Information processing method and apparatus, device, system, storage medium, and program product

Abstract

The present disclosure relates to an information processing method and apparatus, a device, a system, a storage medium and a program product. A terminal device predicts, on the basis of an AI model, arrival information of uplink data arriving in the future to obtain said arrival information; and determines, on the basis of the arrival information, whether to trigger a serving cell change. The solution of embodiments of the present disclosure can avoid a delay in sending data caused by a serving cell change and ensure the reliability of a communication process, and using AI to predict arrival information of uplink data arriving in the future can achieve high accuracy of a prediction result and high efficiency, and can ensure the accuracy of the predicted arrival information of the uplink data, thereby accurately determining whether to trigger the serving cell change.

Description

Information processing methods, apparatus, equipment, systems, storage media and program products Technical Field

[0001] This disclosure relates to the field of communication technology, and in particular to an information processing method, apparatus, device, system, storage medium, and program product. Background Technology

[0002] With the continuous development of communication technology, the requirements for service quality are also getting higher and higher. In order to ensure the stability of terminal device connection and high-quality communication service, terminal device can trigger service cell change, thereby connecting to different service cells. Summary of the Invention

[0003] This disclosure provides an information processing method, apparatus, device, system, storage medium, and program product for predicting uplink data arrival information, and determining whether to trigger a serving cell change based on the arrival information, so as to avoid data transmission delay caused by serving cell change when uplink data arrives, thereby ensuring the reliability of the communication process.

[0004] According to a first aspect of the present disclosure, an information processing method is proposed, executed by a terminal device, the method comprising: predicting the arrival information of future uplink data based on an AI model to obtain the arrival information of future uplink data; and determining whether to trigger a serving cell change based on the arrival information.

[0005] In this embodiment of the present disclosure, the terminal device can predict the arrival information of the uplink data that will arrive in the future. Based on the arrival information, it can determine whether to trigger a serving cell change, so as to avoid the data transmission delay caused by the serving cell change and thus ensure the reliability of the communication process.

[0006] In addition, this embodiment proposes to use AI to predict the arrival information of uplink data. The prediction results are highly accurate and efficient, which can ensure the accuracy of the predicted arrival information of uplink data, and thus accurately determine whether to trigger a change of serving cell.

[0007] According to a second aspect of the embodiments of this disclosure, an information processing method is provided, executed by a network device, the method comprising:

[0008] The receiving terminal device sends a first indication message; wherein the first indication message is used to indicate a serving cell change delay, and the first indication message is sent when it is determined that a serving cell change will not be triggered. Whether a serving cell change is triggered is determined based on the arrival information of uplink data, and the arrival information is obtained by predicting uplink data that will arrive in the future based on an AI model.

[0009] In this embodiment of the present disclosure, the network device can accurately determine whether the serving cell change is delayed based on the first indication information, so as to avoid changing the serving cell when the uplink data arrives, thereby causing a delay in data transmission and ensuring the reliability of the communication process.

[0010] According to a third aspect of the present disclosure, an information processing apparatus is provided, comprising:

[0011] The processing module is used to predict the arrival information of future uplink data based on an AI model, obtain the arrival information of future uplink data, and determine whether to trigger a serving cell change based on the arrival information.

[0012] According to a fourth aspect of the present disclosure, an information processing apparatus is provided, comprising:

[0013] The transceiver module is used to receive first indication information sent by the terminal device; wherein, the first indication information is used to indicate the delay of serving cell change, and the first indication information is sent when it is determined that serving cell change will not be triggered. Whether serving cell change is triggered is determined based on the arrival information of uplink data, and the arrival information is obtained by predicting the uplink data to arrive in the future based on an AI model.

[0014] According to a fifth aspect of the present disclosure, a terminal device is provided, comprising: one or more processors; wherein the terminal device is configured to perform the information processing method of any one of the first aspects.

[0015] According to a sixth aspect of the present disclosure, a network device is provided, comprising: one or more processors; wherein the network device is configured to perform the information processing method of any of the second aspects.

[0016] According to a seventh aspect of the present disclosure, an information processing system is provided, comprising: a terminal device and a network device; wherein the terminal device is configured to implement the information processing method of any one of the first aspects; and the network device is configured to implement the information processing method of any one of the second aspects.

[0017] According to an eighth aspect of the present disclosure, a storage medium is provided that stores instructions which, when executed on a communication device, implement the information processing method as described in the first or second aspect.

[0018] According to a ninth aspect of the present disclosure, a program product is provided, the program product including a program and / or instructions, which, when executed by a communication device, implement the information processing method as described in the first or second aspect. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings required for the description of the embodiments are introduced below. The following drawings are only some embodiments of this disclosure and do not impose specific limitations on the protection scope of this disclosure.

[0020] Figure 1a is an exemplary architecture diagram of an information processing system according to an embodiment of this disclosure.

[0021] Figure 1b is a schematic diagram of a data transmission model between a terminal device and a network device provided according to an embodiment of the present disclosure.

[0022] Figure 2a is an exemplary interactive schematic diagram of an information processing method provided according to an embodiment of the present disclosure.

[0023] Figure 2b is a schematic diagram of a QoS architecture provided according to an embodiment of the present disclosure.

[0024] Figure 3 is an exemplary flowchart of an information processing method provided according to an embodiment of the present disclosure.

[0025] Figure 4a is an exemplary structural diagram of an information processing apparatus provided according to an embodiment of the present disclosure.

[0026] Figure 4b is a schematic diagram of an exemplary structure of an information processing apparatus provided according to an embodiment of the present disclosure.

[0027] Figure 5a is an exemplary structural diagram of a communication device provided according to an embodiment of the present disclosure.

[0028] Figure 5b is an exemplary structural diagram of a chip provided according to an embodiment of the present disclosure. Detailed Implementation

[0029] This disclosure provides an information processing method, apparatus, device, system, storage medium, and program product for reflecting the real-time transmission delay of data packets sent by a terminal device.

[0030] In a first aspect, embodiments of this disclosure propose an information processing method executed by a terminal device. The method includes: using a base AI model to predict the arrival information of uplink data arriving in the future, thereby obtaining the arrival information of uplink data arriving in the future; and determining whether to trigger a serving cell change based on the arrival information.

[0031] In this embodiment of the present disclosure, the terminal device can predict the arrival information of the uplink data that will arrive in the future. Based on the arrival information, it can determine whether to trigger a serving cell change, so as to avoid the data transmission delay caused by the serving cell change and thus ensure the reliability of the communication process.

[0032] In addition, this embodiment proposes to use AI to predict the arrival information of uplink data. The prediction results are highly accurate and efficient, which can ensure the accuracy of the predicted arrival information of uplink data, and thus accurately determine whether to trigger a change of serving cell.

[0033] In conjunction with some embodiments of the first aspect, in some embodiments, the serving cell change includes at least one of the following:

[0034] Conditional toggle CHO;

[0035] Mobility LTM handover triggered by the physical layer / data link layer.

[0036] In conjunction with some embodiments of the first aspect, in some embodiments, the arrival information is used to indicate at least one of the following:

[0037] The data type of the upstream data;

[0038] The size of the upstream data;

[0039] Uplink data arrival time;

[0040] Predict the confidence level of the arriving information.

[0041] In this embodiment of the disclosure, different types of data may require different bandwidths or priorities. By predicting the data type of uplink data, the network management system can optimize resource allocation, improve the efficiency of traffic management, and reduce latency and congestion.

[0042] Predicting the size of the uplink data volume can help allocate network resources in advance and avoid insufficient bandwidth or waste of resources.

[0043] Predicting the arrival time of upstream data can improve system response speed and service quality.

[0044] Confidence levels can be used to quantitatively assess the reliability of predicted arrival information, thereby optimizing resource scheduling and improving communication efficiency.

[0045] In conjunction with some embodiments of the first aspect, in some embodiments, the data type is used to indicate at least one of the following:

[0046] The channel for transmitting uplink data;

[0047] Logical channel group for transmitting uplink data;

[0048] Service quality requirements for uplink data;

[0049] Quality of Service (QoS) flow of uplink data.

