Base station signal adjustment method and device, equipment and storage medium

Abstract

Embodiments of the present application provide a base station signal adjustment method, device, equipment and storage medium, which are applied to a base station adjustment system, and the method comprises: acquiring current sea surface climate information, and acquiring a base station spectrum propagation model conforming to the current sea surface climate according to the current sea surface climate information; the base station spectrum propagation model is generated based on a spectrum propagation model established according to a light propagation path of spectrum propagation to the base station under different sea surface climate conditions; user position information and base station initial parameters for the base station are acquired; base station adjustment parameters are obtained according to the user position information, the base station initial parameters and the base station spectrum propagation model; and the base station adjustment parameters are used to instruct the base station adjustment system to make corresponding adjustment to base station parameters of the base station. The base station parameters are adjusted based on different sea surface climate conditions to automatically adapt to fluctuating sea levels, weather and the like, suitable for power adjustment of sea surface coverage, and providing high-quality signal service quality for users at the edge of a sea signal.

Description

Technical Field

[0001] This invention relates to the field of wireless base station technology, and in particular to a base station signal adjustment method, a base station signal adjustment device, a corresponding electronic device, and a corresponding non-volatile computer-readable storage medium. Background Technology

[0002] The signal coverage and quality of wireless base stations on the sea surface are usually affected by factors such as their power, antenna direction, sea level, wind, waves, and fog. Especially in the edge areas of signal coverage, signal reflection and other factors often cause the signal-to-noise ratio of the user's reception to cross, which ultimately leads to the phenomenon of dropped calls.

[0003] Operators aim to provide the best possible signal quality to users at the edge of the maritime signal coverage area over the widest possible range. However, current wireless base stations on the sea primarily achieve remote coverage through fixed antenna orientation and power parameters, which cannot provide high-quality signal service to users at the edge of the maritime signal coverage area under conditions such as fluctuating sea surface and weather. Summary of the Invention

[0004] In view of the above problems, embodiments of the present invention are proposed to provide a base station signal adjustment method, a base station signal adjustment device, a corresponding electronic device, and a corresponding non-volatile computer-readable storage medium to overcome or at least partially solve the above problems.

[0005] This invention discloses a base station signal adjustment method, applied to a base station adjustment system, the method comprising:

[0006] Obtain current sea surface climate information, and obtain a base station spectrum propagation model that conforms to the current sea surface climate based on the current sea surface climate information; the base station spectrum propagation model is generated based on the spectrum propagation model established according to the light propagation path of the spectrum to the base station under different sea surface climate conditions;

[0007] Obtain user location information and initial base station parameters for the base station;

[0008] Based on the user location information, the base station initial parameters, and the base station spectrum propagation model, base station adjustment parameters are obtained; the base station adjustment parameters are used to instruct the base station adjustment system to make corresponding adjustments to the base station parameters.

[0009] Optionally, obtaining the base station adjustment parameters based on the user location information, the base station initial parameters, and the base station spectrum propagation model includes:

[0010] The user location information and the initial parameters of the base station are input into the base station spectrum propagation model, and the base station adjustment parameters are output.

[0011] Optionally, the method further includes:

[0012] After adjusting the base station parameters based on the base station adjustment parameters, the user's reported information after the base station parameter adjustment and the base station's expected parameters provided by the base station are obtained; the reported information includes at least one of signal strength, signal-to-noise ratio, and signal frequency;

[0013] The reported information is compared with the expected parameters of the base station. In response to the difference between the reported information and the expected parameters of the base station, the base station spectrum propagation model that conforms to the current sea surface climate is fine-tuned. The base station adjustment parameters output by the fine-tuned base station spectrum propagation model are then used to adjust the base station parameters of the base station again.

[0014] Optionally, the fine-tuning operation of the base station spectrum propagation model that conforms to the current sea surface climate includes:

[0015] The base station spectrum propagation model that conforms to the current sea surface climate is fine-tuned until the base station adjustment parameters output by the fine-tuned base station spectrum propagation model are adjusted, and the user's reported information meets the expected parameters of the base station.

[0016] Optionally, the base station spectrum propagation model is generated in the following way:

[0017] Acquire sea surface climate sample information and received light source information representing different time points;

[0018] A spectral propagation model is established based on the sea surface climate sample information and the light source information; the spectral propagation model is used to simulate spectral propagation.

[0019] The frequency band information of the base station is obtained, and a base station spectrum propagation model is established based on the frequency band information of the base station and the spectrum propagation model; the base station spectrum propagation model is used for electromagnetic signal simulation.

[0020] Optionally, the sea surface climate sample information includes meteorological environmental information and marine monitoring information, used to form different sea surface climate conditions; the step of establishing a spectral propagation model based on the sea surface climate sample information and the light source information includes:

[0021] The light source information is analyzed to obtain the light propagation path from the light source signal to the base station.

[0022] Based on the light propagation path and the corresponding sea surface climate information for different sea surface climate conditions, a spectral propagation model is established for different time points and different sea surface climate conditions.

[0023] Optionally, the light propagation path includes direct and reflected light source propagation paths of different spectra to the base station, wherein the light source propagation path is opposite to the emission direction of the base station; the step of establishing a base station spectrum propagation model based on the frequency band information of the base station and the spectral propagation model includes:

[0024] Based on the differences between the different spectra and the frequency band information of the base station, as well as the differences between the different frequency band information of the base station, a base station wireless frequency propagation model is established on the basis of the spectral propagation model.

