Cell switching method and related device

Abstract

The invention provides a cell switching method and a related device applied to the field of communication. In the technical scheme provided by the invention, a decision-making device obtains at least one sensing result from at least one sensing device and a sensing type of each sensing result; and determining a cell switching strategy of the terminal equipment based on a cell switching decision function associated with at least one sensing type corresponding to the at least one sensing result one by one. According to the technical scheme provided by the invention, the decision-making equipment can obtain the cell switching strategy based on the sensing result by utilizing the cell switching decision-making function as long as the sensing result of which the sensing type is associated with the cell switching decision-making function is obtained, so that the efficiency of obtaining the cell switching strategy can be improved, the time delay of obtaining the cell switching strategy is reduced, and the user experience is improved. And thus, the cell switching delay of the UE is reduced.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a cell switching method and related devices. Background Art

[0002] In a communication system, such as the 5th generation (5G) system, there is often a need for user equipment (UE) to perform cell switching in order to improve transmission performance between the UE and a radio access network (AN) device.

[0003] However, in the existing cell switching process, the cell switching delay of the UE is relatively long. Summary of the invention

[0004] The present application provides a method, an apparatus and a system, which can implement cell switching of UE, so as to reduce the cell switching delay of UE.

[0005] In a first aspect, the present application provides a cell switching method, the method comprising: obtaining at least one perception result and at least one perception type corresponding to the at least one perception result, the at least one perception type being the perception type of each perception result in the at least one perception result; determining a cell switching strategy according to a cell switching decision function associated with all or part of the perception types in the at least one perception type, the input of the cell switching decision function being the perception results of all or part of the perception types, the cell switching strategy comprising at least one of the following: performing a cell switching on a first terminal device, not performing a cell switching on the first terminal device, or a target cell of the first terminal device.

[0006] The method may be implemented by a core network device. For example, the method may be implemented by a session management function entity.

[0007] The method may also be implemented by an access network device (network device). For example, the method may be implemented by a wireless access network device.

[0008] The execution subject of this method can be called a decision-making device.

[0009] In this method, the perception result includes the perception result obtained by a device capable of performing the perception task in the communication network performing the perception task.

[0010] The perception task in this method may include one or more of several elements such as perception object, perception operation and perception result. Among them, the perception object can be understood as what kind of information, signal or data the perception operation is performed on, or what information, signal or data is the input of the perception operation; the perception operation can be understood as what operation is performed on the perception object, such as collection, measurement or prediction; the perception result can be understood as the output obtained by the perception operation.

[0011] Optionally, the sensing task may also include the source of the sensing object and / or the sensing device (also called sensing entity). The source of the sensing object refers to who provides the sensing object; the sensing device refers to the device that performs the sensing task.

[0012] Taking the example of a terminal device measuring a perception reference signal sent by a network device, the terminal device is the perception device, the network device is the source of the perception object, the perception reference signal is the perception object, the measurement is the perception operation, and the result of the measurement is the perception result.

[0013] The perception task may be to measure the perception reference signal, and accordingly, the perception result may be the measurement result of the perception reference signal.

[0014] The perception reference signal in this method can be understood as a signal emitted for realizing perception. Perception, as the name implies, is to detect the state of the surrounding environment, the position, direction, height, speed, and distance of an object, and can also determine one or more of the shape or material of an object, or even determine a person's gestures, etc., but is not limited to this, and can also include other perceptible contents.

[0015] The perception reference signal in this method may reuse the reference signal used for measurement in the prior art, for example, may reuse the reference signal used for cell measurement in the prior art.

[0016] The perception reference signal in this method may also be a newly defined reference signal other than the reference signal in the prior art. For example, the time-frequency resources used by the perception reference signal in this method are different from one or more of the time domain resources, frequency domain resources, or sequence resources used by the reference signal in the prior art.

[0017] The sensing task may specifically be that the terminal device measures the sensing reference or the network device measures the sensing reference signal. Accordingly, the sensing result may be the measurement result of the terminal device on the sensing reference signal or the measurement result of the network device on the sensing reference signal.

[0018] The measurement of the perception reference signal by the terminal device may be: the measurement of the perception reference signal sent by itself, the measurement of the perception reference signal sent by the terminal device to the network device, or the measurement of the perception reference signal sent by other terminal devices by the terminal device.

[0019] The measurement of the perception reference signal by the network device may be: the measurement of the perception reference signal sent by the network device itself, the measurement of the perception reference signal sent by the network device to the terminal device, or the measurement of the perception reference signal sent by other network devices by the network device.

[0020] The perception task may be a perception task performed by a sensor, and correspondingly, the perception result may be a perception result of the sensor.

[0021] The sensor can be any of the following: image sensor, position sensor, rain sensor, speed sensor, acceleration sensor, gas sensor, optical sensor.

[0022] The perception task may be to predict the performance of the network device, and accordingly, the perception result is the performance prediction result of the network device.

[0023] Predicting the performance of a network device may be predicting the traffic volume of the network device. Accordingly, the perception result is a traffic volume prediction result of the network device.

[0024] The prediction of the performance of the network device may be a prediction of the signal interference of the network device, and accordingly, the perception result is an interference prediction result of the network device.

[0025] In this method, the acquired perception results may be one or more. When the acquired perception results are multiple, the multiple perception results may be perception results of the same type of perception tasks, or may be perception results of different types of perception tasks.

[0026] For example, when two perception results are obtained, one of the perception results may be a measurement result obtained by the terminal device measuring the perception reference signal sent by itself, and the other perception result may be an image obtained by the image sensor through image acquisition. This example is a case where perception results of different types of perception tasks are obtained.

[0027] When the multiple perception results are the perception results of the same type of perception tasks, the multiple perception results are usually the results obtained by different devices performing the same type of perception tasks. For example, a terminal device measures a perception reference signal sent by itself to obtain a perception result, and another terminal device measures a perception reference signal sent by itself to obtain a perception result.

[0028] In this method, the perception type of the perception result may be associated with one or more of the perception device, the perception object, the source of the perception object, and the type of the perception result of the perception task corresponding to the perception result. In other words, the perception type of the perception result may be determined based on one or more of the information of the type of the perception device, the type of the perception object, the source of the perception object, the type of the perception task, and the type of the perception result of the perception task corresponding to the perception result.

[0029] As an example, the perception type of the perception result can be determined based on the type of the perception device. For example, when the perception device of the perception task corresponding to the perception result is an image sensor, a position sensor, a rain sensor, a speed sensor, an acceleration sensor, a gas sensor, or an optical sensor, the perception type of the perception result can be determined based on the type of the perception device. In this case, the perception types are image, position, rain, speed, acceleration, gas concentration and gas composition, and light intensity.

[0030] As an example, the perception type of the perception result can be determined based on the type of the perception result. For example, when the type of the perception result is a traffic volume prediction value of a network device or a signal interference prediction value of a network device, the perception type of the perception result can be determined based on the type of the perception result, and the perception types are respectively the traffic volume prediction value of the network device or the signal interference prediction value of the network device.

[0031] As an example, the perception type of the perception result may be determined based on at least one element included in the perception task corresponding to the perception result. Optionally, the at least one element may include one or more of a perception device, a source of a perception object, a perception object, and a perception operation. For example, the perception result is the signal strength obtained by the terminal device measuring the perception reference signal sent by the network device, and the perception type may be that the terminal device measures the perception reference signal sent by the network device; the perception result is the signal strength obtained by the terminal device measuring the perception reference signal sent by itself, and the perception type may be that the terminal device measures the perception reference signal sent by itself; when the perception result is the signal strength obtained by the terminal device measuring the perception reference signal sent by other terminal devices, the perception result may be that the terminal device measures the perception reference signal sent by other terminal devices; when the perception result is the signal strength obtained by the network device measuring the perception reference signal sent by itself, the perception type may be that the network device measures the perception reference signal sent by itself; when the perception result is the signal strength obtained by the network device measuring the perception reference signal sent by other network devices, the perception type may be that the network device measures the perception reference signal sent by other network devices; when the perception result is the signal strength obtained by the network device measuring the perception reference signal sent by other network devices, the perception type may be that the network device measures the perception reference signal sent by other network devices; when the perception result is the signal strength obtained by the network device measuring the perception reference signal sent by the terminal device, the perception type may be that the network device measures the perception reference signal sent by the terminal device.

[0032] In some examples, the sensing type can be determined based on one or more of the sensing device, the source of the sensing object, the sensing object, the sensing operation, and the sensing result included in the sensing task. For example, when the sensing result is the signal strength obtained by the network device measuring the sensing reference signal sent by other network devices, the sensing type is the signal strength obtained by the network device measuring the sensing reference signal sent by other network devices. In this example, the sensing type determined based on one or more of the sensing device, the source of the sensing object, the sensing object, the sensing operation, and the sensing result included in the sensing task can be called the type of the sensing task.

[0033] In this method, the decision-making device can obtain the perception result by one of the following ways: receiving the perception result from the perception device, and the decision-making device performing the perception task to obtain the perception result. The perception result can be sent directly by the perception device to the decision-making device, or forwarded by the perception device to the decision-making device through other communication devices.

[0034] When the decision-making device obtains multiple perception results, the different perception results in the multiple perception results may be obtained in the same way or in different ways. For example, some perception results are sent directly by the perception device to the decision-making device, and some perception results are sent by the perception device to the decision-making device through other communication devices. For another example, all perception results are sent directly by the perception device to the decision-making device.

[0035] In this method, when the sensing device reports the sensing result, the sensing type of the sensing result can be simultaneously reported. In this case, the decision-making device can directly obtain the sensing type of the sensing result based on the information reported by the sensing device.

[0036] Alternatively, when the sensing device reports the sensing result, the sensing type of the sensing result may not be reported, but determined by the decision device. For example, when the sensing device is a sensor, the decision device may determine the sensing type based on the type of the sensing device.

[0037] In this method, when the decision-making device obtains multiple perception results, the methods for obtaining the perception types of different perception results in the multiple perception results may be the same or different.

[0038] For example, when the perception result obtained by the decision-making device includes the perception result reported by the image sensor after image acquisition and the perception result reported by the terminal device after measuring the perception reference signal sent by itself, the decision-making device can determine the perception type of the previous perception result based on the fact that the previous perception result is received from the image sensor, that is, based on the type of the image sensor; the decision-making device can determine the perception type of the perception result reported by the terminal based on the perception type indicated by the information reported by the terminal device.

[0039] In this method, the process of the sensing device obtaining the sensing result can be achieved through artificial intelligence (AI) or non-AI methods.

[0040] In an example where the perception device is implemented by AI, the perception device may obtain the perception result by using an AI model. Examples of AI models may include deep neural networks, and examples of deep neural networks may include feedforward neural networks, convolutional neural networks, or recursive neural networks.

[0041] In this method, the decision device can obtain one or more cell switching decision functions, each of which is associated with one or more perception types of perception results, and the input of the cell switching decision function is usually the perception result of the perception type associated with the cell switching decision function. In other words, the cell switching decision function is associated with the perception types of which the input of the cell switching decision function is the perception results of the perception types.

[0042] In this method, the cell switching decision function can be implemented by AI or non-AI methods.

[0043] In an example in which the cell switching decision function can be implemented by AI, the cell switching decision function may include an AI model. Examples of AI models may include deep neural networks. Examples of deep neural networks may include feedforward neural networks, convolutional neural networks, or recursive neural networks, etc.