[0050] In this embodiment of the disclosure, predicting the channel through which uplink data is transmitted can help optimize channel allocation and improve channel utilization.

[0051] Predicting the logical channel group for uplink data transmission helps to better manage data flow priorities and bandwidth allocation. For example, resource allocation strategies can be adjusted based on the logical channel group to ensure the quality of service (QoS) of high-priority data flows. Predicting the QoS requirements of uplink data helps the network adjust resources in advance to meet the needs of different applications. For example, network configuration can be optimized in advance based on QoS requirements to reduce latency and packet loss. Predicting the QoS flow of uplink data helps to understand the QoS flow information, which helps to identify and classify different types of data flows and optimize traffic management. For example, traffic shaping and priority scheduling can be performed to ensure the stability and reliability of critical data flows.

[0052] In conjunction with some embodiments of the first aspect, in some embodiments, the quality of service requirement is used to indicate at least one of the following:

[0053] Sending delay;

[0054] Sending rate;

[0055] Sending priority;

[0056] Error rate;

[0057] The resource type required to send uplink data.

[0058] In this embodiment of the disclosure, by predicting transmission latency, routing and resource allocation can be optimized based on transmission latency to ensure the response speed of real-time applications; by predicting transmission rate, bandwidth allocation can be dynamically adjusted based on transmission rate to ensure efficient utilization of network resources, while avoiding buffering and interruptions and improving service continuity; by predicting transmission priority, transmission priority can be identified and managed based on transmission priority to optimize network traffic scheduling, ensuring priority transmission of critical tasks and high-priority data streams, and ensuring the performance and reliability of critical business applications; by predicting transmission error rate, the reliability and accuracy of data transmission can be improved, reducing retransmissions and data loss; by predicting the resource types required for transmitting uplink data, the required resource types (such as computing, storage, and bandwidth) can be understood based on resource types, which can optimize resource allocation strategies and improve the utilization efficiency of network and computing resources.

[0059] In conjunction with some embodiments of the first aspect, in some embodiments, it is determined that a serving cell change is not triggered when at least one of the following is met: the uplink data meets a first requirement; the arrival time of the uplink data meets a second requirement, wherein the second requirement is that the arrival time of the uplink data is within a first time window.

[0060] In conjunction with some embodiments of the first aspect, in some embodiments, the first requirement is used to indicate at least one of the following: the type of uplink data is a first preset type; the priority of uplink data is higher than a first preset priority; the quality of service requirement of uplink data is a first preset quality of service requirement; and the transmission delay requirement of uplink data is less than a set duration.

[0061] In this embodiment of the disclosure, the terminal device determines that it will not trigger a serving cell change when certain conditions are met. This can accurately determine whether a serving cell change is triggered, thereby avoiding data transmission delays caused by serving cell changes and ensuring the reliability of the communication process.

[0062] In conjunction with some embodiments of the first aspect, in some embodiments, priority is used to indicate at least one of the following: quality of service priority; logical channel priority.

[0063] In conjunction with some embodiments of the first aspect, in some embodiments, the first time window includes a handover interruption time window when the terminal device is switching cells, and the handover interruption time window is the time window from the start of the handover to the successful access to the target cell by the terminal device;

[0064] The first time window is determined based on at least one of the following: the first absolute time and the first duration; the first duration, wherein the first time window is the sum of the predicted time and the first duration.

[0065] In conjunction with some embodiments of the first aspect, in some embodiments, the first preset type, the first preset priority, the first preset service quality requirement, or any one of the first time window corresponding to different target serving cells are different.

[0066] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes: sending a first indication message to a network device if it is determined that a serving cell change will not be triggered; wherein the first indication message is used to indicate a serving cell change delay.

[0067] In this embodiment of the disclosure, the network device is instructed by the first indication information whether the serving cell change is delayed, which can delay the serving cell change, thereby avoiding the data transmission delay caused by the serving cell change process and ensuring the reliability of the communication process.

[0068] In conjunction with some embodiments of the first aspect, in some embodiments, the first indication information is also used to indicate at least one of the following: arrival information; identification information of delayed serving cell change.

[0069] In conjunction with some embodiments of the first aspect, in some embodiments, the input to the AI ​​model includes at least one of the following: the arrival time of historical uplink data of the terminal device; and the type information of the historical uplink data.

[0070] In this embodiment of the disclosure, by analyzing the arrival time and type information of historical uplink data, the prediction model can more accurately identify the data transmission pattern and trend, and thus accurately predict the arrival information of uplink data; moreover, by utilizing historical data, it is possible to better predict the data traffic demand that will arrive in the future, thereby optimizing the allocation of bandwidth and other resources; at the same time, by understanding the types of historical data, it is possible to prioritize the processing of high-priority or critical task data streams, ensuring that service quality requirements are met.

[0071] Secondly, embodiments of this disclosure provide an information processing method executed by a network device. The method includes: receiving first indication information sent by a terminal device; wherein the first indication information is used to indicate a serving cell change delay, the first indication information is sent when it is determined that a serving cell change will not be triggered, and whether a serving cell change is triggered is determined based on the arrival information of uplink data, the arrival information being obtained by predicting future uplink data based on an AI model.

[0072] In conjunction with some embodiments of the second aspect, in some embodiments, the serving cell change includes at least one of the following: conditional handover (CHO); physical layer / data link layer triggered mobility LTM handover.

[0073] In conjunction with some embodiments of the second aspect, in some embodiments, the arrival information is used to indicate at least one of the following: the data type of the uplink data; the data volume of the uplink data; the arrival time of the uplink data; and the confidence level of the predicted arrival information.

[0074] In conjunction with some embodiments of the second aspect, in some embodiments, the data type is used to indicate at least one of the following: the logical channel through which uplink data arrives; the logical channel group through which uplink data arrives; the quality of service requirements for uplink data; and the quality of service stream for uplink data.

[0075] In conjunction with some embodiments of the second aspect, in some embodiments, the quality of service requirement is used to indicate at least one of the following: transmission latency; transmission rate; transmission priority; transmission error rate; and the type of resource required to transmit uplink data.

[0076] In conjunction with some embodiments of the second aspect, in some embodiments, it is determined that a serving cell change is not triggered when at least one of the following conditions is met:

[0077] The uplink data meets the first requirement;

[0078] The arrival time of the uplink data meets the second requirement, which is that the arrival time of the uplink data is within the first time window.

[0079] In conjunction with some embodiments of the second aspect, in some embodiments, the second requirement includes at least one of the following: the type of uplink data is a first preset type; the priority of uplink data is higher than the first preset priority; and the quality of service requirement of uplink data is the first preset quality of service requirement.

[0080] In conjunction with some embodiments of the second aspect, in some embodiments, the priority of uplink data is used to indicate at least one of the following: quality of service priority; logical channel priority.

[0081] In conjunction with some embodiments of the second aspect, in some embodiments, the first time window includes the handover interruption time window when the terminal device is switching cells, and the handover interruption time window is the time window from the start of the handover to the successful access to the target cell by the terminal device.

[0082] The first time window is determined based on at least one of the following: the first absolute time and the first duration; the first duration, wherein the first time window is the sum of the predicted time and the first duration.

[0083] In conjunction with some embodiments of the second aspect, in some embodiments, the first preset type, the first preset priority, the first preset service quality requirement, or any one of the first time window corresponding to different target serving cells are different.

[0084] In conjunction with some embodiments of the second aspect, in some embodiments, the first indication information is also used to indicate at least one of the following: arrival information; identification information of delayed serving cell change.

[0085] In conjunction with some embodiments of the second aspect, in some embodiments, the input to the AI ​​model includes at least one of the following: the arrival time of historical uplink data of the terminal device; and the type information of historical uplink data.

[0086] Thirdly, embodiments of this disclosure provide an information processing apparatus, which includes:

[0087] The processing module is used to predict the arrival information of future uplink data based on an AI model, obtain the arrival information of future uplink data, and determine whether to trigger a serving cell change based on the arrival information.

