Data acquisition method and device, equipment and storage medium

Abstract

The invention relates to a data acquisition method and device, equipment and a storage medium. The data acquisition method comprises the following steps: receiving first information sent by network equipment; and when the terminal device is in the disconnected state, collecting a data sample for model training based on the first information. The purpose of saving the power of the terminal equipment can be achieved.

Description

Data collection method, device, equipment, and storage medium Technical Field

[0001] The present disclosure relates to the field of data processing technology, and in particular to a data acquisition method and apparatus, equipment, and storage medium. Background Art

[0002] Artificial intelligence (AI) technology is making breakthroughs in multiple fields, driving the development of various industries and disciplines. AI models require training before use, and sample data for AI model training must be collected while the terminal is connected. Prolonged terminal connection generates redundant power consumption, resulting in high power consumption.

[0003] Summary of the Invention

[0004] The embodiments of the present disclosure provide a data collection method, apparatus, device, and storage medium.

[0005] According to a first aspect of an embodiment of the present disclosure, a data collection method is proposed, comprising:

[0006] receiving first information sent by a network device;

[0007] The terminal device is in a non-connected state and collects data samples based on the first information.

[0008] According to a second aspect of the embodiments of the present disclosure, a data collection method is proposed, including:

[0009] Sending first information to a terminal device, where the first information is used to collect data samples when the terminal device is in a disconnected state.

[0010] According to a third aspect of an embodiment of the present disclosure, a first communication device is provided, including:

[0011] A first processing module, configured to receive first information sent by a network device;

[0012] The second processing module is used to collect data samples based on the first information when the terminal device is in a disconnected state.

[0013] According to a fourth aspect of an embodiment of the present disclosure, a second communication device is provided, including:

[0014] The sending module is used to send first information to the terminal device, where the first information is used to collect data samples when the terminal device is in a disconnected state.

[0015] According to a fifth aspect of an embodiment of the present disclosure, a communication device is provided, including:

[0016] one or more processors;

[0017] The processor is used to call instructions so that the communication device executes the data collection method described in any one of the first aspect and the second aspect.

[0018] According to a sixth aspect of an embodiment of the present disclosure, a storage medium is proposed, which stores instructions. When the instructions are executed on a communication device, the communication device executes the data collection method as described in any one of the first and second aspects. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following drawings required for describing the embodiments are introduced. The following drawings are merely some embodiments of the present disclosure and do not impose specific limitations on the protection scope of the present disclosure.

[0020] FIG1 is an exemplary schematic diagram of the architecture of a communication system provided according to an embodiment of the present disclosure;

[0021] FIG2 is an exemplary interactive diagram of a data collection method according to an embodiment of the present disclosure;

[0022] FIG3A is a schematic diagram of an exemplary flow chart of a data acquisition method according to an embodiment of the present disclosure;

[0023] FIG3B is a schematic diagram of an exemplary flow chart of a data collection method according to an embodiment of the present disclosure;

[0024] FIG3C is a schematic diagram of an exemplary flow chart of a data collection method according to an embodiment of the present disclosure;

[0025] FIG3D is a schematic diagram of an exemplary flow chart of a data collection method according to an embodiment of the present disclosure;

[0026] FIG3E is a schematic diagram of an exemplary flow chart of a data collection method according to an embodiment of the present disclosure;

[0027] FIG4A is a schematic diagram of an exemplary flow chart of a data acquisition method according to an embodiment of the present disclosure;

[0028] FIG4B is a schematic diagram of an exemplary flow chart of a data collection method according to an embodiment of the present disclosure;

[0029] FIG4C is a schematic diagram of an exemplary flow chart of a data collection method according to an embodiment of the present disclosure;

[0030] FIG5 is a schematic diagram of an exemplary flow chart of a data acquisition method according to an embodiment of the present disclosure;

[0031] FIG6A is a schematic diagram of an exemplary structure of a first communication device provided according to an embodiment of the present disclosure;

[0032] FIG6B is a schematic diagram of an exemplary structure of a second communication device provided according to an embodiment of the present disclosure;

[0033] FIG7A is a schematic diagram of an exemplary structure of a communication device provided according to an embodiment of the present disclosure;

[0034] FIG7B is a schematic structural diagram of a chip provided according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0035] The embodiments of the present disclosure provide a data collection method, apparatus, device, and storage medium.

[0036] In a first aspect, an embodiment of the present disclosure provides a data collection method, the method comprising:

[0037] receiving first information sent by a network device;

[0038] The terminal device is in a non-connected state and collects data samples based on the first information.

[0039] In the above embodiment, the terminal device is configured to collect and report data samples for model training in a non-connected state through the first information. If the terminal device can disconnect when it has no other tasks to perform, the terminal device can still collect data samples for model training in a non-connected state, thereby achieving the purpose of power saving of the terminal device.

[0040] In conjunction with some embodiments of the first aspect, in some embodiments, the first information includes at least one of the following:

[0041] Configuration information of measurement reference signals;

[0042] format information of the data sample;

[0043] Reporting configuration information of the data sample.

[0044] In the above embodiment, the configuration information of the measurement reference signal, the format information of the data sample and the reporting configuration information of the data sample are used as the first information, and the first information is obtained more comprehensively.

[0045] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0046] Sending second information to the network device, wherein the second information is used to obtain the data collection capability of the terminal device.

[0047] In the above embodiment, before receiving the first information, the second information is sent to the network device to obtain the data collection capability, so that the terminal device has the data collection capability to facilitate subsequent data acquisition.

[0048] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0049] receiving third information sent by the network device, wherein the third information is used to request the terminal device to obtain the data collection capability;

[0050] The second information is sent to the network device.

[0051] In the above embodiment, the data acquisition capability is acquired by receiving the third information request from the network device, and then the second information STD is sent to the network device based on the third information, so that the data acquisition process is more complete and rigorous.

[0052] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0053] receiving fourth information sent by the network device, where the fourth information is used to request collection of the data sample;

[0054] Sending fifth information to the network device, where the fifth information is used to instruct the terminal device to confirm the collection of the data sample.

[0055] In the above embodiment, the fourth information is received by the terminal device, and the fifth information is sent to the network device, instructing the terminal device to confirm the collection of data samples to obtain the data collection capability of the terminal device. When it is confirmed that the terminal device can collect data, the first information is sent to the terminal device, and the data collection is more reliable.

[0056] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0057] The first information is received when the terminal device is in a connected state.

[0058] In the above embodiment, the terminal device can receive the first information in a connected state to avoid information loss.

[0059] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0060] Sending sixth information to the network device, where the sixth information is used to request entering a disconnected state;

[0061] Receive the first information sent by the network device.

[0062] In the above embodiment, the terminal device sends the sixth information request to the network device to enter the non-connected state and receive the first information, so that the terminal device can also receive the first information in the non-connected state, reducing power consumption.

[0063] In combination with some embodiments of the first aspect, in some embodiments, the configuration information is used to indicate configuration information for the terminal device to collect data when the terminal device is in a non-connected state.

[0064] In the above embodiment, the configuration information is used to instruct the terminal device to collect data when in a non-connected state, so as to ensure that the terminal device can also collect data when in a non-connected state, thereby reducing the power consumption of the terminal device when it is always in a connected state.

[0065] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0066] The data sample is sent to the network device.

[0067] In the above embodiment, after the terminal device obtains the data sample, it can also send the data sample to the network device so as to use the data sample for model training and learning.

[0068] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0069] Report the data samples collected at multiple time points to the network device.

[0070] In the above embodiment, the terminal device can report data samples collected at multiple time points to the network device, so that the reported data samples are more comprehensive and the model training effect using the data samples is better.

[0071] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0072] The data samples are collected periodically, and / or the data samples are reported periodically, wherein a reporting period of the data samples is greater than or equal to a collection period of the data samples.

[0073] In the above embodiment, the reporting period of the data samples is set to be greater than or equal to the collection period of the data samples, so as to avoid repeated reporting of the data samples and reduce the generation of redundant power consumption.

[0074] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0075] The data sample is sent to the network device through a configured uplink small data transmission UL SDT mode.

[0076] In the above embodiment, data samples can be sent in a UL SDT mode by configuring the data sample to be sent in a non-connected state, thereby achieving the purpose of reducing the power consumption of the terminal device in a connected state.

[0077] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0078] Receive seventh information sent by the network device, where the seventh information is used to configure the UL SDT.

[0079] In the above embodiment, UL SDT is configured by receiving the seventh information sent by the network device, thereby ensuring that the configured UL SDT mode is more suitable for the terminal device and the sending effect of the data sample is better.

[0080] In conjunction with some embodiments of the first aspect, in some embodiments, the seventh information includes at least one of the following:

[0081] The reporting period, reporting resources and data transmission format of the data samples.

[0082] In the above embodiment, by limiting the seventh information, it is ensured that the seventh information includes the reporting period, reporting resources and data transmission format, and the configuration of the UL SDT mode is more comprehensive, ensuring the sending effect of the data sample.

[0083] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0084] Determine that the data sample meets the set conditions, initiate a random access process to enter a connected state, and send the data sample to the network device.

[0085] In the above embodiment, when it is determined that the data sample meets the set conditions, random access is initiated to enter the connected state to send the data sample, thereby avoiding the situation where the terminal device is always in the connected state and reducing power consumption.

[0086] In a second aspect, an embodiment of the present disclosure provides a data collection method, the method comprising:

[0087] Sending first information to a terminal device, where the first information is used to collect data samples when the terminal device is in a disconnected state.

