Method and apparatus for optimizing coverage and capacity

Abstract

This application provides a method and apparatus for optimizing coverage and capacity. In the technical solution provided herein, the first coverage and capacity of a first network device in a second period can be predicted in the first period, where the second period is slower than the first period. The first coverage and capacity optimization CCO setting of the first network device in the second period can be determined based on the first coverage and capacity. Then, first information can be transmitted to a second network device, where the first information indicates the first CCO setting. According to the technical solution provided herein, the coverage and capacity of the first network device are predicted in advance and an appropriate CCO setting is determined for the first network device, so that communication of terminal devices in the first network device is not affected.

Description

Technical Field

[0001] This application relates to the field of wireless communication technologies, and particularly to methods and apparatuses for coverage and capacity optimization.

Background Art

[0002] As an important part of network deployment, planning, and optimization, coverage and capacity optimization (CCO) is used to detect, mitigate, or eliminate cell coverage or cell edge interference problems to improve network performance. Currently, the 3rd Generation Partnership Project (3GPP) supports base stations in performing CCO within the range permitted by the coverage settings.

[0003] Currently, the method for performing CCO by a base station is as follows: The base station determines that coverage and capacity problems are occurring, and then performs CCO based on the current coverage and capacity.

[0004] However, in this method, there is a problem that the communication of the terminal device is affected (for example, interrupted).

Summary of the Invention

[0005] This application provides methods and apparatuses for coverage and capacity optimization. Since the coverage and capacity of the first network device are predicted in advance and an appropriate CCO setting is determined for the first network device, the communication of the terminal device (for example, network access and data exchange) is not affected.

[0006] In accordance with the first aspect, the present application provides a method for optimizing coverage and capacity. The method includes, in a first period, predicting a first coverage and capacity of a first network device in a second period which is later than the first period; determining a first coverage and capacity optimized CCO setting for the first network device in the second period based on the first coverage and capacity; and transmitting first information indicating the first CCO setting to a second network device.

[0007] For example, the first network device may be a next-generation node B (gNB), and the second network device may also be a gNB, and the first and second network devices may be adjacent. Adjacent can be understood as the service area of ​​the first network device being adjacent to or overlapping with the service area of ​​the second network device.

[0008] In other examples, the first network device may be the central unit (CU) of the gNB, and the second network device may be the distributed unit (DU) of the gNB.

[0009] In this technical solution, the coverage and capacity requirements of the first network device at time 2 are predicted at time 1, and the CCO settings of the first network device at time 2 are determined based on the coverage and capacity requirements at time 2. This avoids the delay problem that occurs when performing CCO based on current coverage and capacity only after the base station has determined that a coverage and capacity problem is occurring, and improves the communication quality of terminal devices in the first network device.

[0010] Referring to the first aspect, in a possible implementation, the method further includes transmitting second information to a second network device indicating that the first CCO setting was obtained by prediction.

[0011] Optionally, the second information may be independent directional information such as text, numbers, symbols, or graphs agreed upon with the second network device. After receiving the second information, the second network device may determine that the first CCO setting was obtained based on prediction.

[0012] Optionally, the second information may be independent bit information to indicate to the second network device that the first CCO setting was obtained based on prediction.

[0013] In this implementation, the second information may be used to explicitly prompt the second network device to obtain the first CCO setting by prediction, thereby enabling the second network device to determine the appropriateness of the first CCO setting in order to improve the accuracy of the first CCO setting.

[0014] Referring to the first aspect, in any possible implementation, the second information is the content included in the first information.

[0015] The content contained in the first piece of information can be understood as the information contained in the first piece of information.

[0016] In this implementation, the second information may be included in the first information to implicitly indicate to the second network device that the first CCO setting was obtained based on prediction.

[0017] Referring to the first aspect, in possible implementations, the first information is, Number of the 1st CCO setting, The cell number to which the 1st CCO setting is applied, First CCO setting, Validity period of the first CCO setting, Reasons for applying the first CCO setting, Expected effects of applying the first CCO setting, and Prediction accuracy of the 1st CCO setting It includes at least one of the following:

[0018] In this implementation, the second piece of information is the content included in the first piece of information, for example, the expected effect of setting the first CCO and / or the predictive accuracy of setting the first CCO, as described in the first piece of information.

[0019] In this implementation, the first information includes the adjustment results and reasons for the CCO settings, so the second network device can perform appropriate CCO adjustments based on the first network device's first CCO settings. This reduces the proportion of coverage problems that occur on the second network device to some extent because the first network device performs the CCO adjustments.

[0020] Referring to the first aspect, in a possible implementation, the first CCO setting includes M CCO settings, where M is a positive integer greater than 1, and the second information is M.

[0021] In this implementation, multiple CCO settings may be transmitted to implicitly indicate to a second network device that the first CCO setting was obtained through prediction. The second piece of information is the number of CCO settings within the first CCO setting.

[0022] Referring to the first aspect, in a possible implementation, the method further includes, in a first period, predicting the second coverage and capacity of the second network device in a second period; determining the second CCO setting of the second network device in the second period based on the second coverage and capacity; and transmitting third information indicating the second CCO setting to the second network device.

[0023] In this implementation, the second CCO setting of the second network device during the second period may be determined by forecast to take into account changes in the coverage and capacity requirements of the second network device during the second period. This avoids, to some extent, coverage problems caused to the second network device because the first network device adjusts its CCO setting.

[0024] Referring to the first aspect, the method further includes receiving, from a second network device, fourth information indicating CCO settings determined by the second network device for the second network device.

[0025] In this implementation, when accepting the application of the first CCO settings to the first network device in the second period, the second network device may transmit the fourth information so as to indicate the CCO settings determined by the second network device for the second network.

[0026] Optionally, the CCO settings determined by the second network device for the second network device may be one CCO setting or multiple CCO settings.

[0027] Optionally, the CCO settings determined by the second network device for the second network device may be the second CCO settings of the second network device in the second period, the CCO settings in other periods including the second period, or the CCO settings in a partial period within the second period. This is not limited in this application.

[0028] Optionally, the fourth information may further include indication information indicating whether the CCO settings determined by the second network device for the second network device are obtained by prediction.

[0029] In one example, the second network device transmits a bit indicating that the application of the first CCO settings to the first network in the second period is accepted, and may return an adjustment result after determining the CCO settings of the second network device.

[0030] Referring to the first aspect, in a possible implementation, the method further includes receiving the fourth information from the second network device, and the fourth information is used to request to re-determine the CCO settings.

[0031] In this implementation, the second network device considers that the accuracy and precision of the first CCO settings and / or second CCO settings determined by prediction do not satisfy the requirements of the second network device. Therefore, the second network device may request that the first CCO settings and / or second CCO settings be redetermined.

[0032] In a possible implementation, the second network device provides to the first network device, Reinference instructions, Reasons for re-inference, The precision, accuracy, coverage, and capacity optimization requirements that the second network device is expected to meet in the first CCO configuration and / or the second CCO configuration. The estimated time to complete the reinference, or Other data that helps in performing predictions and inferences It can send.

[0033] In other possible implementations, the second network device may make further predictions based on the input data used by the first network device in the process of determining the first CCO settings and / or the second CCO settings by prediction, as well as received information such as the AI ​​model used or the number of the AI ​​model, and the parameters of the AI ​​model.

[0034] In this implementation, if the first CCO settings and / or second CCO settings obtained by prediction by the second network device have higher precision, higher accuracy, and better effect, the first CCO settings and / or second CCO settings determined by prediction may be included in the fourth information for feedback.

[0035] Referring to the first aspect, in a possible implementation, the method is carried out by a first network device.

[0036] In this implementation, for example, the first network device may be a gNB or a DU of a gNB, or a chip, hardware circuitry, and / or software module used in a gNB or a DU of a gNB.

[0037] Referring to the first aspect, in a possible implementation, the method is performed by a third network device, and the method further includes sending a first CCO configuration to the first network device.

[0038] In this implementation, for example, the third network device may be a CU for operation, administration and maintenance (OAM) or gNB, or a chip, hardware circuit, and / or software module used in the OAM or gNB CU.

[0039] In this implementation, if the implementing entity is a third network device, the third network device may further transmit to the first network device the first CCO settings that are applied to the first network device during the second period.

[0040] In addition to optionally transmitting the first CCO setting, the third network device may further transmit information to the first network device such as the number of the first CCO setting, the number of the cells to which the first CCO setting applies, the validity period of the first CCO setting, the reason for applying the first CCO setting, the expected effect of applying the first CCO setting, and the predictive accuracy of the first CCO setting.

[0041] Referring to the first aspect, in a possible implementation, the method further includes receiving from the first network device fifth information indicating the CCO setting determined by the first network device for the first network device.

[0042] In this implementation, after receiving the first CCO configuration transmitted by the third network device, the first network device may determine the appropriateness of the first CCO configuration and then transmit feedback information to the third network device.

[0043] If the first network device optionally accepts the first CCO configuration sent by the third network device, the fifth information is the first CCO configuration.

[0044] Optionally, if the first network device does not accept the first CCO setting transmitted by the third network device, the fifth information may be a CCO setting determined by the first network device for the first network device based on the coverage and capacity requirements of the first network device.

[0045] Optionally, the fifth piece of information may be information requesting the third network device to re-determine the CCO settings for the first network device.

[0046] Referring to the first aspect, in a possible implementation, the method further includes receiving sixth information, the sixth information is Terminal device path information, Channel quality measurement information for terminal devices, Terminal device service information, The CCO settings currently applied to the cell in the first network device, The CCO settings currently applied to the cell in the second network device, Call drop rate of terminal devices, The success rate of access by terminal devices, and Average access latency of terminal devices Includes at least one of the following pieces of information, Predicting the first coverage and capacity of the first network device in the second period during the first period includes predicting the first coverage and capacity of the first network device based on the sixth information during the first period.

[0047] In this implementation, for the sake of clarity, terminal devices may be abbreviated as terminals or terminals in the first network device, terminals in the first network device or terminals within each cell in the first network device shall be called first terminals, and terminals in the second network device or terminals within each cell in the second network device shall be called second terminals.

[0048] Optionally, the terminal's path information may include the terminal's past path information and / or the terminal's predicted path information; the terminal's channel quality measurement information may include the terminal's past channel quality measurement information and / or the terminal's predicted channel quality measurement information; and the terminal's service information may include the terminal's past service information and / or the terminal's predicted service information.

[0049] The terminal's predicted path information, predicted channel quality measurement information, and predicted service information can be obtained by the terminal through prediction based on the terminal's past path information, past channel quality measurement information, and past service information, respectively, or they can be obtained by the first or second network device through prediction based on the terminal's received past path information, past channel quality measurement information, and past service information.

[0050] In this implementation, when determining the first coverage and capacity of the first network device in the second period, information about the second terminal is considered, not just information about the first terminal. Therefore, terminals in the second network device may be moved to the first network device for access. Consequently, requirements for increasing the coverage and capacity of the first network device are considered. This improves the accuracy of predicting the first coverage and capacity.

[0051] Referring to the first aspect, in a feasible implementation, the first coverage and capacity are obtained by prediction based on a neural network model.

[0052] In this implementation, obtaining the first coverage and capacity by prediction based on a neural network model is merely an optional method. The models used in the prediction process are not limited herein.

[0053] Referring to the first aspect, in a possible implementation, the method is to receive seventh information, the seventh information being information after the CCO settings have been applied to a first network device in a second period, and including at least one of the following: terminal device path information, terminal device channel quality measurement information, terminal device service information, CCO settings currently applied to cells in the first network device, CCO settings currently applied to cells in the second network device, terminal device call drop rate, terminal device access success rate, and terminal device average access delay, and further comprising optimizing a neural network model based on the seventh information.

[0054] In this implementation, if the actual coverage and capacity requirement change data for cells in the first network device or the second network device, contained in the seventh information received by the first or third network device, does not match the data obtained by prediction, the neural network model may be trained and optimized based on the actual data to gradually improve the accuracy of the prediction.

[0055] In accordance with a second aspect, the present application provides a method for optimizing coverage and capacity. The method is applied to a second network device and includes receiving first information indicating a first coverage and capacity optimization CCO setting of a first network device in a second period.

[0056] In this implementation, after receiving the first information, the second network device may appropriately adjust the CCO applied to the cell in the second network device based on the first CCO setting of the first network device.

[0057] Optionally, the first information may further include relevant data used to determine the first CCO setting of the first network device by prediction, the AI ​​model used in the prediction process, the AI ​​model number, and the AI ​​model parameters, so that the second network device can determine the appropriateness of the first CCO setting based on the first information.

[0058] Referring to the second aspect, in a possible implementation, the second information is received, and the second information indicates that the first CCO setting was obtained by prediction.

