Cell control method, device and system for clouded base station, and storage medium

Abstract

Provided in an embodiment of the present application are a cell control method, device and system for a clouded base station, and a storage medium, the method comprising: monitoring user experience related information of a first cell, and determining whether a second cell, which is an adjacent cell of the first cell, needs to be activated or awakened; and under the condition that the second cell needs to be activated or awakened, first information is sent to second equipment, the first information comprises first indication information, and the first indication information is used for indicating to activate or awaken the second cell. According to the embodiment of the invention, a cell wakeup / activation scheme based on user experience is realized, in addition, a real-time cell wakeup / activation scheme based on network function triggering and on-demand cloud cell resource configuration are also realized, the user experience can be better guaranteed, on-demand use of cloud platform resources is realized, and the user experience is improved. The use efficiency of cloud platform resources is improved, and the energy consumption of the cloud platform is reduced.

Description

Technical Field

[0001] The present application relates to the field of wireless cloud network technology, and in particular to a cell control method, device, system and storage medium for a cloud base station. Background Art

[0002] At present, the energy-saving schemes for base stations mainly include deep sleep, shallow sleep, channel silence, subframe silence, etc. For shallow sleep, the cell sleep registration and activation process based on the Xn and X2 interfaces of 5G cells and 5G neighboring cells and 4G neighboring cells is supported. Among them, 4G and 5G neighboring cells can trigger the activation process based on the cell load (including the utilization rate of physical resource blocks (PRBs), the number of connected users of radio resource control (RRC), etc.), and the cell load threshold can be configured by the operator.

[0003] For cloud-based base stations, cell dormancy or deactivation may involve the termination of virtualized centralized units (vCU) or virtualized distributed units (vDU) containers. The awakening or activation of the cell will recreate the vCU / vDU container. Currently, the lifecycle management of vCU / vDU containers (including creation, expansion and contraction, termination, etc.) is managed by the Network Function Orchestrator (NFO) defined in the Open Radio Access Network (O-RAN).

[0004] The prior art generally considers collecting the network load of the network function (NF) (such as CU / DU) through the O1 interface of the service management and orchestration (SMO) system of the network management, determining whether the vCU / vDU corresponding to the cell needs to be put to sleep / deactivated or awakened / activated, and then triggering NFO to terminate or create vCU / vDU containers. The above load-based wake-up / activation solution does not take into account changes in user experience. Summary of the invention

[0005] At least one embodiment of the present application provides a cell control method, device, system and storage medium of a cloud base station, which are used to implement a cell wake-up / activation solution based on user experience.

[0006] In order to solve the above technical problems, this application is implemented as follows:

[0007] In a first aspect, an embodiment of the present application provides a cell control method of a cloud base station, which is applied to a first device, including:

[0008] Monitoring user experience related information of the first cell to determine whether a second cell needs to be activated or awakened, where the second cell is a neighboring cell of the first cell;

[0009] In case the second cell needs to be activated or awakened, first information is sent to the second device, where the first information includes first indication information, and the first indication information is used to indicate the activation or awakening of the second cell.

[0010] Optionally, the first cell and the second cell are both cells of cloud-based base stations.

[0011] Optionally, when the user experience related information of the first cell satisfies at least one of the following, it is determined that the second cell needs to be activated or awakened:

[0012] The average user rate of the first cell is lower than a first threshold;

[0013] The median of the user rate of the first cell is lower than a second threshold;

[0014] The cumulative distribution function CDF curve of the user rate of the first cell is shifted to the left by a preset distance as a whole;

[0015] The average rate of users in the central area of ​​the first cell is lower than a third threshold;

[0016] The air interface delay of users in the central area of ​​the first cell is greater than a fourth threshold;

[0017] The number of users that will move from the first cell to the second cell within a future time window is greater than a fifth threshold;

[0018] The traffic volume that will move from the first cell to the second cell within a future time window is greater than a sixth threshold;

[0019] The average rate of users in the coverage area of ​​the second cell is lower than the seventh threshold.

[0020] Optionally, the user experience related information of the first cell is information obtained through real-time monitoring, or is a predicted value within a future moment or a time window predicted based on a machine learning algorithm.

[0021] Optionally, sending the first information to the second device is specifically: sending the first information to the second device through a first interface.

[0022] Optionally, the first information further includes second indication information, where the second indication information is used to indicate a network service capability that the second cell needs to support, and the network service capability includes at least one of the following:

[0023] Number of users;

[0024] Average user rate;

[0025] Business volume;

[0026] Business volume of different business types;

[0027] The number of users of different business types;

[0028] User rates for different service types.

[0029] Optionally, the first device is a first cloudified base station, and the first cell is a cell of the first cloudified base station;

[0030] or,

[0031] The first device is a near real-time wireless access network intelligent controller, and the first cell is a cell of a first cloud-based base station controlled or managed by the near real-time wireless access network intelligent controller.

[0032] Optionally, when the first device is a first cloudified base station, the first cell is a cell of the first cloudified base station, and the second cell is a cell of a second cloudified base station, the method further includes:

[0033] receiving second information sent by a second device, where the second information is related information for establishing a connection between the first cloudified base station and the second cloudified base station, and the related information includes at least one of address, transmission, and security information;

[0034] According to the second information, a connection with a second cloudified base station is established, and configuration information of the second cell is obtained through the connection.

[0035] In a second aspect, an embodiment of the present application provides a cell control method of a cloud base station, which is applied to a second device, including:

[0036] receiving first information sent by a first device, where the first information includes first indication information, where the first indication information is used to indicate activation or awakening of a second cell;

[0037] activating or waking up the second cell according to the first indication information;

[0038] The second cell is a neighboring cell of the first cell, the first cell and the second cell are cells of a cloud base station, and the first information is triggered and sent by the first device based on user experience related information monitored in the first cell.

[0039] Optionally, the first information is triggered to be sent when the user experience related information of the first cell satisfies at least one of the following:

[0040] The average user rate of the first cell is lower than a first threshold;

[0041] The median of the user rate of the first cell is lower than a second threshold;

[0042] The cumulative distribution function CDF curve of the user rate of the first cell is shifted to the left by a preset distance as a whole;

[0043] The average rate of users in the central area of ​​the first cell is lower than a third threshold;

[0044] The air interface delay of users in the central area of ​​the first cell is greater than a fourth threshold;

[0045] The number of users that will move from the first cell to the second cell within a future time window is greater than a fifth threshold;

[0046] The traffic volume that will move from the first cell to the second cell within a future time window is greater than a sixth threshold;

[0047] The average rate of users in the coverage area of ​​the second cell is lower than the seventh threshold.

[0048] Optionally, the user experience related information of the first cell is information obtained through real-time monitoring, or is average user experience information obtained through statistics over a period of time, or is a predicted value within a future moment or a time window obtained based on a machine learning algorithm.