[0088] In conjunction with some embodiments of the second aspect, in some embodiments, the first information includes at least one of the following:

[0089] Configuration information of measurement reference signals;

[0090] format information of the data sample;

[0091] The reporting configuration information used for data samples.

[0092] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0093] Receive second information sent by the terminal device, wherein the second information is used to indicate the data collection capability of the terminal device.

[0094] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0095] sending third information to the terminal device, wherein the third information is used to obtain the data collection capability of the terminal device;

[0096] Receive the second information sent by the terminal device.

[0097] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0098] Sending fourth information to the terminal device, where the fourth information is used to request collection of the data sample;

[0099] Receive fifth information sent by the terminal device, where the fifth information is used to instruct the terminal device to confirm data collection.

[0100] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0101] The first information is sent to the terminal device in a connected state.

[0102] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0103] receiving sixth information sent by the terminal device, where the sixth information is used to request entering a disconnected state;

[0104] Send the first information to the terminal device.

[0105] In combination with some embodiments of the second aspect, in some embodiments, the configuration information is used to indicate configuration information for the terminal device to collect data when the terminal device is in a non-connected state.

[0106] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0107] Receive the data sample reported by the terminal device.

[0108] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0109] Report the data samples collected at multiple time points to the network device.

[0110] In combination with some embodiments of the second aspect, in some embodiments, the reporting period of the data samples is greater than or equal to the collection period of the data samples.

[0111] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0112] The data sample is sent to the network device through the configured uplink small data transmission UL SDT.

[0113] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0114] Send seventh information to the terminal device, where the seventh information is used to configure the UL SDT.

[0115] In conjunction with some embodiments of the second aspect, in some embodiments, the seventh information includes at least one of the following:

[0116] The reporting period, reporting resources and data transmission format of the data samples.

[0117] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0118] Receiving a random access process initiated by the terminal device;

[0119] The data sample is received when the terminal device sends the data in a connected state.

[0120] In a third aspect, an embodiment of the present disclosure provides a first communication device, including:

[0121] A first processing module, configured to receive first information sent by a network device;

[0122] The second processing module is used to collect data samples based on the first information when the terminal device is in a disconnected state.

[0123] In a fourth aspect, an embodiment of the present disclosure provides a second communication device, including:

[0124] The sending module is used to send first information to the terminal device, where the first information is used to collect data samples when the terminal device is in a disconnected state.

[0125] In a fifth aspect, an embodiment of the present disclosure proposes a communication device, which includes: one or more processors; one or more memories for storing instructions; wherein the processor is used to call the instructions so that the communication device executes the data collection method described in the first and second aspects, and the optional implementation of the second and second aspects.

[0126] In the sixth aspect, the present disclosure implements a proposed storage medium, which stores instructions. When the instructions are executed on a communication device, the communication device executes the method described in the first aspect, the optional implementation of the first aspect, the second aspect, and the optional implementation of the second aspect.

[0127] In a seventh aspect, an embodiment of the present disclosure proposes a program product. When the program product is executed by a communication device, the communication device executes the method described in the first aspect, the optional implementation of the first aspect, the second aspect, and the optional implementation of the second aspect.

[0128] In an eighth aspect, an embodiment of the present disclosure proposes a computer program, which, when executed on a computer, enables the computer to execute the methods described in the first and second aspects, and the optional implementations of the first and second aspects.

[0129] It is understandable that the first communication device, the second communication device, the communication equipment, the storage medium, the program product, and the computer program are all used to perform the method proposed in the embodiment of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects of the corresponding method and will not be repeated here.

[0130] The present disclosure provides data acquisition methods, devices, equipment, and storage media. In some embodiments, the terms data acquisition method, information processing method, and communication method are interchangeable; the terms communication device, information processing device, and communication device are interchangeable; and the terms information processing system and communication system are interchangeable.

[0131] The embodiments of the present disclosure are not exhaustive and are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain 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 certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0132] In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and / or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.

[0133] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

[0134] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "above", "said", "the", "the", etc., may mean "one and only one", or "one or more", "at least one", etc. For example, when using articles such as "a", "an", "the" in English in translation, the noun following the article may be understood as a singular expression or a plural expression.

[0135] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0136] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0137] In some embodiments, descriptions such as "at least one of A and B," "A and / or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); and in some embodiments, A and B (both A and B are executed). The above is also applicable when there are more branches such as A, B, and C.

[0138] In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The above is also applicable when there are more branches such as A, B, C, etc.

[0139] The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects and do not constitute any restriction on the position, order, priority, quantity or content of the description objects. For the statement of the description object, please refer to the description in the context of the claims or embodiments, and no unnecessary restriction should be constituted due to the use of prefixes. For example, if the description object is a "field", the ordinal number before the "field" in the "first field" and the "second field" does not limit the position or order between the "fields". "First" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of the "first field" and the "second field". For another example, if the description object is a "level", the ordinal number before the "level" in the "first level" and the "second level" does not limit the priority between the "levels". For another example, the number of description objects is not limited by the ordinal number and can be one or more. Taking "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes can be the same or different. For example, if the description object is "device", then the "first device" and the "second device" can be the same device or different devices, and their types can be the same or different; for another example, if the description object is "information", then the "first information" and the "second information" can be the same information or different information, and their contents can be the same or different.

[0140] In some embodiments, “including A,” “comprising A,” “used to indicate A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0141] In some embodiments, terms such as "in response to...", "in response to determining...", "in the case of...", "at the time of...", "when...", "if...", "if...", etc. can be used interchangeably.

[0142] In some embodiments, terms such as "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 less than", and "above" can be replaced with each other, and terms such as "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" can be replaced with each other.

[0143] In some embodiments, devices and equipment can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they can also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject", etc.

[0144] In some embodiments, "network" can be interpreted as devices included in the network, such as access network equipment, core network equipment, etc.

[0145] In some embodiments, "access network device (AN device)" may also be referred to as "radio access network device (RAN device)", "base station (BS)", "radio base station", "fixed station", and in some embodiments may also be understood as "node", "access point", "transmission point (TP)", "reception point (RP)", "transmission and / or reception point (TRP)" "panel", "antenna panel", "antenna array", "cell", "macro cell", "small cell", "femto cell", "pico cell", "sector", "cell group", "serving cell", "carrier", "component carrier", "bandwidth part (BWP)", etc.

[0146] In some embodiments, "terminal" or "terminal device" may be referred to as "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, client, etc.

[0147] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0148] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0149] In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.

[0150] FIG1 is a schematic diagram illustrating the architecture of a communication system according to an embodiment of the present disclosure. As shown in FIG1 , a communication system 100 includes a terminal 101 and a core network device 103 .

[0151] In some embodiments, the terminal 101 includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited thereto.

[0152] In some embodiments, the network device 102 may include at least one of an access network device and a core network device.

[0153] In some embodiments, the access network device 102 is, for example, a node or device that accesses a terminal to a wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a Wi-Fi system, but is not limited thereto.

[0154] In some embodiments, the technical solution of the present disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can be transformed into internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0155] In some embodiments, the access network device can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit. The CU-DU structure can be used to split the protocol layer of the access network device, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

[0156] In some embodiments, a core network device may be a device including one or more network elements, or may be multiple devices or device groups, each including all or part of the one or more network elements. The network element may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).

[0157] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution proposed in the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution proposed in the embodiment of the present disclosure is also applicable to similar technical problems.

[0158] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1 , or a portion thereof, but are not limited thereto. The entities shown in FIG1 are illustrative only. The communication system may include all or part of the entities shown in FIG1 , or may include other entities outside of FIG1 . The number and form of the entities are arbitrary, and the entities may be physical or virtual. The connection relationships between the entities are illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0159] The embodiments of the present disclosure 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), 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 (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (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 utilizing other communication methods, and next-generation systems based on and extending these methods. Furthermore, multiple systems may be combined (for example, a combination of LTE or LTE-A with 5G).

[0160] In recent years, artificial intelligence (AI) technology has achieved continuous breakthroughs in multiple fields. The continued development of fields such as intelligent voice and computer vision has not only brought a rich variety of applications to smart terminals, but has also seen widespread adoption in education, transportation, home living, healthcare, retail, security, and other fields. This has not only brought convenience to people's lives but also promoted industrial upgrading across various industries. AI technology is also rapidly interpenetrating with other disciplines. Its development integrates knowledge from different disciplines while also providing new directions and methods for their development. The research focuses on how to introduce AI technology into wireless air interfaces and how AI technology can assist in improving wireless air interface transmission technologies. In wireless AI research, application cases of AI include AI-based CSI enhancement, AI-based beam management, and AI-based positioning.

[0161] In order to train the AI ​​model, a large amount of measurement data needs to be collected. This measurement data needs to be measured by the terminal device, processed and then transmitted to the network device for AI model training.

[0162] Figure 2 is an interactive diagram of a data collection method according to an embodiment of the present disclosure. As shown in Figure 2, an embodiment of the present disclosure relates to a data collection method, which includes:

[0163] Step S2101: The network device sends third information to the terminal device.

[0164] In some implementations, the third information can be used to request the terminal device to obtain data collection capabilities.

[0165] In some implementations, the third information may be used to instruct the terminal device to acquire data collection capabilities.

[0166] In some implementations, the third information may be used to instruct the terminal device to report its own data collection capability.

[0167] In some implementations, the third information may be data collection capability request information, or the third information may be data collection capability reporting information, or the third information may be data collection capability acquisition indication information.

