Perception measurement method, execution node, triggering network element, system and medium

Abstract

The invention provides a perception measurement method, an execution node, a triggering network element, a system and a medium, and the method applied to the perception execution node comprises the steps: receiving perception measurement indication information sent by the perception triggering network element, and the perception measurement indication information comprises a perception measurement ID and a perception measurement parameter; returning sensing measurement confirmation information to the sensing triggering network element, wherein the sensing measurement confirmation information comprises a supported sensing measurement ID and a sensing measurement parameter; receiving sensing measurement triggering information sent by the sensing triggering network element, wherein the sensing measurement triggering information comprises a sensing measurement ID needing to be executed and sensing measurement auxiliary information; and performing sensing measurement processing according to the sensing measurement triggering information, and sending a sensing measurement report to the sensing triggering network element. The invention provides a scheme of sensing measurement configuration and sensing data reporting, detailed sensing measurement parameters do not need to be sent when the sensing demand is triggered, the system signaling overhead is effectively saved, and stable system operation can be ensured.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to a perception measurement method, a perception execution node, a perception triggering network element, a communication system and a storage medium. Background Art

[0002] Synaesthesia fusion (or synaesthesia integration) technology refers to the integration of wireless communication and perception functions, so that the wireless communication system has both communication and perception functions. The device actively detects echo / reflection signals while transmitting wireless information, thereby perceiving the physical characteristics of the surrounding environment, and further enhancing the communication and perception functions. The current relevant standards define multiple synaesthesia fusion application scenarios with multiple perception modes, and the requirements for perception measurement configuration and perception data reporting are involved in multiple perception modes. However, the current relevant standards do not define the process of perception measurement configuration and perception data reporting, and in the actual application of perception measurement, the core network element (perception triggering element) generates detailed perception configuration for perception requirements each time and sends it to the access network node (perception execution node), resulting in huge signaling overhead. Summary of the invention

[0003] In view of this, a technical problem to be solved by the present invention is to provide a perception measurement method, a perception execution node, a perception triggering network element, a communication system and a storage medium.

[0004] According to a first aspect of the present disclosure, a perception measurement method is provided, which is applied to a perception execution node, including: receiving perception measurement indication information sent by a perception triggering network element; wherein the perception measurement indication information includes: a perception measurement ID and a perception measurement parameter corresponding to the perception measurement ID; returning perception measurement confirmation information to the perception triggering network element; wherein the perception measurement confirmation information includes: a perception measurement ID supported by the perception execution node and the corresponding perception measurement parameter; receiving perception measurement triggering information sent by the perception triggering network element; wherein the perception measurement triggering information includes: a perception measurement ID to be executed and perception measurement auxiliary information; performing perception measurement processing according to the perception measurement triggering information, and sending a perception measurement report to the perception triggering network element.

[0005] Optionally, the perception measurement auxiliary information includes at least one of the following information: perception mode, reporting type and reporting period information.

[0006] Optionally, the performing the perception measurement processing according to the perception measurement triggering information includes: determining an execution device that performs the perception measurement according to the perception mode; and controlling the execution device to perform the perception measurement processing based on the perception measurement ID that needs to be performed.

[0007] Optionally, the execution device is the perception execution node; and controlling the execution device to perform perception measurement processing based on the perception measurement ID that needs to be executed includes: acquiring a perception measurement parameter corresponding to the perception measurement ID that needs to be executed, and performing perception measurement processing based on the perception measurement parameter.

[0008] Optionally, sending the perception measurement report to the perception trigger network element includes: obtaining the result of performing perception measurement processing according to the reporting type and / or the reporting period, generating the perception measurement report and sending it to the perception trigger network element; sending the perception measurement report to the perception trigger network element according to the reporting type, or and the reporting period.

[0009] Optionally, the execution device is a terminal; and controlling the execution device to perform perception measurement processing based on the perception measurement ID that needs to be executed includes: obtaining a perception measurement parameter corresponding to the perception measurement ID that needs to be executed and sending it to the terminal, so that the terminal performs perception measurement processing based on the perception measurement parameter.

[0010] Optionally, the signaling used to send the perception measurement parameter to the terminal includes: radio resource control RRC signaling.

[0011] Optionally, the sending the perception measurement report to the perception triggering network element includes: acquiring the perception measurement report generated by the terminal according to the reporting type and / or the reporting period, and sending the perception measurement report to the perception triggering network element.

[0012] Optionally, the perception measurement parameters include: at least one of reference signal measurement parameters, reflection channel measurement parameters, delay measurement parameters, environmental information measurement parameters, and custom measurement parameters; wherein one perception measurement ID corresponds to at least one perception measurement parameter.

[0013] According to a second aspect of the present disclosure, a perception measurement method is provided, which is applied to a perception triggering network element, including: sending perception measurement indication information to a perception execution node; wherein the perception measurement indication information includes: a perception measurement ID and a perception measurement parameter corresponding to the perception measurement ID; receiving perception measurement confirmation information returned by the perception execution node; wherein the perception measurement confirmation information includes: a perception measurement ID supported by the perception execution node and the corresponding perception measurement parameter; sending perception measurement triggering information to the perception execution node; wherein the perception measurement triggering information includes: a perception measurement ID to be executed and perception measurement auxiliary information; and receiving a perception measurement report sent by the perception execution node.

[0014] Optionally, the perception measurement parameters include: at least one of reference signal measurement parameters, reflection channel measurement parameters, delay measurement parameters, environmental information measurement parameters, and custom measurement parameters; wherein one perception measurement ID corresponds to at least one perception measurement parameter.