[0049] Optionally, the receiving the first information sent by the first device is specifically: receiving the first information sent by the first device through a first interface.

[0050] Optionally, the first information further includes second indication information, where the second indication information is used to indicate a network service capability that the second cell needs to support, and the network service capability includes at least one of the following:

[0051] Number of users;

[0052] Average user rate;

[0053] Business volume;

[0054] Business volume of different business types;

[0055] The number of users of different business types;

[0056] User rates for different service types.

[0057] Optionally, the activating or waking up the second cell according to the first indication information includes:

[0058] Determine, according to the first indication information, a second O-Cloud node corresponding to the second cell, and, according to the second indication information, determine cloud platform resources required by the second cell, where the cloud platform resources include at least one of computing resources, storage resources, and network resources;

[0059] Sending first creation information to the second O-Cloud node, where the first creation information is used to instruct instantiation and deployment of a vCU / vDU container corresponding to the second cell;

[0060] After the instantiation and deployment of the vCU / vDU container corresponding to the second cell is completed, the vCU / vDU container corresponding to the second cell is configured in a cell-related manner.

[0061] Optionally, the above method further includes:

[0062] Sending second information to the first cloudified base station, where the second information is related information for establishing a connection between the first cloudified base station and the second cloudified base station, and the related information includes at least one of address, transmission, and security information;

[0063] The first cloudified base station is a base station to which the first cell belongs, and the second cloudified base station is a base station to which the second cell belongs.

[0064] In a third aspect, an embodiment of the present application provides a first device, including a transceiver and a processor, wherein:

[0065] The processor is configured to monitor user experience related information of the first cell, and determine whether it is necessary to activate or wake up a second cell, where the second cell is a neighboring cell of the first cell;

[0066] The transceiver is configured to send first information to the second device when the second cell needs to be activated or awakened, where the first information includes first indication information, and the first indication information is used to indicate the activation or awakening of the second cell;

[0067] The first cell and the second cell are both cells of cloud-based base stations.

[0068] In a fourth aspect, an embodiment of the present application provides a first device, comprising: a processor, a memory, and a program stored in the memory and executable on the processor, wherein the program, when executed by the processor, implements the steps of the method described in the first aspect.

[0069] In a fifth aspect, an embodiment of the present application provides a second device, including a transceiver and a processor, wherein:

[0070] The transceiver is used to receive first information sent by a first device, where the first information includes first indication information, and the first indication information is used to indicate activation or awakening of a second cell;

[0071] The processor is configured to activate or wake up the second cell according to the first indication information;

[0072] The second cell is a neighboring cell of the first cell, the first cell and the second cell are cells of a cloud base station, and the first information is triggered and sent by the first device based on user experience related information monitored in the first cell.

[0073] In a sixth aspect, an embodiment of the present application provides a second device, comprising: a processor, a memory, and a program stored in the memory and executable on the processor, wherein the program, when executed by the processor, implements the steps of the method described in the second aspect.

[0074] In a seventh aspect, an embodiment of the present application provides a computer-readable storage medium, on which a program is stored. When the program is executed by a processor, the steps of the method described above are implemented.

[0075] Compared with the prior art, the cell control method, device and storage medium of the cloud base station provided in the embodiments of the present application realize a cell wake-up / activation scheme based on user experience. In addition, some embodiments of the present application also realize a real-time cell wake-up / activation scheme based on network function triggering. Some embodiments of the present application also realize on-demand cloud cell resource configuration, which can better guarantee user experience, realize on-demand use of cloud platform resources, improve the use efficiency of cloud platform resources, and reduce cloud platform energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present application. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0077] Figure 1A flow chart of a cell control method of a cloud-based base station in an embodiment of the present application;

[0078] Figure 2 Another flow chart of the cell control method of the cloud base station according to the embodiment of the present application;

[0079] Figure 3 This is an example flow chart of the activation of neighboring cells of cloud-based base stations triggered by gNB in ​​this application;

[0080] Figure 4 This is an example flow chart of the activation of a neighboring cell of a cloud-based base station based on Near-RT RIC triggering in this application;

[0081] Figure 5 This is a schematic diagram of the structure of a first device according to an embodiment of the present application;

[0082] Figure 6 A schematic structural diagram of a first device according to another embodiment of the present application;

[0083] Figure 7 This is a schematic diagram of the structure of a second device according to an embodiment of the present application;

[0084] Figure 8 A schematic structural diagram of a second device according to another embodiment of the present application;

[0085] Fig. 9 This is a structural schematic diagram of a first device according to another embodiment of the present application;

[0086] Fig.10 This is a schematic structural diagram of a second device according to another embodiment of the present application. DETAILED DESCRIPTION

[0087] The exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present application and to fully convey the scope of the present application to those skilled in the art.

[0088] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and need not be used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable in appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein, for example. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, the process, method, system, product or equipment comprising a series of steps or units need not be limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment. "And / or" in the specification and claims represents at least one of the connected objects.

[0089] The following description provides examples and does not limit the scope, applicability, or configuration set forth in the claims. Changes may be made to the functions and arrangements of the elements discussed without departing from the spirit and scope of the present disclosure. Various examples may appropriately omit, replace, or add various procedures or components. For example, the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.

[0090] As described in the background technology, the load-based cell wake-up / activation solution of the prior art does not take into account the user experience. In addition, in O-RAN, SMO / NFO is generally deployed centrally, and the time granularity of its monitoring data for network load is relatively large, such as usually 15 minutes. Therefore, it is difficult to achieve real-time cell wake-up or activation, which may result in the cell not being activated or awakened in time. Furthermore, traditional cell activation or wake-up generally considers the wake-up / activation of the entire cell, and does not consider how to achieve on-demand resource allocation based on actual business needs, which may cause waste of computing resources and greater energy consumption. How to achieve on-demand cloud-based vCU / vDU creation is also an important issue that needs to be solved.

[0091] To support the above functional requirements and solve one or more of the above problems, an embodiment of the present application provides a cell control method for a cloud base station, which can wake up / activate the cell based on the user experience. Some embodiments of the present application also implement a real-time cell wake-up / activation solution based on network function triggering. Furthermore, other embodiments also introduce an estimation of the service characteristics of the activated cell to realize on-demand cloud cell resource configuration, and realize an energy-saving wake-up solution for the cloud base station through the collaboration between the base station function, NFO and the cloud platform.

[0092] Figure 1A cell control method for a cloud-based base station provided in an embodiment of the present application is applied to a process on the first device side, wherein the first device may be a cloud-based base station (such as a first base station) or a near-real-time radio access network intelligent controller (Near-Real Time RAN Intelligent Controller, Near-RT RIC), and the second device may be another base station (such as a second base station) or a service management and orchestration system. For example, when the second device is a second base station, the second cell may be a cell of the second base station. The method includes:

[0093] Step 11: monitor user experience related information of the first cell to determine whether it is necessary to activate or wake up a second cell, where the second cell is a neighboring cell of the first cell.

