Communication method, node, communication system, storage medium, and program product

Abstract

The present disclosure relates to a communication method, a node, a communication system, a storage medium, and a program product. The communication method comprises: a first node sends first information to a second node, the first information being used for indicating a time domain position of a first sampling point and time domain positions of second sampling points, and the second sampling points being M sampling points having the highest power among N consecutive sampling points after the first sampling point, wherein at least one of the time domain position of the first sampling point, the time domain positions of the second sampling points, the power of the first sampling point and the power of the second sampling points is used for AI reasoning, N and M are positive integers, and N is greater than or equal to M. The present disclosure can implement more accurate and efficient AI reasoning.

Description

Communication methods, nodes, communication systems, storage media, and software products Technical Field

[0001] This disclosure relates to the field of communication technology, and in particular to communication methods, nodes, communication systems, storage media, and program products. Background Technology

[0002] In recent years, artificial intelligence (AI) technology has made continuous breakthroughs in many fields. The ongoing development of fields such as intelligent voice and computer vision has not only brought a wide variety of applications to smart terminals. Summary of the Invention

[0003] This disclosure provides communication methods, nodes, communication systems, storage media, and program products.

[0004] According to a first aspect of the present disclosure, a communication method is proposed, the method comprising: a first node sending first information to a second node, the first information being used to indicate the time-domain position of a first sampling point and the time-domain position of a second sampling point, wherein the second sampling point is the M sampling points with the highest power among N consecutive sampling points following the first sampling point; wherein at least one of the time-domain position of the first sampling point, the time-domain position of the second sampling point, the power of the first sampling point, and the power of the second sampling point is used for AI derivation; wherein N and M are positive integers, and N is greater than or equal to M.

[0005] According to a second aspect of the present disclosure, a communication method is proposed, the method comprising: a second node receiving first information sent by a first node, the first information being used to indicate the time-domain position of a first sampling point and the time-domain position of a second sampling point, wherein the second sampling point is the M sampling points with the highest power among N consecutive sampling points following the first sampling point; wherein at least one of the time-domain position of the first sampling point, the time-domain position of the second sampling point, the power of the first sampling point, and the power of the second sampling point is used for AI derivation; wherein N and M are positive integers, and N is greater than or equal to M.

[0006] According to a third aspect of the present disclosure, a first node is proposed, the method comprising: a transceiver module, configured to send first information to a second node, the first information being used to indicate the time-domain position of a first sampling point and the time-domain position of a second sampling point, wherein the second sampling point is the M sampling points with the highest power among N consecutive sampling points following the first sampling point; wherein at least one of the time-domain position of the first sampling point, the time-domain position of the second sampling point, the power of the first sampling point, and the power of the second sampling point is used for AI derivation; wherein N and M are positive integers, and N is greater than or equal to M.

[0007] According to a fourth aspect of the present disclosure, a second node is proposed, comprising: a transceiver module, configured to receive first information sent by a first node, the first information indicating the time-domain position of a first sampling point and the time-domain position of a second sampling point, wherein the second sampling point is the M sampling points with the highest power among N consecutive sampling points following the first sampling point; wherein at least one of the time-domain position of the first sampling point, the time-domain position of the second sampling point, the power of the first sampling point, and the power of the second sampling point is used for AI derivation; wherein N and M are positive integers, and N is greater than or equal to M.

[0008] According to a fifth aspect of the present disclosure, a first node is provided, comprising: one or more processors; wherein the first node is configured to execute the first aspect and any one of the communication methods in the first aspect.

[0009] According to a sixth aspect of the present disclosure, a second node is provided, comprising: one or more processors; wherein the second node is configured to execute the second aspect and any of the communication methods in the second aspect.

[0010] According to a seventh aspect of the present disclosure, a communication system is provided, including a first node and a second node, wherein the first node is configured to implement the communication method described in any one of the first aspects, and the second node is configured to implement the communication method described in any one of the second aspects.

[0011] According to an eighth aspect of the present disclosure, a storage medium is provided that stores instructions which, when executed on a communication device, cause the communication device to perform a communication method as described in the first aspect and any one thereof, or the second aspect and any one thereof.

[0012] According to a ninth aspect of the present disclosure, a program product is provided, comprising: a computer program, which, when executed by a communication device, causes the communication device to perform a communication method as described in the first aspect and any one of the first aspects or the second aspect and the second aspect.

[0013] This disclosure transmits first information from a first node to a second node to indicate the temporal location of a first sampling point and the temporal location of a second sampling point. The second sampling point is defined as the M sampling points with the highest power among the N consecutive sampling points following the first sampling point. N and M are positive integers, and N is greater than or equal to M. In other words, the first node can indicate the first sampling point and, using the first sampling point as a reference, indicate the M sampling points with the highest power among the N consecutive sampling points following it, thereby indicating the temporal location of multiple sampling points (i.e., the first sampling point and the second sampling point). At least one of the temporal location of the first sampling point, the temporal location of the second sampling point, the power of the first sampling point, and the power of the second sampling point is used for AI inference to achieve more accurate and efficient inference. For example, if the AI ​​inference is based on AI-based positioning, positioning can be performed more accurately and efficiently. However, it is not limited to AI-based positioning. Attached Figure Description

[0014] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings required for the description of the embodiments are introduced below. The following drawings are only some embodiments of this disclosure and do not impose specific limitations on the protection scope of this disclosure.

[0015] Figure 1 is a schematic diagram of a communication system architecture according to an embodiment of the present disclosure.

[0016] Figure 2a is a schematic diagram of a communication method interaction according to an embodiment of the present disclosure.

[0017] Figure 2b is a schematic diagram of the first sampling point and the second sampling point according to an embodiment of the present disclosure.

[0018] Figure 3 is a flowchart illustrating a communication method according to an embodiment of the present disclosure.

[0019] Figure 4 is a flowchart illustrating a communication method according to an embodiment of the present disclosure.

[0020] Figure 5 is a schematic diagram of the communication method interaction according to an embodiment of the present disclosure.

[0021] Figure 6a is a schematic diagram of the structure of the first node proposed in an embodiment of this disclosure.

[0022] Figure 6b is a schematic diagram of the structure of the second node proposed in an embodiment of this disclosure.

[0023] Figure 7a is a schematic diagram of the structure of a communication device proposed in an embodiment of this disclosure.

[0024] Figure 7b is a schematic diagram of the chip structure proposed in an embodiment of this disclosure. Detailed Implementation

[0025] This disclosure provides communication methods, nodes, communication systems, storage media, and program products.

[0026] In a first aspect, embodiments of this disclosure propose a communication method, the method comprising: a first node sending first information to a second node, the first information being used to indicate the time-domain position of a first sampling point and the time-domain position of a second sampling point, wherein the second sampling point is the M sampling points with the highest power among N consecutive sampling points following the first sampling point; wherein at least one of the time-domain position of the first sampling point, the time-domain position of the second sampling point, the power of the first sampling point, and the power of the second sampling point is used for AI derivation; wherein N and M are positive integers, and N is greater than or equal to M.

[0027] In some alternative embodiments of the first aspect, N and / or M are determined in at least one of the following ways: determined based on the configuration of the second node; determined based on protocol predefined definitions; or determined by the first node.

[0028] In some alternative embodiments of the first aspect, the N and / or the M are determined in such a way that, in the case that the second node has not configured the N and / or the M, the N and / or the M are determined based on a protocol predefined.

[0029] In some alternative embodiments of the first aspect, the method further includes: the first node sending second information to the second node, the second information indicating N and / or M determined by the first node.

[0030] In some alternative embodiments of the first aspect, the second information is sent if at least one of the following conditions is met: the N determined by the first node is different from the N configured by the second node, and the second information is used to indicate the N determined by the first node; the M determined by the first node is different from the M configured by the second node, and the second information is used to indicate the M determined by the first node; the N determined by the first node is different from the N predefined by the protocol, and the second information is used to indicate the N determined by the first node; the M determined by the first node is different from the M predefined by the protocol, and the second information is used to indicate the M determined by the first node.

[0031] In some alternative embodiments of the first aspect, the first information includes first indication information and second indication information, the first indication information being used to indicate the time-domain location of the first sampling point, the second indication information being used to indicate the time-domain location of the second sampling point, and the second indication information being the index value of the M sampling points with the highest power among the N sampling points.

[0032] In some alternative embodiments of the first aspect, the first information includes first indication information and second indication information, the first indication information is used to indicate the time domain position of the first sampling point, the second indication information is used to indicate the time domain position of the second sampling point, the second indication information is a combination index corresponding to the M sampling points with the highest power, and each M sampling point in the N sampling points corresponds to a combination index.