[0088] Fourthly, embodiments of this disclosure provide an information processing apparatus, which includes:

[0089] The transceiver module is used to receive the first indication information sent by the terminal device;

[0090] The first indication information is used to indicate the delay of serving cell change. The first indication information is sent when it is determined that serving cell change will not be triggered. Whether serving cell change is triggered is determined based on the arrival information of uplink data. The arrival information is obtained by predicting uplink data that will arrive in the future based on an AI model.

[0091] Fifthly, embodiments of this disclosure provide a terminal device, the terminal device comprising: one or more processors; wherein the terminal device is configured to execute the information processing method of any one of the first aspects.

[0092] In a sixth aspect, embodiments of this disclosure provide a network device comprising: one or more processors; wherein the network device is configured to perform the information processing method of any of the second aspects.

[0093] In a seventh aspect, embodiments of this disclosure provide an information processing system, including: a terminal device and a network device; wherein the terminal device is configured to implement the information processing method of any one of the first aspects; and the network device is configured to implement the information processing method of any one of the second aspects.

[0094] Eighthly, a storage medium is proposed, which stores instructions that, when executed on a communication device, implement information processing methods as described in either the first or second aspect.

[0095] In the ninth aspect, a program product is proposed, which includes a program and / or instructions, which, when executed by a communication device, implement an information processing method as described in either the first or second aspect.

[0096] In a tenth aspect, embodiments of this disclosure provide a computer program that, when run on a computer, causes the computer to perform an information processing method as described in either the first or second aspect.

[0097] Eleventhly, embodiments of this disclosure provide a chip or chip system. The chip or chip system includes processing circuitry configured to perform the information processing method according to any one of the first and second aspects described above.

[0098] It is understood that the aforementioned information processing apparatus, terminal equipment, network equipment, information processing system, storage medium, program product, computer program, chip, or chip system are all used to execute the methods proposed in the embodiments of this disclosure. Therefore, the beneficial effects that can be achieved can be referred to the beneficial effects in the corresponding methods, and will not be repeated here.

[0099] This disclosure provides an information processing method, apparatus, device, system, storage medium, and program product. In some embodiments, the terms "information processing method," "arrival information processing method," "communication method," and "arrival information determination method" are interchangeable; similarly, the terms "information processing apparatus," "arrival information processing apparatus," "communication apparatus," and "arrival information determination apparatus" are interchangeable.

[0100] This disclosure is not exhaustive, but merely illustrative of some embodiments, and is not intended to limit the scope of protection of this disclosure. Unless otherwise specified, each step in a particular embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged. Furthermore, the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined, for example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0101] In each of the disclosed embodiments, unless otherwise specified or in case of logical conflict, the terminology and / or descriptions of the embodiments are consistent and can be referenced by each other. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0102] The terminology used in the embodiments of this disclosure is for the purpose of describing particular embodiments only and is not intended to limit the scope of this disclosure.

[0103] In this embodiment of the disclosure, unless otherwise stated, elements expressed in the singular form, such as "a," "an," "the," "the aforementioned," "the," "this," etc., can mean "one and only one," or "one or more," "at least one," etc. For example, when using articles such as "a," "an," "the," etc. in translation, the noun following the article can be understood as either a singular expression or a plural expression.

[0104] In the embodiments disclosed herein, "multiple" refers to two or more.

[0105] In some embodiments, the terms “at least one of”, “one or more”, “a plurality of”, “multiple”, etc., may be used interchangeably.

[0106] In some embodiments, the notation "at least one of A and B", "A and / or B", "A in one case, B in another", "in response to one case A, in response to another case B", etc., may include the following technical solutions depending on the situation: in some embodiments, A (execute A regardless of B); in some embodiments, B (execute B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, A and B (both A and B are executed). The same applies when there are more branches such as A, B, C, etc.

[0107] In some embodiments, the notation "A or B" may include the following technical solutions, depending on the situation: in some embodiments, A (execution of A regardless of B); in some embodiments, B (execution of B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The same applies when there are more branches such as A, B, C, etc.

[0108] The prefixes "first," "second," etc., used in the embodiments of this disclosure are merely for distinguishing different descriptive objects and do not impose restrictions on the position, order, priority, quantity, or content of the descriptive objects. The description of the descriptive objects is found in the claims or the context of the embodiments, and the use of prefixes should not constitute unnecessary restrictions. For example, if the descriptive object is a "field," the ordinal numbers preceding "field" in "first field" and "second field" do not restrict the position or order of the "fields." "First" and "second" do not restrict whether the "fields" they modify are in the same message, nor do they restrict the order of "first field" and "second field." Similarly, if the descriptive object is a "level," the ordinal numbers preceding "level" in "first level" and "second level" do not restrict the priority between "levels." Furthermore, the number of descriptive objects is not limited by ordinal numbers and can be one or more. For example, in "first device," the number of "devices" can be one or more. Furthermore, the objects modified by different prefixes can be the same or different. For example, if the object being described is "device", then "first device" and "second device" can be the same device or different devices, and their types can be the same or different. Similarly, if the object being described is "information", then "first information" and "second information" can be the same information or different information, and their content can be the same or different.

[0109] In some embodiments, “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0110] In some embodiments, the terms “in response to…”, “in response to determining…”, “in the case of…”, “when…”, “if…”, “if…”, etc., can be used interchangeably.

[0111] In some embodiments, the terms “greater than,” “greater than or equal to,” “not less than,” “more than,” “more than or equal to,” “not less than,” “higher than,” “higher than or equal to,” “not lower than,” and “above” can be used interchangeably, as can the terms “less than,” “less than or equal to,” “not greater than,” “less than,” “less than or equal to,” “not more than,” “lower than,” “lower than or equal to,” “not higher than,” and “below”.

[0112] In some embodiments, the apparatus and device may be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they may also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "body", etc.

[0113] In some embodiments, the acquisition of data, information, etc., may comply with the laws and regulations of the country where the location is situated.

[0114] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0115] Furthermore, each element, each row, or each column in the table of this disclosure can be implemented as an independent embodiment, and any combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0116] Figure 1a is an exemplary architectural diagram of an information processing system according to an embodiment of this disclosure. As shown in Figure 1a, the information processing system 100 includes a terminal device 101 and a network device 102. It should be understood that the number and form of each device shown in Figure 1a are for illustrative purposes only and do not constitute a limitation on the embodiments of this disclosure. In practical applications, it may include two or more terminal devices, two or more access network devices, or core network devices. The information processing system 100 shown in Figure 1a is only illustrated by example, including one terminal device 101 and one network device 102.

[0117] In some embodiments, terminal device 101 includes, but is not limited to, at least one of the following: mobile phone, wearable device, Internet of Things device, car with communication function, smart car, tablet computer, computer with wireless transceiver function, virtual reality (VR) terminal device, augmented reality (AR) terminal device, wireless terminal device in industrial control, wireless terminal device in self-driving, wireless terminal device in remote medical surgery, wireless terminal device in smart grid, wireless terminal device in transportation safety, wireless terminal device in smart city, and wireless terminal device in smart home.

[0118] In some embodiments, the terms "terminal", "terminal device", "user equipment (UE)", "user terminal", "mobile station (MS)", "mobile terminal (MT)", "subscriber station", "mobile unit", "subscriber unit", "wireless unit", "remote unit", "mobile device", "wireless device", "wireless communication device", "remote device", "mobile subscriber station", "access terminal", "mobile terminal", "wireless terminal", "remote terminal", "handset", "user agent", "mobile client", and "client" can be used interchangeably.

[0119] In some embodiments, network device 102 may be a node or device that connects a terminal to a wireless network. Network device 102 may include at least one of the following in a 5G communication system: evolved Node B (eNB), next-generation eNB (ng-eNB), next-generation Node B (gNB), node B (NB), home node B (HNB), home evolved node B (HeNB), wireless backhaul device, radio network controller (RNC), base station controller (BSC), base transceiver station (BTS), base band unit (BBU), mobile switching center, base station in a 6G communication system, open RAN, cloud RAN, base station in other communication systems, and access node in a Wi-Fi system, but is not limited thereto.

