Information processing method, device, system, and computer-readable storage medium

Abstract

The embodiments of the present disclosure relate to the technical field of communications, and disclose an information processing method, an apparatus, and a computer-readable storage medium. The information processing method comprises: receiving first information sent by a terminal, the first information comprising: layer 1 reference signal received power (L1-RSRP); and verifying L1-RSRP accuracy on the basis of a threshold, wherein a first L1-RSRP is a maximum value among a plurality of L1-RSRPs predicted by the terminal on the basis of an artificial intelligence (AI) model. According to the embodiments of the present disclosure, reporting a maximum value among predicted L1-RSRPs as a predicted absolute L1-RSRP can reduce uncertainty associated with reporting absolute RSRPs.

Description

Information processing methods, equipment, systems and storage media Technical Field

[0001] This disclosure relates to the field of communication technology, and more specifically, to an information processing method, apparatus, system, and storage medium. Background Technology

[0002] In wireless communication systems, seamless handover between cells is crucial for maintaining high-quality connectivity when users move between different coverage areas. However, traditional methods for measuring Reference Signal Received Power (RSRP) for handover decisions can face significant challenges, such as increased measurement overhead and potential delays in detecting the optimal handover timing.

[0003] With the development of artificial intelligence, AI-based beam management mechanisms can improve RSRP estimation and beam management efficiency to some extent, but the mechanism is not yet mature and needs further improvement. Summary of the Invention

[0004] This disclosure provides an information processing method, apparatus, system, and storage medium.

[0005] A first aspect of this disclosure provides an information processing method, the method being executed by a first device, the method comprising:

[0006] The receiving terminal sends first information, which includes: Layer 1 Reference Signal Received Power L1-RSRP;

[0007] The accuracy of the L1-RSRP is verified based on the threshold.

[0008] The L1-RSRP includes a first L1-RSRP, which is the maximum value among multiple L1-RSRPs predicted by the terminal based on an artificial intelligence (AI) model.

[0009] A second aspect of this disclosure provides an information processing method, the method being executed by a terminal, the method comprising:

[0010] Send first information to the first device, the first information including: Layer 1 Reference Signal Received Power L1-RSRP;

[0011] The L1-RSRP includes a first L1-RSRP, which is the maximum value among multiple L1-RSRPs predicted by the terminal based on an artificial intelligence (AI) model.

[0012] A third aspect of this disclosure provides a terminal, including:

[0013] The transceiver module is used to send first information to the first device, the first information including: Layer 1 reference signal received power L1-RSRP;

[0014] The L1-RSRP includes a first L1-RSRP; the first L1-RSRP is the maximum value among multiple L1-RSRPs predicted by the terminal based on an artificial intelligence (AI) model.

[0015] A fourth aspect of this disclosure provides a first device, comprising:

[0016] The transceiver module is used to receive first information sent by the terminal, the first information including: Layer 1 Reference Signal Received Power L1-RSRP;

[0017] A processing module is used to verify the accuracy of the L1-RSRP based on a threshold.

[0018] The L1-RSRP includes a first L1-RSRP, which is the maximum value among multiple L1-RSRPs predicted by the terminal based on an artificial intelligence (AI) model.

[0019] A fifth aspect of this disclosure provides a terminal, including:

[0020] One or more processors;

[0021] The terminal is used to execute an optional implementation of the second aspect described above.

[0022] A sixth aspect of this disclosure provides a first device, comprising:

[0023] One or more processors;

[0024] The network device is used to perform an optional implementation of the first aspect described above.

[0025] A seventh aspect of this disclosure provides a communication system including a terminal and a first device, wherein the terminal is used to implement the method described in an optional embodiment of the second aspect, and the first device is used to implement the method described in an optional embodiment of the first aspect.

[0026] According to an eighth aspect of the present disclosure, a computer-readable storage medium is provided that stores executable instructions which are loaded and executed by the processor to implement the method described in the optional embodiments of the first or second aspect.

