Cell control method, device and system for cloud-based base station, and storage medium

Abstract

Embodiments of the present disclosure relate to the technical field of wireless cloud networks, and provide a cell control method, device and system for a cloud-based base station, and a storage medium. The method comprises: monitoring user experience related information of a first cell, and determining whether a second cell needs to be activated or woken up, wherein the second cell is a neighbor cell of the first cell; and when the second cell needs to be activated or woken up, sending first information to a second device, wherein the first information comprises first instruction information, and the first instruction information is used for instructing to activate or wake up the second cell.

Description

Cell control method, device, system and storage medium for cloud-based base station

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to Chinese patent application No. 202311229134.6 filed in China on September 22, 2023, the entire contents of which are incorporated herein by reference. Technical Field

[0003] The present disclosure 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-based base station. Background Art

[0004] Currently, base station energy-saving solutions mainly include deep sleep, shallow sleep, channel silence, sub-frame silence, etc. For shallow sleep, support is provided for cell sleep registration and activation processes based on the Xn and X2 interfaces between 5th Generation Mobile Communication Technology (5G) cells and 5G neighboring cells, and 4th Generation Mobile Communication Technology (4G) neighboring cells. 4G and 5G neighboring cells can trigger the activation process based on cell load (including physical resource block (PRB) utilization, number of radio resource control (RRC) connected users, etc.), and the cell load threshold can be configured by the operator.

[0005] For cloud-based base stations, cell dormancy or deactivation may involve the termination of virtualized centralized unit (vCU) or virtualized distributed unit (vDU) containers. Waking up or activating the cell recreates the vCU / vDU container. Currently, the lifecycle management of vCU / vDU containers (including creation, scaling, and termination) is managed by the Network Function Orchestrator (NFO) defined in the Open Radio Access Network (O-RAN).

[0006] Related technologies generally consider collecting the network load of network functions (NFs) (such as centralized units (CUs) / distributed units (DUs)) through the O1 interface of the network management's Service Management and Orchestration (SMO) system to determine whether the corresponding vCU / vDU of the cell needs to be put to sleep / deactivated or awakened / activated, and then trigger 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.

[0007] Summary of the Invention

[0008] At least one embodiment of the present disclosure provides a cell control method, device, system, and storage medium for a cloud-based base station, for implementing a cell wake-up / activation solution based on user experience.

[0009] In order to solve the above technical problems, the present disclosure is implemented as follows:

[0010] In a first aspect, an embodiment of the present disclosure provides a cell control method for a cloud-based base station, applied to a first device, the method comprising:

[0011] Monitoring user experience related information of a 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;

[0012] In case the second cell needs to be activated or woken up, 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 wakeup of the second cell.

[0013] Optionally, the first cell and the second cell are both cells of cloud base stations.

[0014] 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:

[0015] The average user rate of the first cell is lower than a first threshold;

[0016] The median user rate of the first cell is lower than a second threshold;

[0017] The cumulative distribution function CDF curve of the user rate of the first cell shifts left by a preset distance as a whole;

[0018] The average user rate in the central area of ​​the first cell is lower than a third threshold;

[0019] The air interface delay of users in the central area of ​​the first cell is greater than a fourth threshold;

[0020] 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;

[0021] 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;

[0022] The average rate of users in the coverage area of ​​the second cell is lower than a seventh threshold.

[0023] 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.

[0024] Optionally, sending the first information to the second device is specifically: sending the first information to the second device through a first interface.

[0025] 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, where the network service capability includes at least one of the following:

[0026] Number of users;

[0027] Average user rate;

[0028] Business volume;

[0029] Business volume of different business types;

[0030] The number of users of different business types;

[0031] User rates for different service types.

[0032] Optionally, the first device is a first cloudified base station, and the first cell is a cell of the first cloudified base station;

[0033] or,

[0034] 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.

[0035] 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:

[0036] 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, the related information including at least one of address, transmission, and security information;

[0037] According to the second information, a connection is established with a second cloudified base station, and configuration information of the second cell is obtained through the connection.

