Beam interference adjustment method and device, network equipment and storage medium

Abstract

The invention discloses a beam interference adjustment method and device, network equipment and a storage medium. The method comprises the following steps: acquiring beam level information of at least one public network cell; performing interference coordination between the public network cell and at least one private network cell based on the beam level information to obtain a beam interference level of a target public network cell related to a target private network cell in the at least one private network cell to the target private network cell; and determining an interference adjustment strategy of the target public network cell based on the beam interference level.

Description

Technical Field

[0001] This application relates to the field of wireless network technologies, and in particular, to a beam interference adjustment method, apparatus, network device, and storage medium. Background Art

[0002] When a high-speed train passes by, power reduction measures are taken for the entire public network cell to reduce interference, resulting in the contraction of the public network coverage and obvious negative impacts on the perception of edge users. However, not all users in the public network area will interfere with the private network cell during service scheduling. Generally, only some beam directions close to the track direction will affect the private network. Moreover, when the distribution of public network users and the service load level are different, the degree of influence on the private network is also different. There is a problem of how to ensure the experience of public network users while reducing interference. For this problem, there is currently no effective solution. Summary of the Invention

[0003] To solve the related technical problems, embodiments of this application provide a beam interference adjustment method, apparatus, network device, and storage medium.

[0004] The technical solution of the embodiments of this application is implemented as follows:

[0005] Embodiments of this application provide a beam interference adjustment method, including:

[0006] Obtain beam-level information of at least one public network cell;

[0007] Based on the beam-level information, perform interference coordination between the public network cell and at least one private network cell to obtain the beam interference level of the target public network cell related to the target private network cell in the at least one private network cell on the target private network cell;

[0008] Based on the beam interference level, determine the interference adjustment strategy of the target public network cell.

[0009] In the above solution, based on the beam-level information, performing interference coordination between the public network cell and at least one private network cell to obtain the beam interference level of the target public network cell related to the target private network cell in the at least one private network cell on the target private network cell includes:

[0010] Obtain the measurement information of the at least one private network cell;

[0011] Before the target train enters the target private network cell, based on the beam-level information and the measurement information, predict the beam interference level of the target public network cell on the target private network cell.

[0012] In the above solution, the beam-level information includes at least one of the following:

[0013] The service load information of the public network cell;

[0014] The beam-level user distribution information of the public network cell;

[0015] The topological structure information of the public network cell.

[0016] In the above solution, the measurement information includes at least one of the following:

[0017] The measurement report of the private network cell;

[0018] The transmission rate of the private network cell.

[0019] In the above solution, when the measurement information includes the transmission rate of each private network cell, the method further includes:

[0020] Evaluating the stability of the transmission rate to obtain an evaluation result;

[0021] Determining the influence degree information of the public network cell on the private network cell based on the evaluation result.

[0022] In the above solution, the predicting the beam interference level of the target public network cell on the target private network cell based on the beam-level information and the measurement information includes:

[0023] Constructing an interference model of the public network cell on the private network cell based on the beam-level information, the measurement information, and the influence degree information;

[0024] Predicting the beam interference level of the target public network cell on the target private network cell according to the interference model.

[0025] In the above solution, the constructing an interference model of the public network cell on the private network cell based on the beam-level information, the measurement information, and the influence degree information includes:

[0026] Taking the beam-level information and the measurement information as the input of the initial model and taking the influence degree information as the output of the initial model, and training the initial model to obtain the interference model; the initial model includes an Artificial Intelligence (AI) algorithm.

[0027] In the above solution, the method further includes:

[0028] Obtaining the interference warning information that the target train will enter the target private network cell;

[0029] Obtaining the target service load information and the target beam-level user distribution information of the target public network cell based on the interference warning information;

[0030] Input the target service load information and the target beam-level user distribution information into the interference model for prediction to obtain the beam interference level of the target public network cell with respect to the target private network cell related to the target private network cell.

[0031] In the above solution, the beam interference level includes one of the following:

[0032] The first level indicating that the target private network cell is not interfered by the target public network;

[0033] The second level indicating that the target private network cell is interfered by the target public network but the influence range is small;

[0034] The third level indicating that the target private network cell is interfered by the target public network but the influence range is large;

[0035] The fourth level indicating that the target private network cell is severely interfered by the target public network;

[0036] The fifth level indicating that the target private network cell is severely interfered by the target public network.

[0037] In the above solution, determining the interference adjustment strategy for the target public network cell based on the beam interference level includes:

[0038] When the beam interference level is the first level, determine that the interference adjustment strategy is not to take measures against the target public network cell;

[0039] When the beam interference level is the second level, determine that the interference adjustment strategy is to limit the service scheduling resources in the target beam direction corresponding to the target public network cell and stagger the scheduling area from the target private network cell;

[0040] When the beam interference level is the third level, determine that the interference adjustment strategy is to limit the service scheduling resources and transmit power in the target beam direction corresponding to the target public network cell;

[0041] When the beam interference level is the fourth level, determine that the interference adjustment strategy is to perform load balancing on the target beam direction corresponding to the target public network cell, migrate the users satisfying the load balancing to other beams, and limit the scheduling resources and transmit power for the users not satisfying the load balancing;

[0042] When the beam interference level is the fifth level, determine that the interference adjustment strategy is to perform user migration on the target beam direction corresponding to the target public network cell and suspend the transmission of public signals and service signals in the target beam direction.

[0043] In the above solution, the method further includes:

[0044] Monitoring whether the target train has left the target private network cell;

[0045] When the target train leaves the target private network cell, starting a fallback of the target public network cell to execute the interference adjustment strategy.

[0046] In the above solution, the method further includes:

[0047] After the target public network cell executes the interference adjustment strategy, obtaining the transmission rate of the private network cell;

[0048] Evaluating the stability of the obtained transmission rate of the private network cell to obtain an evaluation result;

[0049] When the evaluation result indicates that the stability of the transmission rate of the private network cell is less than a preset threshold, determining to update the interference model.

[0050] In the above solution, the method further includes:

[0051] Monitoring whether the environment of the public network cell and / or the private network cell has changed;

[0052] When the environment of the public network cell and / or the private network cell has changed, determining to update the interference model.

[0053] An embodiment of the present application further provides a beam interference adjustment device, including:

[0054] An acquisition unit, configured to acquire beam-level information of at least one public network cell;

[0055] An interference coordination unit, configured to perform interference coordination between the public network cell and at least one private network cell based on the beam-level information, and obtain a beam interference level of a target public network cell for a target private network cell related to the at least one private network cell;

[0056] A determination unit, configured to determine an interference adjustment strategy of the target public network cell based on the beam interference level.

[0057] An embodiment of the present application further provides a network device, including:

[0058] A memory, configured to store executable instructions;

[0059] A processor, configured to implement any step of the above method when executing the executable instructions stored in the memory.

[0060] An embodiment of the present application also provides a computer-readable storage medium storing executable instructions, which are used to implement any step of the above-mentioned method when executed by a processor.