[0025] This invention also provides a base station signal adjustment device, applied to a base station adjustment system, the device comprising:

[0026] The base station spectrum propagation model acquisition module is used to acquire current sea surface climate information and acquire a base station spectrum propagation model that conforms to the current sea surface climate based on the current sea surface climate information; the base station spectrum propagation model is generated based on the spectrum propagation model established according to the light propagation path of the spectrum to the base station under different sea surface climate conditions;

[0027] The user location information acquisition module is used to acquire user location information and base station initial parameters for the base station;

[0028] The base station parameter adjustment module is used to obtain base station adjustment parameters based on the user location information, the base station initial parameters, and the base station spectrum propagation model; the base station adjustment parameters are used to instruct the base station adjustment system to adjust the base station parameters of the base station accordingly.

[0029] Optionally, the base station parameter adjustment module includes:

[0030] The base station adjustment parameter output submodule is used to input the user location information and the base station initial parameters into the base station spectrum propagation model and output the base station adjustment parameters.

[0031] Optionally, the base station signal adjustment device proposed in this embodiment of the invention further includes:

[0032] The reporting information receiving module is used to obtain the user's reported information after the base station parameters are adjusted based on the base station adjustment parameters, as well as the expected base station parameters provided by the base station; the reported information includes at least one of signal strength, signal-to-noise ratio, and signal frequency;

[0033] The model fine-tuning module is used to compare the reported information with the expected parameters of the base station, and in response to the difference between the reported information and the expected parameters of the base station, to fine-tune the base station spectrum propagation model that conforms to the current sea surface climate, and to adjust the base station parameters of the base station again using the base station adjustment parameters output by the fine-tuned base station spectrum propagation model.

[0034] Optionally, the model fine-tuning module includes:

[0035] The model fine-tuning submodule is used to fine-tune the base station spectrum propagation model that conforms to the current sea surface climate until the base station adjustment parameters output by the fine-tuned base station spectrum propagation model are adjusted, and the user's reported information meets the expected parameters of the base station.

[0036] Optionally, the base station signal adjustment device proposed in this embodiment of the invention further includes:

[0037] The base station spectrum propagation model generation module is used to generate a base station spectrum propagation model based on the spectrum propagation model established according to the light propagation path of the spectrum to the base station under different sea surface climate conditions.

[0038] Optionally, the base station spectrum propagation model generation module includes:

[0039] The light source information acquisition submodule is used to acquire sea surface climate sample information and received light source information representing different time points;

[0040] The spectral propagation model establishment submodule is used to establish a spectral propagation model based on the sea surface climate sample information and the light source information; the spectral propagation model is used to simulate spectral propagation.

[0041] The base station spectrum propagation model establishment submodule is used to obtain the frequency band information of the base station and establish the base station spectrum propagation model based on the frequency band information of the base station and the spectrum propagation model; the base station spectrum propagation model is used to simulate electromagnetic signals.

[0042] Optionally, the sea surface climate sample information includes meteorological environmental information and marine monitoring information, used to form different sea surface climate conditions; the spectral propagation model establishment submodule includes:

[0043] A light source information analysis unit is used to analyze the light source information to obtain the propagation path of the light rays in the light source signal that propagate to the base station.

[0044] The spectral propagation model establishment unit is used to establish spectral propagation models for different time points and different sea surface climate conditions based on the light propagation path and the corresponding sea surface climate condition information for the different sea surface climate conditions.

[0045] Optionally, the light propagation path includes direct and reflected light source propagation paths of different spectra to the base station, wherein the light source propagation path is opposite to the emission direction of the base station; the base station spectrum propagation model establishment submodule includes:

[0046] The base station spectrum propagation model establishment unit is used to establish a base station wireless frequency propagation model based on the spectrum propagation model, according to the difference information between the different spectrums and the frequency band information of the base station, as well as the difference information between different frequency band information of the base station.

[0047] This invention also provides an electronic device, including: a processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements any of the base station signal adjustment methods described above.

[0048] This invention also provides a non-volatile computer-readable storage medium storing a computer program, which, when executed by a processor, implements any of the base station signal adjustment methods described above.

[0049] The embodiments of the present invention have the following advantages:

[0050] In this embodiment of the invention, a base station spectrum propagation model conforming to the current sea surface climate is obtained. Based on the current user location information and the initial parameters of the base station, these parameters are input into the obtained base station spectrum propagation model to obtain base station adjustment parameters for instructing the base station adjustment system to adjust the base station parameters accordingly. Since the base station spectrum propagation model is generated based on the spectral propagation path of light propagating to the base station under different sea surface climate conditions, the base station parameters are adjusted under different sea surface climate conditions to automatically adapt to fluctuating sea levels, weather, and other conditions. This is suitable for power adjustment of sea surface coverage and provides high-quality signal service for users at the edge of the sea signal. Attached Figure Description

[0051] Figure 1 This is a flowchart illustrating the steps of an embodiment of a base station signal adjustment method according to the present invention;

[0052] Figure 2 This is a flowchart illustrating the steps of another embodiment of the base station signal adjustment method of the present invention;

[0053] Figure 3 This is a schematic diagram of the system framework of the base station adjustment system provided in an embodiment of the present invention;

[0054] Figures 4A to 4C This is a schematic diagram illustrating an application scenario of base station signal adjustment provided in an embodiment of the present invention;

