Beam measurement method and apparatus, communication device, communication system, and storage medium

Abstract

The present invention relates to the technical field of communications, and in particular to a beam measurement method and apparatus, a communication device, a communication system, and a storage medium. The beam measurement method comprises: a terminal receiving first measurement configuration information sent by a network device, the first measurement configuration information being used for measuring a first reference signal set; for each reference signal comprised in the first reference signal set, performing measurement by means of some receiving beams among receiving beams that need to be scanned by the terminal, to obtain a first measurement result; and predicting a first prediction result on the basis of the first measurement results, wherein the first prediction result comprises a measurement result obtained by predicting measurement of each reference signal by means of all receiving beams that need to be scanned by the terminal. According to the present invention, by reducing the receiving beam scanning factor, the number of times of beam scanning needing to be executed by a terminal can be reduced, thereby shortening the time consumption of the beam scanning process, reducing the measurement delay, and reducing the power consumption required for the terminal to perform beam measurement.

Description

Beam measurement method, device, communication equipment, communication system and storage medium Technical Field

[0001] The present disclosure relates to the field of communication technology, and in particular to a beam measurement method, apparatus, communication equipment, communication system, and storage medium. Background Art

[0002] In recent years, artificial intelligence (AI) technology has achieved continuous breakthroughs in numerous fields. The continued development of fields such as intelligent voice and computer vision has not only brought a rich variety of applications to smart terminals, but has also found widespread application in education, transportation, home living, healthcare, retail, security, and other fields. This has brought convenience to people's lives while also promoting industrial upgrading across various industries. AI technology is also rapidly interpenetrating with other disciplines, integrating knowledge from different disciplines while also providing new directions and methods for their development.

[0003] In 3GPP Release 18, a research project on artificial intelligence technology in wireless air interfaces was established within RAN1. This project aims to study how to introduce artificial intelligence technology into wireless air interfaces and explore how artificial intelligence technology can assist in improving wireless air interface transmission technologies.

[0004] For example, application cases of artificial intelligence may include but are not limited to: AI-based channel state information (CSI) enhancement, AI-based beam management, AI-based positioning, etc.

[0005] Summary of the Invention

[0006] The embodiments of the present disclosure provide a beam measurement method, apparatus, communication device, communication system, and storage medium to solve technical problems in related technologies.

[0007] According to a first aspect of an embodiment of the present disclosure, a beam measurement method is proposed, which is executed by a terminal, and the method includes: receiving first measurement configuration information sent by a network device, the first measurement configuration information being used to perform measurements on a first reference signal set; for each reference signal included in the first reference signal set, using part of the receiving beams that the terminal needs to scan to perform measurements, to obtain a first measurement result; and predicting a first prediction result based on the first measurement result, the first prediction result including a measurement result obtained by predicting, for each reference signal included in the first reference signal set, using all the receiving beams that the terminal needs to scan to perform measurements.

[0008] According to the second aspect of an embodiment of the present disclosure, a beam measurement method is proposed, which is executed by a network device. The method includes: sending first measurement configuration information to a terminal, wherein the first measurement configuration information is used to instruct the terminal to perform measurement for each reference signal included in a first reference signal set using a portion of the receiving beam that the terminal needs to scan.

[0009] According to a third aspect of an embodiment of the present disclosure, a beam measurement device is proposed, comprising: a first transceiver module for receiving first measurement configuration information sent by a network device, wherein the first measurement configuration information is used to perform measurements on a first reference signal set; a measurement module for performing measurements on each reference signal included in the first reference signal set using part of the receiving beams that the terminal needs to scan to obtain a first measurement result; and a prediction module for predicting a first prediction result based on the first measurement result, wherein the first prediction result includes a measurement result obtained by predicting the use of all the receiving beams that the terminal needs to scan for each reference signal included in the first reference signal set.

[0010] According to the fourth aspect of an embodiment of the present disclosure, a beam measurement device is proposed, which includes: a second transceiver module, used to send first measurement configuration information to a terminal, wherein the first measurement configuration information is used to instruct the terminal to perform measurement for each reference signal included in the first reference signal set using a part of the receiving beam that the terminal needs to scan.

[0011] According to a fifth aspect of an embodiment of the present disclosure, a terminal is proposed, comprising: one or more processors; wherein the terminal is used to execute the beam measurement method of the first aspect above.

[0012] According to a sixth aspect of an embodiment of the present disclosure, a network device is proposed, comprising: one or more processors; wherein the network device is used to execute the beam measurement method of the second aspect above.

[0013] According to the seventh aspect of an embodiment of the present disclosure, a communication device is proposed, comprising: one or more processors; wherein the processor is used to call instructions so that the communication device executes the beam measurement method of the first aspect above, and / or the beam measurement method of the second aspect above.

[0014] According to the eighth aspect of an embodiment of the present disclosure, a communication system is proposed, comprising a terminal and a network device, wherein the terminal is configured to implement the beam measurement method of the first aspect, and the network device is configured to implement the beam measurement method of the second aspect.

[0015] According to the ninth aspect of an embodiment of the present disclosure, a storage medium is proposed, which stores instructions. When the instructions are executed on a communication device, the communication device executes the beam measurement method of the first aspect and / or the beam measurement method of the second aspect.

[0016] According to an embodiment of the present disclosure, a terminal can use a portion of a receive beam to measure a reference signal configured by a network device, rather than using all receive beams. Consequently, by reducing the receive beam scanning factor, the number of beam scans required by the terminal can be reduced, which helps shorten the beam scanning process, reduces measurement latency, and also helps conserve the power consumption required by the terminal to perform beam measurements. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0018] FIG1 is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.

[0019] FIG2 is an interactive schematic diagram illustrating a beam measurement method according to an embodiment of the present disclosure.

[0020] FIG3 is a schematic flowchart of a beam measurement method according to an embodiment of the present disclosure.

[0021] FIG4A is a schematic flowchart showing a method of predicting L1-RSRP measurement according to an embodiment of the present disclosure.

[0022] FIG4B is a schematic flowchart showing a method of predicting L3-RSRP measurement according to an embodiment of the present disclosure.

[0023] FIG4C is a schematic flowchart showing a method of predicting L1-RSRP measurement based on L3-RSRP measurement according to an embodiment of the present disclosure.

[0024] FIG4D is a schematic flowchart illustrating a method of predicting L3-RSRP measurement based on L1-RSRP measurement according to an embodiment of the present disclosure.

[0025] FIG5A is a schematic flowchart showing a long-term prediction according to an embodiment of the present disclosure.

[0026] FIG5B is a schematic flowchart showing a short-term prediction according to an embodiment of the present disclosure.

[0027] FIG6 is a schematic flowchart showing another beam measurement method according to an embodiment of the present disclosure.

[0028] FIG7 is a schematic block diagram of a beam measurement device according to an embodiment of the present disclosure.

[0029] FIG8 is a schematic block diagram of another beam measurement device according to an embodiment of the present disclosure.

[0030] FIG9 is a schematic structural diagram of a communication device proposed in an embodiment of the present disclosure.

[0031] FIG10 is a schematic diagram of the structure of a chip proposed in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0032] Embodiments of the present disclosure provide a beam measurement method, apparatus, communication device, communication system, and storage medium.

[0033] In a first aspect, an embodiment of the present disclosure proposes a beam measurement method, which is executed by a terminal, and the method includes: receiving first measurement configuration information sent by a network device, the first measurement configuration information being used to perform measurements on a first reference signal set; for each reference signal included in the first reference signal set, using part of the receiving beams that the terminal needs to scan to perform measurements, to obtain a first measurement result; predicting a first prediction result based on the first measurement result, the first prediction result including a measurement result obtained by predicting, for each reference signal included in the first reference signal set, using all the receiving beams that the terminal needs to scan to perform measurements.

[0034] In the above embodiment, in response to the first measurement configuration information sent by the network device, the terminal can use a portion of the receive beams to measure the reference signal configured by the network device, and predict the measurement results of all receive beams based on the measurement results of the portion of the receive beams, without having to use all receive beams to measure the reference signal configured by the network device. Accordingly, by reducing the receive beam scanning factor, the number of beam scans required by the terminal can be reduced, which helps shorten the beam scanning process, reduces measurement latency, and also helps save power consumption required by the terminal to perform beam measurement.

[0035] In combination with some embodiments of the first aspect, in some embodiments, the method further includes: sending the first prediction result to the network device.

[0036] In combination with some embodiments of the first aspect. In some embodiments, the first reference signal set includes multiple reference signals, wherein the multiple reference signals correspond to different transmit beams of the network device; the first prediction result includes at least one of the following: a first beam index, the first beam index is used to identify the best transmit beam predicted from the multiple transmit beams corresponding to the multiple reference signals; a second beam index, the second beam index is used to identify the best receive beam predicted from all receive beams that the terminal needs to scan, the best receive beam is used to measure the reference signal corresponding to the best transmit beam; a reference signal received power (RSRP) measurement result of each reference signal included in the first reference signal set.

[0037] In conjunction with some embodiments of the first aspect, in some embodiments, the first measurement configuration information is used for layer 1 L1 measurement; or, the first measurement configuration information is used for layer 3 L3 measurement.

[0038] In combination with some embodiments of the first aspect. In some embodiments, the first prediction result includes the first beam index and the second beam index, and the method further includes: receiving second measurement configuration information sent by the network device, the second measurement configuration information is used to measure a first reference signal, the first reference signal includes a reference signal corresponding to the best transmit beam in the first reference signal set; using the best receive beam to measure the first reference signal to obtain a second measurement result; predicting a second prediction result based on the second measurement result, the second prediction result including a measurement result obtained by predicting the first reference signal using all receive beams that the terminal needs to scan for measurement.

[0039] In combination with some embodiments of the first aspect, in some embodiments, the method further includes: sending the second prediction result to the network device.

[0040] In combination with some embodiments of the first aspect, in some embodiments, the second prediction result includes an RSRP measurement result of the first reference signal.

[0041] In combination with some embodiments of the first aspect, in some embodiments, the first measurement configuration information is used for L1 measurement, and the second measurement configuration information is used for L1 measurement; or, the first measurement configuration information is used for L3 measurement, and the second measurement configuration information is used for L3 measurement.

[0042] In combination with some embodiments of the first aspect. In some embodiments, the first prediction result includes the first beam index and the second beam index, and the method further includes: receiving third measurement configuration information sent by the network device, the third measurement configuration information is used to measure a second reference signal, the second reference signal includes a reference signal corresponding to the best transmit beam in the second reference signal set; using the best receive beam to measure the second reference signal to obtain a third measurement result; and predicting a third prediction result based on the third measurement result, the third prediction result including a measurement result obtained by predicting the second reference signal using the best receive beam for measurement.

[0043] In combination with some embodiments of the first aspect, in some embodiments, the method further includes: sending the third prediction result to the network device.

[0044] In combination with some embodiments of the first aspect, in some embodiments, the third prediction result includes an RSRP measurement result of the second reference signal.

[0045] In combination with some embodiments of the first aspect, in some embodiments, the first measurement configuration information is used for L1 measurement, and the third measurement configuration information is used for L3 measurement; or, the first measurement configuration information is used for L3 measurement, and the third measurement configuration information is used for L1 measurement.

[0046] In combination with some embodiments of the first aspect, in some embodiments, the method further comprises: determining, based on prior information of the spatial domain, a portion of the receiving beams that the terminal needs to scan.

[0047] In combination with some embodiments of the first aspect. In some embodiments, the method further includes: for each reference signal included in the first reference signal set, using all receive beams that the terminal needs to scan to perform measurement at a first moment to obtain a fourth measurement result; and predicting a fourth measurement result based on the fourth measurement result, the fourth measurement result including part of the receive beams that the terminal needs to scan at a second moment, the first moment being prior to the second moment.

[0048] In combination with some embodiments of the first aspect, in some embodiments, the probability that the best receiving beam is included in the portion of receiving beams that the terminal needs to scan exceeds a threshold.

[0049] In combination with some embodiments of the first aspect, in some embodiments, the method further includes: sending terminal capability information to the network device, where the terminal capability information is used to indicate that the terminal supports beam prediction capability.

[0050] In conjunction with some embodiments of the first aspect, in some embodiments, the beam prediction capability includes at least one of the following: a beam prediction capability based on artificial intelligence (AI); a beam prediction capability based on a spatial prediction algorithm; a beam prediction capability for L1 measurement; or a beam prediction capability for L3 measurement.

[0051] In the second aspect, an embodiment of the present disclosure proposes a beam measurement method, which is executed by a network device, and the method includes: sending first measurement configuration information to a terminal, wherein the first measurement configuration information is used to instruct the terminal to perform measurement for each reference signal included in the first reference signal set using a portion of the receiving beam that the terminal needs to scan.