[0061] The beam interference adjustment method, device, network device and storage medium provided by the embodiments of the present application, wherein the method includes: obtaining beam-level information of at least one public network cell; performing interference coordination between the public network cell and at least one private network cell based on the beam-level information to obtain a beam interference level of a target public network cell related to a target private network cell in the at least one private network cell with respect to the target private network cell; determining an interference adjustment strategy for the target public network cell based on the beam interference level. The solution of the embodiments of the present application, by performing interference coordination between a public network cell and at least one private network cell based on the beam-level information of at least one public network cell, obtains a beam interference level of a target public network cell related to a target private network cell in the at least one private network cell with respect to the target private network cell; determines an interference adjustment strategy for the target public network cell based on the beam interference level, that is, the present application adopts a refined and dynamic interference prediction and avoidance solution, predicts the influence degree according to the real-time situation, and executes a beam-level interference avoidance strategy, which can ensure the experience of public network users while reducing interference. Description of the Drawings

[0062] Figure 1 Schematic diagram for reducing the power of the entire public network cell when a high-speed train passes by;

[0063] Figure 2 Schematic diagram of a beam interference adjustment method provided by an embodiment of the present application;

[0064] Figure 3 Schematic diagram of the process of a prediction-based interference early warning mechanism;

[0065] Figure 4 Schematic diagram of the process of interference model construction in an embodiment of the present application;

[0066] Figure 5 Schematic diagram of the process of interference model construction in an embodiment of the present application;

[0067] Figure 6 Schematic diagram of the process of the OMC issuing an IE in an embodiment of the present application;

[0068] Figure 7 Schematic diagram of interference early warning in an embodiment of the present application;

[0069] Figure 8 Schematic diagram of a beam interference adjustment device in an embodiment of the present application;

[0070] Figure 9 Schematic diagram of a hardware entity structure of a network device in an embodiment of the present application. Detailed implementation manners

[0071] The present application will be further described in detail below with reference to the accompanying drawings and embodiments.

[0072] The current 5th Generation Mobile Communication Technology New Radio (5G NR) high-speed rail network mainly adopts a construction strategy dedicated to private networks. Due to limited spectrum resources, the same-frequency networking strategy is often adopted for the deployment of high-speed rail private networks and public networks along high-speed rail lines. In densely populated areas such as urban areas and developed rural areas, the interference between public and private networks is serious, resulting in the disconnection of private network users and an increase in the call drop rate.

[0073] To solve the problem of serious co-frequency interference between public and private network cells along high-speed rails, which leads to a decline in user experience, the existing solutions mainly adopt the cell-level power reduction scheme, that is, reducing the power of the entire public network cell when a high-speed rail train passes by to avoid interference. It can be understood in combination with Figure 1 For understanding. Figure 1 Fig. is a schematic diagram for reducing the power of the entire public network cell when a high-speed rail train passes by.

[0074] The implementation method of the current solution is mainly to take measures to reduce the power of the entire public network cell when a high-speed rail train passes by to reduce interference. The public network coverage shrinks, and the negative impact on the perception of edge users is obvious. However, not all users in the public network area will interfere with the private network cell during service scheduling. Generally, only some beam directions close to the track direction will affect the private network, and when the distribution of public network users and the service load level are different, the degree of influence on the private network is also different. Therefore, a refined and dynamic interference prediction and avoidance scheme is needed to predict the degree of influence according to the real-time situation and execute the beam-level interference avoidance strategy to ensure the user experience of the public network while reducing interference.

[0075] Based on this, the present application establishes an interference warning mechanism through beam-level interference identification and the definition of interference influence degree, which can predict the interference degree according to the real-time situation of the public network; and the corresponding relationship between different degrees of interference and strategy types, flexibly select the interference avoidance type, maximize the guarantee of the user performance of the public network while reducing the public-private interference, and achieve two-way guarantee.

[0076] The embodiment of the present application provides a beam interference adjustment method, which is applied to a network device. The functions implemented by this method can be realized by a processor in the network device calling program code. Of course, the program code can be stored in a computer storage medium. It can be seen that the network device at least includes a processor and a storage medium. As an example, the network device can be a base station or the like.

[0077] Figure 2The figure is a schematic diagram of the process of a beam interference adjustment method provided by an embodiment of the present application; as Figure 2 shown, the method includes:

[0078] Step 201: Obtain beam-level information of at least one public network cell;

[0079] Step 202: Based on the beam-level information, perform interference coordination between the public network cell and at least one private network cell to obtain the beam interference level of the target public network cell related to the target private network cell in the at least one private network cell with respect to the target private network cell;

[0080] Step 203: Determine an interference adjustment strategy for the target public network cell based on the beam interference level.

[0081] In step 201, obtain beam-level information of at least one public network cell; the specific number of the at least one public network cell can be determined according to actual situations and is not limited herein. The beam-level information can be determined according to actual situations and is not limited herein. As an example, the beam-level information may include at least one of the following: the service load information of the public network cell; the beam-level user distribution information of the public network cell; the topological structure information of the public network cell. For example, the beam-level information may include service load, beam-level user distribution information, etc. In practical applications, obtaining the beam-level data information of the public network cell includes service load, beam-level user distribution information (this part is new data collection content, and the purpose is to provide relevant data support for subsequent beam interference identification).

[0082] In step 202, interference coordination is performed between the public network cell and at least one private network cell based on the beam-level information to obtain the beam interference level of the target public network cell related to the target private network cell in the at least one private network cell for the target private network cell. The specific process of interference coordination can be determined according to the actual situation and is not limited herein. As an example, the interference coordination between the public network cell and at least one private network cell based on the beam-level information to obtain the beam interference level of the target public network cell related to the target private network cell in the at least one private network cell for the target private network cell may include obtaining the measurement information of the at least one private network cell; before the target train enters the target private network cell, predicting the beam interference level of the target public network cell for the target private network cell based on the beam-level information and the measurement information. Among them, the beam interference level can be determined according to the actual situation and is not limited herein. As an example, the beam interference level includes one of the following: a first level indicating that the target private network cell is not interfered by the target public network; a second level indicating that the target private network cell is interfered by the target public network, but the influence range is small; a third level indicating that the target private network cell is interfered by the target public network, but the influence range is large; a fourth level indicating that the target private network cell is severely interfered by the target public network; a fifth level indicating that the target private network cell is severely interfered by the target public network.

[0083] In step 203, the specific determination process of determining the interference adjustment strategy of the target public network cell based on the beam interference level can be determined according to the actual situation and is not limited herein. As an example, the determination of the interference adjustment strategy of the target public network cell based on the beam interference level may include, when the beam interference level is the first level, determining that no measures are taken for the target public network cell; when the beam interference level is the second level, determining that the interference adjustment strategy is to limit the service scheduling resources in the target beam direction corresponding to the target public network cell and stagger the scheduling area from the target private network cell; when the beam interference level is the third level, determining that the interference adjustment strategy is to limit the service scheduling resources and the transmission power in the target beam direction corresponding to the target public network cell; when the beam interference level is the fourth level, determining that the interference adjustment strategy is to perform load balancing on the target beam direction corresponding to the target public network cell, migrate the users meeting the load balancing to other beams, and limit the scheduling resources and the transmission power for the users not meeting the load balancing; when the beam interference level is the fifth level, determining that the interference adjustment strategy is to perform user migration on the target beam direction corresponding to the target public network cell and suspend the transmission of the public signal and the service signal in the target beam direction.

[0084] In the solution of the embodiment of the present application, interference coordination between a public network cell and at least one private network cell is performed based on beam-level information of at least one public network cell, and a beam interference level of a target public network cell related to a target private network cell in the at least one private network cell on the target private network cell is obtained; an interference adjustment strategy of the target public network cell is determined based on the beam interference level, that is, the present application adopts a refined and dynamic interference prediction and avoidance solution, predicts the influence degree according to the real-time situation, and executes a beam-level interference avoidance strategy, while reducing interference, ensuring the experience of public network users.

[0085] In one embodiment, the interference coordination between the public network cell and at least one private network cell based on the beam-level information to obtain the beam interference level of the target public network cell related to the target private network cell in the at least one private network cell on the target private network cell includes:

[0086] Obtain measurement information of the at least one private network cell;

[0087] Before the target train enters the target private network cell, predict the beam interference level of the target public network cell on the target private network cell based on the beam-level information and the measurement information.

[0088] In this embodiment, the specific number of the at least one private network cell can be determined according to the actual situation and is not limited herein. The measurement information can be determined according to the actual situation and is not limited herein. As an example, the measurement information may include at least one of the following: a measurement report of the private network cell; a transmission rate of the private network cell. For example, the measurement information may include a user measurement report, an average uplink and downlink transmission rate, etc. In practical applications, obtain user measurement reports and average uplink and downlink transmission rates of private network cells along high-speed railways.