[0027] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0028] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0029] Figure 1 is a schematic diagram of a wireless communication system according to an exemplary embodiment;

[0030] Figure 2 is a flowchart illustrating an information processing method according to an exemplary embodiment;

[0031] Figure 3 is a flowchart illustrating an information processing method according to an embodiment of this disclosure;

[0032] Figure 4 is a flowchart illustrating the information processing method according to an embodiment of this disclosure;

[0033] Figure 5 is a flowchart illustrating an information processing method according to an embodiment of this disclosure;

[0034] Figure 6a is a schematic diagram of the structure of the first device proposed in an embodiment of this disclosure;

[0035] Figure 6b is a schematic diagram of the structure of the terminal proposed in an embodiment of this disclosure;

[0036] Figure 7a is a schematic diagram of the structure of the communication device proposed in an embodiment of this disclosure;

[0037] Figure 7b is a schematic diagram of the chip structure proposed in an embodiment of this disclosure. Detailed Implementation

[0038] This disclosure provides information processing methods, devices, communication systems, and storage media.

[0039] In a first aspect, embodiments of this disclosure provide an information processing method, which is executed by a first device, the method comprising:

[0040] The receiving terminal sends first information, which includes: Layer 1 Reference Signal Received Power L1-RSRP;

[0041] The accuracy of the L1-RSRP is verified based on the threshold.

[0042] The L1-RSRP includes a first L1-RSRP, which is the maximum value among multiple L1-RSRPs predicted by the terminal based on an artificial intelligence (AI) model.

[0043] In the above embodiments, by reporting the maximum value in the predicted L1-RSRP as the predicted absolute L1-RSRP and verifying the accuracy of the predicted L1-RSRP, the uncertainty of reporting the absolute RSRP can be reduced, thereby improving the AI-based beam management mechanism and further enhancing the estimation of RSRP and the efficiency of beam management.

[0044] In conjunction with some embodiments of the first aspect, in some embodiments, the L1-RSRP further includes: a second L1-RSRP, the second L1-RSRP including the difference between the first L1-RSRP and the non-maximum value among the plurality of L1-RSRPs.

[0045] In the above embodiments, reporting the non-maximum value among the predicted multiple L1-RSRPs as the difference relative to the first L1-RSRP can improve beam management.

[0046] In conjunction with some embodiments of the first aspect, in some embodiments, the first information further includes: beam indices corresponding to the L1-RSRP respectively;

[0047] The method further includes:

[0048] Based on the first information, the second information is sent to the terminal. The second information is used to configure the terminal to measure the beam corresponding to the beam index, and to configure the terminal to report the measured L1-RSRP and the beam index corresponding to the measured L1-RSRP.

[0049] Receive third information sent by the terminal, the third information including measurement results;

[0050] The threshold-based verification of the accuracy of the L1-RSRP includes:

[0051] Based on the threshold and the measurement results, the accuracy of the first L1-RSRP is verified.

[0052] In the above embodiments, by configuring the terminal to measure the beam corresponding to the predicted L1-RSRP reported by it, the power consumption of the terminal can be effectively reduced.

[0053] In conjunction with some embodiments of the first aspect, in some embodiments, if the L1-RSRP is a first L1-RSRP, then the second information configures the terminal to measure the first beam corresponding to the first L1-RSRP; the measurement result includes: the index of the third L1-RSRP and the first beam.

[0054] In conjunction with some embodiments of the first aspect, in some embodiments, if the L1-RSRP includes a first L1-RSRP and a second L1-RSRP, then the second information configures the terminal to measure the second beam and the first beam corresponding to the first L1-RSRP, wherein the second beam is the beam corresponding to the non-maximum value;

[0055] The measurement results include: the third L1-RSRP, the fourth L1-RSRP, the beam index corresponding to the third L1-RSRP, and the beam index corresponding to the fourth L1-RSRP;

[0056] Wherein, the third L1-RSRP is the maximum value among the measured L1-RSRP;

[0057] The beam index corresponding to the third L1-RSRP is determined to be the same as the index of the first beam, and the fourth L1-RSRP is the difference between the third L1-RSRP and the L1-RSRP obtained by measuring the second beam.

[0058] The beam index corresponding to the fourth L1-RSRP is determined to be the same as the index of the first beam. The fourth L1-RSRP is the difference between the third L1-RSRP and the L1-RSRP obtained by measuring the first beam.