[0055] Figure 5 This is a structural block diagram of an embodiment of a base station signal adjustment device according to the present invention. Detailed Implementation

[0056] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0057] To provide high-quality signal service to users at the edge of the signal coverage area at sea under fluctuating sea levels and weather conditions, the core idea of ​​this invention is to dynamically adjust the base station parameters by simulating electromagnetic signals in complex sea environments. This results in the output of effective base station signals, and through interaction with the base station signals, high-quality signal output is achieved. Specifically, through big data analysis and modeling, base station parameters are automatically adjusted to provide mobile terminals within the signal range with the best possible signal strength and signal-to-noise ratio, achieving long-distance coverage at sea. Specifically, a base station spectrum propagation model conforming to the current sea climate is obtained. Based on the current user location information and the initial base station parameters, this model is input to instruct the base station adjustment system to adjust the base station parameters accordingly. Since the base station spectrum propagation model is generated based on the light propagation path from the spectrum to the base station under different sea climate conditions, adjusting the base station parameters under different sea climate conditions automatically adapts to fluctuating sea levels and weather conditions, providing power adjustment suitable for sea coverage and offering high-quality signal service to users at the edge of the signal coverage area at sea.

[0058] Reference Figure 1 The diagram illustrates a flowchart of an embodiment of a base station signal adjustment method according to the present invention. Applied to a base station adjustment system, it focuses on the process of adjusting base station parameters and specifically includes the following steps:

[0059] Step 101: Obtain current sea surface climate information, and obtain a base station spectrum propagation model that conforms to the current sea surface climate based on the current sea surface climate information;

[0060] The purpose of adjusting base station signals is to adjust parameters related to the signal service quality of the base station, such as signal coverage, signal strength, and signal-to-noise ratio. These parameters are adjusted by modifying the base station parameters.

[0061] In this embodiment of the invention, in order to provide high-quality signal service to users at the edge of the signal at sea under fluctuating sea levels, weather and other conditions, a big data output model can be established by collecting data from optical feedback systems, marine information and meteorology, so as to adjust the power for sea surface coverage.

[0062] Specifically, the established big data output model can be a database of electromagnetic wave propagation and reflection models corresponding to complex sea environments, such as different sea climate conditions. The propagated and reflected electromagnetic waves can be equivalent to the transmitted signals of base stations. At this time, the impact of base station signals on different sea climate conditions can be represented based on the database of electromagnetic wave propagation and reflection models.

[0063] In practice, the large database of electromagnetic wave propagation and reflection models can be established in two processes: one is the spectral propagation model used for spectral propagation simulation, and the other is the base station spectral propagation model used for electromagnetic signal simulation.

[0064] In this model, the light source propagation path is typically opposite to the base station's emission direction; therefore, the spectral propagation model can be called the reverse spectral propagation model. The base station spectral propagation model is generated based on the spectral propagation path of light rays propagating to the base station under different sea surface climate conditions; that is, it is built upon the spectral propagation model. This base station spectral propagation model can be called the forward base station spectral propagation model. It should be noted that the specific establishment process of the spectral propagation model and the base station spectral propagation model is not limited in this embodiment of the invention.

[0065] In one embodiment of the present invention, in the process of adaptively adjusting base station parameters in response to fluctuating sea levels, weather, and other conditions, current sea surface climate information can be obtained, and a base station spectrum propagation model that conforms to the current sea surface climate can be obtained based on the current sea surface climate information, so as to achieve adaptive adjustment of parameters through the obtained base station spectrum propagation model.

[0066] Step 102: Obtain user location information and initial base station parameters for the base station;

[0067] In order to achieve long-distance coverage of the sea surface under different sea surface climate conditions, in addition to exchanging the current sea surface climate information with the base station signal, the user location information under this sea surface climate condition can also be exchanged with the base station signal to achieve high-quality signal output and provide mobile terminals within the signal range with the best possible signal strength and signal-to-noise ratio.

[0068] The user location information may include, but is not limited to, mobile terminal location (mainly represented by latitude and longitude), fishing vessel information (mainly represented by altitude), and fishing vessel location (mainly represented by latitude and longitude). This embodiment of the invention does not impose any restrictions on this.

[0069] Step 103: Obtain base station adjustment parameters based on user location information, base station initial parameters, and base station spectrum propagation model.

[0070] In one embodiment of the present invention, initial base station parameters can be obtained at this time so that adaptive base station adjustment parameters can be output based on user location information under the current sea surface climate conditions, using the obtained initial base station parameters as a reference.

[0071] Specifically, user location information and initial base station parameters can be input into the base station spectrum propagation model to output base station adjustment parameters. These parameters can then be used to instruct the base station adjustment system to adjust the base station parameters accordingly, ensuring the base station signal covers the corresponding range of the user's location information.

[0072] In some embodiments of the present invention, after adjusting the base station parameters based on the base station adjustment parameters, in order to improve the accuracy of the adaptive base station adjustment parameters output by the base station spectrum propagation model, the expected base station parameters provided by the base station can be obtained, and the base station spectrum propagation model can be fine-tuned based on the expected base station parameters.

[0073] The expected base station parameters refer to the optimized base station parameters that, under current sea surface and climate conditions, can provide high-quality signal service to users at their current location. In practical applications, this can be achieved by obtaining user-reported information after base station parameter adjustments, along with the expected base station parameters provided by the base station. The reported information is then compared with the expected base station parameters. Based on the differences between the reported information and the expected base station parameters, the base station spectrum propagation model that conforms to the current sea surface and climate conditions is fine-tuned. Since the purpose of adjusting the base station signal is to adjust parameters related to the base station's signal service quality, and these parameters are adjusted by adjusting the base station parameters, the base station adjustment parameters output by the fine-tuned base station spectrum propagation model can be used to further adjust the base station parameters.