[0015] According to a third aspect of the present disclosure, a perception execution node is provided, including: a configuration receiving module, used to receive perception measurement indication information sent by a perception triggering network element; wherein the perception measurement indication information includes: a perception measurement ID and a perception measurement parameter corresponding to the perception measurement ID; a configuration confirmation module, used to return perception measurement confirmation information to the perception triggering network element; wherein the perception measurement confirmation information includes: a perception measurement ID supported by the perception execution node and the corresponding perception measurement parameter; a trigger receiving module, used to receive perception measurement trigger information sent by the perception triggering network element; wherein the perception measurement trigger information includes: a perception measurement ID to be executed and perception measurement auxiliary information; a perception execution module, used to perform perception measurement processing according to the perception measurement triggering information, and send a perception measurement report to the perception triggering network element.

[0016] Optionally, the perception measurement auxiliary information includes: perception mode, reporting type and reporting period information.

[0017] Optionally, the perception execution module is used to determine an execution device that performs perception measurement according to the perception mode; and control the execution device to perform perception measurement processing based on the perception measurement ID that needs to be executed.

[0018] Optionally, the execution device is the perception execution node; the perception execution module includes: a first execution unit, used to obtain a perception measurement parameter corresponding to the perception measurement ID that needs to be executed, and perform perception measurement processing based on the perception measurement parameter.

[0019] Optionally, the first execution unit is used to obtain the result of performing perception measurement processing according to the reporting type and / or the reporting period, generate the perception measurement report and send it to the perception triggering network element.

[0020] Optionally, the execution device is a terminal; the perception execution module includes: a second execution unit, used to obtain a perception measurement parameter corresponding to the perception measurement ID to be executed and send it to the terminal, so that the terminal performs perception measurement processing based on the perception measurement parameter.

[0021] Optionally, the signaling used to send the perception measurement parameter to the terminal includes: RRC signaling.

[0022] Optionally, the second execution unit is used to obtain the perception measurement report generated by the terminal according to the reporting type and / or the reporting period, and send it to the perception triggering network element.

[0023] According to a fourth aspect of the present disclosure, a perception execution node is provided, comprising: a memory; and a processor coupled to the memory, wherein the processor is configured to execute the method as described above based on instructions stored in the memory.

[0024] According to a fifth aspect of the present disclosure, a perception triggering network element is provided, including: a configuration sending module, used to send perception measurement indication information to a perception execution node; wherein the perception measurement indication information includes: a perception measurement ID and a perception measurement parameter corresponding to the perception measurement ID; a confirmation receiving module, used to receive the perception measurement confirmation information returned by the perception execution node; wherein the perception measurement confirmation information includes: the perception measurement ID supported by the perception execution node and the corresponding perception measurement parameter; a trigger sending module, used to send perception measurement triggering information to the perception execution node; wherein the perception measurement triggering information includes: the perception measurement ID to be executed and perception measurement auxiliary information; a report receiving module, used to receive the perception measurement report sent by the perception execution node.

[0025] According to a sixth aspect of the present disclosure, a perception-triggered network element is provided, comprising: a memory; and a processor coupled to the memory, wherein the processor is configured to execute the method as described above based on instructions stored in the memory.

[0026] According to a seventh aspect of the present disclosure, a communication system is provided, comprising: the perception execution node as described above, and the perception triggering network element as described above.

[0027] According to an eighth aspect of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the instructions are executed by a processor as described above.

[0028] The perception measurement method, perception execution node, perception trigger network element, communication system and storage medium disclosed in the present invention propose a scheme for perception measurement configuration and perception data reporting. The perception trigger network element and the perception execution node can interact with each other in advance about perception measurement capabilities, and determine information such as the perception measurement ID and corresponding perception measurement parameters supported by the perception execution node. When a perception requirement is triggered, the perception trigger network element only sends the perception measurement ID that needs to be performed for the perception measurement to the corresponding perception execution node, and does not need to send detailed perception measurement parameters. The perception execution node performs relevant perception measurements according to the perception measurement ID and feeds back the perception measurement results to the perception trigger network element, which effectively saves system signaling overhead and can ensure stable system operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0030] Figure 1 is a flow chart of an embodiment of a perception measurement method according to the present disclosure;

[0031] Figure 2 A schematic diagram of a flow chart of performing a perception measurement process in an embodiment of a perception measurement method according to the present disclosure;

[0032] Figure 3A-Figure 3F is a schematic diagram of the perception mode;

[0033] Figure 4 is an application schematic diagram of an embodiment of the perception measurement method according to the present disclosure;

[0034] Figure 5 is a flow chart of another embodiment of the perception measurement method according to the present disclosure;

[0035] Fig. 6A A schematic diagram of a module of an embodiment of a perception execution node according to the present disclosure;

[0036] Figure 6B is a module schematic diagram of a perception execution module in one embodiment of a perception execution node according to the present disclosure;

[0037] Figure 7 It is a module diagram of another embodiment of a perception execution node according to the present disclosure;

[0038] Figure 8 A schematic diagram of modules of an embodiment of a perception triggering network element according to the present disclosure;

[0039] Fig. 9 A module diagram of another embodiment of a perception-triggered network element according to the present disclosure. DETAILED DESCRIPTION

[0040] Exemplary embodiments of the present disclosure will be described below in conjunction with the accompanying drawings. For the sake of clarity and conciseness, not all features of the embodiments are described in the specification. However, it should be understood that many implementation-specific settings must be made in the process of implementing the embodiments in order to achieve the specific goals of the developer, for example, to meet those restrictions related to the device and the service, and these restrictions may vary depending on the implementation. In addition, it should be understood that although the development work may be very complex and time-consuming, it is only a routine task for those skilled in the art who benefit from the content of this disclosure.

