Information sending method and apparatus, information receiving methods and apparatuses, terminal, network device and storage medium

Abstract

The present disclosure relates to the technical field of communications, and in particular relates to an information sending method and apparatus, information receiving methods and apparatuses, a terminal, a network device and a storage medium. The information sending method comprises: sending first indication information to a network device, the first indication information being used for indicating an RSRP prediction result of a first model, and the RSRP prediction result being used for the network device to determine whether the RSRP prediction result is accurate. In the present disclosure, a terminal reports an RSRP test result to the network device, such that the network device can determine whether the RSRP prediction result is accurate, and thus, when it is determined that the RSRP prediction result is inaccurate, instruct the terminal to adjust an RSRP determination mode, thereby determining accurate RSRP.

Description

Information sending, receiving method and device, terminal, network device and storage medium TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of communication, and in particular, to an information sending method, an information receiving method, a terminal, a network device, a communication system and a storage medium. BACKGROUND

[0002] In a scenario where a network device communicates with a terminal, the network device can communicate with the terminal in a manner of beam sweeping, and the terminal can detect a reference signal on a beam to determine a reference signal receiving power (RSRP). However, since there are relatively many beams, if the terminal determines the RSRP by detecting the reference signal for each beam, it will cause a large overhead to the terminal.

[0003] SUMMARY

[0004] Embodiments of the present disclosure provide an information sending, receiving method and device, a terminal, a network device and a storage medium to solve the technical problems in the related art.

[0005] According to a first aspect of embodiments of the present disclosure, an information sending method is provided, executed by a terminal, and the method comprises: sending first indication information to a network device, wherein the first indication information is used to indicate an RSRP prediction result of a first model, and the RSRP prediction result is used for the network device to determine whether the RSRP prediction result is accurate.

[0006] According to a second aspect of embodiments of the present disclosure, an information receiving method is provided, executed by a network device, and the method comprises: receiving first indication information sent by a terminal, wherein the first indication information is used to indicate an RSRP prediction result of a first model; and determining whether the RSRP prediction result is accurate.

[0007] According to a third aspect of embodiments of the present disclosure, an information receiving method is provided, executed by a test device, and the method comprises: receiving first indication information sent by a terminal, wherein the first indication information is used to indicate an RSRP prediction result of a first model; determining whether the RSRP prediction result is accurate; and sending second indication information to the terminal and / or a network device, wherein the second indication information is used to indicate that the RSRP prediction result is accurate or inaccurate.

[0008] According to a fourth aspect of the embodiments of the present disclosure, an information sending apparatus is provided, which comprises a sending module configured to send first indication information to a network device, wherein the first indication information is used to indicate an RSRP prediction result of a first model, and the RSRP prediction result is used for the network device to determine whether the RSRP prediction result is accurate.

[0009] According to a fifth aspect of the embodiments of the present disclosure, an information receiving apparatus is provided, which comprises a receiving module configured to receive first indication information sent by a terminal, wherein the first indication information is used to indicate an RSRP prediction result of a first model; and a processing module configured to determine whether the RSRP prediction result is accurate.

[0010] According to a sixth aspect of the embodiments of the present disclosure, an information receiving apparatus is provided, which comprises a receiving module configured to receive first indication information sent by a terminal, wherein the first indication information is used to indicate an RSRP prediction result of a first model; a processing module configured to determine whether the RSRP prediction result is accurate; and a sending module configured to send second indication information to the terminal and / or a network device, wherein the second indication information is used to indicate that the RSRP prediction result is accurate or inaccurate.

[0011] According to a seventh aspect of the embodiments of the present disclosure, a terminal is provided, which comprises one or more processors; and the terminal is configured to perform the information sending method of the first aspect.

[0012] According to an eighth aspect of the embodiments of the present disclosure, a network device is provided, which comprises one or more processors; and the network device is configured to perform the information receiving method of the second aspect.

[0013] According to a ninth aspect of the embodiments of the present disclosure, a test device is provided, which comprises one or more processors; and the network device is configured to perform the information receiving method of the third aspect.

[0014] According to a seventh aspect of the embodiments of the present disclosure, a communication system is provided, which comprises a terminal and a network device, wherein the terminal is configured to implement the information sending method of the first aspect, and the network device is configured to implement the information receiving method of the second aspect.

[0015] According to an eighth aspect of the embodiments of the present disclosure, a storage medium is provided, which stores instructions, when the instructions run on a communication device, the communication device is caused to perform the information sending method of the first aspect, and / or the information receiving method of the second aspect.

[0016] According to a ninth aspect of the embodiments of the present disclosure, a program product is provided. The program product, when executed by a communication device, causes the communication device to perform the information sending method of the first aspect, and / or the information receiving method of the second aspect.

[0017] According to the embodiments of the present disclosure, the terminal reports the RSRP test result to the network device, and the network device can determine whether the RSRP prediction result is accurate, so as to instruct the terminal to adjust the RSRP determination manner in the case that the RSRP prediction result is determined to be inaccurate, and then determine the accurate RSRP. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings needed to be used in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present disclosure, and other drawings can also be obtained by those skilled in the art without any creative effort based on these drawings.

[0019] FIG. 1 is an architecture schematic diagram of a communication system according to an embodiment of the present disclosure.

[0020] FIG. 2A is an interaction schematic diagram of an information sending method according to an embodiment of the present disclosure.

[0021] FIG. 2B is an interaction schematic diagram of an information sending method according to an embodiment of the present disclosure.

[0022] FIG. 3 is a schematic diagram of measuring a reference signal according to an embodiment of the present disclosure.

[0023] FIG. 4 is a schematic flowchart of an information sending method according to an embodiment of the present disclosure.

[0024] FIG. 5 is a schematic flowchart of an information receiving method according to an embodiment of the present disclosure.

[0025] FIG. 6 is a schematic flowchart of an information receiving method according to an embodiment of the present disclosure.

[0026] FIG. 7 is a schematic block diagram of an information sending apparatus according to an embodiment of the present disclosure.

[0027] FIG. 8 is a schematic block diagram of an information receiving apparatus according to an embodiment of the present disclosure.

[0028] FIG. 9 is a schematic block diagram of an information receiving apparatus according to an embodiment of the present disclosure.

[0029] FIG. 10A is a structural schematic diagram of a communication device according to an embodiment of the present disclosure.

[0030] FIG. 10B is a structural schematic diagram of a chip according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0031] Embodiments of the present disclosure provide information sending, receiving methods and apparatuses, terminals, network devices, and storage media.

[0032] In a first aspect, embodiments of the present disclosure provide a method for information sending, performed by a terminal, the method comprising: sending first indication information to a network device, wherein the first indication information is used to indicate an RSRP prediction result of a first model, and the RSRP prediction result is used by the network device to determine whether the RSRP prediction result is accurate.

[0033] In the above embodiments, the terminal reports an RSRP test result to the network device, and the network device can determine whether the RSRP prediction result is accurate, so as to instruct the terminal to adjust an RSRP determination manner in a case where it is determined that the RSRP prediction result is inaccurate, and then determine an accurate RSRP.

[0034] In combination with some embodiments of the first aspect, in some embodiments, the RSRP prediction result comprises: an RSRP predicted from a reference signal; or the RSRP predicted from the reference signal and an index of a corresponding beam of the reference signal.

[0035] In combination with some embodiments of the first aspect, in some embodiments, the RSRP predicted from the reference signal comprises one of: one RSRP predicted from one reference signal; or multiple RSRPs predicted from multiple reference signals.

[0036] In combination with some embodiments of the first aspect, in some embodiments, the one RSRP is used by the network device to determine whether the RSRP test result is accurate.

[0037] In combination with some embodiments of the first aspect, in some embodiments, the one RSRP predicted from one reference signal comprises a first RSRP predicted from a first reference signal; and an index of a corresponding beam of the first reference signal is used by the network device to determine a first transmission power of the first reference signal.

[0038] In combination with some embodiments of the first aspect, in some embodiments, the first indication information is further used to indicate a beamforming gain of the terminal; and wherein the first RSRP, the first transmission power, and the beamforming gain are used by the network device to determine whether the RSRP prediction result is accurate.

[0039] In some embodiments of the first aspect, the first RSRP, the first transmit power, a maximum value of the beamforming gain specified by a predefined rule, a minimum value of the beamforming gain specified by the predefined rule, are used by the network device to determine whether the RSRP prediction result is accurate.

[0040] In some embodiments of the first aspect, the first RSRP, the first transmit power, a maximum value of the beamforming gain specified by a predefined rule, an offset of the maximum value specified by the predefined rule, are used by the network device to determine whether the RSRP prediction result is accurate.

[0041] In some embodiments of the first aspect, the first indication information is further used to indicate a measurement result of the reference signal by the terminal; and the first RSRP and the measurement result are used by the network device to determine whether the RSRP prediction result is accurate.

[0042] In some embodiments of the first aspect, the difference of the multiple RSRPs is used by the network device to determine whether the RSRP test result meets a relative accuracy requirement.

[0043] In some embodiments of the first aspect, the multiple RSRPs include one of: multiple RSRPs predicted from reference signals in a same beam direction; and multiple RSRPs predicted from reference signals in different beam directions.

[0044] In a second aspect, embodiments of the present disclosure provide a method for receiving information, performed by a network device, the method comprising: receiving first indication information sent by a terminal, wherein the first indication information is used to indicate a RSRP prediction result of a first model; and determining whether the RSRP prediction result is accurate.

[0045] In some embodiments of the second aspect, the RSRP prediction result includes: an RSRP predicted from a reference signal; or an RSRP predicted from a reference signal and an index of a corresponding beam of the reference signal.

[0046] In some embodiments of the second aspect, the RSRP predicted from the reference signal includes one of: one RSRP predicted from one reference signal; or multiple RSRPs predicted from multiple reference signals.