[0168] In some implementations, the network device may send Radio Resource Control (RRC) signaling, which may include the third information. Optionally, the terminal may receive the above-mentioned RRC signaling to obtain the third information. In some implementations, the network device may send Downlink Control Information (DCI) signaling, which may include the third information. Optionally, the terminal may receive the above-mentioned DCI signaling to obtain the third information. Optionally, the signaling carrying the third information may include but is not limited to RRC signaling, DCI signaling, and may also include Media Access Control Control Element (MAC CE) signaling.

[0169] In some implementations, the data collection capabilities that the terminal device needs to obtain include but are not limited to: the configuration of the reference signal supported by the terminal device, the terminal device's processing capability of the collected data samples, the terminal device's storage capability of the data samples, the terminal device's reporting capability of the data samples, etc.

[0170] In some implementations, the third information may be used to indicate to the terminal device the data acquisition capabilities that need to be acquired. For example, it may indicate one or more of the configuration of reference signals supported by the terminal device, the terminal device's processing capability for data samples, storage capability, and reporting capability.

[0171] In some implementations, the configuration information of the measurement reference signals supported by the terminal device may include, but is not limited to, the transmission timing of the measurement reference signals, the frequency domain resources occupied when the reference signals are transmitted, etc. Optionally, the measurement reference signals supported by the terminal device may include, but are not limited to, the Channel State Information-Reference Signal (CSI-RS), the Synchronization Signal / PBCH Block (SSB), and the Positioning Reference Signal (PRS).

[0172] In some implementations, the terminal device's ability to process data samples may include, but is not limited to, whether it can decompose or perform calculations on the measured initial information to obtain information different from the initial measurement.

[0173] In some implementations, the storage capability of the terminal device for data samples may include, but is not limited to: the storage capacity, storage location, and storage conditions of the terminal device.

[0174] In some implementations, the terminal device's data sample reporting capability may include, but is not limited to: the reporting period of the data samples, the frequency resources occupied during reporting, the number of data samples included in each report, and the transmission format of the data samples.

[0175] In some implementations, the transmission format of the data sample includes, but is not limited to, the size of the data packet and the modulation and coding scheme used by the data packet. In some implementations, the network device may send the third information to the terminal device when the terminal device is in a connected state. Alternatively, the network device may send the third information to the terminal device periodically or periodically.

[0176] In some implementations, the network device may send the third information to the terminal device upon receiving the sixth information sent by the terminal device requesting to enter the non-connected state.

[0177] Step S2102: The terminal device obtains data collection capabilities.

[0178] In some implementations, the terminal device may obtain, based on the third information, the configuration of the reference signal supported by the terminal device, and the processing capability, storage capability, and reporting capability of the terminal device for data samples.

[0179] In some implementations, the terminal device may obtain, based on the third information, one or more of the configuration of the reference signal supported by the indicated terminal device, the processing capability, storage capability, and reporting capability of the terminal device for data samples.

[0180] Step S2103: The terminal device sends second information to the network device.

[0181] In some implementations, the second information is used to indicate the data collection capability of the terminal device to the network device.

[0182] In some implementations, the second information is used to report the data collection capability of the terminal device to the network device.

[0183] In some implementations, the second information may include, but is not limited to, one or more of the configuration of the reference signal supported by the terminal device, the processing capability, storage capability, and reporting capability of the terminal device for data samples.

[0184] In some implementations, the second information may be data collection capability indication information, or the second information may be data collection capability reporting information.

[0185] Step S2104: The network device sends first information to the terminal device.

[0186] In some implementations, the first information is used to collect data samples for model training when the terminal device is in a non-connected state.

[0187] In some implementations, the first information is used to report data samples for model training when the terminal device is in a non-connected state.

[0188] In some implementations, the first information may be configuration information for data collection when the terminal device is in a non-connected state. Based on the configuration information, the terminal device may collect data samples for model training in a non-connected state.

[0189] In some implementations, the first information may be data collection indication information when the terminal device is in a non-connected state, or the first information may be request information for reporting data samples when the terminal device is in a non-connected state.

[0190] In some implementations, the network device may send RRC signaling, which may include the first information. Optionally, the terminal device may receive the RRC signaling to obtain the first information. In some implementations, the network device may send DCI signaling, which may include the first information. Optionally, the terminal device may receive the DCI signaling to obtain the first information. Optionally, the signaling carrying the first information may include, but is not limited to, RRC signaling, DCI signaling, and MAC CE signaling.

[0191] In some implementations, the first information includes at least one of the following: configuration information of a measurement reference signal, format information of a data sample, reporting configuration information of a data sample, etc.

[0192] In some implementations, the configuration information of the measurement reference signal includes but is not limited to: a transmission period of the measurement reference signal, sequence parameters, frequency resources, etc. Optionally, the measurement reference signal may include but is not limited to: CSI-RS, SSB, and PRS, etc.

[0193] In some implementations, different types of AI models may correspond to different measurement reference signals. For example, in the training scenario of an AI model for CSI enhancement, the measurement reference signal may be CSI-RS; in the training scenario of an AI model for beam management, the measurement reference signal may be SSB; in the training scenario of an AI model for positioning, the measurement reference signal may be PRS.

[0194] In some implementations, different types of AI models correspond to different types of data samples. For example, for AI models used for positioning, the data samples that can be collected include but are not limited to channel impulse response, power distribution information, time distribution information, etc. For another example, for AI models used for beam management, the data samples that need to be collected include but are not limited to the signal quality parameters of the beam configured by the network or protocol. Optionally, the signal quality parameters of the configured beam may include Reference Signal Receiving Power (RSRP) information, Reference Signal Receiving Quality (RSRQ) information, Signal Interference Noise Ratio (SINR) information, etc. For another example, for AI models used for CSI enhancement, the data samples that can be collected include but are not limited to the full channel information measured by the terminal device, or the feature vector information decomposed based on the measured full channel information, etc.

[0195] In some implementations, the reporting configuration information of the data samples may include, but is not limited to: the reporting period of the data samples, the frequency resources occupied when reporting, the number of data samples included in each report, and the transmission format of the data samples.

[0196] In some implementations, the network device may send the first information to the terminal device based on a protocol agreement or upper layer configuration.

[0197] In some implementations, the network device may send the first information to the terminal device based on the data collection capability reported by the terminal device.

[0198] In some implementations, the network device may send the first information to the terminal device when the terminal device is in a connected state.

[0199] In some implementations, the network device may send the first information to the terminal device upon receiving a non-connection state request sent by the terminal device.

[0200] Step S2105: The network device sends fourth information to the terminal device.

[0201] In some implementations, the fourth information is used to request the terminal device to collect data samples for model training.

[0202] In some implementations, the fourth information is used to inquire whether the terminal device can collect data samples for model training.

[0203] In some implementations, the fourth information is used to instruct the terminal device to collect data samples for model training.

[0204] In some implementations, the fourth information may be request information for requesting data samples, or the fourth information may be query information for inquiring whether data samples can be collected from the terminal device, or the fourth information may be instruction information instructing the terminal device to collect data samples for model training.

[0205] In some implementations, the network device may send RRC signaling, which may include the first information. Optionally, the terminal may receive the RRC signaling to obtain the fourth information. In some implementations, the network device may send DCI signaling, which may include the first information. Optionally, the terminal may receive the DCI signaling to obtain the fourth information. Optionally, the signaling carrying the fourth information may include, but is not limited to, RRC signaling, DCI signaling, or MAC CE signaling.

[0206] Step S2106: The terminal device sends the fifth information to the network device.

[0207] In some implementations, the fifth information is used to instruct the terminal device to confirm data collection.

[0208] In some implementations, the fifth information may be confirmation information sent by the terminal device to confirm data collection.

[0209] In some implementations, the terminal device may confirm the acquisition of data collection and, upon determining that data collection is possible, obtain the data collection capabilities of the terminal device. Alternatively, the terminal device may confirm with the user via an interactive interface. Alternatively, the terminal device may determine whether data collection is possible based on a protocol agreement or network indication. Upon confirming that data collection is possible, the terminal device may send fifth information to the network device. Alternatively, the network device may receive the fifth information and, if it determines that the terminal device is capable of data collection, send the first information to the terminal device.

[0210] Step S2107: The terminal device is in a non-connected state and collects data samples based on the first information.

[0211] In some implementations, the collected data samples are used for model training. Optionally, the model can be an artificial intelligence (AI) model or a machine learning (ML) model.

[0212] In some implementations, the terminal device being in a non-connected state may include but is not limited to: the terminal device being in an RRC inactive state, the terminal device being in an RRC idle state, etc.

[0213] In some implementations, the terminal device is in a non-connected state and can collect data samples for model training based on the first information.

[0214] In some implementations, the terminal device may determine a measurement reference signal and configuration information of the measurement reference signal based on the first information. Optionally, different types of AI models may correspond to different measurement reference signals. For example, in the training scenario of an AI model for CSI enhancement, the measurement reference signal may be a CSI-RS; in the training scenario of an AI model for beam management, the measurement reference signal may be an SSB; in the training scenario of an AI model for positioning, the measurement reference signal may be a PRS.

[0215] In some implementations, the terminal device may determine the different types of data samples that need to be collected to match the AI ​​model based on the first information. Optionally, different AI models correspond to different types of data samples. For example, for the AI ​​model used for positioning, the data samples that can be collected include but are not limited to channel impulse response, power distribution information, time distribution information, etc. For another example, for the AI ​​model used for beam management, the data samples that can be collected include but are not limited to the signal quality parameters of the beam configured by the network or protocol. Optionally, the signal quality parameters of the configured beam may include RSRP information, RSRQ information, SINR information, etc. For another example, for the AI ​​model used for CSI enhancement, the data samples that can be collected include but are not limited to the full channel information measured by the terminal device, or the feature vector information decomposed based on the measured full channel information.