[0052] In the above embodiment, in response to the first measurement configuration information sent by the network device, the terminal can use a portion of the receive beams to measure the reference signal configured by the network device, and predict the measurement results of all receive beams based on the measurement results of the portion of the receive beams, without having to use all receive beams to measure the reference signal configured by the network device. Accordingly, by reducing the receive beam scanning factor, the number of beam scans required by the terminal can be reduced, which helps shorten the beam scanning process, reduces measurement latency, and also helps save power consumption required by the terminal to perform beam measurement.

[0053] In combination with some embodiments of the second aspect. In some embodiments, the method further includes: receiving a first prediction result sent by the terminal, wherein the first prediction result includes a measurement result obtained by measuring each reference signal included in the first reference signal set using all receive beams that the terminal needs to scan.

[0054] In combination with some embodiments of the second aspect. In some embodiments, the first reference signal set includes multiple reference signals, wherein the multiple reference signals correspond to different transmit beams of the network device; the first prediction result includes at least one of the following: a first beam index, the first beam index is used to identify the best transmit beam predicted from the multiple transmit beams corresponding to the multiple reference signals; a second beam index, the second beam index is used to identify the best receive beam predicted from all receive beams that the terminal needs to scan, the best receive beam is used to measure the reference signal corresponding to the best transmit beam; an RSRP measurement result of each reference signal included in the first reference signal set.

[0055] In conjunction with some embodiments of the second aspect, in some embodiments, the first measurement configuration information is used for L1 measurement; or, the first measurement configuration information is used for L3 measurement.

[0056] In combination with some embodiments of the second aspect. In some embodiments, the first prediction result includes the first beam index and the second beam index, and the method further includes: sending second measurement configuration information to the terminal, where the second measurement configuration information is used to instruct the terminal to use the best receiving beam for measurement for a first reference signal, where the first reference signal includes a reference signal corresponding to the best transmitting beam in the first reference signal set.

[0057] In combination with some embodiments of the second aspect. In some embodiments, the method further includes: receiving a second prediction result sent by the terminal, wherein the second prediction result includes a measurement result obtained by measuring all receiving beams that the terminal needs to scan for the first reference signal prediction.

[0058] In conjunction with some embodiments of the second aspect, in some embodiments, the second prediction result includes an RSRP measurement result of the first reference signal.

[0059] In conjunction with some embodiments of the second aspect, in some embodiments, the first measurement configuration information is used for L1 measurement, and the second measurement configuration information is used for L1 measurement; or, the first measurement configuration information is used for L3 measurement, and the second measurement configuration information is used for L3 measurement.

[0060] In combination with some embodiments of the second aspect. In some embodiments, the first prediction result includes the first beam index and the second beam index, and the method further includes: sending third measurement configuration information to the terminal, where the third measurement configuration information is used to instruct the terminal to use the best receiving beam for measurement for a second reference signal, where the second reference signal includes a reference signal corresponding to the best transmitting beam in a second reference signal set.

[0061] In combination with some embodiments of the second aspect. In some embodiments, the method further includes: receiving the third prediction result sent by the terminal, wherein the third prediction result includes a measurement result obtained by measuring all receiving beams that the terminal needs to scan for the second reference signal prediction.

[0062] In combination with some embodiments of the second aspect, in some embodiments, the third prediction result includes an RSRP measurement result of the second reference signal.

[0063] In conjunction with some embodiments of the second aspect, in some embodiments, the first measurement configuration information is used for L1 measurement, and the second measurement configuration information is used for L3 measurement; or, the first measurement configuration information is used for L3 measurement, and the second measurement configuration information is used for L1 measurement.

[0064] In combination with some embodiments of the second aspect, in some embodiments, the probability that the best receiving beam is included in the portion of receiving beams that the terminal needs to scan exceeds a threshold.

[0065] In combination with some embodiments of the second aspect, in some embodiments, the method further includes: receiving terminal capability information sent by the terminal, where the terminal capability information is used to indicate that the terminal supports beam prediction capability.

[0066] In conjunction with some embodiments of the second aspect, in some embodiments, the beam prediction capability includes at least one of the following: AI-based beam prediction capability; spatial prediction algorithm-based beam prediction capability; L1 measurement-based beam prediction capability; and L3 measurement-based beam prediction capability.

[0067] In a third aspect, an embodiment of the present disclosure proposes a beam measurement device, which includes: a first transceiver module for receiving first measurement configuration information sent by a network device, wherein the first measurement configuration information is used to perform measurements on a first reference signal set; a measurement module for performing measurements on each reference signal included in the first reference signal set using part of the receiving beams that the terminal needs to scan to obtain a first measurement result; and a prediction module for predicting a first prediction result based on the first measurement result, wherein the first prediction result includes a measurement result obtained by predicting the use of all the receiving beams that the terminal needs to scan for each reference signal included in the first reference signal set.

[0068] In the fourth aspect, an embodiment of the present disclosure proposes a beam measurement device, which includes: a second transceiver module, used to send first measurement configuration information to the terminal, and the first measurement configuration information is used to instruct the terminal to measure each reference signal included in the first reference signal set using a part of the receiving beam that the terminal needs to scan.

[0069] In a fifth aspect, an embodiment of the present disclosure proposes a terminal, comprising: one or more processors; wherein the terminal is used to execute the beam measurement method described in the first aspect and the optional embodiment of the first aspect.

[0070] In a sixth aspect, an embodiment of the present disclosure proposes a network device, comprising: one or more processors; wherein the network device is used to execute the beam measurement method described in the second aspect and the optional embodiment of the second aspect.

[0071] In the seventh aspect, an embodiment of the present disclosure proposes a communication device, which includes: one or more processors; one or more memories for storing instructions; wherein the processor is used to call the instructions so that the communication device executes the method described in the first and second aspects, and the optional embodiments of the first and second aspects.

[0072] In the eighth aspect, an embodiment of the present disclosure proposes a communication system, which includes: a terminal and a network device; wherein the terminal is configured to execute the method described in the first aspect and the optional embodiment of the first aspect, and the network device is configured to execute the method described in the second aspect and the optional embodiment of the second aspect.

[0073] In the ninth aspect, an embodiment of the present disclosure proposes a storage medium, which stores instructions. When the instructions are executed on a communication device, the communication device executes the method described in the first and second aspects, and the optional embodiments of the first and second aspects.

[0074] In a tenth aspect, an embodiment of the present disclosure proposes a program product. When the program product is executed by a communication device, the communication device executes the method described in the first and second aspects, and the optional embodiments of the first and second aspects.

[0075] In an eleventh aspect, an embodiment of the present disclosure proposes a computer program, which, when executed on a computer, enables the computer to execute the methods described in the first and second aspects, and the optional embodiments of the first and second aspects.

[0076] It is understandable that the above-mentioned terminals, network devices, communication devices, communication systems, storage media, program products, and computer programs are all used to execute the methods proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects of the corresponding methods and will not be repeated here.

[0077] The present disclosure provides a beam measurement method, apparatus, communication device, communication system, and storage medium. In some embodiments, the terms "beam measurement method" and "beam scanning method" are interchangeable with "measurement method," "information processing method," and "communication method." The terms "terminal" and "network device" are interchangeable with "beam measurement apparatus," "beam scanning apparatus," "measurement apparatus," and "communication apparatus." The terms "beam measurement system," "beam scanning system," "measurement system," and "communication system" are interchangeable with each other.

[0078] The embodiments of the present disclosure are not exhaustive and are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional embodiments in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional embodiments of other embodiments.

[0079] In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and / or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.

[0080] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

[0081] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular form, such as "a", "an", "the", "above", "said", "aforementioned", "this", etc., may mean "one and only one", or "one or more", "at least one", etc.

[0082] For example, when using articles such as “a”, “an”, and “the” in English in translation, the noun following the article can be understood as a singular expression or a plural expression.

[0083] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0084] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0085] In some embodiments, descriptions such as "at least one of A and B," "A and / or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); and in some embodiments, A and B (both A and B are executed). The above is also applicable when there are more branches such as A, B, and C.

[0086] In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The above is also applicable when there are more branches such as A, B, C, etc.

[0087] The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects and do not constitute any restrictions on the position, order, priority, quantity or content of the description objects. For the statement of the description objects, please refer to the description in the context of the claims or embodiments, and no unnecessary restrictions should be constituted due to the use of prefixes.

[0088] For example, if the description object is "field," the ordinal number preceding "field" in "first field" and "second field" does not restrict the position or order of the "fields." "First" and "second" do not restrict whether the modified "fields" are in the same message, nor do they restrict the order of the "first field" and "second field." For another example, if the description object is "level," the ordinal number preceding "level" in "first level" and "second level" does not restrict the priority of the "levels." For another example, the number of description objects is not restricted by the ordinal number and can be one or more. For example, in the case of "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 description object is "device," "first device" and "second device" can be the same or different devices, and their types can be the same or different. For another example, if the description object is "information," "first information" and "second information" can be the same or different information, and their content can be the same or different.

[0089] In some embodiments, “including A,” “comprising A,” “used to indicate A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0090] In some embodiments, terms such as "in response to...", "in response to determining...", "in the case of...", "at the time of...", "when...", "if...", "if...", etc. can be used interchangeably.

[0091] In some embodiments, terms such as "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not less than", and "above" can be replaced with each other, and terms such as "less than", "less than or equal to", "not greater than", "less than", "less than or equal to", "not more than", "lower than", "lower than or equal to", "not higher than", and "below" can be replaced with each other.

[0092] In some embodiments, devices and the like can be interpreted as physical or virtual, and their names are not limited to those in the embodiments.

[0093] The recorded names, "device", "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject" and other terms can be used interchangeably.

[0094] In some embodiments, "network" can be interpreted as devices included in the network (eg, access network equipment, core network equipment, etc.).

[0095] In some embodiments, the terms "access network device (AN device)", "radio access network device (RAN device)", "base station (BS)", "radio base station" "fixed station", "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", "bandwidth part (BWP)" and the like may be used interchangeably.

[0096] In some embodiments, the terms "terminal", "terminal device", "user equipment (UE)", "user terminal", "mobile station (MS)", "mobile terminal (MT)", subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, etc. can be used interchangeably.

[0097] In some embodiments, the access network device, the core network device, or the network device can be replaced by a terminal. For example, the various embodiments of the present disclosure can also be applied to a structure in which the communication between the access network device, the core network device, or the network device and the terminal is replaced by communication between multiple terminals (for example, device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, it is also possible to set the structure in which the terminal has all or part of the functions of the access network device. In addition, terms such as "uplink" and "downlink" can also be replaced by terms corresponding to communication between terminals (for example, "side"). For example, uplink channels, downlink channels, etc. can be replaced by side channels, and uplinks, downlinks, etc. can be replaced by side links.

[0098] In some embodiments, the terminal may be replaced by an access network device, a core network device, or a network device. In this case, the access network device, the core network device, or the network device may have a structure that has all or part of the functions of the terminal.

[0099] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0100] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0101] In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.

[0102] FIG1 is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.

[0103] As shown in FIG1 , a communication system 100 includes a terminal 101 and a network device 102 , wherein the network device includes at least one of the following: an access network device and a core network device.

[0104] In some embodiments, the terminal includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited thereto.

[0105] In some embodiments, the terminal may support beam prediction capability. It should be noted that the beam prediction capability involved in the present disclosure may also be described as beam scanning enhancement capability, receive beam scanning capability, beam scanning factor adjustment capability, measurement enhancement capability, beam prediction capability, beam sweeping enhancement capability, RX beam sweeping capability, beam sweeping factor adjust capability, beam sweeping factor reduce capability, measurement enhancement capability, etc., which is not limited in the present disclosure.

[0106] In some embodiments, the beam prediction capability refers to a capability that allows a terminal to perform measurement using only partial RX beam(s) for a configured reference signal, rather than using all RX beams.

[0107] In some embodiments, beam prediction capability refers to the ability of a terminal to use a portion of receive beams to measure a configured reference signal and predict an optimal beam based on the measurement results of these portion of receive beams. The optimal beam includes: the best receive beam among all receive beams and / or the best transmit beam among the transmit beams corresponding to the configured reference signal.

[0108] In some embodiments, beam prediction capability refers to the ability of a terminal to use part of the receive beams to measure the configured reference signals and, based on the measurement results of these receive beams, predict the measurement results of all receive beams. Alternatively, beam prediction capability refers to the ability of a terminal to use part of the receive beams to measure the configured reference signals and, based on the measurement results of these receive beams, predict the measurement results of the remaining receive beams. The measurement results may include, but are not limited to, the Reference Signal Received Power (RSRP) of layer 1 (L1) and the RSRP of layer 3 (L3).

[0109] In some embodiments, the beam prediction capability includes at least one of the following: beam prediction capability based on AI; beam prediction capability based on a prediction algorithm based on spatial domain; beam prediction capability for L1 measurement; beam prediction capability for L3 measurement. In some possible implementations, the terminal may implement beam prediction capability through an AI model, AI functionality, AI feature, etc. In other possible implementations, the terminal may implement beam prediction capability based on a spatial prediction algorithm, spatial interpolation, etc. In some possible implementations, the beam measurement capability may be used for LI measurement and / or L3 measurement.