[0044] After the cell switching decision function inputs the sensing result of the associated sensing type, it can make a decision based on the input sensing result to obtain a cell switching strategy. The cell switching strategy includes at least one of the following: performing a cell switching on the terminal device, not performing a cell switching on the terminal device, or a target cell of the terminal device.

[0045] As an example, after the cell switching decision function inputs the perception result, it can determine whether the terminal device can perform cell switching. If it is determined that the terminal device can perform cell switching, it can also output the target cell of the terminal device.

[0046] In some implementations, when the cell switching decision function determines that the terminal device cannot be switched to a cell, it may also output a target cell for the terminal device, and the target cell may be the same cell as the current serving cell of the terminal device.

[0047] In this method, multiple cell switching decision functions may be pre-implemented, and different cell switching decision functions in the multiple cell switching decision functions may be associated with different perception type sets. Each perception type set may include one or more perception types, and if the perception types in one perception type set are completely the same as the perception types in another perception type set, the two perception type sets are considered to be the same, and in other cases, the two perception type sets are considered to be different.

[0048] For example, if one perception type set includes three perception types A, B, and C, and another perception type combination includes A, or B, or C, or A and B, or A and C, or B and C, the two perception type sets can be considered different.

[0049] In this method, because the decision-making device finds the associated cell switching decision function based on the perception type of the acquired perception result, that is, the decision-making device can currently obtain the perception results of how many types of perception types, and determines the cell switching strategy based on the corresponding cell switching decision function. Therefore, as long as the decision-making device obtains the perception result of the perception type that can be associated with at least one cell switching decision function, the cell switching strategy can be obtained based on the cell switching decision function. In the case where the decision-making device obtains the perception results of more perception types, the decision-making device can determine the cell switching decision based on the cell switching decision function associated with more perception types. Because more accurate cell switching decisions can usually be obtained based on more perception results, this method can also improve the accuracy of cell switching.

[0050] In this method, optionally, the decision-making device may execute the method periodically, or may trigger the execution of the method based on instructions from other devices.

[0051] In this method, after the decision-making device determines the cell switching strategy, it can notify the terminal device involved in the cell switching strategy and / or the current serving network device of the terminal device of the cell switching strategy, so that the terminal device and the network device can continue the subsequent process of cell switching.

[0052] In some implementations of the method, the decision-making device may send first indication information, where the first indication information is used to indicate the perception devices that need to report the perception results, or in other words, the first indication information is used to indicate which perception devices need to report the perception results.

[0053] As an example, the first indication information may carry the type of the sensing device, indicating that the sensing device of this type needs to report the sensing result. In this way, after receiving the first indication information, the sensing device indicated by the first indication information may report the sensing result.

[0054] It can be understood that the first indication information here may be sent periodically by the decision-making device, or may be triggered by the decision-making device receiving a control instruction from other devices or an administrator.

[0055] As an example, the time interval between two consecutive transmissions of the first indication information by the decision-making device is usually greater than the time interval between two consecutive transmissions of the perception result by the perception device. That is, in this example, the first indication information is used to inform the perception device that after detecting the perception result, it should report the perception result according to the logic or rules that the perception result needs to follow, rather than to trigger the perception device to send the perception result.

[0056] In some implementations, the method may further include: sending second indication information, where the second indication information is used to indicate a perception type of the perception result sent by the first perception device.

[0057] Optionally, the first indication information and the second indication information may be carried in the same signaling.

[0058] In a second aspect, the present application provides a cell switching method, which is applied to a first perception device, and the method includes: receiving first indication information, the first indication information is used to instruct a target perception device to report a perception result, and the target perception device includes at least one perception device; when the first perception device is the target perception device, sending the perception result obtained by the first perception device performing the perception task.

[0059] In the method, the target sensing device refers to the sensing device that needs to report the sensing result, or the sensing device that should report the sensing result. That is to say, after receiving the first indication information, the sensing device can determine which sensing devices or what kind of sensing devices need to report the sensing result based on the first indication information; if it is the sensing device that needs to report the sensing result indicated by the first indication information, it reports the sensing result obtained by performing the sensing task.

[0060] The first sensing device in the method may be any sensing device. As an example, the first indication information includes the type of the target sensing device.

[0061] The first sensing device may be a network device, a terminal device, an image sensor, a position sensor, a rain sensor, a speed sensor, an acceleration sensor, a gas sensor or an optical sensor, or may be other devices that can perform sensing tasks and obtain sensing results.

[0062] As an example, the first indication information may include the type of the target perception task. The target perception task can be understood as a perception task that the perception device needs to perform and report the perception result. For example, some perception devices can perform multiple perception tasks to obtain multiple perception results. In this scenario, the decision-making device can send the first indication information according to the perception type of the perception result it needs. The first indication information includes the type of perception task corresponding to the perception result required by the decision-making device. In this way, after the perception device receives the first indication information, if it can perform the perception task indicated by the first indication information, it can perform the perception task and report the perception result. If it does not have the ability to perform the perception task indicated by the first indication information, it can ignore the first indication information.

[0063] In some possible implementations, the method may further include: sending second indication information, where the second indication information is used to indicate a perception type of the perception result sent by the first perception device.

[0064] Optionally, the first indication information and the second indication information may be carried in the same signaling.

[0065] For the relevant contents of the perception type of the perception result, please refer to the contents in the first aspect and will not be repeated here.

[0066] In a third aspect, the present application provides a device. The device may include a module corresponding to the method / operation / step / action described in the first aspect, and the module may be a hardware circuit, or software, or a combination of a hardware circuit and software.

[0067] In one design, the apparatus may include a processing module and a communication module. The communication module is used to perform the sending action and the receiving action performed by the decision device in the method described in the first aspect above, and the processing module is used to perform the action involving processing performed by the decision device in the method described in the first aspect above.

[0068] In one design, the device may be a network device, or a device, module, circuit or chip configured to be set in the network device, or a device that can be used in conjunction with the network device.

[0069] In one design, the device may be a core network element, or may be a device, module, circuit or chip configured in a core network element, or may be a device that can be used in conjunction with a core network element.

[0070] In a fourth aspect, the present application provides a device. The device may include a module corresponding to the method / operation / step / action described in the second aspect, and the module may be a hardware circuit, or software, or a combination of a hardware circuit and software.

[0071] In one design, the apparatus may include a processing module and a communication module. The communication module is used to perform the sending action and the receiving action performed by the perception device in the method described in the second aspect above, and the processing module is used to perform the action involving processing performed by the perception device in the method described in the first aspect or the second aspect above.

[0072] In one design, the device may be a network device, or a device, module, circuit or chip configured to be set in the network device, or a device that can be used in conjunction with the network device.

[0073] In one design, the apparatus may be a terminal device, or may be a device, module, circuit or chip configured and arranged in a core network element, or may be a device that can be used in conjunction with a terminal device.

[0074] In one design, the device may be a sensor, or a device, module, circuit or chip configured in a sensor, or a device that can be used in conjunction with a sensor.

[0075] In a fifth aspect, a device is provided, comprising a processor and a storage medium, wherein the storage medium stores instructions, which, when executed by the processor, enable a method as in the first aspect or any possible implementation of the first aspect to be implemented, or enable a method as in the second aspect or any possible implementation of the second aspect to be implemented.

[0076] In a sixth aspect, a device is provided, comprising a processor, wherein the processor is used to process data and / or information so that a method as in the first aspect or any possible implementation of the first aspect is implemented, or a method as in the second aspect or any possible implementation of the second aspect is implemented.

[0077] In one design, the device may be a network device, or a device, module, circuit or chip configured to be set in the network device, or a device that can be used in conjunction with the network device.

[0078] In one design, the apparatus may be a terminal device, or may be a device, module, circuit or chip configured and arranged in a core network element, or may be a device that can be used in conjunction with a terminal device.

[0079] In one design, the device may be a sensor, or a device, module, circuit or chip configured in a sensor, or a device that can be used in conjunction with a sensor.

[0080] Optionally, the device may also include a memory, the memory being used to store programs or instructions, and the processor being used to run the programs or instructions so that the method in the first aspect or any possible implementation of the first aspect is implemented, or the method in the second aspect or any possible implementation of the second aspect is implemented.

[0081] Optionally, the device may further include the transceiver circuit, or an input / output interface.

[0082] In the seventh aspect, a chip is provided, comprising a processor, wherein the processor is used to run a program or instruction so that the method in the first aspect or any possible implementation of the first aspect is implemented, or the method in the second aspect or any possible implementation of the second aspect is implemented.

[0083] Optionally, the chip may further include a memory for storing programs or instructions. Optionally, the chip may further include the transceiver circuit, or an input / output interface.

[0084] In an eighth aspect, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes instructions, which, when executed by a processor, enables the method in the first aspect or any possible implementation of the first aspect to be implemented, or enables the method in the second aspect or any possible implementation of the second aspect to be implemented.

[0085] In a ninth aspect, a computer program product is provided, the computer program product comprising computer program code or instructions, which, when executed, enables the method in the first aspect or any possible implementation of the first aspect to be implemented, or enables the method in the second aspect or any possible implementation of the second aspect to be implemented.

[0086] In a tenth aspect, a system is provided, comprising a combination of one or more of the following devices: a communication device executing the first aspect or any possible implementation of the first aspect, or a communication device executing the second aspect or any possible implementation of the second aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0087] Figure 1 It is a possible application framework diagram in a communication system;

[0088] Figure 2 It is another possible application framework diagram in the communication system;

[0089] Figure 3 is a schematic diagram of a communication system applicable to an embodiment of the present application;

[0090] Figure 4 is a schematic diagram of another communication system applicable to an embodiment of the present application;

[0091] Figure 5 An exemplary flow chart of the sensing working mode of the present application;

[0092] Figure 6 is a schematic diagram of another communication system applicable to an embodiment of the present application;

[0093] Figure 7 It is a schematic diagram of an application scenario applicable to an embodiment of the present application;

[0094] Figure 8 An exemplary flow chart of the cell switching method of the present application;

[0095] Fig. 9 Another exemplary flow chart of the cell switching method of the present application;

[0096] Fig.10 Another exemplary flow chart of the cell switching method of the present application;

[0097] Fig.11 Another exemplary flow chart of the cell switching method of the present application;

[0098] Fig.12 Another exemplary flow chart of the cell switching method of the present application;

[0099] Fig.13 Another exemplary flow chart of the cell switching method of the present application;

[0100] Fig.14 Another exemplary flow chart of the cell switching method of the present application;

[0101] Fig.15 An exemplary flow chart of the communication device of the present application;

[0102] Fig.16 Another exemplary flow chart of the communication device of the present application. DETAILED DESCRIPTION

[0103] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0104] In order to clearly describe the technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish the same or similar items with substantially the same functions and effects. Those skilled in the art can understand that words such as "first" and "second" do not limit the quantity and execution order, and words such as "first" and "second" do not necessarily limit the difference.

[0105] It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0106] In the embodiments of the present application, "at least one" refers to one or more, and "plurality" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0107] The technical solution provided in the present application can be applied to various communication systems, such as: the fifth generation (5th generation, 5G) or new radio (new radio, NR) system, long term evolution (long term evolution, LTE) system, LTE frequency division duplex (frequency division duplex, FDD) system, LTE time division duplex (time division duplex, TDD) system, wireless local area network (wireless local area network, WLAN) system, satellite communication system, future communication system, such as the sixth generation (6th generation, 6G) mobile communication system, or a fusion system of multiple systems, etc. The technical solution provided in the present application can also be applied to device to device (D2D) communication, vehicle-to-everything (V2X) communication, machine to machine (M2M) communication, machine type communication (MTC), and Internet of things (IoT) communication system or other communication systems.