[0033] In some alternative embodiments of the first aspect, the first information includes first indication information and second indication information, the first indication information being used to indicate the time domain position of the first sampling point, the second indication information being used to indicate the time domain position of the second sampling point, and the first indication information being the offset of the time domain position of the first sampling point relative to a reference time domain position.

[0034] In some alternative embodiments of the first aspect, the reference time-domain position is determined in at least one of the following ways: determined based on the starting time-domain position of the transmitted reference signal; determined based on the starting time-domain position of the received reference signal; determined based on absolute time.

[0035] In some alternative embodiments of the first aspect, the method further includes: the first node receiving third information sent by the second node, the third information being used to configure the reference time domain position.

[0036] In some alternative embodiments of the first aspect, the AI ​​derivation includes AI derivation for localization.

[0037] In a second aspect, a communication method is provided, comprising: a second node receiving first information sent by a first node, the first information indicating the time-domain position of a first sampling point and the time-domain position of a second sampling point, wherein the second sampling point is the M sampling points with the highest power among N consecutive sampling points after the first sampling point; wherein at least one of the time-domain position of the first sampling point, the time-domain position of the second sampling point, the power of the first sampling point, and the power of the second sampling point is used for AI derivation; wherein N and M are positive integers, and N is greater than or equal to M.

[0038] In some alternative embodiments of the second aspect, the method further includes: the second node configuring the N and / or the M to the first node.

[0039] In some alternative embodiments of the second aspect, the method further includes: the second node receiving second information sent by the first node, the second information being used to indicate N and / or M determined by the first node.

[0040] In some alternative embodiments of the second aspect, the second information is sent when at least one of the following conditions is met: the N determined by the first node is different from the N configured by the second node, and the second information is used to indicate the N determined by the first node; the M determined by the first node is different from the M configured by the second node, and the second information is used to indicate the M determined by the first node; the N determined by the first node is different from the N predefined by the protocol, and the second information is used to indicate the N determined by the first node; the M determined by the first node is different from the M predefined by the protocol, and the second information is used to indicate the M determined by the first node.

[0041] In some alternative embodiments of the second aspect, the first information includes first indication information and second indication information, the first indication information being used to indicate the time-domain position of the first sampling point, the second indication information being used to indicate the time-domain position of the second sampling point, and the second indication information being the index value of the M sampling points with the highest power among the N sampling points.

[0042] In some alternative embodiments of the second aspect, the first information includes first indication information and second indication information. The first indication information is used to indicate the time domain position of the first sampling point, and the second indication information is used to indicate the time domain position of the second sampling point. The second indication information is a combination index corresponding to the M sampling points with the highest power, and each M sampling point in the N sampling points corresponds to a combination index.

[0043] In some alternative embodiments of the second aspect, the first information includes first indication information and second indication information, the first indication information being used to indicate the time domain position of the first sampling point, the second indication information being used to indicate the time domain position of the second sampling point, and the first indication information being the offset of the time domain position of the first sampling point relative to the reference time domain position.

[0044] In some alternative embodiments of the second aspect, the reference time-domain position is determined in at least one of the following ways: based on the starting time-domain position of transmitting the reference signal; based on the starting time-domain position of receiving the reference signal; or based on absolute time.

[0045] In some alternative embodiments of the second aspect, the method further includes: the second node sending third information to the first node, the third information being used to configure the reference time domain position.

[0046] In some alternative embodiments of the second aspect, the AI ​​derivation includes AI derivation for localization.

[0047] Thirdly, a first node is provided, the method comprising: a transceiver module, configured to send first information to a second node, the first information being used to indicate the time-domain position of a first sampling point and the time-domain position of a second sampling point, wherein the second sampling point is the M sampling points with the highest power among the N consecutive sampling points following the first sampling point; wherein at least one of the time-domain position of the first sampling point, the time-domain position of the second sampling point, the power of the first sampling point, and the power of the second sampling point is used for AI derivation; wherein N and M are positive integers, and N is greater than or equal to M.

[0048] Fourthly, a second node is provided, comprising: a transceiver module, configured to receive first information sent by a first node, the first information indicating the time-domain position of a first sampling point and the time-domain position of a second sampling point, wherein the second sampling point is the M sampling points with the highest power among N consecutive sampling points following the first sampling point; wherein at least one of the time-domain position of the first sampling point, the time-domain position of the second sampling point, the power of the first sampling point, and the power of the second sampling point is used for AI derivation; wherein N and M are positive integers, and N is greater than or equal to M.

[0049] Fifthly, a first node is provided, comprising: one or more processors; wherein the first node is configured to execute the first aspect and any one of the communication methods in the first aspect.

[0050] A sixth aspect provides a second node, comprising: one or more processors; wherein the second node is configured to execute the second aspect and any of the communication methods therein.

[0051] A seventh aspect provides a communication system including a first node and a second node, wherein the first node is configured to implement the communication method described in any one aspect, and the second node is configured to implement the communication method described in any one aspect.

[0052] Eighthly, a storage medium is provided that stores instructions, which, when executed on a communication device, cause the communication device to perform a communication method as described in the first aspect and any one thereof, or the second aspect and any one thereof.

[0053] Ninth aspect, a program product is provided, comprising: a computer program, which, when executed by a communication device, causes the communication device to perform a communication method as described in the first aspect and any one of the first aspects or the second aspect and the second aspect.

[0054] In a tenth aspect, embodiments of this disclosure provide a computer program that, when run on a computer, causes the computer to perform the methods described in an optional implementation of the first or second aspect.

[0055] Eleventhly, embodiments of this disclosure provide a chip or chip system. The chip or chip system includes processing circuitry configured to perform the methods described in the optional implementations of the first or second aspect above.

[0056] It is understood that the terminals, access network devices, first network elements, other network elements, core network devices, communication systems, storage media, program products, computer programs, chips, or chip systems involved in the embodiments of this disclosure are all used to execute the methods proposed in the embodiments of this disclosure. Therefore, the beneficial effects that can be achieved can be referred to the beneficial effects in the corresponding methods, and will not be repeated here.

[0057] This disclosure provides communication methods, nodes, communication systems, storage media, and program products. In some embodiments, the terms "communication method" and "information processing method" can be used interchangeably, as can the terms "communication device" and "information processing device" and "communication device," and the terms "information processing system" and "communication system" can be used interchangeably.

[0058] This disclosure is not exhaustive, but merely illustrative of some embodiments, and is not intended to limit the scope of protection of this disclosure. Unless otherwise specified, each step in a particular embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged. Furthermore, the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined, for example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0059] In each of the disclosed embodiments, unless otherwise specified or in case of logical conflict, the terminology and / or descriptions of the embodiments are consistent and can be referenced by each other. The technical environments of different embodiments can be combined to form new embodiments according to their inherent logical relationships.

[0060] The terminology used in the embodiments of this disclosure is for the purpose of describing particular embodiments only and is not intended to limit the scope of this disclosure.

[0061] In this embodiment of the disclosure, unless otherwise stated, elements expressed in the singular form, such as "a," "an," "the," "the," "the," "the," "the," "the," "this," etc., can mean "one and only one," or "one or more," "at least one," etc. For example, when using articles such as "a," "an," "the," etc. in translation, the noun following the article can be understood as either a singular expression or a plural expression.

[0062] In the embodiments disclosed herein, "multiple" refers to two or more.

[0063] In some embodiments, the terms “at least one of”, “one or more”, “a plurality of”, “multiple”, etc., may be used interchangeably.

[0064] In some embodiments, the notation "at least one of A and B", "A and / or B", "A in one case, B in another", "in response to one case A, in response to another case B", etc., may include the following technical solutions depending on the situation: in some embodiments, A (execute A regardless of B); in some embodiments, B (execute B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, A and B (both A and B are executed). The same applies when there are more branches such as A, B, C, etc.

[0065] In some embodiments, the notation "A or B" may include the following technical solutions, depending on the situation: in some embodiments, A (execution of A regardless of B); in some embodiments, B (execution of B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The same applies when there are more branches such as A, B, C, etc.

[0066] The prefixes "first," "second," etc., used in the embodiments of this disclosure are merely for distinguishing different descriptive objects and do not impose restrictions on the position, order, priority, quantity, or content of the descriptive objects. The description of the descriptive objects is found in the claims or the context of the embodiments, and the use of prefixes should not constitute unnecessary restrictions. For example, if the descriptive object is a "field," the ordinal numbers preceding "field" in "first field" and "second field" do not restrict the position or order of the "fields." "First" and "second" do not restrict whether the "fields" they modify are in the same message, nor do they restrict the order of "first field" and "second field." Similarly, if the descriptive object is a "level," the ordinal numbers preceding "level" in "first level" and "second level" do not restrict the priority between "levels." Furthermore, the number of descriptive objects is not limited by ordinal numbers and can be one or more. For example, in "first device," the number of "devices" can be one or more. Furthermore, the objects modified by different prefixes can be the same or different. For example, if the object being described is "device", then "first device" and "second device" can be the same device or different devices, and their types can be the same or different. Similarly, if the object being described is "information", then "first information" and "second information" can be the same information or different information, and their content can be the same or different.

