Transmission condition determining method and apparatus, communication device, and storage medium

Abstract

The present disclosure relates to the technical field of communications, and in particular to a transmission condition determining method and apparatus, a communication device, and a storage medium. The transmission condition determining method comprises: determining probability distribution information of different differences under at least one value of an affecting factor, wherein the differences comprise a difference between a preset ideal value for a pending measurement and a measured value; determining a first value of the affecting factor on the basis of a first probability range and a first threshold, wherein the at least one value of the affecting factor comprises the first value of the affecting factor; and on the basis of the first value of the affecting factor, determining a first transmission condition of a reference signal corresponding to the pending measurement. On the basis of the present disclosure, because the difference between the measured value and an actual ideal value is relatively small, a testing device can more accurately evaluate the prediction performance of an AImodel by treating the measured value as the actual ideal value.

Description

Method, apparatus, and storage medium for determining transmission condition TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of communication, and in particular, to a method and apparatus for determining transmission condition, a communication device, and a storage medium. BACKGROUND

[0002] With the development of communication technology, the communication mode between network equipment and terminals has also been updated. For example, network equipment can communicate with terminals through beams. Beam management is required for beams, for example, to determine a suitable beam for communication from multiple beams.

[0003] With the introduction of artificial intelligence (AI) in communication systems, AI based beam management can be implemented for beam management. However, there are still some technical problems to be solved in the implementation of AI based beam management.

[0004] SUMMARY

[0005] Embodiments of the present disclosure provide a method and apparatus for determining transmission condition, a communication device, and a storage medium to solve the technical problems in the related art.

[0006] According to a first aspect of embodiments of the present disclosure, a method for determining transmission condition is provided, including: determining probability distribution information of different difference values under at least one value of an influencing factor, wherein the difference value includes a difference between a preset ideal value and a measured value of a to-be-measured value; determining a first value of the influencing factor based on a first probability range and a first threshold, the at least one value of the influencing factor including the first value of the influencing factor; and determining a first transmission condition of a reference signal corresponding to the to-be-measured value according to the first value of the influencing factor.

[0007] According to a second aspect of embodiments of the present disclosure, an apparatus for determining transmission condition is provided, including: a processing module configured to determine probability distribution information of different difference values under at least one value of an influencing factor, wherein the difference value includes a difference between a preset ideal value and a measured value of a to-be-measured value; determine a first value of the influencing factor based on a first probability range and a first threshold, the at least one value of the influencing factor including the first value of the influencing factor; and determine a first transmission condition of a reference signal corresponding to the to-be-measured value according to the first value of the influencing factor.

[0008] According to a third aspect of embodiments of the present disclosure, a communication device is provided, including: one or more processors; and wherein the terminal is configured to execute the method of the first aspect.

[0009] According to a fourth aspect of the embodiments of the present disclosure, a storage medium is provided, which stores instructions, and when the instructions are executed on a communication device, the communication device is caused to perform the method of the first aspect.

[0010] According to a fifth aspect of the embodiments of the present disclosure, a program product is provided, which, when executed by a communication device, causes the communication device to perform the method of the first aspect.

[0011] According to an embodiment of the present disclosure, based on the value of the determined influencing factor, there is a relatively large probability (for example, 80%) that the absolute value of the difference between the preset ideal value to be measured and the measured value is relatively small (for example, less than a first threshold value), and on this basis, the test device is beneficial to ensure that the difference between the measured value obtained by measuring the terminal and the actual ideal value is relatively small in the case of transmitting the reference signal by taking the value of the determined influencing factor as the first transmission condition.

[0012] And the actual ideal value is used by the test device to determine whether the prediction result is accurate. Therefore, based on the embodiments of the present disclosure, since the difference between the measured value and the actual ideal value is relatively small, the test device can more accurately evaluate the prediction performance of the AI model by taking the measured value as the actual ideal value. BRIEF DESCRIPTION OF DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings needed in the embodiment description 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 creative labor based on these drawings.

[0014] FIG. 1A is a schematic architecture diagram of a communication system according to an embodiment of the present disclosure.

[0015] FIG. 1B is a schematic flowchart of an artificial intelligence-based beam management according to an embodiment of the present disclosure.

[0016] FIG. 2 is an interaction schematic diagram of a transmission condition determination method according to an embodiment of the present disclosure.

[0017] FIG. 3A is a schematic diagram of probability distribution information according to an embodiment of the present disclosure.

[0018] FIG. 3B is a schematic diagram of another probability distribution information according to an embodiment of the present disclosure.

[0019] FIG. 3C is a schematic diagram of yet another probability distribution information according to an embodiment of the present disclosure.

[0020] FIG. 3D is a schematic diagram of yet another probability distribution information, according to an embodiment of the present disclosure.

[0021] FIG. 4 is a schematic flowchart of a sending condition determination method, according to an embodiment of the present disclosure.

[0022] FIG. 5 is a schematic block diagram of a sending condition determination apparatus, according to an embodiment of the present disclosure.

[0023] FIG. 6A is a schematic diagram of a structure of a communication device, according to an embodiment of the present disclosure.

[0024] FIG. 6B is a schematic diagram of a structure of a chip, according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0025] Embodiments of the present disclosure provide a sending condition determination method, apparatus, communication device, and storage medium.

[0026] In a first aspect, embodiments of the present disclosure provide a sending condition determination method, comprising: determining probability distribution information of different difference values under at least one value of an influencing factor, wherein the difference value comprises a difference value between a preset ideal value of a to-be-measured quantity and a measured value; determining a first value of the influencing factor based on a first probability range and a first threshold value, the at least one value of the influencing factor comprising the first value of the influencing factor; and determining a first sending condition of a reference signal corresponding to the to-be-measured quantity according to the first value of the influencing factor.

[0027] In the above embodiment, based on the determined value of the influencing factor, there is a relatively large probability (for example, 80%) that the absolute value of the difference between the preset ideal value of the to-be-measured quantity and the measured value is relatively small (for example, less than the first threshold value). On this basis, the test device is beneficial to ensure that the difference between the measured value obtained by the terminal measuring the to-be-measured quantity and the actual ideal value is relatively small in the case of sending the reference signal with the determined value of the influencing factor as the first sending condition.

[0028] The actual ideal value is used by the test device to determine whether the prediction result is accurate. Therefore, based on the embodiments of the present disclosure, since the difference between the measured value and the actual ideal value is relatively small, the test device can more accurately evaluate the prediction performance of the AI model by taking the measured value as the actual ideal value.

[0029] In combination with some embodiments of the first aspect. In some embodiments, the influencing factor comprises at least one of the following: a signal-to-noise ratio; a Doppler frequency; a time interval; a channel model; a sequence number of the reference signal; and a frequency domain density of the reference signal.

[0030] In some embodiments of the first aspect. In some embodiments, the value of the signal-to-noise ratio is negatively correlated with the absolute value of the difference; and / or, the Doppler frequency is positively correlated with the absolute value of the difference; and / or, the time interval is positively correlated with the absolute value of the difference.