[0110] In some embodiments, the access network device is, for example, a node or device that accesses a terminal to a wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a Wi-Fi system, but is not limited thereto.

[0111] In some embodiments, a core network device may be a device including one or more network elements, or may be multiple devices or device groups, each including all or part of the one or more network elements. The network element may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).

[0112] In some embodiments, the technical solution of the present disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can be transformed into internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0113] In some embodiments, the access network device can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit. The CU-DU structure can be used to split the protocol layer of the access network device, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

[0114] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution proposed in the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution proposed in the embodiment of the present disclosure is also applicable to similar technical problems.

[0115] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1 , or a portion thereof, but are not limited thereto. The entities shown in FIG1 are illustrative only. The communication system may include all or part of the entities shown in FIG1 , or may include other entities outside of FIG1 . The number and form of the entities are arbitrary, and the entities may be physical or virtual. The connection relationships between the entities are illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0116] The embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), future radio access (FRA), new radio access technology (RAT), new radio (NR), new radio access (NX), future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X), systems utilizing other communication methods, and next-generation systems based on and extending these methods. Furthermore, multiple systems may be combined (for example, a combination of LTE or LTE-A with 5G).

[0117] FIG2 is an interactive schematic diagram illustrating a beam measurement method according to an embodiment of the present disclosure.

[0118] As shown in Figure 2, the beam measurement method includes:

[0119] Step S201: The terminal sends terminal capability information to a network device.

[0120] In some embodiments, the terminal capability information is used to indicate that the terminal supports beam prediction capability.

[0121] In one possible implementation, the terminal capability information includes first information indicating beam prediction capabilities. The terminal capability information may also include other information in addition to the first information, the other information indicating other capabilities supported by the terminal. In this case, the network device may receive the first information and determine, based on the first information, whether the terminal supports beam prediction capabilities.

[0122] In one possible implementation, the terminal capability information includes second information and third information, where the second information indicates at least one terminal capability, and the third information indicates whether the terminal supports the at least one terminal capability indicated by the second information. In this case, the network device may receive the second and third information; further, based on the fact that the at least one terminal capability indicated by the second information includes the beam prediction capability and the third information indicating that the terminal supports the beam prediction capability indicated by the second information, the network device may determine that the terminal supports the beam prediction capability.

[0123] In one possible implementation, the terminal capability information may include a reduced RX beam sweeping factor. The RX beam sweeping factor represents the number of RX beams that the terminal needs to scan for a reference signal. The current protocol specifies a RX beam sweeping factor of 8. If the terminal capability information includes the reduced RX beam sweeping factor, it indicates that the number of RX beams that the terminal needs to scan is less than 8, indicating that the terminal supports beam prediction capabilities.

[0124] In some embodiments, the network device receives the terminal capability information sent by the terminal.

[0125] In some embodiments, the network device determines, based on the terminal capability information, that the terminal supports beam prediction capabilities. In some embodiments, the network device determines, based on the terminal capability information, the number of partial receive beams that the terminal needs to scan for a reference signal. In some embodiments, the network device determines, based on the terminal capability information, a reduced receive beam scanning factor.

[0126] In some embodiments, the network device determines measurement configuration information to be configured for the terminal based on the terminal capability information. In some possible implementations, the network device determines first measurement configuration information, second measurement configuration information, and / or third measurement configuration information to be configured for the terminal based on the terminal capability information. For specific implementations of the first measurement configuration information, the second measurement configuration information, and the third measurement configuration information, please refer to the embodiments described below.

[0127] Step S202: The network device sends first measurement configuration information to the terminal.

[0128] In some embodiments, the first measurement configuration information is used to perform measurement on a first reference signal set, wherein the first reference signal set includes one or more reference signals (RS).

[0129] In a possible implementation, the first measurement configuration information is used for L1 measurement. Alternatively, the first measurement configuration information is used for L3 measurement.

[0130] In one possible implementation, the first measurement configuration information is used to measure multiple reference signals (RSs). The multiple reference signals included in the first reference signal set may include: multiple reference signals for L1 measurement, or multiple reference signals for L3 measurement. In one possible implementation, different reference signals may correspond to different transmit beam directions.

[0131] In a possible implementation, the first measurement configuration information is used to measure one reference signal (one RS). In a possible implementation, the one reference signal corresponds to a best transmit beam (best TX beam) reported by the terminal.

[0132] In some embodiments, the terminal supports beam prediction capability, and the first measurement configuration information is used to instruct the terminal to perform measurement using part of the receiving beams that the terminal needs to scan for each reference signal included in the first reference signal set.

[0133] In one possible implementation, the first reference signal set is configured for L1 measurement, and the second reference signal set is configured for L3 measurement; or the first reference signal set is configured for L3 measurement, and the second reference signal set is configured for L1 measurement. The second reference signal set includes one or more reference signals.

[0134] In some embodiments, the terminal receives first measurement configuration information sent by the network device.

[0135] In step S203 , the terminal uses part of the receiving beam to perform measurement and makes predictions based on the measurement results.

[0136] In some embodiments, the terminal measures each reference signal included in the first reference signal set using a portion of the receive beams that the terminal needs to scan to obtain a first measurement result. In some possible implementations, the first measurement result includes a first L1 measurement result or a first L3 measurement result.

[0137] In some embodiments, the terminal predicts a first prediction result based on the first measurement result. In some possible implementations, the first prediction result includes a first L1 prediction result or a first L3 prediction result.

[0138] In some embodiments, the first prediction result includes: for each reference signal included in the first reference signal set, predicting a measurement result obtained by performing measurement using all receive beams that the terminal needs to scan.

[0139] It should be noted that, in related technologies, the terminal usually uses all the receiving beams that the terminal needs to scan to measure each reference signal, while in the embodiments of the present disclosure, the terminal can use part of the receiving beams that the terminal needs to scan to measure each reference signal, and predict the measurement results of measuring each reference signal using the remaining receiving beams. This can reduce the number of beam scans that the terminal needs to perform, which is beneficial to shortening the time consumption of the beam scanning process and reducing the measurement delay.

[0140] In one possible implementation, the first prediction result includes at least one of the following: a first beam index; a second beam index; an RSRP measurement result of each reference signal included in the first reference signal set. The first beam index is used to identify the best transmit beam predicted from multiple transmit beams corresponding to multiple reference signals. The second beam index is used to identify the best receive beam predicted from all receive beams that the terminal needs to scan. In one possible implementation, the best receive beam is used to measure the reference signal corresponding to the best transmit beam. It should be noted that, in the related art, the RSRP measurement result of each reference signal, the beam index of the best transmit beam, and / or the beam index of the best receive beam are obtained by measurement, not prediction.

[0141] In some embodiments, the best receiving beam identified by the second beam index may include one or more receiving beams.

[0142] In one possible implementation, the terminal needs to scan a first number of receive beams. In this case, in step S203, the terminal uses a second number of receive beams for measurement of each reference signal, where the second number is smaller than the first number. In a further embodiment, the number of optimal receive beams identified by the second beam index is a third number, where the third number is smaller than the first number. The second number and the third number may be the same or different, and this disclosure is not limited thereto.

[0143] In some embodiments, the probability that the best receiving beam is included in the portion of receiving beams that the terminal needs to scan exceeds a threshold.

[0144] It should be noted that the thresholds referred to in this disclosure can also be described as accuracy. In this case, the above embodiment can also be described as: the terminal supports predicting the optimal receive beam with accuracy. For the specific method of determining the threshold, please refer to the embodiments shown below and will not be described in detail here.

[0145] Step S204: The terminal sends the first prediction result to the network device.

[0146] In some embodiments, the network device may receive a first prediction result.

[0147] In a further embodiment, the network device may determine the second measurement configuration information and / or the third measurement configuration information according to the first prediction result.

[0148] In some embodiments, if the first prediction result does not include the RSRP measurement result of each reference signal in the first reference signal set, and the first prediction result includes the first beam index, the network device determines the second measurement configuration information according to the first prediction result.

[0149] In some embodiments, the first prediction result includes a first beam index and a second beam index, that is, the terminal can determine the optimal transmit beam and the optimal receive beam. In some possible implementations, the terminal can send the first beam index to the network device, that is, the network device can determine the optimal transmit beam based on the first beam index.

[0150] In some embodiments, the network device sends second measurement configuration information to the terminal. In some possible implementations, the second measurement configuration information is used to measure a first reference signal. The first reference signal includes a reference signal corresponding to a best transmit beam in the first reference signal set.

[0151] In some possible implementations, the terminal supports a beam prediction capability, and the second measurement configuration information is used to instruct the terminal to use an optimal receiving beam to perform measurement on the first reference signal.

[0152] In some embodiments, the terminal receives second measurement configuration information. In further embodiments, in response to the second measurement configuration information, the terminal measures the first reference signal using the optimal receive beam to obtain a second measurement result. In further embodiments, the terminal predicts a second prediction result based on the second measurement result. The second prediction result includes a measurement result obtained by predicting measurements of the first reference signal using all receive beams that the terminal needs to scan. In further embodiments, the terminal sends the second prediction result to the network device.

[0153] In some embodiments, the network device receives the second prediction result from the terminal.

[0154] In some embodiments, the second prediction result includes an RSRP measurement result of the first reference signal.

[0155] In some embodiments, the first measurement configuration information is used for L1 measurement, and the second measurement configuration information is used for L1 measurement. Alternatively, the first measurement configuration information is used for L3 measurement, and the second measurement configuration information is used for L3 measurement.

[0156] According to the above embodiment, through the first measurement configuration information and the first prediction result, the first reference signal corresponding to the optimal transmit beam can be selected from the multiple reference signals included in the first reference signal set, and then the beam measurement is completed through the second measurement configuration information and the second prediction result.

[0157] In some embodiments, regardless of whether the first prediction result includes the RSRP measurement result of each reference signal in the first reference signal set, if the first prediction result includes the first beam index, the network device determines the third measurement configuration information according to the first prediction result.

[0158] In some embodiments, the first prediction result includes a first beam index and a second beam index, that is, the terminal can determine the optimal transmit beam and the optimal receive beam. In some possible implementations, the terminal can send the first beam index to the network device, that is, the network device can determine the optimal transmit beam based on the first beam index.

[0159] In some embodiments, the network device sends third measurement configuration information to the terminal. In some possible implementations, the third measurement configuration information is used to measure a second reference signal, wherein the second reference signal includes a reference signal corresponding to the best transmit beam in the second reference signal set.

[0160] In some possible implementations, the terminal supports a beam prediction capability, and the third measurement configuration information is used to instruct the terminal to use an optimal receiving beam to perform measurement on the second reference signal.

[0161] In some embodiments, the terminal receives third measurement configuration information. In further embodiments, in response to the third measurement configuration information, the terminal measures the second reference signal using the optimal receive beam to obtain a third measurement result. In further embodiments, the terminal predicts a third prediction result based on the third measurement result. The third prediction result includes a measurement result obtained by predicting measurements of the second reference signal using all receive beams that the terminal needs to scan. In further embodiments, the terminal sends the third prediction result to the network device.

[0162] In some embodiments, the network device receives the third prediction result from the terminal.

[0163] In some embodiments, the third prediction result includes an RSRP measurement result of the second reference signal.

[0164] In some embodiments, the first measurement configuration information is used for L1 measurement, and the third measurement configuration information is used for L3 measurement. Alternatively, the first measurement configuration information is used for L3 measurement, and the third measurement configuration information is used for L1 measurement.

[0165] According to the above embodiment, since there is a spatial correlation between the transmit beam corresponding to the first reference signal set and the transmit beam corresponding to the second reference set, the second reference signal corresponding to the optimal transmit beam can be selected from the multiple reference signals included in the second reference signal set through the first measurement configuration information and the first prediction result, and then the measurement of the second reference signal set can be completed through the third measurement configuration information and the third prediction result, without performing measurement on each reference signal in the second reference signal set.

[0166] The communication method involved in the embodiments of the present disclosure may include at least one of steps S201 to S204. For example, step S201 may be implemented as an independent embodiment, step S202 may be implemented as an independent embodiment, step S203 may be implemented as an independent embodiment, step S204 may be implemented as an independent embodiment, steps S201+S202 may be implemented as an independent embodiment, and steps S202+S203+S204 may be implemented as independent embodiments, but the present invention is not limited thereto.

[0167] In some embodiments, steps S201 , S202 , S203 , and S204 may be executed in a swapped order or simultaneously.

[0168] In some embodiments, steps S201 , S202 , S203 , and S204 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0169] In some embodiments, reference may be made to other optional embodiments described before or after the description corresponding to FIG. 2 .

[0170] In some embodiments, the terminal may perform measurements on the serving cell and the neighboring cells based on L1-RSRP measurement and / or L3-RSRP measurement.