[0074] Parameters related to the signal service quality of a base station include, for example, signal coverage, signal strength, and signal-to-noise ratio (SNR). The expected parameters provided by the base station can include signal coverage, signal strength, and SNR. Similarly, to compare with these expected parameters, the user's reported information can include at least one of signal strength, SNR, and signal frequency. It should be noted that the expected base station parameters are generally set in the system and can be configured according to actual needs. For example, assuming an expected horizontal distance of 25, the power range and edge received signal strength should be greater than -105 dBM (Decibel Relative to One Milliwatt), and SINA (sine wave signal, which can refer to the electromagnetic wave signal of the base station, where not all electromagnetic waves are sinusoidal, but can all be decomposed into a superposition of sinusoidal waves) should be greater than 3 dB. This embodiment of the invention does not impose any limitations on these aspects.

[0075] In a preferred embodiment, during the fine-tuning of the base station spectrum propagation model conforming to the current sea surface climate, the base station spectrum propagation model can be continuously fine-tuned until the user's reported information meets the expected parameters of the base station after adjusting the base station adjustment parameters output based on the fine-tuned base station spectrum propagation model. It should be noted that when re-implementing base station parameter adjustments, the input values ​​can be antenna downtilt angle, azimuth angle, power, pilot power intensity, etc. This embodiment of the invention does not limit the specific fine-tuning method of the model.

[0076] In this embodiment of the invention, a base station spectrum propagation model conforming to the current sea surface climate is obtained. Based on the current user location information and the initial parameters of the base station, the obtained base station spectrum propagation model is input to the base station adjustment model. This is used to instruct the base station adjustment system to adjust the base station parameters accordingly. Since the base station spectrum propagation model is generated based on the spectral propagation path of light propagating to the base station under different sea surface climate conditions, the base station parameters are adjusted under different sea surface climate conditions to automatically adapt to fluctuating sea levels, weather, and other conditions. This is suitable for power adjustment of sea surface coverage and provides high-quality signal service for users at the edge of the sea signal.

[0077] Reference Figure 2 The diagram illustrates a flowchart of another embodiment of the base station signal adjustment method of the present invention, applied to a base station adjustment system, focusing on the generation process of the base station spectrum propagation model, and specifically including the following steps:

[0078] Step 201: Obtain sea surface climate sample information and received light source information representing different time points;

[0079] In this embodiment of the invention, in order to provide high-quality signal service to users at the edge of the signal at sea under fluctuating sea levels, weather and other conditions, a big data output model can be established by collecting data from optical feedback systems, marine information and meteorology, so as to adjust the power for sea surface coverage.

[0080] Specifically, the established big data output model can be a database of electromagnetic wave propagation and reflection models corresponding to complex sea environments, such as different sea climate conditions. The propagated and reflected electromagnetic waves can be equivalent to the transmitted signals of base stations. At this time, the impact of base station signals on different sea climate conditions can be represented based on the database of electromagnetic wave propagation and reflection models.

[0081] In practice, the large database of electromagnetic wave propagation and reflection models can be established in two processes: one is the spectral propagation model used for spectral propagation simulation, and the other is the base station spectral propagation model used for electromagnetic signal simulation.

[0082] In this model, the propagation path of the light source is usually opposite to the transmission direction of the base station, and the spectral propagation model can be called the reverse spectral propagation model.

[0083] Step 202: Establish a spectral propagation model based on sea surface climate sample information and light source information; the spectral propagation model is used to simulate spectral propagation.

[0084] In one embodiment of the present invention, the reverse spectral propagation model can be established based on sea surface climate sample information and light source information.

[0085] Specifically, sea surface climate information can include meteorological environmental information (such as wind, fog, etc.) and marine monitoring information (such as sea level height, wave level (represented by sea level slope and size), wind direction (represented by sea level slope direction), etc.). The corresponding sea surface climate sample information can include sample information corresponding to these information. This meteorological environmental information and marine monitoring information can be used to form different sea surface climate conditions. That is, different climate conditions can be generated by modeling based on different meteorological environmental information, or based on different marine monitoring information, or based on different fixed light source information. Alternatively, it can be any combination and superposition of different climate conditions from the aforementioned different types of information to generate the model.

[0086] Besides the impact of varying sea surface climate conditions on base station signals, the existence of light propagation paths from light sources also affects base station signals. Light source information can be obtained, including information about sunlight and / or fixed light sources. This information can then be analyzed, specifically by analyzing the light paths of different frequencies (different color spectra), to obtain the light propagation paths from the light source signal to the base station, such as direct and transmitted light paths.

[0087] In practical applications, spectral propagation models can be established at different times and under different sea surface climate conditions based on the light propagation path and the corresponding sea surface climate information.

[0088] It should be noted that the fixed light source is independent of different climatic conditions. Since the electromagnetic waves from the wireless base station and the fixed light source are roughly similar in frequency, it can be assumed that the direction of direct and reflected light from the fixed light source is similar to that of the wireless base station under different climatic conditions and on the sea surface. The different electromagnetic wave emission directions are mainly reflected in the optical spectrum receiving system installed on the base station side. Analyzing the paths of direct and reflected light of different spectra (color spectra) to the base station side, i.e., their opposite to the signals emitted by the base station, and using a spectral propagation simulation, the established spectral propagation model can be used to determine the electromagnetic wave propagation path of the wireless base station, and thus determine the impact of different sea surface climatic conditions on the base station signal.