[0059] In conjunction with some embodiments of the first aspect, in some embodiments, verifying the accuracy of the first L1-RSRP based on the threshold and the measurement result includes:

[0060] Based on the threshold, the third L1-RSRP, and the preset absolute precision quantization margin, the accuracy of the first L1-RSRP is verified.

[0061] In the above embodiments, by configuring the beam corresponding to the maximum value predicted in the prediction phase during the measurement phase and reporting the beam that is ranked first in the prediction phase, the consistency of the beam index can be maintained. At the same time, the absolute value accuracy of the received reference power (RSRP) can be directly verified without the need for reconstructed values. Therefore, the method of reporting the received reference power (RSRP) can be avoided, thereby eliminating the propagation of quantization error.

[0062] In conjunction with some embodiments of the first aspect, in some embodiments, verifying the accuracy of the first L1-RSRP based on the threshold and the measurement result includes:

[0063] Determine that the index of the beam corresponding to the third L1-RSRP is the same as the index of the first beam. Based on the threshold, the third L1-RSRP, and a preset absolute precision quantization margin, verify the accuracy of the first L1-RSRP; or,

[0064] The index of the beam corresponding to the fourth L1-RSRP is determined to be the same as the index of the first beam. Based on the threshold, the third L1-RSRP and the fourth L1-RSRP, and the preset relative accuracy quantization margin, the accuracy of the first L1-RSRP is verified.

[0065] In the above embodiments, by configuring the beam corresponding to the maximum value predicted in the prediction phase and reporting it during the measurement phase (i.e., the beam ranked first in the prediction phase), the consistency of the beam index can be maintained. Simultaneously, direct verification of the absolute accuracy of the received reference signal power (RSRP) can be achieved without relying on reconstructed values. Therefore, the method of reporting differential received reference signal power (RSRP) can be avoided, thereby eliminating the propagation of quantization errors. Furthermore, by employing the same reporting mechanism (using only absolute quantization) in both the prediction and measurement phases, deterministic error analysis is ensured.

[0066] If the number of configured measurement beams and reported measurement RSRPs is greater than 1, the terminal can report the prediction and measurement results of multiple beams at once, providing the possibility to verify the prediction performance of multiple beams at once, while not limiting the network implementation and making it more flexible.

[0067] In conjunction with some embodiments of the first aspect, in some embodiments, verifying the accuracy of the first L1-RSRP based on the threshold, the third L1-RSRP, and a preset absolute precision quantization margin includes:

[0068] If the absolute value of the difference between the first L1-RSRP and the third L1-RSRP is less than or equal to the sum of the threshold and the preset absolute precision quantization margin, the accuracy verification of the first L1-RSRP is passed.

[0069] In the above embodiments, the accuracy verification of the maximum value in the prediction stage can be achieved without the aid of reconstructed values ​​(i.e., direct verification of the absolute value accuracy of the reference signal received power (RSRP)), avoiding the use of differential RSRP reporting, thereby eliminating the propagation of quantization errors.

[0070] In conjunction with some embodiments of the first aspect, in some embodiments, verifying the accuracy with the first L1-RSRP based on the threshold, the third L1-RSRP, the fourth L1-RSRP, and a preset relative precision quantization margin includes:

[0071] If the first L1-RSRP satisfies both the lower and upper limits, the accuracy verification of the first L1-RSRP is passed.

[0072] The lower limit condition is: the first L1-RSRP is greater than or equal to the difference between the third L1-RSRP and the fourth L1-RSRP minus the sum of the threshold and the first relative precision quantization margin;

[0073] The upper limit condition is: the first L1-RSRP is less than or equal to the difference between the third L1-RSRP and the fourth L1-RSRP plus the sum of the threshold and the second relative precision quantization margin.

[0074] In the above embodiments, the impact of differential quantization error on the reconstructed absolute RSRP was considered during the accuracy verification process, making the performance evaluation more accurate.