[0059] Optionally, the second information may be independent directional information such as text, numbers, symbols, or graphs agreed upon with the second network device. After receiving the second information, the second network device may determine that the first CCO setting was obtained based on prediction.

[0060] Optionally, the second information may be independent bit information to indicate to the second network device that the first CCO setting was obtained based on prediction.

[0061] In this implementation, the second information may be used to explicitly prompt the second network device to obtain the first CCO setting by prediction, thereby enabling the second network device to determine the appropriateness of the first CCO setting in order to improve the accuracy of the first CCO setting.

[0062] Referring to the second aspect, in any possible implementation, the second information is the content included in the first information.

[0063] The content contained in the first piece of information can be understood as the information contained in the first piece of information.

[0064] In this implementation, the second information may be included in the first information to implicitly indicate to the second network device that the first CCO setting was obtained based on prediction.

[0065] Referring to the second aspect, in possible implementations, the first information is, Number of the 1st CCO setting, The cell number to which the 1st CCO setting is applied, First CCO setting, Validity period of the first CCO setting, Reasons for applying the first CCO setting, Expected effects of applying the first CCO setting, and Prediction accuracy of the 1st CCO setting It includes at least one of the following:

[0066] In this implementation, the second piece of information is the content included in the first piece of information, for example, the expected effect of setting the first CCO and / or the predictive accuracy of setting the first CCO, as described in the first piece of information.

[0067] In this implementation, the first information includes the adjustment results and reasons for the CCO settings, so the second network device can perform appropriate CCO adjustments based on the first network device's first CCO settings. This reduces the proportion of coverage problems that occur on the second network device to some extent because the first network device performs the CCO adjustments.

[0068] Referring to the first aspect, in a possible implementation, the first CCO setting includes M CCO settings, where M is a positive integer greater than 1, and the second information is M.

[0069] In this implementation, multiple CCO settings may be transmitted to implicitly indicate to a second network device that the first CCO setting was obtained through prediction. The second piece of information is the number of CCO settings within the first CCO setting.

[0070] Referring to the first aspect, in a possible implementation, the method further includes receiving third information indicating the second CCO setting of the second network device during the second period.

[0071] In this implementation, the second CCO setting of the second network device during the second period is determined by prediction to take into account changes in the coverage and capacity requirements of the second network device during the second period. This avoids, to some extent, coverage problems caused to the second network device because the first network device adjusts its CCO setting.

[0072] Referring to the second aspect, in a possible implementation, the method further includes transmitting fourth information indicating the CCO settings determined by the second network device for the second network device.

[0073] In this implementation, if the application of the first CCO setting to the first network device during the second period is accepted, the second network device may transmit fourth information to instruct the second network to use the CCO setting determined by the second network device.

[0074] Referring to the second aspect, in a possible implementation, the method further includes transmitting a fourth piece of information used to request a reassessment of the CCO setting.

[0075] In this implementation, the second network device considers that the accuracy and precision of the first CCO settings and / or second CCO settings determined by prediction do not satisfy the requirements of the second network device. Therefore, the second network device may request that the first CCO settings and / or second CCO settings be redetermined.

[0076] Referring to the second aspect, in a possible implementation, the method further includes transmitting sixth information, the sixth information is Terminal device path information, Channel quality measurement information of the aforementioned terminal device, Service information of the aforementioned terminal device, The CCO settings currently applied to the cell in the first network device, The CCO settings currently applied to the cell in the second network device, The call drop rate of the aforementioned device, The success rate of access by the aforementioned terminal device, and Average access delay of the aforementioned terminal device It includes at least one piece of information from the following categories.

[0077] In this implementation, when determining the first coverage and capacity of the first network device in the second period, information about the second terminal is considered, not just information about the first terminal. Therefore, terminals in the second network device may be moved to the first network device for access. Therefore, requirements for increasing the coverage and capacity of the first network device are considered. Furthermore, terminals in the first network device may be moved to the second network device for access. Therefore, requirements for increasing the coverage and capacity of the second network device are considered. This improves the accuracy of predicting the first coverage and capacity.

[0078] Referring to the second aspect, in a possible implementation, the method further includes transmitting seventh information, which is the information after the CCO setting has been applied to the first network device in the second period. Terminal device path information, Channel quality measurement information for terminal devices, Terminal device service information, The CCO settings currently applied to the cell in the first network device, The CCO settings currently applied to the cell in the second network device, Call drop rate of terminal devices, The success rate of access by terminal devices, and Average access latency of terminal devices It includes at least one piece of information from the following categories.

[0079] The terminal device is a terminal device in the second network device.

[0080] In this implementation, the second network device feeds back the execution information of the second network device after the CCO settings were applied to the first network device during the second period, in order to determine the similarity between the actual coverage and capacity requirement change data of the cells in the second network device and the data obtained by prediction, in order to determine the prediction accuracy of the neural network model.

[0081] In accordance with the third aspect, the present application provides a method for optimizing coverage and capacity. The method is applied to a terminal device and comprises transmitting sixth information, the sixth information comprising at least one of the following: path information of the terminal device, channel quality measurement information of the terminal device, and service information of the terminal device.

[0082] In this implementation, the terminal device may be a terminal device in the first network device or a cell in the first network device, or it may be a terminal device in the second network device or a cell in the second network device.

[0083] Referring to the third aspect, in a possible implementation, the method further includes transmitting seventh information, which is information after the CCO setting has been applied to the first network device in the second period, and includes at least one of the following: terminal device path information, terminal device channel quality measurement information, and terminal device service information.

[0084] In accordance with the fourth aspect, the present application provides a device for optimizing coverage and capacity. The device includes modules configured to implement a method in either the first aspect or an implementation of the first aspect, each module may be implemented in hardware and / or software form.

[0085] For example, the device may include a processing module and a transceiver module. The processing module is configured to predict, in a first period, a first coverage and capacity of a first network device in a second period which is later than the first period. The processing module is further configured to determine a first coverage and capacity optimized CCO setting for the first network device in the second period based on the first coverage and capacity. The transceiver module is configured to transmit first information indicating the first CCO setting to a second network device.

[0086] Referring to the fourth aspect, in a possible implementation, the transceiver module is further configured to transmit second information to a second network device indicating that the first CCO setting has been obtained by prediction.

[0087] Referring to the fourth aspect, in a possible implementation, the processing module is further configured to predict the second coverage and capacity of the second network device in the second period in the first period, the processing module is further configured to determine the second CCO setting of the second network device in the second period based on the second coverage and capacity, and the transceiver module is further configured to transmit third information indicating the second CCO setting to the second network device.

[0088] Referring to the fourth aspect, in a possible implementation, the transceiver module is further configured to receive fourth information from the second network device indicating the CCO setting determined by the second network device for the second network device.

[0089] Referring to the fourth aspect, in a possible implementation, the transceiver module is further configured to receive fourth information from a second network device, which is used to request a re-determination of the CCO settings.

[0090] Referring to the fourth aspect, in a possible implementation, the transceiver module is further configured to transmit the first CCO setting to the first network device.

[0091] Referring to the fourth aspect, in a possible implementation, the transceiver module is further configured to receive from the first network device fifth information indicating the CCO setting determined by the first network device for the first network device.

[0092] Referring to the fourth aspect, in a possible implementation, the transceiver module is further configured to receive sixth information, which includes at least one of the following: terminal device path information, terminal device channel quality measurement information, terminal device service information, CCO settings currently applied to a cell in a first network device, CCO settings currently applied to a cell in a second network device, terminal device call drop rate, terminal device access success rate, and terminal device average access delay, and the processing module is further configured to predict a first coverage and capacity of the first network device based on the sixth information during a first period.

[0093] Referring to the fourth aspect, in a possible implementation, the processing module is further configured to obtain the first coverage and capacity by prediction based on a neural network model.

[0094] Referring to the fourth aspect, in a possible implementation, the transceiver module is further configured to receive seventh information, which is information after the CCO setting has been applied to the first network device in a second period, and includes at least one of the following: terminal device path information, terminal device channel quality measurement information, terminal device service information, CCO setting currently applied to a cell in the first network device, CCO setting currently applied to a cell in the second network device, terminal device call drop rate, terminal device access success rate, and terminal device average access delay, and the processing module is further configured to optimize the neural network model based on the seventh information.

[0095] In accordance with the fifth aspect, the present application provides a device for optimizing coverage and capacity. The device includes modules configured to implement the methods in either the second aspect or an implementation of the second aspect, each module which may be implemented in hardware and / or software form.

[0096] For example, the device may include a transceiver module. The transceiver module is configured to receive first information indicating the first coverage and capacity-optimized CCO settings of the first network device during a second period.

[0097] Referring to the fifth aspect, in a possible implementation, the transceiver module is further configured to receive second information indicating that the first CCO setting was obtained by prediction.

[0098] Referring to the fifth aspect, in a possible implementation, the transceiver module is further configured to receive third information indicating the second CCO setting of the second network device during the second period.

[0099] Referring to the fifth aspect, in a possible implementation, the transceiver module is further configured to transmit fourth information indicating the CCO setting determined by the second network device for the second network device.

[0100] Referring to the fifth aspect, in a possible implementation, the transceiver module may be further configured to transmit fourth information used to request a re-determination of the CCO setting.

[0101] Referring to the fifth aspect, in a possible implementation, the transceiver module is further configured to transmit sixth information, which includes at least one of the following: terminal device path information, terminal device channel quality measurement information, terminal device service information, CCO settings currently applied to the cell in the first network device, CCO settings currently applied to the cell in the second network device, terminal device call drop rate, terminal device access success rate, and terminal device average access delay.

[0102] Referring to the fifth aspect, in a possible implementation, the transceiver module is further configured to transmit seventh information, which is information after the CCO setting has been applied to the first network device in the second period, and includes at least one of the following: terminal device path information, terminal device channel quality measurement information, terminal device service information, CCO setting currently applied to the cell in the first network device, CCO setting currently applied to the cell in the second network device, terminal device call drop rate, terminal device access success rate, and terminal device average access delay.

[0103] Optionally, the device may further include a processing module. The processing module is configured to determine the CCO settings for a second network device.

[0104] In accordance with the sixth aspect, the present application provides a device for optimizing coverage and capacity. The device includes modules configured to implement a method in either the third aspect or an implementation of the third aspect, each module may be implemented in hardware and / or software form.

[0105] For example, the device may include a transceiver module. The transceiver module is configured to transmit sixth information, which includes at least one of the following: terminal device path information, terminal device channel quality measurement information, and terminal device service information.

[0106] Referring to the sixth aspect, in a possible implementation, the transceiver module is further configured to transmit seventh information, which is information after the CCO setting has been applied to the first network device in the second period, and includes at least one of the following: terminal device path information, terminal device channel quality measurement information, and terminal device service information.

[0107] In accordance with the seventh aspect, the present application provides a coverage and capacity optimization apparatus, including a processor. The processor may be coupled to memory and configured to execute instructions in memory to implement a method in the first aspect or any one of the possible implementations of the first aspect. Optionally, the apparatus further includes memory. Optionally, the apparatus further includes a communication interface, and the processor is coupled to the communication interface.

[0108] Optionally, the device may be a base station, or a CU, DU, or OAM in a base station, or a chip used in a base station, or a CU, DU, or OAM in a base station.

[0109] In accordance with the eighth aspect, the present application provides a coverage and capacity optimization apparatus, including a processor. The processor may be coupled to memory and configured to execute instructions in memory to implement a method in the second aspect or any one of the possible implementations of the second aspect. Optionally, the apparatus further includes memory. Optionally, the apparatus further includes a communication interface, and the processor is coupled to the communication interface.

[0110] Optionally, the device may be a base station, or a CU, DU, or OAM in a base station, or a chip used in a base station, or a CU, DU, or OAM in a base station.

[0111] In accordance with the ninth aspect, the present application provides a device for optimizing coverage and capacity, including a processor. The processor may be coupled to memory and configured to execute instructions in memory to implement a method in the third aspect or any one of the possible implementations of the third aspect. Optionally, the device further includes memory. Optionally, the device further includes a communication interface, and the processor is coupled to the communication interface.

[0112] The device may optionally be a terminal device, or a chip used in a terminal device.

[0113] In accordance with the tenth aspect, the present application provides a communication system. The system includes the device in the fourth or seventh aspect, the device in the fifth or eighth aspect, and the device in the sixth or ninth aspect.

[0114] In accordance with the eleventh aspect, the present invention provides a computer-readable medium. The computer-readable medium stores program code to be executed by a device, the program code including instructions to perform any one of the methods in the first aspect, the second aspect, the third aspect, or any one of the possible implementations of the first aspect, the second aspect, or the third aspect.