[0031] In some embodiments of the first aspect. In some embodiments, the time interval is a time interval between a first time period and a second time period; wherein, in the first time period, the test device transmits the reference signal through a beam in a first beam set under a second transmission condition, the terminal measures the reference signal carried by the beam in the first beam set, predicts a first beam in a second beam set according to the measurement result, and sends the prediction result to the test device, the first beam set being a subset of the second beam set; and / or, in the second time period, the test device transmits the reference signal through a beam in the second beam set under the first transmission condition, the terminal measures the reference signal carried by the beam in the second beam set to determine a measurement value corresponding to the to-be-measured quantity, and sends the measurement value as an actual ideal value to the test device.

[0032] In some embodiments of the first aspect. In some embodiments, the actual ideal value is used by the test device to determine whether the prediction result is accurate.

[0033] In some embodiments of the first aspect. In some embodiments, the sending of the measurement value as an actual ideal value to the test device comprises determining the actual ideal value according to the additional information of the to-be-measured quantity and the measurement value.

[0034] In some embodiments of the first aspect. In some embodiments, the additional information comprises at least one of: a radio frequency implementation margin; a measurement error; a time-varying value.

[0035] In some embodiments of the first aspect. In some embodiments, the influencing factor comprises a signal-to-noise ratio, wherein, in the case that the signal-to-noise ratio is greater than a signal-to-noise ratio threshold, the additional information does not comprise the measurement error; and / or, the influencing factor comprises a Doppler frequency, wherein, in the case that the Doppler frequency is less than a frequency threshold, the additional information does not comprise a time-varying value of the measurement value.

[0036] In some embodiments of the first aspect. In some embodiments, the radio frequency implementation margin is a predefined value; and / or, the measurement error is determined based on a maximum value of the absolute value of the difference within a first probability range; and / or, the time-varying value is determined based on a maximum value of the absolute value of the difference within a first probability range.

[0037] In a second aspect, embodiments of the present disclosure provide a sending condition determination apparatus, comprising: a processing module configured to determine probability distribution information of different difference values under at least one value of an influencing factor, wherein the difference value comprises a difference between a preset ideal value to be measured and a measured value; determine a first value of the influencing factor based on a first probability range and a first threshold, the at least one value of the influencing factor comprising the first value of the influencing factor; and determine a first sending condition of a corresponding reference signal of the to-be-measured based on the first value of the influencing factor.

[0038] In a third aspect, embodiments of the present disclosure provide a communication device, comprising: one or more processors; wherein the terminal is configured to execute the method of the first aspect or any one of the optional embodiments of the first aspect.

[0039] In a fourth aspect, embodiments of the present disclosure provide a storage medium, which stores instructions, when the instructions are executed on a communication device, the communication device executes the method of the first aspect or any one of the optional embodiments of the first aspect.

[0040] In a fifth aspect, embodiments of the present disclosure provide a program product, when the program product is executed by a communication device, the communication device executes the method of the first aspect or any one of the optional embodiments of the first aspect.

[0041] In a sixth aspect, embodiments of the present disclosure provide a computer program, when the computer program is executed on a computer, the computer executes the method of the first aspect or any one of the optional embodiments of the first aspect.

[0042] It can be understood that the above sending condition determination apparatus, communication device, communication system, storage medium, program product, and computer program are used to execute the method provided by the embodiments of the present disclosure. Therefore, the beneficial effects achieved thereby can refer to the beneficial effects in the corresponding method, which will not be described here.

[0043] Embodiments of the present disclosure provide a sending condition determination method, apparatus, communication device, and storage medium. In some embodiments, the terms of the sending condition determination method and information processing method, communication method, etc. can be replaced with each other, the terms of the sending condition determination apparatus and information processing apparatus, communication apparatus, etc. can be replaced with each other, and the terms of the information processing system and communication system can be replaced with each other.

[0044] 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.

[0045] 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.

[0046] 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.

[0047] 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.

[0048] 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.

[0049] In the embodiments of the present disclosure, "a plurality of" means two or more.

[0050] 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.

[0051] In some embodiments, the notation "at least one of A and B", "A and / or B", "A in one case, B in another", "in response to one case A, in response to another case B", etc., may include the following technical solutions depending on the situation: in some embodiments, A (execute A regardless of B); in some embodiments, B (execute B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, A and B (both A and B are executed). The same applies when there are more branches such as A, B, C, etc.

[0052] In some embodiments, the notation "A or B" may include the following technical solutions, depending on the situation: in some embodiments, A (execution of A regardless of B); in some embodiments, B (execution of B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The same applies when there are more branches such as A, B, C, etc.

[0053] The prefixes such as "first" and "second" in the embodiments of this disclosure are only for distinguishing different descriptive objects and do not constitute restrictions on the position, order, priority, number or content of the descriptive objects. For the description of the descriptive objects, please refer to the description in the claims or the context of the embodiments. The use of prefixes should not constitute unnecessary restrictions.

[0054] For example, if the descriptive object is "field," then the ordinal numbers preceding "field" in "first field" and "second field" do not restrict the position or order of the "fields." "First" and "second" do not restrict whether the "fields" they modify are in the same message, nor do they restrict the order of "first field" and "second field." Similarly, if the descriptive object is "level," then the ordinal numbers preceding "level" in "first level" and "second level" do not restrict the priority between "levels." Furthermore, the number of descriptive objects is not limited by ordinal numbers; there can be one or more. For example, in "first device," the number of "devices" can be one or more. In addition, objects modified by different prefixes can be the same or different. For example, if the descriptive object is "device," then "first device" and "second device" can be the same device or different devices, and their types can be the same or different. Similarly, if the descriptive object is "information," then "first information" and "second information" can be the same information or different information, and their content can be the same or different.

[0055] In some embodiments, “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0056] In some embodiments, the terms “in response to,” “in response to determining,” “in the event that,” “when,” “if,” “upon,” and the like can be replaced with each other.

[0057] 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,” and the like 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,” and the like can be replaced with each other.

[0058] In some embodiments, an apparatus and the like can be interpreted as an entity, and can also be interpreted as virtual, and the name thereof is not limited to the name described in the embodiments, and the terms “apparatus,” “equipment,” “device,” “circuit,” “network element,” “node,” “function,” “unit,” “section,” “system,” “network,” “chip,” “chip system,” “entity,” “subject,” and the like can be replaced with each other.

[0059] In some embodiments, “network” can be interpreted as an apparatus (for example, an access network device, a core network device, and the like) included in the network.

[0060] 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.

[0061] 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.

[0062] 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.

[0063] 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.

[0064] 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.

[0065] In some embodiments, the data, information, etc. can be obtained after obtaining the consent of the user.

[0066] 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.

[0067] FIG. 1A is a schematic diagram of an architecture of a communication system according to an embodiment of the present disclosure.

[0068] As shown in FIG. 1, the communication system 100 includes a terminal 101 and a test device 102, where the test device can be another terminal or can be a network device including at least one of an access network device, a core network device.

[0069] In some embodiments, the terminal 101 includes at least one of a mobile phone, a wearable device, an Internet of Things device, a communication-capable car, 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., but is not limited thereto.

[0070] 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.

[0071] 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).

[0072] 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.

[0073] 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.

[0074] 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.

[0075] The following embodiments of the present disclosure can be applied to the communication system 100 shown in FIG. 1A or part of the subject, but are not limited thereto. The subjects shown in FIG. 1A are exemplary, and the communication system can include all or part of the subjects in FIG. 1A, or other subjects other than FIG. 1A. The number and form of each subject is arbitrary, each subject can be physical 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.