[0108] A device in a communication system can send a signal to another device or receive a signal from another device. The signal may include information, signaling, or data, etc. The device may also be replaced by an entity, a network entity, a communication device, a communication module, a node, a communication node, etc., and the present disclosure is described by taking the device as an example. For example, the communication system may include at least one terminal device and at least one network device. The network device may send a downlink signal to the terminal device, and / or the terminal device may send an uplink signal to the network device. It is understandable that the terminal device in the present disclosure may be replaced by the first device, and the network device may be replaced by the second device, and the two perform the corresponding communication method in the present disclosure.

[0109] In an embodiment of the present application, the terminal device may also be referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station, remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent or user device.

[0110] The terminal device may be a device that provides voice / data, such as a handheld device or a vehicle-mounted device with a wireless connection function. At present, some examples of terminals are: mobile phones, tablet computers, laptop computers, PDAs, mobile internet devices (MID), wearable devices, virtual reality (VR) devices, augmented reality (AR) devices, wireless terminals in industrial control, wireless terminals in self driving, wireless terminals in remote medical surgery, wireless terminals in smart grids, wireless terminals in transportation safety, wireless terminals in smart cities, wireless terminals in smart homes, cellular phones, cordless phones, session initiation protocol (SIP) phones, wireless local loop (WLL) stations, personal digital assistants (PDAs), handheld devices with wireless communication functions, computing devices or other processing devices connected to wireless modems, wearable devices, terminal devices in 5G networks or future evolved public land mobile communication networks (public land mobile The embodiments of the present application do not limit this.

[0111] As an example but not limitation, in the embodiments of the present application, the terminal device may also be a wearable device. Wearable devices may also be referred to as wearable smart devices, which are a general term for wearable devices that are intelligently designed and developed using wearable technology for daily wear, such as glasses, gloves, watches, clothing, and shoes. A wearable device is a portable device that is worn directly on the body or integrated into the user's clothes or accessories. Wearable devices are not only hardware devices, but also powerful functions achieved through software support, data interaction, and cloud interaction. Broadly speaking, wearable smart devices include full-featured, large-sized, and fully or partially independent of smartphones, such as smart watches or smart glasses, as well as devices that only focus on a certain type of application function and need to be used in conjunction with other devices such as smartphones, such as various types of smart bracelets and smart jewelry for vital sign monitoring.

[0112] In the embodiment of the present application, the device for realizing the function of the terminal device may be a terminal device, or a device capable of supporting the terminal device to realize the function, such as a chip system, which may be installed in the terminal device or used in combination with the terminal device. In the embodiment of the present application, the chip system may be composed of a chip, or may include a chip and other discrete devices. In the embodiment of the present application, only the device for realizing the function of the terminal device is used as an example for explanation, and the scheme of the embodiment of the present application is not limited.

[0113] The network device in the embodiment of the present application may be a device for communicating with a terminal device, and the network device may also be referred to as an access network device or a wireless access network device, such as a base station. The network device in the embodiment of the present application may refer to a wireless access network (RAN) node (or device) that connects a terminal device to a wireless network. Base station can broadly cover various names as follows, or be replaced with the following names, such as: NodeB, evolved NodeB (eNB), next generation NodeB (gNB), relay station, access point, transmission point (TRP), transmission point (TP), master station, auxiliary station, multi-standard wireless (motor slide retainer, MSR) node, home base station, network controller, access node, wireless node, access point (AP), transmission node, transceiver node, baseband unit (BBU), remote radio unit (RRU), active antenna unit (AAU), remote radio head (RRH), central unit (CU), distributed unit (DU), radio unit (RU), positioning node, etc. The base station can be a macro base station, a micro base station, a relay node, a donor node or the like, or a combination thereof. The base station may also refer to a communication module, modem or chip used to be set in the aforementioned equipment or device. The base station may also be a mobile switching center and a device that performs the base station function in D2D, V2X, and M2M communications, a network side device in a 6G network, and a device that performs the base station function in future communication systems. The base station can support networks with the same or different access technologies. Optionally, the RAN node may also be a server, a wearable device, a vehicle or an on-board device, etc. For example, the access network device in the vehicle to everything (V2X) technology may be a road side unit (RSU). The embodiments of the present application do not limit the specific technology and specific device form adopted by the network equipment.In some deployments, the network device mentioned in the embodiments of the present application may be a device including a CU, or a DU, or a device including a CU and a DU, or a device including a control plane CU node (central unit control plane (central unit-control plane, CU-CP)) and a user plane CU node (central unit user plane (central unit-user plane, CU-UP)) and a DU node. For example, the network device may include a gNB-CU-CP, a gNB-CU-UP, and a gNB-DU.

[0114] In some deployments, multiple RAN nodes collaborate to assist the terminal in achieving wireless access, and different RAN nodes implement part of the functions of the base station. For example, the RAN node can be a CU, DU, CU-CP, CU-UP, or RU. The CU and DU can be set separately, or can also be included in the same network element, such as a BBU. The RU can be included in a radio frequency device or a radio frequency unit, such as an RRU, AAU, or RRH.

[0115] The RAN node may support one or more types of fronthaul interfaces, and different fronthaul interfaces correspond to DUs and RUs with different functions. If the fronthaul interface between the DU and the RU is a common public radio interface (CPRI), the DU is configured to implement one or more baseband functions, and the RU is configured to implement one or more radio frequency functions. If the fronthaul interface between the DU and the RU is another interface, relative to the CPRI, part of the downlink and / or uplink baseband functions, such as, for downlink, one or more of precoding, digital beamforming (BF), or inverse fast Fourier transform (IFFT) / cyclic prefix (CP) are moved from the DU to the RU for implementation, and for uplink, one or more of digital beamforming (BF), or fast Fourier transform (FFT) / cyclic prefix (CP) are moved from the DU to the RU for implementation. In a possible implementation, the interface may be an enhanced common public radio interface (eCPRI). In the eCPRI architecture, the division between DU and RU is different, corresponding to different types (category, Cat) of eCPRI, such as eCPRI Cat A, B, C, D, E, F.

[0116] Taking eCPRI Cat A as an example, for downlink transmission, based on layer mapping, the DU is configured to implement layer mapping and one or more functions before it (i.e., one or more functions of coding, rate matching, scrambling, modulation, and layer mapping), while other functions after layer mapping (e.g., RE mapping, digital beamforming (BF), or one or more functions of inverse fast Fourier transform (IFFT) / adding cyclic prefix (CP)) are moved to the RU for implementation. For uplink transmission, based on de-RE mapping, the DU is configured to implement de-mapping and one or more functions before it (i.e., one or more functions of decoding, de-rate matching, de-scrambling, demodulation, inverse discrete Fourier transform (IDFT), channel equalization, and de-RE mapping), while other functions after de-mapping (e.g., one or more functions of digital BF or fast Fourier transform (FFT) / removing CP) are moved to the RU for implementation. It can be understood that for the functional description of DU and RU corresponding to various types of eCPRI, reference can be made to the eCPRI protocol and will not be repeated here.

[0117] In one possible design, the processing unit for implementing the baseband function in the BBU is called a baseband high layer (BBH) unit, and the processing unit for implementing the baseband function in the RRU / AAU / RRH is called a baseband low layer (BBL) unit.

[0118] In different systems, CU (or CU-CP and CU-UP), DU or RU may also have different names, but those skilled in the art can understand their meanings. For example, in the ORAN system, CU may also be called O-CU (open CU), DU may also be called O-DU, CU-CP may also be called O-CU-CP, CU-UP may also be called O-CU-UP, and RU may also be called O-RU. Any unit in the CU (or CU-CP, CU-UP), DU and RU in this application may be implemented by a software module, a hardware module, or a combination of a software module and a hardware module.

[0119] In the embodiments of the present application, the device for realizing the function of the network device may be a network device; or it may be a device capable of supporting the network device to realize the function, such as a chip system, a hardware circuit, a software module, or a hardware circuit plus a software module. The device may be installed in the network device or used in combination with the network device. In the embodiments of the present application, only the device for realizing the function of the network device is a network device as an example for explanation, and the scheme of the embodiments of the present application is not limited.

[0120] The network device and / or terminal device can be deployed on land, including indoors or outdoors, handheld or vehicle-mounted; it can also be deployed on the water surface; it can also be deployed on aircraft, balloons and satellites in the air. The scenarios in which the network device and the terminal device are located are not limited in the embodiments of the present application. In addition, the terminal device and the network device can be hardware devices, or they can be software functions running on dedicated hardware, software functions running on general-purpose hardware, such as virtualization functions instantiated on a platform (e.g., a cloud platform), or entities including dedicated or general-purpose hardware devices and software functions. The present application does not limit the specific forms of the terminal device and the network device.

[0121] In order to support AI technology in wireless networks, AI nodes can be introduced into the network. AI nodes can be AI network elements or AI modules.

[0122] Optionally, the AI ​​node can be deployed in one or more of the following locations in the communication system: access network equipment, terminal equipment, or core network equipment, etc., or the AI ​​node can also be deployed separately, for example, deployed in a location other than any of the above devices, such as a host or cloud server in an over the top (OTT) system. The AI ​​node can communicate with other devices in the communication system, and the other devices can be, for example, one or more of the following: network equipment, terminal equipment, or network elements of the core network, etc.

[0123] It is understood that the present application does not limit the number of AI nodes. For example, when there are multiple AI nodes, the multiple AI nodes can be divided based on functions, such as different AI nodes are responsible for different functions.

[0124] It can also be understood that AI nodes can be independent devices, or they can be integrated into the same device to implement different functions, or they can be network elements in hardware devices, or they can be software functions running on dedicated hardware, or they can be virtualized functions instantiated on a platform (for example, a cloud platform). This application does not limit the specific form of the above-mentioned AI nodes.

[0125] Figure 1 Figure 1 is a possible application framework diagram in a communication system. Figure 1As shown, network elements in the communication system are connected through interfaces (such as NG, Xn) or air interfaces. One or more AI modules are set in one or more devices in these network element nodes, such as core network equipment, access network nodes (RAN nodes), terminals or OAM (for clarity, Figure 1 Only one is shown in the figure). The access network node may be a separate RAN node, or may include multiple RAN nodes, such as a CU and a DU, or a gNB and / or an ng-eNB. The CU and / or DU may also be provided with one or more AI modules. Optionally, the CU may also be split into a CU-CP and a CU-UP. One or more AI models are provided in the CU-CP and / or the CU-UP.

[0126] The AI ​​module is used to implement the corresponding AI function. The AI ​​modules deployed in different network elements may be the same or different. The model of the AI ​​module can implement different functions according to different parameter configurations. The model of the AI ​​module can be configured based on one or more of the following parameters: structural parameters (such as the number of neural network layers, the width of the neural network, the connection relationship between layers, the weight of the neuron, the activation function of the neuron, or at least one of the biases in the activation function), input parameters (such as the type of input parameters and / or the dimension of input parameters), or output parameters (such as the type of output parameters and / or the dimension of output parameters). Among them, the bias in the activation function can also be called the bias of the neural network.