[0094] Here, both the first cell and the second cell are cells of a cloud-based base station. For example, the first cell may be a cell of a first cloud-based base station, and the second cell may be a cell of a second cloud-based base station. The first device determines whether to activate or wake up the second cell based on the user experience related information detected for the first cell. Specifically, when the user experience related information of the first cell satisfies at least one of the following, it is determined that the second cell needs to be activated or woken up:

[0095] (1) The average user rate of the first cell is lower than a first threshold;

[0096] (2) The median user rate of the first cell is lower than a second threshold;

[0097] (3) The Cumulative Distribution Function (CDF) curve of the user rate of the first cell is shifted to the left by a preset distance as a whole;

[0098] (4) The average rate of users in the central area of ​​the first cell is lower than a third threshold;

[0099] (5) The air interface delay of users in the central area of ​​the first cell is greater than a fourth threshold;

[0100] (6) The number of users that will move from the first cell to the second cell within a future time window is greater than a fifth threshold;

[0101] (7) the traffic volume that will move from the first cell to the second cell within a future time window is greater than a sixth threshold;

[0102] (8) The average rate of users in the coverage area of ​​the second cell is lower than the seventh threshold.

[0103] The above threshold is predetermined, for example, can be set according to service quality requirements and the like.

[0104] In addition, in order to implement a real-time cell wake-up / activation solution triggered by a network function, the user experience related information of the first cell may be information obtained by real-time monitoring by the first device, or average user experience information obtained statistically over a period of time, or a predicted value within a future moment or a time window obtained based on a machine learning algorithm.

[0105] Step 12: When the second cell needs to be activated or awakened, first information is sent to the second device, where the first information includes first indication information, and the first indication information is used to indicate the activation or awakening of the second cell.

[0106] Here, the first device can send the first information to the second device through a first interface (such as the O1 interface defined by O-RAN). In this way, the second device can activate or wake up the second cell according to the first indication information, thereby realizing a cell wake-up / activation solution based on user experience.

[0107] In order to implement on-demand cloud cell resource configuration, in an embodiment of the present application, the first information sent by the first device may further include second indication information, where the second indication information is used to indicate the network service capability that the second cell needs to support, and the network service capability includes at least one of the following:

[0108] (1) Number of users;

[0109] (2) Average user rate;

[0110] (3) Business volume;

[0111] (4) Business volume of different business types;

[0112] (5) Number of users of different business types;

[0113] (6) User rates for different service types.

[0114] In this way, the second device can determine the cloud platform resources required by the second cell based on the second indication information, and the cloud platform resources include at least one of computing resources, storage resources and network resources, thereby realizing on-demand cloud cell resource allocation and avoiding or reducing resource waste and energy consumption.

[0115] In an embodiment of the present application, the first device may be a first cloud-based base station (such as gNB1), and the first cell is a cell of the first cloud-based base station. As another implementation, the first device may be a near real-time radio access network intelligent controller (Near-RT RIC), and the first cell is a cell of the first cloud-based base station (such as gNB1) managed by the Near-RT RIC.

[0116] In the case where the first device is a first cloud-based base station, the first cell is a cell of the first cloud-based base station, and the second cell is a cell of a second cloud-based base station, the first device (i.e., the first cloud-based base station) may also receive second information sent by the second device, the second information being relevant information for establishing a connection between the first cloud-based base station and the second cloud-based base station, the relevant information including at least one of address, transmission, and security information; in this way, the first device may establish a connection with the second cloud-based base station according to the second information, and obtain configuration information of the second cell through the connection, so as to facilitate information interaction between cells. The first cloud-based base station and the second cloud-based base station may be running on the same or different open clouds O-Cloud.

[0117] Please refer to Figure 2 The cell control method of the cloud-based base station in the embodiment of the present application, when applied to the second device, includes:

[0118] Step 21: Receive first information sent by a first device, where the first information includes first indication information, and the first indication information is used to indicate activation or wake-up of a second cell.

[0119] Here, the second cell is a neighboring cell of the first cell, the first cell and the second cell are cells of a cloud base station, and the first information is triggered and sent by the first device based on user experience related information monitored in the first cell. Specifically, the second device can receive the first information sent by the first device through a first interface (such as the O1 interface defined by O-RAN).

[0120] Step 22: Activate or wake up the second cell according to the first indication information.

[0121] Through the above steps, the embodiment of the present application implements a cell wake-up / activation solution based on user experience.

[0122] Optionally, in an embodiment of the present application, the user experience related information in the first cell includes at least one of the following: the average user rate of the first cell, the median of the user rate of the first cell, the distance of the overall left shift of the cumulative distribution function CDF curve of the user rate of the first cell, the average user rate in the central area of ​​the first cell, the air interface delay of users in the central area of ​​the first cell, the number of users who will move from the first cell to the second cell within a time window in the future, the traffic volume that will move from the first cell to the second cell within a time window in the future, and the average user rate in the coverage area of ​​the second cell. In addition, when the user experience related information of the first cell satisfies at least one of the following, it is determined that the second cell needs to be activated or woken up:

[0123] (1) The average user rate of the first cell is lower than a first threshold;

[0124] (2) The median user rate of the first cell is lower than a second threshold;

[0125] (3) The CDF curve of the user rate of the first cell is shifted to the left by a preset distance as a whole;

[0126] (4) The average rate of users in the central area of ​​the first cell is lower than a third threshold;

[0127] (5) The air interface delay of users in the central area of ​​the first cell is greater than a fourth threshold;

[0128] (6) The number of users that will move from the first cell to the second cell within a future time window is greater than a fifth threshold;

[0129] (7) the traffic volume that will move from the first cell to the second cell within a future time window is greater than a sixth threshold;

[0130] (8) The average rate of users in the coverage area of ​​the second cell is lower than the seventh threshold.

[0131] Optionally, the user experience related information of the first cell is information obtained by real-time monitoring by the first device, or is average user experience information obtained by statistics for a period of time, or is a predicted value within a future moment or a time window obtained by the first device based on a machine learning algorithm.

[0132] In addition, to implement on-demand cloud cell resource configuration, the first information may further include second indication information, where the second indication information is used to indicate a network service capability that the second cell needs to support, and the network service capability includes at least one of the following:

[0133] (1) Number of users;

[0134] (2) Average user rate;

[0135] (3) Business volume;

[0136] (4) Business volume of different business types;

[0137] (5) Number of users of different business types;

[0138] (6) User rates for different service types.