[0171] In some embodiments, for L1-RSRP and / or L3-RSRP measurements, the terminal needs to perform beam sweeping. The number of times the terminal needs to perform beam sweeping is related to a receive beam sweeping factor (RX beam sweeping factor). In some possible implementations, the receive beam sweeping factor is typically the number of receive beams of the terminal.

[0172] In one possible implementation, the network device may configure a reference signal set for the terminal for beam measurement, where each reference signal included in the reference signal set corresponds to a different transmit beam of the network device. For each reference signal included in the reference signal set, the terminal may use each receive beam to perform measurements to obtain the beam measurement quality corresponding to each receive beam. The terminal may then determine the receive beam corresponding to the best beam measurement quality as the best receive beam, and the terminal may determine the transmit beam corresponding to the best beam measurement quality as the best transmit beam. For example, for L1-RSRP measurement, the network device configures four transmit beams and the terminal configures eight receive beams, i.e., the receive beam scanning factor is 8. The terminal then uses these eight receive beams to perform measurements for each of the four transmit beams to obtain measurement results for each beam pair, requiring a total of 4*8=32 measurements.

[0173] In the above embodiment, the terminal needs to perform a large number of beam scans, which leads to problems such as a long beam scanning process, a long measurement delay, and high power consumption required by the terminal to perform beam measurement.

[0174] In a first aspect, embodiments of the present disclosure provide a beam measurement method. Figure 3 is a schematic flow chart illustrating a beam measurement method according to an embodiment of the present disclosure. The beam measurement method illustrated in this embodiment can be executed by a terminal.

[0175] As shown in FIG3 , the beam measurement method may include the following steps:

[0176] In step S301, first measurement configuration information sent by a network device is received, where the first measurement configuration information is used to perform measurement on a first reference signal set.

[0177] In step S302, for each reference signal included in the first reference signal set, measurement is performed using part of the receiving beam that the terminal needs to scan to obtain a first measurement result.

[0178] In step S303, a first prediction result is predicted based on the first measurement result, where the first prediction result includes a measurement result obtained by measuring each reference signal included in the first reference signal set using all receive beams that the terminal needs to scan.

[0179] For example, a terminal receives first measurement configuration information sent by a network device, where the first measurement configuration information is used to perform measurements on a first reference signal set. The first reference signal set includes X (X is a positive integer, X ≥ 1) reference signals. The number of total receive beams that the terminal needs to scan is N (N is a positive integer, N>1). The terminal can use M receive beams to measure each of the X reference signals to obtain a first measurement result, where M<N (M is a positive integer, M≥1). Further, the terminal can predict a first prediction result based on the first measurement result, where the first prediction result includes a measurement result obtained by predicting each of the X reference signals using N receive beams. In this case, in the embodiment of the present disclosure, the terminal adjusts the value of the receive beam scanning factor from N to M, and the terminal needs to perform a total of X*M measurements, while in the related art, the terminal needs to perform X*N measurements.

[0180] In some embodiments, the first reference signal set includes one or more reference signals, wherein different reference signals correspond to different transmit beams.

[0181] In some embodiments, the first measurement information is used for L1 measurement. In some possible implementations, the first reference signal includes one or more reference signals for L1 measurement, where different reference signals correspond to different fine beams.

[0182] In some embodiments, the first measurement information is used for L3 measurement. In some possible implementations, the first reference signal includes one or more reference signals for L3 measurement, wherein different reference signals correspond to different rough beams.

[0183] In some embodiments, the total number of receiving beams that the terminal needs to scan is agreed upon by the protocol. For example, the total number of receiving beams that the terminal needs to scan is N, and typically N=8.

[0184] In some embodiments, the number of partial receive beams that the terminal needs to scan is determined based on the terminal's capabilities. For example, the number of partial receive beams that the terminal needs to scan is M, where M=3. In some embodiments, the first prediction result may include a first measurement result and a fourth prediction result. The fourth prediction result is a measurement result obtained by the terminal predicting the use of the remaining portion of the receive beams that the terminal needs to scan for each reference signal in the first reference signal set. For example, N=8, M=3, after obtaining the first measurement results of the three receive beams, the terminal can predict the measurement results of the remaining five receive beams to obtain a fourth prediction result, and then use the first measurement result and the fourth prediction result as the first prediction result.

[0185] In some embodiments, the first prediction result may include a fifth prediction result. The fifth prediction result is a measurement result obtained by the terminal using all receive beams that the terminal needs to scan for each reference signal in the first reference signal set. For example, if N=8 and M=3, after obtaining the first measurement results for these three receive beams, the terminal may perform an overall prediction on the measurement results for these eight receive beams to obtain a fifth prediction result, and then use the fifth prediction result as the first prediction result.

[0186] It should be noted that the embodiment shown in FIG. 3 can be implemented independently or in combination with at least one other embodiment in the present disclosure. The specific selection can be made as needed and the present disclosure does not limit it.

[0187] Optionally, the network device may send first measurement configuration information to the terminal.

[0188] According to an embodiment of the present disclosure, in response to first measurement configuration information sent by a network device, a terminal can use a portion of a receive beam to measure a reference signal configured by the network device, and predict the measurement results of all receive beams based on the measurement results of the portion of the receive beam, without having to use all receive beams to measure the reference signal configured by the network device. Accordingly, by reducing the receive beam scanning factor, the number of beam scans required by the terminal can be reduced, which helps shorten the beam scanning process, reduces measurement latency, and also helps save the power consumption required by the terminal to perform beam measurement.

[0189] In a further embodiment, the terminal may send the first prediction result to the network device.

[0190] In some possible implementations, the first prediction result includes at least one of the following: a first beam index; a second beam index; and an RSRP measurement result of each reference signal included in the first reference signal set.

[0191] The first beam index is used to identify the best transmission beam predicted from multiple transmission beams corresponding to multiple reference signals.

[0192] Optionally, the network device may receive a first prediction result sent by the terminal. In a further embodiment, the network device may determine second measurement configuration information and / or third measurement configuration information based on the first prediction result. The second measurement configuration information is used to measure a first reference signal, where the first reference signal includes a reference signal corresponding to the optimal transmit beam in the first reference signal set. The third measurement configuration information is used to measure a second reference signal, where the second reference signal includes a reference signal corresponding to the optimal transmit beam in the second reference signal set. In a further embodiment, the network device may send the second measurement configuration information and / or the third measurement configuration information to the terminal.

[0193] In some embodiments, the first prediction result includes a first beam index and a second beam index, and the terminal receives second measurement configuration information sent by the network device, where the second measurement configuration information is used to measure the first reference signal. In further embodiments, the terminal uses the optimal receive beam to measure the first reference signal to obtain the second measurement result.

[0194] In some embodiments, after obtaining the second measurement result, the terminal may further predict a second measurement result based on the second measurement result. The second prediction result includes a measurement result obtained by performing measurements using all receive beams that the terminal needs to scan for the first reference signal prediction. In further embodiments, the terminal may send the second prediction result to the network device.

[0195] In some possible implementations, the second prediction result includes an RSRP measurement result of the first reference signal.

[0196] Optionally, the network device may receive the second prediction result sent by the terminal.

[0197] In some embodiments, the first measurement configuration information is used for L1 measurement, and the second measurement configuration information is used for L1 measurement; or, the first measurement configuration information is used for L3 measurement, and the second measurement configuration information is used for L3 measurement.

[0198] In some embodiments, since L1 measurement is related to data transmission and a higher beam gain is desired, the terminal may perform receive beam scanning based on a fine beam for the L1 measurement.

[0199] In some embodiments, since L3 measurement is related to cell handover and a wider coverage range is desired, the terminal may perform receive beam scanning based on a rough beam for L3 measurement.

[0200] In order to help those skilled in the art better understand the embodiments of the present disclosure, the following will first illustrate the cases of "the first measurement configuration information is used for L1 measurement, and the second measurement configuration information is used for L1 measurement" and "the first measurement configuration information is used for L1 measurement, and the second measurement configuration information does not exist" with reference to Figure 4A, and then illustrate the cases of "the first measurement configuration information is used for L3 measurement, and the second measurement configuration information is used for L3 measurement" and "the first measurement configuration information is used for L3 measurement, and the second measurement configuration information does not exist" with reference to Figure 4B.

[0201] FIG4A is a schematic flowchart showing a method of predicting L1-RSRP measurement according to an embodiment of the present disclosure.

[0202] As shown in Figure 4A, in step S4101, the network device sends first measurement configuration information to the terminal. The first measurement configuration information is used to instruct to perform L1-RSRP measurement on multiple reference signals included in the first reference signal set. In other words, configure L1-RSRP measurement for multiple RSs.

[0203] In step S4102, the terminal uses the portion of the receive beams that need to be scanned to perform L1-RSRP measurement on each of the multiple reference signals to obtain a first measurement result. That is, perform L1-RSRP measurement for each TX beam by M1RX beam(s).

[0204] In step S4103, the terminal predicts a first prediction result based on the first measurement result, that is, predicts the best TX beam and the best M2RX beam(s).

[0205] In step S4104, the terminal sends a first prediction result to the network device. The first prediction result may include a first beam index (the best TX beam index). In other words, the terminal reports the best TX beam index.

[0206] In step S4105, the network device sends second measurement configuration information to the terminal. The second measurement configuration information is used to instruct the terminal to perform L1-RSRP measurement on the first reference signal. The first reference signal is a reference signal (one RS) corresponding to the best transmit beam among multiple reference signals included in the first reference signal set. In other words, configure L1-RSRP measurement for one RS.

[0207] In step S4106, the terminal uses the best receive beam to perform L1-RSRP measurement on the first reference signal to obtain a second measurement result. That is, perform L1-RSRP measurement for one TX beam by M2RX beam(s).

[0208] In step S4107, the terminal predicts a second prediction result based on the second measurement result, that is, predicts L1-RSRP measurements.

[0209] In step S4108, the terminal sends a second prediction result to the network device, where the second prediction result may include an L1-RSRP measurement result, that is, Report L1-RSRP measurements.

[0210] It should be noted that in step S4104, if the first prediction result sent by the terminal to the network device includes the L1-RSRP measurement result, the measurement is completed and steps S4105-S4108 do not need to be executed. This situation corresponds to "the first measurement configuration information is used for L1 measurement and no second measurement configuration information exists." In step S4104, if the first prediction result sent by the terminal to the network device does not include the L1-RSRP measurement result, the measurement is not completed and steps S4105-S4108 need to be executed. This situation corresponds to "the first measurement configuration information is used for L1 measurement and the second measurement configuration information is used for L1 measurement."

[0211] In one possible embodiment, in step S4106, since the terminal only needs to measure the first reference signal, the terminal may also perform L1-RSRP measurement on the first reference signal using all receive beams that need to be scanned. That is, L1-RSRP measurement is performed for one TX beam by eight RX beams. In this case, the number of beam scans required by the terminal can still be reduced from the perspective of the overall beam measurement process, which helps shorten the beam scanning process and reduce measurement latency.

[0212] Furthermore, it should be noted that regardless of whether M1 and M2 are equal, the partial receive beams used by the terminal in step S4102 may differ from the partial receive beams used by the terminal in step S4106. For example, the terminal is configured with eight receive beams, designated RXbeam#1 to RXbeam#8, with M1 = M2 = 3. In step S4102, assuming the terminal selects the partial receive beams to be measured based on the uniform spatial distribution of these eight receive beams, the M1 receive beams used by the terminal may be RXbeam#2, RXbeam#5, and RXbeam#8. In step S4106, since the optimal beam pair has been determined, assuming RXbeam#5 and RXbeam#8 are not in the direction of the optimal beam pair, the M2 receive beams used by the terminal may be RXbeam#1, RXbeam#2, and RXbeam#3.

[0213] As a possible embodiment, For L1 measurement, UE needs to perform RX beam sweeping based on fine beam and find the best RX beam then calculate RSRP. For example, UE will measure RSRPs for all 8RX beams. However, since there are some relations between different RSRPs from different RX beams. UE can only measure part of the RX beams and then predict the other beams by AI method or other advanced method. all 8beams.Based on 8beams,UE can choose the best beam index.Then UE only needs to measure L1-RSRP based on the best predicted RX beam.In this way,UE can apply reduced RX beam sweeping based on UE capability.

[0214] As a possible embodiment, Table 1 may be described as follows in the protocol:

[0215] Table 1: Measurement period TL1-RSRP_Measurement_Period_SSB for FR2

[0216] The value of TL1-RSRP_Measurement_Period_SSB is defined in Table 9.5.4.1-1 for FR1.The value of TL1-RSRP_Measurement_Period_SSB is defined in Table 9.5.4.1-2 for FR2 when highSpeedMeasFlagFR2-r17 is not configured, and defined in Table 9.5.4.1-3 for FR2 power class 6 UE when highSpeedMeasFlagFR2-r17 is configured,where

[0217] -M=1 if higher layer parameter timeRestrictionForChannelMeasurement is configured, and M=3 otherwise. / / If the higher layer parameter timeRestrictionForChannelMeasurement is configured, then M=1, otherwise M=3.