[0076] 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 on them, and the like. In addition, a plurality of systems can be combined (for example, combination of LTE or LTE-A and 5G, and the like).

[0077] In some embodiments, in conventional beam management, the terminal needs to measure the beam, for example, by measuring the reference signal in the beam, to determine the reference signal receiving power (RSRP) corresponding to the beam, and then the measurement result can be reported to the network device.

[0078] In some embodiments, for AI based beam management, an AI model can be configured in a terminal, which can be trained based on machine learning, deep learning, etc. The present disclosure does not limit this. The AI model can be used to predict the measurement results of beams, for example, to predict the RSRP obtained by measuring the reference signal of a beam.

[0079] In some embodiments, for traditional beam management, after determining the measurement results, the terminal can report the measurement results to the network device. For AI based beam management, after determining the predicted measurement results, the terminal reports the measurement results to the network device, and the network device needs to evaluate the prediction performance of the AI model, for example, by comparing the predicted measurement value with the actual ideal value.

[0080] In some embodiments, for example in a test scenario, a terminal (which can be denoted as UE) can perform AI based beam management on the beams emitted by a test device (which can be denoted as TE).

[0081] FIG. IB is a schematic flowchart of AI based beam management according to an embodiment of the present disclosure.

[0082] As shown in FIG. IB, for example in a test environment, the test device can include a network device, or other terminals.

[0083] In step 101, the test device can configure the terminal to report the RSRP measurement results (which can also be referred to as measurement reports) of the beams in set A at time T0.

[0084] In step 102, at time T1, the test device sends one or more reference signals through the beams in set B under some conditions.

[0085] Wherein, set A can include multiple beams, set B can include multiple beams, and set A can be a subset of set B.

[0086] For example, the conditions can include several factors: signal to interference plus noise ratio (SNR), Doppler frequency, which can be determined based on the moving speed v of the terminal and the wavelength λ of the reference signal, for example, Doppler frequency = 2v / λ.

[0087] For example, in step 102, the signal to interference plus noise ratio in the conditions can be denoted as X1 (unit: dB), and the Doppler frequency can be denoted as X2 (unit: Hz).

[0088] In step 103, the terminal measures the RSRP of the reference signal carried by the beams in set B, for example, the measured RSRP can be layer 1 (L1) RSRP.

[0089] In step 104, the terminal predicts the best beam in set A according to the AI model, for example, the prediction result can include the index of the best transmission beam.

[0090] In step 105, the terminal reports the prediction result in step 104 to the test device at time T2.

[0091] Wherein, the time interval between T1 and T2 can be called the first period, for example, denoted as Time duration 1.

[0092] In step 106, at time T3, the test device sends one or more reference signals through the beams in set A under some conditions to determine the ideal RSRP. Wherein, ideal can be translated as ideal, also can be translated as ground truth, the present disclosure does not limit this.

[0093] Wherein, the ideal RSPR is used by the test device to evaluate the prediction performance of the AI model in the terminal, and relevant examples can be referred to in subsequent step 109.

[0094] For example, in step 106, the signal-to-noise ratio in the condition can be denoted as Y1 (unit: dB), and the Doppler frequency can be denoted as Y2 (unit: Hz).

[0095] In step 107, the terminal measures the RSRP of the reference signal carried by the beams in set A, for example, the measured RSRP can be layer 1 (L1) RSRP.

[0096] In step 108, the terminal reports the measurement result in step 107 to the test device at time T4.

[0097] Wherein, the time interval between T3 and T4 can be called the second period, for example, denoted as Time duration 2.

[0098] In step 109, the test device can take the measurement result reported by the terminal as the ideal RSRP, and then determine the best beam in set A according to the ideal RSRP of each beam in set A, for example, the beam with the largest ideal RSRP is taken as the best beam. Then determine whether the best beam determined by the test device is the same as the best beam predicted by the terminal through the AI model, and determine the prediction performance of the AI model according to the determination result, for example, in the case of same, it can be determined that the prediction performance of the AI model meets the requirements, in the case of not same, it can be determined that the prediction performance of the AI model does not meet the requirements

[0099] It can be seen that in the above embodiment, the test device takes the L1-RSRP measured by the terminal in the second time period as the ideal RSRP. The test device needs to take the L1-RSRP measured by the terminal in the second time period as the ideal RSRP because the test device cannot directly determine the ideal RSRP for some reasons.

[0100] In some embodiments, taking the scenario of a multipath channel as an example, the ideal RSRP will depend on many factors, including at least one of the following:

[0101] Channel spatial domain information, such as AOA, DOA, ZOA, DOA, and multipath power, etc., wherein AOA refers to the angle of arrival in the azimuth angle, AOD refers to the angle of departure in the azimuth angle, ZOA refers to the angle of arrival in the zenith angle, and ZOD refers to the angle of departure in the zenith angle;

[0102] Channel time domain information, such as moving direction, speed, power, multipath delay, etc.;

[0103] Beamforming gain of a transmit beam (TX);

[0104] Terminal implementation related, such as beamforming gain of a receive beam (RX), which reference signal to use, etc.

[0105] The test device can be regarded as a simulator, which can know all the factors except the terminal implementation part of the above factors, and for the terminal implementation, such as the beamforming gain of the part of the receive beam which is unknown to the test device. Since the test device does not know the beamforming gain of the receive beam of the terminal, it is difficult for the test device to determine the actual ideal value in advance, such as the ideal RSRP. One way to derive the ideal RSRP is for the terminal to report the measured RSRP to the test device, and the test device takes the RSRP reported by the terminal as the ideal RSRP.

[0106] However, in fact, the L1-RSRP measured by the terminal in the second time period is different from the ideal RSRP, and there is a difference between the two. In the case where the difference is large, the L1-RSRP measured by the terminal in the second time period is not suitable as the ideal RSRP.

[0107] FIG. 2 is an interaction schematic diagram of a transmission condition determination method according to an embodiment of the present disclosure.

[0108] In some embodiments, the transmission condition determination method can be executed by the test device, or can be executed by the terminal, and then the terminal reports the transmission condition to the test device, or can be executed by a device other than the test device and the terminal, such as a server, and then the server indicates the transmission condition to the test device.

[0109] The following embodiments mainly exemplarily illustrate the technical solutions disclosed in the disclosure in the case where the sending condition determination method is executed by the test device.

[0110] In some embodiments, the above embodiments are mainly illustrated by taking the terminal measuring the RSRP of the reference signal as an example, that is, for the terminal, the to-be-measured is the RSRP of the reference signal, but it should be noted that the to-be-measured in the disclosure is not limited to the RSRP of the reference signal, for example, it can also include the Received Signal Strength Indication (RSSI), the Reference Signal Receiving Quality (RSRQ), and the like, and the disclosure does not limit this. For the convenience of illustration, the following embodiments still exemplify the technical solutions of the disclosure by taking the to-be-measured including the RSRP of the reference signal.

[0111] Based on the foregoing analysis, it can be known that the greater the difference between the measured value obtained by measuring the to-be-measured and the actual ideal value, the less appropriate it is to take the measured value as the actual ideal value. Although the actual ideal value is not known for the test device, the test device can reduce the difference between the measured value and the actual ideal value through some processing manner, so that in the case where the difference is relatively small, the test device can take the test value as the actual ideal value to evaluate the prediction performance of the AI model.