[0089] Before the target train enters the target private network cell, predict the beam interference level of the target public network cell on the target private network cell based on the beam-level information and the measurement information. Herein, the target train can be determined according to actual circumstances and is not limited herein. As an example, the target train can be understood as a section train; the target private network cell can be determined according to actual circumstances and is not limited herein. As an example, the target private network cell can be understood as the private network cell that the section train enters. The specific prediction process of predicting the beam interference level of the target public network cell on the target private network cell based on the beam-level information and the measurement information can be determined according to actual circumstances and is not limited herein. As an example, predicting the beam interference level of the target public network cell on the target private network cell based on the beam-level information and the measurement information can include constructing an interference model of the public network cell on the private network cell based on the beam-level information, the measurement information, and the influence degree information of the public network cell on the private network cell; predicting the beam interference level of the target public network cell on the target private network cell according to the interference model.

[0090] In one embodiment, the beam-level information includes at least one of the following:

[0091] The traffic load information of the public network cell;

[0092] The beam-level user distribution information of the public network cell;

[0093] The topology structure information of the public network cell.

[0094] In this embodiment, the traffic load information of the public network cell; in practical applications, the traffic load information can be abbreviated as traffic load; the beam-level user distribution information of the public network cell; wherein, the beam-level user distribution information can be understood as newly added data collection content, and the purpose is to provide relevant data support for subsequent beam interference identification. The topology structure information of the public network cell can be determined according to actual circumstances and is not limited herein.

[0095] In practical applications, the beam-level information can be called beam-level data information. The base station performs basic data collection and reporting according to the specified time period T (the value of T can be dynamically set as needed), and the network management side performs storage and data cleaning. The data includes the beam-level data information of the public network cell, and the beam-level data information of the public network cell includes traffic load and beam-level user distribution information (this part is newly added data collection content, and the purpose is to provide relevant data support for subsequent beam interference identification).

[0096] In one embodiment, the measurement information includes at least one of the following:

[0097] The measurement report of the private network cell;

[0098] The transmission rate of the private network cell.

[0099] In this embodiment, the measurement report of the private network cell; wherein, the measurement report can be determined according to the actual situation and is not limited herein. As an example, the measurement report can be a user measurement report. The transmission rate of the private network cell; wherein, the transmission rate can be determined according to the actual situation and is not limited herein. As an example, the transmission rate can be the average uplink and downlink transmission rate.

[0100] In practical applications, the base station performs basic data collection and reporting according to a specified time period T (the value of T can be dynamically set as needed), and the network management side stores and cleans the data. The data includes the user measurement reports and the average uplink and downlink transmission rates of the private network cells along the high-speed railway.

[0101] In one embodiment, when the measurement information includes the transmission rate of each private network cell, the method further includes:

[0102] Evaluating the stability of the transmission rate to obtain an evaluation result;

[0103] Determining the influence degree information of the public network cell on the private network cell based on the evaluation result.

[0104] In this embodiment, the evaluating the stability of the transmission rate to obtain an evaluation result can be to evaluate through the stability calculation principle of the transmission rate to obtain an evaluation result. Among them, the stability calculation principle of the transmission rate can be determined according to the actual situation and is not limited herein. As an example, the stability calculation principle of the transmission rate can be to calculate the average value or mean square error of the changes between sampling points within a certain time period, and judge the degree of rate stability through the change situation. The evaluating the stability of the transmission rate to obtain an evaluation result can be to evaluate the stability of the transmission rate to obtain the evaluation result of the transmission rate level change rate. For ease of understanding, as an example: Select the user transmission rates of each private network cell during the vehicle passing time of this section for sampling analysis to determine the transmission rate level change rate of the cell users. This content can refer to formula (1)

[0105]

[0106] In formula (1), R vary is the transmission rate change rate of this cell, is the transmission rate of the (n + 1)-th sampling point, is the transmission rate of the n-th sampling point, and N is the total number of sampling points.

[0107] The specific determination process for determining the influence degree information of the public network cell on the private network cell based on the evaluation result can be determined according to the actual situation and is not limited herein. As an example, the influence degree information of the public network cell on the private network cell determined based on the evaluation result can be that the evaluation result of the transmission rate level change rate is used to judge the level of rate stability through a set threshold, which respectively represents the influence degree information of the public network cell on the private network cell. In practical applications, the level of rate stability is judged through a set threshold, which respectively represents the magnitude of the influence of the public network on the private network. For example, the stability level is A, and the load level change rate is R vary <δ1, and the interference influence degree is low; the stability level is B, and the load level change rate is δ1 < R vary <δ2, and the interference influence degree is medium; the stability level is C, and the load level change rate is δ2 < R vary , and the interference influence degree is high.

[0108] In one embodiment, predicting the beam interference level of the target public network cell on the target private network cell based on the beam-level information and the measurement information includes:

[0109] Constructing an interference model of the public network cell on the private network cell based on the beam-level information, the measurement information, and the influence degree information;

[0110] Predicting the beam interference level of the target public network cell on the target private network cell according to the interference model.

[0111] In this embodiment, the specific construction process for constructing the interference model of the public network cell on the private network cell based on the beam-level information, the measurement information, and the influence degree information can be determined according to the actual situation and is not limited herein. As an example, constructing the interference model of the public network cell on the private network cell based on the beam-level information, the measurement information, and the influence degree information can include using the beam-level information and the measurement information as the input of the initial model and using the influence degree information as the output of the initial model, and training the initial model to obtain the interference model; the initial model includes an AI algorithm.

[0112] The specific prediction process for predicting the beam interference level of the target public network cell on the target private network cell according to the interference model can be determined according to the actual situation and is not limited herein. In practical applications, since the interference degrees of different beams of the public network on the public network are different under different service load levels and different user distributions, after the public network cell receives the interference warning information, it extracts the service load and user distribution information in the direction of each beam in real time and inputs them into the model to output the predicted interference level.

[0113] In one embodiment, constructing the interference model of the public network cell on the private network cell based on the beam-level information, the measurement information, and the influence degree information includes:

[0114] Taking the beam-level information and the measurement information as the input of the initial model and the influence degree information as the output of the initial model, training the initial model to obtain the interference model; the initial model includes an AI algorithm.

[0115] Among them, the beam-level information may include at least one of the following: the service load information of the public network cell; the beam-level user distribution information of the public network cell; the topological structure information of the public network cell. The service load information, the beam-level user distribution information, and the topological structure information can be determined according to the actual situation and are not limited here. As an example, the service load information may include the beam service load of the public network cell; the beam-level user distribution information may include the beam user distribution of the public network cell; the topological structure information may include the topological structure of the public network cell.

[0116] The measurement information may include at least one of the following: the measurement report of the private network cell; the transmission rate of the private network cell. The measurement report of the private network cell and the transmission rate of the private network cell can be determined according to the actual situation and are not limited here. As an example, the measurement report of the private network cell may include the user measurement report of the private network cell; the transmission rate of the private network cell may include the rate change rate of the private network cell.

[0117] In practical applications, at the cell level, the rate change rate is calculated based on the rate of the private network cell. A set of eigenvalues is constructed based on the neighbor cell relationship between the public and private network cells, the rate change rate, the user measurement report of the private network cell (including interference beam information), the beam service load of the public network cell, and the beam user distribution of the public network cell. Then, after the network management platform obtains the association model and association function between the input eigenvalues through algorithm training, the influence level of each beam direction of the public network cell on the private network cell under different service loads and different user distributions is obtained. Definition of interference level: In this application, the interference level of each beam is defined as 5 levels. Interference level 1 indicates a relatively low interference degree, the influence degree of the private network being interfered is relatively small, and it can basically be tolerated; interference level 2 indicates a medium-low interference degree, the private network is interfered by the public network, but the influence range is small, and simple measures can be taken to avoid interference; interference level 3 indicates a medium interference degree, the private network is interfered, and the influence range is further expanded, and corresponding measures need to be taken to avoid interference; interference level 4 indicates a medium-high interference degree, the private network is interfered to a greater extent, and measures must be taken to avoid it; interference level 5 indicates a high interference degree, the private network is severely affected by the public network, and the public network needs to make the greatest degree of avoidance.