[0038] In a second aspect, an embodiment of the present disclosure provides a cell control method for a cloud-based base station, which is applied to a second device. The method includes:

[0039] receiving first information sent by a first device, where the first information includes first indication information, where the first indication information is used to instruct activation or wake-up of a second cell;

[0040] activating or waking up the second cell according to the first indication information;

[0041] 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.

[0042] 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:

[0043] The average user rate of the first cell is lower than a first threshold;

[0044] The median user rate of the first cell is lower than a second threshold;

[0045] The cumulative distribution function CDF curve of the user rate of the first cell shifts left by a preset distance as a whole;

[0046] The average user rate in the central area of ​​the first cell is lower than a third threshold;

[0047] The air interface delay of users in the central area of ​​the first cell is greater than a fourth threshold;

[0048] 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;

[0049] 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;

[0050] The average rate of users in the coverage area of ​​the second cell is lower than a seventh threshold.

[0051] 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.

[0052] 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.

[0053] 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, where the network service capability includes at least one of the following:

[0054] Number of users;

[0055] Average user rate;

[0056] Business volume;

[0057] Business volume of different business types;

[0058] The number of users of different business types;

[0059] User rates for different service types.

[0060] Optionally, the activating or waking up the second cell according to the first indication information includes:

[0061] Determine, based on the first indication information, a second O-Cloud node corresponding to the second cell, and, based on 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;

[0062] Sending a first creation message to the second O-Cloud node, where the first creation message is used to instruct instantiation and deployment of a vCU / vDU container corresponding to the second cell;

[0063] 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.

[0064] Optionally, the above method further includes:

[0065] 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, the related information including at least one of address, transmission, and security information;

[0066] The first cloudified base station is a base station belonging to the first cell, and the second cloudified base station is a base station belonging to the second cell.

[0067] In a third aspect, an embodiment of the present disclosure provides a first device, including a transceiver and a processor, wherein:

[0068] The processor 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;

[0069] 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 instruct the activation or awakening of the second cell;

[0070] The first cell and the second cell are both cells of cloud-based base stations.

[0071] In a fourth aspect, an embodiment of the present disclosure 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.

[0072] In a fifth aspect, an embodiment of the present disclosure provides a second device, including a transceiver and a processor, wherein:

[0073] The transceiver is configured 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 instruct activation or awakening of a second cell;

[0074] The processor is configured to activate or wake up the second cell according to the first indication information;

[0075] 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.

[0076] In a sixth aspect, an embodiment of the present disclosure 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.

[0077] In a seventh aspect, an embodiment of the present disclosure 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.

[0078] Compared to related technologies, the cell control method, device, and storage medium for a cloud-based base station provided by the embodiments of the present disclosure implement a cell wake-up / activation solution based on user experience. Furthermore, some embodiments of the present disclosure also implement a real-time cell wake-up / activation solution triggered by network functions. Some embodiments of the present disclosure also implement on-demand cloud-based cell resource configuration, which can better ensure user experience and enable on-demand use of cloud platform resources, improving the efficiency of cloud platform resource utilization and reducing cloud platform energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present disclosure. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0080] FIG1 is a flow chart of a cell control method of a cloud-based base station according to an embodiment of the present disclosure;

[0081] FIG2 is another flowchart of a cell control method of a cloud-based base station according to an embodiment of the present disclosure;

[0082] FIG3 is an example flowchart of the activation of a neighboring cell of a cloud-based base station based on gNB triggering according to the present disclosure;

[0083] FIG4 is an example flowchart of cloud-based base station neighbor cell activation based on Near-RT RIC triggering in the present disclosure;

[0084] FIG5 is a schematic structural diagram of a first device according to an embodiment of the present disclosure;

[0085] FIG6 is a schematic structural diagram of a first device according to another embodiment of the present disclosure;

[0086] FIG7 is a schematic structural diagram of a second device according to an embodiment of the present disclosure;

[0087] FIG8 is a schematic structural diagram of a second device according to another embodiment of the present disclosure;

[0088] FIG9 is a schematic structural diagram of a first device according to another embodiment of the present disclosure;

[0089] FIG10 is a schematic structural diagram of a second device according to another embodiment of the present disclosure. DETAILED DESCRIPTION

[0090] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0091] The terms "first", "second", etc. in the specification and claims of the present disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present disclosure described herein can, for example, be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or that are inherent to these processes, methods, products or devices. "And / or" in the specification and claims represents at least one of the connected objects.