[0112] In some embodiments, based on the test and analysis, it is found that in the step 106, the condition for the test device to send the reference signal will affect the difference between the measured value and the actual ideal value, therefore, the disclosure considers reducing the difference between the measured value and the actual ideal value by determining a suitable condition.

[0113] As shown in FIG. 2, the sending condition determination method can include:

[0114] In step S201, probability distribution information of different differences under at least one value of an influencing factor is determined, wherein the difference includes the difference between the preset ideal value of the to-be-measured and the measured value.

[0115] In some embodiments, the to-be-measured can include the RSRP of the reference signal sent by the test device through the beams in the set A in the step 106, for example, the RSRP can be L1-RSRP, or the RSRP of other layers, and the disclosure does not limit this.

[0116] In some embodiments, since the actual ideal value is unknown to the test device, but in order to determine the difference between the ideal value and the test value, the ideal value still needs to be introduced, because the embodiment participates in the calculation of the above difference by introducing the preset ideal value. The preset ideal value can represent the ideal RSRP measured by the terminal on the reference signal sent by the test device through the beam in set A, but it is not the actual ideal value, but a value that is the same as or close to the actual ideal value based on experience and is preset in advance.

[0117] In some embodiments, based on the foregoing analysis, it can be known that the conditions under which the test device sends the reference signal in the above step 106 will affect the difference between the measured value and the actual ideal value, and thus will also affect the difference between the preset ideal value to be measured and the measured value.

[0118] The embodiment can first determine the probability distribution information of different differences under at least one value of the influencing factor. For example, the probability distribution information can be represented by a probability distribution graph, and the probability distribution graph may, for example, include a cumulative distribution function (CDF) graph.

[0119] In some embodiments, the influencing factor includes at least one of the following:

[0120] Signal-to-noise ratio (SNR);

[0121] Doppler frequency;

[0122] Time interval;

[0123] Channel model;

[0124] Sequence number of the reference signal;

[0125] Frequency domain density of the reference signal.

[0126] FIG. 3A is a schematic diagram of probability distribution information according to an embodiment of the present disclosure.

[0127] As shown in FIG. 3A, taking the case where the influencing factor includes SNR and the channel model as an example, for example, the channel model is a tapped delay line (TDL) model, and the at least one value of the SNR includes -3 dB, 0 dB, 3 dB, and 6 dB. The four curves in FIG. 3A respectively correspond to the probability distribution of the difference between the preset ideal value to be measured and the measured value under the above four values of the SNR.

[0128] In step S202, a first value of the influencing factor is determined based on the first probability range and the first threshold value, and the at least one value of the influencing factor includes the first value of the influencing factor.

[0129] For example, the first threshold value can be a predetermined value, and the first probability range can be a predetermined probability range. The test device can determine that the value of the influencing factor of the probability distribution information corresponding to the difference value is less than the first threshold value in the case that the absolute value of the difference value is less than the first threshold value in the first probability range.

[0130] In step S203, the first transmission condition of the reference signal corresponding to the to-be-measured is determined according to the first value of the influencing factor.

[0131] Still taking 3A as an example, for example, the first probability range is 10% to 90%.

[0132] The intersection point of the curve of SNR=-3dB and the probability of 10% in FIG. 3A is point A, and the intersection point of the curve of SNR=6dB and the probability of 90% is point D. The difference value corresponding to point A is-2.3dB, and the difference value corresponding to point D is 2.6dB, so it can be determined that the maximum absolute value of the difference value is 2.6dB, which indicates that the deviation (i.e., the absolute value of the difference value) between the ideal value (for example, the actual ideal value or the preset ideal value) of the to-be-measured and the measured value has a probability of 80% within 2.6dB under the condition of SNR=-3dB.

[0133] The intersection point of the curve of SNR=-3dB and the probability of 10% in FIG. 3A is point A, and the intersection point of the curve of SNR=6dB and the probability of 90% is point D. The difference value corresponding to point A is-2.3dB, and the difference value corresponding to point D is 2.6dB, so it can be determined that the maximum absolute value of the difference value is 2.6dB, which indicates that the deviation (i.e., the absolute value of the difference value) between the ideal value (for example, the actual ideal value or the preset ideal value) of the to-be-measured and the measured value has a probability of 80% within 2.6dB under the condition of SNR=-3dB.

[0134] For example, the first threshold value is 1dB, and the corresponding threshold interval in FIG. 3A is [-1dB, 1dB].

[0135] According to the intersection points of the curves corresponding to the above four values of SNR and the probabilities of 10% and 90% in FIG. 3A, it can be known that in the cases of SNR=6dB and SNR=3dB, the intersection regions of the curves and the probabilities of 10% and 90% are within the threshold interval [-1dB, 1dB], that is, the absolute value of the difference value is less than the first threshold value in the first probability range; and in the cases of SNR=0dB and SNR=-3dB, the intersection regions of the curves and the probabilities of 10% and 90% are outside the threshold interval [-1dB, 1dB], that is, the absolute value of the difference value is greater than the first threshold value in the first probability range.

[0136] According to this, in FIG. 3A, in the case that the absolute value of the difference is less than the first threshold in the first probability range, the probability distribution information corresponding to the difference is the curve corresponding to SNR = 6 dB and SNR = 3 dB, that is, in the case that the absolute value of the difference is less than the first threshold in the first probability range, the value of the influencing factor SNR of the probability distribution information corresponding to the difference includes 3 dB and 6 dB.

[0137] It can be seen that, on the basis of the value of the influencing factor determined in the embodiment, the absolute value of the difference between the preset ideal value to be measured and the measured value has a relatively large probability (for example, 80% probability) of being relatively small (for example, less than the first threshold), and on this basis, the test equipment is beneficial to ensure that the difference between the measured value obtained by the terminal to the measured measurement and the actual ideal value is relatively small in the case of transmitting the reference signal with the determined value of the influencing factor as the first transmission condition.

[0138] In some embodiments, the actual ideal value is used by the test equipment to determine whether the prediction result is accurate. Therefore, based on the embodiments of the present disclosure, since the difference between the measured value and the actual ideal value is relatively small, the test equipment can more accurately evaluate the prediction performance of the AI model by regarding the measured value as the actual ideal value.

[0139] The above several influencing factors are exemplarily illustrated through several embodiments as follows.

[0140] In some embodiments, the channel model includes at least one of the following: an Additive White Gaussian Noise (AWGN) channel model, a Cluster Delay Line (CDL) channel model, a TDL channel model, an Extended Vehicular A (EVA) channel model ETU, an Extended Typical Urban (ETU) channel model, and an Extended Pedestrian A (EPA) channel model.

[0141] In some embodiments, for example, the to-be-measured includes RSRP, the RSRP can be the RSRP measured by the terminal to the reference signal transmitted by the test equipment, and the test equipment can transmit the reference signal through the beams in the beam set (for example, the above-mentioned set A and set B). The reference signals transmitted through different beams can have different serial numbers, or the same beam can carry reference signals with different serial numbers. The serial number of the reference signal in the influencing factor can be used to represent the reference signal transmitted by the test equipment.

[0142] In some embodiments, the frequency domain density of the reference signal can be represented by the number of subcarriers occupied by the reference signal in the frequency domain.

[0143] In some embodiments, the time interval is a time interval between the first time period and the second time period.