[0115] In accordance with the twelfth aspect, the present application provides a computer program product including instructions. When the computer program product is executed on a computer, the computer may perform any of the methods in the first aspect, the second aspect, the third aspect, or any one of the possible implementations of the first aspect, the second aspect, or the third aspect. [Brief explanation of the drawing]

[0116] [Figure 1]This is a diagram of a network architecture according to an embodiment of the present application. [Figure 2] This is a diagram of a network architecture according to another embodiment of the present application. [Figure 3] This is a framework diagram of the application of AI to a communication system according to an embodiment of the present invention. [Figure 4] This is a schematic flowchart of the method for optimizing coverage and capacity according to Embodiment 1 of the present invention. [Figure 5] This is a schematic flowchart of the method for optimizing coverage and capacity according to Embodiment 2 of the present invention. [Figure 6] This is a schematic flowchart of the method for optimizing coverage and capacity according to Embodiment 3 of the present invention. [Figure 7] This is a schematic flowchart of the method for optimizing coverage and capacity according to Embodiment 4 of the present invention. [Figure 8] This is a schematic flowchart of the method for optimizing coverage and capacity according to Embodiment 4 of the present invention. [Figure 9] This is a diagram showing the structure of a device for optimizing coverage and capacity according to an embodiment of the present application. [Figure 10] This is a diagram showing the structure of a device for optimizing coverage and capacity according to another embodiment of the present application. [Modes for carrying out the invention]

[0117] The attached drawings above illustrate specific embodiments of the present application, and a more detailed description is given below. The attached drawings and specification are not intended in any way to limit the scope of the ideas of the present application, but are intended to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments.

[0118] Exemplary embodiments are described herein, and examples of these exemplary embodiments are presented in the accompanying drawings. Where the following description relates to the accompanying drawings, unless otherwise specified, the same number in different accompanying drawings represents the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations in accordance with the present application. In contrast, the implementations are merely elements of apparatus and methods that are described in detail in the accompanying drawings and are consistent with some aspects of the present application.

[0119] Coverage and capacity optimization (CCO) is a crucial aspect of network deployment, planning, and optimization, used to detect, mitigate, or resolve cell coverage or cell edge interference issues.

[0120] A next-generation radio access network (NG-RAN) node may perform CCO (Coverage Control Order) within the limits permitted by the network coverage settings. For example, after determining that a coverage and capacity problem is occurring, a base station (next-generation network NodeB, gNB) may select an appropriate CCO setting from pre-set settings based on the current coverage and capacity or coverage requirements to optimize and adjust the base station's coverage and capacity.

[0121] Optionally, CCO settings may be transmitted to base stations in the form of a list by operation, administration and maintenance (OAM).

[0122] CCO settings typically include parameter settings related to network coverage and the specific adjustment ranges for those parameters. For example, CCO settings might include the cell global identity (CGI) for each cell at a base station, the coverage status indicator for each cell, the index identifier for the synchronization signal / physical broadcast channel block (SS (synchronization signal) / PBCH block, SSB) within each cell, and the coverage status indicator for each SSB.

[0123] An NG-RAN node may further transmit its adjustment results to neighboring NG-RAN nodes using an NG-RAN node configuration update message, which in turn allows the neighboring nodes to perform the corresponding adjustments and feed the corresponding adjustment results back to the node in question.

[0124] For example, if a nearby station determines that there are a large number of terminal devices that need to be serviced at a cell edge in a particular direction on the horizontal plane, the nearby station will broaden its coverage area in that direction by increasing downlink power, adjusting the SSB direction and width, or by other means. Alternatively, if a nearby station determines that there are a large number of terminal devices that need to be serviced at a cell edge in a particular direction on the vertical plane, the nearby station will broaden its coverage area in that direction by adjusting the antenna elevation angle, adjusting the SSB direction, or by other means.

[0125] NG-RAN node configuration update messages may take the form of a list. The list may include the CGI for each cell that needs to be changed, the coverage status indicator for each cell, and the SSB index identifier and coverage status indicator for each cell that needs to be changed. The coverage status indicator may indicate neighboring nodes that receive NG-RAN configuration update messages in order to use CCO settings that match the CCO settings of neighboring cells when tuning the mobility robustness optimization function.

[0126] However, the method described above is reactive. That is, after determining that there is a coverage problem, the base station selects a CCO setting that can satisfy the current coverage requirements. Therefore, there is a delay between the time the base station makes the CCO setting and the start of the coverage problem at the base station. During this delay, the base station's coverage requirements may change. As a result, the CCO setting may not satisfy the delayed coverage requirements, and communication of terminal devices at the base station is affected (e.g., interrupted).

[0127] Furthermore, with the aforementioned method, when determining the CCO setting, the station only considers its own coverage requirements. As a result, after neighboring stations have made the necessary adjustments, coverage problems may still exist at those neighboring stations.

[0128] In light of this, the present invention provides a method and apparatus for optimizing coverage and capacity. Potential coverage and capacity or coverage area issues that may exist in the future at a base station are predicted by using artificial intelligence (AI) to determine appropriate CCO settings, and the results and reasons for adjustments with richer content are communicated to nearby stations to ensure that nearby stations can perform appropriate CCO adjustments.

[0129] The technical solutions provided in embodiments of the present application are applicable to multiple communication systems, such as 5G network systems or future communication systems. For example, Figure 1 is a diagram of a network architecture according to an embodiment of the present application. As shown in Figure 1, the network architecture includes a core network (CN) device 110, a RAN device (e.g., RAN device 121 or RAN device 122), and terminal devices (e.g., terminal device 131 or terminal device 132).

[0130] Terminal devices may be simply called terminals and may be wireless or wired terminals. For example, a wireless terminal may be a device that provides voice and / or data connectivity to a user, a handheld device with wireless connectivity, or another processing device connected to a wireless modem. A wireless terminal may communicate with one or more CN devices via a RAN device. A wireless terminal may be a mobile terminal, e.g., a mobile phone (or "cellular" phone), or a computer with a mobile terminal, e.g., a portable, pocket-sized, handheld, computer-integrated, or in-vehicle mobile device. A wireless terminal may exchange language and / or data with the RAN, for example, by exchanging language and / or data with the RAN via a device such as a personal communication service (PCS) phone, a cordless phone, a session initiation protocol (SIP) phone, a wireless local loop (WLL) station, or a personal digital assistant (PDA). A wireless terminal may also be called a system, subscriber unit (SU), subscriber station (SS), mobile station (MS), mobile, remote station (RS), access point (AP), remote terminal (RT), access terminal (AT), user terminal (UT), user agent (UA), user device (UD), or user equipment (UE).

[0131] In embodiments of the present invention, the device configured to implement the functions of a terminal device may be a terminal device, or a chip system, hardware circuitry, and / or software module installed in a terminal device.

[0132] A RAN device is a node or device that can connect terminals to a wireless network, and a RAN device may also be called a network device or base station. For example, a RAN device includes, but is not limited to, a base station, a 5G next-generation node B (gNB), an evolved node B (eNB), a radio network controller (RNC), a node B (NB), a base station controller (BSC), a base transceiver station (BTS), a home base station (e.g., a home evolved node B or home node B), a baseband unit (BBU), a transmission / reception point (TRP), a transmission point (TP), a mobile switching center, and / or similar. Alternatively, a RAN device may be at least one of the following in a cloud radio access network (CRAN) scenario: a radio controller, a central unit (CU), a distributed unit (DU), a CU control plane (CU-CP) node, and a CU user plane (CU-UP) node. Alternatively, a RAN device may be a relay station, an access point, an in-vehicle device, a terminal, a wearable device, a RAN device in a future 5G network, a RAN device in a future evolved public land mobile network (PLMN), etc.

[0133] In embodiments of the present invention, the device configured to implement the functions of a RAN device may be a RAN device, or a chip system, hardware circuitry, and / or software module installed on a RAN device.

[0134] In embodiments of the present application, a base station is used as a RAN device to describe the technical solution provided in embodiments of the present application.

[0135] For example, Figure 2 is a diagram of a network architecture according to another embodiment of the present application. As shown in Figure 2, a base station may include CUs and DUs. Multiple DUs may share a single CU, and the interface between the CU and DU may be called an F1 interface. The CU and DU may be physically separated or deployed together.

[0136] Optionally, one DU may be connected to multiple CUs.

[0137] For example, the functions of the CU and DU can be obtained by partitioning based on the protocol layer of the wireless network.

[0138] For example, a possible partitioning method is as follows: the CU is configured to perform the functions of the radio resource control (RRC) layer, the service data adaptation protocol (SDAP) layer, and the packet data convergence protocol (PDCP) layer, while the DU is configured to perform the functions of the radio link control (RLC) layer, the media access control (MAC) layer, and the physical (PHY) layer.

[0139] For example, a possible partitioning method is as follows: CU is configured to perform the functions of the RRC layer, SDAP layer, and PDCP layer, and may also perform some of the functions of the RLC layer, while DU is configured to perform the remaining functions of the RLC layer, as well as the functions of the MAC layer and PHY layer.

[0140] In another design, the functionality of a CU or DU may be acquired by partitioning based on the service type or other system requirements. For example, partitioning may be based on delay. Functions where processing time must satisfy delay requirements are assigned to the DU, and functions where processing time does not need to satisfy delay requirements are assigned to the CU. In another design, the CU may alternatively have one or more functions of the core network. For example, the CU may be located on the network side to facilitate centralized management. In another design, the radio unit (RU) of the DU is located remotely. The RU has radio frequency functionality.

[0141] Optionally, the functions of a CU may be performed by one entity or by different entities. For example, the functions of a CU may be further divided. That is, the control plane and user plane of a CU may be separated and performed by different entities. Specifically, these different entities are the CU control plane entity (CU-CP entity) and the CU user plane entity (CU-UP). The CU-CP entity and the CU-UP entity may be coupled to a DU to jointly achieve the functions of a base station.

[0142] Optionally, the functions of a CU-CP entity may be further divided. For example, an existing CU-CP entity could be further divided into a CU-CP1 entity and a CU-CP2 entity. The CU-CP1 entity would include various radio resource management functions, while the CU-CP2 entity would include only RRC functions and PDCP-C functions (i.e., the basic functions of control plane signaling at the PDCP layer).

[0143] A CN may include one or more CN devices. A 5th generation (5G) communication system is used as an example. In this case, a CN may include an access and mobility management function (AMF) network element, a session management function (SMF) network element, a user plane function (UPF) network element, a policy control function (PCF) network element, a unified data management (UDM) network element, an application function (AF) network element, and so on.

[0144] In embodiments of the present invention, the device configured to implement the functions of the CN device may be a CN, or a chip system, hardware circuitry, and / or software module installed on the CN device.

[0145] The technical solution provided herein is a process for determining CCO settings based on AI predictions. For ease of understanding, the AI ​​technology will be described first. It should be understood that this description is not intended to limit the embodiments of the present invention.

[0146] AI is a technology that performs complex calculations by mimicking the human brain. With improvements in data storage and capabilities, AI is being applied more and more. The 3rd Generation Partnership Project (3GPP) Release 17 (R17) has approved a study item (SI) that proposes the application of AI to new radio (NR) networks to improve network performance and user experience through intelligent data collection and analysis.

[0147] For example, Figure 3 is a framework diagram for applying AI to a communication system. As shown in Figure 3, the application system includes a database (data collection), model training nodes (model training hosts), model inference nodes (model inference hosts), and actor entities.

[0148] The database is used to store data used for AI model training and data analysis, including data from gNBs, CUs, DUs, terminals, or other management entities.

[0149] The model training node can analyze or train the training data provided by the database to obtain an AI model, deploy the AI ​​model to the model inference node, and optimize and update the AI ​​model.

[0150] The model inference node uses an AI model to obtain inference results based on inference data provided by the database. These inference results are used to provide appropriate AI-based predictions for network execution or to instruct the network to make configuration adjustments.

[0151] The actor entity is configured to plan relevant configuration adjustments in a unified manner and send those adjustments to multiple execution objects (e.g., network entities) for execution. Furthermore, after the relevant settings have been applied, a specific representation of the network may be entered back into the database for storage.

[0152] An AI module is a module equipped with machine learning computation capabilities. In a wireless communication system, the AI ​​module is primarily configured to perform a series of AI computations, such as model establishment, learning approximation, and reinforcement learning, based on the data input to the AI ​​module. The data includes data provided by RAN devices or network performance data acquired by OAM through monitoring, such as network load and channel quality.

[0153] The AI ​​model trained by the AI ​​module may be used to predict network changes in RAN devices, such as UE trajectories and RAN device network coverage requirements. The AI ​​module can further infer prediction results from the perspective of network mobility robustness optimization based on the trained AI model to determine appropriate CCO settings.