[0118] The AI algorithm constructs an interference model for illustrative purposes. Model training: Based on the topological structure of public and private network cells along a certain section of the line, each group of public and private network neighboring cells is divided into a small group, and the multi-dimensional basic information of the public and private network cells within the group is used as a certain eigenvalue of the input layer as a whole, and the output layer is the interference level division. Then, through this model, the fitting function between the training input and output can be obtained, and the weight matrices v1 and v2 can be obtained. Model input: The neighboring cell relationship, rate change rate, user measurement report, traffic load, and user distribution information of each small group within the grid where i = 1, 2,..., N, and N is the number of small groups on this section of the road. Model output: Interference level. After training, the parameters (V1, V2) of this model and the fitting function are obtained.

[0119] In one embodiment, the method further includes:

[0120] Obtaining interference warning information that the target train will enter the target private network cell;

[0121] Based on the interference warning information, obtaining the target traffic load information and target beam-level user distribution information of the target public network cell;

[0122] Inputting the target traffic load information and target beam-level user distribution information into the interference model for prediction, and obtaining the beam interference level of the target public network cell related to the target private network cell for the target private network cell.

[0123] In this embodiment, obtaining interference warning information that the target train will enter the target private network cell; among them, the interference warning information can be determined according to the actual situation and is not limited here. As an example, the interference warning information can be interference warning notification information; the interference warning notification information can include the train moving speed, train entry information, etc. The interference warning notification information can be represented by a transmission IE; the transmission IE can include an IE Name of Message Type, and the corresponding Semantics description indicates the message type; the IE Name is VehicleWarning, and the corresponding Semantics description indicates the train entry warning; the IE Name is Speed(0 - 500), and the corresponding Semantics description indicates the train running speed.

[0124] Based on the interference warning information, obtaining the target traffic load information and target beam-level user distribution information of the target public network cell; among them, the target traffic load information and target beam-level user distribution information of the target public network cell can be determined according to the actual situation and are not limited here.

[0125] Input the target service load information and the target beam-level user distribution information into the interference model for prediction to obtain the beam interference level of the target public network cell on the target private network cell related to the target private network cell; wherein, the beam interference level can be determined according to the actual situation and is not limited herein. As an example, the beam interference level can include one of the following: a first level indicating that the target private network cell is not interfered by the target public network; a second level indicating that the target private network cell is interfered by the target public network but the influence range is small; a third level indicating that the target private network cell is interfered by the target public network but the influence range is large; a fourth level indicating that the target private network cell is interfered by the target public network to a large extent; a fifth level indicating that the target private network cell is interfered by the target public network severely.

[0126] In practical applications, the high-speed rail network has a linear networking relationship. The previous cell of the private network calculates the train speed and the entry information through information such as the frequency offset of users in the cell and the historical cell ID, and notifies this message to the subsequent private network cells. The notification message includes the train moving speed and the train entry information.

[0127] In one embodiment, the beam interference level includes one of the following:

[0128] A first level indicating that the target private network cell is not interfered by the target public network;

[0129] A second level indicating that the target private network cell is interfered by the target public network but the influence range is small;

[0130] A third level indicating that the target private network cell is interfered by the target public network but the influence range is large;

[0131] A fourth level indicating that the target private network cell is interfered by the target public network to a large extent;

[0132] A fifth level indicating that the target private network cell is interfered by the target public network severely.

[0133] In this embodiment, a first level indicating that the target private network cell is not interfered by the target public network; wherein, the first level can be understood as the beam interference level being level 1. In practical applications, interference level 1 indicates a relatively low interference degree, and the influence degree of the private network being interfered is relatively small and can be basically tolerated.

[0134] A second level indicating that the target private network cell is interfered by the target public network but the influence range is small; wherein, the second level can be understood as the beam interference level being level 2. In practical applications, interference level 2 indicates a medium-low interference degree. The private network is interfered by the public network, but the influence range is small, and simple measures can be taken to avoid interference.

[0135] The third level characterizes that the target private network cell is interfered by the target public network, but the influence range is large; among them, the third level can be understood as the beam interference level is 3. In practical applications, interference level 3 indicates medium interference. The private network is interfered, and the influence range is further expanded, and corresponding measures need to be taken to avoid interference.

[0136] The fourth level characterizes that the target private network cell is severely interfered by the target public network; among them, the fourth level can be understood as the beam interference level is 4. In practical applications, interference level 4 indicates medium to high interference. The private network is severely interfered, and measures must be taken to avoid it.

[0137] The fifth level characterizes that the target private network cell is severely interfered by the target public network; among them, the fifth level can be understood as the beam interference level is 5. In practical applications, interference level 5 indicates high interference. The private network is severely affected by the public network, and the public network needs to make the maximum avoidance.

[0138] In one embodiment, determining the interference adjustment strategy for the target public network cell based on the beam interference level includes:

[0139] When the beam interference level is the first level, it is determined that the interference adjustment strategy is not to take measures against the target public network cell;

[0140] When the beam interference level is the second level, it is determined that the interference adjustment strategy is to limit the service scheduling resources in the target beam direction corresponding to the target public network cell and stagger the scheduling area from the target private network cell;

[0141] When the beam interference level is the third level, it is determined that the interference adjustment strategy is to limit the service scheduling resources and transmit power in the target beam direction corresponding to the target public network cell;

[0142] When the beam interference level is the fourth level, it is determined that the interference adjustment strategy is to perform load balancing on the target beam direction corresponding to the target public network cell, migrate the users meeting the load balancing to other beams, and limit the scheduling resources and transmit power for the users not meeting the load balancing;

[0143] When the beam interference level is the fifth level, it is determined that the interference adjustment strategy is to perform user migration on the target beam direction corresponding to the target public network cell and suspend the transmission of public signals and service signals in the target beam direction.

[0144] In this embodiment, when the beam interference level is the first level, it is determined that the interference adjustment strategy is to take no measures for the target public network cell; wherein, the interference adjustment strategy of taking no measures for the target public network cell can be understood as not adopting relevant interference avoidance strategies for the public network service channel. In practical applications, when the beam interference level is level 1, the private network is basically not affected, the service load in the beam direction of the public network cell is low, and the number of users is small. The public network service channel does not adopt relevant interference avoidance strategies, and the common channel and the private network cell are scheduled with staggered frequencies.

[0145] When the beam interference level is the second level, it is determined that the interference adjustment strategy is to limit the service scheduling resources in the target beam direction corresponding to the target public network cell and stagger the scheduling area from the target private network cell; wherein, both the service scheduling resources and the scheduling area can be determined according to the actual situation and are not limited herein. As an example, the service scheduling resources can be scheduling resource block (RB) resources; the scheduling area can be the RB resource scheduling area. In practical applications, when the beam interference level is level 2, the public network cell restricts the scheduling of RB resources when performing service channel user scheduling in this beam direction, staggers from the RB resource scheduling area of the private network cell, and performs interference avoidance. The common channel and the private network cell are scheduled with staggered frequencies.