[0216] Step S2108: Send data samples to the network device through the configured uplink small data transmission UL SDT.

[0217] After obtaining the data samples for model training, the terminal device reports the data samples to the network device.

[0218] In some implementations, the terminal device may send data samples to the terminal device via a configured uplink small data transmission (UL SDT).

[0219] In some implementations, UL SDT is a method in which a terminal device can transmit data with a network device without performing random access to enter a connected state.

[0220] In some implementations, UL SDT may be pre-configured by a network device, or may be based on a protocol agreement. Optionally, UL SDT configuration information may include, but is not limited to, the period for reporting data samples by the terminal device, the occupied frequency resources, the transmission format of the data samples, etc.

[0221] In some implementations, the terminal device may report the data sample to the network device based on the reporting configuration information of the data sample in the first information. Optionally, the reporting configuration information may include, but is not limited to, the reporting period of the data sample, the frequency domain resources occupied by the data sample, the number of data samples included in each report, and the transmission format of the data sample. Optionally, the reporting configuration information may also include UL SDT configuration information.

[0222] In some implementations, the sampling period for collecting data samples by the terminal device is smaller than the reporting period for the data samples.

[0223] In some implementations, the terminal device collects data samples based on the configured sampling period, and reports the data samples based on the configured reporting period. Optionally, the reporting period of the data samples is greater than or equal to the sampling period of the data samples. For example, for AI-based positioning scenarios, the configured sampling period is N1 and the reporting period is N2, where N2=M*N1. Wherein, N1, N2 and M are integers greater than or equal to 1. The terminal device measures the PRS according to the sampling period N1 and obtains data samples, and further reports the collected data samples based on the reporting period N2.

[0224] In some implementations, the terminal device can report data samples collected at multiple time points. For example, if reporting period N2 includes M N1s, the terminal device can report M data samples collected at M N1 time points to the network device at time N2.

[0225] In some implementations, the terminal device can determine the reporting of data samples and report the data samples when the set conditions are met, thereby avoiding the waste of resources caused by frequent reporting. Optionally, the number of sampled data samples is greater than or equal to the set data, or the amount of data collected is greater than a set threshold.

[0226] Step S2109: When the terminal device determines that the data sample meets the set conditions, it initiates a random access process to enter the connection state and sends the data sample to the network device.

[0227] In some implementations, the terminal device can report and determine the data samples, and when the set conditions are met, it can send a random access process to the network device so that the terminal device can enter a connected state, and in the connected state the terminal device sends data samples to the network device.

[0228] In some implementations, the number of sampled data samples is greater than or equal to the set data, or the amount of data samples collected is greater than the set threshold value. The terminal device can initiate a random access process to the network device to quickly report a larger number of data samples to the network device and avoid the loss of data samples.

[0229] In some embodiments, the names of information, etc. are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codeword", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0230] In some embodiments, terms such as "synchronization signal (SS)", "synchronization signal block (SSB)", "reference signal (RS)", "pilot", and "pilot signal" can be used interchangeably.

[0231] In some embodiments, terms such as "moment", "time point", "time", and "time position" can be replaced with each other, and terms such as "duration", "period", "time window", "window", and "time" can be replaced with each other.

[0232] In some embodiments, "obtain", "get", "get", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining by self-processing, autonomous implementation, etc.

[0233] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0234] In some embodiments, terms such as "certain", "preset", "preset", "setting", "indicated", "a certain", "any", and "first" can be interchangeable. "Specific A", "preset A", "preset A", "setting A", "indicated A", "a certain A", "any A", and "first A" can be interpreted as A pre-specified in a protocol, etc., or as A obtained through setting, configuration, or indication, etc., or as specific A, a certain A, any A, or first A, etc., but not limited to this.

[0235] In some embodiments, the determination or judgment can be performed by a value represented by 1 bit (0 or 1), or by a true or false value (Boolean value) represented by true or false, or by comparison of numerical values ​​(for example, comparison with a predetermined value), but is not limited thereto.

[0236] The data collection method involved in the embodiments of the present disclosure may include at least one of steps S2101 to S2109. For example, step S2104 can be implemented as an independent embodiment, step S2107 can be implemented as an independent embodiment, steps S2101+S2102+S2103+S2104 can be implemented as an independent embodiment, steps S2101+S2102+S2103+S2104+S2105+S2106+S2107 can be implemented as an independent embodiment, and steps S2101+S2102+S2103+S2104+S2105+S2106+S2107+S2108+S2109 are implemented as an independent embodiment, but are not limited thereto.

[0237] In some embodiments, steps S2101, S2102, S2103, S2105, S2106, S2108 and S2109 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0238] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0239] FIG3A is a flow chart of a data collection method according to an embodiment of the present disclosure. As shown in FIG3A , the method is executed by a terminal device and includes:

[0240] Step S3101, receiving third information.

[0241] In some implementations, the third information may be used to request the terminal device to obtain data collection capabilities.

[0242] In some implementations, the third information may be used to instruct the terminal device to acquire data collection capabilities.

[0243] In some implementations, the third information may be used to instruct the terminal device to report its own data collection capability.

[0244] In some implementations, the third information may be data collection capability request information, or the third information may be data collection capability reporting information, or the third information may be data collection capability acquisition indication information.

[0245] In some implementations, the data collection capabilities that the terminal device needs to obtain include but are not limited to: the configuration of the reference signals supported by the terminal device, the terminal device's ability to process data samples collected for model training, the terminal device's ability to store data samples, the terminal device's ability to report data samples, etc.

[0246] In some implementations, the third information may be used to indicate to the terminal device the data acquisition capabilities that need to be acquired. For example, it may indicate one or more of the configuration of reference signals supported by the terminal device, the terminal device's processing capability for data samples, storage capability, and reporting capability.

[0247] In some implementations, the configuration information of the measurement reference signals supported by the terminal device may include, but is not limited to, the transmission timing of the measurement reference signals, the frequency domain resources occupied when the reference signals are transmitted, etc. Optionally, the measurement reference signals supported by the terminal device may include, but are not limited to, the Channel State Information-Reference Signal (CSI-RS), the Synchronization Signal / PBCH Block (SSB), and the Positioning Reference Signal (PRS).

[0248] In some implementations, the terminal device's ability to process data samples may include, but is not limited to, whether it can decompose or perform calculations on the measured initial information to obtain information different from the initial measurement.

[0249] In some implementations, the storage capability of the terminal device for data samples may include, but is not limited to: the storage capacity, storage location, and storage conditions of the terminal device.

[0250] In some implementations, the terminal device's data sample reporting capability may include, but is not limited to: the reporting period of the data samples, the frequency resources occupied during reporting, the number of data samples included in each report, and the transmission format of the data samples.

[0251] In some implementations, the transmission format of the data sample includes, but is not limited to, the size of the data packet and the modulation and coding scheme used by the data packet. In some implementations, the network device may send the third information to the terminal device when the terminal device is in a connected state. Alternatively, the network device may send the third information to the terminal device periodically or periodically.

[0252] In some implementations, the terminal device may send sixth information to the network device, where the sixth information is used to request to enter a non-connected state.

[0253] Step S3102: Acquire data collection capability.

[0254] In some implementations, the terminal device may obtain, based on the third information, the configuration of the reference signal supported by the terminal device, and the processing capability, storage capability, and reporting capability of the terminal device for data samples.

[0255] In some implementations, the terminal device may obtain, based on the third information, one or more of the configuration of the reference signal supported by the indicated terminal device, the processing capability, storage capability, and reporting capability of the terminal device for data samples.

[0256] Step S3103, sending the second information.

[0257] In some implementations, the second information is used to indicate the data collection capability of the terminal device to the network device.

[0258] In some implementations, the second information is used to report the data collection capability of the terminal device to the network device.

[0259] In some implementations, the second information may include, but is not limited to, one or more of the configuration of the reference signal supported by the terminal device, the processing capability, storage capability, and reporting capability of the terminal device for data samples.

[0260] In some implementations, the second information may be data collection capability indication information, or the second information may be data collection capability reporting information.

[0261] Step S3104, receiving the first information.

[0262] In some implementations, the first information is used to collect data samples for model training when the terminal device is in a non-connected state.

[0263] In some implementations, the first information is used to report data samples for model training when the terminal device is in a non-connected state.

[0264] In some implementations, the first information may be configuration information for data collection when the terminal device is in a non-connected state. Based on the configuration information, the terminal device may collect data samples for model training in a non-connected state.

[0265] In some implementations, the first information may be data collection indication information when the terminal device is in a non-connected state, or the first information may be request information for reporting data samples when the terminal device is in a non-connected state.

[0266] In some implementations, the network device may send RRC signaling, which may include the first information. Optionally, the terminal device may receive the RRC signaling to obtain the first information. In some implementations, the network device may send DCI signaling, which may include the first information. Optionally, the terminal device may receive the DCI signaling to obtain the first information. Optionally, the signaling carrying the first information may include, but is not limited to, RRC signaling, DCI signaling, and MAC CE signaling.

[0267] In some implementations, the first information includes at least one of the following: configuration information of a measurement reference signal, format information of a data sample, reporting configuration information of a data sample, etc.

