, and establish a data foundation and decision-making basis for the overall power management strategy.

[0057] S2. Without aggregation (i.e., single CC operation), set the device to independently activate the transmit state for each supported frequency band (e.g., B1, n78, n79, etc.). Use a power analysis device (e.g., an OTA anechoic chamber TRP test system or a near-field probe system) to perform single-band EIRP and TRP baseline measurements, and fully record the maximum transmit power data for each frequency band.

[0058] Single-band EIRP and TRP baseline measurements refer to measuring the equivalent isotropically radiated power (EIRP) and total radiated power (TRP) of the frequency band under maximum transmit power conditions using standard test methods when carrier aggregation is not enabled for the communication device (i.e., it is in a single-band independent transmission state) to establish baseline data for the RF transmission capability of the frequency band. EIRP reflects the maximum emission intensity of the device in a certain direction and is usually used to evaluate the performance of directional antennas, while TRP reflects the overall spatial transmission capability of the device by performing a full spatial integration of the device's radiation field in an OTA test environment. This measurement process is used to construct a "single-band RF power reference library" in different frequency bands, providing an accurate benchmark basis for subsequent multi-band superposition power analysis, adaptive power control, and network access approval parameter declaration.

[0059] This process builds a baseline power database for each component carrier when transmitting independently, forming a standardized profile of each carrier's power capabilities. This database serves as a reference for subsequent carrier overlay analysis, clearly defining the normal transmission capability of each frequency band when activated independently and serving as essential data for determining the risk of over-limit transmission.

[0060] S3. Based on the carrier aggregation combination mode listed in S1, configure the device to the specified multi-carrier aggregation state (e.g., n78+n79), ensure that all component carriers are simultaneously active and transmitting, use dedicated test commands (e.g., operator test mode, loopback mode, or dummy uplink data) to synchronize uplink transmissions for each component carrier, and use a power analyzer or OTA darkroom equipment to collect real-time overall radiated power data when multiple carriers are transmitting simultaneously.

[0061] This process requires independent data collection for each carrier aggregation combination, ensuring a stable environment and accurate data. The goal is to obtain the true total power level of the actual carrier aggregation combination during transmission, accurately reflecting the power stacking effect of devices in different carrier aggregation combinations, and providing the raw data foundation for extracting the stacking effect characteristics.

[0062] S4. Extracting overlapping features from the collected multi-carrier overlapping transmit power data, performing quantitative analysis on the extracted features using feature engineering techniques, and constructing an overlapping strength index corresponding to each carrier aggregation combination to accurately quantify the severity of power overlapping for each carrier aggregation combination during RF transmission.

[0063] The superposition characteristic quantity is extracted from the collected multi-carrier superposition transmission power data, wherein the extracted superposition characteristic quantity includes the high-order distortion ratio of the power distribution spectrum under the carrier aggregation combination state. The feature engineering technology is used to quantitatively analyze the extracted characteristic quantity to generate a superposition nonlinear reference value. The superposition nonlinear reference value is used to construct the superposition strength index corresponding to each carrier aggregation combination, which is used to accurately quantify the power superposition severity of each carrier aggregation combination during the radio frequency transmission process.

[0064] In the carrier aggregation combination state, the higher the proportion of high-order distortion in the power distribution spectrum, the more severe the power superposition. This is because when multiple component carriers are activated and transmitted simultaneously in the physical link, if their total power approaches or exceeds the linear operating range of the RF front-end (such as the power amplifier and duplexer), it will trigger a nonlinear amplification effect, resulting in significant high-order intermodulation (IM3, IM5, etc.) and out-of-band harmonic distortion in the spectrum. These distortion components will extend outside the main signal band in the form of parasitic frequencies, forming power "leakage", which not only reflects that the system cannot withstand the current superimposed transmission load, but also directly reduces the spectral purity of the transmitted signal. Therefore, the stronger the high-order distortion components, the more it reveals that the aggregate combination is in a state of critical power saturation or overload in the RF transmission, and is the most typical indicator for assessing the severity of power superposition.