[0067] In some embodiments, “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0068] In some embodiments, the terms “in response to…”, “in response to determining…”, “in the case of…”, “when…”, “if…”, “if…”, etc., can be used interchangeably.

[0069] In some embodiments, the terms “greater than,” “greater than or equal to,” “not less than,” “more than,” “more than or equal to,” “not less than,” “higher than,” “higher than or equal to,” “not lower than,” and “above” can be used interchangeably, as can the terms “less than,” “less than or equal to,” “not greater than,” “less than,” “less than or equal to,” “not more than,” “lower than,” “lower than or equal to,” “not higher than,” and “below”.

[0070] In some embodiments, the apparatus and device may be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they may also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "body", etc.

[0071] In some embodiments, "network" can be interpreted as devices included in the network, such as access network devices, core network devices, etc.

[0072] 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," or "fixed station." In some embodiments, it may also be understood as "node," "access point," "transmission point (TP)," "reception point (RP)," "transmission / 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," or "bandwidth part (BWP)."

[0073] 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.

[0074] In some embodiments, the acquisition of data, information, etc., may comply with the laws and regulations of the country where the location is situated.

[0075] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0076] Furthermore, each element, each row, or each column in the table of this disclosure can be implemented as an independent embodiment, and any combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0077] Currently, the widespread application of 5G technology is bringing tremendous changes to all aspects of people's lives. According to the vision of the International Telecommunication Union (ITU), 5G will permeate all areas of future society, building a comprehensive information ecosystem centered on the user. Specifically, 5G user experience speeds can reach 100 Mbps to 1 Gbps, supporting ultimate service experiences such as mobile virtual reality; 5G peak speeds can reach 10 Gbps to 20 Gbps, with a traffic density of 10 Mbps per square meter (m²), capable of supporting more than a thousandfold increase in mobile traffic; 5G connection density can reach 1 million connections per square meter (m²), effectively supporting massive numbers of IoT devices; 5G transmission latency can be down to the millisecond level, meeting the stringent requirements of vehicle-to-everything (V2X) and industrial control; 5G can support mobile speeds of 500 km / h, providing a good user experience even in high-speed rail environments. It is conceivable that 5G, as a representative of new infrastructure, will reshape the future information society.

[0078] In recent years, artificial intelligence (AI) technology has made continuous breakthroughs in multiple fields. The ongoing development of fields such as intelligent voice and computer vision has not only brought a wide variety of applications to smart terminals, but has also found widespread use in education, transportation, home, healthcare, retail, security, and many other sectors, bringing convenience to people's lives while promoting industrial upgrading across various industries. AI technology is also accelerating its cross-disciplinary integration with other disciplines, combining knowledge from different fields while providing new directions and methods for the development of various disciplines.

[0079] Recent research has introduced AI technology into wireless air interfaces and investigated how AI can assist in improving wireless transmission technology. This includes, for example, the following three aspects:

[0080] AI-enabled connectivity. This means using AI to improve communication performance, such as using AI for beam management.

[0081] Computing power services. This refers to the network side providing computing power to the terminal side, such as helping the terminal with model training and inference.

[0082] Ultimate AI service. This involves enhancing the network transmission pipeline to improve the user experience of AI application services.

[0083] In some embodiments, the basic principle of AI technology is to train an AI model whose input is the measurement results and whose output is the desired information. For example, taking AI-based positioning as an example, the model's input is the measurement results based on positioning reference signals, and the model's output is the AI ​​positioning coordinates or intermediate parameters used for AI positioning. The relevant measurement results input to the AI ​​model may be time-sampled measurement results.

[0084] In some embodiments, the definition of sample is as follows:

[0085] The measured values ​​consist of Nt' values ​​of the estimated channel response in the time domain. The Nt' values ​​are selected from a list of Nt consecutive channel response values ​​with a timing granularity T.

[0086] The timing information for Nt' values ​​is reported in timing granularity T, where T = 2k x Tc. k represents the timing reporting granularity factor. Tc is the basic time unit of NR.

[0087] The relevant measurement (e.g., power, if reported) corresponds to the measured value of the reported Nt'.

[0088] The timing information is defined relative to a reference time, the same as path-based measurements.

[0089] The selected time-domain channel measurement value, Nt', is expected to be the highest power value.

[0090] The start time of the Nt consecutive value list is determined as follows: start time = the first detected path, rounded using the timing granularity T.

[0091] The Location Management Function (LMF) can send parameter value signals of Nt, Nt', and k to the gNB via NRPPa. Candidate setting values:

[0092] Nt'<=24.FSS:Nt'values ​​(values);

[0093] Nt = {32, 64, 128}

[0094] FFS:k;

[0095] gNB / TRP can use different Nt', Nt, and / or k values ​​instead of the signal parameters used for measurement reporting. In this case, the reported measurement results are processed by the LMF implementation.

[0096] Here, FFS indicates whether to transmit offset from gNB to LMF.

[0097] In other words, for sample-based measurement results, the time-domain sampled signal interval T can be T = 2. k xT c Where k represents the timing reporting granularity factor, x represents the multiplication sign, and Tc represents the basic time unit of NR. However, how to indicate the time-domain location of the time-domain sampled signal is a technical problem that needs to be solved.

[0098] Therefore, this disclosure provides a communication method in which a first node sends first information to a second node to indicate the temporal location of a first sampling point and the temporal location of a second sampling point. The second sampling point is defined as the M sampling points with the highest power among the N consecutive sampling points following the first sampling point. Here, N and M are positive integers, and N is greater than or equal to M. In other words, the first node can indicate the first sampling point, and then, using the first sampling point as a reference, indicate the M sampling points with the highest power among the N consecutive sampling points following it, thereby indicating the temporal location of multiple sampling points (i.e., the first sampling point and the second sampling point). At least one of the temporal location of the first sampling point, the temporal location of the second sampling point, the power of the first sampling point, and the power of the second sampling point is used for AI inference to achieve more accurate and efficient inference. For example, if the AI ​​inference is AI-based positioning, positioning can be performed more accurately and efficiently. Of course, it is not limited to AI-based positioning.

[0099] Figure 1 is a schematic diagram of a communication system architecture according to an embodiment of the present disclosure.

[0100] As shown in Figure 1, the communication system 100 includes a first node 101 and a second node 102.

[0101] In some embodiments, the first node 101 may be a terminal or an access network device.

[0102] In some embodiments, the second node 102 may be a core network device. For example, it may be a network element of the core network device. Exemplarily, the second node 102 may be an LMF (Local Function Function), but it is not limited thereto. For example, for AI-based positioning, the second node 102 may be an LMF; for other AI-based instances, the second node 102 may be other network functions.

[0103] In some embodiments, the terminal includes, but is not limited to, at least one of the following: mobile phone, wearable device, Internet of Things device, car with communication function, smart car, tablet computer, computer with wireless transceiver function, virtual reality (VR) terminal device, augmented reality (AR) terminal device, wireless terminal device in industrial control, wireless terminal device in self-driving, wireless terminal device in remote medical surgery, wireless terminal device in smart grid, wireless terminal device in transportation safety, wireless terminal device in smart city, and wireless terminal device in smart home.

[0104] In some embodiments, the access network device is, for example, a node or device that connects a terminal to a wireless network. The access network device may include, but is not limited to, at least one of the following in a 5G communication system: evolved Node B (eNB), next-generation eNB (ng-eNB), next-generation Node B (gNB), node B (NB), home node B (HNB), home evolved node B (HeNB), radio backhaul device, radio network controller (RNC), base station controller (BSC), base transceiver station (BTS), base band unit (BBU), mobile switching center, base station in a 6G communication system, open RAN, cloud RAN, base station in other communication systems, and access node in a Wi-Fi system.

[0105] In some embodiments, the technical solutions of this disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within access network devices involved in the embodiments of this disclosure can be transformed into internal interfaces of Open RAN. The processes and information interactions between these internal interfaces can be implemented by software or programs.

[0106] In some embodiments, the access network device may be composed of a central unit (CU) and a distributed unit (DU). The CU may also be called a control unit. The CU-DU structure can separate the protocol layer of the access network device. Some of the protocol layer functions are centrally controlled by the CU, while the remaining part or all of the protocol layer functions are distributed in the DU and centrally controlled by the CU. However, this is not the only possibility.