[0047] In some embodiments of the second aspect, the one RSRP is used by the network device to determine whether the RSRP test result is accurate.

[0048] Some embodiments of the second aspect are combined with some embodiments of the first aspect. In some embodiments, the RSRP predicted by the one reference signal comprises a first RSRP predicted by a first reference signal; and the index of the corresponding beam of the first reference signal is used by the network device to determine a first transmission power of the first reference signal.

[0049] Some embodiments of the second aspect are combined with some embodiments of the first aspect. In some embodiments, the first indication information further indicates a beamforming gain of the terminal; and the determining whether the RSRP prediction result is accurate comprises determining whether the RSRP prediction result is accurate according to the first RSRP, the first transmission power, and the beamforming gain.

[0050] Some embodiments of the second aspect are combined with some embodiments of the first aspect. In some embodiments, the determining whether the RSRP prediction result is accurate comprises determining whether the RSRP prediction result is accurate according to the first RSRP, the first transmission power, a maximum value of beamforming gain specified by a predefined rule, and a minimum value of beamforming gain specified by the predefined rule.

[0051] Some embodiments of the second aspect are combined with some embodiments of the first aspect. In some embodiments, the determining whether the RSRP prediction result is accurate comprises determining whether the RSRP prediction result is accurate according to the first RSRP, the first transmission power, a maximum value of beamforming gain specified by a predefined rule, and an offset of the maximum value specified by the predefined rule.

[0052] Some embodiments of the second aspect are combined with some embodiments of the first aspect. In some embodiments, the first indication information further indicates a measurement result of the terminal on the reference signal; and the determining whether the RSRP prediction result is accurate comprises determining whether the RSRP prediction result is accurate according to the first RSRP and the measurement result.

[0053] Some embodiments of the second aspect are combined with some embodiments of the first aspect. In some embodiments, the determining whether the RSRP prediction result is accurate comprises determining whether the RSRP prediction result satisfies a relative accuracy requirement according to a difference value of the multiple RSRPs.

[0054] Some embodiments of the second aspect are combined with some embodiments of the first aspect. In some embodiments, the multiple RSRPs comprise one of: multiple RSRPs predicted by reference signals in a same beam direction; and multiple RSRPs predicted by reference signals in different beam directions.

[0055] In a third aspect, embodiments of the present disclosure provide a method for receiving information, performed by a test device, the method comprising: receiving first indication information sent by a terminal, wherein the first indication information is used to indicate a RSRP prediction result of a first model; determining whether the RSRP prediction result is accurate; and sending second indication information to the terminal and / or a network device, wherein the second indication information is used to indicate that the RSRP prediction result is accurate or inaccurate.

[0056] In a fourth aspect, embodiments of the present disclosure provide an apparatus for sending information, the apparatus comprising: a sending module configured to send first indication information to a network device, wherein the first indication information is used to indicate a RSRP prediction result of a first model, and the RSRP prediction result is used by the network device to determine whether the RSRP prediction result is accurate.

[0057] In a fifth aspect, embodiments of the present disclosure provide an apparatus for receiving information, the apparatus comprising: a receiving module configured to receive first indication information sent by a terminal, wherein the first indication information is used to indicate a RSRP prediction result of a first model; and a processing module configured to determine whether the RSRP prediction result is accurate.

[0058] In a sixth aspect, embodiments of the present disclosure provide an apparatus for receiving information, the apparatus comprising: a receiving module configured to receive first indication information sent by a terminal, wherein the first indication information is used to indicate a RSRP prediction result of a first model; a processing module configured to determine whether the RSRP prediction result is accurate; and a sending module configured to send second indication information to the terminal and / or a network device, wherein the second indication information is used to indicate that the RSRP prediction result is accurate or inaccurate.

[0059] In a seventh aspect, embodiments of the present disclosure provide a terminal, comprising: one or more processors; wherein the terminal is configured to perform the information sending method of the first aspect or any one of the optional embodiments of the first aspect.

[0060] In an eighth aspect, embodiments of the present disclosure provide a network device, comprising: one or more processors; wherein the network device is configured to perform the information receiving method of the second aspect or any one of the optional embodiments of the second aspect.

[0061] In a ninth aspect, embodiments of the present disclosure provide a test device, comprising: one or more processors; wherein the network device is configured to perform the information receiving method of the third aspect.

[0062] In a tenth aspect, embodiments of the present disclosure provide a communication system, comprising a terminal configured to implement the information sending method of the first aspect or any of the optional embodiments of the first aspect, and a network device configured to implement the information receiving method of the second aspect or any of the optional embodiments of the second aspect.

[0063] In an eleventh aspect, embodiments of the present disclosure provide a storage medium storing instructions that, when executed on a communication device, cause the communication device to perform the information sending method of the first aspect or any of the optional embodiments of the first aspect, and / or the information receiving method of the second aspect or any of the optional embodiments of the second aspect.

[0064] In a twelfth aspect, embodiments of the present disclosure provide a program product that, when executed on a communication device, causes the communication device to perform the information sending method of the first aspect or any of the optional embodiments of the first aspect, and / or the information receiving method of the second aspect or any of the optional embodiments of the second aspect.

[0065] In a thirteenth aspect, embodiments of the present disclosure provide a computer program that, when executed on a computer, causes the computer to perform the information sending method of the first aspect or any of the optional embodiments of the first aspect, and / or the information receiving method of the second aspect or any of the optional embodiments of the second aspect.

[0066] It can be understood that the above information sending and receiving apparatuses, communication devices, communication systems, storage media, program products, and computer programs are all used to perform the methods proposed in the embodiments of the present disclosure. Therefore, the beneficial effects they can achieve can refer to the beneficial effects in the corresponding methods, which will not be described here again.

[0067] Embodiments of the present disclosure provide information sending and receiving methods and apparatuses, terminals, network devices, and storage media. In some embodiments, the terms information sending and receiving method, information processing method, and communication method can be replaced with each other, the terms information sending and receiving apparatus, information processing apparatus, and communication apparatus can be replaced with each other, and the terms information processing system and communication system can be replaced with each other.

[0068] The embodiments of the present disclosure are not exhaustive, but only illustrate some embodiments, and are not specific limitations on the protection scope of the present disclosure. In the case of no contradiction, each step in an embodiment can be implemented as an independent embodiment, and the steps can be combined arbitrarily, for example, the scheme after removing part of the steps in an embodiment can also be implemented as an independent embodiment, and the order of the steps in an embodiment can be exchanged arbitrarily, in addition, the optional implementation in an embodiment can be combined arbitrarily; in addition, the embodiments can be combined arbitrarily, for example, part or all steps of different embodiments can be combined arbitrarily, an embodiment can be combined with optional implementation of other embodiments.

[0069] In each embodiment of the present disclosure, the terms and / or descriptions between the embodiments are consistent if there is no special description and logical conflict, and can be referred to each other, and the technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationship.

[0070] The terms used in the embodiments of the present disclosure are only for the purpose of describing the specific embodiments, and not as a limitation on the present disclosure.

[0071] In the embodiments of the present disclosure, unless otherwise specified, the elements expressed in singular form, such as "one", "a", "the", "above", "said", "preceding", "this" and the like, can represent "one and only one", and can also represent "one or more", "at least one" and the like.

[0072] For example, in the case of using articles such as "a", "an", "the" and the like in translation, the noun after the article can be understood as singular expression, and can also be understood as plural expression.

[0073] In the embodiments of the present disclosure, "plurality" means two or more.

[0074] In some embodiments, the terms "at least one of", "one or more", "a plurality of", "multiple" and the like can be replaced with each other.

[0075] In some embodiments, the description of "at least one of A, B", "A and / or B", "one of A or B", "at least one of A or B", "one of A or B" and the like, can include the following technical solutions according to the situation: in some embodiments, A is executed (A is executed regardless of B); in some embodiments, B is executed (B is executed regardless of A); in some embodiments, A and B are selectively executed (A and B are selected from A and B); in some embodiments, A and B are executed (A and B are executed). When there are more branches such as A, B, C, and the like, the above description is similar.

[0076] In some embodiments, the description of "A or B" and the like can include the following technical solutions according to the situation: in some embodiments, A is executed (A is executed regardless of B); in some embodiments, B is executed (B is executed regardless of A); in some embodiments, A and B are selectively executed (A and B are selected from A and B). When there are more branches such as A, B, C, and the like, the above description is similar.

[0077] The prefix words "first", "second" and the like in the embodiments of the present disclosure are only used to distinguish different description objects, and do not constitute a limitation on the position, order, priority, quantity or content of the description objects. The description of the description objects should refer to the description in the context of the claims or embodiments, and should not constitute an unnecessary limitation because of the use of the prefix words.

[0078] For example, the description object is "field", and the ordinal words before "field" in "first field" and "second field" do not limit the position or order between "fields". "First" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of "first field" and "second field". For another example, the description object is "level", and the ordinal words before "level" in "first level" and "second level" do not limit the priority between "levels". For another example, the number of description objects is not limited by ordinal words, and can be one or more. For example, "first device", where the number of "devices" can be one or more. In addition, objects modified by different prefix words can be the same or different, for example, the description object is "device", and "first device" and "second device" can be the same device or different devices, and their types can be the same or different. For another example, the description object is "information", and "first information" and "second information" can be the same information or different information, and their contents can be the same or different.

[0079] In some embodiments, "including A", "containing A", "for indicating A", "carrying A" can be interpreted as directly carrying A, or indirectly indicating A.

[0080] In some embodiments, the terms "in response to", "in response to determining", "in the case of", "when", "if", "if", etc. can be replaced with each other.