[0075] In conjunction with some embodiments of the first aspect, in some embodiments, the step of determining to receive the first information and the step of performing accuracy verification based on a threshold are repeated N times, where N is an integer greater than 1;

[0076] The method also includes the following:

[0077] If the percentage of the number of times the accuracy verification passes relative to N meets the condition, the AI ​​model is determined to pass the test, and / or the AI ​​model is not switched;

[0078] If the percentage of the number of times the accuracy verification passes relative to N does not meet the condition, the AI ​​model is determined to have failed the test, and / or the AI ​​model is switched.

[0079] If the percentage of the number of times the accuracy verification passed is not met relative to N, the AI ​​model is determined to have failed the test, and / or, it is reverted to non-AI mode.

[0080] In the above embodiments, the results of multiple verifications can more effectively monitor the performance of the AI ​​model, or determine whether the performance of the AI ​​model meets the requirements.

[0081] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0082] The terminal sends a fourth message, which is used to configure the terminal to predict the L1-RSRP corresponding to at least one beam, and also to configure the terminal to report the predicted L1-RSRP and the beam index corresponding to the predicted L1-RSRP.

[0083] In the above embodiments, the terminal can report the corresponding first L1-RSRP to the first device based on the beam configured in the first device, thereby better meeting the testing or monitoring needs of the first device.

[0084] Secondly, embodiments of this disclosure propose an information processing method, which is executed by a terminal, and the method includes:

[0085] Send first information to the first device, the first information including: Layer 1 Reference Signal Received Power L1-RSRP;

[0086] The L1-RSRP includes a first L1-RSRP, which is the maximum value among multiple L1-RSRPs predicted by the terminal based on an artificial intelligence (AI) model.

[0087] In conjunction with some embodiments of the second aspect, in some embodiments, the L1-RSRP further includes: a second L1-RSRP, the second L1-RSRP including the difference between the first L1-RSRP and the non-maximum value among the plurality of L1-RSRPs.

[0088] In conjunction with some embodiments of the second aspect, in some embodiments, the first information further includes: a beam index corresponding to the L1-RSRP;

[0089] The method further includes:

[0090] The terminal receives second information sent by the first device based on the first information. The second information is used to configure the terminal to measure the beam corresponding to the beam index and to configure the terminal to report the measured L1-RSRP and the beam index corresponding to the measured L1-RSRP.

[0091] Based on the second information, the beam corresponding to the beam index is measured to obtain the measurement result;

[0092] Send a third message to the first device, the third message including the measurement result.

[0093] In conjunction with some embodiments of the second aspect, in some embodiments, if the L1-RSRP is a first L1-RSRP, then the second information configures the terminal to measure the first beam corresponding to the first L1-RSRP; the measurement result includes: the index of the third L1-RSRP and the first beam.

[0094] In conjunction with some embodiments of the second aspect, in some embodiments, if the L1-RSRP includes a first L1-RSRP and a second L1-RSRP, then the second information configures the terminal to measure the second beam and the first beam corresponding to the first L1-RSRP, wherein the second beam is the beam corresponding to the non-maximum value; the measurement result includes: a third L1-RSRP and a fourth L1-RSRP, the beam index corresponding to the third L1-RSRP and the beam index corresponding to the fourth L1-RSRP;

[0095] Wherein, the third L1-RSRP is the maximum value of the L1-RSRP obtained by measuring the beam;

[0096] The beam index corresponding to the third L1-RSRP is determined to be the same as the index of the first beam, and the fourth L1-RSRP is the difference between the third L1-RSRP and the L1-RSRP obtained by measuring the second beam.

[0097] The beam index corresponding to the fourth L1-RSRP is determined to be the same as the index of the first beam. The fourth L1-RSRP is the difference between the third L1-RSRP and the L1-RSRP obtained by measuring the first beam.

[0098] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0099] The terminal receives fourth information sent by the first device. The fourth information is used to configure the terminal to predict at least one L1-RSRP corresponding to a beam, and is also used to configure the terminal to report the predicted L1-RSRP and the beam index corresponding to the predicted L1-RSRP.

[0100] The L1-RSRP corresponding to the at least one beam is predicted based on the AI ​​model.

[0101] Thirdly, embodiments of this disclosure provide a terminal, including:

[0102] The transceiver module is used to send first information to the first device, the first information including: Layer 1 Reference Signal Received Power (L1-RSRP); wherein, the L1-RSRP includes a first L1-RSRP; the first L1-RSRP is the maximum value among multiple L1-RSRPs predicted by the terminal based on an artificial intelligence (AI) model.