[0089] Step 203: Obtain the frequency band information of the base station, and establish the base station spectrum propagation model based on the base station frequency band information and the spectrum propagation model; the base station spectrum propagation model is used to simulate electromagnetic signals.

[0090] The base station spectrum propagation model can be generated based on the spectral propagation model established according to the light propagation path from the spectrum to the base station under different sea surface climate conditions. That is, it is established on the basis of the spectral propagation model. The base station spectrum propagation model can be called the forward base station spectrum propagation model.

[0091] Specifically, the light propagation path includes the direct and reflected light propagation paths of light sources of different spectra (color spectra) to the base station. The light source propagation path is opposite to the transmission direction of the base station. At this time, based on the difference information between different spectra and the frequency band information of the base station (3G / 4G / 5G use different frequencies), as well as the difference information between different frequency band information of the base station, a base station wireless frequency propagation model can be established on the basis of the spectral propagation model.

[0092] In some embodiments of the present invention, in order to achieve long-distance coverage of the sea surface under different sea surface climate conditions, the current sea surface climate information can be interacted with the base station signal, and the user's information under these sea surface climate conditions can be interacted with the base station signal, thereby achieving the output of high-quality signals and providing the best possible signal strength and signal-to-noise ratio for mobile terminals within the signal range.

[0093] In practical applications, initial base station parameters can be obtained so that subsequent adaptive base station adjustment parameters can be output based on user location information under current sea surface and climate conditions, using these initial parameters as a reference. Specifically, user location information and initial base station parameters can be input into the base station spectrum propagation model, and the output can be the base station adjustment parameters. These obtained base station adjustment parameters can then be used to instruct the base station adjustment system to adjust the base station parameters accordingly, ensuring that the base station signal can cover the corresponding range of the user's location information.

[0094] In this embodiment of the invention, a base station spectrum propagation model conforming to the current sea surface climate is obtained. Based on the current user location information and the initial parameters of the base station, the obtained base station spectrum propagation model is input to the base station adjustment model. This is used to instruct the base station adjustment system to adjust the base station parameters accordingly. Since the base station spectrum propagation model is generated based on the spectral propagation path of light propagating to the base station under different sea surface climate conditions, the base station parameters are adjusted under different sea surface climate conditions to automatically adapt to fluctuating sea levels, weather, and other conditions. This is suitable for power adjustment of sea surface coverage and provides high-quality signal service for users at the edge of the sea signal.

[0095] Reference Figure 3 The diagram illustrates the system framework of the base station adjustment system provided in this embodiment of the invention, which includes the original base station system, a big data processor (CPU, Central Processing Unit), a network information collector, an optical spectrum receiving system, a meteorological and environmental information system, a marine monitoring information system, a mobile user MR (Measurement Report, which refers to the measurement report generated when a user uses a mobile terminal) database, and a fishing vessel going to sea database, etc.

[0096] In this embodiment of the invention, the base station adjustment system can simulate propagation path models under different electromagnetic wave emission directions, different climate environments, and different marine information based on optical path information, meteorological environment information, and marine monitoring information to the user's location of the mobile terminal. This includes a spectral propagation model and a base station spectral propagation model built upon the spectral propagation model. The system then outputs a base station parameter adjustment model and adjusts the base station parameters accordingly. Furthermore, based on information reported by the mobile terminal, the system compares the reported information with the expected base station parameters (including signal strength, signal-to-noise ratio, etc.) provided by the base station. This allows for fine-tuning of the large database of electromagnetic wave comprehensive propagation and reflection models, and ultimately, readjustment of the base station parameters to provide high-quality signal service to users at the edge of the maritime signal range.

[0097] Reference Figures 4A to 4C The diagram illustrates an application scenario of base station signal adjustment provided in an embodiment of the present invention, such as... Figure 3 The base station adjustment system shown can be applied to scenarios with high-quality 3G / 4G / 5G and WIFI coverage in extremely remote areas such as the sea and desert. It is characterized by an automated base station adjustment system that adapts to fluctuating sea level, weather and other factors, thereby providing mobile terminals in signal edge areas with high-quality signal strength and signal-to-noise ratio.

[0098] Specifically, such as Figures 4A to 4C As shown, it can be specifically divided into the big data modeling process, the base station data collection and parameter adjustment process, and the mobile terminal information feedback and adjustment process.

[0099] like Figure 4A As shown, the big data modeling process specifically involves the original base station system, network information collector, optical spectrum receiving system, meteorological environment information system, marine monitoring information system, and big data processor. At this stage, the network information collector can collect meteorological environment information (such as wind and fog) and marine monitoring information, such as sea level height, wave level (represented by sea level slope and size), and wind direction (represented by sea level slope direction). The optical spectrum receiving system receives and analyzes sunlight and / or fixed light source information in real time. Then, the big data processor can establish a large database of electromagnetic wave propagation and reflection models under different time points and climatic conditions. This established spectral propagation model can be called a reverse spectral propagation model. Furthermore, the big data processor can further establish a large database of electromagnetic wave propagation and reflection models based on different frequency bands of the base station. This established base station wireless frequency propagation model can be called a forward base station spectrum propagation model.