[0218] -if UE support[AI-based RX beam prediction capability for L1], N=M.where M is reduced RX beam sweeping number, which is based on UE capability. / / If the UE supports "AI-based RX beam prediction capability for L1", N=M, where M is the reduced RX beam sweeping number based on UE capability.

[0219] -if UE doesn't support [AI-based RX beam prediction capability for L1], N=8 in Table 9.5.4.1-2. / / If the UE doesn't support "AI-based RX beam prediction capability for L1", N=8 in Table 9.5.4.1-2.

[0220] FIG4B is a schematic flowchart showing a method of predicting L3-RSRP measurement according to an embodiment of the present disclosure.

[0221] As shown in Figure 4B, in step S4201, the network device sends first measurement configuration information to the terminal. The first measurement configuration information is used to instruct to perform L3-RSRP measurement on multiple reference signals included in the first reference signal set. In other words, configure L3-RSRP measurement for multiple RSs.

[0222] In step S4202, the terminal performs L3-RSRP measurement on each of the multiple reference signals using the portion of the receive beams that need to be scanned, to obtain a first measurement result. That is, perform L3-RSRP measurement for each TX beam by M1 RX beam(s).

[0223] In step S4203, the terminal predicts a first prediction result based on the first measurement result, that is, predicts the best TX beam and the best M2 RX beam(s).

[0224] In step S4204, the terminal sends a first prediction result to the network device. The first prediction result may include a first beam index (the best TX beam index). That is, reporting the best TX beam index.

[0225] In step S4205, the network device sends second measurement configuration information to the terminal. The second measurement configuration information is used to instruct the terminal to perform L3-RSRP measurement on the first reference signal. The first reference signal is a reference signal (one RS) corresponding to the best transmit beam. In other words, configure L3-RSRP measurement for one RS.

[0226] In step S4206, the terminal performs L3-RSRP measurement on the first reference signal using the best receive beam to obtain a second measurement result, that is, Perform L3-RSRP measurement for one TX beam by M2 RX beam(s).

[0227] In step S4207, the terminal predicts a second prediction result based on the second measurement result, that is, predicts L3-RSRP measurements.

[0228] In step S4208, the terminal sends a second prediction result to the network device. The second prediction result may include an L3-RSRP measurement result, that is, Report L3-RSRP measurements.

[0229] It should be noted that in step S4204, if the first prediction result sent by the terminal to the network device includes the L3-RSRP measurement result, the measurement is completed and steps S4205-S4208 do not need to be executed. This situation corresponds to "the first measurement configuration information is used for L3 measurement and no second measurement configuration information exists." In step S4204, if the first prediction result sent by the terminal to the network device does not include the L3-RSRP measurement result, the measurement is not completed and steps S4205-S4208 need to be executed. This situation corresponds to "the first measurement configuration information is used for L3 measurement and the second measurement configuration information is used for L3 measurement."

[0230] In one possible embodiment, in step S4206, since the terminal only needs to measure the first reference signal, the terminal may also perform L3-RSRP measurement on the first reference signal using all receive beams to be scanned. That is, L3-RSRP measurement is performed for one TX beam by eight RX beams. In this case, the number of beam scans required by the terminal can still be reduced from the perspective of the overall beam measurement process, which helps shorten the beam scanning process and reduce measurement latency.

[0231] In addition, it should be noted that, regardless of whether M1 and M2 are equal, the partial receiving beam used by the terminal in step S4202 may be different from the partial receiving beam used by the terminal in step S4206.

[0232] As a possible embodiment, For L3 measurement, UE needs to perform RX beam sweeping based on rough beam and find the best RX beam then calculate RSRP. Similar as L1-RSRP RX beam sweeping factor reduction, UE can also predict the best RX beam for L3-RSRP measurement. Then UE only needs to measure L3-RSRP based on the best RX beam index. UE also needs to feedback the UE capability about reduced RX beam.

[0233] As a possible embodiment, Table 2 may be described as follows:

[0234] Table 2: Measurement period for intra-frequency measurements without gaps (FR2)

[0235] -if UE doesn't support [AI-based RX beam prediction capability for L3], N=8 in Table 9.5.4.1-2. / / If the UE does not support "AI-based RX beam prediction capability for L3", N=8 in Table 2.

[0236] M meas_period_w / o_gaps :For a UE supporting FR2-1 power class 1 or 5,M meas_period_w / o_gaps =40.For a UE supporting FR2-1 power class 2,M meas_period_w / o_gaps =24.For a UE supporting FR2-1 power class 3,M meas_period_w / o_gaps =24.For a UE supporting power class 4,M meas_period_w / o_gaps=24.For a UE supporting FR2-2 power class 1,M meas_period_w / o_gaps =60.For a UE supporting FR2-2 power class 2,M meas_period_w / o_gaps =36.For a UE supporting FR2-2 power class 3,M meas_period_w / o_gaps =36.

[0237] -if UE support[AI-based RX beam prediction capability for L3], N=M.where M is reduced RX beam sweeping number, which is based on UE capability. / / If the UE supports "AI-based RX beam prediction capability for L3", N=M, where M is the reduced RX beam sweeping number based on UE capability.

[0238] M meas_period_w / o_gaps :For a UE supporting FR2-1 power class 1 or 5,M meas_period_w / o_gaps =[R1](R1<40).For a UE supporting FR2-1 power class 2,M meas_period_w / o_gaps =[R2](R2<24).For a UE supporting FR2-1 power class 3,M meas_period_w / o_gaps =[R3](R3<24).For a UE supporting power class 4,M meas_period_w / o_gaps =[R3](R3<24). / / For UEs supporting FR2-1 power level 1 or 5, M meas_period_w / o_gaps =[R1](R1<40). For UEs supporting FR2-1 power level 2, M meas_period_w / o_gaps =[R2](R2<24). For UEs supporting FR2-1 power class 3, M meas_period_w / o_gaps =[R3](R3<24). For UEs supporting FR2-1 power level 4, M meas_period_w / o_gaps =[R3](R3<24). It should be noted that, in the embodiments of the related art, for UEs supporting FR2-1 power level 1 or 5, M meas_period_w / o_gaps =40; and in some embodiments of the present disclosure, due to the parameter M meas_period_w / o_gapsThe size of is positively correlated with the number of measurements and the number of beam scans. Therefore, the number of receive beam scans decreases, and M meas_period_w / o_gaps will also decrease, M meas_period_w / o_gaps =[R1](R1<40).

[0239] In some embodiments, the first prediction result includes a first beam index and a second beam index. The terminal receives third measurement configuration information sent by a network device. The third measurement configuration information is used to measure a second reference signal. The second reference signal includes a reference signal corresponding to a best transmit beam in a second reference signal set. In a further embodiment, the terminal measures the second reference signal using the best receive beam to obtain a third measurement result.

[0240] In a further embodiment, the terminal predicts a third prediction result based on the third measurement result, where the third prediction result includes a measurement result obtained by using the optimal receive beam for the second reference signal prediction. In a further embodiment, the terminal may send the third prediction result to the network device.

[0241] In some possible implementations, the third prediction result includes an RSRP measurement result of the second reference signal.

[0242] Optionally, the network device may receive the second prediction result sent by the terminal.

[0243] In some embodiments, the first measurement configuration information is used for L1 measurement, and the third measurement configuration information is used for L3 measurement; or, the first measurement configuration information is used for L3 measurement, and the third measurement configuration information is used for L1 measurement.

[0244] In order to help those skilled in the art better understand the embodiments of the present disclosure, the following will first illustrate the cases of "the first measurement configuration information is used for L3 measurement, and the third measurement configuration information is used for L1 measurement" and "the first measurement configuration information is used for L3 measurement, and the third measurement configuration information does not exist" with reference to Figure 4C, and then illustrate the cases of "the first measurement configuration information is used for L1 measurement, and the third measurement configuration information is used for L3 measurement" and "the first measurement configuration information is used for L1 measurement, and the third measurement configuration information does not exist" with reference to Figure 4D.

[0245] FIG4C is a schematic flowchart showing a method of predicting L1-RSRP measurement based on L3-RSRP measurement according to an embodiment of the present disclosure.

[0246] As shown in Figure 4C, in step S4301, the network device sends first measurement configuration information to the terminal. The first measurement configuration information is used to instruct to perform L3-RSRP measurement on multiple reference signals included in the first reference signal set. In other words, configure L3-RSRP measurement for multiple RSs.

[0247] In step S4302, the terminal performs L3-RSRP measurement on each of the multiple reference signals using the portion of the receive beams that need to be scanned, to obtain a first measurement result. That is, perform L3-RSRP measurement for each TX beam by M1 RX beam(s).

[0248] In step S4303, the terminal predicts a first prediction result based on the first measurement result, that is, predicts the best TX beam and the best M2 RX beam(s).

[0249] In step S4304, the terminal sends a first prediction result to the network device. The first prediction result may include a first beam index (the best TX beam index). In other words, the terminal reports the best TX beam index.

[0250] In step S4305, the network device sends third measurement configuration information to the terminal. The third measurement configuration information is used to instruct the terminal to perform L1-RSRP measurement on the second reference signal. The second reference signal is a reference signal (one RS) corresponding to the best transmit beam among multiple reference signals included in the second reference signal set. In other words, configure L1-RSRP measurement for one RS.

[0251] In step S4306, the terminal performs L1-RSRP measurement on the second reference signal using the best receive beam to obtain a third measurement result. That is, perform L1-RSRP measurement for one TX beam by M2 RX beam(s).

[0252] In step S4307, the terminal predicts a third prediction result based on the third measurement result, that is, predicts L1-RSRP measurements.

[0253] In step S4308, the terminal sends a third prediction result to the network device, where the third prediction result may include an L1-RSRP measurement result, that is, Report L1-RSRP measurements.

[0254] It should be noted that since the first reference signal set used for L3-RSRP measurement and the second reference signal set used for L1-RSRP measurement are configured separately, and the reference signals correspond one-to-one to the transmit beams of the network device, the transmit beams corresponding to the two reference signal sets may or may not intersect. In step S4303, the first beam index identifies the best transmit beam corresponding to the reference signal in the first reference signal set. If there is a reference signal in the second reference signal set corresponding to the best transmit beam identified by the first beam index, steps S4305-S4308 can be continued to perform L1-RSRP measurement on the second reference signal in the second reference signal set. This situation corresponds to "the first measurement configuration information is used for L3 measurement, and the third measurement configuration information is used for L1 measurement." In step S4303, if there is no reference signal corresponding to the best transmit beam identified by the first beam index in the second reference signal set, the L1-RSRP measurement cannot be predicted based on the L3-RSRP measurement, and there is no need to execute steps S4305-S4308. This situation corresponds to "the first measurement configuration information is used for L3 measurement, and there is no third measurement configuration information."

[0255] In one possible embodiment, in step S4306, the terminal may also use all receive beams that need to be scanned to perform L1-RSRP measurement on multiple reference signals included in the second reference signal set. That is, Perform L1-RSRP measurement for one TX beam by 8 RX beam(s). Accordingly, when the prediction of L1-RSRP measurement based on L3-RSRP measurement is supported, from the perspective of the overall beam measurement process, the number of beam scans that the terminal needs to perform can still be reduced, which is beneficial to shortening the time consumption of the beam scanning process and reducing measurement delay. When the prediction of L1-RSRP measurement based on L3-RSRP measurement is not supported, the reliability of beam measurement can be guaranteed.

[0256] FIG4D is a schematic flowchart illustrating a method of predicting L3-RSRP measurement based on L1-RSRP measurement according to an embodiment of the present disclosure.

[0257] As shown in FIG4D , in step S4401, the network device sends first measurement configuration information to the terminal. The first measurement configuration information is used to instruct to perform L1-RSRP measurement on multiple reference signals included in the first reference signal set. That is, configure L1-RSRP measurement for multiple RSs.

[0258] In step S4402, the terminal performs L1-RSRP measurement on each of the multiple reference signals using the portion of the receive beams that need to be scanned, to obtain a first measurement result. That is, perform L1-RSRP measurement for each TX beam by M1 RX beam(s).

[0259] In step S4303, the terminal predicts a first prediction result based on the first measurement result, that is, predicts the best TX beam and the best M2 RX beam(s).

[0260] In step S4404, the terminal sends a first prediction result to the network device. The first prediction result may include a first beam index (the best TX beam index). In other words, the terminal reports the best TX beam index.

[0261] In step S4405, the network device sends third measurement configuration information to the terminal. The third measurement configuration information is used to instruct the terminal to perform L3-RSRP measurement on a second reference signal. The second reference signal is a reference signal (one RS) corresponding to the best transmit beam among multiple reference signals included in the second reference signal set. In other words, L3-RSRP measurement for one RS is configured.

[0262] In step S4406, the terminal performs L3-RSRP measurement on the second reference signal using the optimal receive beam. That is, perform L3-RSRP measurement for one TX beam by M2 RX beam(s).