[0139] At this time, in step 22, the second device can determine the second O-Cloud node corresponding to the second cell according to the first indication information, and determine the cloud platform resources required by the second cell according to the second indication information, wherein the cloud platform resources include at least one of computing resources, storage resources and network resources. Then, the second device sends a first creation message to the second O-Cloud node, wherein the first creation message is used to indicate the instantiation and deployment of the vCU / vDU container corresponding to the second cell, and after the instantiation and deployment of the vCU / vDU container corresponding to the second cell is completed, the vCU / vDU container corresponding to the second cell is configured in a cell-related manner, thereby activating or waking up the second cell.

[0140] Specifically, the second device determines the cloud platform resources required by the second cell according to the second indication information, which may include at least one of the following methods:

[0141] (1) The second device determines the computing resources required for instantiation of the second cell according to the network service capability requirements indicated by the second indication information. For example, a mapping function between computing resources and the number of users and the business load can be determined or an AI model can be trained based on the data of the number of users supported by the cell and the business load and the computing resources occupied by the cell obtained in the actual live network test. Then, based on the estimated number of users or business volume and the pre-trained AI model, the corresponding computing resources, storage resources and network resource configuration for the second cell to be instantiated are determined; the input data of the above AI model can be the network business load (such as uplink / downlink PRB occupancy, number of users), the average cell rate, etc., and the output data is the cloud platform resources occupied by the cell operation when the network is in the state of the input data (for example: CPU, memory, storage, etc.).

[0142] (2) When the network service capability contains at least one of the traffic volume of different service types, the number of users of different service types, and the user rate of different service types, the weighted sum of the demands of different service types can be obtained to obtain the total computing service demand of the cell. The weight coefficients of different service types can be learned from historical data or preset by experience. Then, the calculation is performed in a similar manner to the above method (1). For example, a mapping function between a computing resource and the total computing service demand can be determined or an AI model can be trained based on the total computing service demand supported by the cell and the computing resources occupied by the cell obtained in the actual live network test. Then, based on the estimated total computing service demand and the pre-trained AI model, the computing resources, storage resources, and network resource configuration corresponding to the second cell to be instantiated are determined; the input data of the above AI model can be the total computing service demand, and the output data is the cloud platform resources occupied by the cell operation when the network is in the state of the input data (for example: CPU, memory, storage, etc.).

[0143] Furthermore, the second device may also send second information to the first cloudified base station, wherein the second information is relevant information for establishing a connection between the first cloudified base station and the second cloudified base station, and the relevant information includes at least one of address, transmission, and security information. In this way, after receiving the second information, the first cloudified base station may update the relevant address, transmission, and security information, thereby establishing a connection with the second cloudified base station based on the updated relevant address, transmission, and security information, so as to exchange information with the second cloudified base station through the connection. Here, the first cloudified base station is a base station to which the first cell belongs, and the second cloudified base station is a base station to which the second cell belongs.

[0144] The above describes the method of the embodiment of the present application from the first device and the second device side respectively. To help better understand the present application, the method of the present application will be further described below through an example of an interaction process between devices.

[0145] The following example implements a cloud-based base station energy saving method based on neighbor cell triggering, which can create a cell / or carrier container instance based on the cell wake-up / activation indication triggered by the neighbor cell. The implementation method of this example is explained below using the O-RAN architecture as an example.

[0146] Example 1: gNB1 monitors the operation of the cell in real time. When it is found that the cell needs to activate other adjacent base stations or cells, it informs the RAN OAM function in the SMO through the O1 interface, triggering the neighboring cell Cell2 (corresponding to gNB2) of the service cell Cell1 corresponding to gNB1 to wake up / activate the cell, which can also carry the network capability requirement information for the activated cell; SMO determines the resources for creating cell2 based on the wake-up / activation indication and the network capability requirement information for the activated cell; SMO further creates the container corresponding to the vCU / vDU for the C2 cell through the NFO and O2 interfaces to activate the C2 of the neighboring cell.

[0147] Note: gNB1 and gNB2 run on O-Cloud1 and O-Cloud2 respectively, and NFO manages both O-Cloud1 and O-Cloud2. In a possible implementation, gNB1 and gNB2 may belong to the same manufacturer or different manufacturers, and O-Cloud1 and O-Cloud2 are orchestrated and managed through a unified NFO.

[0148] like Figure 3 As shown, in this example, the steps of activating or waking up the cell cell2 include:

[0149] 301.gNB1 monitors the user experience related information of cell Cell1 in real time, and determines to activate or wake up the neighboring cell Cell2; and determines that the conditions for activating or waking up the neighboring cell meet one or more of the following conditions:

[0150] (1) The average rate of users in the cell is lower than a preset threshold;

[0151] (2) The median rate of cell users is lower than a certain threshold;

[0152] (3) The CDF curve of the cell user rate is shifted to the left by a preset distance;

[0153] (4) The average rate of users in the cell center is lower than a preset threshold;

[0154] (5) The air interface delay of users in the cell center is greater than a certain threshold;

[0155] (6) The number of users and / or traffic volume that will move from the serving cell Cell1 to the neighboring cell Cell2 within a time window T in the future is greater than a preset threshold;

[0156] (7) The average user rate in the coverage area of ​​cell2 is lower than a preset threshold;

[0157] Here, the above-mentioned information such as user rate, number of users and / or business volume can be real-time monitored information or predicted values ​​at a future moment or within a period of time predicted based on a machine learning algorithm.

[0158] 302.gNB1 sends information on determining to activate or wake up the neighboring cell Cell2 to the SMO, which may be sent through the O1 interface defined by O-RAN: activating or waking up the neighboring cell Cell2; the network service capabilities that need to be supported by the cell of the activated or woken neighboring cell; wherein the network service capabilities include one or more of the following:

[0159] (1) Number of users;

[0160] (2) Average user rate;

[0161] (3) Business volume;

[0162] (4) Traffic volume and / or number of users and / or user rate of different service types.

[0163] 303. The SMO determines the O-Cloud node O-Cloud2 corresponding to cell2 and the cloud platform resources required to activate cell2 based on the received information of waking up the neighboring cell2 and the number of users and / or service volume and / or related information of different service types that the cell of the awakened neighboring cell needs to support, so as to perform cell activation / waking up. For example, determining information such as computing, storage and network configuration; the determination method may include:

[0164] (1) According to the network capability requirements that cell2 is expected to support, the computing resources required for instantiation of cell2 are determined. For example, a mapping function between computing resources and the number of users and the business load obtained from actual live network tests and the data on the computing resources occupied by the cell can be determined or an AI model can be trained. Based on the estimated number of users or business volume and the pre-trained AI model, the corresponding computing, storage and network resource configuration for cell2 to be instantiated is determined. The input data of the above AI model can be the network business load (such as uplink / downlink PRB occupancy rate, number of users), the average cell rate, etc. The output data is the cloud platform resources occupied by the cell operation when the network is in the state of the input data (for example, CPU, memory, storage status)

[0165] (2) When the network service capability contains different service types in terms of traffic volume and / or number of users and / or user rate, the total computing service demand for the cell can be determined by weighted summation of the demands of different service types; the weight coefficients of different service types can be learned from historical data or preset by experience.