[0065] Feature engineering techniques are used to quantitatively analyze the proportion of high-order distortion in the power distribution spectrum under the carrier aggregation combination state to generate a superimposed nonlinear reference value. The specific steps are as follows:

[0066] When the communication equipment is in the multi-carrier aggregation activated state, the frequency domain distribution characteristics of the RF transmission signal are collected with high precision using a power analyzer or OTA darkroom equipment to obtain its complete spectrum data, which covers the main signal band, adjacent channel band, out-of-band band and spurious emission area. On this basis, a set of high-order intermodulation frequencies containing high-order nonlinear components such as third-order intermodulation (IM3), fifth-order intermodulation (IM5), and spurious transitions are identified from the spectrum data, and the high-order distortion spectrum power density corresponding to each frequency point in the high-order intermodulation frequency set is obtained. The spectrum disturbance rate characteristic matrix is constructed using the high-order distortion spectrum power density. The constructed expression is as follows:

[0067]

[0068] , where: Θ(f) represents the spectrum perturbation rate function about frequency f, which is used to quantify the degree of power perturbation caused by high-order nonlinear distortion at frequency f, P imd (f) represents the high-order distortion spectrum power density measured at frequency f, which is used to reflect the energy intensity of the corresponding intermodulation or spurious components; γ is the spectrum amplitude enhancement factor, which is used to perform nonlinear amplification on the weight of the high-power distortion component to avoid the dilution effect of the low-energy component on the overall disturbance index; φ(f) is the frequency position weighting function, which is used to improve the weighting of the components far away from the center frequency f. c The sensitivity of the distortion component is defined as: φ(f) = 1 + α· |ff c |, where α is the position-sensitive weight coefficient; tanh(·) is a nonlinear compression function that can avoid calculation overflow caused by abnormal amplification of high power points and ensure the stability of the disturbance rate; F imdFor the set of high-order intermodulation frequencies, only the frequency bands with the risk of distortion are modeled;

[0069] When multi-carrier aggregation is active, communications equipment can identify potential high-order intermodulation frequencies based on the center frequency combination of each component carrier through a combination of mathematical analysis and spectrum analysis. The distribution of intermodulation frequencies has a clear computational relationship. For example, when two carrier frequencies are f1 and f2, third-order intermodulation (IM3) components may appear at frequencies such as 2f1-f2 and 2f2-f1; fifth-order intermodulation (IM5) components may appear at frequencies such as 3f1-2f2 and 3f1-1f1. By pre-listing all potential IM3 and IM5 frequencies based on the device's current active carrier aggregation configuration, these frequencies are compared with the actual collected spectrum data, automatically calibrating the corresponding locations of these theoretical frequencies in the frequency domain. Furthermore, by using algorithms such as threshold detection and slope change analysis (such as second-order derivative mutation identification) to identify frequency jumps, abnormal energy accumulation, and peak power in the spectrum, spurious jump segments can be automatically identified and included in the high-order intermodulation frequency set. This process is usually completed by the built-in algorithm module of the spectrum analyzer or dedicated signal processing tools (such as Python+SciPy).

[0070] Once the high-order intermodulation frequency set is identified, the next step is to obtain the high-order distortion spectrum power density at each point at a known frequency point or frequency band. This process relies on the quantitative measurement of the spectrum response. In specific operations, when using a power analyzer or OTA test system for spectrum scanning, the test bandwidth is usually divided into several equally spaced frequency resolution units (such as a bin every 1kHz or 10kHz), and the signal power in each frequency bin is integrated, averaged or peak extracted to obtain the power spectrum density per unit frequency (usually in dBm / Hz). At the high-order intermodulation frequency point, the power value corresponding to the bin is extracted, which is the high-order distortion spectrum power density value at that frequency point. In order to ensure that it is effectively distinguished from background noise, the system usually has a baseline noise threshold (such as a valid distortion point only if it is more than 3dB higher than the background noise), and combines it with the background reference spectrum measured by the device in the non-transmitting state as a control.

[0071] The core function of this step is to form a two-dimensional spectrum disturbance rate characteristic matrix that reflects the high-order nonlinear disturbance intensity and spatial distribution characteristics under the multi-carrier combination transmission state through the dual-weight aggregation method of frequency point energy and frequency domain position, providing a basic feature input source for the subsequent quantitative evaluation of the superposition degree.