[0092] 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 function and arrangement of the elements discussed without departing from the spirit and scope of this disclosure. The various examples may appropriately omit, substitute, 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.

[0093] As described in the background technology, the load-based cell wake-up / activation solution of the related art does not take the user experience into consideration. In addition, in O-RAN, SMO / NFO is generally deployed centrally, and the time granularity of its monitoring data on 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 result in a 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.

[0094] To support the above functional requirements and solve one or more of the above problems, the embodiments of the present disclosure provide 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 disclosure 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 collaboration between base station functions, NFO and cloud platforms.

[0095] FIG1 is a flow chart of a cell control method for a cloud-based base station provided in an embodiment of the present disclosure when applied to a first device side. 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:

[0096] Step 11: Monitor 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.

[0097] Here, the first cell and the second cell are both 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, it is determined that the second cell needs to be activated or woken up when the user experience related information of the first cell satisfies at least one of the following:

[0098] (1) The average user rate of the first cell is lower than a first threshold;

[0099] (2) The median user rate of the first cell is lower than a second threshold;

[0100] (3) The Cumulative Distribution Function (CDF) curve of the user rate of the first cell shifts left by a preset distance as a whole;

[0101] (4) The average user rate in the central area of ​​the first cell is lower than a third threshold;

[0102] (5) The air interface delay of users in the central area of ​​the first cell is greater than a fourth threshold;

[0103] (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;

[0104] (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;

[0105] (8) The average user rate within the coverage area of ​​the second cell is lower than the seventh threshold.

[0106] The above threshold is predetermined, for example, it can be set according to service quality requirements and the like.

[0107] 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 the average user experience information obtained statistically over a period of time, or the predicted value within a future moment or a time window predicted based on a machine learning algorithm.

[0108] 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.

[0109] Here, the first device sends the first information to the second device via 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 based on the first indication information, thereby implementing a cell wake-up / activation solution based on user experience.

[0110] To implement on-demand cloud cell resource configuration, in an embodiment of the present disclosure, the first information sent by the first device 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. The network service capability includes at least one of the following:

[0111] (1) Number of users;

[0112] (2) Average user rate;

[0113] (3) Business volume;

[0114] (4) Business volume of different business types;

[0115] (5) The number of users of different business types;

[0116] (6) User rates for different service types.

[0117] In this way, the second device can determine the cloud platform resources required by the second cell based on the second indication information. 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.

[0118] In the disclosed embodiment, the first device may be a first cloudified base station (e.g., next generation Node B (gNB) 1), and the first cell is a cell of the first cloudified base station. Alternatively, 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 cloudified base station (e.g., gNB1) managed by the Near-RT RIC.

[0119] When the first device is a first cloudified base station, the first cell is the cell of the first cloudified base station, and the second cell is the cell of a second cloudified base station, the first device (i.e., the first cloudified base station) may further receive 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. In this way, the first device may establish a connection with the second cloudified base station based on the second information, and obtain configuration information of the second cell through the connection, so as to facilitate information exchange between the cells. The first cloudified base station and the second cloudified base station may operate on the same or different open clouds (O-Clouds).

[0120] Referring to FIG. 2 , the cell control method of a cloud-based base station according to an embodiment of the present disclosure, when applied to a second device, includes:

[0121] 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.

[0122] Here, the second cell is a neighboring cell of the first cell, the first cell and the second cell are cells of a cloud-based base station, and the first information is triggered and sent by the first device based on user experience information related to the first cell monitored. 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).

[0123] Step 22: Activate or wake up the second cell according to the first indication information.

[0124] Through the above steps, the embodiment of the present disclosure implements a cell wake-up / activation solution based on user experience.