[0166] 304. The OAM function in the SMO may send relevant information to the NFO function in the SMO for cell activation / wake-up.

[0167] 305. The NFO function instantiates and deploys the vCU / vDU container corresponding to cell2 to O-Cloud2 through the O2 interface to activate or wake up cell2.

[0168] 306. O-Cloud2 notifies NFO cell2 that the corresponding vCU / vDU container has been instantiated and deployed.

[0169] 307. NFO informs the OAM function through the cell activation / wake-up response that the vCU / vDU deployment corresponding to Cell2 has been completed.

[0170] 308. The OAM function performs cell-related configuration on the vCU / vDU corresponding to the deployed cell2.

[0171] 309. vCU / vDU returns OAM configuration response information.

[0172] 310. The OAM function updates the address, transmission and security information related to RAN NF1 so that RAN NF1 can establish a connection with RANNF2.

[0173] 311.Cell2 updates the relevant cell activation configuration information of gNB2 to the gNB1 cell where Cell1 is located.

[0174] Example 2: Near-RT RIC monitors the status of the service cell in real time to determine whether to activate / wake up the neighboring cells of a service cell. When it is found that the cell needs to activate other adjacent base stations or cells, Near-RT RIC informs the RAN OAM function in SMO through the O1 interface to trigger the neighboring cell Cell2 (corresponding to gNB2) of the service cell Cell1 corresponding to gNB1 to wake up / activate the cell, which can also carry the network capability requirement information for the activated cell. SMO determines the resources to create cell2 based on the wake-up / activation indication and the network capability requirement information of the activated cell. SMO further creates the container corresponding to the vCU / vDU for the C2 cell through the NFO and O2 interfaces to activate the neighboring cell Cell2.

[0175] like Figure 4 As shown, the example includes:

[0176] 401-402. Near-RT RIC collects measurement data of cell Cell1 in real time, monitors user experience related information of cell Cell1, and determines to activate or wake up neighboring cell Cell2; determines that the conditions for activating or waking up the neighboring cell meet one or more of the following:

[0177] (1) The average rate of users in the cell is lower than a preset threshold;

[0178] (2) The median rate of cell users is lower than a certain threshold;

[0179] (3) The CDF curve of the cell user rate is shifted to the left by a preset distance;

[0180] (4) The average rate of users in the cell center is lower than a preset threshold;

[0181] (5) The air interface delay of users in the cell center is greater than a certain threshold;

[0182] (6) The number of users and / or traffic volume that will move from the serving cell Cell1 to the neighboring cell Cell2 within a time window T in the future is greater than a preset threshold;

[0183] (7) The average user rate in the coverage area of ​​cell2 is lower than a preset threshold;

[0184] The above-mentioned information such as user rate, number of users and / or business volume may be information monitored in real time or predicted values ​​at a future moment or within a period of time predicted based on a machine learning algorithm.

[0185] 403-404. Near-RT RIC sends information to SMO to determine activation or awakening of neighboring cell Cell2, and can send activation or awakening of neighboring cell Cell2 through O1 interface defined by O-RAN; the network service capabilities that need to be supported by the cell of the activated or awakened neighboring cell; wherein the network service capabilities include one or more of the following:

[0186] (1) Number of users

[0187] (2) Average user rate

[0188] (3) Business volume

[0189] (4) Traffic volume and / or number of users and / or user rates of different service types

[0190] The SMO determines the O-Cloud node O-Cloud2 corresponding to cell2 and the cloud platform resources required to activate cell2, such as computing, storage, and network configuration information, based on the received information of waking up the neighboring cell2 and the number of users and / or service volume and / or related information of different service types that the cell of the awakened neighboring cell needs to support. The determination method may include:

[0191] (1) According to the network capability requirements that cell2 is expected to support, the computing resources required for instantiation of cell2 are determined. For example, a mapping function between computing resources and the number of users and the business load obtained from actual live network tests and the data on the computing resources occupied by the cell can be determined or an AI model can be trained. Based on the estimated number of users or business volume and the pre-trained AI model, the corresponding computing, storage and network resource configuration for cell2 to be instantiated is determined. The input data of the above AI model can be the network business load (such as uplink / downlink PRB occupancy rate, number of users), the average cell rate, etc. The output data is the cloud platform resources occupied by the cell operation when the network is in the state of the input data (for example, CPU, memory, storage status)

[0192] (2) When the network service capability contains different service types in terms of traffic volume and / or number of users and / or user rate, the total computing service demand for the cell can be determined by weighted summation of the demands of different service types; the weight coefficients of different service types can be learned from historical data or preset by experience.

[0193] 405. The OAM function in SMO may send relevant information to the NFO function in SMO.

[0194] 406. The NFO function deploys the vCU / vDU container corresponding to cell2 to O-Cloud2 through the O2 interface to activate or wake up cell2.

[0195] 407. O-Cloud2 notifies NFO cell2 that the corresponding vCU / vDU container has been instantiated and deployed.

[0196] 408.NFO informs the OAM function that the vCU / vDU deployment corresponding to Cell2 has been completed.

[0197] 409. The OAM function performs cell-related configuration on the vCU / vDU corresponding to the deployed cell2;

[0198] 410. vCU / vDU returns OAM configuration response information.

[0199] 411. The OAM function updates the address, transmission and security information related to RAN NF1 so that RAN NF1 can establish a connection with RANNF2.

[0200] 412.Cell2 updates the relevant cell activation configuration information of gNB2 to the gNB1 cell where Cell1 is located.

[0201] The above describes various methods of the embodiments of the present application. The following further provides devices for implementing the above methods.

[0202] Please refer to Figure 5 , the embodiment of the present application further provides a first device, including:

[0203] A monitoring module 501 is configured to monitor user experience related information of a first cell and determine whether a second cell needs to be activated or awakened, where the second cell is a neighboring cell of the first cell;

[0204] A first sending module 502 is configured to send first information to a second device when the second cell needs to be activated or awakened, where the first information includes first indication information, where the first indication information is used to indicate activation or awakening of the second cell;

[0205] The first cell and the second cell are both cells of cloud-based base stations.

[0206] Through the above modules, the embodiment of the present application realizes cell wake-up / activation based on user experience.