[0107] In some embodiments, a core network device may be a single device comprising one or more network elements, or it may be multiple devices or a group of devices, each comprising all or part of the aforementioned one or more network elements. Network elements 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), or a Next Generation Core (NGC).

[0108] It is understood that the communication system described in this disclosure is for the purpose of more clearly illustrating the technical solutions of this disclosure, and does not constitute a limitation on the technical solutions proposed in this disclosure. As those skilled in the art will know, with the evolution of system architecture and the emergence of new business scenarios, the technical solutions proposed in this disclosure are also applicable to similar technical problems.

[0109] The following embodiments of this disclosure can be applied to the communication system 100 shown in FIG1, or to some of the main bodies, but are not limited thereto. The main bodies shown in FIG1 are illustrative. The communication system may include all or some of the main bodies in FIG1, or may include other main bodies outside of FIG1. ​​The number and form of each main body are arbitrary. Each main body may be physical or virtual. The connection relationship between the main bodies is illustrative. The main bodies may not be connected or may be connected. The connection can be in any way, it can be a direct connection or an indirect connection, it can be a wired connection or a wireless connection.

[0110] The embodiments disclosed herein can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 6th generation mobile communication system (6G), 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), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), and IEEE 802.20, Ultra-Wideband (UWB), Bluetooth (a registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X) systems, systems utilizing other communication methods, and next-generation systems built upon them, etc. Furthermore, multiple systems can be combined (e.g., a combination of LTE or LTE-A with 5G).

[0111] Figure 2a is a schematic diagram of a communication method interaction according to an embodiment of the present disclosure. As shown in Figure 2a, this embodiment of the present disclosure relates to a communication method for a communication system 100, the method including:

[0112] Step S2101: The second node 102 configures N and / or M to the first node 101.

[0113] In some embodiments, the first node 101 receives N and / or M configured by the second node 102. N and M are positive integers, with N greater than or equal to M.

[0114] In some embodiments, in AI technology, the measurement results input to the AI ​​model can be sampling-based measurement results. For example, each resource location can be understood as a point. Selecting a subset of resource locations from multiple resource locations is called sampling, and the selected resource locations are called sampling points. Resource locations are used to send or receive reference signals. Measuring the reference signals at the selected resource locations yields sampling-based measurement results. Resource locations can include time-domain resource locations (simply referred to as time-domain locations), frequency-domain resource locations (simply referred to as frequency-domain locations), etc. To make AI inference more accurate and efficient, the first node can report the time-domain location of the sampling points to the second node. For example, the first node sends first information to the second node, indicating the time-domain location of the first sampling point and the time-domain location of the second sampling point, where the second sampling point is the M sampling points with the highest power among the N consecutive sampling points following the first sampling point. That is, the first node can first determine the first sampling point, and then, using the first sampling point as a reference, determine the M sampling points with the highest power among the N consecutive sampling points following the first sampling point as the second sampling point. At least one of the following—the time-domain location of the first sampling point, the time-domain location of the second sampling point, the power of the first sampling point, and the power of the second sampling point—is used for AI derivation. N and M can be determined based on the configuration of the second node.

[0115] Optionally, the second node can configure N to the first node, and M can be determined in other ways.

[0116] Optionally, the second node can configure M to the first node, and N can be determined in other ways.

[0117] Optionally, the second node can configure N and M to the first node.

[0118] Alternatively, N and M can be determined in other ways, i.e., step S2101 is optional.

[0119] In step S2102, the second node 102 sends the third information to the first node 101.

[0120] In some embodiments, the first node 101 receives third information sent by the second node 102.

[0121] In some embodiments, the third information is used to configure a reference time-domain position. The reference time-domain position is used to determine the time-domain position of the first sampling point. For example, the first node can determine the time-domain position of the first sampling point based on the reference time-domain position and an offset. Since the time-domain interval between consecutive sampling points can be predefined in the protocol, the first node only needs to determine which sampling point after the first sampling point the second sampling point is to determine the time-domain position of the second sampling point. When the first node indicates the time-domain position of the first sampling point to the second node, it can indicate an offset, allowing the second node to determine the time-domain position of the first sampling point based on the reference time-domain position and the offset. When the first node indicates the time-domain position of the second sampling point to the second node, it can indicate the interval between the second and first sampling points, such as indicating how many sampling points exist between the second and first sampling points, or indicating which sampling point after the first sampling point the second sampling point is. This allows the second node to determine the time-domain position of the second sampling point based on the time-domain position of the first sampling point, the interval between the first and second sampling points, and the time-domain interval between every two consecutive sampling points.

[0122] In some embodiments, the reference time-domain position can be determined in at least one of the following ways: based on the starting time-domain position of the transmitted reference signal; based on the starting time-domain position of the received reference signal; or based on absolute time.

[0123] Optionally, the reference time-domain position can be determined based on the starting time-domain position of the transmitted reference signal. For example, the starting time-domain position of the transmitted reference signal can be determined as the reference time-domain position. The reference signal is used to measure and obtain sample-based measurement results, which are then input into the AI ​​model for derivation.

[0124] Optionally, the reference time-domain position can be determined based on the initial time-domain position of the received reference signal. For example, the initial time-domain position of the received reference signal can be determined as the reference time-domain position. The reference signal is used to measure and obtain sample-based measurement results, which are then input into the AI ​​model for derivation.

[0125] Optionally, the reference time domain location can be determined based on absolute time. For example, the absolute time is 00:00:00 in 1900 AD. It is understood that the above examples of absolute time are merely illustrative and are not intended to limit the scope of this disclosure.

[0126] It is understood that step S2102 is optional. The first node can determine the time domain location of the first sampling point in other ways, that is, it can determine the time domain location of the first sampling point without being based on the reference time domain location, so step S2102 can be omitted. Alternatively, the first node can also determine the reference time domain location in other ways. For example, the reference time domain location can be predefined in the protocol, so the first node can determine the reference time domain location based on the protocol predefined location, thereby omitting step S2102.

[0127] In step S2103, the first node 101 sends the first information to the second node 102.

[0128] In some embodiments, the second node 102 receives the first information sent by the first node 101.

[0129] In some embodiments, the first information is used to indicate the time-domain location of the first sampling point and the time-domain location of the second sampling point. The second sampling point is the M sampling points with the highest power among the N consecutive sampling points following the first sampling point. The M sampling points with the highest power can be understood as measuring the reference signal at the N sampling points to obtain N power values. The N power values ​​are then sorted from smallest to largest, and the sampling points corresponding to the first M power values ​​are the M sampling points with the highest power.

[0130] Figure 2b is a schematic diagram of the first and second sampling points according to an embodiment of the present disclosure. As shown in Figure 2b, among the N consecutive sampling points after the first sampling point, the M sampling points with the highest power are the second sampling points.

[0131] In some embodiments, N and / or M may be determined in at least one of the following ways: determined based on the configuration of the second node; determined based on protocol predefined definitions; or determined by the first node.

[0132] Optionally, N and / or M can be determined based on the configuration of the second node. For example, N can be determined based on the configuration of the second node. The second node can configure N to the first node, that is, the second node can configure the first node to determine the second sampling point from several consecutive sampling points after the first sampling point. As another example, M can be determined based on the configuration of the second node. The second node can configure M to the first node, that is, the second node can configure the first node to determine several sampling points with the highest power from N consecutive sampling points after the first sampling point. In other words, the second node can configure the number of second sampling points.

[0133] Optionally, N and / or M can be determined based on protocol predefined definitions. For example, N can be determined based on protocol predefined definitions. If the size of N is predefined in the protocol, then the first node can determine N based on the protocol predefined definitions. Similarly, M can be determined based on protocol predefined definitions. If the size of M is predefined in the protocol, then the first node can determine M based on the protocol predefined definitions.

[0134] Optionally, N and / or M can be determined by the first node. For example, determining by the first node can be understood as the first node determining it itself, rather than based on the instructions or configuration of other nodes, or based on the protocol. For example, if the first node finds that the configuration based on the second node cannot include important time-domain location or power information, the first node can determine N and / or M itself, so as to determine the important time-domain location or power information based on N and / or M.