[0125] Optionally, in an embodiment of the present disclosure, 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 future time window, the traffic volume that will move from the first cell to the second cell within a future time window, and the average user rate within 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:

[0126] (1) The average user rate of the first cell is lower than a first threshold;

[0127] (2) The median user rate of the first cell is lower than a second threshold;

[0128] (3) The cumulative distribution function (CDF) curve of the user rate of the first cell shifts leftward by a preset distance as a whole;

[0129] (4) The average user rate in the central area of ​​the first cell is lower than a third threshold;

[0130] (5) The air interface delay of users in the central area of ​​the first cell is greater than a fourth threshold;

[0131] (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;

[0132] (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;

[0133] (8) The average user rate within the coverage area of ​​the second cell is lower than the seventh threshold.

[0134] Optionally, the user experience related information of the first cell is 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 by the first device based on a machine learning algorithm.

[0135] 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 the network service capabilities that the second cell needs to support, and the network service capabilities include at least one of the following:

[0136] (1) Number of users;

[0137] (2) Average user rate;

[0138] (3) Business volume;

[0139] (4) Business volume of different business types;

[0140] (5) The number of users of different business types;

[0141] (6) User rates for different service types.

[0142] At this time, in step 22, the second device can determine the second O-Cloud node corresponding to the second cell based on the first indication information, and determine the cloud platform resources required by the second cell based on 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, where the first creation message is used to instruct 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 with respect to the cell, thereby activating or waking up the second cell.

[0143] 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:

[0144] (1) The second device determines the computing resources required for instantiation of the second cell based on the network service capability requirements indicated by the second indication information. For example, based on the data on the number of users supported by the cell and the service load and the computing resources occupied by the cell obtained in the actual live network test, a mapping function between computing resources and the number of users and service load can be determined or an artificial intelligence (AI) model can be trained. Then, based on the estimated number of users or service 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-mentioned AI model can be the network service load situation (such as uplink / downlink PRB occupancy rate, number of users), the average cell rate, etc., and the output data is the cloud platform resource situation occupied by the cell operation when the network is in the state of the input data (for example: central processing unit (CPU), memory, storage, etc.).

[0145] (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 weighted 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, based on the total computing service demand supported by the cell obtained in the actual live network test and the data of the computing resources occupied by the cell, a mapping function between a computing resource and the total computing service demand can be determined or an AI model can be trained. 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 resource situation occupied by the cell operation when the network is in the state of the input data (for example: CPU, memory, storage, etc.).

[0146] Furthermore, the second device may also send second information to the first cloudified base station, where 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.

[0147] The above describes the method of the embodiment of the present disclosure from the perspectives of the first device and the second device. To help better understand the present disclosure, the method of the present disclosure will be further described below through an example of an interaction process between devices.

[0148] The following example implements a neighbor-triggered cloud-based base station energy-saving method. This method creates a cell or carrier container instance based on a cell wake-up or activation indication triggered by a neighbor. The following uses the O-RAN architecture as an example to illustrate this implementation.

[0149] Example 1: gNB1 monitors cell operation in real time. When it discovers that the cell needs to activate other neighboring base stations or cells, it notifies the RAN Operation Administration and Maintenance (OAM) function in the SMO through the O1 interface, triggering the wake-up / activation of Cell2 (corresponding to gNB2), the neighboring cell of gNB1's serving cell Cell1. This notification also carries information about the network capability requirements for the activated cell. Based on the wake-up / activation indication and the network capability requirements of the activated cell, the SMO determines the resources for creating Cell2. The SMO further creates a container corresponding to the vCU / vDU for the C2 cell through the NFO and O2 interfaces to activate the neighboring cell C2.

[0150] Note: gNB1 and gNB2 run on O-Cloud1 and O-Cloud2, respectively. NFO manages both O-Cloud1 and O-Cloud2. In one possible embodiment, gNB1 and gNB2 may belong to the same manufacturer or different manufacturers. O-Cloud1 and O-Cloud2 are orchestrated and managed by a unified NFO.