[0041] It should be noted that the relative arrangement of components and steps, the numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.

[0042] Those skilled in the art can understand that the terms "first" and "second" in the embodiments of the present disclosure are only used to distinguish different steps, devices or modules, etc., and neither represent any specific technical meaning nor indicate the necessary logical order between them.

[0043] It should also be understood that in the embodiments of the present disclosure, “plurality” may refer to two or more than two, and “at least one” may refer to one, two, or more than two.

[0044] It should also be understood that any component, data or structure mentioned in the embodiments of the present disclosure can generally be understood as one or more, unless explicitly limited or otherwise indicated in the context.

[0045] In addition, the term "and / or" in the present disclosure is only a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in the present disclosure generally indicates that the associated objects before and after are in an "or" relationship.

[0046] It should also be understood that the description of the various embodiments in the present disclosure focuses on the differences between the various embodiments, and the same or similar aspects thereof can be referenced to each other, and for the sake of brevity, they will not be described one by one.

[0047] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0048] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the present disclosure, its application, or uses.

[0049] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered as part of the specification.

[0050] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0051] In addition, in order to avoid obscuring the present disclosure due to unnecessary details, only the processing steps and / or device structures closely related to at least the scheme according to the present disclosure are shown in the drawings, and other details that are not closely related to the present disclosure are omitted. It should also be noted that similar reference numerals and letters in the drawings indicate similar items, and therefore once an item is defined in one drawing, it does not need to be discussed again for subsequent drawings.

[0052] Among the related technologies known to the inventors, the wireless communication spectrum of B5G (Beyond 5G) and 6G (sixth-generation mobile communication technology) systems is developing towards higher frequency bands such as millimeter waves and terahertz. From the perspective of the spectrum, B5G and 6G have more and more overlaps with the frequency bands of traditional radars (i.e., perception). Therefore, achieving communication and perception in the same frequency band and avoiding mutual interference can effectively improve the spectrum utilization of the wireless system.

[0053] The communication and perception functions of B5G and 6G systems are showing more and more similarities in terms of system design, signal processing and data processing. The integration of communication and perception is an important direction for the evolution of B5G and 6G technologies. The current relevant standards define multiple interawareness fusion application scenarios and multiple perception modes, which involve the needs of perception measurement configuration and perception data reporting in multiple perception modes; however, the current relevant standards do not define the process of perception measurement configuration and perception data reporting. In addition, in the actual application of perception measurement, the core network element (perception triggering element) needs to generate detailed perception configuration for perception requirements each time and send it to the access network node (perception execution node), which generates huge signaling overhead.

[0054] Figure 1 is a flow chart of an embodiment of a perception measurement method according to the present disclosure. The perception measurement method is applied to a perception execution node, such as Figure 1 As shown:

[0055] Step 101: receiving perception measurement indication information sent by a perception triggering network element. The perception measurement indication information includes information such as a perception measurement ID and a perception measurement parameter corresponding to the perception measurement ID.

[0056] In one embodiment, the perception triggering network element can be a variety of network elements, such as access and mobility management function (AMF), location based services (LBS) and other core network elements that have the need to obtain perception data. The perception execution node can be a variety of devices, such as base stations (such as LTE / NR / 6G base stations, etc.), millimeter wave base stations, road side units (Road Side Unite), network relay equipment, drones, aerial base stations, etc.

[0057] Step 102: Return the perception measurement confirmation information to the perception triggering network element. The perception measurement confirmation information includes the perception measurement ID supported by the perception execution node and the corresponding perception measurement parameters and other information.

[0058] In one embodiment, the perception execution node stores information such as the perception measurement ID sent by the perception triggering network element and the perception measurement parameters corresponding to the perception measurement ID, or the perception execution node stores information such as the perception measurement ID supported by the perception execution node and the corresponding perception measurement parameters.

[0059] Step 103: Receive the perception measurement trigger information sent by the perception trigger network element. The perception measurement trigger information includes the perception measurement ID to be executed and the perception measurement auxiliary information.

[0060] In one embodiment, the perception triggering network element determines the perception measurement ID to be executed based on the perception measurement ID supported by the perception execution node and the corresponding perception measurement parameters and other information, and in combination with the perception measurement requirements. The perception measurement ID to be executed may be the perception measurement ID supported by the perception execution node. The perception measurement parameters supported by the perception execution node and corresponding to the perception measurement ID to be executed may meet the perception measurement requirements and may be pre-stored on the perception execution node.

[0061] Step 104: Perform perception measurement processing according to the perception measurement trigger information, and send a perception measurement report to the perception triggering network element.

[0062] In actual perception application scenarios, there is a certain degree of overlap in the perception data required by different scenarios. For example, scenarios such as smart factories, intelligent transportation, and drone supervision all require the positioning and tracking of target objects. Therefore, the perception measurement parameters with high overlap can be designed as a set of parameters and distinguished in the form of perception measurement IDs, thereby helping the network to configure perception measurements and collect perception data on demand for different perception use cases more concisely and efficiently.