[0081] In some embodiments, the terms "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not lower than", "above", etc. can be replaced with each other, and the terms "less than", "less than or equal to", "not greater than", "less than", "less than or equal to", "not more than", "lower than", "lower than or equal to", "not higher than", "below", etc. can be replaced with each other.

[0082] In some embodiments, the apparatus, etc. can be interpreted as physical or virtual, and the names thereof are not limited to the names described in the embodiments. The terms "apparatus", "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject", etc. can be replaced with each other.

[0083] In some embodiments, "network" can be interpreted as an apparatus (e.g., an access network device, a core network device, etc.) included in the network.

[0084] 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 can be used interchangeably.

[0085] 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," and so on can be replaced with each other.

[0086] In some embodiments, the access network device, the core network device, or the network device can be replaced with a terminal. For example, the embodiments of the present disclosure can also be applied to a structure in which communication between the access network device, the core network device, or the network device and the terminal is replaced with communication between a plurality of terminals (e.g., device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, the terminal can also be configured to have all or part of the functions of the access network device. In addition, the terms "uplink," "downlink," and the like can also be replaced with terms corresponding to the inter-terminal communication (e.g., "side"). For example, the uplink channel, the downlink channel, and the like can be replaced with the side channel, and the uplink, the downlink, and the like can be replaced with the sidelink.

[0087] In some embodiments, the terminal can be replaced with the access network device, the core network device, or the network device. In this case, the access network device, the core network device, or the network device can also be configured to have all or part of the functions of the terminal.

[0088] In some embodiments, the data, information, etc. can be obtained in compliance with the laws and regulations of the country where the location is situated.

[0089] In some embodiments, the data, information, etc. can be obtained after obtaining the consent of the user.

[0090] In addition, each element, each row, or each column in the table of the embodiments of the present disclosure can be implemented as an independent embodiment, and any combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0091] FIG. 1 is a schematic diagram of an architecture of a communication system according to an embodiment of the present disclosure.

[0092] As shown in FIG. 1, the communication system 100 includes a terminal 101 and a network device 102, where the network device includes at least one of the following: an access network device, a core network device.

[0093] In some embodiments, the terminal 101 includes at least one of the following, but is not limited thereto: a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a Pad, 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 smart grid, a wireless terminal device in transportation safety, a wireless terminal device in smart city, a wireless terminal device in smart home, etc.

[0094] In some embodiments, the access network device is, for example, a node or device that accesses a terminal to a wireless network, and the access network device can include at least one of an evolved NodeB (eNB) in a 5G communication system, a next generation eNB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved node B (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, an access node in a Wi-Fi system, but is not limited thereto.

[0095] In some embodiments, the core network device can be one device including one or more network elements, or can be multiple devices or device groups including all or part of the one or more network elements described above. The network element can be virtual or physical. The core network includes, for example, at least one of an evolved packet core (EPC), a 5G core network (5GCN), and a next generation core (NGC).

[0096] In some embodiments, the technical solutions of the present disclosure can be applied to an Open RAN architecture, at which time the interfaces between or within the access network devices involved in the embodiments of the present disclosure can become internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be realized through software or programs.

[0097] In some embodiments, the access network device can be composed of a central unit (CU) and a distributed unit (DU), where the CU can also be referred to as a control unit. The CU-DU structure can split the protocol layers of the access network device, and some of the protocol layers are controlled by the CU, and the remaining or all of the protocol layers are distributed in the DU and controlled by the CU, but is not limited thereto.

[0098] It can be understood that the communication system described in the embodiments of the present disclosure is for more clearly illustrating the technical solutions of the embodiments of the present disclosure, and does not constitute a limitation on the technical solutions proposed by the embodiments of the present disclosure. Those skilled in the art can know that, with the evolution of system architecture and the appearance of new business scenarios, the technical solutions proposed by the embodiments of the present disclosure are also applicable to similar technical problems.

[0099] The following embodiments of the present disclosure can be applied to the communication system 100 shown in FIG. 1 or part of the subjects, but are not limited thereto. The subjects shown in FIG. 1 are exemplary, and the communication system can include all or part of the subjects in FIG. 1, or other subjects other than FIG. 1. The number and form of each subject is arbitrary, each subject can be real or virtual, the connection relationship between each subject is exemplary, each subject can not be connected or can be connected, the connection can be in any way, can be direct connection or indirect connection, can be wired connection or wireless connection.

[0100] 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 (Bluetooth (registered trademark)), Public Land Mobile Network (PLMN) network, Device-to-Device (D2D) system, Machine to Machine (M2M) system, Internet of Things (IoT) system, Vehicle-to-Everything (V2X), system using other communication methods, next-generation system expanded based thereon, and the like. Further, a plurality of systems can be applied in combination (for example, combination of LTE or LTE-A and 5G, and the like).

[0101] In some embodiments, in a scenario where a network device communicates with a terminal, the network device can communicate with the terminal in a manner of beam sweeping, and the terminal can detect a reference signal on a beam to determine a reference signal receiving power (RSRP). However, since there are relatively many beams, if the terminal determines the RSRP by detecting the reference signal for each beam, it will cause a large overhead to the terminal.

[0102] Therefore, in some embodiments, the RSRP can be predicted based on artificial intelligence (AI), for example, a model is trained based on machine learning, deep learning, etc., and the RSRP is predicted by the model. In the case of predicting the RSRP based on AI, the accuracy of the prediction result needs to be verified.

[0103] FIG. 2A is an interaction diagram illustrating an information sending method according to an embodiment of the present disclosure.

[0104] As shown in FIG. 2A, the information sending method can include the following steps:

[0105] In step S201, the terminal sends first indication information to the network device.

[0106] In some embodiments, the network device can receive the first indication information.

[0107] In some embodiments, the network device can be a test equipment (TE) for determining whether the RSRP prediction result is accurate.

[0108] In some embodiments, the first indication information is used to indicate the RSRP prediction result of the first model.

[0109] In some embodiments, the RSRP prediction result predicted by the first model can be obtained by predicting the RSRP of layer 1 (L1), and in this case, the RSRP can be L1-RSRP.

[0110] In some embodiments, the first model can be trained based on machine learning, deep learning, etc. The present disclosure does not limit the input and output of the first model, for example, the output of the first model can include the predicted RSRP, and the input of the first model can include time, identifier of the terminal, identifier of the network device, identifier of the cell where the terminal is located, etc.

[0111] In step S202, the network device can determine whether the RSRP prediction result is accurate.

[0112] According to an embodiment of the present disclosure, the terminal reports the RSRP test result to the network device, and the network device can determine whether the RSRP prediction result is accurate, so as to instruct the terminal to adjust the RSRP determination manner in the case where it is determined that the RSRP prediction result is inaccurate, and then determine the accurate RSRP.

[0113] It should be noted that the present disclosure does not limit the operation after the network device determines whether the RSRP prediction result is accurate. For example, if the network device determines that the RSRP prediction result is accurate, it can instruct the terminal to predict the RSRP based on AI, for example, the terminal uses the first model to predict the subsequent RSRP; for example, if the network device determines that the RSRP prediction result is inaccurate, it can instruct the terminal to adjust the manner of determining the RSRP, for example, adjust the first model, or determine the RSRP in other manners, for example, not predict the RSRP based on AI, but determine the RSRP by detecting the reference signal.

[0114] In some embodiments, the reference signal may, for example, be a channel state information reference signal (CSI-RS), or other reference signals such as a tracking reference signal (TRS), and the present disclosure does not limit this. The following embodiments mainly illustrate the technical solutions of the present disclosure in the case where the reference signal is a CSI-RS.

[0115] In some embodiments, the RSRP prediction result includes: the RSRP predicted by the reference signal; or the RSRP predicted by the reference signal and the index of the beam corresponding to the reference signal.

[0116] For example, the RSRP prediction result reported by the terminal to the network device through the first indication information can only include the RSRP predicted by the reference signal by the first model, and does not include the index of the beam corresponding to the reference signal.

[0117] For example, the RSRP prediction result reported by the terminal to the network device through the first indication information can include the RSRP predicted by the reference signal by the first model and the index of the beam corresponding to the reference signal.

[0118] In some embodiments, the RSRP predicted by the reference signal includes one of: one RSRP predicted by one reference signal; or multiple RSRPs predicted by multiple reference signals.

[0119] For example, the RSRP predicted by the first model of the terminal to the reference signal reported to the network device through the first indication information can only include one RSRP predicted by one reference signal; or the RSRP predicted by the first model of the terminal to the reference signal reported to the network device through the first indication information can include multiple RSRPs predicted by multiple reference signals (such as multiple CSI-RSs at different times).

[0120] Regarding whether the network device determines the accuracy of the RSRP prediction result, it can include two ways, one is to determine the absolute RSRP prediction accuracy (Absolute L1-RSRP prediction accuracy), and the other is to determine the relative RSRP prediction accuracy (Relative L1-RSRP prediction accuracy).

[0121] The following will illustrate the determination of the absolute RSRP prediction accuracy through several embodiments.

[0122] In some embodiments, the one RSRP is used by the network device to determine whether the RSRP test result is accurate. The network device can determine the absolute RSRP prediction accuracy based on one RSRP.

[0123] For example, the absolute RSRP prediction accuracy can be equal to the difference between the L1-RSRP (predicted L1-RSRP of beam index n) predicted by the terminal to the reference signal on the beam with index n and the ideal absolute L1-RSRP (ideal absolute L1-RSRP of beam index n) on the beam with index n, that is: Absolute L1-RSRP prediction accuracy = predicted L1-RSRP of beam index n-ideal absolute L1-RSRP of beam index n.