[0154] In a wireless communication system, the AI ​​module may be located in the OAM or several UEs, in the gNB, CU, or DU, or it may be an independent network element entity AIC.

[0155] If the AI ​​module is located in the OAM, the existing northbound interface may be reused to communicate with the gNB. If the AI ​​module is located in the gNB, CU, or DU, the current interface such as F1, Xn, or Uu may be reused. The F1 interface may be used for communication between the CU and DU, the Xn interface may be used for communication between gNBs, and the Uu interface may be used for communication between RAN devices and terminals. If the AI ​​module is an independent network entity, the communication link from the AI ​​module to the OAM, RAN device, etc., needs to be re-established. The communication link may be a wired link or a wireless link.

[0156] In possible implementations, when the CU's CU-CP and CU-UP entities are separated, the CU-CP entity is typically involved in receiving the AI ​​model and subsequent AI prediction functions. When the CU-CP entity is further divided into CU-CP1 and CU-CP2 entities, the CU-CP1 entity is typically involved in receiving the AI ​​model, subsequent AI prediction functions, and generating specific interaction signaling, while the CU-CP2 entity transmits the interaction signaling.

[0157] [Embodiment 1] Embodiment 1 of the present invention provides a method for optimizing coverage and capacity. The method may be performed by an AI module, which may be located in a first network device or a third network device.

[0158] For example, the first network device may be a gNB, and the third network device may be an OAM.

[0159] Figure 4 is a schematic flowchart of a method for optimizing coverage and capacity according to Embodiment 1 of the present invention. In the method shown in Figure 4, the first network device performs a process to determine the CCO setting by AI prediction. As shown in Figure 4, the method includes at least S401, S402, and S403.

[0160] S401: Predict the first coverage and capacity of the first network device in the second period, which is slower than the first period, during the first period.

[0161] In a feasible implementation, the first coverage and capacity of the first network device in the second period can be predicted in the first period by obtaining historical information on terminals in the first network device.

[0162] Terminal history information may include terminal history path information, terminal history channel quality measurement information, and terminal history service information. Terminal history path information may include information about cells the terminal has accessed in the past and information about the time the connection to the cell was established, information about cells the terminal has camped on in the past and information about the time the terminal camped on to the cell, terminal history latitude and longitude information, terminal history travel speed information, terminal history direction information, etc. Terminal history channel quality measurement information may include terminal history downlink reference signal measurement results. Terminal history service information may include terminal history service types (e.g., voice service, video service, or quality of service (QoS) flow parameters), terminal history duration information for each service, etc.

[0163] Optionally, historical information about a terminal in the first network device may be obtained from reports reported by the terminal, such as radio link failure (RLF) reports, successful handover reports (SHR), random access channel (RACH) reports, and connection establishment failure (CEF) reports; or it may be obtained from the local server or core network of the first network device; or a specific measurement method may be configured for the terminal.

[0164] In this implementation, for example, terminal path information in the second period can be predicted based on the terminal's past path in the first network device, and terminal service information in the second period can be predicted based on the terminal's past service information, so the coverage requirements of the first network device in the second period can be predicted, terminal channel quality measurement information in the second period can be predicted based on the terminal's past channel quality measurement information, and the capacity requirements of the first network device in the second period can be predicted by referring to the service information obtained by prediction, and the first coverage and capacity of the first network device in the second period can be obtained by prediction.

[0165] It should be noted that the method for predicting the first coverage and capacity is not limited to this embodiment.

[0166] S402: Determine the first CCO setting for the first network device in the second period based on the first coverage and capacity.

[0167] In a feasible implementation, after the first coverage and capacity of the first network device in the second period are obtained by prediction, it may be determined whether the CCO settings currently applied to the first network device satisfy the first coverage and capacity. If the CCO settings currently applied to the first network device satisfy the first coverage and capacity, the CCO settings currently applied to the first network device may be used as the first CCO setting. If the CCO settings currently applied to the first network device do not satisfy the first coverage and capacity, a CCO setting that satisfies the first coverage and capacity may be selected as the first CCO setting from a pre-set set of CCO settings.

[0168] For example, if the coverage and capacity of the first network device in the second period are predicted to be greater than the coverage and capacity of the first network device in the first period, indicating that there are a large number of terminal devices that need to be provided with cell services at a cell edge in a particular direction on the horizontal plane, then a CCO configuration with a wide coverage area in that direction may be selected as the first CCO configuration, while ensuring that other coverage requirements are satisfied.

[0169] Optionally, the first CCO configuration may consist of one CCO configuration or multiple CCO configurations. Multiple CCO configurations are applicable to the coverage and capacity of the first network device over multiple periods within the second period.

[0170] For example, if the second period is from 19:00 to 19:30, then setting 1 in the first CCO setting is applicable to the period from 19:00 to 19:10, and setting 2 is applicable to the period from 19:10 to 19:30.

[0171] In this implementation, optionally, the CCO settings currently applied to the second network device may be further obtained, and in order to improve the accuracy and appropriateness of the first CCO settings, it may be determined whether the current CCO settings satisfy the first coverage and capacity based on the CCO settings currently applied to the first network device and the CCO settings currently applied to the second network device.

[0172] The second network device may be a device of the same type adjacent to the first network device. For example, if the first network device is gNB1, the second network device may be gNB2 adjacent to gNB1. The adjacency of the first network device to the second network device can be understood as the service area of ​​the first network device being adjacent to or overlapping with the service area of ​​the second network device.

[0173] Optionally, after the first CCO setting for the first network device in the second period has been determined, the CCO settings previously applied to the first network device, and the network performance when each CCO setting is applied to the first network device, may be further obtained in order to predict the network performance when the first CCO setting is applied to the first network device and to further determine the appropriateness of the first CCO setting. Network performance may include information such as the call drop rate of terminals in the cell or at the cell edge of the first network device, the access success rate of terminals, or the average access delay of terminals when the CCO setting is applied to the first network device.

[0174] S403: Sends the first information indicating the first CCO setting to the second network device.

[0175] In this embodiment, after the first CCO setting of the first network device in the second period is determined, first information indicating the first CCO setting may be transmitted to the second network device via the Xn interface or NG interface, so that the second network device can adjust its CCO setting based on the first CCO setting to satisfy the coverage and capacity requirements of the second network device.

[0176] In this embodiment, optionally, if the method is performed by a third network device, the third network device may also perform S401, S402, and S403. When performing S403, the third network device may further transmit information indicating the first CCO setting to the first network device. This allows the first network device to perform CCO adjustment based on the first CCO setting.

[0177] In this embodiment, the coverage and capacity requirements of the first network device at a second time point are predicted at the first time point using the prediction function of the AI ​​module, and the CCO settings of the first network device at a second time point are determined based on the coverage and capacity requirements at the second time point. This avoids delay issues that occur when performing CCO based on current coverage and capacity only after the base station has determined that a coverage and capacity problem is occurring, and improves the communication quality of terminals in the first network device.

[0178] [Embodiment 2] Embodiment 2 of the present invention provides a method for optimizing coverage and capacity. The method may be performed by an AI module. The AI ​​module may be incorporated into an existing module of a first network device, or it may be deployed independently in the first network device.

[0179] For example, the first network device may be gNB1, and the second network device may be gNB2. Interaction may occur between gNB1 and gNB2 via the Xn interface, or via the core network NG interface. Modules for interaction between gNB1 and gNB2 may be located in gNB1, gNB1-CU, gNB2, and gNB2-CU.

[0180] As shown in Figure 5, a schematic flowchart of the coverage and capacity optimization method is provided. The method includes at least steps S501 to S508.

[0181] S501a: The sixth information is received from the terminal, and the sixth information includes at least one of the following: terminal device path information, terminal device channel quality measurement information, and terminal device service information.

[0182] In this embodiment of the present application, for the sake of ease of description, a terminal in the first network device is referred to as the first terminal, and a terminal in the second network device is referred to as the second terminal.

[0183] Optionally, the terminal's path information may include the terminal's past path information and / or the terminal's predicted path information; the terminal's channel quality measurement information may include the terminal's past channel quality measurement information and / or the terminal's predicted channel quality measurement information; and the terminal's service information may include the terminal's past service information and / or the terminal's predicted service information.

[0184] The predicted path information, predicted channel quality measurement information, and predicted channel quality measurement information of the terminal may be obtained by the terminal by prediction based on the terminal's past path information, past channel quality measurement information, and past service information, respectively, or may be obtained by the first network device or the second network device by prediction based on the terminal's received past path information, past channel quality measurement information, and past service information.

[0185] In this embodiment, the first terminal may transmit path information, channel quality measurement information, and service information to the first network device. Accordingly, the first network device may receive the information transmitted by the first terminal. The second terminal may directly transmit path information, channel quality measurement information, and service information to the first network device. Accordingly, the first network device may receive the information transmitted by the second terminal.

[0186] In this embodiment, the first network device may optionally periodically instruct the first and / or second terminals to transmit sixth information, and the execution period can be pre-configured.

[0187] S501b: The second network device receives sixth information, which includes at least one of the following: the CCO settings currently applied to the cell in the second network device, the call drop rate of the second terminal, the access success rate of the second terminal, and the average access delay of the second terminal.

[0188] The terminal call drop rate is the call drop rate for terminals within a cell or at the cell edge.

[0189] The CCO configuration for the second network device may include a list of cell CGIs on the second network device, the number (index) of the CCO configuration currently applied and / or to be applied to each cell, a list of SSBs for each cell, and a coverage status indicator for each SSB.

[0190] In this embodiment, the second network device may transmit to the first network device information such as the CCO settings currently applied to the cell in the second network device, the call drop rate of the second terminal collected by the second network device, the access success rate of the second terminal, and the average access delay of the second terminal. Accordingly, the first network device receives the information transmitted by the second network device.

[0191] Optionally, the sixth information transmitted by the second network device may further include path information, channel quality measurement information, and service information of the second terminal. For example, the second terminal transmits its path information, channel quality measurement information, and service information to the second network device, and the second network device forwards the path information, channel quality measurement information, and service information to the first network device.

[0192] It should be understood that the CCO settings currently applied to the cell in the first network device, the call drop rate of the first terminal collected by the first network device, the access success rate of the first terminal, and the average access latency of the first terminal can be obtained directly from the local server of the first network device.

[0193] Optionally, the second network device may further transmit to the first network device the requirements of the second network device or the cell in the second network device regarding the precision or accuracy of information such as the access success rate of the second terminal within the cell / at the cell edge, the average access delay of the second terminal, and the call drop rate of the second terminal.

[0194] In this embodiment, the first network device may optionally periodically prompt the second network device to transmit sixth information, and the execution period can be pre-configured.

[0195] S502: Predict the first coverage and capacity of the first network device in the second period, which is later than the first period, during the first period.

[0196] In this embodiment, the first coverage and capacity of the first network device in the second period can be predicted in the first period based on the sixth information obtained from the terminal.

[0197] For specific details on the implementation of S502, please refer to S401. Further details will not be provided here.

[0198] Optionally, the first coverage and capacity may be obtained by prediction based on an AI model, and the AI ​​model may be a neural network model.

[0199] For example, the data received in S501a and S501b may be input into an AI model, thereby allowing the first coverage and capacity to be obtained through prediction. For the sake of clarity, the data received in S501a and S501b may be referred to as input data in the prediction process.

[0200] In this embodiment, when the first coverage and capacity of the first network device in the second period are predicted, information about the second terminal is considered in addition to information about the first terminal. Therefore, terminals in the second network device can move to the second network device for access. Therefore, requirements for increasing the coverage and capacity of the first network device are considered. This improves the accuracy of predicting the first coverage and capacity.

[0201] S503: Determine the first CCO setting for the first network device in the second period based on the first coverage and capacity.

[0202] For specific details on the implementation of S503, please refer to S402. Further details will not be provided here.

[0203] S504: Sends the first information indicating the first CCO setting to the second network device.

[0204] In this embodiment, after the first CCO setting of the first network device in the second period is determined, first information indicating the first CCO setting may be transmitted to the second network device via the Xn interface or NG interface, so that the second network device can adjust its CCO setting based on the first CCO setting to satisfy the coverage and capacity requirements of the second network device.

[0205] In a possible implementation, the second information may be further transmitted to a second network device to indicate that the first CCO setting was determined by prediction, thereby enabling the second network device to determine the appropriateness of the prediction.

[0206] In this implementation, the second piece of information may optionally be independent information that explicitly indicates that the first CCO setting was obtained by prediction.

[0207] For example, the second information may be independent directional information such as text, numbers, symbols, or graphs agreed upon with the second network device. After receiving the second information, the second network device may determine that the first CCO setting has been obtained based on prediction.

[0208] Optionally, the second information may be independent bit information to indicate to the second network device that the first CCO setting was obtained based on prediction.