[0127] An AI module can have one or more models. A model can be inferred to obtain an output, which includes one parameter or multiple parameters. The learning process, training process, or inference process of different models can be deployed in different nodes or devices, or can be deployed in the same node or device.

[0128] Figure 2 Figure 1 is a possible application framework diagram in a communication system. Figure 2 As shown, the communication system includes a RAN intelligent controller (RAN intelligent controller, RIC). For example, the RIC can be Figure 1 The AI ​​modules 117 and 118 shown in the figure are used to implement AI-related functions. The RIC includes near-real time RIC (near-real time RIC, near-RT RIC) and non-real time RIC (non-real time RIC, Non-RT RIC). Among them, non-real time RIC mainly processes non-real time information, such as data that is not sensitive to delay, and the delay of this data can be in the order of seconds. Real-time RIC mainly processes near real-time information, such as data that is relatively sensitive to delay, and the delay of this data is in the order of tens of milliseconds.

[0129] The near real-time RIC is used for model training and reasoning. For example, it is used to train an AI model and use the AI ​​model for reasoning. The near real-time RIC can obtain information on the network side and / or the terminal side from a RAN node (e.g., CU, CU-CP, CU-UP, DU, and / or RU) and / or a terminal. This information can be used as training data or reasoning data. Optionally, the near real-time RIC can submit the reasoning results to the RAN node and / or the terminal. Optionally, the reasoning results can be exchanged between the CU and the DU, and / or between the DU and the RU. For example, the near real-time RIC submits the reasoning results to the DU, and the DU sends it to the RU.

[0130] The non-real-time RIC is also used for model training and reasoning. For example, it is used to train an AI model and use the model for reasoning. The non-real-time RIC can obtain information on the network side and / or the terminal side from a RAN node (such as a CU, CU-CP, CU-UP, DU and / or RU) and / or a terminal. The information can be used as training data or reasoning data, and the reasoning results can be submitted to the RAN node and / or the terminal. Optionally, the reasoning results can be exchanged between the CU and the DU, and / or between the DU and the RU. For example, the non-real-time RIC submits the reasoning results to the DU, and the DU sends it to the RU.

[0131] The near real-time RIC and the non-real-time RIC may also be separately set as a network element. Optionally, the near real-time RIC and the non-real-time RIC may also be part of other devices, for example, the near real-time RIC is set in a RAN node (for example, in a CU or DU), and the non-real-time RIC is set in an OAM, a cloud server, a core network device, or other network devices.

[0132] Figure 3 Schematic diagram of a communication system applicable to the method of the embodiment of the present application. Figure 3 As shown, the communication system 100 may include at least one network device, such as Figure 3 The network device 110 shown; the communication system 100 may also include at least one terminal device, such as Figure 3 The terminal device 120 and the terminal device 130 are shown. The network device 110 and the terminal devices (such as the terminal device 120 and the terminal device 130) can communicate via a wireless link. The communication devices in the communication system, for example, the network device 110 and the terminal device 120, can communicate via a multi-antenna technology.

[0133] Figure 4 is a schematic diagram of a communication system applicable to the method of the embodiment of the present application. Figure 3 For the communication system 100 shown, Figure 4The illustrated communication system 200 also includes an AI entity 140 .

[0134] The AI ​​entity 140 is used to perform AI-related operations, such as building a training data set or training an AI model.

[0135] In one possible implementation, the network device 110 may send data related to the training of the AI ​​model to the AI ​​entity 140, which constructs a training data set and trains the AI ​​model. For example, the data related to the training of the AI ​​model may include data reported by the terminal device. The AI ​​entity 140 may send the results of the operations related to the AI ​​model to the network device 110, and forward them to the terminal device through the network device 110. For example, the results of the operations related to the AI ​​model may include at least one of the following: an AI model that has completed training, an evaluation result or a test result of the model, etc. Exemplarily, a part of the AI ​​model that has completed training may be deployed on the network device 110, and another part may be deployed on the terminal device. Alternatively, the AI ​​model that has completed training may be deployed on the network device 110. Alternatively, the AI ​​model that has completed training may be deployed on the terminal device.

[0136] It should be understood that Figure 4 Only the example of the AI ​​entity 140 being directly connected to the network device 110 is used for illustration. In other scenarios, the AI ​​entity 140 may also be connected to the terminal device. Alternatively, the AI ​​entity 140 may be connected to the network device 110 and the terminal device at the same time. Alternatively, the AI ​​entity 140 may also be connected to the network device 110 through a third-party network element. The embodiment of the present application does not limit the connection relationship between the AI ​​network element and other network elements.

[0137] The AI ​​entity 140 may also be configured as a module in at least one of the following devices: a network device, a terminal device, and a core network element, for example, Figure 3 In the network device 110 or terminal device shown; for example, the AI ​​entity can be located inside the AMF or LMF.

[0138] It should be noted that Figure 3 and Figure 4 This is a simplified schematic diagram for ease of understanding. For example, the communication system may further include other devices, such as wireless relay devices and / or wireless backhaul devices, and may further include one or more core network elements. Figure 3 and Figure 4 In practical applications, the communication system may include multiple network devices and multiple terminal devices. The embodiment of the present application does not limit the number of network devices and terminal devices included in the communication system.

[0139] The core network elements in the present application may be used to implement one or more of the following functions: access and mobility management function (AMF), session management function (SMF), policy control function (PCF), user plane function (UPF), network data analytics function (NWDAF), charging function (CHF), and unified data management (UDM) network element.

[0140] AMF is mainly used for terminal attachment, mobility management, and tracking area update processes in mobile networks. The access management network element terminates the non-access stratum (NAS) message, completes registration management, connection management, and reachability management, allocates tracking area lists (TA lists) and mobility management, and transparently routes session management (SM) messages to the session management network element.

[0141] SMF is mainly used for session management in mobile networks, such as session establishment, modification, and release. For example, it can allocate Internet Protocol (IP) addresses to terminals, select user plane network elements that provide message forwarding functions, etc.

[0142] PCF mainly provides user subscription data management functions, policy control functions, charging policy control functions, quality of service (QoS) control, etc.

[0143] UPF is mainly responsible for processing user messages, such as forwarding, billing, and legal monitoring.

[0144] NWDAF provides intelligent analysis services, and outputs analysis results in the form defined by the specification through artificial intelligence and big data analysis. The output analysis results generally include two forms, one is the statistical analysis of historical data, and the other is the prediction of future data. The service processing network element adjusts the network according to the NWDAF output to optimize the operation of the network. For example, when the service processing network element finds through the statistical analysis results output by NWDAF that the packet loss rate of the terminal's ongoing service message transmission exceeds the threshold and affects the service experience, it will take corresponding measures, such as increasing the proportion of retransmitted packets, trying to improve the service experience, etc.

[0145] CHF mainly collects billing events from various service processing network elements such as SMF, AMF or UPF, and charges users' services according to pre-negotiated rates.

[0146] The UDM network element is used to store and manage user terminal network and service subscription data.

[0147] The communication system of the present application may also include application functions, which may be referred to as third-party applications.

[0148] In this application, the function may also be a network element or an entity, for example, AMF may also be an AMF network element or an AMF entity.

[0149] In the embodiment of the present application, the network device may be a network device with a perception function. The network device having a perception function can be understood as: while transmitting information through a wireless channel, the network device actively recognizes and analyzes the characteristics of the channel to perceive the physical characteristics of the surrounding environment, so that the communication and perception functions enhance each other. For example, by using base station signals to perceive the surrounding environment information and designing communication links, some obstacles can be avoided and communication performance can be improved.

[0150] In the embodiment of the present application, the terminal device may be a terminal device with a perception function. The network device having a perception function can be understood as: while transmitting information through a wireless channel, it actively recognizes and analyzes the characteristics of the channel to perceive the physical characteristics of the surrounding environment, so that the communication and perception functions enhance each other. For example, by using base station signals to perceive the surrounding environment information and designing communication links, some obstacles can be avoided and communication performance can be improved.

[0151] In the embodiments of the present application, having a perception function can also be understood as having the ability to perform a perception task, or being able to perform a perception task, or being able to perform a perception task.

[0152] In the embodiments of the present application, the perception task may include one or more of the following elements: a perception object, a perception operation, and a perception result. The perception object may be understood as the information, signal, or data on which the perception operation is performed, or the input of the perception operation is information, signal, or data; the perception operation may be understood as the operation performed on the perception object, such as collection, measurement, or prediction; and the perception result may be understood as the output obtained from the perception operation.

[0153] Optionally, the sensing task may also include elements such as the source of the sensing object and / or the sensing device, wherein the source of the sensing object refers to who provides the sensing object; and the sensing device refers to the device that performs the sensing task.

[0154] Taking the example of a terminal device measuring a perception reference signal sent by a network device, the terminal device is the perception device, the network device is the source of the perception object, the perception reference signal is the perception object, the measurement is the perception operation, and the result of the measurement is the perception result.

[0155] Figure 5 The following is an example diagram of the perception working mode of network devices and terminal devices. Figure 5 The sensing working mode shown takes the network device as a base station as an example.

[0156] Figure 5 (a) in the figure shows the sensing working mode of the base station sending and receiving the sensing reference signal, that is, the base station sends a sensing reference signal, and measures the echo of the sensing reference signal after encountering the sensing target object, and obtains the measurement result, which can also be called the sensing result. Among them, the sensing reference signal can be called the sensing object, and the base station is both a sensing device and the source of the sensing object.

[0157] Figure 5 (b) in FIG. 1 shows a sensing working mode of cooperation between base stations, that is, base station 1 sends a sensing reference signal, and base station 2 measures the sensing reference signal to obtain a measurement result, which can also be called a sensing result. Among them, the sensing reference signal can be called a sensing object, base station 2 is a sensing device, and base station 1 is the source of the sensing object.

[0158] Figure 5 (c) in FIG. 1 shows a sensing working mode in which a base station sends and a terminal receives, that is, a base station sends a sensing reference signal, and a UE measures the sensing reference signal to obtain a measurement result, which can also be called a sensing result. The sensing reference signal can be called a sensing object, the UE is a sensing device, and the base station is the source of the sensing object.

[0159] Figure 5(d) in FIG. 1 shows a cooperative sensing working mode between UEs, that is, UE1 sends a sensing reference signal, and UE2 measures the sensing reference signal to obtain a measurement result, which can also be called a sensing result. The sensing reference signal can be called a sensing object, UE2 is a sensing device, and UE1 is the source of the sensing object.

[0160] Figure 5 (e) in FIG. 1 shows a sensing working mode in which the terminal sends and the base station receives, that is, the UE sends a sensing reference signal, and the base station measures the sensing reference signal to obtain a measurement result, which can also be called a sensing result. Among them, the sensing reference signal can be called a sensing object, the base station is a sensing device, and the UE is the source of the sensing object.

[0161] Figure 5 (f) in FIG. 1 shows a sensing working mode in which the UE sends and receives the sensing reference signal, that is, the UE sends a sensing reference signal, and measures the echo of the sensing reference signal after encountering the sensing target object, and obtains a measurement result, which can also be called a sensing result. Among them, the sensing reference signal can be called a sensing object, and the UE is both a sensing device and the source of the sensing object.

[0162] The perception reference signal in the embodiment of the present application can be understood as a signal transmitted for realizing perception. Among them, perception, as the name implies, is to detect the state of the surrounding environment, the position, direction, height, speed, distance of an object, and can also determine one or more of the shape or material of an object, or even determine the action gesture of a person, etc., but it is not limited to this, and can also include other perceptible content.