[0120] In some embodiments, the technical solutions of this disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within network devices involved in the embodiments of this disclosure can be transformed into internal interfaces of Open RAN. The processes and information interactions between these internal interfaces can be implemented by software or programs.

[0121] It is understood that the information processing system described in the embodiments of this disclosure is for the purpose of more clearly illustrating the technical solutions of the embodiments of this disclosure, and does not constitute a limitation on the technical solutions proposed in the embodiments of this disclosure. As those skilled in the art will know, with the evolution of system architecture and the emergence of new business scenarios, the technical solutions proposed in the embodiments of this disclosure are also applicable to similar technical problems.

[0122] The following embodiments of this disclosure can be applied to the information processing system 100 shown in FIG1a, or to some of the entities, but are not limited thereto. The entities shown in FIG1a are illustrative. The information processing system may include all or some of the entities in FIG1a, or may include other entities other than those in FIG1a. The number and form of each entity are arbitrary. Each entity may be physical or virtual. The connection relationship between the entities is illustrative. The entities may not be connected or may be connected. The connection may be in any way, such as direct connection or indirect connection, wired connection or wireless connection.

[0123] The embodiments disclosed herein can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), 6th generation mobile communication system (6G), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New radio access (NX), Future generation radio access (FX), Global System for Mobile communications (GSM), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), and IEEE 802.20, Ultra-Wideband (UWB), Bluetooth (a registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X) systems, systems utilizing other communication methods, and next-generation systems built upon them, etc. Furthermore, multiple systems can be combined (e.g., a combination of LTE or LTE-A with 5G).

[0124] With the continuous development of communication technology, the requirements for service quality are also getting higher and higher. In order to ensure the stability of terminal device connection and high-quality communication service, terminal device can trigger service cell change and then connect to different service cells.

[0125] In related technologies, the triggering condition for serving cell change only considers the current channel conditions. After the handover is triggered, the terminal device releases the connection with the serving cell and establishes a connection with the target cell. However, the terminal device cannot communicate with the network before the connection with the target cell is established. If uplink data arrives during the interruption time, the uplink data needs to wait, which will cause uplink data transmission delay.

[0126] To address the aforementioned problems, this disclosure provides an information processing method, apparatus, device, system, storage medium, and program product. The terminal device predicts in advance the arrival information of uplink data that will arrive in the future, and determines whether to trigger a serving cell change based on the arrival information. This avoids data transmission delays caused by performing a serving cell change when uplink data arrives, thereby ensuring the reliability of the communication process.

[0127] In addition, this disclosure proposes to use artificial intelligence (AI) to predict the arrival information of uplink data. The prediction results have high accuracy, which can ensure the accuracy of the predicted arrival information of uplink data, and thus accurately determine whether to initiate a serving cell change.

[0128] The information processing methods, apparatus, equipment, systems, storage media, and program products provided in this disclosure will now be described in detail with reference to the accompanying drawings.

[0129] In this embodiment of the disclosure, please refer to FIG1b, which is a schematic diagram of the data transmission model between a terminal device and a network device according to an embodiment of the present disclosure. As shown in FIG1b, in the uplink Layer 2 structure, the data transmission model typically involves multiple sub-layers and functional modules to support efficient data transmission and management. These sub-layers and functional modules include the following:

[0130] 1. Media Access Control (MAC) layer: Responsible for resource allocation and scheduling. The MAC layer receives data from the upper layer, packages it into MAC Protocol Data Units (PDUs), and sends them to the physical layer according to scheduling information.

[0131] 2. Radio Link Control (RLC) layer: Provides data segmentation and reassembly functions, and sends Segmented Automatic Repeat reQuest (Segm.ARQ). The RLC layer can operate in three modes: Transparent Mode (TM), Unacknowledged Mode (UM), and Acknowledged Mode (AM) to support different quality of service requirements.

[0132] 3. Packet Data Convergence Protocol (PDCP) layer: Responsible for data encryption, integrity protection, and compression, such as header compression. The PDCP layer ensures the security and efficiency of data transmission.

[0133] 4. Service Data Adaptation Protocol (SDAP) layer: Introduced in 5G, it maps Quality of Service (QoS) Flow to Data Radio Bearer (DRB). The SDAP layer classifies and processes data according to QoS requirements.

[0134] Terminal devices can send a BSR (Browser Response Schedule) to network devices to indicate the amount of data available for uplink transmission in the current logical channel group. Each logical channel group includes one or more logical channels, and the mapping relationship between logical channels and logical channel groups is configured by the network device. A maximum of four logical channel groups can be configured. The network device can schedule radio resources for the terminal device to transmit uplink data based on the BSR.

[0135] In some embodiments, the BSR reporting mentioned in this disclosure can be triggered by the following conditions:

[0136] 1. When uplink data arrives on a logical channel, and the logical channel on which the uplink data arrives has a higher priority than the logical channel currently available for transmission, the BSR triggered under this situation is called a Regular BSR.

[0137] 2. When uplink data arrives on the logical channel and no data is waiting to be transmitted, the BSR triggered in this situation is called a regular BSR.

[0138] 3. A BSR triggered by a periodic BSR timer timeout is called a periodic BSR.

[0139] 4. A BSR triggered when the retransmission BSR timer times out and there is data waiting to be transmitted in at least one logical channel is called a regular BSR.

[0140] 5. When there are uplink resources available for transmission, and the number of bits used for padding can accommodate the BSR, MAC, CE, and corresponding subheader, the BSR triggered in this case is called a padding BSR.

[0141] Referring to Figure 2a, Figure 2a is an exemplary interactive schematic diagram of an information processing method provided according to an embodiment of the present disclosure. As shown in Figure 2a, the information processing method includes the following steps:

[0142] Step S2101: The terminal device predicts the arrival information of the uplink data to arrive in the future based on the AI ​​model, and obtains the arrival information of the uplink data to arrive in the future.

[0143] In some embodiments, the name of "AI model" etc. is not limited to the name described in the embodiments, and terms such as "AI model", "machine learning model", "prediction model", "deep learning model", "neural network model", and "AI algorithm" are used interchangeably.

[0144] In some embodiments, the type of AI model disclosed herein is not limited. For example, the AI ​​model may be a Long Short-Term Memory (LSTM) network, a Convolutional Neural Network (CNN), a Transformer model, etc.

[0145] In some embodiments, the AI ​​model includes, but is not limited to, at least one of the following modules:

[0146] An input layer is provided for receiving input data. Optionally, the input data includes at least one of the following: the arrival time of historical uplink data of the terminal device and the type information of historical uplink data.

[0147] A feature extraction layer; wherein, the feature extraction layer is used to extract features from the input data, for example, encoding time information into a format that the AI ​​model can understand. For example, the feature extraction layer can convert the arrival times of the aforementioned historical data into timestamps or time intervals, etc.

[0148] Sequence modeling layer; where, if the AI ​​model is an LSTM model, the LSTM unit can be used to process the input sequence and capture long-term and short-term dependencies in the time series; if the AI ​​model is a CNN model, convolutional layers can be used to extract local temporal features and a sliding window can be used to capture patterns in the time series; if the AI ​​model is a Transformer model, a self-attention mechanism can be used to calculate the correlation between elements in the sequence and capture global dependencies.

[0149] Hidden layers; these can include fully connected layers, recurrent neural network layers (RNNs), etc., used to further extract features and enhance the expressive power of the model.

[0150] Output layer; used to generate prediction results, which are typically one or more numerical values ​​representing the predicted arrival time of the uplink data or other relevant information;

[0151] Loss calculation and optimization layer; used during the training of AI models to calculate the error (e.g., mean squared error) between the predicted output and the true value, or to update model parameters using optimization algorithms (e.g., stochastic gradient descent) to minimize the loss.