[0151] As shown in FIG3 , in this example, the steps of activating or waking up the cell cell2 include:

[0152] 301. gNB1 monitors user experience information of cell Cell1 in real time and determines whether to activate or wake up neighboring cell Cell2. The conditions for activating or waking up the neighboring cell are determined to meet one or more of the following conditions:

[0153] (1) The average data rate of users in the cell is lower than a preset threshold;

[0154] (2) The median rate of cell users is lower than a certain threshold;

[0155] (3) The CDF curve of the cell user rate shifts leftward by a preset distance;

[0156] (4) The average data rate of users in the cell center is lower than a preset threshold;

[0157] (5) The air interface delay of the user in the cell center is greater than a certain threshold;

[0158] (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;

[0159] (7) The average user rate in the coverage area of ​​cell 2 is lower than a preset threshold;

[0160] 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.

[0161] 302. gNB1 sends information to the SMO regarding activation or awakening of neighboring cell Cell2. The information may be sent via the O1 interface defined by O-RAN: activation or awakening of neighboring cell Cell2; network service capabilities required to be supported by the cell to be activated or awakened; where the network service capabilities include one or more of the following:

[0162] (1) Number of users;

[0163] (2) Average user rate;

[0164] (3) Business volume;

[0165] (4) Traffic volume and / or number of users and / or user rates of different service types, etc.

[0166] 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 about waking up the neighboring cell2 and the number of users and / or traffic volume and / or different traffic types that the cell in the woken-up neighboring cell needs to support, so as to perform cell activation / waking up. For example, the SMO determines information such as computing, storage, and network configuration. The determination method may include:

[0167] (1) Based on 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 business loads can be determined or an AI model can be trained based on the data on 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. 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., and the output data is the cloud platform resources occupied by the cell operation (such as CPU, memory, storage) when the network is in the state of the input data.

[0168] (2) When the network service capability includes different types of service volumes and / or numbers of users and / or user rates, the total computing service demand for the cell can be determined by weighting the demands of different service types. The weighting coefficients of different service types can be learned from historical data or preset by experience.

[0169] 304. The OAM function in the SMO may send relevant information to the NFO function in the SMO for cell activation / wake-up.

[0170] 305. The NFO function instantiates and deploys the vCU / vDU container corresponding to cell2 on O-Cloud2 through the O2 interface to activate or wake up cell2.

[0171] 306. O-Cloud2 notifies NFO cell2 that the corresponding vCU / vDU container has been instantiated and deployed.

[0172] 307. NFO notifies the OAM function through the cell activation / wake-up response that the vCU / vDU deployment corresponding to Cell2 has been completed.

[0173] 308. The OAM function performs cell-related configuration on the vCU / vDU corresponding to the deployed cell2.

[0174] 309. The vCU / vDU returns an OAM configuration response message.

[0175] 310. The OAM function updates the address, transport, and security information related to RAN NF1 so that RAN NF1 can establish a connection with RAN NF2.

[0176] 311.Cell2 updates the relevant cell activation configuration information of gNB2 to the gNB1 cell where Cell1 is located.

[0177] Example 2: The Near-RT RIC monitors the status of the serving cell in real time to determine whether to activate / wake up the neighboring cells of a serving cell. When it is found that the cell needs to activate other neighboring base stations or cells, the Near-RT RIC notifies the RAN OAM function in the SMO through the O1 interface, triggering the neighboring cell Cell2 (corresponding to gNB2) of the serving cell Cell1 corresponding to gNB1 to wake up / activate the cell. This information can also carry the network capability requirement information for the activated cell. Based on the wake-up / activation indication and the network capability requirement information of the activated cell, the SMO determines the resources for creating Cell2. The SMO further creates a container corresponding to the vCU / vDU for the C2 cell through the NFO and O2 interfaces to activate the neighboring cell Cell2.

[0178] As shown in Figure 4, this example includes:

[0179] 401-402. The Near-RT RIC collects measurement data of cell Cell1 in real time, monitors user experience information of cell Cell1, and determines whether to activate or wake up the neighboring cell Cell2. The conditions for activating or waking up the neighboring cell are determined to meet one or more of the following conditions:

[0180] (1) The average data rate of users in the cell is lower than a preset threshold;

[0181] (2) The median rate of cell users is lower than a certain threshold;

[0182] (3) The CDF curve of the cell user rate shifts leftward by a preset distance;

[0183] (4) The average data rate of users in the cell center is lower than a preset threshold;

[0184] (5) The air interface delay of the user in the cell center is greater than a certain threshold;

[0185] (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;

[0186] (7) The average user rate in the coverage area of ​​cell 2 is lower than a preset threshold;

[0187] 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.