[0100] like Figure 4B As shown, the base station data acquisition and parameter adjustment process involves MR databases, fishing vessel outbound databases, network information collectors, and automatic antenna adjusters. At this time, the network information collector can collect real-time information on mobile terminals and fishing vessels at sea through the MR database and fishing vessel outbound database, i.e., user location information, such as mobile terminal location (mainly expressed in latitude and longitude), fishing vessel information (mainly expressed in altitude), and fishing vessel location (mainly expressed in latitude and longitude). Then, the initial parameters of the base station can be obtained through simulation of the original base station system, including base station altitude, latitude and longitude, transmission frequency, and initial power parameters, as inputs to the model. Based on the above two pieces of information, i.e., user location information and the input of the base station initial parameters, a base station parameter adjustment model is output from the electromagnetic wave propagation and reflection model database. The automatic antenna adjuster then implements the base station / antenna parameter adjustment, outputting relevant base station adjustment parameters, including azimuth, downtilt angle, and power parameters.

[0101] like Figure 4C As shown, the feedback and adjustment process of mobile terminal information involves network information collectors, big data processors, MR databases, and automatic antenna tuners. At this time, the big data processor can compare the information reported by the mobile terminal with the expected base station parameters (signal strength, signal-to-noise ratio, etc.) provided by the base station. Based on the difference between the expected parameters and the actual information, fine-tuning is performed using a large database of electromagnetic wave propagation and reflection models. This allows the original base station system and the automatic antenna tuner to re-implement adjustments to the base station parameters (manifested as power parameters) and antenna parameters (manifested as azimuth and downtilt angles).

[0102] In practical applications, assuming a specific fishing scenario, a corresponding forward base station spectrum propagation model can be established based on the environmental factors such as sea level and waves caused by different sea surface climate conditions, using a reverse spectral propagation model. When the current sea surface climate conditions are monitored, the corresponding forward base station spectrum propagation model can be triggered, allowing the fisheries radio station management department to monitor the latitude and longitude information of fishing vessels at sea in real time, i.e., the location information of mobile terminals / users at sea. To ensure maximum coverage and service quality of the base station covering the sea surface, the base station can predict the coverage quality and effect (e.g., expected horizontal distance of 25, power range and edge received strength greater than -105dBM, SINA greater than 3dB) based on the forward base station spectrum propagation model derived under the current sea surface climate conditions and user location information, and implement adjustments to base station parameters such as antenna downtilt angle, azimuth angle, and power.

[0103] For example, suppose that X hours ago, the sea was calm, and the antenna of sector A of the base station covering the sea had an azimuth angle of 20 degrees, a downtilt angle of 3 degrees, and a transmit power of 25W. According to the current forward base station spectrum propagation model, its coverage distance is 25 kilometers (i.e., the received strength at the edge of 25 kilometers is greater than -105dBm, and the SINA is greater than 3dB). At this moment, due to seawater movement, assuming the sea level is 0.2 meters higher than 3 hours ago, and there are Force 6 waves, the calculated propagation distance of the forward base station spectrum model is only 22 kilometers. Meanwhile, according to the user location information fed back by the fishery radio station, in the scenario of fishing, the user location information is usually represented by fishing boat information. There are 24-25 kilometers away in the direction of the 10-degree azimuth angle (i.e., there are mobile terminal users). At this time, the modeler recalculates and calculates that the antenna azimuth angle required to achieve signal coverage for fishing boats at this location under the current sea surface and weather conditions is 10 degrees, the downtilt angle is 1.5 degrees, and the transmission power is 26W. Then, the antenna automatic adjuster can adjust the antenna to achieve the signal strength required by the mobile terminal within the signal range on the sea surface, thereby adjusting the signal-to-noise ratio and other parameters to the optimal level.

[0104] In this embodiment of the invention, by simulating electromagnetic signals in a complex marine environment, the base station parameters are dynamically adjusted to output effective base station signals. Through interaction with the base station signals, high-quality signal output is achieved. Specifically, through big data analysis and modeling, base station parameters are automatically adjusted to provide mobile terminals within the signal range with the highest possible signal strength and signal-to-noise ratio, achieving long-distance coverage over the sea surface. Specifically, a base station spectrum propagation model conforming to the current marine climate is obtained. Based on the current user location information and the initial base station parameters, this model is input to instruct the base station adjustment system to adjust the base station parameters accordingly. Since the base station spectrum propagation model is generated based on the light propagation path from the spectrum to the base station under different marine climate conditions, adjusting the base station parameters under different marine climate conditions automatically adapts to fluctuating sea levels, weather conditions, etc., making it suitable for power adjustment for marine coverage and providing high-quality signal service to users at the edge of the marine signal range. Furthermore, it can adopt a big data interaction method that interacts with mobile phones to establish a precise big data database for accurate sea surface coverage, and establish a big data output model based on the collection of optical systems, marine information, meteorological information, etc., to automatically calculate the base station parameters that need to be adjusted, saving a lot of sea surface testing work.

[0105] It should be noted that, for the sake of simplicity, the method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments of the present invention are not limited to the described order of actions, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions involved are not necessarily essential to the embodiments of the present invention.

[0106] Reference Figure 5 The diagram illustrates a structural block diagram of an embodiment of a base station signal adjustment device according to the present invention, which is applied to a base station adjustment system and may specifically include the following modules:

[0107] The base station spectrum propagation model acquisition module 501 is used to acquire current sea surface climate information and acquire a base station spectrum propagation model that conforms to the current sea surface climate based on the current sea surface climate information; the base station spectrum propagation model is generated based on the spectrum propagation model established according to the light propagation path of the spectrum to the base station under different sea surface climate conditions.