[0152] In this embodiment of the disclosure, the parameters of each module in the AI ​​model can be adjusted and optimized according to requirements, and this embodiment of the disclosure does not impose any limitations.

[0153] In some embodiments, the arrival information of uplink data is used to indicate, but is not limited to, at least one of the following:

[0154] The data type of the upstream data;

[0155] The size of the upstream data;

[0156] Uplink data arrival time;

[0157] Confidence in predicting arrival information.

[0158] In some embodiments, confidence level is used to indicate the degree of certainty by which the AI ​​agrees with the inference result (i.e., the predicted arrival information of uplink data) and the true value (i.e., the actual arrival information of uplink data). The name “confidence level” is not limited to the name described in the embodiments; for example, “confidence level” can be used interchangeably with terms such as “accuracy”, “probability”, and “indicator”.

[0159] In some embodiments, the data type is used to indicate, but is not limited to, at least one of the following:

[0160] The channel for transmitting uplink data, which includes logical channels, radio bearers, etc.

[0161] Logical channel group for transmitting uplink data;

[0162] Service quality requirements for uplink data;

[0163] Quality of Service (QoS) flow of uplink data.

[0164] In some embodiments, service quality requirements are used to indicate, but are not limited to, at least one of the following:

[0165] Sending delay;

[0166] Sending rate;

[0167] Sending priority;

[0168] Error rate;

[0169] The resource type required to send uplink data.

[0170] In some embodiments, Quality of Service (QoS) is used to indicate the quality that a service needs to guarantee. QoS can indicate one or a set of service metrics, which may include, but are not limited to, data transmission rate, reliability, transmission latency, peak transmission rate, minimum transmission rate, error rate, priority, etc. QoS requirements are indicated using 5QI identifiers. Specifically, the mapping from 5QI to QoS requirements is shown in Table 1 below:

[0171] Table 1

[0172] In some embodiments, the 5G QoS model is based on QoS flows, supporting both QoS flows that require guaranteed flow bit rate (GBR QoS flows) and QoS flows that do not require guaranteed flow bit rate (non-GBR QoS flows). At the Non-Access Stratum (NAS), QoS flows represent the finest granularity of QoS differentiation within a Protocol Data Unit Session (PDU). QoS flows are identified within a PDU session by the QoS Flow ID (QFI) carried in the encapsulation header on the Next Generation User Plane (NG-U).

[0173] Please refer to Figure 2b, which is a schematic diagram of a QoS architecture provided according to an embodiment of this disclosure. As shown in Figure 2b, this QoS architecture includes New Radio (NR) connected to the 5G Core Network (5GC) and Evolved Universal Terrestrial Radio Access (E-UTRA) connected to the 5GC.

[0174] 1. For each UE, 5GC establishes one or more PDU sessions.

[0175] 2. Except for Narrowband Internet of Things (NB-IoT), Integrated Access and Backhaul Mobile Termination (IAB-MT) and Non-Carrier Radio Mobile Termination (NCR-MT) in Standalone Mode (SA), for each UE, the Next Generation Radio Access Network (NG-RAN) establishes at least one Data Radio Bearer (DRB) with the PDU session, and can subsequently configure additional DRBs for the QoS flow of that PDU session (when to configure is determined by NG-RAN).

[0176] 3. If the NB-IoT UE supports NG-U data transmission, the NG-RAN can establish a data radio bearer (DRB) together with the PDU session, and one PDU session is mapped to only one DRB.

[0177] 4. NG-RAN maps packets belonging to different PDU sessions to different DRBs;

[0178] 5. The NAS layer packet filter in the UE and 5GC associates uplink and downlink packets with QoS flows;

[0179] 6. The AS layer mapping rules in the UE and NG-RAN associate uplink and downlink QoS flows with the DRB.

[0180] In some embodiments, NG-RAN and 5GC ensure quality of service (e.g., reliability and target latency) by mapping packets to appropriate QoS flows and DRBs. Therefore, the mapping from IP flows to QoS flows (NAS) and from QoS flows to DRBs (access stratum) is a two-step process.

[0181] At the NAS level, QoS flows are characterized by the QoS profile provided by the 5GC to the NG-RAN and the QoS rules provided by the 5GC to the UE. The QoS profile is used by the NG-RAN to determine processing on the radio interface, while the QoS rules determine the mapping between uplink user plane traffic and the UE's QoS flows. Depending on its profile, a QoS flow can be GBR or non-GBR. The QoS profile of a QoS flow contains QoS parameters. QoS parameters are, for example:

[0182] 1. For each QoS flow:

[0183] A 5G QoS identifier (5QI);

[0184] Allocation and Retention Priority (ARP).

[0185] 2. For GBR QoS streams only:

[0186] Guaranteed Flow Bit Rate (GFBR) for both uplink and downlink;

[0187] Maximum Flow Bit Rate (MFBR) for both uplink and downlink;

[0188] Maximum packet loss rate for uplink and downlink;

[0189] Delay critical resource types;

[0190] Notification control.

[0191] The maximum packet loss rate (uplink and downlink) is only provided for GBR QoS streams belonging to voice media.

[0192] 3. For non-GBR QoS only:

[0193] Reflective QoS Attribute (RQA): When included, RQA indicates that some (not necessarily all) of the traffic carried by this QoS flow is affected by Reflective Quality of Service (RQoS) at the NAS level;

[0194] Additional QoS flow information.

[0195] In some embodiments, the terminal device may predict uplink data when at least one of the following conditions is met:

[0196] Received a second instruction from the network device;

[0197] The wireless channel measurement results meet the third requirement. This third requirement includes that the wireless channel measurement results are greater than or equal to the first threshold, and less than or equal to the second threshold.

[0198] In this embodiment of the disclosure, the terminal device only predicts the uplink data when the above requirements are met; otherwise, it does not perform prediction, which can save the energy consumption of the terminal device.

[0199] In some embodiments, the first threshold value and the second threshold value can be configured by the network device.

[0200] In some embodiments, the names of "threshold value" and the like are not limited to those described in the embodiments. Terms such as "threshold value", "certain value", "preset value", "preset value", "set value", "threshold", and "preset value" can be used interchangeably. "Threshold value A", "certain value A", "preset value A", "set value A", "threshold A", and "preset value A" can be interpreted as A pre-defined in a protocol or the like, or as A obtained through setting, configuration, or instruction, or as a specific A, a certain A, any A, or a first A, but are not limited thereto.

[0201] In some embodiments, the above-mentioned wireless channel measurement results include, but are not limited to, at least one of the following:

[0202] Reference Signal Received Power (RSRP);

[0203] Reference Signal Received Quality (RSRQ);

[0204] Signal to Interference plus Noise Ratio (SINR).

[0205] In step S2102, the terminal device determines whether to trigger a change of serving cell based on the arrival information.

[0206] In some embodiments, the name for "serving cell change" is not limited to the name described in the embodiments, and terms such as "serving cell change", "serving cell replacement", "serving cell handover", and "serving cell reselection" can be used interchangeably.

[0207] In some embodiments, serving cell changes include, but are not limited to, at least one of the following:

[0208] Conditional Handover (CHO);

[0209] Physical layer / data link layer triggered mobility (L1 / L2 Triggered Mobility, LTM) handover;

[0210] The physical layer is responsible for signal transmission and reception, including signal strength, signal quality (such as signal-to-noise ratio), and bit error rate. L1-triggered mobility handover utilizes these physical layer metrics to determine when handover should be considered; for example, when signal strength drops below a certain threshold, a handover process may be triggered to ensure that user equipment can connect to a base station with a stronger signal. The data link layer handles data frame transmission, including error detection and correction, frame synchronization, etc. L2-triggered mobility handover may be based on data link layer performance metrics, such as frame error rate and retransmission count. When these metrics indicate a deterioration in the quality of the current connection, a handover may be triggered.