[0188] 403-404. The Near-RT RIC sends information on determining to activate or wake up the neighboring cell Cell2 to the SMO, which may be sent via the O1 interface defined by O-RAN. The Near-RT RIC also sends information on the network service capabilities that need to be supported by the cell of the activated or woken neighboring cell. The network service capabilities include one or more of the following:

[0189] (1) Number of users;

[0190] (2) Average user rate;

[0191] (3) Business volume;

[0192] (4) Traffic volume and / or number of users and / or user rates of different service types, etc.

[0193] 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 about waking up the neighboring cell2 and the number of users and / or traffic volume and / or related information of different traffic types that the cell of the woken-up neighboring cell needs to support. The determination method may include:

[0194] (1) Based on 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 business loads can be determined or an AI model can be trained based on the data on 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. 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., and the output data is the cloud platform resources occupied by the cell operation (such as CPU, memory, storage) when the network is in the state of the input data.

[0195] (2) When the network service capability includes different types of service volumes and / or numbers of users and / or user rates, the total computing service demand for the cell can be determined by weighting the demands of different service types. The weighting coefficients of different service types can be learned from historical data or preset by experience.

[0196] 405. The OAM function in the SMO may send relevant information to the NFO function in the SMO.

[0197] 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.

[0198] 407. O-Cloud2 notifies NFO cell2 that the corresponding vCU / vDU container has been instantiated and deployed.

[0199] 408.NFO notifies the OAM function that the vCU / vDU deployment corresponding to Cell2 has been completed.

[0200] 409. The OAM function performs cell-related configuration on the vCU / vDU corresponding to the deployed cell2;

[0201] 410. The vCU / vDU returns an OAM configuration response message.

[0202] 411. The OAM function updates the address, transport, and security information related to RAN NF1 so that RAN NF1 can establish a connection with RAN NF2.

[0203] 412. Cell2 updates the relevant cell activation configuration information of gNB2 to the gNB1 cell where Cell1 is located.

[0204] The above describes various methods of the embodiments of the present disclosure. The following further provides apparatuses for implementing the above methods.

[0205] Referring to FIG5 , an embodiment of the present disclosure further provides a first device, including:

[0206] A monitoring module 501 is configured to monitor user experience 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;

[0207] A first sending module 502 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;

[0208] The first cell and the second cell are both cells of cloud-based base stations.

[0209] Through the above modules, the embodiments of the present disclosure implement cell wake-up / activation based on user experience.

[0210] Optionally, the monitoring module 501 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:

[0211] The average user rate of the first cell is lower than a first threshold;

[0212] The median user rate of the first cell is lower than a second threshold;

[0213] The cumulative distribution function CDF curve of the user rate of the first cell shifts left by a preset distance as a whole;

[0214] The average user rate in the central area of ​​the first cell is lower than a third threshold;

[0215] The air interface delay of users in the central area of ​​the first cell is greater than a fourth threshold;

[0216] 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;

[0217] 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;

[0218] The average rate of users in the coverage area of ​​the second cell is lower than a seventh threshold.

[0219] 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.

[0220] Optionally, the first sending module 502 is further configured to send the first information to the second device through the first interface.

[0221] 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, where the network service capability includes at least one of the following:

[0222] Number of users;

[0223] Average user rate;

[0224] Business volume;

[0225] Business volume of different business types;

[0226] The number of users of different business types;

[0227] User rates for different service types.

[0228] Optionally, the first device is a first cloudified base station gNB1, and the first cell is a cell of the first cloudified base station;

[0229] or,

[0230] 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.

[0231] 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:

[0232] 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, the related information including at least one of address, transmission, and security information;

[0233] 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.

[0234] It should be noted that the device in this embodiment corresponds to the method applied to the first device side, and the implementation methods in the above embodiments are all applicable to the embodiments of this device and can achieve the same technical effects. The above-mentioned device provided in the embodiment of the present disclosure can implement all the method steps implemented in the above-mentioned method embodiment and can achieve the same technical effects. The parts and beneficial effects of this embodiment that are the same as those in the method embodiment will not be described in detail here.