[0163] The perception reference signal in the embodiment of the present application may reuse the reference signal used for measurement in the prior art, for example, may reuse the reference signal used for cell measurement in the prior art.

[0164] The perception reference signal in the embodiment of the present application may also be a newly defined reference signal other than the reference signal in the prior art. For example, the time-frequency resources used by the perception reference signal in the present method are different from one or more of the time domain resources, frequency domain resources, or sequence resources used by the reference signal in the prior art.

[0165] Figure 6 is a schematic diagram of a communication system applicable to the method of the embodiment of the present application. Figure 3 or Figure 4 One difference with the system shown is that one or more sensors are also included.

[0166] The sensor (transducer / sensor) in the embodiments of the present application is a detection device that can sense the information being measured and can convert the sensed information into an electrical signal or other required form of information output according to a certain rule to meet one or more requirements of information transmission, processing, storage, display, recording and control.

[0167] The sensor in the embodiment of the present application may include one or more of the following sensors: image sensor, temperature sensor, position sensor, rain sensor, distance sensor, energy consumption sensor, speed sensor, acceleration sensor, radiation sensor, vibration sensor, humidity sensor, magnetic sensor, gas sensor, vacuum sensor, biosensor or optical sensor. When introducing the method or device in the specific embodiment below, the image sensor, position sensor, rain sensor, speed sensor, acceleration sensor, gas sensor or optical sensor is used as an example, and other sensors can also be applied to similar methods or devices.

[0168] Sensors can communicate with network devices directly or through UE.

[0169] Figure 7 This is an exemplary application scenario diagram of the cell switching method of the present application. Figure 7 In the application scenario shown in (a), both high-frequency cells and low-frequency cells are included, and the UE is within the coverage of both the high-frequency cell and the low-frequency cell.

[0170] When the current serving cell of the UE is a high-frequency cell provided by base station 1, if the UE is blocked (or strongly blocked) and the high-frequency channel between the UE and base station 1 fades (or strongly fades), or the high-frequency channel between the UE and base station 1 fades strongly due to weather reasons, the transmission performance between base station 1 and the UE will be seriously affected. In this case, the serving cell of the UE can be switched from the high-frequency cell to the low-frequency cell provided by base station 2, that is, the UE can perform cell switching.

[0171] In this embodiment, the high-frequency cell refers to the cell with a higher communication frequency among two cells with different communication frequencies, and the low-frequency cell refers to the cell with a lower communication frequency among the two cells.

[0172] As an example, a high-frequency cell may be a cell having a communication frequency greater than or equal to 6 gigahertz (GHz), and a low-frequency cell may be a cell having a communication frequency less than 6 GHz.

[0173] Figure 7In the application scenario shown in (b), the current serving cell of the UE is cell 1 provided by base station 1. When the UE moves along the arrow direction to the edge of the coverage area of ​​cell 1 and is about to enter the coverage area of ​​cell 2 provided by base station 2, or when the UE is located at the coverage service edge of cell 1 and is severely interfered, the serving cell of the UE can be switched from the high-frequency cell to the low-frequency cell provided by base station 2, that is, the UE can perform cell switching.

[0174] Understandably, Figure 7 In the figure, the high-frequency cell and the low-frequency cell are respectively provided by base station 1 and base station 2, which is only an example. The high-frequency cell and the low-frequency cell can also be provided by the same base station; the cell 1 and the cell 2 are respectively provided by base station 1 and base station 2, which is also only an example. The cell 1 and the cell 2 can also be provided by the same base station.

[0175] Understandably, Figure 7 The cell switching scenario shown is only an example, and the technical solution of the present application can be applied to any cell switching scenario.

[0176] In the embodiments of the present application, it can be understood that a cell can be understood as a carrier. For example, a base station provides a high-frequency cell service, which can be understood as the base station sending information through a high-frequency carrier. For another example, a UE is located within the coverage of a cell, which can be understood as the UE is located within the coverage of a carrier.

[0177] Figure 8 The present invention is a flow chart of a cell switching method. Figure 8 The method shown includes S801 to S806.

[0178] S801: The source cell decides whether to trigger neighbor cell measurement according to the air interface signal quality of the UE.

[0179] S802: When the source cell decides to trigger neighboring cell measurement according to the air interface signal quality of the UE, the source cell sends measurement configuration information to the UE. The measurement configuration information may indicate measurement resources for measuring the signal quality of the source cell and the neighboring cell.

[0180] S803, the UE performs measurement based on the measurement configuration information and reports the measurement result. For example, when the UE finds that the signal quality of the neighboring cell is better than the signal quality of the source cell, the event can be reported to the source cell.

[0181] S804: The source cell determines a cell switching strategy according to the measurement result reported by the UE, that is, determines whether the UE can be switched and determines a target cell for the UE.

[0182] S805: The source cell sends a handover command to the UE, informing the UE of the target cell to which it can handover.

[0183] S806, the UE initiates a random access process and accesses the target cell, thereby completing the process of switching from one cell to another.

[0184] However, in the above-mentioned cell switching method, the source cell needs to detect that the current air interface signal of the UE is not good before triggering the UE to perform cell measurement, and then the cell switching strategy can be made after receiving the cell measurement results reported by the UE, and then the cell switching can be further completed. Among them, the measurement results required for the source base station to make a cell switching decision are usually fixed, or the measurement results required by the source cell to implement the cell switching decision function are fixed. This leads to the lack of any of these measurement results, and the source cell cannot implement the cell switching decision function, or the source cell must wait until the UE reports all the measurement results required to implement the cell switching decision function before obtaining the cell switching strategy. This will cause the UE to take a long time to obtain the cell switching strategy, that is, it will cause the UE's air interface signal quality to be poor to obtain the cell switching strategy. The delay is long, which leads to a long cell switching delay for the UE, and then leads to poor transmission performance of the UE for a long time.

[0185] In response to the above problems, the present application proposes a new technical solution. In the technical solution of the present application, the association between the measurement information (and / or status information) obtained on the network side and / or the terminal side and the cell switching decision function is used to manage the cell switching function, so as to reduce the switching delay and save signaling overhead.

[0186] As an example, the measurement information or state information may be a sensing result obtained by the sensing device performing a sensing task. Using the sensing result, more flexible cell switching can be achieved.

[0187] Fig. 9 It is an exemplary flow chart of the cell switching method of the present application. Fig. 9 The method shown includes S910 and S920.

[0188] S910: Obtain at least one perception result and at least one perception type corresponding to the at least one perception result, where the at least one perception type is the perception type of each perception result in the at least one perception result.

[0189] As an example, the at least one perception result may include perception results obtained in one or more of the following ways: the result perceived by the terminal device through its own perception function, the result perceived by the network device through its own perception function, or the result perceived by the sensor through its own perception function.

[0190] It can be understood that the at least one sensing device corresponding to the at least one sensing result can have at least one of a location association relationship, a service association relationship and a belonging association relationship.

[0191] For example, when the at least one sensing device includes a UE, a network device and a sensor, the sensor and the UE may have a location association relationship or a belonging association relationship, and the UE and the network device may have a service association relationship.

[0192] The position association relationship between the sensor and the UE can be understood as: the distance between the position of the sensor and the position of the UE is less than or equal to a preset distance threshold. For example, when the sensor is an image sensor, the image sensor can be a camera near the position of the UE.

[0193] The sensor and the UE may have an association relationship, which can be understood as: the sensor is a sensor in the UE, or the sensor and the UE are components of the same device. For example, when the UE is a vehicle, the sensor may be a speed sensor or a rain sensor in the vehicle. For another example, when the UE is an in-vehicle communication device on a vehicle, the sensor may be a speed sensor or a rain sensor on the vehicle.

[0194] In the embodiment of the present application, the perception type of the perception result may be associated with one or more elements included in the perception task corresponding to the perception result. In other words, the perception type of the perception result may be determined based on one or more information of the type of the perception device of the perception task corresponding to the perception result, the type of the perception object, the type of the perception operation, the source of the perception object, and the type of the perception result.

[0195] As an example, the perception type of the perception result can be determined based on the type of the perception device. For example, when the perception device of the perception task corresponding to the perception result is an image sensor, a position sensor, a rain sensor, a speed sensor, an acceleration sensor, a gas sensor, or an optical sensor, the perception type of the perception result can be determined based on the type of the perception device. In this case, the perception types are image, position, rain, speed, acceleration, gas concentration and gas composition, and light intensity.

[0196] As an example, the perception type of the perception result can be determined based on the type of the perception result. For example, when the type of the perception result is a traffic volume prediction value of a network device or a signal interference prediction value of a network device, the perception type of the perception result can be determined based on the type of the perception result, that is, the type of the perception result is the perception type of the perception result, and the perception types are respectively the traffic volume prediction value of the network device or the signal interference prediction value of the network device.

[0197] As an example, the perception type of the perception result can be determined based on the type of the perception device, the type of the perception object, and the source of the perception object. For example, if the perception task corresponding to the perception result is that the terminal device measures the perception reference signal sent by the network device to obtain the signal strength, the terminal device measures the perception reference signal sent by itself to obtain the signal strength, the terminal device measures the perception reference signal sent by other terminal devices to obtain the signal strength, the network device measures the perception reference signal sent by itself to obtain the signal strength, the network device measures the perception reference signal sent by other network devices to obtain the signal strength, or the network device measures the perception reference signal sent by the terminal device to obtain the signal strength, then the perception type of the perception result can be determined or distinguished based on the type of the perception device, the type of the perception object, the type of the perception operation, and the source of the perception object.

[0198] In some examples, the sensing type can be determined based on the sensing task including the sensing device, the source of the sensing object, the sensing object, the sensing operation and the sensing result. For example, when the sensing result is the signal strength obtained by the network device measuring the sensing reference signal sent by other network devices, the sensing type is the signal strength obtained by the network device measuring the sensing reference signal sent by other network devices. In this example, the sensing type determined based on one or more of the sensing device, the source of the sensing object, the sensing object, the sensing operation and the sensing result included in the sensing task can be called the type of the sensing task.

[0199] In the embodiment of the present application, each perception result has its own corresponding perception type, and the perception types of any two perception results may be the same or different.

[0200] In an embodiment of the present application, as an example, obtaining at least one perception result may include one or more of the following methods: receiving a perception result from a terminal device, receiving a perception result from a network device, obtaining a perception result through a perception function, or receiving a perception result from a sensor.

[0201] In the embodiment of the present application, as an example, obtaining at least one perception type corresponding to at least one perception result may include one or more of the following methods: receiving a perception type from a terminal device (e.g., receiving information indicating a perception type from a terminal device), receiving a perception type from a network device (e.g., receiving information indicating a perception type from a network device), determining a perception type based on a perception result, or receiving a perception type from a sensor (e.g., receiving information indicating a perception type from a sensor). Or it can be said that not only a perception result is received, but also a perception type corresponding to the perception result is received; or, a perception result is received, and the perception type is obtained through the correspondence between the perception result and the perception type, and the perception type is not directly received at this time.

[0202] The execution subject of the method may be called a decision-making device. As an example, the decision-making device may be a core network element, or may be a network device.