[0268] In some implementations, the configuration information of the measurement reference signal includes but is not limited to: a transmission period of the measurement reference signal, sequence parameters, frequency resources, etc. Optionally, the measurement reference signal may include but is not limited to: CSI-RS, SSB, and PRS, etc.

[0269] In some implementations, different types of AI models may correspond to different measurement reference signals. For example, in the training scenario of an AI model for CSI enhancement, the measurement reference signal may be CSI-RS; in the training scenario of an AI model for beam management, the measurement reference signal may be SSB; in the training scenario of an AI model for positioning, the measurement reference signal may be PRS.

[0270] In some implementations, different types of AI models correspond to different types of data samples. For example, for AI models used for positioning, the data samples that can be collected include but are not limited to channel impulse response, power distribution information, time distribution information, etc. For another example, for AI models used for beam management, the data samples that need to be collected include but are not limited to the signal quality parameters of the beam configured by the network or protocol. Optionally, the signal quality parameters of the configured beam may include Reference Signal Receiving Power (RSRP) information, Reference Signal Receiving Quality (RSRQ) information, Signal Interference Noise Ratio (SINR) information, etc. For another example, for AI models used for CSI enhancement, the data samples that can be collected include but are not limited to the full channel information measured by the terminal device, or the feature vector information decomposed based on the measured full channel information, etc.

[0271] In some implementations, the reporting configuration information of the data samples may include, but is not limited to: the reporting period of the data samples, the frequency resources occupied when reporting, the number of data samples included in each report, and the transmission format of the data samples.

[0272] In some implementations, the network device may send the first information to the terminal device based on a protocol agreement or upper layer configuration.

[0273] In some implementations, the network device may send the first information to the terminal device based on the data collection capability reported by the terminal device.

[0274] In some implementations, the network device may send the first information to the terminal device when the terminal device is in a connected state.

[0275] In some implementations, the network device may send the first information to the terminal device upon receiving a non-connection state request sent by the terminal device.

[0276] Step S3105, receiving the fourth information.

[0277] In some implementations, the fourth information is used to request the terminal device to collect data samples for model training.

[0278] In some implementations, the fourth information is used to inquire whether the terminal device can collect data samples for model training.

[0279] In some implementations, the fourth information is used to instruct the terminal device to collect data samples for model training.

[0280] In some implementations, the fourth information may be request information for requesting data samples, or the fourth information may be query information for inquiring whether data samples can be collected from the terminal device, or the fourth information may be instruction information instructing the terminal device to collect data samples for model training.

[0281] In some implementations, the network device may send RRC signaling, which may include the first information. Optionally, the terminal may receive the RRC signaling to obtain the fourth information. In some implementations, the network device may send DCI signaling, which may include the first information. Optionally, the terminal may receive the DCI signaling to obtain the fourth information. Optionally, the signaling carrying the fourth information may include, but is not limited to, RRC signaling, DCI signaling, or MAC CE signaling.

[0282] Step S3106, sending the fifth information.

[0283] In some implementations, the fifth information is used to instruct the terminal device to confirm data collection.

[0284] In some implementations, the fifth information may be confirmation information sent by the terminal device to confirm data collection.

[0285] In some implementations, the terminal device may confirm the acquisition of data collection and, upon determining that data collection is possible, obtain the data collection capabilities of the terminal device. Alternatively, the terminal device may confirm with the user via an interactive interface. Alternatively, the terminal device may determine whether data collection is possible based on a protocol agreement or network indication. Upon confirming that data collection is possible, the terminal device may transmit fifth information to the network device. Alternatively, the network device may receive the fifth information and, if it determines that the terminal device is capable of data collection, transmit the first information to the terminal device.

[0286] Step S3107: The terminal device is in a non-connected state and collects data samples based on the first information.

[0287] In some implementations, the collected data samples are used for model training. Optionally, the model can be an artificial intelligence (AI) model or a machine learning (ML) model.

[0288] In some implementations, the terminal device being in a non-connected state may include but is not limited to: the terminal device being in an RRC inactive state, the terminal device being in an RRC idle state, etc.

[0289] In some implementations, the terminal device is in a non-connected state and can collect data samples for model training based on the first information.

[0290] In some implementations, the terminal device may determine a measurement reference signal and configuration information of the measurement reference signal based on the first information. Optionally, different types of AI models may correspond to different measurement reference signals. For example, in the training scenario of an AI model for CSI enhancement, the measurement reference signal may be a CSI-RS; in the training scenario of an AI model for beam management, the measurement reference signal may be an SSB; in the training scenario of an AI model for positioning, the measurement reference signal may be a PRS.

[0291] In some implementations, the terminal device may determine the different types of data samples that need to be collected to match the AI ​​model based on the first information. Optionally, different AI models correspond to different types of data samples. For example, for the AI ​​model used for positioning, the data samples that can be collected include but are not limited to channel impulse response, power distribution information, time distribution information, etc. For another example, for the AI ​​model used for beam management, the data samples that can be collected include but are not limited to the signal quality parameters of the beam configured by the network or protocol. Optionally, the signal quality parameters of the configured beam may include RSRP information, RSRQ information, SINR information, etc. For another example, for the AI ​​model used for CSI enhancement, the data samples that can be collected include but are not limited to the full channel information measured by the terminal device, or the feature vector information decomposed based on the measured full channel information.

[0292] Step S3108: Send data samples via the configured UL SDT.

[0293] After obtaining the data samples for model training, the terminal device reports the data samples to the network device.

[0294] In some implementations, the terminal device may send data samples to the terminal device via a configured uplink small data transmission (UL SDT).

[0295] In some implementations, UL SDT is a method in which a terminal device can transmit data with a network device without performing random access to enter a connected state.

[0296] In some implementations, UL SDT may be pre-configured by a network device, or may be based on a protocol agreement. Optionally, UL SDT configuration information may include, but is not limited to, the period for reporting data samples by the terminal device, the occupied frequency resources, the transmission format of the data samples, etc.

[0297] In some implementations, the terminal device may report the data sample to the network device based on the reporting configuration information of the data sample in the first information. Optionally, the reporting configuration information may include, but is not limited to, the reporting period of the data sample, the frequency domain resources occupied by the data sample, the number of data samples included in each report, and the transmission format of the data sample. Optionally, the reporting configuration information may also include UL SDT configuration information.

[0298] In some implementations, the sampling period for collecting data samples by the terminal device is smaller than the reporting period for the data samples.

[0299] In some implementations, the terminal device collects data samples based on the configured sampling period, and reports the data samples based on the configured reporting period. Optionally, the reporting period of the data samples is greater than or equal to the sampling period of the data samples. For example, for AI-based positioning scenarios, the configured sampling period is N1 and the reporting period is N2, where N2=M*N1. Wherein, N1, N2 and M are integers greater than or equal to 1. The terminal device measures the PRS according to the sampling period N1 and obtains data samples, and further reports the collected data samples based on the reporting period N2.

[0300] In some implementations, the terminal device can report data samples collected at multiple time points. For example, if reporting period N2 includes M N1s, the terminal device can report M data samples collected at M N1 time points to the network device at time N2.

[0301] In some implementations, the terminal device can determine the reporting of data samples and report the data samples when the set conditions are met, thereby avoiding the waste of resources caused by frequent reporting. Optionally, the number of sampled data samples is greater than or equal to the set data, or the amount of data collected is greater than a set threshold.

[0302] Step S3109: When the terminal device determines that the data sample meets the set conditions, it initiates a random access process to enter the connection state and sends the data sample to the network device.

[0303] In some implementations, the terminal device can report and determine the data samples, and when the set conditions are met, it can send a random access process to the network device so that the terminal device can enter a connected state, and in the connected state the terminal device sends data samples to the network device.

[0304] In some implementations, the number of sampled data samples is greater than or equal to the set data, or the amount of data samples collected is greater than the set threshold value. The terminal device can initiate a random access process to the network device to quickly report a larger number of data samples to the network device and avoid the loss of data samples.

[0305] The data collection method according to the embodiments of the present disclosure may include at least one of steps S3101 to S3109. For example, step S3104 may be implemented as an independent embodiment, step S3107 may be implemented as an independent embodiment, steps S3101+S3102+S3103+S3104 may be implemented as an independent embodiment, steps S3101+S3102+S3103+S3104+S3105+S3106+S3107 may be implemented as an independent embodiment, and steps S3101+S3102+S3103+S3104+S3105+S3106+S3107+S3108+S3109 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0306] In some embodiments, steps S3101, S3102, S3103, S3105, S3106, S3108 and S3109 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0307] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0308] FIG3B is a flow chart of another data collection method according to an embodiment of the present disclosure. As shown in FIG3B , the method is executed by a terminal device and includes:

[0309] Step S3201, receiving third information.

[0310] Optional implementations of step S3201 can be found in step S2101 of FIG. 2 , optional implementations of step S3101 of FIG. 3A , and other related parts in the embodiments involved in FIG. 2 and FIG. 3A , which will not be described in detail here.

[0311] Step S3202: Acquire data collection capability.

[0312] Optional implementations of step S3202 can be found in step S2102 of FIG. 2 , optional implementations of step S3102 of FIG. 3A , and other related parts in the embodiments involved in FIG. 2 and FIG. 3A , which will not be described in detail here.

[0313] Step S3203, sending the second information.

[0314] Optional implementations of step S3203 may refer to step S2103 in FIG. 2 , optional implementations of step S3103 in FIG. 3A , and other related parts in the embodiments involved in FIG. 2 and FIG. 3A , which will not be described in detail here.