[0211] In some embodiments, for a CHO (Call of Homage) handover command, the network device can pre-configure the CHO handover command for the terminal device, including the handover target cell configuration and handover triggering conditions. The handover target cell configuration is a reconfiguration message provided by the target cell. The terminal device stores the received CHO handover command, performs Radio Resource Management (RRM) measurements, and determines whether the handover conditions are met. When the handover triggering conditions are met, the terminal device automatically performs the handover, which is achieved by performing a synchronized reconfiguration with sync (RWS). This avoids radio link failures caused by the base station sending the handover command too late.

[0212] In some embodiments, the handover conditions include events A3 and A5. Event A3 occurs when the channel quality of the neighboring cell is higher than that of the serving cell by a certain value. Event A5 occurs when the channel quality of the neighboring cell is higher than a certain threshold, while the channel quality of the serving cell is lower than a certain threshold. Specifically,

[0213] Conditional Event (CondEvent) A3: The signal quality of the candidate cell for conditional reconfiguration becomes better than that of the primary cell (PCell) / primary secondary cell (PSCell) by a certain offset;

[0214] CondEvent A5: The signal quality of PCell / PSCell becomes worse than absolute threshold 1, and the signal quality of the conditional reconfiguration candidate cell becomes better than another absolute threshold 2.

[0215] In some embodiments, the handover conditions also include the distance between the terminal device and the reference point, as well as the time. The reference point is configured by the network device.

[0216] In some embodiments, a network device can configure one or more handover conditions for a target cell. When multiple handover conditions are configured, a handover to the target cell will only be triggered when all multiple handover conditions are met.

[0217] In some embodiments, it is determined that a serving cell change will not be triggered if at least one of the following conditions is met:

[0218] The uplink data meets the first requirement;

[0219] The arrival time of the uplink data meets the second requirement, which is that the arrival time of the uplink data is within the first time window.

[0220] In some embodiments, the first requirement is used to indicate at least one of the following:

[0221] The type of the upstream data is the first preset type;

[0222] Uplink data has a higher priority than the first preset priority;

[0223] The service quality requirement for uplink data is the first preset service quality requirement;

[0224] The uplink data transmission delay must be less than the set duration.

[0225] In some embodiments, priority is used to indicate at least one of the following:

[0226] Service quality priority;

[0227] Logical channel priority.

[0228] In some embodiments, the first preset type, the first preset priority, the first preset quality of service requirement, the set duration, etc., can be configured by the network device.

[0229] In some embodiments, the first time window and the third threshold value can be configured by the network device.

[0230] In some embodiments, the names of time windows, etc., are not limited to those described in the embodiments. For example, terms such as "duration", "time period", "time window", "window", and "time" can be used interchangeably.

[0231] In some embodiments, the first time window includes the handover interruption time window when the terminal device is switching cells. The handover interruption time window is the time window from the start of the handover to the successful access to the target cell by the terminal device.

[0232] In some embodiments, the first time window is determined based on at least one of the following:

[0233] First absolute time and first duration;

[0234] The first duration and the first time window are the sum of the predicted time and the first duration.

[0235] In some embodiments, the first preset type, first preset priority, first preset service quality requirement, set duration, or any one of the first time window may be different for different target serving cells.

[0236] In step S2103, if the terminal device determines that it will not trigger a change in the serving cell, it sends a first indication message to the network device.

[0237] The first indication information is used to indicate the delay in changing the serving cell.

[0238] In some embodiments, the first indication information is also used to indicate, but is not limited to, at least one of the following:

[0239] Arrival information;

[0240] The service cell identification information has been changed due to the delay.

[0241] In some embodiments, when the first indication information includes arrival information, the network device can determine whether to perform a serving cell change based on the arrival information.

[0242] In some embodiments, step S2103 is optional, and one or more of these steps may be omitted or substituted in different embodiments. For example, if the terminal device determines that it will continue to trigger serving cell changes, step S2103 will not be performed.

[0243] In some embodiments, if the terminal device determines that a serving cell change has been triggered, it continues to perform the serving cell change operation. Optionally, the terminal device may also send an indication message to the network device to instruct it to continue performing the serving cell change. The specific method of performing the serving cell change is not limited in this embodiment.

[0244] In some embodiments, the way in which the network device determines whether to change the serving cell is similar to the way the terminal device determines whether to change the serving cell, and will not be described in detail here.

[0245] Referring to Figure 3, Figure 3 is an exemplary flowchart of an information processing method provided according to an embodiment of this disclosure. It should be understood that the execution subject of the information processing method provided in this embodiment is a terminal device. As shown in Figure 3, the information processing method includes the following steps:

[0246] Step S3101: The terminal device predicts the arrival information of the uplink data to arrive in the future based on the AI ​​model, and obtains the arrival information of the uplink data to arrive in the future.

[0247] It should be noted that the optional implementation of step S3101 above can be found in the optional implementation of step S2101 in Figure 2a and other related parts in the embodiment involved in Figure 2a, which will not be repeated here.

[0248] In step S3102, the terminal device determines whether to trigger a change of serving cell based on the arrival information.

[0249] It should be noted that the optional implementation of step S3102 above can be found in the optional implementation of step S2102 in Figure 2a and other related parts in the embodiment involved in Figure 2a, which will not be repeated here.

[0250] Figure 4a is an exemplary structural schematic diagram of an information processing apparatus provided according to an embodiment of the present disclosure. As shown in Figure 4a, the information processing apparatus 4100 may include:

[0251] The processing module 4101 is used to predict the arrival information of future uplink data based on an AI model, and to obtain the arrival information of future uplink data.

[0252] And, based on the arrival information, determine whether to trigger a change of serving cell.

[0253] In some embodiments, serving cell changes include, but are not limited to, at least one of the following:

[0254] Conditional toggle CHO;

[0255] Mobility LTM handover triggered by the physical layer / data link layer.

[0256] In some embodiments, arrival information is used to indicate at least one of the following:

[0257] The data type of the upstream data;

[0258] The size of the upstream data;

[0259] Uplink data arrival time;

[0260] Predict the confidence level of the arriving information.

[0261] In some embodiments, the data type is used to indicate at least one of the following:

[0262] The channel for transmitting uplink data;

[0263] Logical channel group for transmitting uplink data;

[0264] Service quality requirements for uplink data;

[0265] Quality of Service (QoS) flow of uplink data.

[0266] In some embodiments, service quality requirements are used to indicate at least one of the following:

[0267] Sending delay;

[0268] Sending rate;

[0269] Sending priority;

[0270] Error rate;

[0271] The types of resources required for upstream data.

[0272] In some embodiments, it is determined that a serving cell change will not be triggered if at least one of the following conditions is met:

[0273] The uplink data meets the first requirement;

[0274] The arrival time of the uplink data meets the second requirement, which is that the arrival time of the uplink data is within the first time window.

[0275] In some embodiments, the first requirement is used to indicate at least one of the following:

[0276] The type of the upstream data is the first preset type;

[0277] Uplink data has a higher priority than the first preset priority;

[0278] The service quality requirement for uplink data is the first preset service quality requirement;

[0279] The uplink data transmission delay must be less than the set duration.

[0280] In some embodiments, priority is used to indicate at least one of the following:

[0281] Service quality priority;

[0282] Logical channel priority.

[0283] In some embodiments, the first time window includes the handover interruption time window when the terminal device is switching cells, and the handover interruption time window is the time window from the start of the handover time to the successful access to the target cell by the terminal device.

[0284] The first time window is determined based on at least one of the following:

[0285] First absolute time and first duration;

[0286] The first duration and the first time window are the sum of the predicted time and the first duration.

[0287] In some embodiments, the first preset type, first preset priority, first preset service quality requirement, or any one of the first time window corresponding to different target serving cells are different.

[0288] In some embodiments, the information processing device 4100 further includes:

[0289] The sending module 4102 is used to send first indication information to the network device if it is determined that no change of serving cell will be triggered;

[0290] The first indication information is used to indicate the delay in changing the serving cell.

[0291] In some embodiments, the first indication information is also used to indicate at least one of the following:

[0292] Arrival information;

[0293] The service cell identification information has been changed due to the delay.