[0207] Optionally, the monitoring module is further configured to determine that the second cell needs to be activated or awakened when the user experience related information of the first cell satisfies at least one of the following:

[0208] The average user rate of the first cell is lower than a first threshold;

[0209] The median of the user rate of the first cell is lower than a second threshold;

[0210] The cumulative distribution function CDF curve of the user rate of the first cell is shifted to the left by a preset distance as a whole;

[0211] The average rate of users in the central area of ​​the first cell is lower than a third threshold;

[0212] The air interface delay of users in the central area of ​​the first cell is greater than a fourth threshold;

[0213] The number of users that will move from the first cell to the second cell within a future time window is greater than a fifth threshold;

[0214] The traffic volume that will move from the first cell to the second cell within a future time window is greater than a sixth threshold;

[0215] The average rate of users in the coverage area of ​​the second cell is lower than the seventh threshold.

[0216] Optionally, the user experience related information of the first cell is information obtained through real-time monitoring, or is average user experience information obtained through statistics over a period of time, or is a predicted value within a future moment or a time window obtained based on a machine learning algorithm.

[0217] Optionally, the first sending module is further used to send the first information to the second device through the first interface.

[0218] Optionally, the first information further includes second indication information, where the second indication information is used to indicate a network service capability that the second cell needs to support, and the network service capability includes at least one of the following:

[0219] Number of users;

[0220] Average user rate;

[0221] Business volume;

[0222] Business volume of different business types;

[0223] The number of users of different business types;

[0224] User rates for different service types.

[0225] Optionally, the first device is a first cloudified base station gNB1, and the first cell is a cell of the first cloudified base station;

[0226] or,

[0227] The first device is a near real-time radio access network intelligent controller Near-RT RIC, and the first cell is a cell of a first cloud-based base station controlled or managed by the near real-time radio access network intelligent controller.

[0228] Optionally, when the first device is a first cloudified base station, the first cell is a cell of the first cloudified base station, and the second cell is a cell of a second cloudified base station, the first device further includes:

[0229] A first receiving module, configured to receive second information sent by a second device, where the second information is related information for establishing a connection between the first cloudified base station and the second cloudified base station, and the related information includes at least one of address, transmission, and security information;

[0230] A connection establishment module is used to establish a connection with a second cloudified base station according to the second information, and obtain configuration information of the second cell through the connection.

[0231] It should be noted that the device in this embodiment is a device corresponding to the method applied to the first device side, and the implementation methods in the above embodiments are all applicable to the embodiments of the device, and can also achieve the same technical effects. The above device provided in the embodiment of the present application can implement all the method steps implemented in the above method embodiment, and can achieve the same technical effects. The parts and beneficial effects that are the same as those in the method embodiment in this embodiment will not be specifically described here.

[0232] Please refer to Figure 6 , the embodiment of the present application further provides a terminal 600, including: a transceiver 601 and a processor 602;

[0233] The processor 602 is configured to monitor user experience related information of the first cell, and determine whether it is necessary to activate or wake up a second cell, where the second cell is a neighboring cell of the first cell;

[0234] The transceiver 601 is configured to send first information to the second device when the second cell needs to be activated or awakened, where the first information includes first indication information, where the first indication information is used to indicate the activation or awakening of the second cell;

[0235] The first cell and the second cell are both cells of cloud-based base stations.

[0236] Optionally, the processor is further configured to determine that the second cell needs to be activated or awakened when the user experience related information of the first cell satisfies at least one of the following:

[0237] The average user rate of the first cell is lower than a first threshold;

[0238] The median of the user rate of the first cell is lower than a second threshold;

[0239] The cumulative distribution function CDF curve of the user rate of the first cell is shifted to the left by a preset distance as a whole;

[0240] The average rate of users in the central area of ​​the first cell is lower than a third threshold;

[0241] The air interface delay of users in the central area of ​​the first cell is greater than a fourth threshold;

[0242] The number of users that will move from the first cell to the second cell within a future time window is greater than a fifth threshold;

[0243] The traffic volume that will move from the first cell to the second cell within a future time window is greater than a sixth threshold;

[0244] The average rate of users in the coverage area of ​​the second cell is lower than the seventh threshold.

[0245] Optionally, the user experience related information of the first cell is information obtained through real-time monitoring, or is average user experience information obtained through statistics over a period of time, or is a predicted value within a future moment or a time window obtained based on a machine learning algorithm.

[0246] Optionally, the transceiver is further used to send the first information to the second device through the first interface.

[0247] Optionally, the first information further includes second indication information, where the second indication information is used to indicate a network service capability that the second cell needs to support, and the network service capability includes at least one of the following:

[0248] Number of users;

[0249] Average user rate;

[0250] Business volume;

[0251] Business volume of different business types;

[0252] The number of users of different business types;

[0253] User rates for different service types.

[0254] Optionally, the first device is a first cloudified base station gNB1, and the first cell is a cell of the first cloudified base station;

[0255] or,

[0256] The first device is a near real-time radio access network intelligent controller Near-RT RIC, and the first cell is a cell of a first cloud-based base station controlled or managed by the near real-time radio access network intelligent controller.

[0257] Optionally, when the first device is a first cloudified base station, the first cell is a cell of the first cloudified base station, and the second cell is a cell of a second cloudified base station,

[0258] The transceiver is further configured to receive second information sent by a second device, where the second information is related information for establishing a connection between the first cloudified base station and the second cloudified base station, and the related information includes at least one of address, transmission, and security information;

[0259] The processor is further used to establish a connection with a second cloudified base station according to the second information, and obtain configuration information of the second cell through the connection.

[0260] It should be noted that the device in this embodiment is a device corresponding to the method applied to the first device side, and the implementation methods in the above embodiments are all applicable to the embodiments of the device, and can also achieve the same technical effects. The above device provided in the embodiment of the present application can implement all the method steps implemented in the above method embodiment, and can achieve the same technical effects. The parts and beneficial effects that are the same as those in the method embodiment in this embodiment will not be specifically described here.

[0261] Please refer to Figure 7 , the embodiment of the present application further provides a second device, including:

[0262] A first receiving module 701 is configured to receive first information sent by a first device, where the first information includes first indication information, where the first indication information is used to indicate activation or wake-up of a second cell;

[0263] A first processing module 702, configured to activate or wake up the second cell according to the first indication information;

[0264] The second cell is a neighboring cell of the first cell, the first cell and the second cell are cells of a cloud base station, and the first information is triggered and sent by the first device based on user experience related information monitored in the first cell.

[0265] Based on the above modules, the embodiment of the present application realizes cell wake-up / activation based on user experience.