[0209] In this implementation, optionally, multiple CCO settings may be sent to implicitly indicate that the CCO settings were obtained based on predictions. For example, the first CCO setting may contain M CCO settings, where M is a positive integer greater than 1. In this example, the second information is M.

[0210] In this implementation, the second information may optionally be content included in the first information. For example, the first information may include at least one of the following: the number of the first CCO setting, the number of the cell to which the first CCO setting applies, the first CCO setting, the effective time of the first CCO setting, the reason for applying the first CCO setting, the expected effect of applying the first CCO setting, and the predictive accuracy of the first CCO setting.

[0211] Optionally, the first information may be transmitted to the second network device in the form shown in the table below. [Table 1]

[0212] The number of the first CCO setting may be the number x of one or more CCO settings applied to each cell in the first network device, and may be a pre-set CCO setting number. The number y of the cell to which the first CCO setting applies may be the cell's CGI. The effective time of the first CCO setting may be understood as the start and end times when the first CCO setting is executed in the cell in the first network device. Reasons for applying the first CCO setting may include the current limited coverage or capacity of the first access network device or the cell in the first access network device in a particular direction, caused by terminal access at the cell edge in the first network device, the limited horizontal or vertical width and limited azimuth angle of the cell's SSB, the expected excessively large number of terminals for access, and the increasing service type / lifetime of terminals, as well as adjustments to the horizontal or vertical width of the SSB within the cell. The expected effects may include information such as the expected call drop rate or the expected percentage reduction in the call drop rate for terminals in the first network device, the access success rate or the percentage increase in the success rate, the average access delay or the percentage reduction in the access delay or a specific time, and the success guarantee rate or the percentage increase in the success rate of terminal services. Predictive accuracy may be the historical accuracy of predicting the coverage and capacity requirements of the first access network device, or the predictive accuracy that can be achieved by referencing an AI model using currently acquired information about the first access network device, or the satisfaction level indicating that a CCO setting determined in the past based on the predicted coverage and capacity requirements can satisfy the requirements, or other unit quantities used to indicate the accuracy of the prediction results. This is not limited to this solution.

[0213] Optionally, the first information may further include input data in the prediction process, an AI model used in the prediction process, the number of the AI ​​model, and the parameters of the AI ​​model.

[0214] Optionally, the first information may further include CCO settings that are applied to cells in a second network device, obtained by predicting changes in coverage and capacity requirements of the second network device, and determined based on the information obtained by the prediction.

[0215] For example, the second coverage and capacity of the second network device in the second period are predicted in the first period, the second CCO setting of the second network device in the second period is determined based on the second coverage and capacity, and then third information indicating the second CCO setting is sent to the second network device.

[0216] For specific details on determining the second CCO setting of the second network device during the second period, please refer to the implementation of determining the first CCO setting of the first network device during the second period in the previously described embodiment. Further details will not be provided here.

[0217] S505: The fourth piece of information is received from the second network device, and the fourth piece of information indicates feedback information from the first network device based on the first CCO setting.

[0218] After determining that the received first CCO setting was determined based on predictions, the second network device may respond in the following ways based on the received information, such as the reason for the change, the expected effect, the accuracy of the prediction, and the input data in the prediction process.

[0219] Method 1: The second network device accepts the application of the first CCO setting to the first network device during the second period, transmits the fourth information to the first network, and the fourth information indicates the CCO setting determined by the second network device for the second network device.

[0220] In this method, for example, the second network device may send a bit to the first network device to indicate that the application of the first CCO setting to the first network device during the second period has been accepted, and after determining the CCO setting for the second network device based on the first CCO setting and the coverage and capacity of the second network device, it may send the adjustment result to the first network device. For information on the adjustment result, please refer to the table in S504.

[0221] Optionally, if the first CCO configuration includes multiple CCO configurations, the second network device may accept the application of only some of the CCO configurations from the first CCO configuration to the first network device during the second period and provide corresponding feedback.

[0222] Optionally, the coverage and capacity of the second network device may be obtained by prediction by the first network device and transmitted to the second network device, or may be obtained by prediction by the second network device.

[0223] Optionally, a CCO setting determined by the second network device for the second network device may be a second CCO setting applied to the second network device during a second period, a CCO setting for other periods including the second period, or a CCO setting for several periods within the second period. This is not limited to the present invention.

[0224] Optionally, the second CCO setting applied to the second network device during the second period may be determined by the first network device for the second network device based on predictions.

[0225] In possible implementations, the CCO setting determined by the second network device for the second network device may be one CCO setting or multiple CCO settings. Furthermore, the number of CCO settings determined by the second network device is independent of the number of CCO settings in the first CCO setting.

[0226] Optionally, if both the first CCO setting and the second network device CCO setting consist of multiple settings, the relationship between both the effective time for which the first CCO setting is applied to cells in the first network device and the number of CCO settings within the first CCO setting, and both the effective time for which the CCO setting is applied to cells in the second network device and the number of CCO settings, may be one-to-one, one-to-many, or many-to-one.

[0227] For example, one CCO setting being applied to a cell on a first network device for one period may correspond to multiple CCO settings being applied to a cell on a second network device for the same period, or multiple CCO settings being applied to a cell on a second network device for multiple different periods.

[0228] For example, cell Y in the first network device may use setting 1 in the first CCO setting during period 1, and cell Z in the second network device may use settings 1 and 2 in the CCO setting during period 1, or cell Z in the second network device may use setting 1 in the CCO setting during period 2, and period 2 may include period 1.

[0229] When optionally transmitting fourth information to the first network device, the second network device may implicitly or explicitly indicate whether the adjustment result fed back by the second network device is obtained by prediction.

[0230] Method 2: The second network device does not accept the application of the first CCO setting to the first network device during the second period, sends fourth information to the first network, and the fourth information is used to request that the CCO setting be re-determined.

[0231] In this method, the second network device considers that the precision and accuracy of the first CCO settings and / or second CCO settings determined by the first network device based on predictions do not satisfy the requirements of the second network device. Therefore, the second network device may request the first network device to re-determine the first CCO settings and / or second CCO settings.

[0232] Optionally, if the first CCO configuration and / or the second CCO configuration includes multiple CCO configurations, the second network device may request the first network device to re-determine only one or more CCO configurations among the first CCO configuration and / or the second CCO configuration that do not satisfy the requirements of the second network device.

[0233] In a possible implementation, the second network device may transmit to the first network device reinference instructions, the reasons for reinference, the precision, accuracy, and coverage and capacity optimization requirements that the second network device expects to meet in the first CCO configuration and / or the second CCO configuration, the estimated time for the first network device to complete the reinference, or other data that may help the first network device make predictions and inferences.

[0234] In other possible implementations, the second network device may make further predictions based on the input data used by the first network device in the process of determining the first CCO settings and / or the second CCO settings by prediction, as well as received information such as the AI ​​model used or the number of the AI ​​model, and the parameters of the AI ​​model.

[0235] In this implementation, if the precision and accuracy of the first CCO settings and / or second CCO settings obtained by prediction by the second network device are higher and more effective than the precision and accuracy of the results obtained by prediction by the first network device, the first CCO settings and / or second CCO settings determined by prediction may be transmitted to the first network device.

[0236] S506: The first and second network devices determine the final CCO settings.

[0237] In this embodiment, the first network device interacts with the second network device based on fourth information transmitted by the second network device in order to determine the CCO settings that will ultimately be applied to the first network device and / or the second network device. Specifically, this includes the following methods:

[0238] Regarding Method 1 of S505, the first network device and the second network device reach an agreement, and the first network device and the second network device separately adjust coverage and capacity based on the determined CCO settings.

[0239] With respect to Method 2 of S505, in a possible implementation, until the first and second network devices reach an agreement, the first network device predictively re-determines the first CCO setting and / or the second CCO setting based on information such as the re-inference instruction information transmitted by the second network device, the reason for the re-inference, the precision, accuracy, and coverage and capacity optimization requirements expected by the second network device, the estimated time for the first network device to complete the re-inference, or other data that helps the first network device to make predictions and inferences, and transmits the results obtained by prediction to the second network device.

[0240] With respect to Method 2 of S505, in another possible implementation, the first network device and the second network device reach an agreement if the first network device accepts the first CCO settings and / or second CCO settings determined by the second network device by prediction, or until the first and second network devices reach an agreement, the first network device re-determines the first CCO settings and / or second CCO settings by prediction and transmits the first CCO settings and / or second CCO settings to the second network device, or the first network device indicates to the second network device that the first result obtained by the first network device by prediction will be used. The first result is the first CCO settings and / or second CCO settings obtained by the first network device by prediction in S503.

[0241] S507a: The terminal receives seventh information, which is information after the CCO setting has been applied to the first network device in the second period, and includes at least one of the following: terminal path information, terminal channel quality measurement information, and terminal service information.

[0242] S507b: The second network device receives seventh information, which is information after the CCO settings have been applied to the first network device in the second period, and includes at least one of the following: the CCO settings currently applied to the cell in the second network device, the terminal call drop rate, the terminal access success rate, and the terminal average access delay.

[0243] For specific implementations of S507a and S507b in this embodiment, please refer to S501a and S501b. Further details are not described here. However, the information obtained in S507a and S507b is information after the CCO settings have been applied to the first network device in the second period.

[0244] Optionally, the first network device may collect the above data based on the validity period during which the CCO setting is applied to a cell in the first or second network device. For example, the first network device may request the second network device to collect data such as the access success rate and average access delay of terminals in cell y in the second network device when the CCO setting x is applied to a cell for a period of 1.

[0245] Optionally, the first network device may periodically instruct the first terminal, the second terminal, or the second network device to transmit the seventh information, and the execution period may be pre-configured. For example, the first network device may indicate a specific threshold to the second network device. If the CCO setting x is applied to cell y in the second network device during period 1, and the access success rate within the cell falls below the threshold, the second network device transmits the seventh information to the first network device.

[0246] S508: Optimize the neural network model based on the seventh piece of information.

[0247] In this embodiment, if the actual coverage and capacity requirement change data for cells in the first network device or the second network device, included in the seventh information received by the first network device, does not match the data obtained by prediction, the first network device may train and optimize the neural network model based on the actual data.

[0248] The specific model training and optimization processes are not limited to this solution.

[0249] In this embodiment, the first network device acquires information about the first terminal, the second terminal, and the second network device during the first period, uses this information as input to an AI model, and can predict changes in the coverage and capacity requirements of the first or second network device during the second period, thereby determining appropriate first and / or second CCO settings. This avoids delay issues that would occur if CCO were performed based on current coverage and capacity only after the base station has determined that coverage and capacity problems are occurring. Richer adjustment results and reasons are transmitted to the second network device, thereby enabling the second network device to perform appropriate CCO adjustments based on the first CCO settings of the first network device, and through interaction with the second network device, a CCO adjustment solution that can be used for future changes in the radio environment can be jointly implemented. Furthermore, the AI ​​model can be optimized based on actual changes in coverage and capacity requirements acquired based on feedback.

[0250] Furthermore, this technical solution allows the first and second network devices to exchange multiple CCO settings and corresponding validity periods simultaneously, thereby reducing the number of interactions and lowering signaling overhead.

[0251] [Embodiment 3] Embodiments of the present invention provide a method for optimizing coverage and capacity. The method may be performed by an AI module. The AI ​​module may be integrated into an existing module of a third network device, or it may be deployed independently in the third network device. Alternatively, the AI ​​module may be used independently as a third network device.

[0252] The difference from Embodiment 2 is that in Embodiment 2, the AI ​​module is located in the first network device, whereas in Embodiment 3, the AI ​​module is located in the third network device, and the third network device performs the process of determining the CCO setting by AI prediction.

[0253] For example, the third network device may be an OAM, the first network device may be a gNB1, the second network device may be a gNB2, and gNB1 and gNB2 may be adjacent devices. Interaction may occur between gNB1 and gNB2 via an Xn interface, or via a core network NG interface. Interaction modules between gNB1 and gNB2 may be located in gNB1, gNB1-CU, gNB2, and gNB2-CU. The interaction interface between the OAM and gNBs is typically implemented by an internal agreement between the device vendor and the operator, but is not limited thereto.

[0254] As shown in Figure 6, a schematic flowchart of the coverage and capacity optimization method is provided. The method includes at least steps S601 to S608.

[0255] S601a: The system receives sixth information from the first network device, which includes at least one of the following: path information of the first terminal, channel quality measurement information of the first terminal, service information of the first terminal, CCO settings currently applied to the cell in the first network device, call drop rate of the first terminal, access success rate of the first terminal, and average access delay of the first terminal.