[0103] Fourthly, embodiments of this disclosure provide a network device, including:

[0104] The transceiver module is used to receive first information sent by the terminal, the first information including: Layer 1 Reference Signal Received Power L1-RSRP;

[0105] A processing module is used to verify the accuracy of the L1-RSRP based on a threshold.

[0106] The L1-RSRP includes a first L1-RSRP, which is the maximum value among multiple L1-RSRPs predicted by the terminal based on an artificial intelligence (AI) model.

[0107] Fifthly, embodiments of this disclosure provide a terminal, including:

[0108] One or more processors;

[0109] The terminal executes the method described in the optional implementation of the second aspect.

[0110] According to a sixth aspect of the embodiments of this disclosure, a first device is provided, comprising:

[0111] One or more processors;

[0112] The network device executes the method described in the optional implementation of the first aspect.

[0113] In a seventh aspect, embodiments of this disclosure provide a communication system including a terminal and a first device, wherein the terminal is used to implement the method described in the optional implementation of the second aspect, and the first device is used to implement the method described in the optional implementation of the first aspect.

[0114] Eighthly, embodiments of this disclosure provide a storage medium storing instructions that, when executed on a communication device, cause the communication device to perform the method as described in the optional embodiments of the first or second aspect.

[0115] Ninthly, embodiments of this disclosure provide a program product that, when executed by a communication device, causes the communication device to perform the method as described in the optional implementation of the first or second aspect.

[0116] In a tenth aspect, embodiments of this disclosure provide a computer program that, when run on a computer, causes the computer to perform the methods described in an optional implementation of the first or second aspect.

[0117] Eleventhly, embodiments of this disclosure provide a chip or chip system including processing circuitry for performing the method described in an optional implementation of the first or second aspect above.

[0118] It is understood that the aforementioned communication equipment, communication system, storage medium, program product, and computer program are all used to execute the methods proposed in the embodiments of this disclosure. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods, and will not be repeated here. The communication equipment can be a terminal or a network device.

[0119] This disclosure provides information processing methods, apparatus, communication devices, communication systems, and storage media.

[0120] In some embodiments, terms such as information processing device and communication device may be used interchangeably, as may terms such as information processing system and communication system.

[0121] This disclosure is not exhaustive, but merely illustrative of some embodiments, and is not intended to limit the scope of protection of the embodiments disclosed. Unless otherwise specified, each step in a particular embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged. Furthermore, the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined, for example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0122] In each of the disclosed embodiments, unless otherwise specified or in case of logical conflict, the terminology and / or descriptions of the embodiments are consistent and can be referenced by each other. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0123] The terminology used in the embodiments of this disclosure is for the purpose of describing particular embodiments only and is not intended to limit the embodiments of this disclosure.

[0124] In this embodiment of the disclosure, unless otherwise stated, elements expressed in the singular form, such as "a," "an," "the," "the," "the," "the," "the," "the," "this," etc., can mean "one and only one," or "one or more," "at least one," etc. For example, when using articles such as "a," "an," "the," etc. in translation, the noun following the article can be understood as either a singular expression or a plural expression.

[0125] In the embodiments disclosed herein, "multiple" refers to two or more.

[0126] In some embodiments, the terms “at least one of”, “at least one of”, “at least one of”, “one or more”, “a plurality of”, “multiple”, etc., may be used interchangeably.

[0127] The descriptions in this disclosure, such as "at least one of A, B, C..." or "A and / or B and / or C...", include the case where any one of A, B, C... exists alone, as well as the case where any combination of any of A, B, C... exists alone. Each case can exist alone. For example, "at least one of A, B, C" includes the cases of A alone, B alone, C alone, A and B combination, A and C combination, B and C combination, and A and B and C combination. For example, A and / or B includes the cases of A alone, B alone, and A and B combination.