[0266] Optionally, the first information is triggered to be sent when the user experience related information of the first cell satisfies at least one of the following:

[0267] The average user rate of the first cell is lower than a first threshold;

[0268] The median of the user rate of the first cell is lower than a second threshold;

[0269] The cumulative distribution function CDF curve of the user rate of the first cell is shifted to the left by a preset distance as a whole;

[0270] The average rate of users in the central area of ​​the first cell is lower than a third threshold;

[0271] The air interface delay of users in the central area of ​​the first cell is greater than a fourth threshold;

[0272] The number of users that will move from the first cell to the second cell within a future time window is greater than a fifth threshold;

[0273] The traffic volume that will move from the first cell to the second cell within a future time window is greater than a sixth threshold;

[0274] The average rate of users in the coverage area of ​​the second cell is lower than the seventh threshold.

[0275] Optionally, the user experience related information of the first cell is information obtained through real-time monitoring, or is average user experience information obtained through statistics over a period of time, or is a predicted value within a future moment or a time window obtained based on a machine learning algorithm.

[0276] Optionally, the first receiving module is further used to receive the first information sent by the first device through a first interface.

[0277] Optionally, the first information further includes second indication information, where the second indication information is used to indicate a network service capability that the second cell needs to support, and the network service capability includes at least one of the following:

[0278] Number of users;

[0279] Average user rate;

[0280] Business volume;

[0281] Business volume of different business types;

[0282] The number of users of different business types;

[0283] User rates for different service types.

[0284] Optionally, the first processing module is further used to:

[0285] Determine, according to the first indication information, a second O-Cloud node corresponding to the second cell, and, according to the second indication information, determine cloud platform resources required by the second cell, where the cloud platform resources include at least one of computing resources, storage resources, and network resources;

[0286] Sending first creation information to the second O-Cloud node, where the first creation information is used to instruct instantiation and deployment of a vCU / vDU container corresponding to the second cell;

[0287] After the instantiation and deployment of the vCU / vDU container corresponding to the second cell is completed, the vCU / vDU container corresponding to the second cell is configured in a cell-related manner.

[0288] Optionally, the second device further includes:

[0289] A first sending module, configured to send second information to the first cloudified base station, where the second information is related information for establishing a connection between the first cloudified base station and the second cloudified base station, and the related information includes at least one of address, transmission, and security information;

[0290] The first cloudified base station is a base station to which the first cell belongs, and the second cloudified base station is a base station to which the second cell belongs.

[0291] It should be noted that the device in this embodiment is a device corresponding to the method applied to the second device side, and the implementation methods in the above embodiments are all applicable to the embodiments of the device, and can also achieve the same technical effects. The above device provided in the embodiment of the present application can implement all the method steps implemented in the above method embodiment, and can achieve the same technical effects. The parts and beneficial effects that are the same as those in the method embodiment in this embodiment will not be specifically described here.

[0292] Please refer to Figure 8 , the embodiment of the present application further provides a network device 800, including: a transceiver 801 and a processor 802;

[0293] The transceiver 801 is configured to receive first information sent by a first device, where the first information includes first indication information, where the first indication information is used to indicate activation or awakening of a second cell;

[0294] The processor 802 is configured to activate or wake up the second cell according to the first indication information;

[0295] The second cell is a neighboring cell of the first cell, the first cell and the second cell are cells of a cloud base station, and the first information is triggered and sent by the first device based on user experience related information monitored in the first cell.

[0296] Optionally, the first information is triggered to be sent when the user experience related information of the first cell satisfies at least one of the following:

[0297] The average user rate of the first cell is lower than a first threshold;

[0298] The median of the user rate of the first cell is lower than a second threshold;

[0299] The cumulative distribution function CDF curve of the user rate of the first cell is shifted to the left by a preset distance as a whole;

[0300] The average rate of users in the central area of ​​the first cell is lower than a third threshold;

[0301] The air interface delay of users in the central area of ​​the first cell is greater than a fourth threshold;

[0302] The number of users that will move from the first cell to the second cell within a future time window is greater than a fifth threshold;

[0303] The traffic volume that will move from the first cell to the second cell within a future time window is greater than a sixth threshold;

[0304] The average rate of users in the coverage area of ​​the second cell is lower than the seventh threshold.

[0305] Optionally, the user experience related information of the first cell is information obtained through real-time monitoring, or is average user experience information obtained through statistics over a period of time, or is a predicted value within a future moment or a time window obtained based on a machine learning algorithm.

[0306] Optionally, the transceiver is further used to receive the first information sent by the first device through a first interface.

[0307] Optionally, the first information further includes second indication information, where the second indication information is used to indicate a network service capability that the second cell needs to support, and the network service capability includes at least one of the following:

[0308] Number of users;

[0309] Average user rate;

[0310] Business volume;

[0311] Business volume of different business types;

[0312] The number of users of different business types;

[0313] User rates for different service types.

[0314] Optionally, the processor is further configured to:

[0315] Determine, according to the first indication information, a second O-Cloud node corresponding to the second cell, and, according to the second indication information, determine cloud platform resources required by the second cell, where the cloud platform resources include at least one of computing resources, storage resources, and network resources;

[0316] Sending first creation information to the second O-Cloud node, where the first creation information is used to instruct instantiation and deployment of a vCU / vDU container corresponding to the second cell;

[0317] After the instantiation and deployment of the vCU / vDU container corresponding to the second cell is completed, the vCU / vDU container corresponding to the second cell is configured in a cell-related manner.

[0318] Optionally, the transceiver is further used to send second information to the first cloudified base station, where the second information is related information for establishing a connection between the first cloudified base station and the second cloudified base station, and the related information includes at least one of address, transmission and security information;

[0319] The first cloudified base station is a base station to which the first cell belongs, and the second cloudified base station is a base station to which the second cell belongs.

[0320] It should be noted that the device in this embodiment is a device corresponding to the method applied to the second device side, and the implementation methods in the above embodiments are all applicable to the embodiments of the device, and can also achieve the same technical effects. The above device provided in the embodiment of the present application can implement all the method steps implemented in the above method embodiment, and can achieve the same technical effects. The parts and beneficial effects that are the same as those in the method embodiment in this embodiment will not be specifically described here.

[0321] Please refer to Fig. 9 The embodiment of the present application also provides a terminal 900, including a processor 901, a memory 902, and a computer program stored in the memory 902 and executable on the processor 901. When the computer program is executed by the processor 901, each process of the cell control method embodiment of the cloud base station executed by the first device is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0322] Please refer to Fig.10 The embodiment of the present application also provides a network device 1000, including a processor 1001, a memory 1002, and a computer program stored in the memory 1002 and executable on the processor 1001. When the computer program is executed by the processor 1001, each process of the cell control method embodiment of the cloud base station executed by the second device is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0323] The embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, each process of the cell control method of the above-mentioned cloud base station is implemented, and the same technical effect can be achieved. To avoid repetition, it is not repeated here. The computer-readable storage medium is, for example, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0324] It should be noted that, in this article, the terms "include", "include" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0325] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0326] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims

1. A cell control method for a cloud base station, applied to a first device, characterized in that: include: Monitoring user experience related information of the first cell to determine whether a second cell needs to be activated or awakened, where the second cell is a neighboring cell of the first cell; In case the second cell needs to be activated or awakened, first information is sent to the second device, where the first information includes first indication information, and the first indication information is used to indicate the activation or awakening of the second cell.