[0146] When the beam interference level is the third level, it is determined that the interference adjustment strategy is to limit the service scheduling resources and the transmission power in the target beam direction corresponding to the target public network cell; wherein, both the service scheduling resources and the transmission power can be determined according to the actual situation and are not limited herein. As an example, the service scheduling resources can be RB resources; the transmission power can be to limit the transmission power during user service transmission, and the power range is reduced by 30%-50%. The common channel and the private network are scheduled with staggered frequencies, and the signal transmission power is reduced by 30%-50%. In practical applications, when the beam interference level is level 3, first, the public network cell restricts the scheduling of RB resources when performing service user scheduling in this beam direction, and second, it restricts the transmission power during user service transmission in this direction, and the power range is reduced by 30%-50%. The common channel and the private network are scheduled with staggered frequencies, and the signal transmission power is reduced by 30%-50%.

[0147] When the beam interference level is the fourth level, determine that the interference adjustment strategy is to perform load balancing on the target beam direction corresponding to the target public network cell, migrate the users meeting the load balancing to other beams, and restrict the scheduling resources and transmission power of the users not meeting the load balancing; wherein, the migration of the users meeting the load balancing to other beams can be understood as maximizing the scheduling of the users meeting the load balancing condition to other beams; the restriction of the scheduling resources and transmission power of the users not meeting the load balancing can be understood as adopting the method of restricting the scheduling RB resources and restricting the transmission power for the remaining users not meeting the load balancing condition, and the power range is reduced by 50 - 70%. In practical applications, when the beam interference level is level 4, first, the public network cell performs load balancing on this beam direction, and maximizes the scheduling of the users meeting the load balancing condition to other beams; second, for the remaining users not meeting the load balancing condition, adopt the method of restricting the scheduling RB resources and restricting the transmission power, and the power range is reduced by 50 - 70%. The common channel and the private network are scheduled with staggered frequencies, and the signal transmission power is reduced by 50 - 70%.

[0148] When the beam interference level is the fifth level, determine that the interference adjustment strategy is to perform user migration on the target beam direction corresponding to the target public network cell and suspend the transmission of the public signal and service signal in the target beam direction. Wherein, the user migration on the target beam direction corresponding to the target public network cell can be understood as performing user migration on this beam of the public network cell and scheduling and migrating all the users meeting the conditions to other beam directions; the suspension of the transmission of the public signal and service signal in the target beam direction can be understood as suspending the transmission of the public signal and service signal in this beam direction. In practical applications, when the beam interference level is level 5, perform user migration on this beam of the public network cell, schedule and migrate all the users meeting the conditions to other beam directions, and then suspend the transmission of the public signal and service signal in this beam direction.

[0149] In one embodiment, the method further includes:

[0150] Monitor whether the target train has exited the target private network cell;

[0151] When the target train has exited the target private network cell, start the rollback of the interference adjustment strategy executed by the target public network cell.

[0152] In this embodiment, the target train can be denoted as the train; the way of fallback can be determined according to the actual situation and is not limited herein. As an example, the way of fallback can include monitoring the departure of the private network cell vehicle, informing the public network cell to perform interference strategy fallback, the interference warning time received, predicting the interference duration based on the train entry speed, setting a policy execution time window, and automatically performing policy fallback when the time threshold is reached, etc.

[0153] In practical applications, after the train departs, the public network cell can perform interference strategy fallback. This application exemplifies two fallback methods, specifically as follows: Method 1: The private network cell monitors the departure of the vehicle and informs the public network cell to perform interference strategy fallback, including IE; the IE Name of the IE is Message Type, and the corresponding Semantics description indicates the message type; the IE Name of the IE is Cell ID, and the corresponding Semantics description indicates the current private network cell ID; the IE Name of the IE is Interference Warning Cancellation, and the corresponding Semantics description indicates the cancellation of the interference warning. Method 2: The public network cell predicts the interference duration based on the interference warning time received in step five and the train entry speed, sets a policy execution time window, and automatically performs policy fallback when the time threshold is reached.

[0154] In one embodiment, the method further includes:

[0155] After the target public network cell executes the interference adjustment policy, obtain the transmission rate of the private network cell;

[0156] Evaluate the stability of the obtained transmission rate of the private network cell to obtain an evaluation result;

[0157] In the case where the evaluation result indicates that the stability of the transmission rate of the private network cell is less than a preset threshold, determine to update the interference model.

[0158] In this embodiment, the evaluation of the stability of the obtained transmission rate of the private network cell to obtain an evaluation result can be understood as evaluating the stability of the obtained transmission rate of the private network cell to obtain an evaluation result indicating that the stability of the transmission rate of the private network cell is less than a preset threshold or indicating that the stability of the transmission rate of the private network cell is greater than or equal to the preset threshold; wherein, the preset threshold can be determined according to the actual situation and is not limited herein, and the preset threshold can be briefly denoted as the threshold.

[0159] The specific manner of updating the interference model can be determined according to the actual situation and is not limited herein. Updating the interference model can be understood as triggering the update and / or reconstruction of the interference model.

[0160] In one embodiment, the method further includes:

[0161] Monitoring whether the environment of the public network cell and / or the private network cell has changed;

[0162] When the environment of the public network cell and / or the private network cell has changed, determining to update the interference model.

[0163] In this embodiment, the environment of the private network cell can be determined according to the actual situation and is not limited herein. As an example, the environment of the private network cell can be a networking environment.

[0164] In practical applications, after the interference model is established, it needs to be updated according to the analysis of the impact on the private network cell and the change of the networking environment. The triggering conditions mainly include: Method 1: Monitor the rate stability when the train enters the private network cell. When the rate stability is lower than the threshold after judging that the interference avoidance strategy is used, trigger the update / reconstruction of the interference model; Method 2: When the networking environment / physical environment of the public and private network cells changes, trigger the update / reconstruction of the interference model.

[0165] For better understanding, here an example of the beam interference adjustment method is the beam interference dynamic adjustment method. It mainly establishes an interference warning mechanism by predicting the beam-level co-frequency interference between the public and private network cells and implementing the corresponding interference strategy, reduces the interference between the public and private network cells, and ensures the two-way user experience. The main contents include: 1) Identify the beam interference by collecting interference data of the public and private network cells along the high-speed railway; 2) Innovatively define the rate stability to determine the interference degree; 3) Establish the corresponding relationship between the interference degree of the public network cell on the private network cell under different load levels and different user distributions through the AI algorithm; 4) Establish the principle of determining the interference level, and select the appropriate interference avoidance strategy before the high-speed train enters the private network cell according to the interference level to perform interference avoidance in advance; 5) Define a way of information transmission between multiple cells when the train enters and exits, including the strategy startup and strategy fallback methods. This content can be combined with Figure 3 for understanding, Figure 3 is a schematic flow chart of the interference warning mechanism based on prediction.

[0166] Step 1: Base station data collection and processing.

[0167] Data collection: The base station performs basic data collection and reporting according to the specified time period T (the value of T can be dynamically set as needed), and the network management side stores and cleans the data. The data mainly includes two major categories:

[0168] 1) User measurement reports and average uplink and downlink transmission rates of private network cells along the high-speed railway;

[0169] 2) Beam-level data information of public network cells, including service load and beam-level user distribution information (this part is new data collection content, aiming to provide relevant data support for subsequent beam interference identification).

[0170] Data processing: Correlate the currently collected beam-level information of public network cells and measurement information of private network cells.

[0171] Step 2: Calculate the rate stability of private network cells.

[0172] Evaluate the stability of the user transmission rate at the train running time of this section within the private network cell in terms of the line dimension.

[0173] Rate stability calculation principle: Judge the degree of rate stability by calculating the average value or mean square error of the changes between sampling points within a certain time period through methods such as these.

[0174] For easy understanding, as an example:

[0175] (1) Select the user transmission rates of each private network cell during the train passing time of this section for sampling analysis to determine the change rate of the cell user transmission rate level. This content can refer to formula (1) above.

[0176] In formula (1), R vary is the change rate of the transmission rate of this cell, is the transmission rate of the (n + 1)-th sampling point, is the transmission rate of the n-th sampling point, and N is the total number of sampling points.