[0294] In some embodiments, the input to the AI ​​model includes at least one of the following:

[0295] The historical arrival time of uplink data on the terminal device;

[0296] Historical row data type information.

[0297] Optionally, the processing module 4101 described above is used to execute other processing steps performed by the terminal device in any of the above methods, which will not be elaborated here. In some embodiments, the processing module may be a single module or may include multiple sub-modules. Optionally, the multiple sub-modules respectively execute all or part of the steps required by the processing module (e.g., steps S2101, S2102, S3101, and S3102, but not limited thereto). Optionally, the processing module may be interchangeable with the processor.

[0298] Optionally, the transceiver module 4102 described above is used to perform at least one of the communication steps (e.g., step S2103, but not limited thereto) performed by the terminal device in any of the above methods, which will not be elaborated further here. In some embodiments, the transceiver module may include a sending module and / or a receiving module, which may be separate or integrated together. Optionally, the transceiver module may be interchangeable with a transceiver.

[0299] Figure 4b is a second exemplary structural schematic diagram of an information processing apparatus provided according to an embodiment of the present disclosure. As shown in Figure 4b, the information processing apparatus 4200 may include:

[0300] The transceiver module 4201 is used to receive the first indication information sent by the terminal device;

[0301] The first indication information is used to indicate the delay of serving cell change. The first indication information is sent when it is determined that serving cell change will not be triggered. Whether serving cell change is triggered is determined based on the arrival information of uplink data. The arrival information is obtained by predicting uplink data that will arrive in the future based on an AI model.

[0302] In some embodiments, serving cell changes include at least one of the following:

[0303] Conditional toggle CHO;

[0304] Mobility LTM handover triggered by the physical layer / data link layer.

[0305] In some embodiments, arrival information is used to indicate at least one of the following:

[0306] The data type of the upstream data;

[0307] The size of the upstream data;

[0308] Uplink data arrival time;

[0309] Predict the confidence level of the arriving information.

[0310] In some embodiments, the data type is used to indicate at least one of the following:

[0311] The logical channel through which uplink data arrives;

[0312] The logical channel group where uplink data arrives;

[0313] Service quality requirements for uplink data;

[0314] Quality of Service (QoS) flow of uplink data.

[0315] In some embodiments, service quality requirements are used to indicate at least one of the following:

[0316] Sending delay;

[0317] Sending rate;

[0318] Sending priority;

[0319] Error rate;

[0320] The types of resources required for upstream data.

[0321] In some embodiments, it is determined that a serving cell change will not be triggered if at least one of the following conditions is met:

[0322] The uplink data meets the first requirement;

[0323] The arrival time of the uplink data meets the second requirement, which is that the arrival time of the uplink data is within the first time window.

[0324] In some embodiments, the first requirement is used to indicate at least one of the following:

[0325] The type of the upstream data is the first preset type;

[0326] Uplink data has a higher priority than the first preset priority;

[0327] The service quality requirement for uplink data is the first preset service quality requirement;

[0328] The uplink data transmission delay must be less than the set duration.

[0329] In some embodiments, the priority of uplink data is used to indicate at least one of the following:

[0330] Service quality priority;

[0331] Logical channel priority.

[0332] In some embodiments, the first time window includes the handover interruption time window when the terminal device is switching cells, and the handover interruption time window is the time window from the start of the handover time to the successful access to the target cell by the terminal device.

[0333] The first time window is determined based on at least one of the following:

[0334] First absolute time and first duration;

[0335] The first duration and the first time window are the sum of the predicted time and the first duration.

[0336] In some embodiments, the first preset type, first preset priority, first preset service quality requirements, or any one of the first time window may be different for different target serving cells.

[0337] In some embodiments, the first indication information is also used to indicate at least one of the following:

[0338] Arrival information;

[0339] The service cell identification information has been changed due to the delay.

[0340] In some embodiments, the input to the AI ​​model includes at least one of the following:

[0341] The historical arrival time of uplink data on the terminal device;

[0342] Historical row data type information.

[0343] Optionally, the transceiver module 4201 described above is used to perform at least one of the communication steps (e.g., step S2103, but not limited thereto) performed by the network device in any of the above methods, which will not be elaborated further here. In some embodiments, the transceiver module may include a sending module and / or a receiving module, which may be separate or integrated together. Optionally, the transceiver module may be interchangeable with a transceiver.

[0344] Optionally, the information processing apparatus 4200 may further include the aforementioned processing module for executing other processing steps performed by the network device in any of the above methods, which will not be elaborated here. In some embodiments, the processing module may be a single module or may include multiple sub-modules. Optionally, the multiple sub-modules may each execute all or part of the steps required by the processing module. Optionally, the processing module may be interchangeable with a processor.

[0345] Figure 5a is an exemplary structural diagram of a communication device provided according to an embodiment of the present disclosure. The communication device can be any of a terminal device or a network device, or it can be a chip, chip system, or processor, etc., that supports the terminal device or network device in implementing any of the above methods. It can be used to implement the methods described in the above method embodiments, and for details, please refer to the description in the above method embodiments.

[0346] As shown in Figure 5a, the communication device 5100 includes one or more processors 5101. The processor 5101 can be a general-purpose processor or a special-purpose processor, such as a baseband processor or a central processing unit. The communication device 5100 is used to execute any of the above methods.

[0347] In some embodiments, the communication device 5100 further includes one or more memories 5102 for storing instructions. Optionally, all or part of the memories 5102 may also be located outside the communication device 5100.

[0348] In some embodiments, the communication device 5100 further includes one or more transceivers 5103. When the communication device 5100 includes one or more transceivers 5103, the transceivers 5103 perform at least one of the communication steps such as sending and / or receiving in the above method (e.g., step S2103, but not limited thereto). The processor 5101 performs other steps in the above method (e.g., steps S2101, S2102, S3101, S3102, but not limited thereto).

[0349] In some embodiments, transceiver 5103 may include a receiver and / or a transmitter, which may be separate or integrated together. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, etc., can be used interchangeably; the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc., can be used interchangeably; and the terms receiver, receiving unit, receiver, receiving circuit, etc., can be used interchangeably.

[0350] In some embodiments, the communication device 5100 may include one or more interface circuits 5104. Optionally, the interface circuit 5104 is connected to the memory 5102, and the interface circuit 5104 can be used to receive signals from the memory 5102 or other devices, and can be used to send signals to the memory 5102 or other devices. For example, the interface circuit 5104 can read instructions stored in the memory 5102 and send the instructions to the processor 5101.

[0351] The communication device 5100 described in the above embodiments can be any of the terminal devices or network devices, but the scope of the communication device 5100 described in this disclosure is not limited thereto, and the structure of the communication device 5100 may not be limited by FIG. 5a. The communication device can be an independent device or part of a larger device. For example, the communication device can be at least one of the following: (1) an independent integrated circuit IC, or chip, chip system or subsystem; (2) a collection of one or more ICs, optionally, the IC collection may also include storage components for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, terminal device, access network device or core network device, cellular phone, wireless device, handheld device, mobile unit, vehicle device, cloud device, artificial intelligence device, etc.; (6) others, etc.

[0352] Figure 5b is an exemplary structural diagram of a chip provided according to an embodiment of the present disclosure. For cases where the communication device can be a chip or a chip system, please refer to the structural diagram of chip 5200 shown in Figure 5b, but it is not limited thereto.

[0353] Chip 5200 includes one or more processors 5201, which are used to perform any of the above methods.

[0354] In some embodiments, chip 5200 further includes one or more interface circuits 5202. Optionally, the interface circuit 5202 is connected to memory 5203, and the interface circuit 5202 can be used to receive signals from memory 5203 or other devices, and the interface circuit 5202 can be used to send signals to memory 5203 or other devices. For example, the interface circuit 5202 can read instructions stored in memory 5203 and send the instructions to processor 5201.

[0355] In some embodiments, the interface circuit 5202 performs at least one of the communication steps such as sending and / or receiving in the above method (e.g., step S2103, but not limited thereto). The processor 5201 performs other steps.