[0263] In step S4407, the terminal predicts a third prediction result based on the third measurement result, that is, predicts L3-RSRP measurements.

[0264] In step S4408, the terminal sends a third prediction result to the network device. The third prediction result may include an L3-RSRP measurement result, that is, Report L3-RSRP measurements.

[0265] It should be noted that since the first reference signal set used for L1-RSRP measurement and the second reference signal set used for L3-RSRP measurement are configured separately, and the reference signals correspond one-to-one to the transmit beams of the network device, the transmit beams corresponding to the two reference signal sets may or may not intersect. In step S4403, the first beam index identifies the best transmit beam in the first reference signal set. If there is a reference signal in the second reference signal set corresponding to the best transmit beam identified by the first beam index, steps S4405-S4408 can be continued to perform L3-RSRP measurement on the second reference signal in the second reference signal set. This situation corresponds to "the first measurement configuration information is used for L1 measurement, and the third measurement configuration information is used for L3 measurement." In step S4403, if there is no reference signal corresponding to the best transmit beam identified by the first beam index in the second reference signal set, the L3-RSRP measurement cannot be predicted based on the L1-RSRP measurement, and there is no need to execute steps S4405-S4408. This situation corresponds to "the first measurement configuration information is used for L1 measurement, and there is no third measurement configuration information."

[0266] In one possible embodiment, in step S4406, the terminal may also use all receive beams that need to be scanned to perform L3-RSRP measurement on multiple reference signals included in the second reference signal set. That is, Perform L3-RSRP measurement for one TX beam by 8 RX beam(s). Accordingly, when L3-RSRP measurement prediction based on L1-RSRP measurement is supported, the number of beam scans required by the terminal can be reduced, which is beneficial for shortening the beam scanning process and reducing measurement delay. When L3-RSRP measurement prediction based on L1-RSRP measurement is not supported, the reliability of beam measurement can be guaranteed.

[0267] As a possible embodiment, In current, UE needs to perform L3 measurement for mobility and L1 measurement for beam management. For L3 measurement, UE needs to perform 8 RX beam sweeping based on rough beam. For L1 measurement, UE needs to perform 8 RX beam sweeping based on fine beam. RX fine beam based on measurement on rough beams.Or UE predicts best rough beam based on measurement on fine beam.In this way,UE can predict best beam for L1 measurement based on measurement on L3 measurement.Or UE predicts best beam for L3 measurement based on measurement on L1 measurement.

[0268] In some embodiments, the terminal determines the portion of receiving beams that the terminal needs to scan based on prior information of the spatial domain.

[0269] For example, the terminal performs spatial uniform sampling within a range of 90 degrees based on prior information of the spatial domain, and determines three receiving beams from eight receiving beams of the terminal.

[0270] For example, the terminal determines three receiving beams from eight receiving beams of the terminal according to spatial distribution characteristics of the receiving beams, such as Gaussian distribution and Labracadabra distribution.

[0271] In some embodiments, the terminal performs measurement on each reference signal included in the first reference signal set using all the receiving beams that the terminal needs to scan at the first moment to obtain a fourth measurement result; further, the terminal predicts a fourth measurement result based on the fourth measurement result, and the fourth measurement result includes part of the receiving beams that the terminal needs to scan at the second moment, and the first moment is prior to the second moment.

[0272] In a possible implementation, the terminal may determine the first number of receiving beams through long time domain prediction.

[0273] For example, FIG5A is a schematic flowchart of a long-term prediction according to an embodiment of the present disclosure. As shown in FIG5A , the first moment is T0, the second moment is T2, and the time gap between T1 and T2 is long (long time gap between T1 and T2); at the first moment T0, the network device configures reference signals corresponding to four transmit beams for the terminal. For each of the four reference signals, the terminal can use eight receive beams for measurement, and predict the M1 best receive beams at the second moment T2 based on the measurement results of the eight receive beams; further, at the second moment T2, the network device configures reference signals corresponding to four transmit beams for the terminal. For each of the four reference signals, the terminal can use the previously predicted M1 receive beams for measurement, and predict the measurement results of the eight receive beams based on the measurement results of the M1 receive beams.

[0274] In another possible implementation, the terminal may determine the first number of receiving beams through short time domain prediction.

[0275] For example, FIG5B is a schematic flowchart of a short-time prediction according to an embodiment of the present disclosure. As shown in FIG5B , the first moment is T0, the second moment is T2, and the time gap between T1 and T2 is short (a short time gap between T1 and T2); at the first moment T0, the network device configures a terminal with reference signals corresponding to four transmit beams. The terminal can use eight receive beams to measure each of the four reference signals and predict the optimal transmit beam and M1 optimal receive beams at the first moment T0 based on the measurement results of the eight receive beams. The terminal can also send the optimal transmit beam index to the network device at moment T1. Furthermore, at the second moment T2, the network device configures the terminal with a reference signal corresponding to the optimal transmit beam index. The terminal can use the previously predicted M1 receive beams to measure this reference signal and predict the measurement results of the eight receive beams based on the measurement results of the M1 receive beams.

[0276] It should be noted that in the process of long-term prediction and short-term prediction, the terminal can also use partial receiving beams to measure each reference signal at the first moment T0, and predict the M1 best receiving beams at the second moment T2 based on the measurement results of the partial receiving beams. Details will not be given here.

[0277] In the above embodiment, for long-term prediction, since the interval between the first and second moments is long, the channel state between the terminal and the network device may change. Therefore, the optimal receiving beam for the terminal at the second moment can be predicted at the first moment. For short-term prediction, since the interval between the first and second moments is short, the channel state between the terminal and the network device may not change much. Therefore, the optimal receiving beam for the terminal at the first moment can be predicted at the first moment, and these optimal receiving beams can be used for measurement at the second moment.

[0278] In some embodiments, the probability that the optimal receiving beam is included in the portion of receiving beams that the terminal needs to scan exceeds a threshold. It should be noted that the threshold involved in the present disclosure can also be described as accuracy. In this case, the above embodiment can also be described as follows: the terminal supports predicting the optimal receiving beam with accuracy, so that the probability that the ideal optimal receiving beam is included in the portion of receiving beams used exceeds a threshold. Consequently, the terminal only needs to use the portion of receiving beams to measure the reference signal to ensure the reliability of the measurement result.

[0279] For example, the accuracy of the beam prediction capability supported by the terminal will vary depending on factors such as AI model capabilities, terminal performance, and spatial prediction algorithms. If the accuracy of the beam prediction capability supported by the terminal can reach 90%, the terminal only needs to use one receiving beam to measure the reference signal to predict the optimal receiving beam with 90% accuracy. If the accuracy of the beam prediction capability supported by the terminal is only 50%, the terminal may need to use three receiving beams to measure the reference signal to ensure that the probability of containing the optimal receiving beam among these three receiving beams is greater than 90%.

[0280] As a possible embodiment, If UE can predict the best RX beam with high accuracy, for example, UE can predict the best RX beam with 90% accuracy, then UE only need to perform measurement for the best beam. The reduced RX beam sweeping number is 1. For some UE, the best RX beam prediction accuracy is not good due to UE capability. may need to predict N(1 <N<8)RX beams to guarantee that ideal best RX beam is inside the N beams with 90%accuracy.In this case,the reduced RX beam sweeping factor will be N.Therefore,UE will report different capability about RX beam sweeping number.The capability is defined as the RX beam sweeping factor,which can be[1~7]。

[0281] As a possible embodiment, the reduced RX beam sweeping number should satisfy that the ideal best beam is within the reduced RX beam number for 90% accuracy.

[0282] In some embodiments, the terminal sends terminal capability information to the network device, where the terminal capability information is used to indicate that the terminal supports beam prediction capability.

[0283] In one possible implementation, the terminal capability information includes a receive beam scanning factor, where the receive beam scanning factor indicates the number of receive beams that the terminal needs to scan. For example, the receive beam scanning factor may be a first number, and if the terminal has eight receive beams, a first number of three indicates that the terminal only needs to use three receive beams to measure the reference signal.

[0284] In some embodiments, the beam prediction capability includes at least one of the following: AI-based beam prediction capability; beam prediction capability based on a spatial prediction algorithm; beam prediction capability for L1 measurement; and beam prediction capability for L3 measurement.

[0285] Optionally, the network device may receive terminal capability information sent by the terminal. The network device may also determine, based on the terminal capability information, whether the terminal supports beam prediction capability.

[0286] As a possible embodiment, define UE capabilities for RX beam sweeping number for L3 measurement and / or L1 measurement respectively based RX beam spatial domain prediction.

[0287] In a second aspect, embodiments of the present disclosure provide a beam measurement method. Figure 6 is a schematic flow chart illustrating another beam measurement method according to an embodiment of the present disclosure. The beam measurement method illustrated in this embodiment can be executed by a network device.

[0288] As shown in FIG6 , the beam measurement method may include the following steps:

[0289] In step S601, first measurement configuration information is sent to a terminal, where the first measurement configuration information is used to instruct the terminal to perform measurement on each reference signal included in a first reference signal set using a portion of receive beams that the terminal needs to scan.

[0290] For example, the network device sends first measurement configuration information to the terminal. The first measurement configuration information is used to instruct the terminal to use M (M is a positive integer, 1≤M<N) receive beams to measure each of X (X is a positive integer, X≥1) reference signals included in the first reference signal set. In this case, the terminal adjusts the value of the receive beam scanning factor from N to M, and the terminal needs to perform a total of X*M measurements.

[0291] It should be noted that the embodiment shown in FIG. 6 can be implemented independently or in combination with at least one other embodiment in the present disclosure. The specific selection can be made as needed and the present disclosure does not limit it.

[0292] According to an embodiment of the present disclosure, in response to first measurement configuration information sent by a network device, a terminal can use a portion of a receive beam to measure a reference signal configured by the network device, and predict the measurement results of all receive beams based on the measurement results of the portion of the receive beam, without having to use all receive beams to measure the reference signal configured by the network device. Accordingly, by reducing the receive beam scanning factor, the number of beam scans required by the terminal can be reduced, which helps shorten the beam scanning process, reduces measurement latency, and also helps save the power consumption required by the terminal to perform beam measurement.

[0293] Optionally, the terminal receives first measurement configuration information sent by the network device. In a further embodiment, the terminal performs measurement for each of the multiple reference signals included in the first reference signal set using a portion of the receive beams that need to be scanned, to obtain a first measurement result. In a further embodiment, the terminal may also predict a first prediction result based on the first measurement result. The first prediction result includes a measurement result obtained by predicting, for each reference signal included in the first reference signal set, measurement using all receive beams that the terminal needs to scan. In a further embodiment, the terminal may send the first prediction result to the network device.

[0294] In some embodiments, the network device may receive the first prediction result sent by the terminal.

[0295] In some possible implementations, the first reference signal set includes multiple reference signals, wherein the multiple reference signals correspond to different transmit beams of the network device, and the first prediction result includes at least one of the following: a first beam index, the first beam index is used to identify the best transmit beam predicted from the multiple transmit beams corresponding to the multiple reference signals; a second beam index, the second beam index is used to identify the best receive beam predicted from all receive beams that the terminal needs to scan, and the best receive beam is used to measure the reference signal corresponding to the best transmit beam; and an RSRP measurement result of each reference signal included in the first reference signal set.

[0296] In some embodiments, the first measurement configuration information is used for L1 measurement; or, the first measurement configuration information is used for L3 measurement.

[0297] In a further embodiment, the first prediction result includes a first beam index and a second beam index, and the network device sends second measurement configuration information to the terminal, and the second measurement configuration information is used to instruct the terminal to use the best receiving beam for measurement for the first reference signal, and the first reference signal includes a reference signal corresponding to the best transmitting beam in the first reference signal set.

[0298] Optionally, the terminal receives second measurement configuration information from the network device. In a further embodiment, the terminal measures the first reference signal using the optimal receive beam to obtain a second measurement result. In a further embodiment, the terminal predicts a second prediction result based on the second measurement result, where the second prediction result includes measurement results obtained by using all receive beams that the terminal needs to scan for the first reference signal. In a further embodiment, the terminal sends the second prediction result to the network device.

[0299] In some embodiments, the network device receives a second prediction result sent by the terminal, wherein the second prediction result includes a measurement result obtained by performing measurement using all receiving beams that the terminal needs to scan for the first reference signal prediction.

[0300] In some embodiments, the second prediction result includes an RSRP measurement result of the first reference signal.

[0301] In some embodiments, the first measurement configuration information is used for L1 measurement, and the second measurement configuration information is used for L1 measurement; or, the first measurement configuration information is used for L3 measurement, and the second measurement configuration information is used for L3 measurement.

[0302] In a further embodiment, the first prediction result includes a first beam index and a second beam index, and the network device sends third measurement configuration information to the terminal, and the third measurement configuration information is used to instruct the terminal to use the best receiving beam for measurement for the second reference signal, and the second reference signal includes a reference signal corresponding to the best transmitting beam in the second reference signal set.