[0063] In the perception measurement method in the above embodiment, the perception triggering network element and the perception execution node can interact with each other in advance about the perception measurement capability, determine the perception measurement ID and corresponding perception measurement parameters supported by the perception execution node and other information; when the perception requirement is triggered, the perception triggering network element only sends the perception measurement ID that needs to be executed for the perception measurement to the corresponding perception execution node, and there is no need to send detailed perception measurement parameters; the perception execution node performs relevant perception measurements according to the perception measurement ID and feeds back the perception measurement results to the perception triggering network element.

[0064] In one embodiment, the perception measurement parameter may be a plurality of parameters, for example, the perception measurement parameter includes at least one of a reference signal measurement parameter, a reflection channel measurement parameter, a delay measurement parameter, an environmental information measurement parameter, a custom measurement parameter, etc. One perception measurement ID corresponds to at least one perception measurement parameter.

[0065] For example, the perception measurement ID includes perception measurement ID 1 to perception measurement ID 5. The perception measurement parameter corresponding to perception measurement ID 1 is a reference signal measurement parameter, and the reference signal measurement parameter includes at least one of the following measurement parameters: reference signal received power RSRP (Reference Signal Receiving Power), such as SS-RSRP, CSI-RSRP, etc.; reference signal received signal strength indication RSSI (Received Signal Strength Indicator), such as SS-RSRQ, CSI-RSRQ, etc.; reference signal signal to noise ratio SNIR (Signal to Noise plus Interference powerRatio), such as SS-SINR, CSI-SINR, etc.; reference signal arrival angle AoA (Angle of Arrival); reference signal departure angle AoD (Angle of Departure), etc.

[0066] The perception measurement parameter corresponding to the perception measurement ID 2 is the reflection channel measurement parameter, which includes at least one of the following measurement parameters: channel state information CSI, channel Doppler frequency shift, channel Doppler spread, channel multipath frequency deviation, channel multipath angle, channel multipath delay, etc. The perception measurement parameter corresponding to the perception measurement ID 3 is the delay measurement parameter, which includes at least one of the following measurement parameters: multi-antenna reception delay, multi-signal arrival delay, timing advance information, etc.

[0067] The perception measurement parameter corresponding to the perception measurement ID 4 is the environmental information measurement parameter, which includes at least one of the following measurement parameters: air particle concentration, temperature, humidity, brightness, atmospheric pressure, altitude, etc. The perception measurement parameter corresponding to the perception measurement ID 5 is other measurement parameters, which may be custom measurement parameters, etc.

[0068] In an embodiment, the sensing measurement assistance information may include multiple types of information, for example, at least one of the following information: sensing mode, reporting type, and reporting period information. Figure 2 FIG. 1 is a flow chart of performing a perception measurement process in an embodiment of a perception measurement method according to the present disclosure. The perception measurement method is applied to a perception execution node, such as Figure 2 As shown:

[0069] Step 201: Determine an execution device for executing perception measurement according to a perception mode.

[0070] In one embodiment, the execution device may be a perception execution node, a terminal, etc. The perception mode may be multiple modes. Six perception modes are defined in the existing standards, such as Figures 3A to 3F As shown: Figure 3A Mode 1: base station self-transmitting and self-receiving mode; Figure 3B Mode 2: Base station A sends and B receives; Figure 3C Mode 3: base station sends and terminal receives; Figure 3D Mode 4: terminal sends and base station receives; Figure 3E Mode 5: Terminal self-transmitting and self-receiving mode; Figure 3F Mode six: Terminal A sends and B receives.

[0071] The sensing mode in the sensing measurement auxiliary information may be at least one of mode 1 to mode 6. When the sensing mode is mode 1, mode 2, and mode 4, the sensing execution node determines that the execution device is a sensing execution node. When the sensing mode is mode 3, mode 5, and mode 6, the sensing execution node determines that the execution device is a terminal. The terminal may be of multiple types, such as a mobile phone, a detection device, and the like.

[0072] Step 202: Control an execution device to execute a perception measurement process based on the perception measurement ID to be executed.

[0073] In the case where the perception measurement auxiliary information only includes the perception mode, the perception execution node uses a default method to send the perception measurement report to the perception triggering network element after controlling the execution device to perform the perception measurement processing according to the perception measurement ID to be executed as needed. The default method may be to perform a single measurement and return a perception measurement report, etc.

[0074] In one embodiment, the reporting type in the perception measurement auxiliary information may be one-time / on-demand reporting or periodic reporting, and the reporting period in the perception measurement auxiliary information may be 120ms, 240ms, 480ms, 640ms, 1024ms, 2048ms, etc.

[0075] In the case where the execution device is a perception execution node, the perception execution node obtains a perception measurement parameter corresponding to the perception measurement ID to be executed, and performs perception measurement processing based on the perception measurement parameter, and the perception measurement parameter may be a perception measurement parameter supported by the perception execution node. The perception execution node may obtain a result of performing the perception measurement processing according to a reporting type and / or a reporting period, generate a perception measurement report, and send the report to the perception triggering network element.

[0076] For example, the perception measurement auxiliary information may include a reporting type but not a reporting period. When the reporting type is a single report, the perception execution node performs a perception measurement process once, obtains the result of the perception measurement process, generates a perception measurement report, and sends it to the perception triggering network element. When the reporting type is a periodic report, the perception execution node will periodically perform the perception measurement process at a default time interval, obtain the result of the perception measurement process, generate a perception measurement report, and send it to the perception triggering network element.