[0124] In some embodiments, the ideal absolute L1-RSRP can correspond to the L1-RSRP actually measured by the terminal to the reference signal. The reference signal can be transmitted in the FR1 frequency band or in the FR2 frequency band, and the present disclosure does not limit this. When the reference signal is transmitted in the FR2 frequency band, the L1-RSRP actually measured by the terminal to the reference signal can be measured by the Over The Air (OTA) method.

[0125] FIG. 3 is a schematic diagram illustrating a measurement reference signal according to an embodiment of the present disclosure.

[0126] As shown in FIG. 3, a transmitting end (TX) of a reference signal can transmit the reference signal to a receiving end (RX, e.g., a terminal) of the reference signal through a beam.

[0127] The terminal can receive the reference signal through multiple antennas (e.g., an antenna array) and perform beamforming on the received reference signal.

[0128] Here, for the received reference signal, the RSRP measured before beamforming can be referred to as the RSRP of reference point A (RSRP ref point A), and the RSRP measured after beamforming can be referred to as the RSRP of reference point B (RSRP ref point B).

[0129] The L1-RSRP actually measured by the terminal on the reference signal refers to the L1-RSRP of reference point B of the terminal, and the L1-RSRP of reference point B is the L1-RSRP measured after beamforming, so the L1-RSRP of reference point B is affected by the beamforming gain, and both the L1-RSRP of reference point A and the L1-RSRP of reference point B are affected by the transmission power of the reference signal.

[0130] Therefore, in some embodiments, the ideal absolute L1-RSRP can correspond to the L1-RSRP actually measured by the terminal on the reference signal, and when the L1-RSRP actually measured by the terminal on the reference signal is the L1-RSRP of reference point B, the ideal absolute L1-RSRP is affected by two factors, one of which is the transmission power of the reference signal, e.g., referred to as P0, and the other is the beamforming gain.

[0131] In some embodiments, the predicted RSRP of the one reference signal includes a first RSRP predicted of a first reference signal; and the index of the beam corresponding to the first reference signal is used by the network device to determine a first transmission power of the first reference signal.

[0132] For example, the terminal can predict a RSRP of one reference signal, specifically a first RSRP predicted of a first reference signal. The terminal can indicate the index of the beam corresponding to the first reference signal, e.g., index #i, to the network device through the first indication information.

[0133] When the network device is a transmission end of the first reference signal, in this case, the network device can determine the first transmission power P0 of the first reference signal on the beam corresponding to the index #i; or when the network device can communicate with the transmission end of the first reference signal, the network device can send the index #i to the transmission end, and the transmission end can determine the first transmission power P0 of the first reference signal on the beam corresponding to the index #i, and feed back the determined first transmission power P0 to the network device.

[0134] The determination of the absolute RSRP prediction accuracy is exemplarily illustrated below mainly based on four manners.

[0135] Manner one:

[0136] In some embodiments, the first indication information is further used to indicate a beamforming gain of the terminal; wherein the first RSRP, the first transmission power and the beamforming gain are used by the network device to determine whether the RSRP prediction result is accurate.

[0137] In some embodiments, since the beamforming is performed by the terminal, the beamforming gain can be known to the terminal, for example, referred to as G0, and the terminal can indicate the beamforming gain G0 to the network device through the first indication information. In this case, the network device determines P0 and G0, that is, two influencing factors of the ideal absolute L1-RSRP, and thus can determine the ideal absolute L1-RSRP.

[0138] For example, the ideal absolute L1-RSRP can be represented by P0+G0, and then the network device can determine whether the RSRP prediction result is accurate based on the first RSRP predicted by the terminal, the first transmission power P0 and the beamforming gain G0.

[0139] For example, the unit of the first RSRP is decibel milliwatt (dBm), and then the first RSRP can be referred to as Predicted RSRP (dBm), and then the absolute RSRP prediction accuracy can be equal to Predicted RSRP (dBm)-(P0+G0). The network device can compare the absolute RSRP prediction accuracy with the absolute accuracy requirement Y1, so as to determine whether the RSRP prediction result is accurate.

[0140] For example, the network device can determine whether the following formula is true:

[0141] -Y1≤Predicted RSRP (dBm)-(P0+G0)≤Y1, or can be written as P0+G0-Y1≤Predicted RSRP (dBm)≤P0+G0+Y1.

[0142] If the formula is established, the network device can determine that the RSRP prediction result is accurate; if the formula is not established, the network device can determine that the RSRP prediction result is inaccurate.

[0143] It should be noted that in the first to fourth manners, the first transmission power can be fixed or can change over time. In the case of a fixed first transmission power, the first transmission power can be written as P0; in the case of a first transmission power changing over time, the first transmission power can be P0+P t In this case, P0 represents the initial value of the first transmission power, and P0 represents the change amount of the first transmission power over time. The judgment logic in this case is similar, except that P0 in the judgment formula can also be replaced by P0+P t The present disclosure will not be repeated here.

[0144] Manner two:

[0145] In some embodiments, the first RSRP, the first transmission power, the maximum value of the beamforming gain specified by the predefined rule, and the minimum value of the beamforming gain specified by the predefined rule are used by the network device to determine whether the RSRP prediction result is accurate.

[0146] In some embodiments, the minimum value of the beamforming gain G min and the maximum value of the beamforming gain G max may be specified by a predefined rule, for example, agreed by a protocol. In the case of an ideal absolute L1-RSRP being characterized by the first transmission power and the beamforming gain, it can be characterized as [P0+G min ,P0+G max ]. Therefore, the network device can determine whether the RSRP prediction result is accurate based on the first transmission power P0, the maximum value of the beamforming gain G max specified by the predefined rule, and the minimum value of the beamforming gain G min specified by the predefined rule.

[0147] For example, the unit of the first RSRP is decibel milliwatt (dBm), and the first RSRP can be referred to as Predicted RSRP (dBm). Therefore, the absolute RSRP prediction accuracy can be equal to Predicted RSRP (dBm)-[P0+G min ,P0+G max ]. The network device can compare the absolute RSRP prediction accuracy with the absolute accuracy requirement Y1 to determine whether the RSRP prediction result is accurate.

[0148] For example, the network device can determine whether the following formula is established:

[0149] Y1≤ Predicted RSRP (dBm) - [P0+G min ]≤ Y1, or can be written as P0+G max ]≤ Y1, or can be written as P0+G min -Y1≤ Predicted RSRP (dBm)≤ P0+G max +Y1.

[0150] If the formula is correct, the network device can determine that the RSRP prediction result is accurate; if the formula is incorrect, the network device can determine that the RSRP prediction result is inaccurate.

[0151] Method three:

[0152] In some embodiments, the first RSRP, the first transmission power, a maximum value of the beamforming gain specified by a predefined rule, an offset of the maximum value specified by the predefined rule, are used by the network device to determine whether the RSRP prediction result is accurate.

[0153] In some embodiments, the maximum value of the beamforming gain G max may be specified by a predefined rule, for example, agreed by a protocol.

[0154] Although the beamforming gain can vary, it generally does not vary in a large range, for example, in the case of alignment of the transmission beam and the reception beam, the beamforming gain is the maximum value G max In actual communication process, even if the transmission beam and the reception beam are not aligned, there is generally only a small included angle, and there is generally no large included angle, so the beamforming gain generally does not reach the minimum value G min , but only a small offset X relative to G max .

[0155] Different from the range of the beamforming gain [G min , G max ] considered in method two, in the present embodiment, the range of the beamforming gain considered is [G max -X, G max ], wherein G max -X is greater than G min .

[0156] Then in the case of ideal absolute L1-RSRP being represented by the first transmission power and the beamforming gain, it can be represented as [P0+G max -X, P0+G max ], so the network device can determine whether the RSRP prediction result is accurate based on the first transmission power P0, the maximum value of the beamforming gain G max, the offset X of the maximum value specified by the predefined rule, to determine whether the RSRP prediction result is accurate.

[0157] For example, the unit of the first RSRP is decibel-milliwatt (dBm), and the first RSRP can be referred to as Predicted RSRP (dBm). Then, the absolute RSRP prediction accuracy can be equal to Predicted RSRP (dBm) - [P0 + G min , P0 + G max ]. The network device can compare the absolute RSRP prediction accuracy with the absolute accuracy requirement Y1 to determine whether the RSRP prediction result is accurate.

[0158] For example, the network device can determine whether the following formula is true:

[0159] - Y1 ≤ Predicted RSRP (dBm) - [P0 + G max - X, P0 + G max ] ≤ Y1, or can be written as P0 + G max - X - Y1 ≤ Predicted RSRP (dBm) ≤ P0 + G max + Y1.

[0160] If the formula is true, the network device can determine that the RSRP prediction result is accurate; if the formula is not true, the network device can determine that the RSRP prediction result is not accurate.

[0161] Mode four:

[0162] In some embodiments, the first indication information is further used to indicate a measurement result of the terminal on the reference signal; wherein the first RSRP and the measurement result are used by the network device to determine whether the RSRP prediction result is accurate.

[0163] In some embodiments, when the transmission power of the sending end of the first reference signal is very large, the signal-to-noise ratio of the terminal receiving the first reference signal is relatively small, and the noise can even be ignored. Then, the L1-RSRP of the reference point B as shown in FIG. 3, that is, the measurement result P B of the terminal on the reference signal, can be considered as an ideal absolute L1-RSRP, and the beamforming gain is already included in P B .

[0164] Then, in the case that the ideal absolute L1-RSRP is represented by P B , the network device can determine whether the RSRP prediction result is accurate based on the measurement result P B of the terminal on the reference signal.

[0165] For example, the first RSRP is in unit of decibel-milliwatt (dBm), the first RSRP can be referred to as Predicted RSRP (dBm), then the absolute RSRP prediction accuracy can be equal to Predicted RSRP (dBm) - P B The network device can compare the absolute RSRP prediction accuracy with the absolute accuracy requirement Y1, to determine whether the RSRP prediction result is accurate.