[0072] After completing the construction of the spectrum disturbance rate characteristic matrix, the spectrum weight aggregation mechanism is further introduced to perform energy aggregation calculation on all frequency points with high-order distortion, and to construct a quantitative index to characterize the intensity of the overall nonlinear superposition effect, namely the superposition nonlinear reference value. The calculation expression of the superposition nonlinear reference value is as follows:

[0073]

[0074] , where: A ni is the superimposed nonlinear reference value, ψ(f) is the spectrum impact factor function, which is used to increase the distortion sensitivity in key frequency areas (such as adjacent channel band boundaries and authorized frequency band boundaries). It can be defined as a spectrum exponential decay function, such as: Where β is the attenuation coefficient, f edge represents the frequency of the target band boundary; δ is the trend amplification exponent, which is used to adjust the exponential growth slope. When the nonlinear disturbance reaches a high level, the increase is amplified to enhance the discrimination in high-overlap scenarios; ln(·) is the natural logarithm function, which is used to compress the response fluctuation in low-disturbance situations to avoid oversensitivity. It means that all frequency points with nonlinear distortion energy are integrated and summed to form the overall disturbance aggregation;

[0075] The superimposed nonlinear reference value A generated by the above method ni It can be used as a core evaluation indicator to characterize the nonlinear interaction strength of the multi-carrier aggregation combination under the current RF transmission state. ni When the value is high, it indicates that the device has a serious power superposition nonlinearity problem under this aggregation combination, and it is very likely that it has exceeded the linear operating area of the RF amplifier and entered the spectrum pollution range, causing serious impact on adjacent channel interference and compliance performance.

[0076] The superposition nonlinearity reference value, generated by quantifying the proportion of high-order distortion in the power distribution spectrum of the carrier aggregation combination using feature engineering techniques, indicates that a larger performance value indicates more severe power superposition during RF transmission of the carrier aggregation combination, while a smaller performance value indicates less severe power superposition during RF transmission of the carrier aggregation combination. This is because the superposition nonlinearity reference value is constructed through in-depth analysis of the spectrum response under multi-carrier aggregation using feature engineering techniques. Its core basis is the energy density distribution of high-order distortion components (such as third-order intermodulation, fifth-order intermodulation, and spurious emissions) in the spectrum and their weighted cumulative intensity on the frequency axis. With the parallel transmission of multiple component carriers and the increase in RF resource overlap, the system is more likely to enter the nonlinear operating region, resulting in a significant increase in high-order intermodulation components, resulting in a higher spectral perturbation rate and spectral energy leakage. The superposition nonlinear reference value integrates, amplifies, and normalizes the enhanced characteristics of these disturbance components. The increase in its value essentially quantifies the nonlinear interaction intensity and power accumulation degree of the RF link during aggregate transmission. Therefore, the larger the superposition nonlinear reference value, the heavier the spectrum pollution, the more unstable the transmission state, and the more severe the power superposition, and vice versa.

[0077] S5. Identify carrier aggregation combinations with high overlay risk based on the overlay strength indicator generated in S4;

[0078] The overlay nonlinearity reference value quantified through feature engineering technology is compared with the pre-set overlay nonlinearity reference threshold to identify carrier aggregation combinations with high overlay risk. The specific steps are as follows:

[0079] If the overlay nonlinearity reference value is greater than the overlay nonlinearity reference threshold, the carrier aggregation combination is identified as a high overlay risk carrier aggregation combination; if the overlay nonlinearity reference value is less than or equal to the overlay nonlinearity reference threshold, the carrier aggregation combination is identified as a normal carrier aggregation combination.