[0256] Optionally, the path information of the first terminal may include the past path information of the first terminal and / or the predicted path information of the first terminal; the channel quality measurement information of the first terminal may include the past channel quality measurement information of the first terminal and / or the predicted channel quality measurement information of the first terminal; and the service information of the first terminal may include the past service information of the first terminal and / or the predicted service information of the first terminal.

[0257] The first terminal's predicted path information, first predicted channel quality measurement information, and first predicted service information may be obtained by the first terminal through prediction based on the first terminal's past path information, past channel quality measurement information, and past service information, respectively, and transmitted to the first network device, or they may be obtained by the first network device through prediction based on the past path information, past channel quality measurement information, and past service information received by the first terminal.

[0258] In this embodiment, the first terminal may transmit path information, channel quality measurement information, and service information to the first network device, and the first network device forwards the path information, channel quality measurement information, and service information to the third network device. Accordingly, the third network device may receive the information transmitted by the first network device.

[0259] The first network device may transmit to the third network device information such as the CCO settings currently applied to the cell in the first network device, the call drop rate of the first terminal collected by the first network device, the access success rate of the first terminal, and the average access delay of the first terminal. Accordingly, the third network device receives the information transmitted by the first network device.

[0260] Optionally, the third network device may periodically instruct the first network device to transmit sixth information, and the execution period may be predetermined.

[0261] S601b: The second network device receives sixth information, which includes at least one of the following: path information of the second terminal, channel quality measurement information of the second terminal, service information of the second terminal, CCO settings currently applied to the cell in the second network device, call drop rate of the second terminal, access success rate of the second terminal, and average access delay of the second terminal.

[0262] For specific details on the implementation of S601b, please refer to S601a. ​​Further details will not be provided here.

[0263] In possible implementations, if there is no direct interaction interface between the third network device and the second network device, the third network device may instruct the first network device to retrieve relevant data from the second network device via the Xn interface or NG interface. When requesting data from the second network device, the first network device must indicate to the second network device that the data request is from the third network device and that the data request is to be used to predict the CCO configuration information.

[0264] For the sake of clarity, the data received in S601a and S601b may be referred to as input data in the prediction process.

[0265] S602: In the first period, predict the first coverage and capacity of the first network device in the second period, which is later than the first period, and predict the second coverage and capacity of the second network device in the second period.

[0266] In this embodiment, the first coverage and capacity of the first network device in the second period can be predicted in the first period based on the sixth information obtained from the first network device, and the second coverage and capacity of the second network device in the second period can be predicted in the first period based on the sixth information obtained from the second network device.

[0267] For the specific implementation of S602, please refer to S502. Details are not described here again.

[0268] S603: Determine the first CCO setting of the first network device in the second period based on the first coverage and capacity, and determine the second CCO setting of the second network device in the second period based on the second coverage and capacity.

[0269] For the specific implementation of S603, please refer to S402. Details are not described here again.

[0270] S604a: Transmit the first CCO setting to the first network device.

[0271] In this embodiment, after the first CCO setting of the first network device in the second period is determined, the first CCO setting can be transmitted to the first network device.

[0272] Optionally, the third network device may further transmit other information to the first network device so as to implicitly or explicitly indicate that the first CCO setting is determined based on prediction, whereby the first network device can determine the appropriateness of the prediction and adjust the CCO setting of the first network device based on the first CCO setting.

[0273] S604b: Transmit the second CCO setting to the second network device.

[0274] In this embodiment, after the second CCO setting of the second network device in the second period is determined, the second CCO setting may be transmitted to the second network device.

[0275] Optionally, the third network device may transmit additional information to the second network device to implicitly or explicitly indicate that the second CCO setting was determined based on predictions, thereby enabling the second network device to determine the appropriateness of the predictions and adjust its own CCO setting based on the second CCO setting.

[0276] In several possible implementations, a third network device may send the CCO settings determined by AI prediction to each network device. For example, the first CCO setting may be sent only to the first network device, and the second CCO setting may be sent only to the second network device. Alternatively, the CCO settings determined by AI prediction are forwarded by one network device to another. For example, both the first and second CCO settings may be sent to the first network device, and the second CCO setting may be forwarded by the first network device to the second network device. Alternatively, all CCO settings may be sent to each network device. For example, if the first CCO setting of the first network device is determined by prediction, and the first network device is adjacent to the second network device, then both the first and second CCO settings may be sent to the first network device.

[0277] For specific details on the message types or message content used to send CCO settings in S604a and S604b, please refer to S504. Further details are not provided here.

[0278] S605a: The fifth information is received from the first network device, and the fifth information indicates feedback information from the first network device based on the first CCO setting.

[0279] In this embodiment, after determining that the received first CCO setting is determined based on prediction, the first network device may send feedback information to the third network device based on the received information, such as the reason for the change, the expected effect, the accuracy of the prediction, and the input data in the prediction process.

[0280] Optionally, the fifth piece of information may include CCO settings determined by the first network device for the first network device.

[0281] Optionally, for example, if the first network device further receives the second CCO configuration transmitted by the third network device, the fifth information may further include feedback information from the first network device based on the second CCO configuration.

[0282] S605b: Receives fourth information from the second network device, and the fourth information indicates feedback information from the second network device based on the second CCO settings.

[0283] In this embodiment, after determining that the received second CCO setting is determined based on prediction, the second network device may send feedback information to the third network device based on the received information, such as the reason for the change, the expected effect, the accuracy of the prediction, and the input data in the prediction process.

[0284] Optionally, for example, if a second network device further receives the first CCO configuration transmitted by the third network device, the fourth information may further include feedback information from the second network device based on the first CCO configuration.

[0285] For specific implementation details of S605a and S605b, please refer to S505. Further details are not provided here.

[0286] Optionally, the second network device may further transmit to the first network device any fourth information that needs to be sent to the third network device, and the first network device forwards the fourth information to the third network device.

[0287] S606: The third network device determines the final CCO settings made by the first and second network devices, respectively.

[0288] In this embodiment, the third network device interacts with the first network device to determine the CCO settings that will ultimately be applied to the first network device in the second period, based on the fifth information transmitted by the first network device, and the third network device interacts with the second network device to determine the CCO settings that will ultimately be applied to the second network device in the second period, based on the fourth information transmitted by the second network device.

[0289] For specific details on the implementation of S606, please refer to S506. Further details will not be provided here.

[0290] Optionally, the CCO settings ultimately applied to the second network device during the second period may be determined by interaction between the first and third network devices, with the first network device sending the interaction results to the second network device.

[0291] S607a: The seventh information is received from the first network device, and the seventh information is information after the CCO settings have been applied to the first network device in the second period, and includes at least one of the following: path information of the first terminal, channel quality measurement information of the first terminal, service information of the first terminal, CCO settings currently applied to the cell in the first network device, call drop rate of the first terminal, access success rate of the first terminal, and average access delay of the first terminal.

[0292] In this embodiment, for the specific implementation of S607a, refer to S601a. Details are not described here again. However, the information obtained in S607a is the information after the CCO setting is applied to the first network device in the second period.

[0293] S607b: Receive the seventh information from the second network device. The seventh information is the information after the CCO setting is applied to the first network device in the second period, and includes at least one of the following information: the path information of the second terminal, the channel quality measurement information of the second terminal, the service information of the second terminal, the CCO setting currently applied to the cell in the second network device, the cold drop rate of the second terminal, the access success rate of the second terminal, and the average access delay of the second terminal.

[0294] In this embodiment, for the specific implementation of S607b, refer to S601b. Details are not described here again. However, the information obtained in S607b is the related information of the second network device after the CCO setting is applied to the first network device in the second period.

[0295] S608: Optimize the neural network model based on the seventh information.

[0296] In this embodiment, when the actual coverage and capacity requirement change data of the cell in the first network device or the cell in the second network device included in the seventh information received by the third network device do not match the data obtained by prediction, the third network device may train and optimize the AI model of the third network device based on the actual data.

[0297] For the specific implementation of S608, refer to S508. Details are not described here again.

[0298] In this embodiment, the third network device can acquire relevant information about the first and second network devices at a first point in time, use this information as input data for an AI model, and predict changes in coverage and capacity requirements for the first and second network devices during a second period to determine appropriate CCO settings. This avoids delay issues that occur when performing CCO based on current coverage and capacity only after the base station has determined that coverage and capacity problems are occurring, and improves the communication quality of terminal devices in the first network device. More comprehensive adjustment results and reasons are individually transmitted to the first and second network devices, thereby enabling the first and second network devices to perform appropriate CCO adjustments based on the predicted CCO settings and, through interaction with the third network device, jointly implement CCO adjustment solutions that can be used for future changes in the wireless environment.

[0299] [Embodiment 4] Embodiment 4 of the present invention provides a method for optimizing coverage and capacity applicable to a CU-DU separation network architecture. The method may be performed by an AI module. The AI ​​module may be integrated into CU1 and / or DU1 in a first network device, or it may be deployed independently of CU1 and / or DU1 in a first network device. CU1 and / or DU1 of the first network device perform a process of determining CCO settings by AI prediction.

[0300] The first network device may be gNB1, which may include CU1 and DU1. The second network device may be gNB2, which may include CU2 and DU2. Interaction between CU1 and DU1 is via the F1 interface, and interaction between CU1 and CU2 is via the Xn interface, or via the core network NG interface. Here, gNB1 and gNB2 may be adjacent devices.

[0301] In Embodiment 4, in the method shown in Figure 7, DU1 performs a process to determine the CCO setting by AI prediction, and in the method shown in Figure 8, CU1 performs a process to determine the CCO setting by AI prediction.

[0302] Figure 7 is a schematic flowchart of the method for optimizing coverage and capacity according to Embodiment 4 of the present invention. The method may include steps S701 to S708.

[0303] S701: Receives sixth information from CU1, which includes at least one of the following: terminal path information, terminal channel quality measurement information, terminal service information, CCO settings currently applied to the cell in the first network device, CCO settings currently applied to the cell in the second network device, terminal call drop rate, terminal access success rate, and terminal average access delay.

[0304] In this embodiment, please refer to S501 for details regarding the terminal. Further details are not described here.

[0305] In this embodiment, DU1 can directly obtain the path information of the first terminal, the channel quality measurement information of the first terminal, and the service information of the first terminal from CU1. The path information of the second terminal, the channel quality measurement information of the second terminal, the service information of the second terminal, the CCO settings currently applied to the cell in the second network device, the call drop rate of the second terminal collected by the second network device, the access success rate of the second terminal, and the average access delay of the second terminal can be transmitted to CU1 by CU2 and forwarded to DU1 by CU1. Accordingly, DU1 receives the sixth information transmitted by CU1.

[0306] Optionally, the CCO settings currently applied to the cell in the first network device, the call drop rate of the first terminal collected by the first network device, the access success rate of the first terminal, and the average access latency of the first terminal may be obtained directly from the local server of DU1.

[0307] Optionally, DU1 may retrieve the CCO settings currently applied to other DU cells within CU1 via CU1.

[0308] Optionally, if a first network device has multiple CUs and each CU corresponds to multiple DUs, the CCO settings currently applied to a cell in the first network device include the CCO settings currently applied to each DU cell corresponding to each CU. In this case, DU1 can obtain the CCO settings currently applied to each DU cell corresponding to each CU via CU1.

[0309] S702: Predict cell coverage and capacity in the second period, which is later than the first period, based on the first period.

[0310] For specific implementations of predicting coverage and capacity requirements in this embodiment, please refer to S502. Further details are not provided here.

[0311] In this embodiment, DU1 can predict the coverage and capacity requirements of the DU1 cells during the second period.

[0312] Optionally, DU1 may further predict the coverage and capacity requirements of other DU cells in CU1 during the second period, and DU1 may further predict the coverage and capacity requirements of cells adjacent to the DU1 cell during the second period. The adjacent cells to the DU1 cell may be cells in the first network device or cells in the second network device.

[0313] S703: Determine the cell CCO settings for the second period based on the cell coverage and capacity during the second period.

[0314] In this embodiment, for specific implementations of determining the CCO setting for each cell in the second period based on the coverage and capacity requirements obtained from the forecast for each cell in the second period, please refer to S402. Further details are not described here.

[0315] S704: Send the CCO settings for the cell in the second period.

[0316] In this embodiment, DU1 can transmit the CCO setting of the DU1 cell, determined by prediction, to CU1 via the F1 interface.

[0317] Optionally, DU1 may further transmit the predicted CCO settings of other DU cells within CU1 to CU1 via the F1 interface, and DU1 may further transmit the predicted CCO settings of cells adjacent to DU1 to CU1 via the F1 interface.

[0318] CU1 can transmit the received CCO settings from each cell to other DU cells within CU1 via the F1 interface, or it can transmit the received CCO settings to CU2 via the Xn interface or the NG interface.

[0319] Optionally, in the process by which DU1 transmits the CCO settings, it may be explicitly or implicitly indicated that the CCO settings were determined based on AI predictions.