[0166] For example, the network device can determine whether the following formula is true:

[0167] -Y1≤ Predicted RSRP (dBm) - P B ≤ Y1, or can be written as P B -Y1≤ Predicted RSRP (dBm) ≤ P B + Y1.

[0168] If the formula is true, the network device can determine that the RSRP prediction result is accurate; if the formula is not true, the network device can determine that the RSRP prediction result is not accurate.

[0169] In some embodiments, determining whether the RSRP prediction result is accurate based on the absolute RSRP prediction accuracy can include the following steps:

[0170] Step A1: The TE configures the terminal to measure the L1-RSRP of the reference signal on each beam in the beam set B. The TE will send the reference signal of all beams in the beam set B.

[0171] Step A2: The terminal measures the L1-RSRP of the reference signal on each beam in the beam set B, and predicts the best measurement result L1-RSRP of the reference signal on the beam in the beam set A, and determines the index i of the beam corresponding to the best measurement result L1-RSRP, for example, the reference signal CSI-RS#0 corresponding to the best measurement result L1-RSRP, the index i can be represented by the index of the CSI-RS#0.

[0172] For example, the beams in set A can be less than the beams in set B, for example, among the beams measured by the terminal, there is 1 beam in set A among every 8 beams, and there are 7 beams in set B.

[0173] It should be noted that the prediction result in the embodiment can include the L1-RSRP predicted by the model, and can also include the L1-RSRP actually measured by the terminal. Therefore, the best measurement result L1-RSRP can be any L1-RSRP in the prediction result, which can be the L1-RSRP predicted by the model or the L1-RSRP actually measured by the terminal. Of course, the prediction result in the embodiment is only an example, and the prediction result can only include the L1-RSRP predicted by the model, so that the terminal can not need to perform the measurement of the reference signal on the beams in set B.

[0174] Step A3: The terminal reports the L1-RSRP of the CSI-RS#0 and the index of the L1-RSRP to the network device.

[0175] Step A4: The network device can determine the ideal absolute L1-RSRP according to the information reported by the terminal, for example, based on any one of the above modes one to four.

[0176] Step A5: The network device can compare the L1-RSRP of the CSI-RS#0 in the terminal in step A3 and the ideal absolute L1-RSRP in step A4 to determine whether the L1-RSRP prediction result is accurate.

[0177] The determination of the relative RSRP prediction accuracy is exemplarily illustrated by several embodiments.

[0178] In some embodiments, the difference of the plurality of RSRPs is used by the network device to determine whether the RSRP test result meets the relative accuracy requirement. The network device can determine the relative RSRP prediction accuracy based on the difference of the plurality of RSRPs.

[0179] In some embodiments, the plurality of RSRPs include one of the following:

[0180] The plurality of RSRPs predicted for the reference signals in the same beam direction;

[0181] The plurality of RSRPs predicted for the reference signals in different beam directions.

[0182] For example, the one RSRP includes multiple RSRPs predicted from reference signals in the same beam direction, then the relative RSRP prediction accuracy can be equal to the difference between the L1-RSRP predicted from a first reference signal RS0 in the beam direction 0 (predicted L1-RSRP of RS0 from beam direction 0) and the L1-RSRP predicted from a second reference signal RS1 in the beam direction 0 (predicted L1-RSRP of RS1 from beam direction 0), i.e., Relative L1-RSRP prediction accuracy = predicted L1-RSRP of RS0 from beam direction 0 - predicted L1-RSRP of RS1 from beam direction 0.

[0183] For example, the one RSRP includes multiple RSRPs predicted from reference signals in different beam directions, then the relative RSRP prediction accuracy can be equal to the difference between the L1-RSRP predicted from a first reference signal RS0 in the beam direction 0 (predicted L1-RSRP of RS0 from beam direction 0) and the L1-RSRP predicted from a second reference signal RS1 in the beam direction 1 (predicted L1-RSRP of RS1 from beam direction 1), i.e., Relative L1-RSRP prediction accuracy = predicted L1-RSRP of RS0 from beam direction 0 - predicted L1-RSRP of RS1 from beam direction 1.

[0184] In the above embodiments, the first reference signal and the second reference signal may, for example, be CSI-RSs at different times.

[0185] In some embodiments, after determining the relative RSRP prediction accuracy, the network device can compare the relative RSRP prediction accuracy with the relative accuracy requirement Y2, to determine whether the RSRP prediction result is accurate.

[0186] For example, the network device can determine whether the following formula is true: -Y2≤ Relative L1-RSRP prediction accuracy≤ Y2.

[0187] If the formula is established, the network device can determine that the RSRP prediction result is accurate; if the formula is not established, the network device can determine that the RSRP prediction result is inaccurate.

[0188] Y2 in the formula can be equal to Y1 in the above embodiment or not equal to Y1 in the above embodiment, and the present disclosure does not limit this.

[0189] In some embodiments, determining whether the RSRP prediction structure is accurate based on the relative RSRP prediction accuracy can include the following steps:

[0190] Step B1: The TE configures the terminal to measure the L1-RSRP of the reference signal on each beam in the beam set B at time slot n, and the TE will send the reference signal of all beams in the beam set B based on the power P1.

[0191] Step B2: The terminal measures the L1-RSRP of the reference signal on each beam in the beam set B at time slot n, and predicts the best measurement result L1-RSRP of the reference signal on the beam in the beam set A, and determines the index i of the beam corresponding to the best measurement result L1-RSRP, for example, the reference signal CSI-RS#0 corresponding to the best measurement result L1-RSRP, and the index i can be represented by the index of the CSI-RS#0.

[0192] For example, the beams in the set A can be less than the beams in the set B, for example, among the beams measured by the terminal, there are 1 beam in the set A and 7 beams in the set B in every 8 beams.

[0193] It should be noted that the prediction result in the present embodiment can include the L1-RSRP predicted by the model, and can also include the L1-RSRP actually measured by the terminal, therefore, the best measurement result L1-RSRP can be any L1-RSRP in the prediction result, which can be the L1-RSRP predicted by the model or the L1-RSRP actually measured by the terminal. Of course, the prediction result in the present embodiment is only an example, and the prediction result can only include the L1-RSRP predicted by the model, so that the terminal can not have to perform the measurement of the reference signal on the beams in the set B described above.

[0194] Step B3: The terminal reports the L1-RSRP of the CSI-RS#0 and the index of the L1-RSRP to the network device.

[0195] Step B4: The TE configures the terminal to measure the L1-RSRP of the reference signal on each beam in the beam set B at time slot n+K, and the TE will send the reference signal of all beams in the beam set B based on the power P2.

[0196] Step B5: The terminal measures the L1-RSRP of the reference signal on each beam in the beam set B at time slot n, and predicts the best measurement result L1-RSRP of the reference signal on the beam in the beam set A, and determines the index i of the beam corresponding to the best measurement result L1-RSRP, for example, the reference signal CSI-RS#0 corresponding to the best measurement result L1-RSRP, and the index i can be represented by the index of the CSI-RS#0.

[0197] Step B6: The terminal reports the L1-RSRP of the CSI-RS#0 and the index of the L1-RSRP to the network device.

[0198] Step B7: The TE calculates the difference between the L1-RSRP reported in step 3 and the L1-RSRP reported in step 6 (i.e., the relative RSRP prediction accuracy), and determines whether the L1-RSRP prediction result is accurate based on the difference (for example, compares the difference with Y2).

[0199] In some embodiments, the above embodiments for determining the absolute RSRP prediction accuracy and determining the relative RSRP prediction accuracy can be applied to a channel scenario in which the time and spatial distribution characteristics of the channel model remain unchanged over time, and the time and spatial characteristics of the channel change over time, but change very slowly, for example, the terminal is moving, but the moving speed is very slow, for example, the moving speed is 0.1 m / s, 1 m / s, etc.

[0200] The communication method related to the embodiments of the present disclosure can include at least one of steps S201-S202. For example, step S201 can be implemented as an independent embodiment, step S202 can be implemented as an independent embodiment, steps S201+S202 can be implemented as an independent embodiment, but not limited thereto.

[0201] In some embodiments, steps S201 and S202 can be exchanged in order or performed simultaneously.

[0202] In some embodiments, step S201 is optional, and one or more of these steps can be omitted or replaced in different embodiments.

[0203] In some embodiments, step S202 is optional, and one or more of these steps can be omitted or replaced in different embodiments.

[0204] In some embodiments, other optional implementations described before or after the corresponding description of FIG. 2A can be referred to.

[0205] FIG. 2B is an interaction schematic diagram of an information sending method according to an embodiment of the present disclosure.

[0206] As shown in FIG. 2B, the information interaction method can include the following steps:

[0207] In step S203, the test device receives the first indication information sent by the terminal.

[0208] In some embodiments, the first indication information is used to indicate the RSRP prediction result of the first model;

[0209] In step S204, the test device determines whether the RSRP prediction result is accurate.

[0210] In step S205, the test device sends second indication information to the terminal and / or the network device.

[0211] In some embodiments, the second indication information is used to indicate that the RSRP prediction result is accurate or inaccurate.

[0212] As to the manner in which the prediction device determines whether the RSRP prediction result is accurate, it is similar to the manner in which the network device determines whether the RSRP prediction result is accurate in the embodiment shown in FIG. 2A, and thus will not be described here again.

[0213] In some embodiments, the test device can be, for example, a server, a terminal, or a network device.

[0214] When the test device is a terminal, for example, the test device can be terminal #1, which can receive the first indication information sent by terminal #2.

[0215] When the test device is a network device, for example, the test device can be network device #1, which can send the second indication information to network device #2. Network device #1 and network device #2 can be network devices of the same type, for example, both are base stations; or, network device #1 and network device #2 can be network devices of different types, for example, one of network device #1 and network device #2 is a base station, and the other is a core network device.