[0235] Referring to FIG6 , an embodiment of the present disclosure further provides a terminal 600 , including: a transceiver 601 and a processor 602 ;

[0236] The processor 602 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;

[0237] 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, and the first indication information is used to instruct the activation or awakening of the second cell;

[0238] The first cell and the second cell are both cells of cloud-based base stations.

[0239] Optionally, the processor 602 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:

[0240] The average user rate of the first cell is lower than a first threshold;

[0241] The median user rate of the first cell is lower than a second threshold;

[0242] The cumulative distribution function CDF curve of the user rate of the first cell shifts left by a preset distance as a whole;

[0243] The average user rate in the central area of ​​the first cell is lower than a third threshold;

[0244] The air interface delay of users in the central area of ​​the first cell is greater than a fourth threshold;

[0245] 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;

[0246] 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;

[0247] The average rate of users in the coverage area of ​​the second cell is lower than a seventh threshold.

[0248] 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.

[0249] Optionally, the transceiver 602 is further configured to send the first information to the second device through the first interface.

[0250] 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, where the network service capability includes at least one of the following:

[0251] Number of users;

[0252] Average user rate;

[0253] Business volume;

[0254] Business volume of different business types;

[0255] The number of users of different business types;

[0256] User rates for different service types.

[0257] Optionally, the first device is a first cloudified base station gNB1, and the first cell is a cell of the first cloudified base station;

[0258] or,

[0259] 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.

[0260] 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,

[0261] The transceiver 601 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, the related information including at least one of address, transmission, and security information;

[0262] The processor 602 is further configured 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.

[0263] It should be noted that the device in this embodiment corresponds to the method applied to the first device side, and the implementation methods in the above embodiments are all applicable to the embodiments of this device and can achieve the same technical effects. The above-mentioned device provided in the embodiment of the present disclosure can implement all the method steps implemented in the above-mentioned method embodiment and can achieve the same technical effects. The parts and beneficial effects of this embodiment that are the same as those in the method embodiment will not be described in detail here.

[0264] Referring to FIG. 7 , an embodiment of the present disclosure further provides a second device, including:

[0265] 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 instruct activation or wake-up of a second cell;

[0266] A first processing module 702 is configured to activate or wake up the second cell according to the first indication information;

[0267] 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.

[0268] Based on the above modules, the embodiments of the present disclosure implement cell wake-up / activation based on user experience.

[0269] 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:

[0270] The average user rate of the first cell is lower than a first threshold;

[0271] The median user rate of the first cell is lower than a second threshold;

[0272] The cumulative distribution function CDF curve of the user rate of the first cell shifts left by a preset distance as a whole;

[0273] The average user rate in the central area of ​​the first cell is lower than a third threshold;

[0274] The air interface delay of users in the central area of ​​the first cell is greater than a fourth threshold;

[0275] 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;

[0276] 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;

[0277] The average rate of users in the coverage area of ​​the second cell is lower than a seventh threshold.

[0278] 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.

[0279] Optionally, the first receiving module 701 is further configured to receive the first information sent by the first device through a first interface.

[0280] 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, where the network service capability includes at least one of the following:

[0281] Number of users;

[0282] Average user rate;

[0283] Business volume;

[0284] Business volume of different business types;

[0285] The number of users of different business types;

[0286] User rates for different service types.

[0287] Optionally, the first processing module 702 is further configured to:

[0288] Determine, based on the first indication information, a second O-Cloud node corresponding to the second cell, and, based on 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;

[0289] Sending a first creation message to the second O-Cloud node, where the first creation message is used to instruct instantiation and deployment of a vCU / vDU container corresponding to the second cell;

[0290] 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.

[0291] Optionally, the second device further includes:

[0292] A first sending module is 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, the related information including at least one of address, transmission, and security information;

[0293] The first cloudified base station is a base station belonging to the first cell, and the second cloudified base station is a base station belonging to the second cell.