[0315] Step S3204, receiving the first information.

[0316] Optional implementations of step S3204 can be found in step S2104 of FIG. 2 , optional implementations of step S3104 of FIG. 3A , and other related parts in the embodiments involved in FIG. 2 and FIG. 3A , which will not be described in detail here.

[0317] Step S3205, receiving the fourth information.

[0318] The optional implementation of step S3205 can refer to step S2105 in Figure 2, the optional implementation of step S3105 in Figure 3A, and other related parts in the embodiments involved in Figures 2 and 3A, which will not be repeated here.

[0319] Step S3206, sending the fifth information.

[0320] Optional implementations of step S3206 can be found in step S2106 of FIG. 2 , optional implementations of step S3106 of FIG. 3A , and other related parts in the embodiments involved in FIG. 2 and FIG. 3A , which will not be described in detail here.

[0321] Step S3207: The terminal device is in a non-connected state and collects data samples based on the first information.

[0322] Optional implementations of step S3207 may refer to step S2107 in FIG. 2 , optional implementations of step S3107 in FIG. 3A , and other related parts in the embodiments involved in FIG. 2 and FIG. 3A , which will not be described in detail here.

[0323] Step S3208, sending data samples.

[0324] Optionally, after the terminal device obtains the data sample, the method further includes:

[0325] Data samples for model training are sent to network devices through the configured uplink small data transmission UL SDT.

[0326] After obtaining the data samples for model training, the terminal device reports the data samples to the network device.

[0327] In some implementations, the terminal device may send data samples to the terminal device via a configured uplink small data transmission (UL SDT).

[0328] In some implementations, UL SDT is a method in which a terminal device can transmit data with a network device without performing random access to enter a connected state.

[0329] In some implementations, UL SDT may be pre-configured by a network device, or may be based on a protocol agreement. Optionally, UL SDT configuration information may include, but is not limited to, the period for reporting data samples by the terminal device, the occupied frequency resources, the transmission format of the data samples, etc.

[0330] In some implementations, the terminal device may report the data sample to the network device based on the reporting configuration information of the data sample in the first information. Optionally, the reporting configuration information may include, but is not limited to, the reporting period of the data sample, the frequency domain resources occupied by the data sample, the number of data samples included in each report, and the transmission format of the data sample. Optionally, the reporting configuration information may also include UL SDT configuration information.

[0331] In some implementations, the sampling period for collecting data samples by the terminal device is smaller than the reporting period for the data samples.

[0332] In some implementations, the terminal device collects data samples based on a configured sampling period and reports the data samples based on a configured reporting period. Optionally, the reporting period of the data samples is greater than or equal to the sampling period of the data samples. For example, in an AI-based positioning scenario, the configured sampling period is N1 and the reporting period is N2, where N2=M*N1. Wherein, N1, N2, and M are integers greater than or equal to 1. The terminal device measures the PRS according to the sampling period N1 and obtains data samples, and further reports the collected data samples based on the reporting period N2.

[0333] In some implementations, the terminal device can report data samples collected at multiple time points. For example, if reporting period N2 includes M N1s, the terminal device can report M data samples collected at M N1 time points to the network device at time N2.

[0334] In some implementations, the terminal device can determine the reporting of data samples and report the data samples when the set conditions are met, thereby avoiding the waste of resources caused by frequent reporting. Optionally, the number of sampled data samples is greater than or equal to the set data, or the amount of data collected is greater than a set threshold.

[0335] Optionally, when the terminal device determines that the data sample meets the set conditions, it initiates a random access process to enter the connection state and sends the data sample to the network device.

[0336] In some implementations, the terminal device can report and determine the data samples, and when the set conditions are met, it can send a random access process to the network device so that the terminal device can enter a connected state, and in the connected state the terminal device sends data samples to the network device.

[0337] In some implementations, the number of sampled data samples is greater than or equal to the set data, or the amount of data samples collected is greater than the set threshold value. The terminal device can initiate a random access process to the network device to quickly report a larger number of data samples to the network device and avoid the loss of data samples.

[0338] The data collection method involved in the embodiments of the present disclosure may include at least one of steps S3201 to S3208. For example, step S3204 can be implemented as an independent embodiment, step S3207 can be implemented as an independent embodiment, steps S3204+S3207 can be implemented as an independent embodiment, steps S3201+S3202+S3203+S3204 can be implemented as an independent embodiment, steps S3201+S3202+S3203+S3204+S3205+S3206+S3207 can be implemented as an independent embodiment, and steps S3201+S3202+S3203+S3204+S3205+S3206+S3207+S3208 can be implemented as an independent embodiment, but are not limited thereto.

[0339] In some embodiments, steps S3201, S3202, S3203, S3205, S3206, and S3208 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0340] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0341] FIG3C is a flow chart of another data collection method according to an embodiment of the present disclosure. As shown in FIG3C , the method is executed by a terminal device and includes:

[0342] Step S3301, receiving third information.

[0343] Optional implementations of step S3301 may refer to the optional implementations of step S2101 in FIG. 2 , step S3101 in FIG. 3A , step S3201 in FIG. 3B , and other related parts in the embodiments involved in FIG. 2 , FIG. 3A , and FIG. 3B , which will not be described in detail here.

[0344] Step S3302: Acquire data collection capability.

[0345] The optional implementation of step S3302 can refer to step S2102 in Figure 2, the optional implementation of step S3102 in Figure 3A, and other related parts in the embodiments involved in Figures 2 and 3A, which will not be repeated here.

[0346] Step S3303, sending the second information.

[0347] The optional implementation of step S3303 can refer to the optional implementation of step S2103 in Figure 2, step S3103 in Figure 3A, step S3203 in Figure 3B, and other related parts in the embodiments involved in Figures 2, 3A, and 3B, which will not be repeated here.

[0348] Step S3304, receiving the first information.

[0349] The optional implementation of step S3304 can refer to the optional implementation of step S2104 in Figure 2, step S3104 in Figure 3A, step S3204 in Figure 3B, and other related parts in the embodiments involved in Figures 2, 3A, and 3B, which will not be repeated here.

[0350] Step S3305: The terminal device is in a non-connected state and collects data samples based on the first information.

[0351] The optional implementation of step S3305 can refer to the optional implementation of step S2107 in Figure 2, step S3107 in Figure 3A, step S3207 in Figure 3B, and other related parts in the embodiments involved in Figures 2, 3A, and 3B, which will not be repeated here.

[0352] Step S3306, sending data samples.

[0353] The optional implementation of step S3306 can be found in steps S2108 and S2109 of Figure 2, steps S3108 and S3109 of Figure 3A, the optional implementation of step S3208 of Figure 3B, and other related parts in the embodiments involved in Figures 2, 3A, and 3B, which will not be repeated here.

[0354] The data collection method involved in the embodiments of the present disclosure may include at least one of steps S3301 to S3306. For example, step S3304 can be implemented as an independent embodiment, step S3305 can be implemented as an independent embodiment, steps S3304+S3305 can be implemented as an independent embodiment, steps S3304+S3305 can be implemented as an independent embodiment, steps S3301+S3302+S3303+S3304 can be implemented as an independent embodiment, steps S3301+S3302+S3303+S3304+S3305 can be implemented as an independent embodiment, and steps S3304+S3305+S3306 can be implemented as an independent embodiment, but are not limited thereto.

[0355] In some embodiments, steps S3301, S3302, S3303, and S3306 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0356] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0357] FIG3D is a flow chart of another data collection method according to an embodiment of the present disclosure. As shown in FIG3C , the method is executed by a terminal device and includes:

[0358] Step S3401, receiving first information.

[0359] The optional implementation of step S3401 can be found in the optional implementation of step S2104 in Figure 2, step S3104 in Figure 3A, step S3204 in Figure 3B, step S3304 in Figure 3C, and other related parts in the embodiments involved in Figures 2, 3A, 3B, and 3C, which will not be repeated here.

[0360] Step S3402: The terminal device is in a non-connected state and collects data samples based on the first information.

[0361] The optional implementation of step S3402 can be found in the optional implementation of step S2107 in Figure 2, step S3107 in Figure 3A, step S3207 in Figure 3B, step S3305 in Figure 3C, and other related parts in the embodiments involved in Figures 2, 3A, 3B, and 3C, which will not be repeated here.

[0362] Step S3403: Send data samples.

[0363] The optional implementation of step S3403 can be found in steps S2108 and S2109 of Figure 2, steps S3108 and S3109 of Figure 3A, step S3208 of Figure 3B, the optional implementation of step S3306 of Figure 3C, and other related parts in the embodiments involved in Figures 2, 3A, 3B, and 3C, which will not be repeated here.

[0364] The data collection method involved in the embodiments of the present disclosure may include at least one of steps S3401 to S3403. For example, step S3401 can be implemented as an independent embodiment, step S3402 can be implemented as an independent embodiment, steps S3401+S3402 can be implemented as an independent embodiment, and steps S3402+S3403 can be implemented as independent embodiments, but the present invention is not limited thereto.

[0365] In some embodiments, step S3403 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0366] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0367] FIG3E is a flow chart of another data collection method according to an embodiment of the present disclosure. As shown in FIG3C , the method is executed by a terminal device and includes:

[0368] Step S3501, receiving first information.

[0369] The optional implementation methods of step S3501 can be found in step S2104 of Figure 2, step S3104 of Figure 3A, step S3204 of Figure 3B, step S3304 of Figure 3C, and the optional implementation methods of step S3401 of Figure 3D, as well as other related parts in the embodiments involved in Figures 2, 3A, 3B, 3C, and 3D, which will not be repeated here.