[0077] The perception measurement auxiliary information may include a reporting period but not a reporting type. The perception execution node will periodically collect the perception measurement report according to the reporting period and send it to the perception triggering network element. The perception measurement auxiliary information may include a reporting type and a reporting period. In this case, the reporting type can only be periodic reporting. The perception execution node will periodically perform perception measurement processing according to the reporting period, obtain the result of performing the perception measurement processing, generate a perception measurement report and send it to the perception triggering network element.

[0078] In the case where the execution device is a terminal, the perception execution node obtains the perception measurement parameter corresponding to the perception measurement ID to be executed and sends it to the terminal, so that the terminal performs the perception measurement processing based on the perception measurement parameter. The perception execution node can use a variety of signaling to send the perception measurement parameter to the terminal, such as RRC (Radio Resource Control) signaling. The perception execution node obtains the perception measurement report generated by the terminal according to the reporting type and / or reporting period, and sends it to the perception triggering network element.

[0079] For example, the perception measurement auxiliary information may include a reporting type but not a reporting period. When the reporting type is a single report, the perception execution node configures the terminal so that the terminal performs a perception measurement process once, and the perception execution node obtains the perception measurement report generated by the terminal and sends it to the perception triggering network element. When the reporting type is a periodic report, the perception execution node configures the terminal so that the terminal periodically performs the perception measurement process at a default time interval. The perception execution node periodically obtains the perception measurement report generated by the terminal at a default time interval and sends it to the perception triggering network element.

[0080] The perception measurement auxiliary information may include a reporting period, but not a reporting type. The perception execution node configures the terminal so that the terminal periodically performs perception measurement processing according to the reporting period. The perception execution node periodically obtains the perception measurement report generated by the terminal according to the reporting period, and sends it to the perception triggering network element.

[0081] The perception measurement auxiliary information may include a reporting type and a reporting period. In this case, the reporting type can only be periodic reporting. The perception execution node will configure the terminal so that the terminal periodically performs perception measurement processing according to the reporting period. The perception execution node periodically obtains the perception measurement report generated by the terminal according to the reporting period and sends it to the perception triggering network element.

[0082] Figure 4 FIG. 1 is a schematic diagram of an application of an embodiment of the perception measurement method according to the present disclosure, as shown in FIG. Figure 4 As shown:

[0083] Step 401: A perception triggering network element (core network element) sends a first signaling to a perception execution node (access network node). The information carried by the first signaling includes perception measurement indication information, the perception measurement indication information includes one or more perception measurement IDs and perception measurement parameters corresponding to the perception measurement IDs, and the perception measurement parameters include: at least one of reference signal measurement parameters, reflection channel measurement parameters, delay measurement parameters, environmental information measurement parameters, and custom measurement parameters. The first signaling can be multiple signalings such as N2 signaling.

[0084] For example, the information carried by the first signaling includes perception measurement ID 1 and perception measurement ID 2, as well as reference signal measurement parameters corresponding to perception measurement ID 1 and reflection channel measurement parameters corresponding to perception measurement ID 2, etc.

[0085] Step 402: The sensing execution node feeds back a second signaling to the sensing triggering network element. The information carried in the second signaling includes sensing measurement confirmation information, and the sensing measurement confirmation information includes one or more sensing measurement IDs supported by the sensing execution node and corresponding sensing measurement parameters. The second signaling can be multiple signalings such as N2 signaling.

[0086] For example, the information carried by the second signaling includes the perception measurement ID 1 supported by the perception execution node and one or more measurement parameters of the reference signal measurement parameters corresponding to the perception measurement ID 1 supported by the perception execution node.

[0087] Step 403: The sensing triggering network element sends the sensing measurement triggering information to the sensing execution node through the third signaling to trigger the sensing measurement process. The sensing measurement triggering information includes the sensing measurement ID to be executed and the sensing measurement auxiliary information. The sensing triggering network element can determine the sensing measurement ID to be executed based on the sensing measurement ID supported by the sensing execution node fed back by the sensing execution node.

[0088] The perception measurement auxiliary information includes at least one of the following information: perception mode, reporting type, and reporting period. The third signaling may be multiple signalings such as N2 signaling. For example, the information carried by the third signaling includes perception measurement ID1, mode 1 (perception mode), single reporting (reporting type), and other information.

[0089] Step 404: When the perception execution node identifies that the execution device is a perception execution node according to the perception mode, the perception execution node performs relevant measurements based on the perception measurement ID and generates a perception measurement report.

[0090] Step 405: The sensing execution node feeds back the sensing measurement report to the sensing triggering network element through a fourth signaling according to the reporting type. The fourth signaling may be a variety of signaling such as N2 signaling.

[0091] Step 406: The sensing triggering network element analyzes and processes the sensing data in the sensing measurement report to obtain a sensing result.

[0092] Step 407: The sensing triggering network element sends the sensing measurement ID and sensing measurement auxiliary information to be executed to the sensing execution node again through the third signaling to trigger the sensing measurement process. For example, the information carried by the third signaling includes sensing measurement ID 1, mode 3 (sensing mode), single reporting and other information.

[0093] Step 408: When the perception execution node identifies that the execution device of this perception is a terminal according to the perception mode, the perception execution node obtains the perception measurement parameters corresponding to the perception measurement ID to be executed and generates configuration information.

[0094] Step 409: The perception execution node sends the configuration information to the corresponding terminal through RRC signaling to perform perception measurement.

[0095] Step 410: The terminal performs measurement according to the perception measurement and reports a perception measurement report.