[0135] In some embodiments, if the second node is not configured with N and / or M, N and / or M can be determined based on protocol predefined definitions. For example, if the second node is configured with N and / or M, then N and / or M are determined based on the second node's configuration. If the second node is not configured with N and / or M, then N and / or M are determined based on protocol predefined definitions. It is understood that the second node can configure different N and / or M according to the actual communication scenario, channel state, etc., to flexibly adapt to different situations and improve communication efficiency. Therefore, the first node can preferentially determine N and / or M based on the second node's configuration, and if the second node is not configured with N and / or M, then determine N and / or M based on protocol predefined definitions. Of course, the method in this embodiment is only optional, and this disclosure is not limited thereto. For example, N and / or M can also be preferentially determined based on protocol predefined definitions, and if N and / or M are not predefined in the protocol, then N and / or M can be determined based on the second node's configuration.

[0136] In some embodiments, the first node may determine N and / or M based on a protocol predefined value, determine N and / or M based on the configuration of the second node, or determine N and / or M. The N and / or M determined by the first node are used as the N and / or M for determining the second sampling point if at least one of the following conditions is met: the N determined by the first node is different from the N configured by the second node, and the second information is used to indicate the N determined by the first node; the M determined by the first node is different from the M configured by the second node, and the second information is used to indicate the M determined by the first node; the N determined by the first node is different from the N predefined by the protocol, and the second information is used to indicate the N determined by the first node; the M determined by the first node is different from the M predefined by the protocol, and the second information is used to indicate the M determined by the first node.

[0137] Optionally, if the N determined by the first node is different from the N configured by the second node, the N determined by the first node can be used as the N for determining the second sampling point. For example, assuming the N determined by the first node is N1 and the N configured by the second node is N2, and N1 and N2 are different, the first node can determine the second sampling point based on N1. It can then determine the M sampling points with the highest power among the N1 consecutive sampling points following the first sampling point, which are the second sampling points. It is understood that M in this optional example can be determined in any way.

[0138] Optionally, if the M determined by the first node is different from the M configured by the second node, the M determined by the first node can be used as the M for determining the second sampling point. For example, assuming the M determined by the first node is M1 and the M configured by the second node is M2, and M1 and M2 are different, the first node can determine the second sampling point based on M1. The sampling point with the highest power, M1, can be determined from the N consecutive sampling points following the first sampling point, and this M1 is the second sampling point. It is understood that N in this optional example can be determined in any way.

[0139] It is understandable that the two optional examples described above can be implemented in combination. For example, the first node determines N as N1 and M as M1, while the second node configures N as N2 and M as M2. If N1 and N2 are different, and M1 and M2 are different, then the first node can determine the second sampling point based on N1 and M1. For example, the M1 sampling points with the highest power among the N1 consecutive sampling points after the first sampling point can be determined as the second sampling points.

[0140] In some embodiments, the first information may include first indication information and second indication information. The first indication information indicates the time-domain location of the first sampling point. The second indication information indicates the time-domain location of the second sampling point.

[0141] Optionally, the second indication information is the index value of the M highest-power sampling points among the N sampling points. For example, assuming N = 32 and M = 8, that is, the 8 highest-power sampling points are determined from the 32 consecutive sampling points after the first sampling point, i.e., the 8 second sampling points are determined. Then, the 32 sampling points can be indicated using indices 0 to 31. Each sampling point is indicated using log2(32) = 5 bits. Since 40 bits are needed to indicate the 8 second sampling points, it is understood that the specific values ​​of 32, 8, etc., mentioned above are merely exemplary examples for ease of understanding, and this disclosure is not limited thereto.

[0142] Optionally, the second indication information is the combination index corresponding to the M sampling points with the highest power, with one combination index corresponding to every M sampling points out of N sampling points. For example, assuming N=32 and M=8, that is, the 8 sampling points with the highest power are determined from the 32 consecutive sampling points after the first sampling point, which are the 8 second sampling points. Then, every 8 sampling points out of the 32 sampling points are considered as a combination, resulting in a total of C(32,8) combinations. Here, C is the mathematical symbol for combination. The C(32,8) combinations can be indicated using combination indices 0 to C(32,8)-1. Since one combination index is needed to indicate that the 8 sampling points in this combination are the second sampling points, log2(C(32,8)) bits are required.

[0143] Optionally, the first indication information is the offset of the time-domain position of the first sampling point relative to the reference time-domain position. For example, the second node can be configured with a reference time-domain position. Since the reference time-domain position is commonly known for both the first and second nodes, the first node indicates the offset, and the second node can determine the time-domain position of the first sampling point based on the reference time-domain position and the offset. The offset can be a time-domain unit. The granularity and size of the offset are not limited in this disclosure; for example, it can be a time slot, a symbol, etc. For example, assuming the offset is X time slots, the time-domain position of the first sampling point can be a position starting from the reference time-domain position and spaced X time slots apart.

[0144] For example, we still assume 32 and 8 from the above embodiments. Assume the time-domain interval between two consecutive sampling points is Y time slots. If the first indication information indicates an offset of X time slots, and the second indication information indicates the indices of the second sampling points are 0, 2, 3, 5, 8, 9, 20, and 25 respectively, then the time-domain position of the first sampling point is the position starting from the reference time-domain position and spaced X time slots apart. The first second sampling point (i.e., the sampling point with index 0) is the first sampling point after the first sampling point, and its time-domain position is the position starting from the reference time-domain position and spaced (X+Y). The second second sampling point (i.e., the sampling point with index 2) is the third sampling point after the first sampling point, and its time-domain position is the position starting from the reference time-domain position and spaced (X+Y*2) time slots apart. This disclosure does not provide a complete list of examples, but is not limited thereto.

[0145] In some embodiments, the second node receives first information and can determine the time-domain location of the first sampling point and the time-domain location of the second sampling point. The first node can also send the power of the first sampling point and the power of the second sampling point. The power of the first sampling point can be understood as the power value obtained by measuring the reference signal of the first sampling point. The power of the second sampling point is similarly determined. At least one of the time-domain location of the first sampling point, the time-domain location of the second sampling point, the power of the first sampling point, and the power of the second sampling point can be input into an AI model for AI inference. For example, it can be used for AI-based positioning. For example, the second node can input at least one of the time-domain location of the first sampling point, the time-domain location of the second sampling point, the power of the first sampling point, and the power of the second sampling point into an AI model, which then serves as the positioning data for the first node, or as intermediate parameters for positioning.

[0146] It is understood that this disclosure uses AI-based positioning as an example, but is not limited to it. For example, the second node may also input at least one of the temporal location of the first sampling point, the temporal location of the second sampling point, the power of the first sampling point, and the power of the second sampling point into the AI ​​model for beam prediction, etc.

[0147] In step S2104, the first node 101 sends the second information to the second node 102.

[0148] In some embodiments, the second node 102 receives second information sent by the first node 101.

[0149] In some embodiments, the second information is used to indicate N and / or M determined by the first node. For example, if the first node determines N and / or M, and the N and / or M determined by the first node are different from the N and / or M configured by the second node, the first node can report its determined N and / or M through the second information.

[0150] In some embodiments, the second information is sent if at least one of the following conditions is met: the N determined by the first node is different from the N configured by the second node, and the second information is used to indicate the N determined by the first node; the M determined by the first node is different from the M configured by the second node, and the second information is used to indicate the M determined by the first node; the N determined by the first node is different from the N predefined by the protocol, and the second information is used to indicate the N determined by the first node; the M determined by the first node is different from the M predefined by the protocol, and the second information is used to indicate the M determined by the first node.

[0151] The communication method involved in the embodiments of this disclosure may include at least one of steps S2101 to S2104. For example, step S2103 may be implemented as a standalone embodiment, but is not limited thereto.

[0152] In some embodiments, step S2101 is optional and may be omitted or replaced in different embodiments.

[0153] In some embodiments, step S2102 is optional and may be omitted or replaced in different embodiments.

[0154] In some embodiments, step S2103 is optional and may be omitted or replaced in different embodiments.

[0155] In some embodiments, other alternative implementations may be described before or after the specification corresponding to FIG2a.

[0156] Figure 3 is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 3, this embodiment of the present disclosure relates to a communication method executed by a first node 101, the method including:

[0157] Step S3101: Obtain N and / or M.

[0158] The optional implementation of step S3101 can be found in the optional implementation of step S2101 in Figure 2a, and other related parts in the embodiment involved in Figure 2a, which will not be repeated here.

[0159] In some embodiments, the first node 101 receives N and / or M configured by the second node 102, but is not limited thereto, and may also receive N and / or M sent by other entities.

[0160] In some embodiments, the first node 101 acquires N and / or M as specified by the protocol.

[0161] In some embodiments, the first node 101 obtains N and / or M from the upper layer(s).

[0162] In some embodiments, the first node 101 is processed to obtain N and / or M.

[0163] In some embodiments, step S3101 is omitted, and the first node 101 autonomously implements the functions indicated by N and / or M, or the above functions are defaulted or set to default.

[0164] Step S3102: Obtain third information.