[0108] User location information acquisition module 502 is used to acquire user location information and base station initial parameters for the base station;

[0109] The base station parameter adjustment module 503 is used to obtain base station adjustment parameters based on the user location information, the base station initial parameters, and the base station spectrum propagation model; the base station adjustment parameters are used to instruct the base station adjustment system to make corresponding adjustments to the base station parameters of the base station.

[0110] In one embodiment of the present invention, the base station parameter adjustment module 503 may include the following sub-modules:

[0111] The base station adjustment parameter output submodule is used to input the user location information and the base station initial parameters into the base station spectrum propagation model and output the base station adjustment parameters.

[0112] In one embodiment of the present invention, the base station signal adjustment device proposed in this embodiment may further include the following modules:

[0113] The reporting information receiving module is used to obtain the user's reported information after the base station parameters are adjusted based on the base station adjustment parameters, as well as the expected base station parameters provided by the base station; the reported information includes at least one of signal strength, signal-to-noise ratio, and signal frequency;

[0114] The model fine-tuning module is used to compare the reported information with the expected parameters of the base station, and in response to the difference between the reported information and the expected parameters of the base station, to fine-tune the base station spectrum propagation model that conforms to the current sea surface climate, and to adjust the base station parameters of the base station again using the base station adjustment parameters output by the fine-tuned base station spectrum propagation model.

[0115] In one embodiment of the present invention, the model fine-tuning module may include the following sub-modules:

[0116] The model fine-tuning submodule is used to fine-tune the base station spectrum propagation model that conforms to the current sea surface climate until the base station adjustment parameters output by the fine-tuned base station spectrum propagation model are adjusted, and the user's reported information meets the expected parameters of the base station.

[0117] In one embodiment of the present invention, the base station signal adjustment device proposed in this embodiment may further include the following modules:

[0118] The base station spectrum propagation model generation module is used to generate a base station spectrum propagation model based on the spectrum propagation model established according to the light propagation path of the spectrum to the base station under different sea surface climate conditions.

[0119] In one embodiment of the present invention, the base station spectrum propagation model generation module may include the following sub-modules:

[0120] The light source information acquisition submodule is used to acquire sea surface climate sample information and received light source information representing different time points;

[0121] The spectral propagation model establishment submodule is used to establish a spectral propagation model based on the sea surface climate sample information and the light source information; the spectral propagation model is used to simulate spectral propagation.

[0122] The base station spectrum propagation model establishment submodule is used to obtain the frequency band information of the base station and establish the base station spectrum propagation model based on the frequency band information of the base station and the spectrum propagation model; the base station spectrum propagation model is used to simulate electromagnetic signals.

[0123] In one embodiment of the present invention, the sea surface climate sample information includes meteorological environmental information and marine monitoring information, used to form different sea surface climate conditions; the spectral propagation model establishment submodule may include the following units:

[0124] A light source information analysis unit is used to analyze the light source information to obtain the propagation path of the light rays in the light source signal that propagate to the base station.

[0125] The spectral propagation model establishment unit is used to establish spectral propagation models for different time points and different sea surface climate conditions based on the light propagation path and the corresponding sea surface climate condition information for the different sea surface climate conditions.

[0126] In one embodiment of the present invention, the light propagation path includes direct and reflected light source propagation paths of different spectra to the base station, wherein the light source propagation path is opposite to the emission direction of the base station; the base station spectrum propagation model establishment submodule may include the following units:

[0127] The base station spectrum propagation model establishment unit is used to establish a base station wireless frequency propagation model based on the spectrum propagation model, according to the difference information between the different spectrums and the frequency band information of the base station, as well as the difference information between different frequency band information of the base station.

[0128] In this embodiment of the invention, the base station signal adjustment device obtains a base station spectrum propagation model that conforms to the current sea surface climate. Based on the current user location information and the initial parameters of the base station, the device inputs these parameters into the obtained base station spectrum propagation model to instruct the base station adjustment system to adjust the base station parameters accordingly. Since the base station spectrum propagation model is generated based on the spectral propagation path of light propagating to the base station under different sea surface climate conditions, it automatically adapts to fluctuating sea levels, weather conditions, etc., by adjusting the base station parameters under different sea surface climate conditions. This is suitable for power adjustment of sea surface coverage and provides high-quality signal service for users at the edge of the sea signal.

[0129] As the device embodiment is basically similar to the method embodiment, the description is relatively simple, and relevant parts can be found in the description of the method embodiment.

[0130] This invention also provides an electronic device, comprising:

[0131] It includes a processor, a memory, and a computer program stored in the memory and capable of running on the processor. When the computer program is executed by the processor, it implements the various processes of the above-described base station signal adjustment method embodiments and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0132] This invention also provides a non-volatile computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the various processes of the above-described base station signal adjustment method embodiments and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0133] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0134] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, embodiments of the present invention can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of the present invention can take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0135] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0136] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0137] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal equipment, causing a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0138] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present invention.