[0128] In some embodiments, the notation "in one case A, in another case B" or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: A is executed regardless of B, i.e., A is executed in some embodiments; B is executed regardless of A, i.e., B is executed in some embodiments; A and B are selectively executed, i.e., A and B are selected for execution in some embodiments; A and B are both executed, i.e., A and B are executed in some embodiments. The same applies when there are more branches such as A, B, and C.

[0129] The prefixes "first," "second," etc., used in the embodiments of this disclosure are merely for distinguishing different descriptive objects and do not impose restrictions on the position, order, priority, quantity, or content of the descriptive objects. The description of the descriptive objects is found in the claims or the context of the embodiments, and the use of prefixes should not constitute unnecessary restrictions. For example, if the descriptive object is a "field," the ordinal numbers preceding "field" in "first field" and "second field" do not restrict the position or order of the "fields." "First" and "second" do not restrict whether the "fields" they modify are in the same message, nor do they restrict the order of "first field" and "second field." Similarly, if the descriptive object is a "level," the ordinal numbers preceding "level" in "first level" and "second level" do not restrict the priority between "levels." Furthermore, the number of descriptive objects is not limited by ordinal numbers and can be one or more. For example, in "first device," the number of "devices" can be one or more. Furthermore, the objects modified by different prefixes can be the same or different. For example, if the object being described is "device", then "first device" and "second device" can be the same device or different devices, and their types can be the same or different. As another example, if the object being described is "information", then "first configuration" and "second configuration" can be the same information or different information, and their content can be the same or different.

[0130] In some embodiments, “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0131] In some embodiments, the terms “in response to…”, “in response to determining…”, “in the case of…”, “when…”, “if…”, “if…”, etc., can be used interchangeably.

[0132] In some embodiments, the terms “greater than,” “greater than or equal to,” “not less than,” “more than,” “more than or equal to,” “not less than,” “higher than,” “higher than or equal to,” “not lower than,” and “above” can be used interchangeably, as can the terms “less than,” “less than or equal to,” “not greater than,” “less than,” “less than or equal to,” “not more than,” “lower than,” “lower than or equal to,” “not higher than,” and “below”.

[0133] In some embodiments, devices, etc., can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. Terms such as “device”, “equipment”, “circuit”, “network element”, “node”, “function”, “unit”, “section”, “system”, “network”, “chip”, “chip system”, “entity”, and “subject” can be used interchangeably.

[0134] 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," "carrier," "component carrier," and "bandwidth part (BWP)" can be used interchangeably.

[0135] 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", and "client" can be used interchangeably.

[0136] In some embodiments, the access network device, core network device, or network device can be replaced by a terminal. For example, various embodiments of this disclosure can also be applied to structures that replace communication between the access network device, core network device, or network device and the terminal with communication between multiple terminals (e.g., also referred to as 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. Furthermore, terms such as "uplink" and "downlink" can be replaced with terms corresponding to communication between terminals (e.g., "side").

[0137] For example, uplink channels and downlink channels can be replaced with side channels, and uplink links and downlink links can be replaced with side links.

[0138] In some embodiments, the terms "uplink", "uplink", and "physical uplink" can be used interchangeably, as can the terms "downlink", "downlink", and "physical downlink", as well as the terms "sidelink", "sidelink", "sidelink communication", "sidelink communication", "direct connection", "direct link", "direct communication", and "direct link communication".

[0139] In some embodiments, the terms “downlink control information (DCI),” “downlink (DL) assignment,” “DL DCI,” “uplink (UL) grant,” and “UL DCI” can be used interchangeably.

[0140] In some embodiments, terms such as "physical downlink shared channel (PDSCH)" and "DL data" can be used interchangeably, as can terms such as "physical uplink shared channel (PUSCH)" and "UL data".

[0141] In some embodiments, the determination or judgment can be made by a value represented by 1 bit (0 or 1), or by a true or false value (boolean), or by a comparison of numerical values ​​(e.g., a comparison with a predetermined value), but is not limited thereto.

[0142] In some embodiments, "network" can be interpreted as devices included in a network (e.g., access network devices, core network devices, etc.).

[0143] In some embodiments, the acquisition of data, information, etc., may comply with the laws and regulations of the country where the location is situated.

[0144] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0145] Figure 1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure.

[0146] As shown in Figure 1, the communication system 100 includes a terminal 101 and a network device 102.