[0080] S6. For carrier aggregation combinations with high overlapping risk, an adaptive control strategy is used to assign a dynamic power weighting factor to each component carrier. During actual control, the output power of some component carriers is dynamically suppressed according to the overlapping strength index to control the overall TRP within the regulatory limit;

[0081] For carrier aggregation combinations with high overlap risk, an adaptive control strategy is used to assign a dynamic power weighting factor to each component carrier and dynamically suppress the output power of some component carriers based on the overlap strength index. The specific steps are as follows:

[0082] For carrier aggregation combinations identified as having high overlay risk, the dynamic power weighting factor of each component carrier is first calculated based on the relative deviation between the overlay nonlinearity reference value corresponding to the carrier aggregation combination and the overlay nonlinearity reference threshold. The calculation expression is as follows:

[0083]

[0084] , where: W i is the dynamic power weight factor of the i-th component carrier, and its value range is usually [0, 1]; t is the suppression sensitivity factor, which is used to adjust the proportional control of the overall suppression amplitude; λ is the dynamic response stretching factor, which is used to adjust the response slope of the superimposed nonlinear offset to the change of power weight; ρ i is the priority coefficient of the i-th component carrier, which is set according to the service importance or carrier bandwidth allocation. A higher value indicates a lower degree of carrier power suppression. tanh(·) is a hypertangent nonlinear mapping function that ensures smooth weight changes and nonlinear suppression characteristics.

[0085] This step automatically adjusts the transmit power weight of each component carrier by superimposing a nonlinear reference value deviation, giving priority to suppressing carriers with lower system contribution or narrower bandwidth, thereby alleviating the overall power superposition risk while ensuring the performance of the core carrier.

[0086] After the power weight factor of each component carrier is calculated, the actual transmit power of each component carrier is dynamically adjusted based on the weight factor. The specific control formula is as follows:

[0087]

[0088] , where: TRP' i is the total radiated power of the ith component carrier after adjustment; TRP i is the total radiated power of the ith component carrier in the original unadjusted state; TRP' agg is the total radiated power of the overall aggregation combination after dynamic control; N is the total number of component carriers in the carrier aggregation combination;

[0089] This step achieves dynamic compliance power management by superimposing the transmit power adjusted based on dynamic weights, so that the final aggregated overall TRP is controlled within the regulatory limits without damaging the performance of the main carrier, while maintaining the communication capabilities and system stability of the equipment operation.

[0090] S7. After completing the dynamic power control of the component carriers, the network access approval configuration information file (such as the XML or EXCEL format declaration file) is updated synchronously, and the power cap description under each carrier aggregation combination is revised to ensure that the RF emission behavior of the device in actual operation is strictly consistent with the network access approval declaration parameters;

[0091] After completing the dynamic power control of the component carriers, the network access approval configuration information file is updated synchronously, and the power cap description of each carrier aggregation combination is revised. The specific steps are as follows:

[0092] After dynamic power control is completed for carrier aggregation combinations with high overlap risk, the overall transmit power configuration parameters for each aggregation combination are re-aggregated based on the actual adjusted transmit power of each component carrier;

[0093] Then, according to the network access approval specifications, use a standardized data template (such as an XML structure or Excel spreadsheet) to update the adjusted transmit power upper limit value to the corresponding field, ensuring that the transmit power description item for each combination mode corresponds to the actual dynamic control result;

[0094] Next, the revised configuration information file is checked for consistency, verifying the completeness of field filling, format standardization, and power value compliance to avoid subsequent declaration rejections due to document errors.

[0095] Finally, the new version of the configuration information file that has been verified and confirmed to be correct will be submitted to the network access approval declaration system as the official equipment RF parameter filing information, thereby achieving a consistent closed loop between the equipment's operating emission behavior and the description in the approval document, ensuring that regulatory compliance and testing consistency requirements are met simultaneously.

[0096] This synchronization process should be solidified in the software version management system to form a fixed configuration, preventing deviations caused by subsequent version changes. This serves as a final closed-loop configuration approval system, avoiding the risk of passing testing but failing to comply with regulations due to power deviations during the subsequent commercial phase. This ensures regulatory compliance and market stability throughout the device's lifecycle.

[0097] Through the above-mentioned method for generating network access approval configuration information, it is possible to achieve accurate quantitative identification of the severity of power superposition based on high-precision single-band baseline power measurement and multi-carrier aggregation superposition feature extraction in all carrier aggregation combination scenarios actually supported by the device, and adaptively and dynamically adjust the transmission power allocation of each component carrier for high superposition risk combinations to ensure that the total aggregated transmission power is strictly controlled within the regulatory limits. By synchronously revising the network access approval configuration information file, a one-to-one compliance closed loop is established between the actual operating status of the equipment and the network access approval declaration data, effectively avoiding major risks such as inspection failure, network access rejection, and market delays due to excessive power superposition, thereby improving the pass rate of network access approval for communication equipment and the controllability of the certification process.