[0096] Step 411: The sensing execution node feeds back the sensing measurement report to the sensing triggering network element through a fourth signaling.

[0097] Step 412: The sensing triggering network element analyzes and processes the sensing data in the sensing measurement report to obtain a sensing result.

[0098] In the perception measurement method in the above embodiment, the perception triggering network element and the perception execution node can interact with each other in advance about the perception measurement capability, determine the perception measurement ID and corresponding perception measurement parameters supported by the perception execution node and other information; when the perception demand is triggered, the perception triggering network element only sends the perception measurement ID that needs to be performed for the perception measurement to the corresponding perception execution node, and there is no need to send detailed perception measurement parameters; the perception execution node performs relevant perception measurements according to the perception measurement ID and feeds back the perception measurement results to the perception triggering network element, and there is no need to generate and issue detailed measurement configurations for each perception demand, thereby effectively saving system signaling overhead.

[0099] Figure 5 is a flow chart of another embodiment of a perception measurement method according to the present disclosure, wherein the perception measurement method is applied to a perception triggering network element, such as Figure 5 As shown:

[0100] Step 501: Send perception measurement indication information to a perception execution node. The perception measurement indication information includes a perception measurement ID and a perception measurement parameter corresponding to the perception measurement ID.

[0101] Step 502: Receive the sensing measurement confirmation information returned by the sensing execution node. The sensing measurement confirmation information includes the sensing measurement ID supported by the sensing execution node and the corresponding sensing measurement parameters.

[0102] Step 503: Sending sensing measurement trigger information to the sensing execution node. The sensing measurement trigger information includes the sensing measurement ID to be executed and sensing measurement auxiliary information.

[0103] Step 504: Receive a perception measurement report sent by a perception execution node.

[0104] The perception measurement method disclosed in the present invention proposes a process scheme for perception measurement configuration and perception data reporting for the interawareness fusion scenario of B5G and 6G communication systems. The perception triggering network element and the perception execution node can interact with each other in advance about the perception measurement capabilities, and determine the perception measurement ID and corresponding perception measurement parameters supported by the perception execution node and other information. When a perception requirement is triggered, the perception triggering network element only sends the perception measurement ID that needs to be executed for the perception measurement to the corresponding perception execution node, without sending detailed perception measurement parameters. The perception execution node executes relevant perception measurements according to the perception measurement ID and feeds back the perception measurement results to the perception triggering network element. Since it is not necessary to generate and issue a detailed measurement configuration for each perception requirement, the system signaling overhead is effectively saved.

[0105] The perception measurement method disclosed in the present invention is applicable to a variety of perception modes, and the perception measurement configuration is scalable and can be applied to various B5G and 6G synaesthesia use cases, thereby effectively promoting the deep integration of wireless communication and perception. It can be applicable to all types of perception use cases triggered by core network elements, is compatible with existing systems, and has backward compatibility. It can reuse the existing 3GPP network architecture and existing signaling implementation, and can also be deployed in new perception network elements, with system compatibility and backward compatibility.

[0106] In one embodiment, Fig. 6A As shown, the present disclosure provides a perception execution node 60, including: a configuration receiving module 61, a configuration confirmation module 62, a trigger receiving module 63 and a perception execution module 64. The configuration receiving module 61 receives perception measurement indication information sent by a perception triggering network element, and the perception measurement indication information includes a perception measurement ID and a perception measurement parameter corresponding to the perception measurement ID.

[0107] The configuration confirmation module 62 returns the perception measurement confirmation information to the perception triggering network element, and the perception measurement confirmation information includes the perception measurement ID supported by the perception execution node and the corresponding perception measurement parameters, etc. The trigger receiving module 63 receives the perception measurement trigger information sent by the perception triggering network element, and the perception measurement trigger information includes the perception measurement ID to be executed and the perception measurement auxiliary information, etc. The perception execution module 64 performs the perception measurement processing according to the perception measurement trigger information, and sends the perception measurement report to the perception triggering network element.

[0108] In one embodiment, the sensing measurement auxiliary information includes at least one of sensing mode, reporting type and reporting period information. The sensing execution module 64 determines the execution device for performing the sensing measurement according to the sensing mode, and controls the execution device to perform the sensing measurement process based on the sensing measurement ID to be executed.

[0109] like Figure 6BAs shown, the perception execution module 64 includes a first execution unit 641 and a second execution unit 642. When the execution device is a perception execution node, the first execution unit 641 obtains a perception measurement parameter corresponding to the perception measurement ID to be executed, and performs perception measurement processing based on the perception measurement parameter. The first execution unit 641 obtains the result of performing the perception measurement processing according to the reporting type and / or reporting period, generates a perception measurement report, and sends it to the perception triggering network element.

[0110] When the execution device is a terminal, the second execution unit 642 obtains the perception measurement parameter corresponding to the perception measurement ID to be executed and sends it to the terminal, so that the terminal performs the perception measurement processing based on the perception measurement parameter. The second execution unit 642 obtains the perception measurement report generated by the terminal according to the reporting type and / or reporting period, and sends it to the perception triggering network element.

[0111] In one embodiment, Figure 7 As shown, the present disclosure provides a perception execution node, which may include a memory 72, a processor 71, a communication interface 73, and a bus 74. The memory 72 is used to store instructions, the processor 71 is coupled to the memory 72, and the processor 71 is configured to execute the above-mentioned perception measurement method applied to the perception execution node based on the instructions stored in the memory 72.