[0144] In the first time period, the test device transmits the reference signal through the beams in the first beam set under the second transmission condition, the terminal measures the reference signal carried by the beams in the first beam set, predicts a first beam (e.g., the best beam) in the second beam set according to the measurement result, and sends the prediction result to the test device, the first beam set being a subset of the second beam set; and / or,

[0145] In the second time period, the test device transmits the reference signal through the beams in the second beam set under the first transmission condition, the terminal measures the reference signal carried by the beams in the second beam set to determine the corresponding measurement value to be measured, and sends the measurement value to the test device as the actual ideal value.

[0146] For example, the first time period in the embodiment can be the first time period in the embodiment shown in FIG. 1B; for example, the second time period in the embodiment can be the second time period in the embodiment shown in FIG. 1B.

[0147] For example, the time interval can be an interval between the start of the first time period and the start of the second time period; for example, the time interval can be an interval between the end of the first time period and the end of the second time period; for example, the time interval can be an interval between the midpoint of the first time period and the midpoint of the second time period; for example, the time interval can be an interval between the start of the first time period and the end of the second time period.

[0148] It should be noted that in the related embodiments of some schematic diagrams (e.g., FIG. 3A and subsequent FIGS. 3B, 3C, and 3D) of the present disclosure, the probability distribution information shown in the diagram can be obtained on the basis of a plurality of influencing factors, for example, the 4 curves in FIG. 3A, in addition to considering the value of SNR and the channel model, the Doppler frequency (e.g., the Doppler frequency is 20 Hz), the sequence number of the reference signal (e.g., the sequence number of the reference signal is 127), the frequency domain density of the reference signal (e.g., the reference signal occupies 127 subcarriers in the frequency domain), and other influencing factors, but the values of these influencing factors are fixed in the diagram, so they are not described in detail.

[0149] FIG. 3B is a schematic diagram of another probability distribution information according to an embodiment of the present disclosure.

[0150] As shown in FIG. 3B, taking the influencing factors including SNR and channel model as an example, for example, the channel model is the AWGN model, and at least one value of SNR includes -3 dB, 0 dB, 3 dB, and 6 dB.

[0151] The four curves in FIG. 3B respectively correspond to the probability distribution of the difference between the preset ideal value and the measured value of the to-be-measured quantity under the four values of SNR.

[0152] As can be seen from the analysis of FIG. 3B, in the case where the absolute value of the difference is less than the first threshold in the first probability range, the probability distribution information corresponding to the difference is the curve corresponding to SNR=6 dB, SNR=3 dB and SNR=0 dB. In the case of the AWGN channel model, the curve corresponding to a smaller SNR can also meet the requirement that the absolute value of the difference is less than the first threshold in the first probability range, relative to the TDL channel model.

[0153] Therefore, the first transmission condition includes the AWGN channel model, and relative to the first transmission condition including the fading channel model (for example, the CDL channel model, the TDL channel model, etc.), more values of SNR can meet the requirement that the absolute value of the difference is less than the first threshold in the first probability range. In some embodiments, in the case where more values of SNR are required to meet the requirement that the absolute value of the difference is less than the first threshold in the first probability range, the first condition can be set to include the AWGN channel model and not include the fading channel model.

[0154] The above FIGS. 3A and 3B mainly describe the probability distribution information of the difference under different values of SNR. The following describes the probability distribution information of the difference under different values of other influencing factors through several embodiments.

[0155] FIG. 3C is a schematic diagram of another kind of probability distribution information according to an embodiment of the present disclosure.

[0156] As shown in FIG. 3C, taking the influencing factor including the doppler frequency as an example, for example, at least one value of the doppler includes 30 Hz, 10 Hz and 1 Hz. The three curves in FIG. 3C respectively correspond to the probability distribution of the difference between the preset ideal value and the measured value of the to-be-measured quantity under the three values of the doppler.

[0157] For example, the first probability range is 5% to 95%, the intersection point of the curve of doppler=30 Hz and the probability 5% in FIG. 3C is the corresponding difference of -1.8 dB, and the intersection point of the curve of doppler=30 Hz and the probability 95% is the corresponding difference of 1.5 dB. Therefore, it can be determined that the absolute value of the difference is at most 1.8 dB, which indicates that the deviation (i.e., the absolute value of the difference) between the ideal value (for example, the actual ideal value or the preset ideal value) and the measured value of the to-be-measured quantity has a probability of 90% within 1.8 dB under the condition of doppler=30 Hz.

[0158] The intersection of the curve of doppler=10Hz and probability 5% in FIG. 3C corresponds to a difference value of -0.6dB, and the intersection of the curve of doppler=10Hz and probability 95% corresponds to a difference value of 0.5dB, so it can be determined that the maximum absolute value of the difference value is 0.6dB, which indicates that under the condition of doppler=10Hz, the deviation (i.e., the absolute value of the difference value) between the ideal value (e.g., the actual ideal value or the preset ideal value) to be measured and the measured value has a 90% probability of being within 0.6dB.

[0159] For example, the first threshold value is 1dB, and the corresponding threshold interval in FIG. 3C is [-1dB, 1dB].

[0160] According to the intersections of the curves corresponding to the above three values of doppler with probabilities 5% and 95% in FIG. 3C, it can be determined that in the cases of doppler=10Hz and doppler=1Hz, the intersection regions of the curves with probabilities 5% and 95% are within the threshold interval [-1dB, 1dB], i.e., the absolute value of the difference value is less than the first threshold value within the first probability range; and in the case of doppler=1Hz, the intersection region of the curve with probabilities 5% and 95% is outside the threshold interval [-1dB, 1dB], i.e., the absolute value of the difference value is greater than the first threshold value within the first probability range.

[0161] Accordingly, it can be determined that in FIG. 3C, in the case where the absolute value of the difference value is less than the first threshold value within the first probability range, the probability distribution information corresponding to the difference value is the curves corresponding to doppler=10Hz and doppler=1Hz, i.e., in the case where the absolute value of the difference value is less than the first threshold value within the first probability range, the value of the influence factor doppler of the probability distribution information corresponding to the difference value includes 10Hz and 1Hz.

[0162] FIG. 3D is a schematic diagram of another probability distribution information according to an embodiment of the present disclosure.

[0163] As shown in FIG. 3D, taking the influence factor as an example, at least one value of distance includes 10ms, 40ms, and 100ms. The three curves in FIG. 3D correspond to the probability distribution of the difference value between the preset ideal value to be measured and the measured value under the above three values of distance, respectively.

[0164] For example, the first probability range is 5% to 95%, the intersection point of the curve of distance = 10 ms and the probability 5% in FIG. 3D is corresponding to a difference value of -0.8 dB, and the intersection point of the curve of distance = 10 ms and the probability 95% in FIG. 3D is corresponding to a difference value of 0.6 dB, so it can be determined that the maximum absolute value of the difference value is 0.8 dB, which indicates that under the condition of distance = 10 ms, the deviation (i.e., the absolute value of the difference value) between the ideal value (for example, the actual ideal value or the preset ideal value) to be measured and the measured value has a probability of 90% within 0.8 dB.

[0165] The intersection point of the curve of distance = 40 ms and the probability 5% in FIG. 3D is corresponding to a difference value of -2.3 dB, and the intersection point of the curve of distance = 40 ms and the probability 95% in FIG. 3D is corresponding to a difference value of 2.1 dB, so it can be determined that the maximum absolute value of the difference value is 2.3 dB, which indicates that under the condition of distance = 40 ms, the deviation (i.e., the absolute value of the difference value) between the ideal value (for example, the actual ideal value or the preset ideal value) to be measured and the measured value has a probability of 90% within 2.3 dB.