[0098] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0099] The above description is merely illustrative of certain exemplary embodiments of the present invention. It goes without saying that those skilled in the art will be able to modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and description are illustrative in nature and should not be construed as limiting the scope of protection of the claims.

[0100] 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. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0101] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0102] In the several embodiments provided in this application, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. 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 system, 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 an indirect coupling or communication connection of some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0103] 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.

[0104] In addition, each functional unit in each embodiment of the present application 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.

[0105] If the functions are implemented in the form of 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 application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0106] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A method for generating network access approval configuration information, characterized in that: The following steps are involved: S1. Identify all carrier aggregation modes supported by the device and establish a comprehensive test scope based on the carrier aggregation modes. S2. Without aggregation, set the device to independently activate the transmit state for each supported frequency band. Use a power analyzer to perform single-band EIRP and TRP baseline measurements, and fully record the maximum transmit power data for each frequency band. S3. Configure the device to the specified multi-carrier aggregation state according to the carrier aggregation combination mode listed in S1, ensure that all component carriers are simultaneously activated and transmitting, use dedicated test commands to synchronize uplink transmissions of each component carrier, and use a power analyzer to collect real-time overall radiated power data when multiple carriers are transmitting simultaneously; S4. Extracting overlapping features from the collected multi-carrier overlapping transmit power data, performing quantitative analysis on the extracted features using feature engineering techniques, and constructing an overlapping strength index corresponding to each carrier aggregation combination to accurately quantify the severity of power overlapping for each carrier aggregation combination during RF transmission. S5. Identify carrier aggregation combinations with high overlay risk based on the overlay strength indicator generated in S4; S6. For carrier aggregation combinations with high overlapping risk, an adaptive control strategy is used to assign a dynamic power weighting factor to each component carrier. During actual control, the output power of some component carriers is dynamically suppressed according to the overlapping strength index to control the overall TRP within the regulatory limit; S7. After completing the dynamic power control of the component carriers, the network access approval configuration information file is updated synchronously, and the power upper limit description under each carrier aggregation combination is revised to ensure that the RF transmission behavior of the equipment in actual operation is consistent with the network access approval declaration parameters.

2. A method for generating network access approval configuration information according to claim 1, characterized in that: To establish a comprehensive test coverage based on the carrier aggregation combination mode, follow these steps: Identify the frequency band of the current device and the supported carrier aggregation capabilities, including the aggregation band, aggregation type, uplink / downlink support, number of carriers, and maximum bandwidth configuration; Combine the device's PICS table with the test specification document to extract the specific carrier aggregation combination modes supported by the manufacturer; All combinations are classified and sorted to form a frequency band aggregation mapping table, and labeled based on risk level; Draw a carrier aggregation test coverage matrix, include the test items corresponding to each combination, and associate the corresponding test conditions; Output a complete carrier aggregation test panorama.

3. The method for generating network access approval configuration information according to claim 1, wherein: The superposition characteristic quantity is extracted from the collected multi-carrier superposition transmission power data, wherein the extracted superposition characteristic quantity includes the high-order distortion ratio of the power distribution spectrum under the carrier aggregation combination state. The feature engineering technology is used to quantitatively analyze the extracted characteristic quantity to generate a superposition nonlinear reference value. The superposition nonlinear reference value is used to construct the superposition strength index corresponding to each carrier aggregation combination, which is used to accurately quantify the power superposition severity of each carrier aggregation combination during the radio frequency transmission process.