[0112] The memory 72 may be a high-speed RAM memory, a non-volatile memory, etc., and the memory 72 may also be a memory array. The memory 72 may also be divided into blocks, and the blocks may be combined into virtual volumes according to certain rules. The processor 71 may be a central processing unit CPU, or an application specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the perception measurement method applied to the perception execution node of the present disclosure.

[0113] In one embodiment, Figure 8 As shown, the present disclosure provides a perception triggering network element 80, including a configuration sending module 81, a confirmation receiving module 82, a trigger sending module 83 and a report receiving module 84. The configuration sending module 81 sends perception measurement indication information to the perception execution node, and the perception measurement indication information includes a perception measurement ID and a perception measurement parameter corresponding to the perception measurement ID.

[0114] The confirmation receiving module 82 receives the perception measurement confirmation information returned by the perception execution node, and the perception measurement confirmation information includes the perception measurement ID supported by the perception execution node and the corresponding perception measurement parameters, etc. The trigger sending module 83 sends the perception measurement trigger information to the perception execution node, and the perception measurement trigger information includes the perception measurement ID to be executed and the perception measurement auxiliary information, etc. The report receiving module 84 receives the perception measurement report sent by the perception execution node.

[0115] In one embodiment, Fig. 9 As shown, the present disclosure provides a perception triggering network element, which may include a memory 92, a processor 91, a communication interface 93, and a bus 94. The memory 92 is used to store instructions, the processor 91 is coupled to the memory 92, and the processor 91 is configured to execute the above-mentioned perception measurement method applied to the perception triggering network element based on the instructions stored in the memory 92.

[0116] The memory 92 may be a high-speed RAM memory, a non-volatile memory, etc., and the memory 92 may also be a memory array. The memory 92 may also be divided into blocks, and the blocks may be combined into virtual volumes according to certain rules. The processor 91 may be a central processing unit CPU, or an application specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the perception measurement method for a perception triggering network element of the present disclosure.

[0117] In one embodiment, the present disclosure provides a communication system, including: a perception execution node as in any of the above embodiments, and a perception triggering network element as in any of the above embodiments. The communication system may be a communication system such as B5G and 6G.

[0118] In one embodiment, the present disclosure provides a computer-readable storage medium storing computer instructions, and the instructions are executed by a processor to execute the method in any embodiment.

[0119] The perception measurement method, perception execution node, perception trigger network element, communication system and storage medium in the above embodiments propose a scheme for perception measurement configuration and perception data reporting for the interaural fusion scenario of B5G and 6G communication systems. The perception trigger network element and the perception execution node can interact with each other in advance about the perception measurement capabilities, and determine the perception measurement ID and corresponding perception measurement parameters supported by the perception execution node and other information; when the perception demand is triggered, the perception trigger network element only sends the perception measurement ID that needs to be executed for the perception measurement to the corresponding perception execution node, and there is no need to send detailed perception measurement parameters; the perception execution node performs relevant perception measurements according to the perception measurement ID and feeds back the perception measurement results to the perception trigger network element, and there is no need to generate and issue detailed measurement configurations for each perception demand, thereby effectively saving system signaling overhead, having good applicability and robustness, and being able to ensure stable system operation, effectively promoting the deep integration of wireless communication and perception.

[0120] Many ways can be used to implement the method and system of the present disclosure. For example, the method and system of the present disclosure can be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above order of steps for the method is only for illustration, and the steps of the method of the present disclosure are not limited to the order specifically described above, unless otherwise specifically stated. In addition, in some embodiments, the present disclosure can also be implemented as a program recorded in a recording medium, which includes machine-readable instructions for implementing the method according to the present disclosure. Therefore, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.

[0121] The description of the present disclosure is given for the purpose of illustration and description, and is not intended to be exhaustive or to limit the present disclosure to the disclosed form. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present disclosure, and to enable those of ordinary skill in the art to understand the present disclosure and thereby design various embodiments with various modifications suitable for specific uses.

Claims

1. A perception measurement method, applied to a perception execution node, comprising: Receiving perception measurement indication information sent by a perception triggering network element; wherein the perception measurement indication information includes: a perception measurement ID and a perception measurement parameter corresponding to the perception measurement ID; Returning perception measurement confirmation information to the perception triggering network element; wherein the perception measurement confirmation information includes: a perception measurement ID supported by the perception execution node and corresponding perception measurement parameters; Receiving the perception measurement trigger information sent by the perception trigger network element; wherein the perception measurement trigger information includes: the perception measurement ID to be performed and the perception measurement auxiliary information; Perform perception measurement processing according to the perception measurement triggering information, and send a perception measurement report to the perception triggering network element.

2. The method of claim 1, wherein: The perception measurement auxiliary information includes at least one of the following information: perception mode, reporting type and reporting period information.

3. The method of claim 2, wherein: The performing the perception measurement process according to the perception measurement triggering information includes: Determining an execution device for executing the perception measurement according to the perception mode; The execution device is controlled to execute the perception measurement process based on the perception measurement ID that needs to be executed.

4. The method of claim 3, wherein: The execution device is the perception execution node; and the controlling the execution device to perform the perception measurement processing based on the perception measurement ID to be performed includes: Acquire a perception measurement parameter corresponding to the perception measurement ID that needs to be performed, and perform perception measurement processing based on the perception measurement parameter.