2. The method according to claim 1, characterized in that: The first cell and the second cell are both cells of cloud-based base stations.

3. The method according to claim 1, characterized in that When the user experience related information of the first cell satisfies at least one of the following, it is determined that the second cell needs to be activated or awakened: The average user rate of the first cell is lower than a first threshold; The median of the user rate of the first cell is lower than a second threshold; The cumulative distribution function CDF curve of the user rate of the first cell is shifted to the left by a preset distance as a whole; The average rate of users in the central area of ​​the first cell is lower than a third threshold; The air interface delay of users in the central area of ​​the first cell is greater than a fourth threshold; The number of users that will move from the first cell to the second cell within a future time window is greater than a fifth threshold; The traffic volume that will move from the first cell to the second cell within a future time window is greater than a sixth threshold; The average rate of users in the coverage area of ​​the second cell is lower than the seventh threshold.

4. The method according to claim 3, characterized in that The user experience related information of the first cell is information obtained through real-time monitoring, or is average user experience information obtained through statistics over a period of time, or is a predicted value within a future moment or a time window obtained through prediction based on a machine learning algorithm.

5. The method according to claim 1, characterized in that The sending the first information to the second device specifically includes: sending the first information to the second device through a first interface.

6. The method according to claim 1, characterized in that The first information further includes second indication information, where the second indication information is used to indicate a network service capability that the second cell needs to support, and the network service capability includes at least one of the following: Number of users; Average user rate; Business volume; Business volume of different business types; The number of users of different business types; User rates for different service types.

7. The method according to claim 1, characterized in that The first device is a first cloudified base station, and the first cell is a cell of the first cloudified base station; or, The first device is a near real-time wireless access network intelligent controller, and the first cell is a cell of a first cloud-based base station controlled or managed by the near real-time wireless access network intelligent controller.

8. The method according to claim 7, characterized in that In a case where the first device is a first cloudified base station, the first cell is a cell of the first cloudified base station, and the second cell is a cell of a second cloudified base station, the method further includes: The first device receives second information sent by the second device, where the second information is related information for establishing a connection between the first cloudified base station and the second cloudified base station, and the related information includes at least one of address, transmission, and security information; According to the second information, a connection with a second cloudified base station is established, and configuration information of the second cell is obtained through the connection.

9. A cell control method of a cloud base station, applied to a second device, characterized in that: include: receiving first information sent by a first device, where the first information includes first indication information, where the first indication information is used to indicate activation or awakening of a second cell; activating or waking up the second cell according to the first indication information; The second cell is a neighboring cell of the first cell.

10. The method according to claim 9, characterized in that The first cell and the second cell are cells of a cloud base station, and the first information is triggered and sent by the first device based on user experience related information monitored in the first cell.

11. The method according to claim 9, characterized in that The first information is triggered to be sent when the user experience related information of the first cell satisfies at least one of the following: The average user rate of the first cell is lower than a first threshold; The median of the user rate of the first cell is lower than a second threshold; The cumulative distribution function CDF curve of the user rate of the first cell is shifted to the left by a preset distance as a whole; The average rate of users in the central area of ​​the first cell is lower than a third threshold; The air interface delay of users in the central area of ​​the first cell is greater than a fourth threshold; The number of users that will move from the first cell to the second cell within a future time window is greater than a fifth threshold; The traffic volume that will move from the first cell to the second cell within a future time window is greater than a sixth threshold; The average rate of users in the coverage area of ​​the second cell is lower than the seventh threshold.

12. The method according to claim 11, characterized in that The user experience related information of the first cell is information obtained through real-time monitoring, or is a predicted value within a future moment or a time window predicted based on a machine learning algorithm.

13. The method according to claim 9, characterized in that The receiving the first information sent by the first device specifically includes: receiving the first information sent by the first device through a first interface.

14. The method according to claim 9, characterized in that The first information further includes second indication information, where the second indication information is used to indicate a network service capability that the second cell needs to support, and the network service capability includes at least one of the following: Number of users; Average user rate; Business volume; Business volume of different business types; The number of users of different business types; User rates for different service types.

15. The method according to claim 14, characterized in that The activating or waking up the second cell according to the first indication information includes: Determine, according to the first indication information, a second O-Cloud node corresponding to the second cell, and, according to the second indication information, determine cloud platform resources required by the second cell, where the cloud platform resources include at least one of computing resources, storage resources, and network resources; Sending first creation information to the second O-Cloud node, where the first creation information is used to instruct instantiation and deployment of a vCU / vDU container corresponding to the second cell; After the instantiation and deployment of the vCU / vDU container corresponding to the second cell is completed, the vCU / vDU container corresponding to the second cell is configured in a cell-related manner.

16. The method according to claim 15, characterized in that Also includes: Sending second information to the first cloudified base station, where the second information is related information for establishing a connection between the first cloudified base station and the second cloudified base station, and the related information includes at least one of address, transmission, and security information; The first cloudified base station is a base station to which the first cell belongs, and the second cloudified base station is a base station to which the second cell belongs.

17. A first device, characterized in that: comprising a transceiver and a processor, wherein: The processor is configured to monitor user experience related information of the first cell, and determine whether it is necessary to activate or wake up a second cell, where the second cell is a neighboring cell of the first cell; The transceiver is configured to send first information to the second device when the second cell needs to be activated or awakened, where the first information includes first indication information, and the first indication information is used to indicate the activation or awakening of the second cell; The first cell and the second cell are both cells of cloud-based base stations.

18. A first device, characterized in that: include: A processor, a memory, and a program stored in the memory and executable on the processor, wherein the program, when executed by the processor, implements the steps of the method according to any one of claims 1 to 8.

19. A second device, characterized in that: comprising a transceiver and a processor, wherein: The transceiver is used to receive first information sent by a first device, where the first information includes first indication information, and the first indication information is used to indicate activation or awakening of a second cell; The processor is configured to activate or wake up the second cell according to the first indication information; The second cell is a neighboring cell of the first cell, the first cell and the second cell are cells of a cloud base station, and the first information is triggered and sent by the first device based on user experience related information monitored in the first cell.

20. A second device, characterized in that: include: A processor, a memory, and a program stored in the memory and executable on the processor, wherein when the program is executed by the processor, the steps of the method according to any one of claims 9 to 16 are implemented.

21. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 16 are implemented.

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