[0177] (2) Judge the level of rate stability by setting thresholds, which respectively represent the degree of influence of the public network on the private network. This content can be understood in combination with Table 1. Table 1 is a schematic table showing the degree of influence of the public network on the private network represented by the levels.

[0178] Table 1

[0179] Stability level Load level change rate Degree of interference impact Grade A <![CDATA[R vary <δ1]]> Low Grade B <![CDATA[δ1<R vary <δ2]]> Medium Grade C <![CDATA[δ2 < R vary > High

[0180] Step 3: Build an interference model based on intelligent algorithms.

[0181] At the cell level, calculate the rate change rate based on the dedicated network cell rate. Construct a set of eigenvalues based on the neighboring cell relationship between the public and dedicated network cells, the rate change rate, the user measurement report of the dedicated network cell (including interference beam information), the beam service load of the public network cell, and the user distribution of the public network cell beam. Then, after the network management platform obtains the correlation model and correlation function between the input eigenvalues through algorithm training, the influence level of each beam direction of the public network cell on the dedicated network cell under different service loads and different user distributions can be obtained. This content can be combined with Figure 4 for understanding, Figure 4 which is the process schematic diagram of interference model construction in the embodiment of this application.

[0182] Definition of interference level: In this solution, the interference level of each beam is defined into 5 levels. Interference level 1 indicates a low degree of interference, and the dedicated network is less affected by interference and can basically be tolerated; interference level 2 indicates a medium-low degree of interference. The dedicated network is interfered by the public network, but the influence range is small, and simple measures can be taken to avoid interference; interference level 3 indicates a medium degree of interference. The dedicated network is interfered, and the influence range is further expanded, and corresponding measures need to be taken to avoid interference; interference level 4 indicates a medium-high degree. The dedicated network is severely interfered and measures must be taken to avoid it; interference level 5 indicates a high degree. The dedicated network is severely affected by the public network and the public network needs to make the greatest degree of avoidance. This content can be combined with Table 2 for understanding. Table 2 is the schematic table of interference levels.

[0183] Table 2

[0184] Interference level Degree indication Avoidance direction Level 1 Basically not interfered Avoidance not required Level 2 Interfered, but with a small impact range Simple measures can be taken Level 3 Interfered, impact range expands Complex measures can be taken Level 4 Relatively large degree of interference Aggressive measures can be taken Level 5 Severe degree of interference Avoidance to the greatest extent

[0185] Embodiment of constructing an interference model by AI algorithm, the process is as follows:

[0186] Model training can be combined with Figure 5 for understanding, Figure 5 which is the process schematic diagram of interference model construction in the embodiment of this application.

[0187] Based on the topological structure of the public and dedicated network cells along a certain section of the line, each group of public and dedicated neighboring cells is divided into a small group, and the multi-dimensional basic information of the public and dedicated network cells within the group is used as a certain eigenvalue of the input layer as a whole, and the output layer is the interference level division. Then, through this model, training the fitting function between the input and output, the weight matrices v1 and v2 can be obtained.

[0188] 1. Model input: Neighboring cell relationship, rate change rate, user measurement report, service load, user distribution information of each small group within the grid where i = 1, 2,..., N; N is the number of small groups on this section of the road.

[0189] 2. Model output: Interference level.

[0190] After training, the parameters (V1, V2) of the model and the fitting function are obtained.

[0191] Step 4: The model is sent to the public network cell.

[0192] After the OMC constructs the interference model based on historical information and sends it to the public network cell, the public network cell uses the model to predict the beam-level interference degree according to the real-time monitoring situation, and further selects the beam-level interference avoidance in advance according to the interference strategy selection principle proposed in this solution. The OMC sending IE can be understood in combination with Table 3, and Table 3 is a schematic table of the OMC sending IE. The process of the OMC sending IE can be understood in combination with Figure 6 for understanding, Figure 6 is a schematic diagram of the process of the OMC sending IE in the embodiment of this application.

[0193] Table 3

[0194] IE Name Semantics description Message Type Indicates the message type Target Cell ID Indicates the target cell ID sent down Interference Model Information Indicates the beam-level interference model information of this cell

[0195] Step 5: Interference early warning notification.

[0196] The high-speed rail network has a linear networking relationship. The previous cell of the private network calculates the train speed and the incoming information through information such as the frequency offset of users in the cell and the historical cell ID, and notifies this message to the subsequent private network cells. The notification message includes the train moving speed and the train incoming information. This content can be understood in combination with Table 4, and Table 4 is a schematic table of the transmitted IE. As shown in Table 4:

[0197] Table 4

[0198] IE Name Semantics description Message Type Indicates the message type Vehicle Warning Indicates the train entry warning Speed(0 - 500) Indicates the train running speed

[0199] After receiving the previous notification, the private network cell immediately notifies the neighboring public network cell. The notification content includes the train speed and the interference early warning. This content can be understood in combination with Table 5, and Table 5 is a schematic table of the transmitted IE. As shown in Table 5:

[0200]

[0201]

[0202] This content can be combined with Figure 7 for understanding, Figure 7 is a schematic diagram of the interference early warning in the embodiment of this application.

[0203] Step 6: Prediction of the beam interference level of the public network cell and selection of the interference avoidance strategy.

[0204] Since different beams of the public network have different interference levels on the public network under different service load levels and different user distributions, after receiving the interference warning information, the public network cell extracts the service load and user distribution information of each beam direction in real time and inputs them into the model, and outputs the interference level prediction. This scheme proposes a dynamic selection method of interference strategy based on the interference level, and adopts different interference avoidance strategies according to the different interference prediction levels of each beam, which mainly include:

[0205] When the beam interference level is level 1, the private network is basically not affected. The business load in the beam direction of the public network cell is low and the number of users is small. The public network business channel does not adopt relevant interference avoidance strategies, and the public channel and the private network cell are staggered.

[0206] When the beam interference level is level 2, the public network cell limits the scheduling of RB resources when scheduling service channel users in the beam direction, and staggers the RB resource scheduling area with the private network cell to avoid interference. The public channel and the private network cell are scheduled at different frequencies.

[0207] When the beam interference level is level 3, firstly, the public network cell limits the scheduling of RB resources when scheduling service users in the direction of the beam, and secondly, limits the transmission power when user services are transmitted in this direction, and the power range is reduced by 30%-50%. The public channel and the private network are scheduled at different frequencies, and the signal transmission power is reduced by 30%-50%.

[0208] When the beam interference level is level 4, the public network cell first performs load balancing in the direction of the beam, and maximizes the scheduling of users who meet the load balancing conditions and migrates them to other beams; secondly, for the stranded users who do not meet the load balancing conditions, the scheduling RB resources and transmission power are restricted, and the power range is reduced by 50-70%. The public channel and the private network are staggered and the signal transmission power is reduced by 50-70%.

[0209] When the beam interference level is level 5, users of the beam in the public network cell will be migrated, and all users who meet the conditions will be scheduled to migrate to other beam directions, and then the transmission of public signals and service signals in the beam direction will be suspended.

[0210] Step 7: Interference strategy rollback.

[0211] When the train leaves, the public network cell can implement interference strategy fallback. This solution proposes two fallback methods, as follows:

[0212] Method 1: The private network cell monitors the vehicle leaving and informs the public network cell to roll back the interference strategy. This content can be understood in conjunction with Table 6, which is a schematic table of IE. As shown in Table 6:

[0213] IE Name Semantics description Message Type Indicates the message type Cell ID Indicates the current private network cell ID Interference Warning Cancellation Indicates the cancellation of interference warning

[0214] Method 2: The public network cell predicts the interference duration based on the interference warning time received in Step 5 and the train entry speed, sets a policy execution time window, and automatically performs policy fallback when the time threshold is reached.

[0215] Step 8: Update the interference model.