[0166] For example, the first threshold value is 1 dB, and the corresponding threshold value interval in FIG. 3D is [-1 dB, 1 dB].

[0167] According to the intersection points of the curves corresponding to the above three values of distance and the probabilities 5% and 95% in FIG. 3D, it can be known that under the condition of distance = 10 ms, the intersection point region of the curve and the probabilities 5% and 95% is within the threshold value interval [-1 dB, 1 dB], that is, the absolute value of the difference value is less than the first threshold value within the first probability range; and under the conditions of distance = 40 ms and distance = 100 ms, the intersection point region of the curve and the probabilities 5% and 95% is outside the threshold value interval [-1 dB, 1 dB], that is, the absolute value of the difference value is greater than the first threshold value within the first probability range.

[0168] Accordingly, it can be known in FIG. 3D that under the condition that the absolute value of the difference value is less than the first threshold value within the first probability range, the probability distribution information corresponding to the difference value is the curve corresponding to distance = 10 ms, that is, under the condition that the absolute value of the difference value is less than the first threshold value within the first probability range, the value of the influence factor distance of the probability distribution information corresponding to the difference value includes 10 ms.

[0169] In some embodiments, the value of the signal-to-noise ratio is negatively correlated with the absolute value of the difference value;

[0170] And / or, the Doppler frequency is positively correlated with the absolute value of the difference value;

[0171] And / or, the time interval is positively correlated with the absolute value of the difference value.

[0172] It can be known through analyzing the above examples of FIGS. 3A to 3D that:

[0173] In a certain probability range (e.g. 80% probability range shown in FIG. 3A), the greater the SNR, the smaller the absolute value of the difference between the preset ideal value and the measured value;

[0174] In a certain probability range (e.g. 90% probability range shown in FIG. 3C), the greater the doppler, the greater the absolute value of the difference between the preset ideal value and the measured value;

[0175] In a certain probability range (e.g. 90% probability range shown in FIG. 3D), the greater the distance, the greater the absolute value of the difference between the preset ideal value and the measured value.

[0176] Therefore, in some embodiments, in a certain probability range, if it is required that the absolute value of the difference between the preset ideal value and the measured value is more likely to meet the requirement of being less than a first threshold, the SNR in the first sending condition can be set to be relatively large, and / or the doppler can be relatively small, and / or the distance can be relatively small.

[0177] In some embodiments, sending the measured value as the actual ideal value to the test device comprises: determining the actual ideal value according to additional information of the to-be-measured (e.g. RSRP) and the measured value.

[0178] In some embodiments, the additional information comprises at least one of:

[0179] Radio frequency implementation margin (RF implementation margin);

[0180] Measurement error (Measurement error);

[0181] Time variation (e.g. also referred to as time domain variation (Time domain variation)).

[0182] In some embodiments, the radio frequency implementation margin is a predefined value; and / or the measurement error is determined based on the maximum value of the absolute value of the difference in the first probability range; and / or the time variation is determined based on the maximum value of the absolute value of the difference in the first probability range.

[0183] In some embodiments, due to the influence of various factors in the actual measurement environment, in order to determine the actual ideal value, in addition to the measured value of the to-be-measured, other information of the to-be-measured also needs to be considered.

[0184] For example, there is a certain measurement error in the measurement operation of the terminal for the to-be-measured, so the measurement error can be considered when determining the actual ideal value.

[0185] For example, the terminal implements the measurement operation on the to-be-measured measurement through a radio frequency module (RF), and the radio frequency modules in different terminals can have different radio frequency implementation amplitudes. Therefore, when determining the actual ideal value, the radio frequency implementation amplitude can be taken into account.

[0186] For example, the terminal determines that the prediction result is implemented in a first time period based on the AI model, and the measurement value of the RSRP is measured in a second time period. If the value of the RSRP to-be-measured changes with time from the first time period to the second time period is large, it will also affect the performance of the AI model when the test equipment takes the measurement value as the actual ideal value. Therefore, when determining the actual ideal value, the value changing with time can be taken into account.

[0187] In some embodiments, the influencing factor includes a signal-to-noise ratio, wherein the additional information does not include the measurement error when the signal-to-noise ratio is greater than a signal-to-noise ratio threshold.

[0188] When the influencing factor includes the signal-to-noise ratio, the measurement error of the terminal on the to-be-measured measurement is relatively small, for example, can be ignored, when the signal-to-noise ratio is relatively large. Therefore, in this case, the additional information can not include the measurement error. For example, when the signal-to-noise ratio is relatively large, the measurement error of the measurement value can be skipped.

[0189] In some embodiments, the influencing factor includes a Doppler frequency, wherein the additional information does not include the measurement value changing with time when the Doppler frequency is less than a frequency threshold.

[0190] When the influencing factor includes the Doppler frequency, the measurement value changing with time is relatively small, for example, can be ignored, when the Doppler is relatively large (for example, the Doppler frequency is greater than the frequency threshold). Therefore, in this case, the additional information can not include the measurement value changing with time. For example, when the Doppler is relatively large, the measurement value changing with time can be skipped.

[0191] For example, taking the to-be-measured measurement including RSRP as an example:

[0192] The additional information can only include the radio frequency implementation amplitude, and the actual ideal value of the RSRP = the measurement value of the RSRP ± the radio frequency implementation amplitude.

[0193] The additional information can only include the radio frequency implementation margin, and then the actual ideal value of the RSRP = the measured value of the RSRP ± the radio frequency implementation margin of the RSRP;

[0194] The additional information can include the radio frequency implementation margin and the measurement error, and then the actual ideal value of the RSRP = the measured value of the RSRP ± the radio frequency implementation margin of the RSRP ± the measurement error of the RSRP;

[0195] The additional information can include the radio frequency implementation margin and the time-varying value, and then the actual ideal value of the RSRP = the measured value of the RSRP ± the radio frequency implementation margin of the RSRP ± the time-varying value of the RSRP;

[0196] The additional information can include the radio frequency implementation margin, the measurement error, and the time-varying value, and then the actual ideal value of the RSRP = the measured value of the RSRP ± the radio frequency implementation margin ± the measurement error of the RSRP ± the time-varying value of the RSRP.

[0197] The communication method related to the embodiments of the present disclosure can include at least one of steps S201-S203. For example, step S201 can be implemented as an independent embodiment, step S202 can be implemented as an independent embodiment, step S203 can be implemented as an independent embodiment, steps S201+S202 can be implemented as an independent embodiment, steps S201+S203 can be implemented as an independent embodiment, steps S202+S203 can be implemented as an independent embodiment, steps S201+S202+S203 can be implemented as an independent embodiment, but not limited thereto.

[0198] In some embodiments, steps S201, S202, and S203 can be exchanged in order or executed simultaneously.

[0199] In some embodiments, step S201 is optional, and one or more of the steps can be omitted or replaced in different embodiments.

[0200] In some embodiments, step S202 is optional, and one or more of the steps can be omitted or replaced in different embodiments.

[0201] In some embodiments, step S203 is optional, and one or more of the steps can be omitted or replaced in different embodiments.