[0320] In this embodiment, please refer to S504 for specific implementations of the message type or message content used to send the CCO settings by DU1. Further details are not provided here.

[0321] S705: Receives feedback information from the cell, and the feedback information is based on the received CCO settings.

[0322] In this embodiment, after DU1 transmits the CCO setting of the DU1 cell, determined by prediction, or the CCO setting of another DU cell, to CU1, CU1 may provide feedback to DU1 in the following manner.

[0323] Optionally, before supplying feedback to DU1, CU1 may receive feedback information on CCO settings from other cells within CU1 and / or CU2.

[0324] Method 1: CU1 accepts the CCO settings applied to the DU1 cell during the second period.

[0325] In this method, for example, CU1 may send a bit to DU1 to indicate that the CCO setting sent by DU1 via the F1 interface is accepted to be applied to the DU1 cell in the second period, and may determine the CCO settings for other DU cells based on CU1's coverage and capacity requirements and feedback information from other devices (e.g., other DUs in CU1 or CU2), and send the CCO settings for the other DU cells to each DU cell. CU1 may further feed back the CCO settings of the other DU cells to DU1. See S504 for details on the content and format of the transmission.

[0326] For specific implementation details of this method, please refer to Method 1 in S505. Further details are not provided here.

[0327] Method 2: CU1 does not accept the CCO setting applied to the DU1 cell in the second period and sends information to DU1 requesting that the CCO setting be re-determined.

[0328] In this method, CU1 considers that the precision and accuracy of the CCO settings for DU1 determined by DU1 through prediction, or the CCO settings for other DU cells within CU1 or DU cells within CU2 determined by DU1 through prediction, do not meet CU1's requirements. Therefore, CU1 requests DU1 to re-determine the corresponding CCO settings through prediction.

[0329] For specific implementation details of this method, please refer to Method 2 in S505. Further details are not provided here.

[0330] S706:DU1, CU1, and CU2 determine the final CCO settings.

[0331] For specific details on the implementation of S706, please refer to S506. Further details will not be provided here.

[0332] Optionally, the CCO settings of other DU cells within CU1 may be determined through interaction between DU1 and CU1, and the CCO settings of cells within CU2 may be determined through interaction between CU2 and CU1. This is not limited to the present invention.

[0333] S707: Receives seventh information from CU1, which is information after the CCO settings have been applied to the DU1 cell in the second period, and includes at least one of the following: terminal path information, terminal channel quality measurement information, terminal service information, CCO settings currently applied to the cell in the first network device, CCO settings currently applied to the cell in the second network device, terminal call drop rate, terminal access success rate, and terminal average access delay.

[0334] For specific implementation details of S707, please refer to S701. Further details are not provided here. However, the information obtained in S707 is relevant information after the CCO setting has been applied to the DU1 cell in the second period.

[0335] S708: Optimize the neural network model based on the seventh piece of information.

[0336] In this embodiment, if the actual coverage and capacity requirement change data of a DU1 cell or other DU cells included in the seventh information received by DU1 does not match the data obtained by prediction, DU1 may train and optimize its neural network model based on the actual data.

[0337] For specific implementation details of S708, please refer to S508. Further details will not be provided here.

[0338] Figure 8 is a schematic flowchart of another method for optimizing coverage and capacity according to Embodiment 4 of the present invention. The method may include steps S801 to S808.

[0339] S801a: Receives sixth information from DU1, which includes at least one of the following: CCO settings currently applied to the cell in the first network device, the call drop rate of the first terminal collected by the first network device, the access success rate of the first terminal, and the average access delay of the first terminal.

[0340] S801b: Receives sixth information from CU2, which includes at least one of the following: path information of the second terminal, channel quality measurement information of the second terminal, service information of the second terminal, CCO settings currently applied to the cell in the second network device, call drop rate of the second terminal collected by the second network device, access success rate of the second terminal, and average access delay of the second terminal.

[0341] In this embodiment, optionally, information such as path information of the first terminal, channel quality measurement information of the first terminal, and service information of the first terminal can be obtained directly from the local server of CU1.

[0342] In this embodiment, please refer to S501 for details regarding the terminal. Further details are not described here.

[0343] S802: Predict cell coverage and capacity in the second period, which is later than the first period, based on the first period.

[0344] For specific implementations of predicting coverage and capacity requirements in this embodiment, please refer to S502. Further details are not provided here.

[0345] In this embodiment, CU1 can predict the coverage and capacity requirements of the DU1 cells during the second period.

[0346] Optionally, CU1 may further predict the coverage and capacity requirements of other DU cells within CU1 during the second period, and CU1 may further predict the coverage and capacity requirements of DU cells adjacent to each DU cell within CU1 during the second period.

[0347] S803: Determine the cell CCO setting for the second period based on the cell coverage and capacity during the second period.

[0348] In this embodiment, for specific implementations of determining the CCO setting for each cell in the second period based on the coverage and capacity requirements obtained from the forecast for each cell in the second period, please refer to S402. Further details are not described here.

[0349] S804a: Send the cell CCO settings for the second period to DU1.

[0350] In this embodiment, CU1 can transmit the CCO settings of the DU1 cell, determined by prediction, to DU1 via the F1 interface.

[0351] Optionally, CU1 may further transmit the predicted CCO settings of other DU cells within CU1 to DU1 via the F1 interface, and CU1 may further transmit the predicted CCO settings of DU cells adjacent to each DU cell within CU1 to DU1 via the F1 interface.

[0352] S804b: Send the cell's CCO settings for the second period to CU2.

[0353] In this embodiment, CU1 may transmit the CCO settings determined by prediction for each cell to CU2 via the Xn interface or the NG interface.

[0354] In this embodiment, optionally, in the process of CU1 transmitting the CCO settings, it may be implicitly or explicitly indicated that the CCO settings were determined based on AI predictions.

[0355] In this embodiment, please refer to S504 for specific implementations of the message type or message content used to send CCO settings by CU1. Further details are not described here.

[0356] S805a: Receives feedback information from DU1.

[0357] In this embodiment, after CU1 transmits the CCO setting determined by prediction for the DU1 cell to DU1, DU1 may provide feedback to CU1.

[0358] S805b: Receives feedback information from CU2.

[0359] In this embodiment, after CU1 sends the CCO setting determined by prediction to CU2, CU2 may provide feedback to CU1.

[0360] For specific implementation details of S805a and S805b, please refer to S505. Further details are not provided here.

[0361] S806:CU1, DU1, and CU2 determine the final CCO settings.

[0362] For specific details on the implementation of S806, please refer to S506. Further details are not provided here.

[0363] Optionally, the CCO setting of a DU1 cell may be determined through interaction between DU1 and CU1, the CCO setting of other DU cells within CU1 may be determined through interaction between DU1 and CU1, or through interaction between CU1 and CU2, and the CCO setting of cells within CU2 may be determined through interaction between CU2 and CU1. This is not limited to the present invention.

[0364] S807a: Receives seventh information from DU1, which is information after the CCO setting has been applied to the DU1 cell in the second period, and includes at least one of the following: the CCO setting currently applied to the cell by the first network device, the call drop rate of the first terminal collected by the first network device, the access success rate of the first terminal, and the average access delay of the first terminal.

[0365] S807b: Receives seventh information from CU2, which is information after the CCO setting has been applied to the DU1 cell in the second period, and includes at least one of the following: path information of the second terminal, channel quality measurement information of the second terminal, service information of the second terminal, CCO setting currently applied to the cell by the second network device, call drop rate of the second terminal collected by the second network device, access success rate of the second terminal, and average access delay of the second terminal.

[0366] For specific implementation details of S807a and S807b, please refer to S801a and S801b. Further details are not provided here. However, the information obtained in S807a and S807b is relevant information after the CCO setting has been applied to the DU1 cell in the second period.

[0367] S808: Optimize the neural network model based on the seventh piece of information.

[0368] In this embodiment, if the actual coverage and capacity requirement change data of a DU1 cell or other DU cells included in the seventh information received by CU1 does not match the data obtained by prediction, CU1 may train and optimize its neural network model based on the actual data.

[0369] For specific implementation details of S808, please refer to S508. Further details are not provided here.

[0370] In possible implementations, if each of CU1 and DU1 in Embodiment 4 has the capability to determine the CCO setting by AI prediction, each of CU1 and DU1 can perform the aforementioned method independently.

[0371] In this implementation, if the method described above is used, CU1 and DU1 may transmit information such as each CCO setting determined by prediction, associated prediction input data, AI model, and AI model parameters to each other, and then determine the final CCO setting by using higher accuracy and higher precision as the decision criterion.

[0372] In this embodiment, DU1 or CU1 can use data acquired at a first time point as input to an AI model to predict future coverage and capacity changes and requirements for each cell and determine appropriate CCO settings. This avoids the delay problem of CCO optimization in the prior art. Furthermore, CCO adjustment solutions that can be used for future changes in the wireless environment are jointly implemented through interaction between DU1 and CU1. Moreover, the model can be optimized based on feedback of actual coverage and capacity requirement change data to progressively improve predictive accuracy. Furthermore, since CU1 and DU1 exchange multiple CCO settings and corresponding effective times at once, interaction efficiency can be improved and signaling overhead can be reduced.

[0373] It should be noted that the technical solutions provided in this application are not limited to the device-to-device communication scenarios and NR networks shown in the embodiments described above, but can be further extended and applied to communication requirements scenarios in which gNB local data is sent to a terminal via the user plane.

[0374] Figure 9 is a diagram showing the structure of a coverage and capacity optimization apparatus according to an embodiment of the present application. The apparatus 900 shown in Figure 9 may be configured to perform steps performed by the first network device, third network device, second network device, or terminal device in Figures 4 to 8. As shown in Figure 9, the apparatus 900 of this embodiment may include a processing module 910 and a transceiver module 920.

[0375] If the device 900 is configured to perform the method performed by the first network device in Figure 4, the processing module 910 may be configured to perform S401 and S402, and the transceiver module 920 may be configured to perform the operation performed by the first network device in S403.

[0376] If the device 900 is configured to perform the method performed by the second network device in Figure 4, the transceiver module 920 may be configured to perform the operation performed by the second network device in S403.

[0377] If the device 900 is configured to perform the method performed by the first network device in Figure 5, the processing module 910 may be configured to perform S502, S503, and S508, the processing module 910 may be further configured to perform the operation performed by the first network device in S506, and the transceiver module 920 may be configured to perform the operations performed by the first network device in S501a, S501b, S504, S505, S507a, and S507b.

[0378] If the device 900 is configured to perform the method performed by the second network device in Figure 5, the processing module 910 may be configured to perform the operation performed by the second network device in S506, and the transceiver module 920 may be configured to perform the operations performed by the second network device in S501b, S504, S505, and S507b.

[0379] If the device 900 is configured to perform the method performed by the terminal device in Figure 5, the transceiver module 920 may be configured to perform the operations performed by the terminal device in S501a and S507a.

[0380] If the device 900 is configured to perform the method performed by the third network device in Figure 6, the processing module 910 may be configured to perform S602, S603, and S608, the processing module 910 may be further configured to perform the operation performed by the third network device in S606, and the transceiver module 920 may be configured to perform the operation performed by the third network device in S601a, S601b, S604a, S604b, S605a, S605b, S607a, and S607b.

[0381] If the device 900 is configured to perform the method performed by the first network device in Figure 6, the processing module 910 may be configured to perform the operation performed by the first network device in S606, and the transceiver module 920 may be configured to perform the operations performed by the first network device in S601a, S604a, S605a, and S607a.

[0382] If the device 900 is configured to perform the method performed by the second network device in Figure 6, the processing module 910 may be configured to perform the operation performed by the second network device in S606, and the transceiver module 920 may be configured to perform the operations performed by the second network device in S601b, S604b, S605b, and S607b.

[0383] If the device 900 is configured to perform the method performed by the first network device DU1 in Figure 7, the processing module 910 may be configured to perform S702, S703, and S708, the processing module 910 may be further configured to perform the operation performed by DU1 in S706, and the transceiver module 920 may be configured to perform the operation performed by DUI in S701, S704, S705, and S707.

[0384] If the device 900 is configured to perform the method performed by the CU1 of the first network device in Figure 7, the processing module 910 may be configured to perform the operation performed by the CU1 in S706, and the transceiver module 920 may be configured to perform the operations performed by the CU1 in S701, S704, S705, and S707.

[0385] If the device 900 is configured to perform the method performed by the CU2 of the second network device in Figure 7, the processing module 910 may be configured to perform the operation performed by the CU2 in S706, and the transceiver module 920 may be configured to perform the operations performed by the CU2 in S701, S704, S705, and S707.