4. A method for generating network access approval configuration information according to claim 3, characterized in that: Feature engineering techniques are used to quantitatively analyze the proportion of high-order distortion in the power distribution spectrum under the carrier aggregation combination state to generate a superimposed nonlinear reference value. The specific steps are as follows: Identify the high-order intermodulation frequency set from the spectrum data, and obtain the high-order distortion spectrum power density corresponding to each frequency point in the high-order intermodulation frequency set. Construct the spectrum disturbance rate feature matrix through the high-order distortion spectrum power density. The constructed expression is as follows: Where: Θ(f) represents the spectrum perturbation rate function about frequency f, which is used to quantify the degree of power perturbation caused by high-order nonlinear distortion at frequency f; P imd (f) represents the high-order distortion spectrum power density measured at frequency f, which is used to reflect the energy intensity of the corresponding intermodulation or spurious components; γ is the spectrum amplitude enhancement factor, which performs nonlinear amplification on the weight of the high-power distortion component; φ(f) is the frequency position weighting function, which is used to increase the sensitivity to the distortion components far away from the center frequency; F imd For the set of high-order intermodulation frequencies, only the frequency bands with the risk of distortion are modeled; After completing the construction of the spectrum disturbance rate characteristic matrix, the spectrum weight aggregation mechanism is introduced to perform energy aggregation calculation on all frequency points with high-order distortion, and construct a superposition nonlinear reference value that characterizes the intensity of the overall nonlinear superposition effect. The constructed expression is as follows: Among them: A ni is the superimposed nonlinear reference value; ψ(f) is the spectral influence factor function, which is used to improve the distortion sensitivity in the key frequency area; δ is the trend amplification exponent, which is used to adjust the exponential growth slope; ln(·) is the natural logarithm function, which is used to compress the response fluctuation under low disturbance.

5. A method for generating network access approval configuration information according to claim 4, characterized in that: The overlay nonlinearity reference value quantified through feature engineering technology is compared with the pre-set overlay nonlinearity reference threshold to identify carrier aggregation combinations with high overlay risk. The specific steps are as follows: If the overlay nonlinearity reference value is greater than the overlay nonlinearity reference threshold, the carrier aggregation combination is identified as a high overlay risk carrier aggregation combination; If the superposition nonlinearity reference value is less than or equal to the superposition nonlinearity reference threshold, the carrier aggregation combination is identified as a normal carrier aggregation combination.

6. A method for generating network access approval configuration information according to claim 5, characterized in that: For carrier aggregation combinations with high overlap risk, an adaptive control strategy is used to assign a dynamic power weighting factor to each component carrier and dynamically suppress the output power of some component carriers based on the overlap strength index. The specific steps are as follows: For carrier aggregation combinations identified as having high overlay risk, the dynamic power weighting factor of each component carrier is calculated based on the relative deviation between the overlay nonlinearity reference value corresponding to the carrier aggregation combination and the overlay nonlinearity reference threshold. The calculation expression is as follows: Where: W i is the dynamic power weight factor of the i-th component carrier; ζ is the suppression sensitivity factor, which is used to adjust the proportional control of the overall suppression amplitude; λ is the dynamic response stretch factor, which is used to adjust the response slope of the superimposed nonlinear offset to the power weight change; ρ i is the priority coefficient of the i-th component carrier.

7. A method for generating network access approval configuration information according to claim 6, characterized in that: After the power weight factor of each component carrier is calculated, the actual transmit power of each component carrier is dynamically adjusted based on the weight factor. The specific control formula is as follows: Where: TRP′ i is the total radiated power of the ith component carrier after adjustment; TRP i is the total radiated power of the i-th component carrier in the original unadjusted state; TRP′ agg is the total radiated power of the overall aggregation combination after dynamic control; N is the total number of component carriers in the carrier aggregation combination.

8. The method for generating network access approval configuration information according to claim 1, wherein: After completing the dynamic power control of the component carriers, the network access approval configuration information file is updated synchronously, and the power cap description of each carrier aggregation combination is revised. The specific steps are as follows: After dynamic power control is completed for the high-overlapping-risk carrier aggregation combination, the overall transmit power configuration parameters for each aggregation combination are re-aggregated based on the actual adjusted transmit power of each component carrier; According to the network access approval specifications, use a standardized data template to update the adjusted transmit power upper limit value to the corresponding field to ensure that the transmit power description item of each combination mode corresponds to the actual dynamic control result; Perform consistency check on the revised configuration information file to verify the completeness of field filling, format standardization and power value compliance; The new version of the configuration information file that has been verified and confirmed to be correct will be submitted to the network access approval declaration system as the official equipment RF parameter filing information, to achieve a closed loop of consistency between the equipment's operating emission behavior and the description in the approval document.

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