[0202] In some embodiments, other optional implementations described before or after the description corresponding to FIG. 2 can be referred to.

[0203] In a first aspect, embodiments of the present disclosure provide a sending condition determination method. FIG. 4 is a schematic flowchart of a sending condition determination method according to an embodiment of the present disclosure. The sending condition determination method shown in this embodiment can be performed by a terminal.

[0204] As shown in FIG. 4, the sending condition determination method can include the following steps:

[0205] In step S401, probability distribution information of different difference values under at least one value of an influencing factor is determined, wherein the difference value includes a difference between a preset ideal value to be measured and a measured value.

[0206] In step S402, a first value of the influencing factor is determined based on a first probability range and a first threshold value, and the at least one value of the influencing factor includes the first value of the influencing factor.

[0207] In step S403, a first sending condition of the reference signal corresponding to the to-be-measured is determined according to the first value of the influencing factor.

[0208] 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 is not limited.

[0209] In some embodiments, the influencing factor includes at least one of the following: a signal-to-noise ratio; a Doppler frequency; a time interval; a channel model; a sequence number of the reference signal; and a frequency domain density of the reference signal.

[0210] In some embodiments, the value of the signal-to-noise ratio is negatively correlated with the absolute value of the difference value; and / or, the Doppler frequency is positively correlated with the absolute value of the difference value; and / or, the time interval is positively correlated with the absolute value of the difference value.

[0211] In some embodiments, the time interval is a time interval between a first period and a second period; wherein in the first period, a test device transmits the reference signal through a beam in a first beam set under a second sending condition, a terminal measures the reference signal carried by the beam in the first beam set, predicts a first beam in a second beam set according to the measurement result, and sends the prediction result to the test device, and the first beam set is a subset of the second beam set; and / or, in the second period, the test device transmits the reference signal through a beam in the second beam set under the first sending condition, the terminal measures the reference signal carried by the beam in the second beam set to determine a measured value corresponding to the to-be-measured, and sends the measured value as an actual ideal value to the test device.

[0212] In some embodiments, the actual ideal value is used by the test device to determine whether the predicted result is accurate.

[0213] In some embodiments, the sending of the measurement value as an actual ideal value to the test device comprises determining the actual ideal value according to the additional information of the to-be-measured and the measurement value.

[0214] In some embodiments, the additional information comprises at least one of: a radio frequency implementation margin; a measurement error; a time-varying value.

[0215] In some embodiments, the influence factor comprises a signal-to-noise ratio, wherein, in a case where the signal-to-noise ratio is greater than a signal-to-noise ratio threshold, the additional information does not comprise the measurement error; and / or, the influence factor comprises a Doppler frequency, wherein, in a case where the Doppler frequency is less than a frequency threshold, the additional information does not comprise the time-varying value of the measurement value.

[0216] In some embodiments, the radio frequency implementation margin is a predefined value; and / or, the measurement error is determined based on a maximum value of an absolute value of the difference value within a first probability range; and / or, the time-varying value is determined based on a maximum value of an absolute value of the difference value within a first probability range.

[0217] The optional implementation of the first aspect and the optional implementation of the optional embodiments of the first aspect can refer to the optional implementation of the embodiments shown in FIG. 2 and other associated parts in the embodiments related to FIG. 2, which will not be described here.

[0218] In some embodiments, the names of information and the like are not limited to the names described in the embodiments, and the terms such as “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.

[0219] In some embodiments, the terms of "moment", "time point", "time", "time position" and the like can be replaced with each other, and the terms of "duration", "time period", "time window", "window", "time" and the like can be replaced with each other.

[0220] In some embodiments, the terms of "acquire", "obtain", "get", "receive", "transmit", "bidirectional transmission", "send and / or receive" and the like can be replaced with each other, which can be interpreted as receiving from other subjects, acquiring from protocols, acquiring from higher layers, obtaining by self-processing, autonomously implementing and the like.

[0221] 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.

[0222] In some embodiments, the terms of "certain", "preset", "preset", "set", "indicated", "certain", "arbitrary", "first" and the like can be replaced with each other, and "certain A", "preset A", "preset A", "set A", "indicated A", "certain A", "arbitrary A", "first A" can be interpreted as A specified in advance in protocols and the like, A obtained by setting, configuration, or indication, and the like, A specific, certain, arbitrary, or first A, but not limited thereto.

[0223] Corresponding to the foregoing embodiments of the transmission condition determination method, the disclosure also provides embodiments of a transmission condition determination device.

[0224] FIG. 5 is a schematic block diagram of a transmission condition determination device according to an embodiment of the disclosure. For example, the transmission condition determination device can be provided in a test device. As shown in FIG. 5, the transmission condition determination device includes a processing module 501.

[0225] In some embodiments, the processing module is configured to determine probability distribution information of different difference values under at least one value of an influencing factor, wherein the difference value includes a difference between a preset ideal value to be measured and a measured value; determine a first value of the influencing factor based on a first probability range and a first threshold value, the at least one value of the influencing factor includes the first value of the influencing factor; and determine a first transmission condition of a corresponding reference signal of the to-be-measured based on the first value of the influencing factor.

[0226] In some embodiments, the influencing factor includes at least one of the following: signal-to-noise ratio; Doppler frequency; time interval; channel model; sequence number of the reference signal; frequency domain density of the reference signal.

[0227] In some embodiments, the value of the signal-to-noise ratio is negatively correlated with the absolute value of the difference; and / or, the Doppler frequency is positively correlated with the absolute value of the difference; and / or, the time interval is positively correlated with the absolute value of the difference.

[0228] In some embodiments, the time interval is a time interval between a first time period and a second time period; wherein, in the first time period, the test device transmits the reference signal through beams in a first beam set under a second transmission condition, the terminal measures the reference signal carried by the beams in the first beam set, predicts a first beam in a second beam set according to the measurement result, and sends the prediction result to the test device, the first beam set being a subset of the second beam set; and / or, in the second time period, the test device transmits the reference signal through beams in the second beam set under the first transmission condition, the terminal measures the reference signal carried by the beams in the second beam set to determine a measurement value corresponding to the to-be-measured quantity, and sends the measurement value as an actual ideal value to the test device.

[0229] In some embodiments, the actual ideal value is used by the test device to determine whether the prediction result is accurate.

[0230] In some embodiments, the processing module is configured to determine the actual ideal value according to the additional information of the to-be-measured quantity and the measurement value.

[0231] In some embodiments, the additional information includes at least one of: a radio frequency implementation margin; a measurement error; a time-varying value.

[0232] In some embodiments, the influencing factor includes a signal-to-noise ratio, wherein, in the case that the signal-to-noise ratio is greater than a signal-to-noise ratio threshold, the additional information does not include the measurement error; and / or, the influencing factor includes a Doppler frequency, wherein, in the case that the Doppler frequency is less than a frequency threshold, the additional information does not include the time-varying value of the measurement value.

[0233] In some embodiments, the radio frequency implementation margin is a predefined value; and / or, the measurement error is determined based on a maximum value of the absolute value of the difference within a first probability range; and / or, the time-varying value is determined based on a maximum value of the absolute value of the difference within a first probability range.

[0234] 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.

[0235] 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.

[0236] 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 any of the above methods or realize the functions of each unit or module 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 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 of 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 above 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.

[0237] 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.