[0147] In some embodiments, terminal 101 includes, but is not limited to, at least one of the following: mobile phone, wearable device, Internet of Things device, car with communication function, smart car, tablet computer, computer with wireless transceiver function, virtual reality (VR) terminal device, augmented reality (AR) terminal device, wireless terminal device in industrial control, wireless terminal device in self-driving, wireless terminal device in remote medical surgery, wireless terminal device in smart grid, wireless terminal device in transportation safety, wireless terminal device in smart city, and wireless terminal device in smart home.

[0148] In some embodiments, network device 102 may include at least one of access network device and core network device.

[0149] In some embodiments, the access network device is, for example, a node or device that connects a terminal to a wireless network. The network device may include, but is not limited to, at least one of the following in a 5G communication system: evolved Node B (eNB), next-generation eNB (ng-eNB), next-generation Node B (gNB), node B (NB), home node B (HNB), home evolved node B (HeNB), wireless backhaul device, radio network controller (RNC), base station controller (BSC), base transceiver station (BTS), base band unit (BBU), mobile switching center, base station in a 6G communication system, open RAN, cloud RAN, base station in other communication systems, and access node in a wireless fidelity (WiFi) system.

[0150] In some embodiments, the technical solutions of this disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within network devices involved in the embodiments of this disclosure can be transformed into internal interfaces of Open RAN. The processes and information interactions between these internal interfaces can be implemented by software or programs.

[0151] In some embodiments, the access network device may be composed of a central unit (CU) and a distributed unit (DU). The CU may also be called a control unit. The CU-DU structure can separate the protocol layer of the network device. Some of the protocol layer functions are centrally controlled by the CU, while the remaining part or all of the protocol layer functions are distributed in the DU and centrally controlled by the CU. However, this is not the only possibility.

[0152] In some embodiments, the access network device may be a single device, multiple devices, or a group of devices, including all or part of a first network element, a second network element, etc. Network elements may be virtual or physical. Network devices may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).

[0153] In some embodiments, a core network device may be a single device comprising one or more network elements, or it may be multiple devices or a group of devices, each comprising all or part of the aforementioned one or more network elements. Network elements may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), or a Next Generation Core (NGC).

[0154] It is understood that the communication system described in this disclosure is for the purpose of more clearly illustrating the technical solutions of this disclosure, and does not constitute a limitation on the technical solutions proposed in this disclosure. As those skilled in the art will know, with the evolution of system architecture and the emergence of new business scenarios, the technical solutions proposed in this disclosure are also applicable to similar technical problems.

[0155] The following embodiments of this disclosure can be applied to the communication system 100 shown in FIG1, or to some of the main bodies, but are not limited thereto. The main bodies shown in FIG1 are illustrative. The communication system may include all or some of the main bodies in FIG1, or may include other main bodies outside of FIG1. ​​The number and form of each main body are arbitrary. The connection relationship between the main bodies is illustrative. The main bodies may not be connected or may be connected. The connection can be in any way, it can be a direct connection or an indirect connection, it can be a wired connection or a wireless connection.

[0156] The embodiments disclosed herein can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New radio access (NX), Future generation radio access (FX), Global System for Mobile communications (GSM), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), and IEEE 802.20, Ultra-Wideband (UWB), Bluetooth (a registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X) systems, utilizing other systems for random access, and next-generation systems built upon them, etc. Furthermore, multiple systems can be combined (e.g., a combination of LTE or LTE-A with 5G).

[0157] In 5G New Radio (NR) beam management systems, Reference Signal Received Power (RSRP) measurement is a fundamental metric for beam selection and optimization. Traditional beam management relies on Layer 1 (L1) measurements, where User Equipment (UE) periodically measures and reports the RSRP value of a specific beam to the network.

[0158] With the introduction of AI / ML-based beam prediction, UEs can now predict the RSRP values ​​of candidate beams in advance. While this approach reduces measurement latency and improves beam switching efficiency, it introduces new challenges in performance verification.