[0386] If the device 900 is configured to perform the method performed by the CU1 of the first network device in Figure 8, the processing module 910 may be configured to perform S802, S803, and S808, the processing module 910 may be further configured to perform the method performed by the CU1 in S806, and the transceiver module 920 may be configured to perform the operations performed by the CU1 in S801a, S801b, S804a, S804b, S805a, S805b, S807a, and S807b.

[0387] If the device 900 is configured to perform the method performed by the first network device DU1 in Figure 8, the processing module 910 may be configured to perform the operation performed by DU1 in S806, and the transceiver module 920 may be configured to perform the operation performed by DU1 in S801a, S804a, S805a, and S807a.

[0388] If the device 900 is configured to perform the method performed by the CU2 of the second network device in Figure 8, the processing module 910 may be further configured to perform the method performed by the CU2 in S806, and the transceiver module 920 may be configured to perform the operations performed by the CU2 in S801b, S804b, S805b, and S807b.

[0389] Figure 10 is a diagram showing the structure of a coverage and capacity optimization apparatus according to another embodiment of the present application. The apparatus 1000 shown in Figure 10 may be configured to implement a method performed by a first network device, a third network device, a second network device, or a terminal device in any one of the embodiments described above.

[0390] As shown in Figure 10, the apparatus 1000 of this embodiment includes a memory 1010, a processor 1020, a communication interface 1030, and a bus 1040. The memory 1010, the processor 1020, and the communication interface 1030 are interconnected via the bus 1040.

[0391] Memory 1010 may be read-only memory (ROM), a static storage device, a dynamic storage device, or random access memory (RAM). Memory 1010 can store a program. When a program stored in memory 1010 is executed by processor 1020, processor 1020 is configured to execute steps performed by the first network device, third network device, second network device, or terminal device in any one of the embodiments described above.

[0392] The processor 1020 may be a general-purpose central processing unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is configured to execute a related program and implement the coverage and capacity optimization method in the method embodiment of the present application.

[0393] The processor 1020 may alternatively be an integrated circuit chip having signal processing capabilities. In the implementation process, the steps of the method for optimizing coverage and capacity in the embodiment of the present application are completed by using instructions in the form of hardware integrated logic circuits or software within the processor 1020.

[0394] The processor 1020 may alternatively be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component that can implement or perform the methods, steps, and logic block diagrams disclosed in embodiments of the present application. The general-purpose processor may be a microprocessor, or the processor may be any conventional processor, etc.

[0395] The steps of the methods disclosed with reference to embodiments of the present application may be performed and completed directly by a hardware decoding processor, or by using a combination of hardware and software modules within the decoding processor. The software modules may reside in mature storage media of the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. The storage media is located in memory 1010. The processor 1020 reads information from memory 1010 and, in combination with hardware within the processor 1020, completes functions that need to be performed by modules included in the coverage and capacity optimization apparatus of the present application, for example, steps / functions performed by a first network device, a third network device, a second network device, or a terminal device in any of the embodiments described above.

[0396] The communication interface 1030 may, but is not limited to, use a transceiver-type transceiver device to enable communication between the device 1000 and other devices or a communication network.

[0397] Bus 1040 may include paths for transmitting information between components within the device 1000 (e.g., memory 1010, processor 1020, and communication interface 1030).

[0398] It should be noted that the modules or components shown in the embodiments described above may be configured as one or more integrated circuits for carrying out the methods described above, for example, one or more application-specific integrated circuits (ASICs), one or more microprocessors (digital signal processors, DSPs), or one or more field programmable gate arrays (FPGAs). As another example, if one of the modules described above is implemented in a way that the processing element schedules program code, the processing element may be a general-purpose processor, for example, a central processing unit (CPU), or another processor that can call program code, for example, a controller. As yet another example, these modules may be integrated and implemented together in a system-on-a-chip (SoC).

[0399] All or part of the embodiments described above may be implemented using software, hardware, firmware, software modules, or a combination thereof. When software is used in implementation, all or part of the embodiments described above may be implemented in the form of a computer program product. A computer program product includes one or more computer instructions. When a computer program instruction is loaded and executed on a computer, all or part of a procedure or function according to the embodiments of this application is generated. The computer may be a general-purpose computer, a dedicated computer, a computer network, or other programmable device. Computer instructions may be stored on a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired method (e.g., coaxial cable, optical fiber, or digital subscriber line (DSL)) or wireless method (e.g., infrared, radio waves, or microwaves). The computer-readable storage medium may be any available medium accessible to a computer, or a data storage device incorporating one or more available media, such as a server or data center. The usable media may include magnetic media (e.g., floppy disks, hard disks, or magnetic tapes), optical media (e.g., DVDs), semiconductor media (e.g., solid-state disks (SSDs)), and so on.

[0400] In this specification, the term “multiple” means two or more. In this specification, the term “and / or” indicates only the relationship between related objects, and indicates that there may be three possible relationships. For example, A and / or B may represent three relationships: A only exists, both A and B exist, or B only exists. Furthermore, in this specification, the letter “ / ” usually indicates an “OR” relationship between related objects, and the letter “ / ” in an expression indicates a “division” relationship between related objects. Furthermore, it should be understood that in the description of this application, terms such as “first” and “second” are used only for distinction and explanation and should not be understood as indicating or implying relative importance or order.

[0401] The various numbers in the embodiments of this application are used for distinction only to facilitate description and are not used to limit the scope of the embodiments of this application.

[0402] It should be understood that the sequence numbers of the aforementioned processes do not represent the execution order in the embodiments of this application. The execution order of the processes should be determined based on the function and internal logic of the processes and should not be construed as any limitation to the implementation processes of the embodiments of this application.

[0403] This application claims priority to Chinese Patent Application No. 202310364448.0, filed with the China National Intellectual Property Administration on March 31, 2023, with the title of the invention being "COVERAGE AND CAPACITY OPTIMIZATION METHOD AND APPARATUS," the entire text of which is incorporated herein by reference.

Claims

1. A method for optimizing coverage and capacity, In the first period, predict the first coverage and capacity of the first network device in the second period, which is later than the first period. Based on the first coverage and capacity, the first coverage and capacity optimization CCO settings of the first network device during the second period are determined, The first information indicating the first CCO setting is transmitted to the second network device. A method of having.

2. The aforementioned method, The system further includes transmitting to the second network device second information indicating that the first CCO setting was obtained by prediction. The method according to claim 1.

3. The second information is the content included in the first information. The method according to claim 2.

4. The first piece of information mentioned above is, The number of the first CCO setting, The cell number to which the first CCO setting is applied, The first CCO setting, The effective time of the first CCO setting mentioned above, Reasons for applying the first CCO setting, The expected effects of applying the first CCO setting, and Prediction accuracy of the first CCO setting Includes at least one of the following: The method according to claim 3.

5. The first CCO setting includes M CCO settings, where M is a positive integer greater than 1, and the second information is M. The method according to claim 2.

6. The aforementioned method, In the first period, predict the second coverage and capacity of the second network device in the second period, Based on the second coverage and capacity, the second CCO setting of the second network device during the second period is determined, The third information indicating the second CCO setting is transmitted to the second network device. It further has, The method according to any one of claims 1 to 5.

7. The aforementioned method, The system further comprises receiving from the second network device fourth information indicating the CCO settings determined by the second network device for the second network device, The method according to any one of claims 1 to 6.

8. The method further comprises receiving fourth information from the second network device, The fourth piece of information is used to request a re-determination of the CCO settings. The method according to any one of claims 1 to 6.

9. The above method is performed by the first network device. The method according to any one of claims 1 to 8.

10. The above method is performed by a third network device. The method further comprises transmitting the first CCO setting to the first network device. The method according to any one of claims 1 to 8.

11. The aforementioned method, The system further comprises receiving from the first network device a fifth information indicating the CCO settings determined by the first network device for the first network device, The method according to claim 10.

12. The method further comprises receiving sixth information, The sixth piece of information mentioned above is: Terminal device path information, Channel quality measurement information of the aforementioned terminal device, Service information of the aforementioned terminal device, The CCO settings currently applied to the cell in the first network device, The CCO settings currently applied to the cell in the second network device, The call drop rate of the aforementioned device, The success rate of access by the aforementioned terminal device, and Average access delay of the aforementioned terminal device It includes at least one of the following pieces of information: In the first period, predicting the first coverage and capacity of the first network device in the second period is: During the first period, the first coverage and capacity of the first network device are predicted based on the sixth information. The method according to any one of claims 1 to 11.

13. The aforementioned first coverage and capacity are obtained by prediction based on a neural network model. The method according to any one of claims 1 to 12.

14. The aforementioned method, The seventh information is to receive the seventh information, which is information after the CCO setting has been applied to the first network device during the second period, and includes at least one of the following: the path information of the terminal device, the channel quality measurement information of the terminal device, the service information of the terminal device, the CCO setting currently applied to the cell in the first network device, the CCO setting currently applied to the cell in the second network device, the call drop rate of the terminal device, the access success rate of the terminal device, and the average access delay of the terminal device. Optimizing the neural network model based on the seventh piece of information. It further has, The method according to claim 13.

15. A method for optimizing coverage and capacity, the method being applied to a second network device, The system includes receiving first information indicating the first coverage and capacity-optimized CCO settings of the first network device during the second period. method.

16. The aforementioned method, The system further includes receiving second information indicating that the first CCO setting was obtained by prediction. The method according to claim 15.

17. The second information is the content included in the first information. The method according to claim 16.

18. The first piece of information mentioned above is, The number of the first CCO setting, The cell number to which the first CCO setting is applied, The first CCO setting, The effective time of the first CCO setting mentioned above, Reasons for applying the first CCO setting, The expected effects of applying the first CCO setting, and Prediction accuracy of the first CCO setting Includes at least one of the following: The method according to claim 17.

19. The first CCO setting includes M CCO settings, where M is a positive integer greater than 1, and the second information is M. The method according to claim 16.

20. The aforementioned method, The system further includes receiving third information indicating the second CCO setting of the second network device during the second period. The method according to any one of claims 15 to 19.

21. The aforementioned method, The system further comprises transmitting fourth information indicating the CCO settings determined by the second network device for the second network device, The method according to any one of claims 15 to 20.

22. The aforementioned method, It further includes transmitting a fourth piece of information used to request a re-determination of the CCO settings. The method according to any one of claims 15 to 20.

23. The method further comprises transmitting sixth information, The sixth piece of information mentioned above is: Terminal device path information, Channel quality measurement information of the aforementioned terminal device, Service information of the aforementioned terminal device, The CCO settings currently applied to the cell in the first network device, The CCO settings currently applied to the cell in the second network device, The call drop rate of the aforementioned device, The success rate of access by the aforementioned terminal device, and Average access delay of the aforementioned terminal device Includes at least one of the following pieces of information: The method according to any one of claims 15 to 22.

24. The method further comprises transmitting seventh information, The seventh information is obtained after the CCO setting has been applied to the first network device during the second period. The path information of the aforementioned terminal device, Channel quality measurement information of the aforementioned terminal device, Service information of the aforementioned terminal device, The CCO settings currently applied to the cell in the first network device, The CCO settings currently applied to the cell in the second network device, The call drop rate of the aforementioned device, The success rate of access by the aforementioned terminal device, and Average access delay of the aforementioned terminal device Includes at least one of the following pieces of information: The method according to claim 23.

25. A method for optimizing coverage and capacity, applicable to terminal devices, It includes transmitting sixth information, The sixth piece of information mentioned above is: Terminal device path information, Channel quality measurement information of the terminal device, and Service information of the aforementioned terminal device, Includes at least one of the following pieces of information: method.

26. The aforementioned method, It further includes transmitting seventh information, The seventh piece of information is obtained after the CCO setting has been applied to the first network device in the second period. The path information of the aforementioned terminal device, Channel quality measurement information of the terminal device, and Service information of the aforementioned terminal device, Includes at least one of the following pieces of information: The method according to claim 25.

27. A functional module having a method described in any one of claims 1 to 14, any one of claims 15 to 24, or any one of claims 25 and 26. Device for optimizing coverage and capacity.

28. A device for optimizing coverage and capacity, It has a processor, The aforementioned processor is coupled to memory. The memory is configured to store computer programs, When the processor reads the computer program, the device can perform the method according to any one of claims 1 to 14, any one of claims 15 to 24, or any one of claims 25 and 26. Device.

29. Includes computer program code, When the computer program code is executed by the computer, the computer may carry out the method according to any one of claims 1 to 14, any one of claims 15 to 24, or any one of claims 25 and 26. Computer program products.

30. It stores program code that will be executed by the computer, The program code includes instructions for performing the method described in any one of claims 1 to 14, any one of claims 15 to 24, or any one of claims 25 and 26. Computer-readable media.

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