[0216] In some embodiments, the second indication information is used to indicate the judgment result of the test device on the accuracy of the RSRP prediction result. For example, when the test device determines that the RSRP prediction result is accurate, the second indication information can indicate that the RSRP prediction result is accurate; and when the test device determines that the RSRP prediction result is inaccurate, the second indication information can indicate that the RSRP prediction result is inaccurate.

[0217] In some embodiments, the test device can directly send the second indication information to the terminal, or can send the second indication information to the network device, and the network device can subsequently send the second indication information to the terminal based on implementation.

[0218] According to an embodiment of the present disclosure, the terminal reports the RSRP test result to the test device, and the test device can determine whether the RSRP prediction result is accurate, so as to instruct the terminal to adjust the RSRP determination manner in the case where it is determined that the RSRP prediction result is inaccurate, and then determine the accurate RSRP.

[0219] It should be noted that the present disclosure does not limit the operation after the test device indicates that the RSRP prediction result is inaccurate. For example, if the terminal determines that the RSRP prediction result is inaccurate based on the second indication information of the test device, the terminal can adjust the manner of determining the RSRP, for example, adjust the first model, or determine the RSRP in other manners, for example, not predict the RSRP based on AI, but determine the RSRP by detecting the reference signal.

[0220] In a first aspect, embodiments of the present disclosure provide an information sending method. FIG. 4 is a schematic flowchart of an information sending method according to an embodiment of the present disclosure. The information sending method shown in the present embodiment can be executed by a terminal.

[0221] As shown in FIG. 4, the information sending method can include the following steps:

[0222] In step S401, first indication information is sent to a network device, wherein the first indication information is used to indicate an RSRP prediction result of a first model, and the RSRP prediction result is used for the network device to determine whether the RSRP prediction result is accurate.

[0223] It should be noted that the embodiment shown in FIG. 4 can be independently implemented, or can be implemented in combination with at least one other embodiment of the present disclosure. The specific implementation can be selected as needed, and the present disclosure does not limit it.

[0224] In some embodiments, the RSRP prediction result includes: an RSRP predicted from a reference signal; or an RSRP predicted from a reference signal and an index of a beam corresponding to the reference signal.

[0225] In some embodiments, the RSRP predicted from the reference signal includes one of: one RSRP predicted from one reference signal; or multiple RSRPs predicted from multiple reference signals.

[0226] In some embodiments, the one RSRP is used for the network device to determine whether the RSRP test result is accurate.

[0227] In some embodiments, the one RSRP predicted from the one reference signal includes a first RSRP predicted from a first reference signal; and the index of the beam corresponding to the first reference signal is used for the network device to determine a first transmission power of the first reference signal.

[0228] In some embodiments, the first indication information is further used to indicate a beamforming gain of the terminal; wherein the first RSRP, the first transmit power, and the beamforming gain are used by the network device to determine whether the RSRP prediction result is accurate.

[0229] In some embodiments, the first RSRP, the first transmit power, a maximum value of a beamforming gain specified by a predefined rule, and a minimum value of the beamforming gain specified by the predefined rule are used by the network device to determine whether the RSRP prediction result is accurate.

[0230] In some embodiments, the first RSRP, the first transmit power, a maximum value of a beamforming gain specified by a predefined rule, and an offset of the maximum value specified by the predefined rule are used by the network device to determine whether the RSRP prediction result is accurate.

[0231] In some embodiments, the first indication information is further used to indicate a measurement result of the terminal on the reference signal; wherein the first RSRP and the measurement result are used by the network device to determine whether the RSRP prediction result is accurate.

[0232] In some embodiments, the difference between the multiple RSRPs is used by the network device to determine whether the RSRP test result meets a relative accuracy requirement.

[0233] In some embodiments, the multiple RSRPs include one of the following: multiple RSRPs predicted on reference signals in a same beam direction; and multiple RSRPs predicted on reference signals in different beam directions.

[0234] The first aspect, the optional implementation of the optional embodiments of the first aspect can be seen from the optional implementation of the embodiments shown in FIG. 2A, and the other associated parts in the embodiments related to FIG. 2A, which will not be repeated here.

[0235] In the second aspect, the embodiments of the present disclosure propose an information receiving method. FIG. 5 is a schematic flowchart of an information receiving method according to an embodiment of the present disclosure. The information receiving method shown in the present embodiment can be executed by a network device.

[0236] As shown in FIG. 5, the information receiving method can include the following steps:

[0237] In step S501, first indication information sent by a terminal is received, wherein the first indication information is used to indicate a RSRP prediction result of a first model;

[0238] In step S502, it is determined whether the RSRP prediction result is accurate.

[0239] It should be noted that the embodiment shown in FIG. 5 can be implemented independently, or in combination with at least one other embodiment of the present disclosure. The present disclosure does not limit the selection.

[0240] In some embodiments, the RSRP prediction result includes: an RSRP predicted by a reference signal; or, an RSRP predicted by a reference signal, and an index of a beam corresponding to the reference signal.

[0241] In some embodiments, the RSRP predicted by a reference signal includes one of: one RSRP predicted by one reference signal; or, multiple RSRPs predicted by multiple reference signals.

[0242] In some embodiments, the one RSRP is used by the network device to determine whether the RSRP test result is accurate.

[0243] In some embodiments, the one RSRP predicted by one reference signal includes a first RSRP predicted by a first reference signal; and an index of a beam corresponding to the first reference signal is used by the network device to determine a first transmission power of the first reference signal.

[0244] In some embodiments, the first indication information is further used to indicate a beamforming gain of the terminal; and the determination of whether the RSRP prediction result is accurate includes: determining whether the RSRP prediction result is accurate according to the first RSRP, the first transmission power, and the beamforming gain.

[0245] In some embodiments, the determination of whether the RSRP prediction result is accurate includes: determining whether the RSRP prediction result is accurate according to the first RSRP, the first transmission power, a maximum value of a beamforming gain specified by a predefined rule, and a minimum value of a beamforming gain specified by the predefined rule.

[0246] In some embodiments, the determination of whether the RSRP prediction result is accurate includes: determining whether the RSRP prediction result is accurate according to the first RSRP, the first transmission power, a maximum value of a beamforming gain specified by a predefined rule, and an offset of the maximum value specified by the predefined rule.

[0247] In some embodiments, the first indication information is further used to indicate a measurement result of the terminal on the reference signal; and the determination of whether the RSRP prediction result is accurate includes: determining whether the RSRP prediction result is accurate according to the first RSRP and the measurement result.

[0248] In some embodiments, the determining whether the RSRP prediction result is accurate comprises: determining whether the RSRP test result meets a relative accuracy requirement according to the difference of the plurality of RSRPs.

[0249] In some embodiments, the plurality of RSRPs comprises one of: a plurality of RSRPs predicted for reference signals in a same beam direction; and a plurality of RSRPs predicted for reference signals in different beam directions.

[0250] The optional implementation of the second aspect and the optional embodiments of the second aspect can refer to the optional implementation of the embodiment shown in FIG. 2A and other associated parts in the embodiments related to FIG. 2A, which will not be repeated here.

[0251] In a third aspect, embodiments of the present disclosure provide an information receiving method. FIG. 6 is a schematic flowchart of an information receiving method according to an embodiment of the present disclosure. The information receiving method shown in the present embodiment can be executed by a test device.

[0252] As shown in FIG. 6, the information receiving method can include the following steps:

[0253] In step S601, first indication information sent by a terminal is received, wherein the first indication information is used to indicate an RSRP prediction result of a first model;

[0254] In step S602, it is determined whether the RSRP prediction result is accurate;

[0255] In step S603, second indication information is sent to the terminal and / or a network device, wherein the second indication information is used to indicate that the RSRP prediction result is accurate or inaccurate.

[0256] The optional implementation of the second aspect and the optional embodiments of the second aspect can refer to the optional implementation of the embodiment shown in FIG. 2B and other associated parts in the embodiments related to FIG. 2B, which will not be repeated here.

[0257] In some embodiments, the names of information and the like are not limited to the names described in the embodiments, and the terms of "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codebook", "codeword", "codepoint", "bit", "data", "program", "chip", and the like can be replaced with each other.

[0258] In some embodiments, the terms of "time", "time point", "time", "time position", and the like can be replaced with each other, and the terms of "time length", "time period", "time window", "window", "time", and the like can be replaced with each other.

[0259] In some embodiments, the terms of "frame", "radio frame", "subframe", "slot", "sub-slot", "mini-slot", "symbol", "symbol", "transmission time interval (TTI)", and the like can be replaced with each other.

[0260] In some embodiments, "acquire", "obtain", "get", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be replaced with each other, which can be interpreted as receiving from other subjects, obtaining from protocols, obtaining from higher layers, processing to obtain by itself, and the like.

[0261] In some embodiments, the terms of "send", "transmit", "report", "issue", "transmit", "bidirectional transmission", "send and / or receive", and the like can be replaced with each other.

[0262] Corresponding to the embodiments of the information sending method and the information receiving method described above, the disclosure also provides embodiments of information sending devices and information receiving devices.

[0263] FIG. 7 is a schematic block diagram of an information sending apparatus, according to an embodiment of the present disclosure. For example, the information sending apparatus can be arranged in a terminal. As shown in FIG. 7, the information sending apparatus includes a sending module 701.

[0264] In some embodiments, the sending module is configured to send, to a network device, first indication information, wherein the first indication information is used to indicate an RSRP prediction result of a first model, and the RSRP prediction result is used by the network device to determine whether the RSRP prediction result is accurate.