[0370] Step S3502: The terminal device is in a non-connected state and collects data samples based on the first information.

[0371] For the optional implementation of step S3502, please refer to the optional implementation of step S2107 in Figure 2, step S3107 in Figure 3A, step S3207 in Figure 3B, step S3305 in Figure 3C, step S3402 in Figure 3D, and other related parts in the embodiments involved in Figures 2, 3A, 3B, 3C, and 3D, which will not be repeated here.

[0372] The communication method involved in the embodiments of the present disclosure may include at least one of steps S3501 and S3502. For example, step S3501 may be implemented as an independent embodiment, step S3502 may be implemented as an independent embodiment, and steps S3501+S3502 may be implemented as independent embodiments, but are not limited thereto.

[0373] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0374] FIG4A is a flow chart of another data collection method according to an embodiment of the present disclosure. As shown in FIG4A , the method is executed by a network device and includes:

[0375] Step S4101, sending the third information.

[0376] The optional implementation of step S4101 can refer to the optional implementation of step S2101 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0377] Step S4102, receiving the second information.

[0378] The optional implementation of step S4102 can refer to the optional implementation of step S2103 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0379] Step S4103, sending the first information.

[0380] The optional implementation of step S4103 can refer to the optional implementation of step S2104 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0381] Step S4104, sending the fourth information.

[0382] The optional implementation of step S4104 can refer to the optional implementation of step S2105 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0383] Step S4105, receiving the fifth information.

[0384] The optional implementation of step S4105 can refer to the optional implementation of step S2106 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0385] Step S4106, receiving data samples.

[0386] The optional implementation of step S4106 can refer to the optional implementation of step S2108 and step S2109 in Figure 2, and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0387] The data collection method according to the embodiments of the present disclosure may include at least one of steps S4101 to S4106. For example, step S4103 may be implemented as an independent embodiment, steps S4101+S4102+S4103 may be implemented as an independent embodiment, and steps S4101+S4102+S4103+S4104+S4105+S4106 may be implemented as independent embodiments, but the present invention is not limited thereto.

[0388] In some embodiments, steps S4101, S4102, S4104, S4105, and S4106 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0389] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0390] FIG4B is a flow chart of another data collection method according to an embodiment of the present disclosure. As shown in FIG4B , the method is executed by a network device and includes:

[0391] Step S4201, sending the third information.

[0392] Optional implementations of step S4201 can be found in step S2101 of FIG. 2 , optional implementations of step S4101 of FIG. 4A , and other related parts in the embodiments involved in FIG. 2 and FIG. 4A , which will not be described in detail here.

[0393] Step S4202, receiving the second information.

[0394] The optional implementation of step S4202 can refer to step S2103 in FIG. 2 , the optional implementation of step S4102 in FIG. 4A , and other related parts in the embodiments involved in FIG. 2 and FIG. 4A , which will not be described in detail here.

[0395] Step S4203, sending the first information.

[0396] The optional implementation of step S4203 can refer to step S2104 in FIG. 2 , the optional implementation of step S4103 in FIG. 4A , and other related parts in the embodiments involved in FIG. 2 and FIG. 4A , which will not be described in detail here.

[0397] The data collection method involved in the embodiment of the present disclosure may include at least one of steps S4201 to S4203. For example, step S4203 may be implemented as an independent embodiment, and steps S4201+S4202+S4203 may be implemented as independent embodiments, but are not limited thereto.

[0398] In some embodiments, steps S4201 and S4202 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0399] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0400] FIG4C is a flow chart of another data collection method according to an embodiment of the present disclosure. As shown in FIG4C , the method is executed by a network device and includes:

[0401] Step S4301, sending the first information.

[0402] In an optional embodiment, step S4301 includes lower-level solutions (or median solutions) steps S4201 and S4202. The optional implementation of step S4301 can be found in the optional implementation of step S2104 in Figure 2, step S4103 in Figure 4A, step S4203 in Figure 4B, and other related parts in the embodiments involved in Figures 2, 4A, and 4B, which will not be repeated here.

[0403] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0404] FIG5 is a flow chart of a data acquisition method according to an embodiment of the present disclosure. As shown in FIG5 , the present disclosure embodiment relates to a data acquisition method, which includes:

[0405] Step S5101: Receive configuration information about data collection from the network side.

[0406] Optionally, the configuration information includes at least one of the following:

[0407] Measurement reference signal configuration information, such as reference signal transmission period, sequence parameters, frequency resources, etc.

[0408] The format information of the collected data, such as the type of data collected. For example, for AI-based positioning, the collected data type can be channel impulse response, power distribution information, time distribution information, etc.

[0409] The reporting configuration of measurement data includes the reporting period of the collected data, the frequency resources occupied, and the number of samples included in each report.

[0410] Step S5102: The terminal obtains data collection capability.

[0411] Based on step S5101, before receiving the configuration information in step S5101, the terminal may also receive a data collection capability acquisition message initiated by the network. The data collection capability includes the ability to perform relevant measurements (e.g., supported reference signal configurations), the ability to process measurement data, the ability to store measurement data, the ability to report measurement data, etc. When the terminal receives this acquisition message, it reports the data collection capability information.

[0412] Step S5103: The terminal receives a data collection request.

[0413] Based on step S5101, before receiving the configuration information in step S5101, the terminal may also receive a data collection request. After receiving the request, when the terminal confirms that data collection can be performed, the terminal sends a confirmation message to the network.

[0414] Step S5104: The terminal receives information when in a connected state.

[0415] Based on step S5101, the terminal receives the information when in a connected state.

[0416] Step S5105: When the terminal is in a disconnected state, the network sends information to the terminal.

[0417] Based on step S5101, when the terminal requests to enter the unconnected state, the network sends the information to the terminal.

[0418] Step S5106: When the terminal is in a disconnected state, data collection and data reporting are performed.

[0419] Based on step S5101, the configuration information is configuration information for data collection when the terminal is in a non-connected state. When the terminal enters a non-connected state, such as an RRC inactive state or an RRC idle state, data collection and data reporting are performed according to the configuration information.

[0420] Step S5107: The terminal reports data.

[0421] Based on step S5101, when reporting, the terminal can report data collected at multiple time points. In response to the terminal collecting data based on the configured period, and reporting data based on the configured period. The reporting period is larger than the measurement period. For example, in an AI-based positioning scenario, the terminal side measures the PRS based on a period of N1 and obtains the measurement data, and then reports the collected data based on a period of N2. Where N2 = M*N1.

[0422] Step S5108: Send data samples to the network device via the configured UL SDT.

[0423] In response to the terminal being in the disconnected state, the network can configure the terminal to upload collected data using UL SDT (small data transmission). UL SDT transmission allows the terminal to transmit data without performing random access to enter the connected state. UL SDT configuration information includes the period, frequency resources, and data transmission format used by the terminal to report collected data.

[0424] Step S5109: When it is determined that the data meets the preset conditions, a random access process is initiated to enter the connected state and send data to the network device.

[0425] In response to the terminal being in a non-connected state, when the collected data meets a preset condition, the terminal may initiate random access, enter a connected state, and send the collected data to the network.

[0426] The data collection method involved in the embodiments of the present disclosure may include at least one of steps S5101 to S5109. For example, step S5104 can be implemented as an independent embodiment, step S5105 can be implemented as an independent embodiment, steps S5104+S5105 can be implemented as independent embodiments, and steps S5101+S5102+S5103+S5104+S5105 can be implemented as independent embodiments, but are not limited thereto.

[0427] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0428] The embodiments of the present disclosure further provide an apparatus for implementing any of the above methods. For example, an apparatus is provided, comprising units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is provided, comprising units or modules for implementing each step performed by a network device (e.g., an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0429] It should be understood that the division of the various units or modules in the above device is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), which realizes the functions of some or all of the above units or modules by designing the logical relationship of the components in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be realized by a programmable logic device (PLD). Taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by configuring the configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices can be realized in the form of software called by the processor, or in the form of hardware circuits, or in part by the form of software called by the processor, and the rest by hardware circuits.

[0430] In the embodiments of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution capabilities, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationship of the hardware circuit. The logical relationship of the above-mentioned hardware circuit is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and implementing the hardware circuit configuration can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), etc.

[0431] Figure 6A is a schematic diagram of the structure of the first communication device proposed in an embodiment of the present disclosure. As shown in Figure 6A, the first communication device includes: a first processing module for receiving first information sent by a network device; a second processing module for collecting data samples based on the first information when the terminal device is in a non-connected state. Optionally, the above-mentioned processing module is used to execute the processing-related steps performed by the terminal 101 in any of the above methods. Optionally, the first communication device also includes at least one of a sending module and a receiving module, and the above-mentioned sending module is used to execute the sending-related steps performed by the terminal 101 in any of the above methods, and the above-mentioned receiving module is used to execute the receiving-related steps performed by the terminal 101 in any of the above methods, which will not be repeated here.

[0432] Figure 6B is a schematic diagram of the structure of a second communication device provided in an embodiment of the present disclosure. As shown in Figure 6B, the second communication device includes: a sending module for sending first information to a terminal device, where the first information is used to collect data samples when the terminal device is in a disconnected state. Optionally, the second communication device also includes at least one of a determination module and a sending module, where the determination module is used to execute the determination-related steps performed by network device 102 in any of the above methods, and the sending module is used to execute the sending-related steps performed by network device 102 in any of the above methods, which will not be repeated here.