[0165] The optional implementation of step S3102 can be found in the optional implementation of step S2102 in Figure 2a, and other related parts in the embodiment involved in Figure 2a, which will not be repeated here.

[0166] In some embodiments, the first node 101 receives third information sent by the second node 102, but is not limited thereto; it may also receive third information sent by other entities.

[0167] In some embodiments, the first node 101 obtains third information as defined by the protocol.

[0168] In some embodiments, the first node 101 obtains third information from the upper layer(s).

[0169] In some embodiments, the first node 101 processes the information to obtain the third information.

[0170] In some embodiments, step S3102 is omitted, and the first node 101 autonomously implements the function indicated by the third information, or the above function is defaulted or set to default.

[0171] Step S3103: Send the first message.

[0172] The optional implementation of step S3103 can be found in the optional implementation of step S2103 in Figure 2a, and other related parts in the embodiment involved in Figure 2a, which will not be repeated here.

[0173] In some embodiments, the first node 101 sends first information to the second node 102, but is not limited thereto; it may also send first information to other entities.

[0174] Step S3104: Send the second message.

[0175] The optional implementation of step S3104 can be found in the optional implementation of step S2104 in Figure 2a, and other related parts in the embodiment involved in Figure 2a, which will not be repeated here.

[0176] In some embodiments, the first node 101 sends second information to the second node 102, but is not limited thereto; it may also send second information to other entities.

[0177] The communication method involved in the embodiments of this disclosure may include at least one of steps S3101 to S3104. For example, step S3103 may be implemented as a separate embodiment, but is not limited thereto.

[0178] In some embodiments, step S3101 is optional and may be omitted or replaced in different embodiments.

[0179] In some embodiments, step S3102 is optional and may be omitted or replaced in different embodiments.

[0180] In some embodiments, step S3104 is optional and may be omitted or replaced in different embodiments.

[0181] In some embodiments, other optional implementations may be described before or after the specification corresponding to FIG3.

[0182] Figure 4 is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 4, this embodiment of the present disclosure relates to a communication method executed by a second node 102, the method comprising:

[0183] Step S4101: Configure N and / or M.

[0184] The optional implementation of step S4101 can be found in the optional implementation of step S2101 in Figure 2a, and other related parts in the embodiment involved in Figure 2a, which will not be repeated here.

[0185] In some embodiments, the second node 102 configures N and / or M to the first node, but is not limited thereto, and may also configure N and / or M to other entities.

[0186] Step S4102: Send the third message.

[0187] The optional implementation of step S4102 can be found in the optional implementation of step S2102 in Figure 2a, and other related parts in the embodiment involved in Figure 2a, which will not be repeated here.

[0188] In some embodiments, the second node 102 sends third information to the first node, but is not limited thereto; it may also send third information to other entities.

[0189] Step S4103: Obtain the first information.

[0190] The optional implementation of step S4103 can be found in the optional implementation of step S2103 in Figure 2a, and other related parts in the embodiment involved in Figure 2a, which will not be repeated here.

[0191] In some embodiments, the second node 102 receives the first information sent by the first node 101, but is not limited thereto; it may also receive the first information sent by other entities.

[0192] In some embodiments, the second node 102 obtains the first information specified by the protocol.

[0193] In some embodiments, the second node 102 obtains first information from the upper layer(s).

[0194] In some embodiments, the second node 102 processes the information to obtain the first information.

[0195] In some embodiments, step S4103 is omitted, and the second node 102 autonomously implements the function indicated by the first information, or the above function is defaulted or set to default.

[0196] Step S4104: Obtain the second information.

[0197] The optional implementation of step S4104 can be found in the optional implementation of step S2104 in Figure 2a, and other related parts in the embodiment involved in Figure 2a, which will not be repeated here.

[0198] In some embodiments, the second node 102 receives second information sent by the first node 101, but is not limited thereto; it may also receive second information sent by other entities.

[0199] In some embodiments, the second node 102 obtains second information as defined by the protocol.

[0200] In some embodiments, the second node 102 obtains second information from the upper layer(s).

[0201] In some embodiments, the second node 102 performs processing to obtain the second information.

[0202] In some embodiments, step S4104 is omitted, and the second node 102 autonomously implements the function indicated by the second information, or the above function is defaulted or set to default.

[0203] The communication method involved in the embodiments of this disclosure may include at least one of steps S4101 to S4104. For example, step S4103 may be implemented as a separate embodiment, but is not limited thereto.

[0204] In some embodiments, step S4101 is optional and may be omitted or replaced in different embodiments.

[0205] In some embodiments, step S4102 is optional and may be omitted or replaced in different embodiments.

[0206] In some embodiments, step S4104 is optional and may be omitted or replaced in different embodiments.

[0207] In some embodiments, other optional implementations may be described before or after the specification corresponding to Figure 4.

[0208] Figure 5 is a schematic diagram illustrating the communication method interaction according to an embodiment of the present disclosure. As shown in Figure 5, the embodiments of the present disclosure relate to a communication method, which includes:

[0209] Step S5101: First node 101 sends first information to second node 102.

[0210] In some embodiments, the above methods may include the methods of the embodiments related to the communication system 100, the first node 101, and the second node 102, which will not be described again here.

[0211] This disclosure provides a measurement result indication method, in which a base station or terminal sends a first message to a first network element (e.g., LMF). The message includes first information, which is used to indicate the time domain information of a first sampling point, and also includes second information, which is used to indicate the time domain location information of the Nt' sampling points with the highest power among the Nt consecutive time domain sampling points after the location of the first sampling point.

[0212] In some embodiments, Nt is configured by the first network element to the base station or terminal.

[0213] In some embodiments, the first message may also include third information, which is used to indicate Nt.

[0214] In some embodiments, Nt is determined based on a protocol predefined value.

[0215] In some embodiments, in response to the first network element not indicating an Nt value, a predefined Nt value is used.

[0216] In some embodiments, in response to a difference between the Nt value determined by the base station or the terminal and the Nt value configured by the network or a predefined value of the protocol, the terminal or the base station sends third information; otherwise, it does not send third information.

[0217] In some embodiments, Nt' is configured by the first network element to the base station or terminal.

[0218] In some embodiments, the first message may also include fourth information, which is used to indicate Nt'.

[0219] In some embodiments, Nt' is determined based on protocol predefined parameters.

[0220] In some embodiments, in response to the first network element not indicating an Nt value, a predefined Nt value is used.

[0221] In some embodiments, in response to the Nt value determined by the base station or the terminal being different from the Nt value configured by the first network element or a predefined value of the protocol, the terminal or the base station sends fourth information; otherwise, it does not send fourth information.

[0222] In some embodiments, the second elimination information indicates the index value of each sampling point that meets the condition within the range of Nt.

[0223] For example, if we need to determine the positions of the 8 sampling points with the highest power among Nt = 32 sampling points after the first sampling point, then each of these 32 sampling points can be indicated by indices 0 to 31. Each sampling point that meets the condition is then indicated by log2(32) = 5 bits. Therefore, a total of 40 bits are required.

[0224] In some embodiments, the second information indicates a combined index information, based on which information for all Nt' time sampling points can be determined.

[0225] For example, if we need to determine the positions of the 8 sampling points with the highest power among Nt = 32 sampling points after the first sampling point, then the positions of these 8 sampling points can have multiple combinations of comb(32,8). If we number each combination, then the index of the combination is (0 to comb(32,8)-1), which takes log2(comb(32,8)) bits.

[0226] In some embodiments, the first information is used to indicate the time offset of the first sampling point relative to the first reference point.

[0227] In some embodiments, the first reference time point is determined based on the following preset rules.

[0228] The starting point for sending the positioning reference signal;

[0229] The starting point for receiving the reference signal;

[0230] A specific absolute reference time, such as 00:00:00 in 1900 AD.

[0231] In some embodiments, the LMF sends first information to the terminal or to the base station, the first information being used to configure the first reference point time.

[0232] This disclosure also provides an apparatus for implementing any of the above methods. For example, an apparatus is provided that includes units or modules for implementing the steps performed by the terminal in any of the above methods. Alternatively, another apparatus is provided that includes units or modules for implementing the steps performed by a network device (e.g., an access network device, a core network functional node, a core network device, etc.) in any of the above methods.