[0203] S920, determining a cell switching strategy based on a cell switching decision function associated with all or part of the perception types in the at least one perception type, wherein the input of the cell switching decision function is the perception results of all or part of the perception types, and the cell switching strategy includes at least one of the following: performing a cell switching on the first terminal device, not performing a cell switching on the first terminal device (that is, retaining the source cell of the first terminal device as the service cell of the first terminal device), or a target cell of the first terminal device.

[0204] The cell switching decision function may input a perception result of at least one perception type, and infer the cell switching decision of the UE based on the input at least one perception result. The input of the cell switching decision function includes the perception results of which perception types, and the cell switching decision function may be said to be associated with these perception types. The perception types associated with different cell switching decision functions are usually completely or at least partially different.

[0205] An exemplary explanation of this step is as follows: the decision-making device obtains the perception results of N perception types, and the decision-making device can find a cell switching decision function that is simultaneously associated with M of the N perception types to determine the cell switching strategy, where N is a positive integer and M is a positive integer less than or equal to N.

[0206] As an example of a cell switching decision function, the cell switching decision function may input the measurement results of the network device on the perception reference signal and the prediction results of the network device on the traffic volume, and determine whether a high load situation will occur in the next scheduling period of the serving network device based on the measurement results and the prediction results. If a high load situation occurs, the cell switching strategy may include: indication information for the UE to perform cell switching, and the identifier of the target cell. It can be understood that the target cell is a low-load cell. The high load here can be understood as a load quantity greater than or equal to a load quantity threshold, and the low load can be understood as a load quantity less than a load quantity threshold; or, the high load can be understood as a load quantity greater than a load quantity threshold, and the low load can be understood as a load quantity less than or equal to the load quantity threshold. One example of the load quantity is the number of users, and another example is the data throughput.

[0207] As an example of a cell switching decision function, the cell switching decision function can input the measurement results of the network device on the perception reference signal and the image captured by the camera, and determine whether there is an obstruction between the UE and the service network device based on the measurement results and the image. If it is determined that the obstruction is perceived, the output cell switching strategy may include: indication information for cell switching of the UE and the identifier of the target cell of the UE.

[0208] As an example of a cell switching decision function, the cell switching decision function may input the measurement results of the network device on the perception reference signal and the light intensity perceived by the optical sensor, and determine whether there is an obstruction between the UE and the serving network device based on the measurement results and the light intensity. If it is determined that an obstruction is perceived, the output cell switching strategy may include: indication information for cell switching of the UE and an identifier of the target cell of the UE.

[0209] As another example of a cell switching decision function, the cell switching decision function may input the measurement result of the network device on the perception reference signal and the speed collected by the speed sensor on the terminal, and determine whether there is an obstruction between the terminal device and the service network device and whether the terminal speed exceeds the speed threshold based on the measurement result and speed. If there is an obstruction and the speed exceeds the speed threshold, the cell switching strategy may include: indication information for cell switching of the terminal device and the identification of the target cell. It can be understood that the target cell may be a low-frequency cell, and no obstruction is perceived between the service network device of the target cell and the terminal device.

[0210] As another example of a cell switching decision function, the cell switching decision function may input the measurement result of the terminal device on the perception reference signal and the speed collected by the speed sensor on the terminal, and determine whether there is an obstruction between the terminal and the service network device and whether the terminal speed exceeds the speed threshold based on the measurement result and speed. If there is an obstruction and the speed exceeds the speed threshold, the cell switching strategy may include: indication information for cell switching of the terminal device and the identification of the target cell. It can be understood that the target cell is a low-frequency cell, and no obstruction is perceived between the service network device of the target cell and the terminal device.

[0211] As another example of a cell switching decision function, the cell switching decision function may input the measurement result of the terminal device on the perception reference signal and the acceleration collected by the acceleration sensor on the terminal, and determine whether the terminal and the service network device perceive an obstruction based on the measurement result and the acceleration and whether the terminal speed exceeds the speed threshold within a preset time. If it is determined that the obstruction is perceived and the terminal will exceed the speed threshold within the preset time, the cell switching strategy may include: indication information for the terminal to perform cell switching, and the identification of the target cell. It can be understood that the target cell may be a low-frequency cell, and no obstruction is perceived between the service network device of the target cell and the terminal.

[0212] As another example of the cell switching decision function, the cell switching decision function may input rainfall information sensed by a rainfall sensor on a network device, and determine whether the rainfall exceeds a rainfall threshold based on the rainfall information. If the rainfall is determined to exceed the rainfall threshold, the cell switching strategy may include: indication information for performing cell switching on the terminal, and an identifier of a target cell. It is understood that the target cell may be a low-frequency cell, because rainfall exceeding the rainfall threshold may cause high path loss, making high-frequency connections unstable.

[0213] As another example of a cell switching decision function, the cell switching decision function may input the gas concentration and gas composition information sensed by the gas sensor on the network device, and determine whether the concentration of the gas in the current weather conditions exceeds the concentration threshold based on the gas concentration and gas composition information. If it is determined that the concentration of the gas exceeds the concentration threshold, the cell switching strategy may include: indication information for the terminal to switch the cell, and the identification of the target cell. It can be understood that the target cell may be a low-frequency cell, because exceeding the concentration threshold is strong pollution, which may cause high path loss, making the high-frequency connection unstable.

[0214] In some implementations, priorities may be set for the cell switching decision functions, and the cell switching strategy may be determined based on the cell switching decision functions with higher priorities.

[0215] For example, the cell switching decision function is associated with perception type 1 and perception type 2, the cell switching decision function 2 is associated with perception type 1 and perception type 3, the cell switching decision function 3 is associated with perception type 4 and perception type 5, the priority of the cell switching decision function is higher than the priority of the cell switching decision function 2, and the priority of the cell switching decision function 2 is higher than the priority of the cell switching decision function 3. If the decision-making device obtains perception result 1 of perception type 1, perception result 2 of perception type 2, perception result 3 of perception type 3, perception result 4 of perception type 4 and perception result 5 of perception type 5, then the decision-making device can determine the cell switching strategy based on the above priorities only through the cell switching decision function 1 based on the perception results 1 and 2.

[0216] Optionally, the priority of the cell switching decision function may be pre-defined in a communication protocol, may be preset in a decision-making device, or may be obtained through negotiation between multiple devices in a communication system.

[0217] Optionally, the priority of the cell switching decision function can be set based on at least one of the following factors: the priority of the associated perception type, the priority of the accuracy of the cell switching strategy determined by the perception result of the associated perception type, or the perception result of the associated perception type is used to determine the logical complexity of the cell switching decision.

[0218] For example, the higher the accuracy of the cell switching strategy determined by the perception results of the associated perception type, the higher the priority of the cell decision-making function; the lower the logical complexity of the perception results of the associated perception type used to determine the cell switching strategy, the higher the priority of the cell switching decision function.

[0219] In this method, after the decision-making device obtains the perception result, the cell switching decision function is determined based on the perception type of the perception result. Therefore, no matter how many or few perception results the decision-making device obtains, and no matter what perception type the perception result obtained by the decision-making device is, as long as any subset of all perception types corresponding to these perception results is associated with the cell switching decision function, or in other words, as long as the perception type of the perception result input by at least one cell switching decision function matches any subset of all perception types corresponding to these perception results, the cell switching function can be used to decide the cell switching strategy of the UE based on the perception result of the perception type in the subset.

[0220] In this way, not only can the flexibility of obtaining the cell switching strategy of the UE be achieved, thereby achieving the flexibility of cell switching; it can also help reduce the time waiting for too many perception results, thereby helping to reduce the delay in obtaining the cell switching strategy, and further helping to reduce the delay in cell switching.

[0221] In some implementations, the perception reference signal may not be transmitted via pilot resources, which can save pilot resources.

[0222] In some implementations, if the corresponding cell switching decision function can be associated only based on the perception results reported by the sensor (for example, the perception results reported by the image sensor), and the cell switching strategy is obtained based on the cell switching decision function, there is no need to consume the pilot resources of the air interface to perform neighboring cell measurements, thereby saving signaling overhead.

[0223] Fig.10 FIG. 1 is another exemplary flow chart of the cell switching method of the present application. Fig.10As shown, S910 may include S910-b and S910-c, and may also include S910-a. For example, when the decision-making device has a perception function, S910 may also include S910-a. As an example, Fig.10 The decision-making device may be a network device or a core network element, and the perception device may include one or more of the following devices: a terminal device, a network device, or a sensor.

[0224] S910-a, the decision-making device performs the perception task and obtains the perception result.

[0225] For example, when the decision-making device is a network device, the network device can measure the echo of the perception reference signal sent by itself to obtain a perception result, or the network device can measure the perception reference signal sent by other network devices to obtain a perception result, or the network device can measure the perception reference signal sent by the terminal device to obtain a perception result, or the network device can predict its own business volume to obtain a business volume prediction value, or the network device can predict the interference it suffers to obtain an interference prediction value.

[0226] S910-b, the sensing device sends the sensing result to the decision-making device. Correspondingly, the decision-making device receives the sensing result from the sensing device.

[0227] As an example, after the terminal device measures the echo of the perception reference signal sent by itself to obtain the perception result, or after the terminal device measures the perception reference signal sent by other terminal devices to obtain the perception result, or after the terminal device measures the perception reference signal sent by the network device to obtain the perception result, the terminal device sends the perception result to the network device or the core network element.

[0228] As an example, after the sensor collects the perception result, it sends the perception result to the network device or the core network element. For example, after the camera collects the image, it sends the image to the network device or the core network element; for another example, after the speed sensor in the UE collects the moving speed of the UE, it sends the moving speed to the network device or the core network element; for another example, after the gas sensor collects the gas composition and gas concentration in the environment where the UE is located, it sends the indication information of the gas composition and the indication information of the gas concentration to the network device or the core network element; for another example, after the rain sensor collects the rainfall in the environment where the UE is located, it sends the rainfall to the network device or the core network element; for another example, after the light sensor collects the light intensity in the environment where the UE is located, it sends the light intensity to the network device or the core network element; for another example, after the acceleration sensor in the UE collects the acceleration of the UE, it sends the acceleration to the network device or the core network element.

[0229] S910 - c, the decision-making device determines the perception type of at least one acquired perception result.

[0230] As an example, the perception device not only sends the perception result to the decision device, but also sends the perception type of the perception result to the decision device. Optionally, the perception result and the perception type can be carried in the same message or signaling. In this case, the decision device can obtain the perception type of the perception result reported by the perception device based on the information reported by the perception device.

[0231] As another example, the sensing device does not report the type of the sensing result. In this case, the decision-making device can obtain the type of the sensing result based on other information.

[0232] For example, the type of the perception result is determined based on the type of the perception device that reports the perception result. As a more specific example, if the perception result is reported by a camera, the type of the perception result can be determined to be an image.

[0233] For other related contents in this embodiment, reference may be made to the aforementioned contents. For example, the method for determining the perception type of the perception result may refer to the aforementioned contents, which will not be repeated here.

[0234] It can be understood that the dotted lines in the drawings corresponding to each embodiment of the present application represent optional content in the embodiment.

[0235] Fig.11 FIG. 1 is another exemplary flow chart of the cell switching method of the present application. Fig.11 As shown, the cell switching method in the embodiment of the present application may also include S905, that is, before the decision device obtains the perception result, first indication information is sent to the perception device, and the first indication information is used to instruct the perception device to report the perception result. The content of S905 can refer to the relevant content in the invention content, and will not be repeated here.