[0265] In some embodiments, the RSRP prediction result includes: an RSRP predicted from a reference signal; or an RSRP predicted from a reference signal and an index of a beam corresponding to the reference signal.

[0266] In some embodiments, the RSRP predicted from a reference signal includes one of: one RSRP predicted from one reference signal; or multiple RSRPs predicted from multiple reference signals.

[0267] In some embodiments, the one RSRP is used by the network device to determine whether the RSRP prediction result is accurate.

[0268] In some embodiments, the one RSRP predicted from one reference signal includes a first RSRP predicted from a first reference signal; and an index of a beam corresponding to the first reference signal is used by the network device to determine a first transmit power of the first reference signal.

[0269] In some embodiments, the first indication information is further used to indicate a beamforming gain of the terminal; and the first RSRP, the first transmit power, and the beamforming gain are used by the network device to determine whether the RSRP prediction result is accurate.

[0270] In some embodiments, the first RSRP, the first transmit power, a maximum value of a beamforming gain specified by a predefined rule, a minimum value of a beamforming gain specified by the predefined rule, are used by the network device to determine whether the RSRP prediction result is accurate.

[0271] In some embodiments, the first RSRP, the first transmit power, a maximum value of a beamforming gain specified by a predefined rule, an offset of the maximum value specified by the predefined rule, are used by the network device to determine whether the RSRP prediction result is accurate.

[0272] In some embodiments, the first indication information is further used to indicate a measurement result of the terminal on the reference signal; wherein the first RSRP and the measurement result are used by the network device to determine whether the RSRP prediction result is accurate.

[0273] In some embodiments, the difference of the plurality of RSRPs is used by the network device to determine whether the RSRP test result meets a relative accuracy requirement.

[0274] In some embodiments, the plurality of RSRPs comprises one of: a plurality of RSRPs predicted on reference signals in a same beam direction; and a plurality of RSRPs predicted on reference signals in different beam directions.

[0275] FIG. 8 is a schematic block diagram of an information receiving apparatus according to an embodiment of the present disclosure. The information receiving apparatus may, for example, be provided in a network device. As shown in FIG. 8, the information receiving apparatus comprises a receiving module 801 and a processing module 802.

[0276] In some embodiments, the receiving module is configured to receive first indication information sent by a terminal, wherein the first indication information is used to indicate a RSRP prediction result of a first model; and the processing module is configured to determine whether the RSRP prediction result is accurate.

[0277] In some embodiments, the RSRP prediction result comprises: a RSRP predicted on a reference signal; or a RSRP predicted on a reference signal and an index of a corresponding beam of the reference signal.

[0278] In some embodiments, the RSRP predicted on a reference signal comprises one of: one RSRP predicted on one reference signal; or a plurality of RSRPs predicted on a plurality of reference signals.

[0279] In some embodiments, the one RSRP is used by the network device to determine whether the RSRP test result is accurate.

[0280] In some embodiments, the one RSRP predicted on one reference signal comprises a first RSRP predicted on a first reference signal; and an index of a corresponding beam of the first reference signal is used by the network device to determine a first transmit power of the first reference signal.

[0281] In some embodiments, the first indication information is further used to indicate a beamforming gain of the terminal; and the processing module is configured to determine whether the RSRP prediction result is accurate according to the first RSRP, the first transmit power and the beamforming gain.

[0282] In some embodiments, the processing module is configured to determine whether the RSRP prediction result is accurate according to the first RSRP, the first transmit power, a maximum value of beamforming gain specified by a predefined rule, and an offset of the maximum value specified by the predefined rule.

[0283] In some embodiments, the processing module is configured to determine whether the RSRP prediction result is accurate according to the first RSRP, the first transmit power, a maximum value of beamforming gain specified by a predefined rule, and an offset of the maximum value specified by the predefined rule.

[0284] In some embodiments, the first indication information is further used to indicate a measurement result of the reference signal by the terminal; and the processing module is configured to determine whether the RSRP prediction result is accurate according to the first RSRP and the measurement result.

[0285] In some embodiments, the processing module is configured to determine whether the RSRP test result meets a relative accuracy requirement according to a difference between the multiple RSRPs.

[0286] In some embodiments, the multiple RSRPs include one of the following: multiple RSRPs predicted for reference signals in a same beam direction; and multiple RSRPs predicted for reference signals in different beam directions.

[0287] FIG. 9 is a schematic block diagram of an information receiving apparatus according to an embodiment of the present disclosure. The information receiving apparatus may, for example, be provided in a test device. As shown in FIG. 9, the information receiving apparatus includes a receiving module 901, a processing module 902, and a sending module 903.

[0288] In some embodiments, the receiving module is configured to receive first indication information sent by a terminal, where the first indication information is used to indicate an RSRP prediction result of a first model; the processing module is configured to determine whether the RSRP prediction result is accurate; and the sending module is configured to send second indication information to the terminal and / or a network device, where the second indication information is used to indicate that the RSRP prediction result is accurate or inaccurate.

[0289] For the apparatus embodiment, since it basically corresponds to the method embodiment, the relevant part can be seen from the part of the method embodiment. The apparatus embodiment described above is only illustrative, wherein the modules described as separate components can or can not be physically separated, and the components displayed as modules can or can not be physical modules, that is, can be located in one place or distributed to multiple network modules. Part or all of the modules can be selected to achieve the purpose of the embodiment according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0290] The embodiments of the present disclosure also propose a device for implementing any of the above methods, for example, a device comprising units or modules for implementing each step performed by the terminal in any of the above methods. For another example, another device is also proposed, comprising units or modules for implementing each step performed by the network equipment (such as access network equipment, core network function node, core network equipment, etc.) in any of the above methods.

[0291] It should be understood that the division of each unit or module in the above apparatus is only a logical function division, and all or part of them can be integrated into a physical entity or physically separated in actual implementation. In addition, the units or modules in the apparatus can be implemented in the form of processor calling software: for example, the apparatus includes a processor, the processor is connected with a memory, the memory stores instructions, and the processor calls the instructions stored in the memory to realize the functions of any of the above methods or the units or modules of the above apparatus, wherein the processor is a general processor such as a central processing unit (CPU) or a microprocessor, and the memory is a memory in the apparatus or a memory outside the apparatus. Alternatively, the units or modules in the apparatus can be implemented in the form of hardware circuit, and the functions of part or all of the units or modules can be realized by the design of the hardware circuit. The above hardware circuit can be understood as one or more processors; for example, in one implementation, the above hardware circuit is an application-specific integrated circuit (ASIC), and the functions of part or all of the units or modules are realized by the design of the logical relationship between the elements in the circuit; for another example, in another implementation, the above hardware circuit is a programmable logic device (PLD), and a field programmable gate array (FPGA) is taken as an example, which can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by a configuration file, so as to realize the functions of part or all of the units or modules. All units or modules of the above apparatus can be all implemented in the form of processor calling software, or all implemented in the form of hardware circuit, or part implemented in the form of processor calling software and the remaining part implemented in the form of hardware circuit.

[0292] In the embodiments of the present disclosure, the processor is a circuit with signal processing capability. In one implementation, the processor can be a circuit with instruction reading and running capability, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), a digital signal processor (DSP), and the like. In another implementation, the processor can implement certain functions through a logical relationship of a hardware circuit, and the logical relationship of the 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 the reconfigurable hardware circuit, the processor loads a configuration document to implement the configuration of the hardware circuit. It can be understood that the processor loads instructions to implement the functions of the above part or all units or modules. In addition, the hardware circuit can also be 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), and the like.

[0293] FIG. 10A is a structural schematic diagram of a communication device 10100 according to an embodiment of the present disclosure. The communication device 10100 can be a network device (for example, an access network device, a core network device, and the like), or a terminal (for example, a user equipment, and the like), or a chip, a chip system, or a processor supporting the network device to implement any of the above methods, or a chip, a chip system, or a processor supporting the terminal to implement any of the above methods. The communication device 10100 can be used to implement the methods described in the above method embodiments, and details can be referred to the descriptions in the above method embodiments.

[0294] As shown in FIG. 10A, the communication device 10100 includes one or more processors 10101. The processor 10101 can be a general processor or a special-purpose processor, etc., for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, the central processing unit can be used to control a communication apparatus (e.g., a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process data of the programs. Optionally, the communication device 10100 is configured to perform any of the above methods. Optionally, the one or more processors 10101 are configured to invoke instructions to cause the communication device 10100 to perform any of the above methods.

[0295] In some embodiments, the communication device 10100 further includes one or more transceivers 10102. When the communication device 10100 includes one or more transceivers 10102, the transceiver 10102 performs at least one of the communication steps (e.g., steps S201, S202, but not limited to) in the above methods, and the processor 10101 performs at least one of the other steps (e.g., steps S201, S202, but not limited to). In optional embodiments, the transceiver can include a receiver and / or a transmitter, which can be separate or integrated together. Optionally, the terms transceiver, transceiving unit, transceiver, transceiving circuit, interface circuit, interface, etc. can be replaced with each other, and the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc. can be replaced with each other, and the terms receiver, receiving unit, receiver, receiving circuit, etc. can be replaced with each other.

[0296] In some embodiments, the communication device 10100 further includes one or more memories 10103 for storing data. Optionally, all or part of the memory 10103 can also be outside the communication device 10100. In optional embodiments, the communication device 10100 can include one or more interface circuits 10104. Optionally, the interface circuit 10104 is connected to the memory 10102, and the interface circuit 10104 can be used to receive data from the memory 10102 or other devices, and can be used to send data to the memory 10102 or other devices. For example, the interface circuit 10104 can read data stored in the memory 10102 and send the data to the processor 10101.