[0216] After the interference model is ready, it needs to be updated according to the analysis of the impact on the private network cell and the change of the networking environment. The triggering conditions are mainly the following two:

[0217] (1) The private network cell monitors the rate stability when the train enters. When it is determined that the rate stability is lower than the threshold after using the interference avoidance strategy, it triggers the update / reconstruction of the interference model.

[0218] (2) When the networking environment / physical environment of the public and private network cells changes, it triggers the update / reconstruction of the interference model.

[0219] This application predicts the beam-level co-channel interference between public and private network cells in advance to implement corresponding interference avoidance strategies, ensuring interference avoidance while guaranteeing the experience of public network users, and providing two-way guarantee for both public and private networks. By defining a rate stability to represent the interference level, collecting and analyzing relevant data of public and private network cells, the upper-layer platform uses the above characteristic values for model training to obtain the determination of the specific interference level, and establishes the corresponding relationship between the interference levels of public network cells on private network cells under different load levels and different user distributions through AI algorithms. By defining the corresponding relationship between different levels of interference and policy types, flexibly selecting the interference avoidance type, while reducing the public-private interference, maximizing the guarantee of the user performance of the public network, and realizing two-way guarantee. The information transmission method between multiple cells when the train enters and exits, including the policy startup and policy fallback methods.

[0220] This application proposes a beam interference dynamic adjustment system. By identifying beam-level interference and defining the degree of interference impact, it establishes an interference warning mechanism, which can predict the interference level according to the real-time situation of the public network. This solution also defines a method for selecting interference strategies based on the determination of the interference level, defines the corresponding relationship between different levels of interference and policy types, flexibly selects the interference avoidance type, while reducing the public-private interference, maximizing the guarantee of the user performance of the public network, and realizing two-way guarantee.

[0221] To implement the method of the embodiments of this application, the embodiments of this application also provide a beam interference adjustment device 800, which is set on the network device. Figure 8 For a schematic diagram of a beam interference adjustment device according to an embodiment of this application; as Figure 8 shown, the device 800 includes:

[0222] An acquisition unit 801, configured to acquire beam-level information of at least one public network cell;

[0223] An interference coordination unit 802, configured to perform interference coordination between the public network cell and at least one private network cell based on the beam-level information, so as to obtain a beam interference level of a target public network cell related to a target private network cell in the at least one private network cell with respect to the target private network cell;

[0224] A determination unit 803, configured to determine an interference adjustment strategy of the target public network cell based on the beam interference level.

[0225] Here, in an embodiment, the interference coordination unit 802 is further configured to obtain measurement information of the at least one private network cell; before the target train enters the target private network cell, predict the beam interference level of the target public network cell with respect to the target private network cell based on the beam-level information and the measurement information.

[0226] Here, in an embodiment, the beam-level information includes at least one of the following:

[0227] Service load information of the public network cell;

[0228] Beam-level user distribution information of the public network cell;

[0229] Topological structure information of the public network cell.

[0230] Here, in an embodiment, the measurement information includes at least one of the following:

[0231] Measurement reports of the private network cell;

[0232] Transmission rate of the private network cell.

[0233] Here, in an embodiment, the apparatus 800 further includes an evaluation unit, where

[0234] The evaluation unit is configured to evaluate the stability of the transmission rate to obtain an evaluation result;

[0235] The determination unit 803 is further configured to determine influence degree information of the public network cell on the private network cell based on the evaluation result.

[0236] Here, in an embodiment, the interference coordination unit 802 is further configured to construct an interference model of the public network cell with respect to the private network cell based on the beam-level information, the measurement information, and the influence degree information; predict the beam interference level of the target public network cell with respect to the target private network cell according to the interference model.

[0237] Here, in one embodiment, the interference coordination unit 802 is further configured to use the beam-level information and the measurement information as the input of the initial model and the influence degree information as the output of the initial model to train the initial model, so as to obtain the interference model; the initial model includes an artificial intelligence (AI) algorithm.

[0238] Here, in one embodiment, the obtaining unit 801 is further configured to obtain interference warning information that the target train will enter the target private network cell; and obtain target service load information and target beam-level user distribution information of the target public network cell based on the interference warning information.

[0239] The interference coordination unit 802 is further configured to input the target service load information and the target beam-level user distribution information into the interference model for prediction, so as to obtain the beam interference level of the target public network cell with respect to the target private network cell.

[0240] Here, in one embodiment, the beam interference level includes one of the following:

[0241] A first level indicating that the target private network cell is not interfered by the target public network;

[0242] A second level indicating that the target private network cell is interfered by the target public network, but the influence range is small;

[0243] A third level indicating that the target private network cell is interfered by the target public network, but the influence range is large;

[0244] A fourth level indicating that the target private network cell is severely interfered by the target public network;

[0245] A fifth level indicating that the target private network cell is severely interfered by the target public network.

[0246] Here, in one embodiment, the determining unit 803 is further configured to, when the beam interference level is the first level, determine that the interference adjustment strategy is to take no measures against the target public network cell; when the beam interference level is the second level, determine that the interference adjustment strategy is to limit the service scheduling resources in the target beam direction corresponding to the target public network cell and stagger the scheduling area from the target private network cell; when the beam interference level is the third level, determine that the interference adjustment strategy is to limit the service scheduling resources and transmit power in the target beam direction corresponding to the target public network cell; when the beam interference level is the fourth level, determine that the interference adjustment strategy is to perform load balancing on the target beam direction corresponding to the target public network cell, migrate the users meeting the load balancing to other beams, and limit the scheduling resources and transmit power of the users not meeting the load balancing; when the beam interference level is the fifth level, determine that the interference adjustment strategy is to perform user migration on the target beam direction corresponding to the target public network cell and suspend the transmission of the public signal and service signal in the target beam direction.

[0247] Here, in one embodiment, the apparatus 800 further includes a monitoring unit and a starting unit; wherein,

[0248] The monitoring unit is configured to monitor whether the target train has exited the target private network cell;

[0249] The starting unit is configured to, when the target train has exited the target private network cell, start the fallback of the target public network cell to execute the interference adjustment strategy.

[0250] Here, in one embodiment, the obtaining unit 801 is further configured to, after the target public network cell executes the interference adjustment strategy, obtain the transmission rate of the private network cell;

[0251] The evaluation unit is further configured to evaluate the stability of the obtained transmission rate of the private network cell to obtain an evaluation result;

[0252] The determining unit 803 is further configured to, when the evaluation result indicates that the stability of the transmission rate of the private network cell is less than a preset threshold, determine to update the interference model.

[0253] Here, in one embodiment, the monitoring unit is further configured to monitor whether the environment of the public network cell and / or the private network cell has changed;

[0254] The determining unit 803 is further configured to, when the environment of the public network cell and / or the private network cell has changed, determine to update the interference model.

[0255] It should be noted that when the beam interference adjustment device provided in the above embodiments performs beam interference adjustment, only the division of the above program modules is used for illustration. In actual applications, the above processing can be allocated to different program modules according to needs, that is, the internal structure of the device is divided into different program modules to complete all or part of the processing described above. In addition, the beam interference adjustment device provided in the above embodiments and the embodiments of the beam interference adjustment method belong to the same concept. For the specific implementation process, please refer to the method embodiments and will not be elaborated here.

[0256] Based on the hardware implementation of the above program modules, an embodiment of the present application further provides a network device, including a memory and a processor. The memory stores a computer program that can run on the processor, and when the processor executes the program, it implements the steps in the beam interference adjustment method provided in the above embodiments.

[0257] Correspondingly, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the steps in the beam interference adjustment method provided in the above embodiments.

[0258] It should be pointed out here that the descriptions of the above storage medium and device embodiments are similar to those of the above method embodiments and have similar beneficial effects to the method embodiments. For the technical details not disclosed in the storage medium and device embodiments of the present application, please refer to the descriptions of the method embodiments of the present application for understanding.