5. The method of claim 4, wherein: The sending the perception measurement report to the perception triggering network element comprises: The result of performing the perception measurement processing is obtained according to the reporting type and / or the reporting period, and the perception measurement report is generated and sent to the perception triggering network element.

6. The method of claim 3, wherein: The execution device is a terminal; and the controlling the execution device to perform the perception measurement process based on the perception measurement ID to be performed includes: A perception measurement parameter corresponding to the perception measurement ID to be performed is acquired and sent to the terminal, so that the terminal performs a perception measurement process based on the perception measurement parameter.

7. The method of claim 6, wherein: The signaling used to send the perception measurement parameter to the terminal includes: radio resource control RRC signaling.

8. The method according to claim 6, wherein the sending the perception measurement report to the perception triggering network element comprises: The perception measurement report generated by the terminal is acquired according to the reporting type and / or the reporting period, and sent to the perception triggering network element.

9. The method according to any one of claims 1 to 8, wherein: The perception measurement parameters include: at least one of reference signal measurement parameters, reflection channel measurement parameters, delay measurement parameters, environmental information measurement parameters, and custom measurement parameters; wherein one perception measurement ID corresponds to at least one perception measurement parameter.

10. A perception measurement method, applied to a perception triggering network element, comprising: Sending perception measurement indication information to the perception execution node; wherein the perception measurement indication information includes: a perception measurement ID and a perception measurement parameter corresponding to the perception measurement ID; Receiving the perception measurement confirmation information returned by the perception execution node; wherein the perception measurement confirmation information includes: the perception measurement ID supported by the perception execution node and the corresponding perception measurement parameters; Sending perception measurement trigger information to the perception execution node; wherein the perception measurement trigger information includes: a perception measurement ID to be executed and perception measurement auxiliary information; Receive the perception measurement report sent by the perception execution node.

11. The method of claim 10, wherein: The perception measurement parameters include: at least one of reference signal measurement parameters, reflection channel measurement parameters, delay measurement parameters, environmental information measurement parameters, and custom measurement parameters; wherein one perception measurement ID corresponds to at least one perception measurement parameter.

12. A perception execution node, comprising: A receiving module is configured to receive perception measurement indication information sent by a perception triggering network element; wherein the perception measurement indication information includes: a perception measurement ID and a perception measurement parameter corresponding to the perception measurement ID; A configuration confirmation module is used to return perception measurement confirmation information to the perception triggering network element; wherein the perception measurement confirmation information includes: a perception measurement ID supported by the perception execution node and a corresponding perception measurement parameter; A trigger receiving module, configured to receive the perception measurement trigger information sent by the perception trigger network element; wherein the perception measurement trigger information includes: a perception measurement ID to be executed and perception measurement auxiliary information; The perception execution module is used to perform perception measurement processing according to the perception measurement triggering information and send a perception measurement report to the perception triggering network element.

13. The perception execution node according to claim 12, wherein: The perception measurement auxiliary information includes: perception mode, reporting type and reporting period information.

14. The perception execution node according to claim 13, wherein: The sensing execution module is used to determine an execution device for performing sensing measurement according to the sensing mode; The execution device is controlled to execute the perception measurement process based on the perception measurement ID that needs to be executed.

15. The perception execution node according to claim 14, wherein: The execution device is the perception execution node; The perception execution module includes: The first execution unit is configured to obtain a perception measurement parameter corresponding to the perception measurement ID to be executed, and execute a perception measurement process based on the perception measurement parameter.

16. The perception execution node according to claim 15, wherein: The first execution unit is used to obtain the result of performing perception measurement processing according to the reporting type and / or the reporting period, generate the perception measurement report and send it to the perception triggering network element.

17. The perception execution node according to claim 14, wherein: The execution device is a terminal; The perception execution module includes: The second execution unit is configured to obtain a perception measurement parameter corresponding to the perception measurement ID to be performed and send the parameter to the terminal, so that the terminal performs perception measurement processing based on the perception measurement parameter.

18. The perception execution node according to claim 17, wherein: The signaling used to send the perception measurement parameter to the terminal includes: RRC signaling.

19. The perception execution node according to claim 17, wherein: The second execution unit is used to obtain the perception measurement report generated by the terminal according to the reporting type and / or the reporting period, and send it to the perception triggering network element.

20. A perception execution node, comprising: Memory; and a processor coupled to the memory, wherein the processor is configured to execute the method according to any one of claims 1 to 9 based on instructions stored in the memory.

21. A perception triggering network element, comprising: Configure a sending module, configured to send perception measurement indication information to the perception execution node; wherein the perception measurement indication information includes: a perception measurement ID and a perception measurement parameter corresponding to the perception measurement ID; A confirmation receiving module, configured to receive the perception measurement confirmation information returned by the perception execution node; wherein the perception measurement confirmation information includes: the perception measurement ID supported by the perception execution node and the corresponding perception measurement parameters; A trigger sending module, configured to send perception measurement trigger information to the perception execution node; wherein the perception measurement trigger information includes: a perception measurement ID to be executed and perception measurement auxiliary information; The report receiving module is used to receive the perception measurement report sent by the perception execution node.

22. A perception triggering network element, comprising: Memory; and a processor coupled to the memory, the processor being configured to execute the method according to any one of claims 10 to 11 based on instructions stored in the memory.

23. A communication system comprising: The perception execution node as described in any one of claims 12 to 20, and the perception triggering network element as described in claim 21 or 22.

24. A computer-readable storage medium storing computer instructions, wherein the instructions are executed by a processor to perform the method according to any one of claims 1 to 11.

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