[0139] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0140] The foregoing has provided a detailed description of a base station signal adjustment method, a base station signal adjustment device, a corresponding electronic device, and a corresponding non-volatile computer-readable storage medium provided by the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A base station signal adjustment method, characterized in that, The method, applied to a base station adjustment system, includes: Obtain current sea surface climate information, and obtain a base station spectrum propagation model that conforms to the current sea surface climate based on the current sea surface climate information; the base station spectrum propagation model is generated based on the spectrum propagation model established according to the light propagation path of the spectrum to the base station under different sea surface climate conditions; Obtain user location information and initial base station parameters for the base station; Based on the user location information, the base station initial parameters, and the base station spectrum propagation model, base station adjustment parameters are obtained; these base station adjustment parameters are used to instruct the base station adjustment system to make corresponding adjustments to the base station parameters. The step of obtaining base station adjustment parameters based on the user location information, the base station initial parameters, and the base station spectrum propagation model includes: The user location information and the base station initial parameters are input into the base station spectrum propagation model, and the base station adjustment parameters are output. The base station spectrum propagation model is generated as follows: Acquire sea surface climate sample information and received light source information representing different time points; The light source information is analyzed to obtain the light propagation path of the light spectrum in the light source signal to the base station, and a spectral propagation model is established based on the sea surface climate sample information and the light propagation path; the spectral propagation model is used to simulate spectral propagation. The frequency band information of the base station is obtained, and a base station spectrum propagation model is established based on the frequency band information of the base station and the spectrum propagation model; the base station spectrum propagation model is used for electromagnetic signal simulation. The light propagation path includes direct and reflected light source propagation paths of different spectra to the base station, wherein the light source propagation path is opposite to the emission direction of the base station; the step of establishing a base station spectrum propagation model based on the frequency band information of the base station and the spectrum propagation model includes: Based on the differences between the different spectra and the frequency band information of the base station, as well as the differences between the different frequency band information of the base station, a base station wireless frequency propagation model is established on the basis of the spectral propagation model.

2. The method according to claim 1, characterized in that, The method further includes: After adjusting the base station parameters based on the base station adjustment parameters, the user's reported information after the base station parameter adjustment and the base station's expected parameters provided by the base station are obtained; the reported information includes at least one of signal strength, signal-to-noise ratio, and signal frequency; The reported information is compared with the expected parameters of the base station. In response to the difference between the reported information and the expected parameters of the base station, the base station spectrum propagation model that conforms to the current sea surface climate is fine-tuned. The base station adjustment parameters output by the fine-tuned base station spectrum propagation model are then used to adjust the base station parameters of the base station again.

3. The method according to claim 2, characterized in that, The fine-tuning operation of the base station spectrum propagation model that conforms to the current sea surface climate includes: The base station spectrum propagation model that conforms to the current sea surface climate is fine-tuned until the base station adjustment parameters output by the fine-tuned base station spectrum propagation model are adjusted, and the user's reported information meets the expected parameters of the base station.

4. The method according to claim 1, characterized in that, The sea surface climate sample information includes meteorological environmental information and marine monitoring information, used to form different sea surface climate conditions; the step of establishing a spectral propagation model based on the sea surface climate sample information and the light propagation path includes: Based on the light propagation path and the corresponding sea surface climate information for different sea surface climate conditions, a spectral propagation model is established for different time points and different sea surface climate conditions.

5. A base station signal adjustment device, characterized in that, The device, used in a base station adjustment system, includes: The base station spectrum propagation model acquisition module is used to acquire current sea surface climate information and acquire a base station spectrum propagation model that conforms to the current sea surface climate based on the current sea surface climate information; the base station spectrum propagation model is generated based on the spectrum propagation model established according to the light propagation path of the spectrum to the base station under different sea surface climate conditions; The user location information acquisition module is used to acquire user location information and base station initial parameters for the base station; The base station parameter adjustment module is used to obtain base station adjustment parameters based on the user location information, the base station initial parameters, and the base station spectrum propagation model; the base station adjustment parameters are used to instruct the base station adjustment system to adjust the base station parameters of the base station accordingly. The base station parameter adjustment module includes the following sub-modules: The base station adjustment parameter output submodule is used to input the user location information and the base station initial parameters into the base station spectrum propagation model and output the base station adjustment parameters. The base station spectrum propagation model generation module includes the following sub-modules: The light source information acquisition submodule is used to acquire sea surface climate sample information and received light source information representing different time points; The spectral propagation model establishment submodule is used to analyze the light source information, obtain the light propagation path of the light spectrum in the light source signal to the base station, and establish a spectral propagation model based on the sea surface climate sample information and the light propagation path; the spectral propagation model is used to simulate spectral propagation. The base station spectrum propagation model establishment submodule is used to acquire the frequency band information of the base station and establish a base station spectrum propagation model based on the frequency band information and the spectrum propagation model; the base station spectrum propagation model is used for electromagnetic signal simulation. The light propagation path includes direct and reflected light source propagation paths of different spectra to the base station, wherein the light source propagation path is opposite to the emission direction of the base station; the base station spectrum propagation model establishment submodule includes the following units: The base station spectrum propagation model establishment unit is used to establish a base station wireless frequency propagation model based on the spectrum propagation model, according to the difference information between the different spectrums and the frequency band information of the base station, as well as the difference information between different frequency band information of the base station.

6. An electronic device, characterized in that, include: A processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the base station signal adjustment method as described in any one of claims 1 to 4.

7. A non-volatile computer-readable storage medium, characterized in that, A computer program is stored on the non-volatile computer-readable storage medium, which, when executed by a processor, implements the base station signal adjustment method as described in any one of claims 1 to 4.

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