[0303] Optionally, the terminal receives third measurement configuration information from the network device. In a further embodiment, the terminal uses the optimal receive beam to measure the second reference signal to obtain a third measurement result. In a further embodiment, the terminal predicts a third prediction result based on the third measurement result, where the third prediction result includes measurement results obtained by using all receive beams that the terminal needs to scan for the second reference signal. In a further embodiment, the terminal sends the third prediction result to the network device.

[0304] In some embodiments, the network device receives a third prediction result sent by the terminal, wherein the third prediction result includes a measurement result obtained by performing measurements using all receiving beams that the terminal needs to scan for the second reference signal prediction.

[0305] In some embodiments, the third prediction result includes an RSRP measurement result of the second reference signal.

[0306] In some embodiments, the first measurement configuration information is used for L1 measurement, and the second measurement configuration information is used for L3 measurement; or, the first measurement configuration information is used for L3 measurement, and the second measurement configuration information is used for L1 measurement.

[0307] In some embodiments, the probability that the best receiving beam is included in the portion of receiving beams that the terminal needs to scan exceeds a threshold.

[0308] In some embodiments, a network device receives terminal capability information sent by a terminal, where the terminal capability information is used to indicate that the terminal supports beam prediction capability. In one possible implementation, the terminal capability information includes a reduced receive beam scanning factor, where the reduced receive beam scanning factor is used to indicate the number of partial receive beams that the terminal needs to scan.

[0309] In some possible implementations, the beam prediction capability includes at least one of the following: AI-based beam prediction capability; beam prediction capability based on a spatial prediction algorithm; beam prediction capability for L1 measurement; and beam prediction capability for L3 measurement.

[0310] In some embodiments, the names of information, etc. are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codeword", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0311] In some embodiments, terms such as "moment", "time point", "time", and "time position" can be replaced with each other, and terms such as "duration", "period", "time window", "window", and "time" can be replaced with each other.

[0312] In some embodiments, the terms "component carrier (CC)", "cell", "frequency carrier", "carrier frequency" and the like can be used interchangeably.

[0313] In some embodiments, "obtain", "get", "get", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining by self-processing, autonomous implementation, etc.

[0314] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0315] Corresponding to the aforementioned embodiment of the beam measurement method, the present disclosure also provides an embodiment of a beam measurement device.

[0316] FIG7 is a schematic block diagram of a beam measurement device according to an embodiment of the present disclosure. As shown in FIG7 , the beam measurement device 700 includes a first transceiver module 701 , a measurement module 702 , and a prediction module 703 .

[0317] In some embodiments, the first transceiver module is used to receive first measurement configuration information sent by a network device, where the first measurement configuration information is used to perform measurements on a first reference signal set; the measurement module is used to perform measurements on each reference signal included in the first reference signal set using a portion of the receiving beams that the terminal needs to scan to obtain a first measurement result; and the prediction module is used to predict a first prediction result based on the first measurement result, where the first prediction result includes a measurement result obtained by predicting the use of all the receiving beams that the terminal needs to scan for each reference signal included in the first reference signal set.

[0318] In some embodiments, the first transceiver module is further configured to send the first prediction result to the network device.

[0319] In some embodiments, the first reference signal set includes multiple reference signals, wherein the multiple reference signals correspond to different transmit beams of the network device; the first prediction result includes at least one of the following: a first beam index, the first beam index is used to identify the best transmit beam predicted from the multiple transmit beams corresponding to the multiple reference signals; a second beam index, the second beam index is used to identify the best receive beam predicted from all receive beams that the terminal needs to scan, the best receive beam is used to measure the reference signal corresponding to the best transmit beam; a reference signal received power RSRP measurement result of each reference signal included in the first reference signal set.

[0320] In some embodiments, the first measurement configuration information is used for layer 1 L1 measurement; or, the first measurement configuration information is used for layer 3 L3 measurement.

[0321] In some embodiments, the first prediction result includes the first beam index and the second beam index, and the first transceiver module is further used to receive second measurement configuration information sent by the network device, and the second measurement configuration information is used to measure a first reference signal, and the first reference signal includes a reference signal corresponding to the optimal transmit beam in the first reference signal set; the measurement module is further used to use the optimal receive beam to measure the first reference signal to obtain a second measurement result; the prediction module is further used to predict a second prediction result based on the second measurement result, and the second prediction result includes a measurement result obtained by measuring the first reference signal using all receive beams that the terminal needs to scan.

[0322] In some embodiments, the first transceiver module is further configured to send the second prediction result to the network device.

[0323] In some embodiments, the second prediction result includes an RSRP measurement result of the first reference signal.

[0324] In some embodiments, the first measurement configuration information is used for L1 measurement, and the second measurement configuration information is used for L1 measurement; or, the first measurement configuration information is used for L3 measurement, and the second measurement configuration information is used for L3 measurement.

[0325] In some embodiments, the first prediction result includes the first beam index and the second beam index, and the first transceiver module is further used to receive third measurement configuration information sent by the network device, where the third measurement configuration information is used to measure a second reference signal, and the second reference signal includes a reference signal corresponding to the optimal transmit beam in the second reference signal set; the measurement module is further used to measure the second reference signal using the optimal receive beam to obtain a third measurement result; the prediction module is further used to predict a third prediction result based on the third measurement result, where the third prediction result includes a measurement result obtained by predicting the second reference signal using the optimal receive beam for measurement.

[0326] In some embodiments, the first transceiver module is further configured to send the third prediction result to the network device.

[0327] In some embodiments, the third prediction result includes an RSRP measurement result of the second reference signal.

[0328] In some embodiments, the first measurement configuration information is used for L1 measurement, and the third measurement configuration information is used for L3 measurement; or, the first measurement configuration information is used for L3 measurement, and the third measurement configuration information is used for L1 measurement.

[0329] In some embodiments, the processing module is used to determine the portion of the receiving beam that the terminal needs to scan based on prior information of the spatial domain.

[0330] In some embodiments, the measurement module is further used to measure each reference signal included in the first reference signal set using all the receiving beams that the terminal needs to scan at a first moment to obtain a fourth measurement result; the prediction module is further used to predict a fourth measurement result based on the fourth measurement result, and the fourth measurement result includes part of the receiving beams that the terminal needs to scan at a second moment, and the first moment is prior to the second moment.

[0331] In some embodiments, the probability that the best receiving beam is included in the portion of receiving beams that the terminal needs to scan exceeds a threshold.

[0332] In some embodiments, the first transceiver module is further used to send terminal capability information to the network device, where the terminal capability information is used to indicate that the terminal supports beam prediction capability.

[0333] In some embodiments, the beam prediction capability includes at least one of the following: beam prediction capability based on artificial intelligence AI; beam prediction capability based on a spatial domain prediction algorithm; beam prediction capability for L1 measurement; and beam prediction capability for L3 measurement.

[0334] FIG8 is a schematic block diagram of another beam measurement device according to an embodiment of the present disclosure. As shown in FIG8 , the beam measurement device 800 includes a second transceiver module 801 .

[0335] In some embodiments, the second transceiver module is used to send first measurement configuration information to the terminal, where the first measurement configuration information is used to instruct the terminal to perform measurement for each reference signal included in the first reference signal set using a portion of the receiving beam that the terminal needs to scan.

[0336] In some embodiments, the second transceiver module is further used to receive a first prediction result sent by the terminal, wherein the first prediction result includes a measurement result obtained by measuring each reference signal included in the first reference signal set using all receiving beams that the terminal needs to scan.

[0337] In some embodiments, the first reference signal set includes multiple reference signals, wherein the multiple reference signals correspond to different transmit beams of the network device; the first prediction result includes at least one of the following: a first beam index, the first beam index is used to identify the best transmit beam predicted from the multiple transmit beams corresponding to the multiple reference signals; a second beam index, the second beam index is used to identify the best receive beam predicted from all receive beams that the terminal needs to scan, the best receive beam is used to measure the reference signal corresponding to the best transmit beam; RSRP measurement result of each reference signal included in the first reference signal set.

[0338] In some embodiments, the first measurement configuration information is used for L1 measurement; or, the first measurement configuration information is used for L3 measurement.

[0339] In some embodiments, the first prediction result includes the first beam index and the second beam index, and the second transceiver module is further used to send second measurement configuration information to the terminal, and the second measurement configuration information is used to instruct the terminal to use the optimal receiving beam for measurement for the first reference signal, and the first reference signal is included in the reference signal corresponding to the optimal transmitting beam in the first reference signal set.

[0340] In some embodiments, the second transceiver module is further used to receive a second prediction result sent by the terminal, wherein the second prediction result includes a measurement result obtained by measuring the first reference signal using all receiving beams that the terminal needs to scan.

[0341] In some embodiments, the second prediction result includes an RSRP measurement result of the first reference signal.

[0342] In some embodiments, the first measurement configuration information is used for L1 measurement, and the second measurement configuration information is used for L1 measurement; or, the first measurement configuration information is used for L3 measurement, and the second measurement configuration information is used for L3 measurement.

[0343] In some embodiments, the first prediction result includes the first beam index and the second beam index, and the second transceiver module is further used to send third measurement configuration information to the terminal, and the third measurement configuration information is used to instruct the terminal to use the optimal receiving beam for measurement for the second reference signal, and the second reference signal includes a reference signal corresponding to the optimal transmitting beam in the second reference signal set.

[0344] In some embodiments, the second transceiver module is further used to receive the third prediction result sent by the terminal, wherein the third prediction result includes a measurement result obtained by measuring all the receiving beams that the terminal needs to scan for the second reference signal prediction.

[0345] In some embodiments, the third prediction result includes an RSRP measurement result of the second reference signal.

[0346] In some embodiments, the first measurement configuration information is used for L1 measurement, and the second measurement configuration information is used for L3 measurement; or, the first measurement configuration information is used for L3 measurement, and the second measurement configuration information is used for L1 measurement.

[0347] In some embodiments, the probability that the best receiving beam is included in the portion of receiving beams that the terminal needs to scan exceeds a threshold.

[0348] In some embodiments, the second transceiver module is further used to receive terminal capability information sent by the terminal, where the terminal capability information is used to indicate that the terminal supports beam prediction capability.

[0349] In some embodiments, the beam prediction capability includes at least one of the following: beam prediction capability based on AI; beam prediction capability based on spatial prediction algorithm; beam prediction capability for L1 measurement; beam prediction capability for L3 measurement.

[0350] It should be noted that the modules included in the beam measurement device 700 and / or the beam measurement device 800 are not limited to the modules described in the above embodiments, and may also include other modules, such as a storage module, a display module, etc.

[0351] For the device embodiment, since it basically corresponds to the method embodiment, the relevant parts can be referred to the partial description of the method embodiment. The device embodiment described above is merely illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art can understand and implement it without paying any creative work.

[0352] An embodiment of the present disclosure further proposes a terminal, comprising: one or more processors; wherein the processor is used to call instructions to enable the terminal to execute the information sending and receiving method described in the first aspect and the optional embodiment of the first aspect.

[0353] An embodiment of the present disclosure further proposes a network device, comprising: one or more processors; wherein the processor is used to call instructions to enable the network device to execute the information sending and receiving method described in the second aspect and the optional embodiment of the second aspect.

[0354] An embodiment of the present disclosure also proposes a communication device, comprising: one or more processors; wherein the processor is used to call instructions to enable the communication device to execute the beam measurement method described in the first aspect and the optional embodiment of the first aspect, and / or the beam measurement method described in the second aspect and the optional embodiment of the second aspect.

[0355] An embodiment of the present disclosure also proposes a communication system, including a terminal and a network device, wherein the terminal is configured to implement the beam measurement method described in the first aspect and the optional embodiment of the first aspect, and the network device is configured to implement the beam measurement method described in the second aspect and the optional embodiment of the second aspect.

[0356] An embodiment of the present disclosure also proposes a storage medium storing instructions. When the instructions are executed on a communication device, the communication device executes the beam measurement method described in the first aspect and the optional embodiment of the first aspect, and / or the beam measurement method described in the second aspect and the optional embodiment of the second aspect.

[0357] The embodiments of the present disclosure further provide an apparatus for implementing any of the above methods. For example, an apparatus is provided, comprising units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is provided, comprising units or modules for implementing each step performed by a network device (e.g., an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0358] It should be understood that the division of the various units or modules in the above device is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), which realizes the functions of some or all of the above units or modules by designing the logical relationship of the components in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be realized by a programmable logic device (PLD). Taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by configuring the configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices can be realized in the form of software called by the processor, or in the form of hardware circuits, or in part by the form of software called by the processor, and the rest by hardware circuits.

[0359] In the embodiments of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution capabilities, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationship of the hardware circuit. The logical relationship of the above-mentioned hardware circuit is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and implementing the hardware circuit configuration can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), etc.