[0297] The communication device 10100 described in the above embodiments can be a network device or a terminal, but the range of the communication device 10100 described in the present disclosure is not limited thereto, and the structure of the communication device 10100 can not be limited by FIG. 10A. The communication device can be a standalone device or can be a part of a larger device. For example, the communication device can be: 1) a standalone integrated circuit (IC), or a chip, or a chip system or subsystem; (2) a set of one or more ICs, which can optionally also include storage components for storing data, programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, a smart terminal device, a cellular phone, a wireless device, a handset, a mobile unit, a vehicle-mounted device, a network device, a cloud device, an artificial intelligence device, and the like; (6) other devices, and the like.

[0298] FIG. 10B is a structural schematic diagram of a chip 10200 according to an embodiment of the present disclosure. For the case where the communication device 10100 is a chip or a chip system, the structural schematic diagram of the chip 10200 shown in FIG. 10B can be referred to, but is not limited thereto.

[0299] The chip 10200 includes one or more processors 10201. The chip 10200 is configured to perform any of the above methods.

[0300] In some embodiments, the chip 10200 further includes one or more interface circuits 10202. Optionally, the terms interface circuit, interface, transceiver pin, and the like can be replaced with each other. In some embodiments, the chip 10200 further includes one or more memories 10203 for storing data. Optionally, all or part of the memory 10203 can be outside the chip 10200. Optionally, the interface circuit 10202 is connected with the memory 10203, and the interface circuit 10202 can be configured to receive data from the memory 10203 or other devices, and the interface circuit 10202 can be configured to send data to the memory 10203 or other devices. For example, the interface circuit 10202 can read data stored in the memory 10203 and send the data to the processor 10201.

[0301] In some embodiments, the interface circuit 10202 performs at least one of the communication steps (such as steps S201, S202, but not limited thereto) of transmitting and / or receiving in the above methods. The interface circuit 10202 performing the communication steps such as transmitting and / or receiving in the above methods means that the interface circuit 10202 performs data interaction between the processor 10201, the chip 10200, the memory 10203, or a transceiver device. In some embodiments, the processor 10201 performs at least one of the other steps (such as steps S201, S202, but not limited thereto).

[0302] The modules and / or devices described in various embodiments of the virtual device, physical device, chip, etc. can be combined or separated according to actual needs. Optionally, part or all of the steps can also be executed by a plurality of modules and / or devices in cooperation, which is not limited here.

[0303] The disclosure further proposes a storage medium, and the storage medium stores instructions, which, when executed on the communication device 10100, causes the communication device 10100 to perform any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer readable storage medium, but is not limited to this, and it can also be a storage medium readable by other devices. Optionally, the storage medium can be a non-transitory storage medium, but is not limited to this, and it can also be a transitory storage medium.

[0304] The disclosure further proposes a program product, which, when executed by the communication device 10100, causes the communication device 10100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0305] The disclosure further proposes a computer program, which, when executed on a computer, causes the computer to perform any of the above methods.

Claims

1. A method for sending information, characterized in that: Executed by a terminal, the method includes: First indication information is sent to the network device, wherein the first indication information is used to indicate an RSRP prediction result of the first model, and the RSRP prediction result is used by the network device to determine whether the RSRP prediction result is accurate.

2. The method according to claim 1, characterized in that The RSRP prediction results include: RSRP predicted from the reference signal; or The RSRP predicted for the reference signal and the index of the beam corresponding to the reference signal.

3. The method according to claim 2, characterized in that The RSRP obtained by predicting the reference signal includes one of the following: An RSRP predicted for a reference signal; or Multiple RSRPs predicted from multiple reference signals.

4. The method according to claim 3, characterized in that The RSRP is used by the network device to determine whether the RSRP test result is accurate.

5. The method according to claim 3 or 4, characterized in that The RSRP predicted from a reference signal includes a first RSRP predicted from a first reference signal; The index of the beam corresponding to the first reference signal is used by the network device to determine the first transmit power of the first reference signal.

6. The method according to claim 5, characterized in that The first indication information is further used to indicate the beamforming gain of the terminal; The first RSRP, the first transmit power, and the beamforming gain are used by the network device to determine whether the RSRP prediction result is accurate.

7. The method according to claim 5, characterized in that The first RSRP, the first transmit power, the maximum value of the beamforming gain specified by the predefined rule, and the minimum value of the beamforming gain specified by the predefined rule are used by the network device to determine whether the RSRP prediction result is accurate.

8. The method according to claim 5, characterized in that The first RSRP, the first transmit power, the maximum value of the beamforming gain specified by the predefined rule, and the offset of the maximum value specified by the predefined rule are used by the network device to determine whether the RSRP prediction result is accurate.

9. The method according to claim 4, characterized in that The first indication information is further used to indicate a measurement result of the reference signal by the terminal; The first RSRP and the measurement result are used by the network device to determine whether the RSRP prediction result is accurate.

10. The method according to claim 3, characterized in that The difference between the multiple RSRP values ​​is used by the network device to determine whether the RSRP test result meets the relative accuracy requirement.

11. The method according to claim 3 or 10, characterized in that The multiple RSRPs include one of the following: Multiple RSRPs predicted for the reference signal in the same beam direction; Multiple RSRPs are obtained by predicting reference signals in different beam directions.

12. A method for receiving information, characterized in that: Executed by a network device, the method includes: Receiving first indication information sent by a terminal, wherein the first indication information is used to indicate an RSRP prediction result of a first model; Determine whether the RSRP prediction result is accurate.

13. The method according to claim 12, characterized in that The RSRP prediction results include: RSRP predicted from the reference signal; or The RSRP predicted for the reference signal and the index of the beam corresponding to the reference signal.

14. The method according to claim 13, characterized in that The RSRP obtained by predicting the reference signal includes one of the following: An RSRP predicted for a reference signal; or Multiple RSRPs predicted from multiple reference signals.

15. The method according to claim 14, characterized in that The RSRP is used by the network device to determine whether the RSRP test result is accurate.

16. The method according to claim 14 or 15, characterized in that The RSRP predicted from a reference signal includes a first RSRP predicted from a first reference signal; The index of the beam corresponding to the first reference signal is used by the network device to determine the first transmit power of the first reference signal.

17. The method according to claim 16, characterized in that The first indication information is further used to indicate the beamforming gain of the terminal; Wherein, determining whether the RSRP prediction result is accurate includes: Determine whether the RSRP prediction result is accurate according to the first RSRP, the first transmit power, and the beamforming gain.

18. The method according to claim 16, characterized in that Determining whether the RSRP prediction result is accurate includes: Determine whether the RSRP prediction result is accurate according to the first RSRP, the first transmit power, a maximum value of the beamforming gain specified by a predefined rule, and a minimum value of the beamforming gain specified by a predefined rule.

19. The method according to claim 16, wherein Determining whether the RSRP prediction result is accurate includes: Determine whether the RSRP prediction result is accurate according to the first RSRP, the first transmit power, a maximum value of the beamforming gain specified by a predefined rule, and an offset of the maximum value specified by the predefined rule.

20. The method according to claim 15, wherein The first indication information is further used to indicate a measurement result of the reference signal by the terminal; Wherein, determining whether the RSRP prediction result is accurate includes: Determining whether the RSRP prediction result is accurate according to the first RSRP and the measurement result.

21. The method according to claim 14, wherein Determining whether the RSRP prediction result is accurate includes: Determine whether the RSRP test result meets the relative accuracy requirement according to the difference between the multiple RSRPs.

22. The method according to claim 14 or 21, characterized in that The multiple RSRPs include one of the following: Multiple RSRPs predicted for the reference signal in the same beam direction; Multiple RSRPs are obtained by predicting reference signals in different beam directions.

23. A method for sending information, characterized in that: Executed by a test device, the method includes: Receiving first indication information sent by a terminal, wherein the first indication information is used to indicate an RSRP prediction result of a first model; Determine whether the RSRP prediction result is accurate; Sending second indication information to the terminal and / or network device, wherein the second indication information is used to indicate whether the RSRP prediction result is accurate or inaccurate.

24. An information sending device, characterized in that: The device comprises: The sending module is configured to send first indication information to the network device, wherein the first indication information is used to indicate the RSRP prediction result of the first model, and the RSRP prediction result is used by the network device to determine whether the RSRP prediction result is accurate.

25. An information receiving device, characterized in that: The device comprises: A receiving module is configured to receive first indication information sent by a terminal, wherein the first indication information is used to indicate an RSRP prediction result of a first model; The processing module is configured to determine whether the RSRP prediction result is accurate.

26. An information receiving device, characterized in that: The device comprises: A receiving module is configured to receive first indication information sent by a terminal, wherein the first indication information is used to indicate an RSRP prediction result of a first model; a processing module, configured to determine whether the RSRP prediction result is accurate; The sending module is configured to send second indication information to the terminal and / or network device, wherein the second indication information is used to indicate whether the RSRP prediction result is accurate or inaccurate.

27. A terminal, characterized in that: include: one or more processors; The terminal is configured to execute the information sending method according to any one of claims 1 to 11.

28. A network device, characterized in that: include: one or more processors; The network device is used to execute the information receiving method according to any one of claims 12 to 22.

29. A testing device, characterized in that: include: one or more processors; Wherein, the network device is used to execute the information receiving method described in claim 23.

30. A communication system, characterized in that: The invention comprises a terminal and a network device, wherein the terminal is configured to implement the information sending method according to any one of claims 1 to 11, and the network device is configured to implement the information receiving method according to any one of claims 12 to 23.

31. A storage medium storing instructions, characterized in that: When the instruction is executed on the communication device, the communication device executes the information sending method according to any one of claims 1 to 11, and / or the information receiving method according to any one of claims 12 to 23.

32. A program product, characterized in that When the program product is executed by a communication device, the communication device executes the information sending method according to any one of claims 1 to 11 and / or the information receiving method according to any one of claims 12 to 23.

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