[0356] In some embodiments, the terms interface circuit, interface, transceiver pin, transceiver, etc., can be used interchangeably.

[0357] In some embodiments, chip 5200 further includes one or more memories 5203 for storing instructions. Optionally, all or part of the memories 5203 may be located outside of chip 5200.

[0358] The modules and / or devices described in the various embodiments, such as virtual devices, physical devices, and chips, can be combined or separated arbitrarily as needed. Optionally, some or all steps can also be performed collaboratively by multiple modules and / or devices, which is not limited here.

[0359] This disclosure also proposes a storage medium storing instructions that, when executed on a communication device 5100, cause the communication device 5100 to perform any of the methods described above. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but not limited thereto; it may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but not limited thereto; it may also be a temporary storage medium.

[0360] This disclosure also proposes a program product, including a program and / or instructions, which, when executed by the communication device 5100, cause the communication device 5100 to perform any of the above methods. Optionally, the above program product is a computer program product.

[0361] This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

[0362] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this disclosure.

[0363] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0364] The above are merely specific embodiments of this disclosure, but the scope of protection of this disclosure is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this disclosure should be included within the scope of protection of this disclosure. Therefore, the scope of protection of this disclosure should be determined by the scope of the claims.

Claims

1. An information processing method, characterized in that, The method is executed by a terminal device, and the method includes: The arrival information of uplink data in the future is predicted based on the artificial intelligence (AI) model. Based on the arrival information, determine whether to trigger a serving cell change.

2. The method according to claim 1, characterized in that, The service cell change includes at least one of the following: Conditional toggle CHO; Mobility LTM handover triggered by the physical layer / data link layer.

3. The method according to claim 1 or 2, characterized in that, The arrival information is used to indicate at least one of the following: The data type of the upstream data; The size of the upstream data; The arrival time of the uplink data; Predict the confidence level of the arrival information.

4. The method according to claim 3, characterized in that, The data type is used to indicate at least one of the following: The channel through which the uplink data is transmitted; The logical channel group that transmits the uplink data; The quality of service requirements for the uplink data; The quality of service stream of the uplink data.

5. The method according to claim 4, characterized in that, The service quality requirements are used to indicate at least one of the following: Sending delay; Sending rate; Sending priority; Error rate; The resource type required to send the uplink data.

6. The method according to any one of claims 1-5, characterized in that, A serving cell change will not be triggered if at least one of the following conditions is met: The uplink data meets the first requirement; The arrival time of the uplink data meets the second requirement, which is that the arrival time of the uplink data is within the first time window.

7. The method according to claim 6, characterized in that, The first requirement is used to indicate at least one of the following: The type of the uplink data is a first preset type; The priority of the uplink data is higher than the first preset priority; The quality of service requirement for the uplink data is the first preset quality of service requirement; The uplink data transmission delay must be less than the set duration.

8. The method according to claim 7, characterized in that, The priority is used to indicate at least one of the following: Service quality priority; Logical channel priority.

9. The method according to any one of claims 6-8, characterized in that, The first time window includes the handover interruption time window when the terminal device is switching cells, and the handover interruption time window is the time window from the start of the handover to the successful access to the target cell by the terminal device; The first time window is determined based on at least one of the following: First absolute time and first duration; The first duration is the sum of the predicted time and the first duration.

10. The method according to claim 9, characterized in that, Different target service cells have different first preset types, first preset priorities, first preset service quality requirements, or any of the first time windows.

11. The method according to any one of claims 1-10, characterized in that, Also includes: If it is determined that a change in serving cell will not be triggered, a first indication message is sent to the network device; The first indication information is used to indicate the delay in changing the serving cell.

12. The method according to claim 11, characterized in that, The first indication information is also used to indicate at least one of the following: The arrival information; The service cell identification information has been changed due to the delay.

13. The method according to any one of claims 1-12, characterized in that, The input to the AI ​​model includes at least one of the following: The historical arrival time of the terminal device's uplink data; The type information of the historical row data.

14. An information processing method, characterized in that, The method is performed by a network device, and the method includes: Receive the first instruction information sent by the terminal device; The first indication information is used to indicate the delay of serving cell change. The first indication information is sent when it is determined that serving cell change will not be triggered. Whether to trigger serving cell change is determined based on the arrival information of uplink data that will arrive in the future. The arrival information is obtained by predicting uplink data that will arrive in the future based on an AI model.

15. The method according to claim 14, characterized in that, The service cell change includes at least one of the following: Conditional toggle CHO; Mobility LTM handover triggered by the physical layer / data link layer.

16. The method according to claim 14 or 15, characterized in that, The arrival information is used to indicate at least one of the following: The data type of the upstream data; The size of the upstream data; The arrival time of the uplink data; Predict the confidence level of the arrival information.

17. The method according to claim 16, characterized in that, The data type is used to indicate at least one of the following: The logical channel to which the uplink data arrives; The logical channel group to which the uplink data arrives; The quality of service requirements for the uplink data; The quality of service stream of the uplink data.

18. The method according to claim 17, characterized in that, The service quality requirements are used to indicate at least one of the following: Sending delay; Sending rate; Sending priority; Error rate; The resource type required to send the uplink data.

19. The method according to any one of claims 14-18, characterized in that, A serving cell change will not be triggered if at least one of the following conditions is met: The uplink data meets the first requirement; The arrival time of the uplink data meets the second requirement, which is that the arrival time of the uplink data is within the first time window.

20. The method according to claim 19, characterized in that, The first requirement is used to indicate at least one of the following: The type of the uplink data is a first preset type; The priority of the uplink data is higher than the first preset priority; The quality of service requirement for the uplink data is the first preset quality of service requirement; The uplink data transmission delay is required to be less than the set duration.

21. The method according to claim 20, characterized in that, The priority of the uplink data is used to indicate at least one of the following: Service quality priority; Logical channel priority.

22. The method according to any one of claims 19-21, characterized in that, The first time window includes the handover interruption time window when the terminal device is switching cells, and the handover interruption time window is the time window from the start of the handover to the successful access to the target cell by the terminal device; The first time window is determined based on at least one of the following: First absolute time and first duration; The first duration is the sum of the predicted time and the first duration.

23. The method according to any one of claims 19-22, characterized in that, Different target service cells have different first preset types, first preset priorities, first preset service quality requirements, or any of the first time windows.

24. The method according to any one of claims 14-23, characterized in that, The first indication information is also used to indicate at least one of the following: The arrival information; The service cell identification information has been changed due to the delay.

25. The method according to any one of claims 14-24, characterized in that, The input to the AI ​​model includes at least one of the following: The historical arrival time of the terminal device's uplink data; The type information of the historical row data.

26. An information processing device, characterized in that, include: The processing module is used to predict the arrival information of future uplink data based on an AI model, and to obtain the arrival information of future uplink data. And, based on the arrival information, determine whether to trigger a serving cell change.

27. An information processing device, characterized in that, include: The transceiver module is used to receive the first indication information sent by the terminal device; The first indication information is used to indicate the delay of serving cell change. The first indication information is sent when it is determined that serving cell change will not be triggered. Whether serving cell change is triggered is determined based on the arrival information of uplink data. The arrival information is obtained by predicting uplink data that will arrive in the future based on an AI model.

28. A terminal device, characterized in that, include: One or more processors; The terminal device is used to execute the information processing method according to any one of claims 1-13.

29. A network device, characterized in that, include: One or more processors; The network device is used to execute the information processing method according to any one of claims 14-25.

30. An information processing system, characterized in that, include: Terminal equipment and network equipment; The terminal device is configured to implement the information processing method according to any one of claims 1-13; The network device is configured to implement the information processing method according to any one of claims 14-25.

31. A storage medium storing instructions, characterized in that, When the instruction is executed on the communication device, the communication device performs the information processing method as described in any one of claims 1-13 or 14-25.

32. A program product comprising a program and / or instructions, characterized in that, When the program and / or instructions are executed by the communication device, they implement the information processing method as described in any one of claims 1-13 or 14-25.

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