[0233] It should be understood that the division of units or modules in the above device is only a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, the units or modules in the device can be implemented by a processor calling software: for example, the device includes a processor connected to a memory containing instructions. The processor calls the instructions stored in the memory to implement any of the above methods or to implement the functions of the units or modules in the above device. The processor can be, for example, a general-purpose processor, such as a Central Processing Unit (CPU) or a microprocessor, and the memory can be internal or external to the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits. The functionality of some or all of the units or modules can be achieved through the design of these hardware circuits, which can be understood as one or more processors. For example, in one implementation, the hardware circuit is an application-specific integrated circuit (ASIC). The functionality of some or all of the units or modules is achieved through the design of the logical relationships between the components within the circuit. In another implementation, the hardware circuit can be implemented using a programmable logic device (PLD). Taking a field-programmable gate array (FPGA) as an example, it can include a large number of logic gates. The connection relationships between the logic gates are configured through configuration files, thereby achieving the functionality of some or all of the units or modules. All units or modules of the above device can be implemented entirely through processor-called software, entirely through hardware circuits, or partially through processor-called software with the remaining parts implemented through hardware circuits.

[0234] In this embodiment, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction read and execute 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 relationships of hardware circuits. The logical relationships of the aforementioned hardware circuits are fixed or reconfigurable. For example, the processor is a hardware circuit implemented using 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 configuring the hardware circuit 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. Furthermore, 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), or a Deep Learning Processing Unit (DPU).

[0235] Figure 6a is a schematic diagram of the structure of the first node proposed in an embodiment of this disclosure. As shown in Figure 6a, the first node 6100 may include at least one of a transceiver module 6101 and a processing module 6102. The transceiver module 6101 is used to send first information to the second node. The first information indicates the time-domain position of the first sampling point and the time-domain position of the second sampling point. The second sampling point is the M sampling points with the highest power among the N consecutive sampling points following the first sampling point. At least one of the time-domain position of the first sampling point, the time-domain position of the second sampling point, the power of the first sampling point, and the power of the second sampling point is used for AI derivation. N and M are positive integers, and N is greater than or equal to M.

[0236] In some embodiments, the processing module 6102 determines N and / or M in at least one of the following ways: determined based on the configuration of the second node; determined based on protocol predefined criteria; or determined by the first node.

[0237] In some embodiments, the processing module 6102 determines N and / or M in the following manner: if the second node is not configured with N and / or M, N and / or M are determined based on protocol predefined definitions.

[0238] In some embodiments, the transceiver module 6101 is further configured to: send second information to the second node, the second information being used to indicate N and / or M determined by the first node.

[0239] In some embodiments, the transceiver module 6101 is configured to send second information if at least one of the following conditions is met: the N determined by the first node is different from the N configured by the second node, and the second information is used to indicate the N determined by the first node; the M determined by the first node is different from the M configured by the second node, and the second information is used to indicate the M determined by the first node; the N determined by the first node is different from the N predefined by the protocol, and the second information is used to indicate the N determined by the first node; the M determined by the first node is different from the M predefined by the protocol, and the second information is used to indicate the M determined by the first node.

[0240] In some embodiments, the first information includes first indication information and second indication information. The first indication information is used to indicate the time-domain location of the first sampling point, and the second indication information is used to indicate the time-domain location of the second sampling point. The second indication information is the index value of the M sampling points with the highest power among the N sampling points.

[0241] In some embodiments, the first information includes first indication information and second indication information. The first indication information is used to indicate the time-domain location of the first sampling point, and the second indication information is used to indicate the time-domain location of the second sampling point. The second indication information is a combined index corresponding to the M sampling points with the highest power, and each M sampling point in the N sampling points corresponds to a combined index.

[0242] In some embodiments, the first information includes first indication information and second indication information. The first indication information is used to indicate the time domain position of the first sampling point, and the second indication information is used to indicate the time domain position of the second sampling point. The first indication information is the offset of the time domain position of the first sampling point relative to the reference time domain position.

[0243] In some embodiments, the processing module 6102 determines the reference time domain position using at least one of the following methods: determination based on the starting time domain position of the transmitted reference signal; determination based on the starting time domain position of the received reference signal; determination based on absolute time.

[0244] In some embodiments, the method further includes: the first node receiving third information sent by the second node, the third information being used to configure a reference time domain position.

[0245] In some embodiments, AI derivation includes AI derivation for localization.

[0246] Figure 6b is a schematic diagram of the structure of the second node proposed in an embodiment of this disclosure. As shown in Figure 6b, the second node 6200 may include at least one of a transceiver module 6201 and a processing module 6202. The transceiver module 6201 is used to receive first information sent by the first node. The first information indicates the time-domain position of the first sampling point and the time-domain position of the second sampling point. The second sampling point is the M sampling points with the highest power among the N consecutive sampling points following the first sampling point. At least one of the time-domain position of the first sampling point, the time-domain position of the second sampling point, the power of the first sampling point, and the power of the second sampling point is used for AI derivation. N and M are positive integers, and N is greater than or equal to M.

[0247] In some embodiments, the transceiver module 6201 is further configured to: configure N and / or M to the first node.

[0248] In some embodiments, the transceiver module 6201 is further configured to: receive second information sent by the first node, the second information being used to indicate N and / or M determined by the first node.

[0249] In some embodiments, the second information is sent when at least one of the following conditions is met: the N determined by the first node is different from the N configured by the second node, and the second information is used to indicate the N determined by the first node; the M determined by the first node is different from the M configured by the second node, and the second information is used to indicate the M determined by the first node; the N determined by the first node is different from the N predefined by the protocol, and the second information is used to indicate the N determined by the first node; the M determined by the first node is different from the M predefined by the protocol, and the second information is used to indicate the M determined by the first node.

[0250] In some embodiments, the first information includes first indication information and second indication information. The first indication information is used to indicate the time-domain location of the first sampling point, and the second indication information is used to indicate the time-domain location of the second sampling point. The second indication information is the index value of the M sampling points with the highest power among the N sampling points.

[0251] In some embodiments, the first information includes first indication information and second indication information. The first indication information is used to indicate the time-domain location of the first sampling point, and the second indication information is used to indicate the time-domain location of the second sampling point. The second indication information is a combined index corresponding to the M sampling points with the highest power, and each M sampling point in the N sampling points corresponds to a combined index.

[0252] In some embodiments, the first information includes first indication information and second indication information. The first indication information is used to indicate the time domain position of the first sampling point, and the second indication information is used to indicate the time domain position of the second sampling point. The first indication information is the offset of the time domain position of the first sampling point relative to the reference time domain position.

[0253] In some embodiments, the reference time-domain position is determined in at least one of the following ways: based on the starting time-domain position of the transmitted reference signal; based on the starting time-domain position of the received reference signal; or based on absolute time.

[0254] In some embodiments, the transceiver module 6201 is further configured to: send third information to the first node, the third information being used to configure the reference time domain position.

[0255] In some embodiments, AI derivation includes AI derivation for localization.

[0256] Figure 7a is a schematic diagram of a communication device according to an embodiment of this disclosure. The communication device 7100 can be a network device, a terminal, or a chip, chip system, or processor that supports the network device in implementing any of the above methods; alternatively, the network device can be an access network device, a core network device, etc. Optionally, the terminal can be a user equipment, etc. The communication device 7100 can be used to implement the methods described in the above method embodiments; for details, please refer to the descriptions in the above method embodiments.

[0257] 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, such as a baseband processor or a central processing unit (CPU). The baseband processor can be used to process communication protocols and communication data, while the CPU can be used to control the communication device, execute programs, and process program data. The communication device 7100 is used to execute any of the above methods. Optionally, the communication device can be a base station, a baseband chip, a terminal device, a terminal device chip, a DU (Distributed Unit), or a CU (Computer Integrated Circuit), etc.

[0258] 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 also be located outside the communication device 7100.

[0259] 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 transceivers 7103 perform communication steps such as sending and / or receiving in the above method, such as step S2101, and the processor 7101 performs other steps.

[0260] In some embodiments, a transceiver may include a receiver and / or a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, etc., may be used interchangeably; the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc., may be used interchangeably; and the terms receiver, receiving unit, receiver, receiving circuit, etc., may be used interchangeably.

[0261] In some embodiments, the communication device 7100 may include one or more interface circuits 7104. Optionally, the interface circuit 7104 is connected to the memory 7102, and the interface circuit 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 circuit 7104 can read instructions stored in the memory 7102 and send the instructions to the processor 7101.

[0262] The communication device 7100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 7100 described in this 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 a standalone device or a part of a larger device. For example, the communication device may be: (1) a standalone integrated circuit IC, or chip, or chip system or subsystem; (2) a collection of one or more ICs, optionally, the IC collection may also include storage components for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, terminal device, smart terminal device, cellular phone, wireless device, handheld device, mobile unit, vehicle device, network device, cloud device, artificial intelligence device, etc.; (6) others, etc.