[0238] FIG. 6A is a structural schematic diagram of a communication device 6100 according to an embodiment of the present disclosure. The communication device 6100 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 6100 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.

[0239] As shown in FIG. 6A, the communication device 6100 includes one or more processors 6101. The processor 6101 can be a general processor or a special-purpose processor, etc., such as a baseband processor or a central processing unit. The baseband processor can be configured to process communication protocols and communication data, and the central processing unit can be configured 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 6100 is configured to perform any of the above methods. Optionally, the one or more processors 6101 are configured to invoke instructions to cause the communication device 6100 to perform any of the above methods.

[0240] In some embodiments, the communication device 6100 further includes one or more transceivers 6102. When the communication device 6100 includes the one or more transceivers 6102, the transceiver 6102 performs at least one of the communication steps (e.g., steps S201 and S202, but not limited to) in the above methods, and the processor 6101 performs at least one of the other steps (e.g., steps S201 and 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.

[0241] In some embodiments, the communication device 6100 further includes one or more memories 6103 for storing data. Optionally, all or part of the memory 6103 can also be outside the communication device 6100. In optional embodiments, the communication device 6100 can include one or more interface circuits 6104. Optionally, the interface circuit 6104 is connected to the memory 6102, and the interface circuit 6104 can be configured to receive data from the memory 6102 or other devices, and can be configured to send data to the memory 6102 or other devices. For example, the interface circuit 6104 can read data stored in the memory 6102 and send the data to the processor 6101.

[0242] The communication device 6100 described in the above embodiments can be a network device or a terminal, but the scope of the communication device 6100 described in the present disclosure is not limited thereto, and the structure of the communication device 6100 can not be limited by FIG. 6A. The communication device can be a standalone device or can be 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.

[0243] FIG. 6B is a structural schematic diagram of a chip 6200 according to an embodiment of the present disclosure. For the case where the communication device 6100 is a chip or a chip system, the structural schematic diagram of the chip 6200 shown in FIG. 6B can be referred to, but is not limited thereto.

[0244] The chip 6200 includes one or more processors 6201. The chip 6200 is configured to perform any of the above methods.

[0245] In some embodiments, the chip 6200 further includes one or more interface circuits 6202. Optionally, the terms interface circuit, interface, transceiver pin, and the like can be replaced with each other. In some embodiments, the chip 6200 further includes one or more memories 6203 for storing data. Optionally, all or part of the memory 6203 can be outside the chip 6200. Optionally, the interface circuit 6202 is connected to the memory 6203, and the interface circuit 6202 can be configured to receive data from the memory 6203 or other devices, and the interface circuit 6202 can be configured to send data to the memory 6203 or other devices. For example, the interface circuit 6202 can read data stored in the memory 6203 and send the data to the processor 6201.

[0246] In some embodiments, the interface circuit 6202 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 6202 performing the communication steps such as transmitting and / or receiving in the above methods means that the interface circuit 6202 performs data interaction between the processor 6201, the chip 6200, the memory 6203, or a transceiver device. In some embodiments, the processor 6201 performs at least one of the other steps (such as steps S201, S202, but not limited thereto).

[0247] The modules and / or devices described in various embodiments of the virtual device, the physical device, the chip, etc. can be combined or separated according to circumstances. Alternatively, part or all of the steps can also be performed by a plurality of modules and / or devices in cooperation, which is not limited here.

[0248] The disclosure further provides a storage medium having instructions stored thereon, which, when executed on the communication device 6100, causes the communication device 6100 to perform any of the above methods. Alternatively, the storage medium is an electronic storage medium. Alternatively, 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. Alternatively, 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.

[0249] The disclosure further provides a program product, which, when executed by the communication device 6100, causes the communication device 6100 to perform any of the above methods. Alternatively, the program product is a computer program product.

[0250] The disclosure further provides a computer program, which, when executed on a computer, causes the computer to perform any of the above methods.

Claims

1. A method of determining a transmission condition, characterized by, The method comprises: determining probability distribution information of different difference values under at least one value of an influencing factor, wherein the difference value comprises a difference between a preset ideal value to be measured and a measured value; determining a first value of the influencing factor based on a first probability range and a first threshold value, the at least one value of the influencing factor comprising the first value of the influencing factor; determining a first transmission condition of the reference signal corresponding to the to-be-measured based on the first value of the influencing factor.

2. The method of claim 1, wherein, The influencing factor comprises at least one of: a signal-to-noise ratio; a Doppler frequency; a time interval; a channel model; a sequence number of the reference signal; and a frequency domain density of the reference signal.

3. The method of claim 2, wherein, The value of the signal-to-noise ratio is negatively correlated with the absolute value of the difference value; and / or, the Doppler frequency is positively correlated with the absolute value of the difference value; and / or, the time interval is positively correlated with the absolute value of the difference value.

4. The method according to claim 2 or 3, characterized in that, The time interval is a time interval between a first period and a second period; wherein, in the first period, the test device transmits the reference signal through the beams in a first beam set under a second transmission condition, the terminal measures the reference signal carried by the beams in the first beam set, predicts a first beam in a second beam set according to the measurement result, and sends the prediction result to the test device, the first beam set being a subset of the second beam set; and / or, in the second period, the test device transmits the reference signal through the beams in the second beam set under the first transmission condition, the terminal measures the reference signal carried by the beams in the second beam set to determine a corresponding measured value of the to-be-measured, and sends the measured value as an actual ideal value to the test device.

5. The method of claim 4, wherein, The actual ideal value is used by the test device to determine whether the prediction result is accurate.

6. The method according to claim 4 or 5, characterized in that, The sending of the measured value as an actual ideal value to the test device comprises: determining the actual ideal value according to additional information of the to-be-measured and the measured value.

7. The method of claim 6, wherein, The additional information comprises at least one of: a radio frequency implementation amplitude; a measurement error; a time-varying value.

8. The method of claim 7, wherein, The influencing factor comprises a signal-to-noise ratio, wherein, in the case where the signal-to-noise ratio is greater than a signal-to-noise ratio threshold value, the additional information does not include the measurement error; and / or, The influencing factor comprises a Doppler frequency, wherein, in the case where the Doppler frequency is less than a frequency threshold value, the additional information does not include a time-varying value of the measured value.

9. The method according to claim 7 or 8, characterized in that, The radio frequency implementation amplitude is a predefined value; and / or, the measurement error is determined based on a maximum value of the absolute value of the difference value in the first probability range; and / or, the time-varying value is determined based on a maximum value of the absolute value of the difference value in the first probability range.

10. A transmission condition determining apparatus characterized by comprising: The method comprises: The processing module is configured to determine probability distribution information of different difference values under at least one value of an influencing factor, wherein the difference value includes a difference between a preset ideal value to be measured and a measured value; determine a first value of the influencing factor based on a first probability range and a first threshold value, the at least one value of the influencing factor including the first value of the influencing factor; and determine a first sending condition of a corresponding reference signal of the to-be-measured based on the first value of the influencing factor.

11. A communication device, characterized by Comprise: One or more processors; The terminal is configured to execute the method in any one of claims 1 to 9.

12. A storage medium, the storage medium storing instructions, wherein, When the instructions run on the communication device, the communication device is caused to execute the method in any one of claims 1 to 9.

13. A program product, characterized by The program product is executed by the communication device, and the communication device is caused to execute the method in any one of claims 1 to 9.

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