[0236] Fig.12 FIG. 1 is another exemplary flow chart of the cell switching method of the present application. Fig.12 As shown, the cell switching method of an embodiment of the present application may also include S930, that is, the decision-making device sends a cell switching policy to a switching-related device, wherein the switching-related device may include at least one of a UE, a source network device of the UE, and a destination network device of the UE, and the decision-making device may be a network device of the UE or a core network element.

[0237] For example, the decision-making device is a network device of the UE, and the switching-related device is the UE, then the network device of the UE sends the cell switching policy to the UE.

[0238] For another example, the decision-making device is a core network element, and the switching-related device is a source network device of the UE. The core network element sends the cell switching policy to the source network device of the UE, so that the source network device sends the cell switching policy to the UE.

[0239] In some examples, the handover-related device may be one or more of the sensing devices. For example, the decision device receives a sensing result from the UE and determines a cell handover strategy for the UE based on the sensing result. In this case, the handover-related device is a sensing device.

[0240] Fig.13 This is an exemplary process of a cell switching method according to an embodiment of the present application. Fig.13 The method shown includes S1310, S1320, S1330 and S1340. Optionally, S1350 may also be included. Optionally, S1360 may also be included. Among them, S1350 may include S1350-a and / or S1350-b. In the method, the core network element is a decision-making device, and the perception device may include one or more of the following devices: UE, sensor, or first network device.

[0241] S1310: The first network device sends a first perception result to a core network element. Correspondingly, the core network element receives the first perception result from the first network device.

[0242] As an example, the first network device may be a network device corresponding to a source cell of the UE.

[0243] As an example, the first perception result may include at least one of the following: a result obtained by the first network device measuring a perception reference signal sent by the first network device, a result obtained by the first network device measuring a perception reference signal sent by the second network device, a result obtained by the first network device measuring a perception reference signal sent by the UE, a traffic prediction result of the first network device for the first network device, or a prediction result of the first network device for the interference suffered by the first network device.

[0244] As an example, the first network device may also send the perception type of the first perception result to the core network element.

[0245] S1320, the UE sends the second perception result to the core network element. Correspondingly, the core network element receives the second perception result from the UE.

[0246] As an example, the second perception result may include at least one of the following: a result obtained by the UE measuring a perception reference signal sent by the first network device, a result obtained by the UE measuring a perception reference signal sent by the UE, a result obtained by the UE measuring other sent perception reference signals, or a perception result collected by a sensor in the UE.

[0247] In some implementations, the UE may send the second perception result to the core network element through the first network device.

[0248] As an example, the UE may also send the perception type of the second perception result to the core network element.

[0249] S1330: The sensor sends the third perception result to the core network element. Correspondingly, the core network element receives the third perception result from the sensor.

[0250] The third perception result may be a result obtained by the sensor performing a perception task.

[0251] The sensor may include one or more of an image sensor, a position sensor, a rain sensor, a speed sensor, a thermal sensor, an acceleration sensor, a gas sensor, and an optical sensor.

[0252] As an example, the sensor may also send the perception type of the first perception result to the core network element.

[0253] S1340, the core network element determines the cell switching strategy of the UE according to the cell switching decision function associated with at least one perception type corresponding to at least one perception result among the first perception result, the second perception result and the third perception result.

[0254] It can be understood that the at least one sensing device corresponding to the at least one sensing result can have at least one of a location association relationship, a service association relationship and a belonging association relationship.

[0255] For example, when the at least one sensing device includes a UE, a network device and a sensor, the sensor and the UE may have a location association relationship or a belonging association relationship, and the UE and the network device may have a service association relationship.

[0256] The position association relationship between the sensor and the UE can be understood as: the distance between the position of the sensor and the position of the UE is less than or equal to a preset distance threshold. For example, when the sensor is an image sensor, the image sensor can be a camera near the position of the UE.

[0257] The sensor and the UE may have an association relationship, which can be understood as: the sensor is a sensor in the UE, or the sensor and the UE are components of the same device. For example, when the UE is a vehicle, the sensor may be a speed sensor or a rain sensor in the vehicle. For another example, when the UE is an in-vehicle communication device on a vehicle, the sensor may be a speed sensor or a rain sensor on the vehicle.

[0258] In the embodiment of the present application, in the embodiment, the acquisition of the perception type content can refer to the relevant content in S920, which will not be repeated here.

[0259] Understandably, Fig.13 The embodiments shown are only examples, and in some embodiments corresponding to actual scenarios, only some steps in S1310, S1320 and S1330 may be included. For example, only the UE and the sensor report the perception results; for another example, only the network device and the sensor report the perception results; for another example, only the network device reports the perception results; for another example, only the terminal device reports the perception results.

[0260] As an example, the core network network element includes a first cell switching decision function and a second cell switching decision function, the input of the first cell switching decision function is the perception result of the first perception type and the perception result of the third perception type, and the input of the second cell switching decision function is the perception result of the fourth perception type and the perception result of the first perception type. As long as the perception result obtained by the core network network element includes the perception result of the first perception type and the perception result of the third perception type, the core network network element can perform the following steps: input the first perception result and the third perception result into the first cell switching decision function, thereby obtaining the cell switching strategy of the UE.

[0261] For example, the input of the first cell switching decision function is the measurement result of the network device on the perception reference signal and the image captured by the camera, and the input of the second cell switching decision function is the measurement result of the network device on the perception reference signal and the rainfall measured by the rain gauge. When the first perception result received by the core network network element from the network device is the measurement result of the network device on the perception reference signal, and the third perception result received from the UE is the rainfall measured by the rain gauge, the core network network element can input the first perception result and the third perception result into the first cell switching decision function to obtain the cell switching strategy of the UE.

[0262] In a more specific example, when the location of the UE is known, such as the location of the UE is known based on the angle of the UE's current service beam, if the first cell switching decision function determines that there is a large metal obstruction at the location based on the measurement result of the network device on the perception reference signal and the rainfall is greater than the rainfall threshold, the first cell switching decision function can output the following cell switching strategy: indication information for cell switching of the UE, and the target cell of the UE (e.g., the identifier of the target cell of the UE).

[0263] For another example, the first perception type is the measurement of the perception reference signal by the network equipment, the second perception type is the measurement of the perception reference signal by the terminal equipment, and the third perception type is the speed acquisition by the speed sensor. The input of the first cell switching decision function is the measurement result of the perception reference signal by the terminal equipment and the image acquired by the camera, and the input of the second cell switching decision function is the measurement result of the perception reference signal by the terminal equipment and the speed acquired by the speed sensor associated with the UE. Then, the core network element can input the first perception result and the third perception result into the first cell switching decision function when obtaining the first perception result and the third perception result, thereby obtaining the cell switching strategy of the UE.

[0264] In a more specific example, when the location of the UE is known, such as the location of the UE is known based on the angle of the UE's current service beam, if the first cell switching decision function determines that there is a large metal obstruction at the location based on the first perception result and determines that the UE's moving speed exceeds a threshold based on the third perception result, the first cell switching decision function can output the following cell switching strategy: cell switching for the UE (i.e., an indication of cell switching for the UE), the target cell of the UE (e.g., an identifier of the target cell of the UE), wherein the target cell is a low-frequency cell in the second network device.

[0265] For another example, the first perception type is the prediction of the network device for its own service traffic, the second perception type is the measurement of the perception reference signal by the network device, and the third perception type is the perception performed by the sensor. The input of the first cell switching decision function is the prediction result of the network device for its own service traffic and the measurement result of the network device for the perception reference signal, and the input of the second cell switching decision function is the prediction result of the interference suffered by the network device itself and the measurement result of the network device for the perception reference signal. When the core network element obtains the first perception result and the second perception result, it can input the first perception result and the second perception result into the first cell switching decision function to obtain the cell switching strategy of the UE.

[0266] In a more specific example, if the first cell switching decision function determines based on the first perception result that the first network device will have a load peak in the next scheduling period, and determines based on the second perception result that the UE is at the edge of the source cell, the first cell switching decision function may input the following cell switching strategy: perform cell switching on the UE, and the target cell of the UE. It is understood that the target cell may be a low-load cell in the second network device.

[0267] As an example, the core network network element includes a first cell switching decision function and a second cell switching decision function, the priority of the first cell switching decision function is higher than the priority of the second cell switching decision function, the input of the first cell switching decision function is the perception result of the first perception type and the perception result of the third perception type, the input of the second cell switching decision function is the perception result of the second perception type and the perception result of the first perception type, the core network network element obtains the perception result of the first perception type, the perception result of the second perception type and the perception result of the third type, and the core network network element can perform the following steps: input the first perception result and the third perception result into the first cell switching decision function, thereby obtaining the cell switching strategy of the UE.

[0268] For example, the input of the first cell switching decision function is the measurement result of the network device on the perception reference signal and the image captured by the camera, and the input of the second cell switching decision function is the measurement result of the network device on the perception reference signal and the rainfall measured by the rain gauge. The priority of the camera is higher than the priority of the rain gauge, or the priority of the first cell switching decision function is higher than the priority of the second cell switching decision function. When the core network element receives the measurement result of the perception reference signal from the network device, receives the rainfall measured by the rain gauge from the UE, and receives the image from the camera, it determines the cell switching strategy based on the first cell switching decision function.

[0269] As an example, the first network device and the second network device may be the same network device.

[0270] S1350-a, the core network device sends a switching command to the UE, where the switching command indicates a cell switching strategy, that is, instructs the UE to switch to a target cell.

[0271] S1350-b, the core network device sends a switching command to the first network device; the switching command indicates a cell switching strategy; the first network device then sends a switching command to the UE, instructing the UE to switch to the target cell.

[0272] S1360: The UE switches to a target cell in the second network device based on the switching command.

[0273] Fig.14 This is another exemplary process of the cell switching method of the present application. Fig.14 The method shown includes S1410, S1420, S1430, S1440, S1450 and S1460. In the method, the first network device is a decision-making device, and the sensing device may include one or more of the following devices: UE, sensor, or the first network device.

[0274] S1410, the first network device performs a perception task to obtain a first perception result.

[0275] As an example, the first network device may be a network device corresponding to a source cell of the UE.

[0276] As an example, the first perception result may include at least one of the following: a result obtained by the first network device measuring a perception reference signal sent by the first network device, a result obtained by the first network device measuring a perception reference signal sent by the second network device, and a result obtained by the first network device measuring a perception reference signal sent by the UE.

[0277] S1420, the UE sends a second perception result to the first network device. Correspondingly, the first network device receives the second perception result from the UE.

[0278] As an example, the second perception result may include at least one of the following: a result obtained by the UE measuring a perception reference signal sent by the first network device, a result obtained by the UE measuring a perception reference signal sent by the UE, and a result obtained by the UE measuring a perception reference signal sent by other terminals and / or the second network device.

[0279] As an example, the UE may also send the perception type of the second perception result to the first network device.

[0280] S1430: The sensor sends the third sensing result to the first network device. Correspondingly, the first network device receives the third sensing result from the sensor.

[0281] The third perception result may be a result obtained by the sensor performing a perception task.

[0282] The sensor may include one or more of an image sensor, a temperature sensor, a position sensor, a rain sensor, a distance sensor, an energy consumption sensor, a speed sensor, an acceleration sensor, a radiation sensor, a vibration sensor, a humidity sensor, a magnetic sensor, a gas sensor, a vacuum sensor, a biosensor and an optical sensor.