[0263] Figure 7b is a schematic diagram of the chip structure proposed in an embodiment of this disclosure. For cases where the communication device 7100 can be a chip or a chip system, please refer to the schematic diagram of the chip 7200 shown in Figure 7b, but it is not limited thereto.

[0264] Chip 7200 includes one or more processors 7201, which are used to perform any of the above methods.

[0265] In some embodiments, chip 7200 further includes one or more interface circuits 7202. Optionally, the interface circuit 7202 is connected to memory 7203, and the interface circuit 7202 can be used to receive signals from memory 7203 or other devices, and the interface circuit 7202 can be used to send signals to memory 7203 or other devices. For example, the interface circuit 7202 can read instructions stored in memory 7203 and send the instructions to processor 7201.

[0266] In some embodiments, the interface circuit 7202 performs communication steps such as sending and / or receiving in the above method, such as step S2101, and the processor 7201 performs other steps.

[0267] In some embodiments, the terms interface circuit, interface, transceiver pin, transceiver, etc., can be used interchangeably.

[0268] In some embodiments, chip 7200 further includes one or more memories 7203 for storing instructions. Optionally, all or part of the memories 7203 may be located outside of chip 7200.

[0269] This disclosure also proposes a storage medium storing instructions that, when executed on the communication device 7100, cause the communication device 7100 to perform 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 not limited thereto; it may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but not limited thereto; it may also be a temporary storage medium.

[0270] This disclosure also provides a program product that, when executed by the communication device 7100, causes the communication device 7100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0271] This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

Claims

1. A communication method, characterized in that, The method includes: The first node sends first information to the second node. The first information is used to indicate the time domain position of the first sampling point and the time domain position of the second sampling point. The second sampling point is the M sampling points with the highest power among the N consecutive sampling points after the first sampling point. Among them, at least one of the time-domain position of the first sampling point, the time-domain position of the second sampling point, the power of the first sampling point, and the power of the second sampling point is used for AI derivation; Wherein, N and M are positive integers, and N is greater than or equal to M.

2. The method according to claim 1, characterized in that, The N and / or the M are determined in at least one of the following ways: Determined based on the configuration of the second node; Determined based on protocol predefined definitions; Determined by the first node.

3. The method according to claim 1, characterized in that, The N and / or the M are determined in the following manner: If the second node is not configured with N and / or M, N and / or M are determined based on protocol predefined rules.

4. The method according to claim 2, characterized in that, The method further includes: The first node sends second information to the second node, the second information being used to indicate N and / or M as determined by the first node.

5. The method according to claim 4, characterized in that, The second message shall be sent if at least one of the following conditions is met: The N determined by the first node is different from the N configured by the second node, and the second information is used to indicate the N determined by the first node; The M determined by the first node is different from the M configured by the second node, and the second information is used to indicate the M determined by the first node; The N determined by the first node is different from the N predefined in the protocol, and the second information is used to indicate the N determined by the first node; The M determined by the first node is different from the M predefined in the protocol, and the second information is used to indicate the M determined by the first node.

6. The method according to any one of claims 1-5, characterized in that, The first information includes first indication information and second indication information. The first indication information is used to indicate the time domain position of the first sampling point, and the second indication information is used to indicate the time domain position of the second sampling point. The second indication information is the index value of the M sampling points with the highest power among the N sampling points.

7. The method according to any one of claims 1-5, characterized in that, The first information includes first indication information and second indication information. The first indication information is used to indicate the time domain position of the first sampling point, and the second indication information is used to indicate the time domain position of the second sampling point. The second indication information is a combination index corresponding to the M sampling points with the highest power, and each M sampling point in the N sampling points corresponds to a combination index.

8. The method according to any one of claims 1-7, characterized in that, The first information includes first indication information and second indication information. The first indication information is used to indicate the time domain position of the first sampling point, and the second indication information is used to indicate the time domain position of the second sampling point. The first indication information is the offset of the time domain position of the first sampling point relative to the reference time domain position.

9. The method according to claim 8, characterized in that, The reference time domain location is determined using at least one of the following methods: Determined based on the starting time-domain position of the transmitted reference signal; Determined based on the initial time-domain position of the received reference signal; Determined based on absolute time.

10. The method according to any one of claims 8-9, characterized in that, The method further includes: The first node receives third information sent by the second node, the third information being used to configure the reference time domain position.

11. The method according to any one of claims 1-10, characterized in that, The AI ​​inference includes AI inference for localization.

12. A communication method, characterized in that, The method includes: The second node receives the first information sent by the first node. The first information is used to indicate the time domain position of the first sampling point and the time domain position of the second sampling point. The second sampling point is the M sampling points with the highest power among the N consecutive sampling points after the first sampling point. Among them, at least one of the time-domain position of the first sampling point, the time-domain position of the second sampling point, the power of the first sampling point, and the power of the second sampling point is used for AI derivation; Wherein, N and M are positive integers, and N is greater than or equal to M.

13. The method according to claim 12, characterized in that, The method further includes: The second node configures the N and / or the M to the first node.

14. The method according to claim 13, characterized in that, The method further includes: The second node receives second information sent by the first node, the second information being used to indicate N and / or M determined by the first node.

15. The method according to claim 14, characterized in that, The second information is sent if at least one of the following conditions is met: The N determined by the first node is different from the N configured by the second node, and the second information is used to indicate the N determined by the first node; The M determined by the first node is different from the M configured by the second node, and the second information is used to indicate the M determined by the first node; The N determined by the first node is different from the N predefined in the protocol, and the second information is used to indicate the N determined by the first node; The M determined by the first node is different from the M predefined in the protocol, and the second information is used to indicate the M determined by the first node.

16. The method according to any one of claims 12-15, characterized in that, The first information includes first indication information and second indication information. The first indication information is used to indicate the time domain position of the first sampling point, and the second indication information is used to indicate the time domain position of the second sampling point. The second indication information is the index value of the M sampling points with the highest power among the N sampling points.

17. The method according to any one of claims 12-15, characterized in that, The first information includes first indication information and second indication information. The first indication information is used to indicate the time domain position of the first sampling point, and the second indication information is used to indicate the time domain position of the second sampling point. The second indication information is a combination index corresponding to the M sampling points with the highest power, and each M sampling point in the N sampling points corresponds to a combination index.

18. The method according to any one of claims 12-17, characterized in that, The first information includes first indication information and second indication information. The first indication information is used to indicate the time domain position of the first sampling point, and the second indication information is used to indicate the time domain position of the second sampling point. The first indication information is the offset of the time domain position of the first sampling point relative to the reference time domain position.

19. The method according to claim 18, characterized in that, The reference time domain location is determined using at least one of the following methods: Determined based on the starting time-domain position of the transmitted reference signal; Determined based on the initial time-domain position of the received reference signal; Determined based on absolute time.

20. The method according to any one of claims 18-19, characterized in that, The method further includes: The second node sends third information to the first node, the third information being used to configure the reference time domain position.

21. The method according to any one of claims 12-20, characterized in that, The AI ​​inference includes AI inference for localization.

22. A first node, characterized in that, include: The transceiver module is used to send first information to the second node. The first information is used to indicate the time domain position of the first sampling point and the time domain position of the second sampling point. The second sampling point is the M sampling points with the highest power among the N consecutive sampling points after the first sampling point. Among them, at least one of the time-domain position of the first sampling point, the time-domain position of the second sampling point, the power of the first sampling point, and the power of the second sampling point is used for AI derivation; Wherein, N and M are positive integers, and N is greater than or equal to M.

23. A second node, characterized in that, include: The transceiver module is used to receive first information sent by the first node. The first information is used to indicate the time domain position of the first sampling point and the time domain position of the second sampling point. The second sampling point is the M sampling points with the highest power among the N consecutive sampling points after the first sampling point. Among them, at least one of the time-domain position of the first sampling point, the time-domain position of the second sampling point, the power of the first sampling point, and the power of the second sampling point is used for AI derivation; Wherein, N and M are positive integers, and N is greater than or equal to M.

24. A first node, characterized in that, include: One or more processors; The processor is used to execute the communication method according to any one of claims 1-11.

25. A second node, characterized in that, include: One or more processors; The processor is used to execute the communication method according to any one of claims 12-21.

26. A communication system, characterized in that, include: A first node and a second node, wherein the first node is configured to implement the communication method according to any one of claims 1-11, and the second node is configured to implement the communication method according to any one of claims 12-21.

27. A storage medium, characterized in that, include: The storage medium stores instructions that, when executed on a communication device, cause the communication device to perform the communication method as described in any one of claims 1-11 or 12-21.

28. A program product, characterized in that, include: A computer program, when executed by a communication device, causes the communication device to perform the communication method as described in any one of claims 1-11 or 12-21.

Images