[0433] Figure 7A is a schematic diagram of the structure of a communication device 7100 proposed in an embodiment of the present disclosure. Communication device 7100 can be a network device (e.g., an access network device, a core network device, etc.), a terminal (e.g., a user equipment, etc.), a chip, a chip system, or a processor that supports a network device to implement any of the above methods, or a chip, a chip system, or a processor that supports a terminal to implement any of the above methods. Communication device 7100 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.

[0434] As shown in Figure 7A, the communication device 7100 includes one or more processors 7101. The processor 7101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process program data. The processor 7101 is used to call instructions to enable the communication device 7100 to perform any of the above methods.

[0435] In some embodiments, the communication device 7100 further includes one or more memories 7102 for storing instructions. Optionally, all or part of the memories 7102 may be located outside the communication device 7100.

[0436] In some embodiments, the communication device 7100 further includes one or more transceivers 7103. When the communication device 7100 includes one or more transceivers 7103, the communication steps such as sending and receiving in the above method are performed by the transceiver 7103, and the other steps are performed by the processor 7101.

[0437] In some embodiments, a transceiver may include a receiver and a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, and transceiver circuit may be used interchangeably; the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be used interchangeably; and the terms receiver, receiving unit, receiver, and receiving circuit may be used interchangeably.

[0438] Optionally, the communication device 7100 further includes one or more interface circuits 7104, which are connected to the memory 7102. The interface circuits 7104 can be used to receive signals from the memory 7102 or other devices, and can be used to send signals to the memory 7102 or other devices. For example, the interface circuits 7104 can read instructions stored in the memory 7102 and send the instructions to the processor 7101.

[0439] The communication device 7100 described in the above embodiment may be a network device or a terminal, but the scope of the communication device 7100 described in the present disclosure is not limited thereto, and the structure of the communication device 7100 may not be limited by FIG. 7A. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0440] 7B is a schematic diagram of the structure of a chip 7200 proposed in an embodiment of the present disclosure. If the communication device 7100 can be a chip or a chip system, please refer to the schematic diagram of the structure of the chip 7200 shown in FIG7B , but the present disclosure is not limited thereto.

[0441] The chip 7200 includes one or more processors 7201 , and the processor 7201 is used to call instructions so that the chip 7200 executes any of the above methods.

[0442] In some embodiments, chip 7200 further includes one or more interface circuits 7202, which are connected to memory 7203. Interface circuit 7202 can be used to receive signals from memory 7203 or other devices, and can be used to send signals to memory 7203 or other devices. For example, interface circuit 7202 can read instructions stored in memory 7203 and send the instructions to processor 7201. Optionally, the terms interface circuit, interface, transceiver pin, and transceiver are interchangeable.

[0443] In some embodiments, the chip 7200 further includes one or more memories 7203 for storing instructions. Alternatively, all or part of the memories 7203 may be located outside the chip 7200.

[0444] The present disclosure also proposes a storage medium having instructions stored thereon. When the instructions are executed on the communication device 7100, the communication device 7100 executes any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited thereto and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto and may also be a temporary storage medium.

[0445] The present disclosure also provides a program product, which, when executed by the communication device 7100, enables the communication device 7100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0446] The present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to perform any one of the above methods.

[0447] In the above embodiments, all or part of the embodiments can be implemented by software, hardware, firmware or any combination thereof. When implemented using software, all or part of the embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer programs. When the computer program is loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present disclosure are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer program can 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 can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated therein. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a high-density digital video disc (DVD)), or a semiconductor medium (eg, a solid state disk (SSD)).

[0448] Those skilled in the art will appreciate that the units and algorithm steps of each example 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 performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians 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.

[0449] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0450] The above description is merely a specific embodiment of the present disclosure, but the scope of protection of the present disclosure is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this disclosure should be included in the scope of protection of the present disclosure. Therefore, the scope of protection of the present disclosure should be based on the scope of protection of the claims.

Claims

1. A data collection method, characterized in that: Executed by a terminal device, the method includes: receiving first information sent by a network device; The terminal device is in a non-connected state and collects data samples based on the first information.

2. The method according to claim 1, characterized in that The first information includes at least one of the following: Configuration information of measurement reference signals; format information of the data sample; Reporting configuration information of the data sample.

3. The method according to claim 1, characterized in that The method further comprises: Sending second information to the network device, wherein the second information is used to obtain the data collection capability of the terminal device.

4. The method according to claim 3, characterized in that The method further comprises: receiving third information sent by the network device, wherein the third information is used to request the terminal device to obtain the data collection capability; The second information is sent to the network device.

5. The method according to claim 1, characterized in that: The method further comprises: receiving fourth information sent by the network device, where the fourth information is used to request collection of the data sample; Sending fifth information to the network device, wherein the fifth information is used to instruct the terminal device to confirm the collection of the data sample.

6. The method according to claim 1, characterized in that The method further comprises: The first information is received when the terminal device is in a connected state.

7. The method according to claim 1, characterized in that The method further comprises: Sending sixth information to the network device, wherein the sixth information is used to request to enter a non-connected state; Receive the first information sent by the network device.

8. The method according to claim 1, characterized in that The configuration information is used to indicate configuration information for data collection when the terminal device is in a non-connected state.

9. The method according to claim 1, characterized in that: The method further comprises: The data sample is sent to the network device.

10. The method according to claim 9, characterized in that The method further comprises: Report the data samples collected at multiple time points to the network device.

11. The method according to claim 9, characterized in that The method further comprises: The data samples are collected periodically, and / or the data samples are reported periodically, wherein a reporting period of the data samples is greater than or equal to a collection period of the data samples.

12. The method according to claim 9, characterized in that The method further comprises: The data sample is sent to the network device through a configured uplink small data transmission UL SDT mode.

13. The method according to claim 12, characterized in that The method further comprises: Receive seventh information sent by the network device, where the seventh information is used to configure the UL SDT.

14. The method according to claim 13, characterized in that The seventh information includes at least one of the following: The reporting period, reporting resources and data transmission format of the data samples.

15. The method according to claim 9, characterized in that The method further comprises: Determine that the data sample meets the set condition, initiate a random access process to enter a connection state, and send the data sample to the network device.

16. A data collection method, characterized in that: Executed by a network device, the method includes: Sending first information to a terminal device, where the first information is used to collect data samples when the terminal device is in a disconnected state.

17. The method according to claim 16, characterized in that The first information includes at least one of the following: Configuration information of measurement reference signals; format information of the data sample; The reporting configuration information used for data samples.

18. The method according to claim 16, characterized in that The method further comprises: Receive second information sent by the terminal device, wherein the second information is used to indicate the data collection capability of the terminal device.

19. The method according to claim 18, characterized in that The method further comprises: Sending third information to the terminal device, wherein the third information is used to obtain the data collection capability of the terminal device; Receive the second information sent by the terminal device.

20. The method according to claim 16, characterized in that The method further comprises: Sending fourth information to the terminal device, where the fourth information is used to request collection of the data sample; Receive fifth information sent by the terminal device, where the fifth information is used to instruct the terminal device to confirm data collection.

21. The method according to claim 16, characterized in that The method further comprises: The first information is sent to the terminal device in a connected state.

22. The method according to claim 16, characterized in that The method further comprises: receiving sixth information sent by the terminal device, where the sixth information is used to request to enter a non-connected state; Sending the first information to the terminal device.

23. The method according to claim 16, characterized in that The configuration information is used to indicate configuration information for data collection when the terminal device is in a non-connected state.

24. The method according to claim 16, characterized in that The method further comprises: Receive the data sample reported by the terminal device.

25. The method according to claim 24, characterized in that The method further comprises: Report the data samples collected at multiple time points to the network device.

26. The method according to claim 24, characterized in that The reporting period of the data samples is greater than or equal to the collection period of the data samples.

27. The method according to claim 24, characterized in that The method further comprises: The data samples are sent to the network device through a configured uplink small data transmission UL SDT.

28. The method according to claim 27, characterized in that The method further comprises: Send seventh information to the terminal device, where the seventh information is used to configure the UL SDT.

29. The method according to claim 28, characterized in that The seventh information includes at least one of the following: The reporting period, reporting resources and data transmission format of the data samples.

30. The method according to claim 24, characterized in that The method further comprises: Receiving a random access process initiated by the terminal device; The data sample is sent by the terminal device in a connected state.

31. A data collection method, characterized in that: Used in a communication system, the communication system comprising a terminal and a network device, the method comprising: The terminal device receives the first information sent by the network device; The terminal device is in a non-connected state and collects data samples based on the first information.

32. A first communication device, comprising: A first processing module, configured to receive first information sent by a network device; The second processing module is used to collect data samples based on the first information when the terminal device is in a non-connected state.

33. A second communication device, comprising: The sending module is used to send first information to the terminal device, where the first information is used to collect data samples when the terminal device is in a non-connected state.

34. A communication device, characterized in that: include: one or more processors; The processor is used to call instructions so that the communication device executes the data collection method as described in any one of claims 1-15 and 16-30.

35. A communication system, characterized in that: It comprises a terminal and a network device, wherein the terminal is configured to implement the data collection method according to any one of claims 1 to 15, and the network device is configured to implement the data collection method according to any one of claims 16 to 30.

36. A storage medium storing instructions, characterized in that: When the instruction is executed on the communication device, the communication device executes the data collection method as described in any one of claims 1-15 and 16-30.

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