[0259] It should be noted that Figure 9 is a schematic diagram of a hardware entity structure of the network device in the embodiments of the present application. As Figure 9 shown, the hardware entity of the network device 900 includes: a processor 901 and a memory 903. Optionally, the network device 900 may further include a communication interface 902.

[0260] It can be understood that the memory 903 can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a ferromagnetic random access memory (FRAM), a flash memory, a magnetic surface memory, an optical disc, or a compact disc read-only memory (CD-ROM); the magnetic surface memory can be a disk memory or a tape memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM), synchronous static random access memory (SSRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), sync link dynamic random access memory (SLDRAM), direct rambus random access memory (DRRAM).The memory 903 described in the embodiments of the present application is intended to include, but not limited to, these and any other suitable types of memories.

[0261] The methods disclosed in the embodiments of the present application above can be applied to or implemented by the processor 901. The processor 901 may be an integrated circuit chip with signal processing capabilities. During implementation, the steps of the above methods can be completed by the integrated logic circuit in hardware or instructions in software form in the processor 901. The above-mentioned processor 901 may be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 901 can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present application. The general-purpose processor may be a microprocessor or any conventional processor, etc. Combining the steps of the methods disclosed in the embodiments of the present application, it can be directly embodied as being executed and completed by the hardware decoding processor, or executed and completed by the combination of the hardware and software modules in the decoding processor. The software module may be located in the storage medium, and this storage medium is located in the memory 903. The processor 901 reads the information in the memory 903 and combines its hardware to complete the steps of the foregoing methods.

[0262] In an exemplary embodiment, the device can be implemented by one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field-programmable gate arrays (FPGAs), general-purpose processors, controllers, microcontroller units (MCUs), microprocessors, or other electronic components for executing the foregoing methods.

[0263] It should be understood that the "one embodiment" or "an embodiment" mentioned throughout the specification means that the specific features, structures, or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, the appearances of "in one embodiment" or "in an embodiment" throughout the specification do not necessarily refer to the same embodiment. In addition, these specific features, structures, or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in various embodiments of the present application, the magnitudes of the sequence numbers of the above processes do not mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application. The sequence numbers of the embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

[0264] It should be noted that in the present application, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element limited by the statement "comprising a..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0265] The methods disclosed in several method embodiments provided by the present application can be arbitrarily combined without conflict to obtain new method embodiments.

[0266] The features disclosed in several product embodiments provided by the present application can be arbitrarily combined without conflict to obtain new product embodiments.

[0267] The features disclosed in several method or device embodiments provided by the present application can be arbitrarily combined without conflict to obtain new method embodiments or device embodiments.

[0268] As mentioned above, it is only the implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present application, and all should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A beam interference adjustment method, characterized in that, Including: Obtaining beam-level information of at least one public network cell; Based on the beam-level information, performing interference coordination between the public network cell and at least one private network cell to obtain the beam interference level of the target public network cell related to the target private network cell in the at least one private network cell on the target private network cell; Based on the beam interference level, determining an interference adjustment strategy for the target public network cell.

2. The method according to claim 1, characterized in that, The performing interference coordination between the public network cell and at least one private network cell based on the beam-level information to obtain the beam interference level of the target public network cell related to the target private network cell in the at least one private network cell on the target private network cell includes: Obtaining measurement information of the at least one private network cell; Before the target train enters the target private network cell, predicting the beam interference level of the target public network cell on the target private network cell based on the beam-level information and the measurement information.

3. The method according to claim 1 or 2, characterized in that, The beam-level information includes at least one of the following: Service load information of the public network cell; Beam-level user distribution information of the public network cell; Topological structure information of the public network cell.

4. The method according to claim 2, wherein The measurement information includes at least one of the following: Measurement report of the private network cell; Transmission rate of the private network cell.

5. The method according to claim 2, characterized in that When the measurement information includes the transmission rate of each private network cell, the method further includes: Evaluating the stability of the transmission rate to obtain an evaluation result; Based on the evaluation result, determining influence degree information of the public network cell on the private network cell.

6. The method according to claim 5, wherein The predicting the beam interference level of the target public network cell on the target private network cell based on the beam-level information and the measurement information includes: Based on the beam-level information, the measurement information, and the influence degree information, constructing an interference model of the public network cell on the private network cell; According to the interference model, predicting the beam interference level of the target public network cell on the target private network cell.

7. The method according to claim 6, wherein The constructing the interference model of the public network cell on the private network cell based on the beam-level information, the measurement information, and the influence degree information includes: Using the beam-level information and the measurement information as the input of an initial model and using the influence degree information as the output of the initial model to train the initial model to obtain the interference model; the initial model includes an artificial intelligence (AI) algorithm.

8. The method according to claim 6, wherein The method further includes: Obtaining interference warning information that the target train will enter the target private network cell; Based on the interference warning information, obtaining target service load information and target beam-level user distribution information of the target public network cell; Inputting the target service load information and the target beam-level user distribution information into the interference model for prediction to obtain the beam interference level of the target public network cell related to the target private network cell on the target private network cell.

9. The method according to claim 8, wherein The beam interference level includes one of the following: A first level indicating that the target private network cell is not interfered by the target public network; A second level indicating that the target private network cell is interfered by the target public network, but the influence range is small; The third level that characterizes that the target private network cell is interfered by the target public network, but the influence range is large; The fourth level that characterizes that the target private network cell is severely interfered by the target public network; The fifth level that characterizes that the target private network cell is severely interfered by the target public network.

10. The method according to claim 9, wherein The interference adjustment strategy for the target public network cell determined based on the beam interference level includes: When the beam interference level is the first level, determining that the interference adjustment strategy is not to take measures against the target public network cell; When the beam interference level is the second level, determining that the interference adjustment strategy is to limit the service scheduling resources in the target beam direction corresponding to the target public network cell and stagger the scheduling area from the target private network cell; When the beam interference level is the third level, determining that the interference adjustment strategy is to limit the service scheduling resources and transmit power in the target beam direction corresponding to the target public network cell; When the beam interference level is the fourth level, determining that the interference adjustment strategy is to perform load balancing on the target beam direction corresponding to the target public network cell, migrate the users meeting the load balancing to other beams, and limit the scheduling resources and transmit power for the users not meeting the load balancing; When the beam interference level is the fifth level, determining that the interference adjustment strategy is to perform user migration on the target beam direction corresponding to the target public network cell and suspend the transmission of public signals and service signals in the target beam direction.

11. The method according to claim 2, wherein The method further includes: Monitoring whether the target train has left the target private network cell; When the target train has left the target private network cell, starting the rollback of the interference adjustment strategy executed by the target public network cell.

12. The method according to claim 6, wherein The method further includes: After the target public network cell executes the interference adjustment strategy, obtaining the transmission rate of the private network cell; Evaluating the stability of the obtained transmission rate of the private network cell to obtain an evaluation result; When the evaluation result indicates that the stability of the transmission rate of the private network cell is less than a preset threshold, determining to update the interference model.

13. The method according to claim 6, wherein The method further includes: Monitoring whether the environment of the public network cell and / or the private network cell has changed; When the environment of the public network cell and / or the private network cell has changed, determining to update the interference model.

14. A beam interference adjustment device, characterized in that, It includes: An acquisition unit for acquiring the beam-level information of at least one public network cell; An interference coordination unit for performing interference coordination between the public network cell and at least one private network cell based on the beam-level information to obtain the beam interference level of the target public network cell on the target private network cell related to the target private network cell in the at least one private network cell; A determination unit for determining the interference adjustment strategy of the target public network cell based on the beam interference level.

15. A network device, characterized in that, It includes: A processor and a memory for storing a computer program that can run on the processor, wherein, when the processor is used to run the computer program, it executes the steps of the method according to any one of claims 1 to 13.

16. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 13.

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