[0283] As an example, the sensor may further send the sensing type of the first sensing result to the first network device.

[0284] S1440, the first network device determines a cell switching strategy of the UE according to a cell switching decision function associated with at least one perception type corresponding to at least one perception result among the first perception result, the second perception result and the third perception result.

[0285] Understandably, Fig.14 The embodiments shown are only examples, and in some embodiments corresponding to actual scenarios, only some steps in S1410, S1420 and S1430 may be included. For example, only the UE and the sensor report the perception results; for another example, only the network device obtains the perception results and the sensor reports the perception results; for another example, only the UE or the sensor reports the perception results.

[0286] This step may refer to S1340 and will not be described again here.

[0287] S1450: The first network device sends a handover command to the UE, where the handover command indicates a cell handover strategy, that is, instructs the UE to handover to a target cell.

[0288] S1460: The UE switches to a target cell in the second network device based on the switching command.

[0289] In the method shown in the above embodiment of the present application, because the decision-making device determines the cell switching decision function based on the perception type of the perception result after obtaining the perception result, therefore, no matter how many or few perception results the decision-making device obtains, no matter what perception type the perception result obtained by the decision-making device is, as long as any subset of all perception types corresponding to these perception results is associated with the cell switching decision function, or in other words, as long as the perception type of the perception result input by at least one cell switching decision function matches any subset of all perception types corresponding to these perception results, the cell switching strategy of the UE can be obtained through the cell switching function decision based on the perception result of the perception type in the subset.

[0290] In this way, not only can the flexibility of obtaining the cell switching strategy of the UE be achieved, thereby achieving the flexibility of cell switching; it can also help reduce the time waiting for too many perception results, thereby helping to reduce the delay in obtaining the cell switching strategy, and further helping to reduce the delay in cell switching.

[0291] It should be understood that in the present application, indication includes direct indication (also called explicit indication) and implicit indication. Wherein, direct indication of information A means including the information A; implicit indication of information A means indicating information A through the correspondence between information A and information B and direct indication of information B. Wherein, the correspondence between information A and information B can be predefined, pre-stored, pre-burned, or pre-configured.

[0292] It should be understood that in the present application, information C is used to determine information D, which includes information D being determined based only on information C, and information D being determined based on information C and other information. In addition, information C is used to determine information D, and it can also be indirectly determined, for example, information D is determined based on information E, and information E is determined based on information C.

[0293] In addition, "device A sends information A to device B" in each embodiment of the present application can be understood as the destination of the information A or the intermediate device in the transmission path between the destination and the device B, which may include directly or indirectly sending information to device B. "Device B receives information A from device A" can be understood as the source of the information A or the intermediate device in the transmission path between the source and the device A, which may include directly or indirectly receiving information from device A. The information may be processed as necessary between the source and the destination of the information transmission, such as format changes, but the destination can understand the valid information from the source. Similar expressions in the present application can be understood similarly and will not be repeated here.

[0294] Fig.15 FIG. 1 is a schematic diagram of the structure of a communication device according to an embodiment of the present application. Fig.15 As shown, the apparatus 1500 may include a processing module 1501 and a communication module 1502 .

[0295] As a first example, the apparatus 1500 may be used to implement Figures 9 to 14 A communication method implemented by a decision-making device in any of the embodiments shown in FIG. 1 . For example, the processing module 1501 is used to implement Figures 9 to 14 The communication module 1502 is used to implement the steps of determining and judging and processing related to any of the embodiments shown in the embodiment. Figures 9 to 14 Any of the illustrated embodiments includes steps of sending and / or receiving performed by a decision-making device.

[0296] As a second example, the apparatus 1500 may be used to implement Figures 9 to 14 A communication method implemented by a sensing device in any of the embodiments shown in FIG. 1 . For example, the processing module 1501 is used to implement Figures 9 to 14 The communication module 1502 is used to implement the steps of determining and judging and other processing-related steps performed by the sensing device in any of the embodiments shown in Figures 9 to 14 Any of the illustrated embodiments includes steps of sending and / or receiving performed by a sensing device.

[0297] Fig.16 This is a schematic diagram of the structure of a communication device provided by another embodiment of the present application. Fig.16As shown, the device 1600 includes a processor 1601 and a communication circuit 1602. The processor 1601 and the communication circuit 1602 are coupled to each other. It is understood that the communication circuit 1602 can be a transceiver or an input-output interface. Optionally, the device 1600 may also include a memory 1603 for storing instructions executed by the processor 1601 or storing input data required by the processor 1601 to run the instructions or storing data generated after the processor 1601 runs the instructions. It is understood that the memory 1603 may be located outside the processor 1601, or inside the processor 1601.

[0298] As an example, the processor 1601 is used to implement the functions of the processing module 1501 described above, and the communication circuit 1602 is used to implement the functions of the communication module 1502 described above.

[0299] The device 1600 may be a communication device or a chip used in a communication device. For example, the device 1600 may be a UE or a chip used in a UE, a network device or a chip used in a network device, a core network device or a chip used in a core network element, or a sensor or a chip used in a sensor. It is understandable that when the device 1600 is a UE or a network device or a sensor, the communication circuit 1602 may be a transceiver, when the device 1600 is a core network element or a sensor, the communication circuit 1602 may be a transceiver circuit, and when the device 1600 is a chip, the communication circuit 1602 may be an interface circuit.

[0300] In some embodiments of the present application, a computer program product is also provided. When the computer program product is run on a processor, it can implement the method implemented by the decision-making device in any of the above embodiments, or it can implement the method implemented by perception in any of the above method embodiments.

[0301] In some embodiments of the present application, a computer-readable storage medium is also provided, which includes computer instructions. When the computer instructions are executed on a processor, the method implemented by the decision-making device in any of the above embodiments can be implemented, or the method implemented by the perception device in any of the above method embodiments can be implemented.

[0302] In some embodiments of the present application, a communication system is also provided, which can implement the method implemented by the perception device and the decision-making device in any of the above embodiments.

[0303] It is understood that the processor in the embodiments of the present application can be the following devices or all or part of the circuits in the following devices for processing functions: central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. The general-purpose processor can be a microprocessor or any conventional processor.

[0304] The method steps in the embodiments of the present application can be implemented by hardware, or by a processor executing software instructions. The software instructions can be composed of corresponding software modules, and the software modules can be stored in a random access memory, a flash memory, a read-only memory, a programmable read-only memory, an erasable programmable read-only memory, an electrically erasable programmable read-only memory, a register, a hard disk, a mobile hard disk, a CD-ROM, or any other form of storage medium well known in the art. An exemplary storage medium is coupled to the processor so that the processor can read information from the storage medium and can write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an ASIC. In addition, the ASIC can be located in a network device or a terminal device. Of course, the processor and the storage medium can also be present in a network device or a terminal device as discrete components.

[0305] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer programs or instructions. When the computer program or instruction is loaded and executed on a computer, the process or function described in the embodiment of the present application is executed in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, a network device, a user device or other programmable device. The computer program or instruction may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer program or instruction may be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless means. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server, data center, etc. that integrates one or more available media. The available medium may be a magnetic medium, for example, a floppy disk, a hard disk, a tape; it may also be an optical medium, for example, a digital video disc; it may also be a semiconductor medium, for example, a solid-state hard disk.

[0306] In the various embodiments of the present application, unless otherwise specified or provided in a logical conflict, the terms and / or descriptions between the different embodiments are consistent and may be referenced to each other, and the technical features in the different embodiments may be combined to form new embodiments according to their inherent logical relationships.

[0307] It is understood that the various numbers involved in the embodiments of the present application are only for the convenience of description and are not used to limit the scope of the embodiments of the present application. The size of the sequence number of the above-mentioned processes does not mean the order of execution, and the execution order of each process should be determined by its function and internal logic.

Claims

1. A cell switching method, characterized in that: The method comprises: Acquire at least one perception result and at least one perception type corresponding to the at least one perception result, where the at least one perception type is the perception type of each perception result in the at least one perception result; A cell switching strategy is determined according to a cell switching decision function associated with all or part of the perception types in the at least one perception type, wherein the input of the cell switching decision function is the perception results of all or part of the perception types, and the cell switching strategy includes at least one of the following: performing a cell switching on the first terminal device, not performing a cell switching on the first terminal device, or a target cell of the first terminal device.

2. The method according to claim 1, characterized in that The perception type of each perception result is determined based on at least one of the following information of the perception task corresponding to each perception result: a perception device, a perception object, a perception operation, or a source of the perception object.

3. The method according to claim 1 or 2, characterized in that: Each of the perception results is a perception result obtained by one of the following perception tasks: the first terminal device measures a perception reference signal sent by a network device, the first terminal device measures a perception reference signal sent by the first terminal device, the first terminal device measures a perception reference signal sent by other terminal devices, the first network device measures a perception reference signal sent by the first network device, the first network device measures a perception reference signal sent by other network devices, or the first network device measures a perception reference signal sent by the first terminal device; Among them, the perception type of each perception result is the type of perception task corresponding to each perception result.

4. The method according to any one of claims 1 to 3, characterized in that Each of the sensing results is a sensing result obtained by performing a sensing task using one of the following sensors: an image sensor, a position sensor, a rain sensor, a speed sensor, an acceleration sensor, a gas sensor, and an optical sensor; The perception type of each perception result is the type of the perception device corresponding to each perception result.

5. The method according to any one of claims 1 to 4, characterized in that When each perception result is a predicted amount of business volume of a network device, the perception type of each perception result is a predicted value of business flow of the network device; or, when each perception result is an interference prediction of the network device, the perception type of each perception result is a predicted value of interference of the network device.

6. The method according to any one of claims 1 to 5, characterized in that The method further comprises: The cell switching strategy is sent.

7. The method according to any one of claims 1 to 6, characterized in that The method comprises: Sending first indication information, where the first indication information is used to instruct a target sensing device to report a sensing result, where the target sensing device includes at least one sensing device; Wherein, obtaining at least one perception result includes: Receive a sensing result from each of the target sensing devices.

8. The method according to claim 7, characterized in that The first indication information includes the type of the target sensing device.

9. The method according to any one of claims 1 to 8, characterized in that The cell switching decision function is one of a plurality of cell switching decision functions, the plurality of cell switching decision functions correspond one-to-one to a plurality of perception type sets, and the perception type set corresponding to each cell switching decision function in the plurality of cell switching decision functions includes one or more perception types.

10. The method according to claim 9, characterized in that The at least one perception type includes M perception types, where M is a positive integer greater than 1, N perception types among the M perception types are associated with a first cell handover decision function, where N is a positive integer less than or equal to M, T perception types among the M perception types are associated with a second cell handover decision function, where T is a positive integer less than or equal to M, at least one perception type is different between the N perception types and the M perception types, and a priority of the first cell handover decision function is higher than a priority of the second cell handover decision function; The determining of the cell switching strategy according to the cell switching decision function associated with all or part of the at least one sensing type includes: The cell switching strategy is determined based on the sensing result belonging to the N sensing types in the at least one sensing result and the first cell switching decision function.

11. A communication device, characterized in that: The method comprises a functional module for implementing the method according to any one of claims 1 to 10.

12. A communication device, characterized in that: include: Memory and processor; The memory is used to store program instructions; The processor is configured to execute program instructions in the memory to implement the method according to any one of claims 1 to 10.

13. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program code for computer execution, wherein the program code includes instructions for implementing the method according to any one of claims 1 to 10.

Images