[0294] It should be noted that the device in this embodiment corresponds to the method applied to the second device side, and the implementation methods in the above embodiments are all applicable to the embodiments of this device and can achieve the same technical effects. The above-mentioned device provided in the embodiment of the present disclosure can implement all the method steps implemented in the above-mentioned method embodiment and can achieve the same technical effects. The parts and beneficial effects of this embodiment that are the same as those in the method embodiment will not be described in detail here.

[0295] Referring to FIG8 , an embodiment of the present disclosure further provides a network device 800 , including: a transceiver 801 and a processor 802 ;

[0296] The transceiver 801 is configured 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 instruct activation or wake-up of a second cell;

[0297] The processor 802 is configured to activate or wake up the second cell according to the first indication information;

[0298] 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.

[0299] 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:

[0300] The average user rate of the first cell is lower than a first threshold;

[0301] The median user rate of the first cell is lower than a second threshold;

[0302] The cumulative distribution function CDF curve of the user rate of the first cell shifts left by a preset distance as a whole;

[0303] The average user rate in the central area of ​​the first cell is lower than a third threshold;

[0304] The air interface delay of users in the central area of ​​the first cell is greater than a fourth threshold;

[0305] 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;

[0306] 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;

[0307] The average rate of users in the coverage area of ​​the second cell is lower than a seventh threshold.

[0308] 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.

[0309] Optionally, the transceiver 801 is further configured to receive the first information sent by the first device through a first interface.

[0310] 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, where the network service capability includes at least one of the following:

[0311] Number of users;

[0312] Average user rate;

[0313] Business volume;

[0314] Business volume of different business types;

[0315] The number of users of different business types;

[0316] User rates for different service types.

[0317] Optionally, the processor 802 is further configured to:

[0318] Determine, based on the first indication information, a second O-Cloud node corresponding to the second cell, and, based on 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;

[0319] Sending a first creation message to the second O-Cloud node, where the first creation message is used to instruct instantiation and deployment of a vCU / vDU container corresponding to the second cell;

[0320] 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.

[0321] Optionally, the transceiver 801 is further 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;

[0322] The first cloudified base station is a base station belonging to the first cell, and the second cloudified base station is a base station belonging to the second cell.

[0323] It should be noted that the device in this embodiment corresponds to the method applied to the second device side, and the implementation methods in the above embodiments are all applicable to the embodiments of this device and can achieve the same technical effects. The above-mentioned device provided in the embodiment of the present disclosure can implement all the method steps implemented in the above-mentioned method embodiment and can achieve the same technical effects. The parts and beneficial effects of this embodiment that are the same as those in the method embodiment will not be described in detail here.

[0324] Please refer to Figure 9. An embodiment of the present disclosure 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, the computer program implements the various processes of the cell control method embodiment of the cloud-based base station executed by the first device, and can achieve the same technical effect. To avoid repetition, it will not be described here.

[0325] Please refer to Figure 10. An embodiment of the present disclosure further provides a network device 1000, including a processor 1001, a memory 1002, and a computer program stored on 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-based base station executed by the second device is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0326] The present disclosure 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 cloud-based base station described above is implemented, and the same technical effect is achieved. To avoid repetition, the details are not described 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.

[0327] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.

[0328] Through the description of the above embodiments, those skilled in the art can clearly understand that the above embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present disclosure, or the part that contributes to the relevant technology, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present disclosure.

[0329] The embodiments of the present disclosure are described above in conjunction with the accompanying drawings, but the present disclosure 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 disclosure, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present disclosure and the claims, all of which are protected by the present disclosure.

Claims

1. A cell control method for a cloud-based base station, applied to a first device, the method comprising: 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, wherein: The first cell and the second cell are both cells of cloud-based base stations.

3. The method according to claim 1, wherein: 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, wherein: 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, wherein: 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, wherein: 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, wherein: 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, wherein: 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, the method comprising: 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, wherein: 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, wherein: 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, wherein: 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, wherein: 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, wherein: 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, wherein: 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, further comprising: 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 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, 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 according to any one of claims 1 to 8.

19. A second device 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, comprising: 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 having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method according to any one of claims 1 to 16.

Images