[0360] Figure 9 is a schematic diagram of the structure of a communication device 9100 proposed in an embodiment of the present disclosure. Communication device 9100 can be a network device (e.g., an access network device, a core network device, etc.), a terminal (e.g., a user device, etc.), a chip, a chip system, or a processor that supports a network device to implement any of the above methods, or a chip, a chip system, or a processor that supports a terminal to implement any of the above methods. Communication device 9100 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.

[0361] As shown in Figure 7, the communication device 9100 includes one or more processors 9101. The processor 9101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process program data. The processor 9101 is used to call instructions to enable the communication device 9100 to perform any of the above methods.

[0362] In some embodiments, the communication device 9100 further includes one or more memories 9102 for storing instructions. Optionally, all or part of the memories 9102 may be located outside the communication device 9100.

[0363] In some embodiments, the communication device 9100 further includes one or more transceivers 9103. When the communication device 9100 includes one or more transceivers 9103, the communication steps such as sending and receiving in the above method are performed by the transceiver 9103, and the other steps are performed by the processor 9101.

[0364] In some embodiments, a transceiver may include a receiver and a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, and transceiver circuit may be used interchangeably; the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be used interchangeably; and the terms receiver, receiving unit, receiver, and receiving circuit may be used interchangeably.

[0365] Optionally, the communication device 9100 further includes one or more interface circuits 9104, which are connected to the memory 9102. The interface circuits 9104 can be used to receive signals from the memory 9102 or other devices, and can be used to send signals to the memory 9102 or other devices. For example, the interface circuits 9104 can read instructions stored in the memory 9102 and send the instructions to the processor 9101.

[0366] The communication device 9100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 9100 described in the present disclosure is not limited thereto, and the structure of the communication device 9100 may not be limited by FIG. 7 . The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0367] FIG10 is a schematic diagram of the structure of a chip 10200 according to an embodiment of the present disclosure. If the communication device 9100 can be a chip or a chip system, reference can be made to the schematic diagram of the structure of the chip 10200 shown in FIG8 , but the present disclosure is not limited thereto.

[0368] Chip 10200 includes one or more processors 10201, and processor 10201 is used to call instructions to enable chip 10200 to execute any of the above methods.

[0369] In some embodiments, the chip 10200 further includes one or more interface circuits 10202, which are connected to the memory 10203. The interface circuit 10202 can be used to receive signals from the memory 10203 or other devices, and can be used to send signals to the memory.

[0370] 10203 or other devices to send signals. For example, the interface circuit 10202 can read the instructions stored in the memory 10203 and send the instructions to the processor 10201. Optionally, the terms interface circuit, interface, transceiver pin, transceiver, etc. can be used interchangeably.

[0371] In some embodiments, the chip 10200 further includes one or more memories 10203 for storing instructions. Alternatively, all or part of the memories 10203 may be outside the chip 10200.

[0372] The present disclosure also proposes a storage medium having instructions stored thereon, which, when executed on the communication device 9100, causes the communication device 9100 to execute any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited thereto and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto and may also be a temporary storage medium.

[0373] The present disclosure also provides a program product, which, when executed by the communication device 9100, enables the communication device 9100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0374] The present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to perform any one of the above methods.

Claims

1. A beam measurement method, characterized in that: Executed by a terminal, the method includes: receiving first measurement configuration information sent by a network device, where the first measurement configuration information is used to perform measurement on a first reference signal set; For each reference signal included in the first reference signal set, measuring using part of the receive beam that the terminal needs to scan to obtain a first measurement result; A first prediction result is predicted based on the first measurement result, where the first prediction result includes a measurement result obtained by measuring, for each reference signal included in the first reference signal set, using all receive beams that the terminal needs to scan.

2. The method according to claim 1, characterized in that The method further comprises: Send the first prediction result to the network device.

3. The method according to any one of claims 1 to 2, characterized in that The first reference signal set includes a plurality of reference signals, wherein the plurality of reference signals correspond to different transmit beams of the network device; The first prediction result includes at least one of the following: a first beam index, where the first beam index is used to identify an optimal transmit beam predicted from a plurality of transmit beams corresponding to the plurality of reference signals; a second beam index, where the second beam index is used to identify a best receive beam predicted from all receive beams that the terminal needs to scan, the best receive beam being used to measure a reference signal corresponding to the best transmit beam; A reference signal received power (RSRP) measurement result of each reference signal included in the first reference signal set.

4. The method according to any one of claims 1 to 3, characterized in that The first measurement configuration information is used for layer 1 L1 measurement; or, the first measurement configuration information is used for layer 3 L3 measurement.

5. The method according to claim 4, characterized in that The first prediction result includes the first beam index and the second beam index, and the method further includes: receiving second measurement configuration information sent by the network device, where the second measurement configuration information is used to measure a first reference signal, where the first reference signal includes a reference signal corresponding to the best transmit beam in the first reference signal set; Using the optimal receiving beam to measure the first reference signal to obtain a second measurement result; A second prediction result is predicted based on the second measurement result, where the second prediction result includes a measurement result obtained by performing measurement using all receiving beams that the terminal needs to scan for predicting the first reference signal.

6. The method according to claim 5, characterized in that The method further comprises: Send the second prediction result to the network device.

7. The method according to claim 6, characterized in that The second prediction result includes an RSRP measurement result of the first reference signal.

8. The method according to any one of claims 5 to 7, characterized in that The first measurement configuration information is used for L1 measurement, and the second measurement configuration information is used for L1 measurement; or, The first measurement configuration information is used for L3 measurement, and the second measurement configuration information is used for L3 measurement.

9. The method according to claim 4, characterized in that The first prediction result includes the first beam index and the second beam index, and the method further includes: receiving third measurement configuration information sent by the network device, where the third measurement configuration information is used to measure a second reference signal, where the second reference signal includes a reference signal corresponding to the best transmit beam in a second reference signal set; Measuring the second reference signal using the optimal receiving beam to obtain a third measurement result; A third prediction result is predicted based on the third measurement result, where the third prediction result includes a measurement result obtained by using the optimal receiving beam to perform measurement for predicting the second reference signal.

10. The method according to claim 9, characterized in that The method further comprises: Send the third prediction result to the network device.

11. The method according to claim 10, characterized in that The third prediction result includes an RSRP measurement result of the second reference signal.

12. The method according to any one of claims 9 to 11, characterized in that The first measurement configuration information is used for L1 measurement, and the third measurement configuration information is used for L3 measurement; or, The first measurement configuration information is used for L3 measurement, and the third measurement configuration information is used for L1 measurement.

13. The method according to any one of claims 1 to 12, characterized in that The method further comprises: According to the prior information of the spatial domain, part of the receiving beams that the terminal needs to scan is determined.

14. The method according to any one of claims 1 to 12, characterized in that The method further comprises: performing, at a first moment, measurement on each reference signal included in the first reference signal set using all receive beams that the terminal needs to scan, to obtain a fourth measurement result; A fourth measurement result is predicted based on the fourth measurement result, where the fourth measurement result includes a portion of receive beams that the terminal needs to scan at a second moment, and the first moment is prior to the second moment.

15. The method according to any one of claims 1 to 14, characterized in that The probability that the best receiving beam is included in the portion of receiving beams that the terminal needs to scan exceeds a threshold.

16. The method according to any one of claims 1 to 15, characterized in that The method further comprises: Terminal capability information is sent to the network device, where the terminal capability information is used to indicate that the terminal supports beam prediction capability.

17. The method according to claim 16, characterized in that The beam prediction capability includes at least one of the following: Beam prediction capabilities based on artificial intelligence (AI); Beam prediction capability based on spatial prediction algorithm; Beam prediction capability for L1 measurements; Beam prediction capability for L3 measurements.

18. A beam measurement method, characterized in that: Executed by a network device, the method includes: First measurement configuration information is sent to the terminal, where the first measurement configuration information is used to instruct the terminal to perform measurement using part of the receiving beams that the terminal needs to scan for each reference signal included in the first reference signal set.

19. The method according to claim 18, characterized in that The method further comprises: A first prediction result sent by the terminal is received, wherein the first prediction result includes a measurement result obtained by performing measurement using all receive beams that the terminal needs to scan for each reference signal included in the first reference signal set.

20. The method according to any one of claims 18 to 19, characterized in that The first reference signal set includes a plurality of reference signals, wherein the plurality of reference signals correspond to different transmit beams of the network device; The first prediction result includes at least one of the following: a first beam index, where the first beam index is used to identify an optimal transmit beam predicted from a plurality of transmit beams corresponding to the plurality of reference signals; a second beam index, where the second beam index is used to identify a best receive beam predicted from all receive beams that the terminal needs to scan, the best receive beam being used to measure a reference signal corresponding to the best transmit beam; The RSRP measurement result of each reference signal included in the first reference signal set.

21. The method according to any one of claims 18 to 20, characterized in that The first measurement configuration information is used for L1 measurement; or the first measurement configuration information is used for L3 measurement.

22. The method according to claim 21, characterized in that The first prediction result includes the first beam index and the second beam index, and the method further includes: Second measurement configuration information is sent to the terminal, where the second measurement configuration information is used to instruct the terminal to use the best receiving beam to perform measurement on a first reference signal, where the first reference signal is included in the first reference signal set and corresponds to the best transmitting beam.

23. The method according to claim 22, characterized in that The method further comprises: A second prediction result sent by the terminal is received, wherein the second prediction result includes a measurement result obtained by performing measurement using all receiving beams that the terminal needs to scan for the first reference signal prediction.

24. The method according to claim 23, wherein The second prediction result includes an RSRP measurement result of the first reference signal.

25. The method according to any one of claims 22 to 24, characterized in that The first measurement configuration information is used for L1 measurement, and the second measurement configuration information is used for L1 measurement; or, The first measurement configuration information is used for L3 measurement, and the second measurement configuration information is used for L3 measurement.

26. The method according to claim 21, characterized in that The first prediction result includes the first beam index and the second beam index, and the method further includes: Third measurement configuration information is sent to the terminal, where the third measurement configuration information is used to instruct the terminal to use the best receive beam to perform measurement on a second reference signal, where the second reference signal includes a reference signal corresponding to the best transmit beam in a second reference signal set.

27. The method according to claim 26, characterized in that The method further comprises: The third prediction result sent by the terminal is received, wherein the third prediction result includes a measurement result obtained by performing measurement using all receiving beams that the terminal needs to scan for the second reference signal prediction.

28. The method according to claim 27, characterized in that The third prediction result includes an RSRP measurement result of the second reference signal.

29. The method according to any one of claims 26 to 28, characterized in that The first measurement configuration information is used for L1 measurement, and the second measurement configuration information is used for L3 measurement; or, The first measurement configuration information is used for L3 measurement, and the second measurement configuration information is used for L1 measurement.

30. The method according to any one of claims 18 to 29, characterized in that The probability that the best receiving beam is included in the portion of receiving beams that the terminal needs to scan exceeds a threshold.

31. The method according to any one of claims 18 to 30, characterized in that The method further comprises: Receive terminal capability information sent by the terminal, where the terminal capability information is used to indicate that the terminal supports beam prediction capability.

32. The method according to claim 31, characterized in that The beam prediction capability includes at least one of the following: AI-based beam prediction capabilities; Beam prediction capability based on spatial prediction algorithm; Beam prediction capability for L1 measurements; Beam prediction capability for L3 measurements.

33. A beam measurement device, characterized in that: The device comprises: A first transceiver module, configured to receive first measurement configuration information sent by a network device, where the first measurement configuration information is used to perform measurement on a first reference signal set; a measurement module, configured to perform measurement on each reference signal included in the first reference signal set using a portion of the receive beams that the terminal needs to scan, to obtain a first measurement result; A prediction module is used to predict a first prediction result based on the first measurement result, where the first prediction result includes a measurement result obtained by measuring each reference signal included in the first reference signal set using all the receiving beams that the terminal needs to scan.

34. A beam measurement device, characterized in that The device comprises: The second transceiver module is used to send first measurement configuration information to the terminal, where the first measurement configuration information is used to indicate Indicates that the terminal uses part of the receiving beam that the terminal needs to scan to perform measurement for each reference signal included in the first reference signal set.

35. A terminal, characterized in that: include: one or more processors; The terminal is used to execute the beam measurement method according to any one of claims 1 to 17.

36. A network device, characterized in that: include: one or more processors; The network device is used to execute the beam measurement method according to any one of claims 18 to 32.

37. A communication device, characterized in that: include: one or more processors; The processor is used to call instructions to enable the communication device to execute the beam measurement method according to any one of claims 1-17 or 18-32.

38. A communication system, characterized in that: The method comprises a terminal and a network device, wherein the terminal is configured to implement the beam measurement method according to any one of claims 1 to 17, and the network device is configured to implement the beam measurement method according to any one of claims 18 to 32.

39. A storage medium storing instructions, characterized in that: When the instruction is executed on a communication device, the communication device is caused to perform the beam measurement method according to any one of claims 1 to 17 or 18 to 32.

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