[0159] In some embodiments, for AI-based beam management, an AI model can be used to predict the RSRP of a beam based on some measurement results. This necessitates evaluating the RSRP prediction performance. For example, the predicted RSRP can be compared with the ground truth L1-RSRP, where the ground truth RSRP is the ideal RSRP. The UE will report several well-quality predicted beams, and defining the performance verification process and thus the performance metrics is a problem that urgently needs to be solved.

[0160] In some embodiments, if absolute RSRP is agreed upon as a metric for beam management prediction, then the absolute RSRP accuracy of AI / ML-based beam prediction = predicted L1-RSRP of beam index i - ground truth L1-RSRP of beam index i. Index i can be any of the top K beam indices based on ground truth L1-RSRP.

[0161] In other words, the same beam index can be used to evaluate the RSRP increment (RSRP delta). However, how to determine the beam index i remains a problem for further research.

[0162] If K > 1, the UE will report K ranked predicted RSRPs, with the largest RSRP reported first and as an absolute value after quantization, while the other RSRPs will be reported as differential RSRPs. The quantized absolute RSRP can also be calculated based on the largest RSRP and the differential RSRP. However, the differential RSRP is quantized as a 4-bit value with a 2dB step. This means that when converting back to an absolute RSRP value, an uncertainty of ±2dB will be introduced, affecting the required absolute RSRP accuracy. Therefore, defining the absolute RSRP accuracy based on the beam index of any reported value is inappropriate.

[0163] Based on the aforementioned wireless communication system, various embodiments of the information processing method proposed in this disclosure will be described in detail below.

[0164] Figure 2 is an interactive schematic diagram of an information processing method according to an embodiment of the present disclosure. As shown in Figure 2, the information processing method is used in a communication system 100, and the method includes:

[0165] S201, Terminal determines L1-RSRP.

[0166] In some embodiments, the terminal may employ an AI model to predict the L1-RSRP of at least one beam.

[0167] In some embodiments, the terminal can use the measured L1-RSRP of at least one beam as input to the AI ​​model to predict the L1-RSRP of at least one beam.

[0168] Optionally, the terminal can measure the L1-RSRP of all beams in set B and use it as input to the AI ​​model to predict the L1-RSRP of all beams in set A. Set B can be a subset of set A, or set B and set A can be the same set of beams, but are not limited to these.

[0169] In some embodiments, the predicted L1-RSRP can be one or more.

[0170] Optionally, if there are multiple predicted L1-RSRPs, the multiple L1-RSRPs can be sorted in descending order.

[0171] For example, multiple L1-RSRPs include: L1-RSRP#1, #2, #3, and #4, arranged in descending order as: L1-RSRP#1, L1-RSRP#4, L1-RSRP#3, and L1-RSRP#2. It can be understood that L1-RSRP#4, L1-RSRP#3, and L1-RSRP#2 are all non-maximum values.

[0172] Optionally, the indices of multiple beams corresponding to multiple L1-RSRPs can also be sorted in descending order of the multiple L1-RSRPs.

[0173] Following the previous example, the indices of multiple beams corresponding to multiple L1-RSRPs include: beam indices #1, #2, #3, and #4. These L1-RSRPs are ordered from largest to smallest as follows: beam index #1, beam index #4, beam index #3, and beam index #2. It can be understood that beam indices #4, #3, and #2 are all beams corresponding to non-maximum values.

[0174] In some embodiments, the terminal can calculate the differential L1-RSRP of L1-RSRP#4, L1-RSRP#3, and L1-RSRP#2 corresponding to beam indices #2, #3, and #4 relative to L1-RSRP#1 corresponding to beam index #1.

[0175] In some embodiments, the terminal may report the predicted L1-RSRP of at least one beam to the first device.

[0176] Optionally, at least one L1-RSRP reported by the terminal includes L1-RSRP reported in absolute value (e.g., L1-RSRP#1 in the example above, i.e., the maximum value among L1-RSRP#1, #2, #3, and #4), and L1-RSRP reported in relative value (e.g., the difference L1-RSRP between L1-RSRP#4, L1-RSRP#3, and L1-RSRP#2 and L1-RSRP#1 in the example above).

[0177] It should be noted that L1-RSRP#1 in the above example can correspond to the first L1-RSRP in the embodiments of this disclosure, and the differential L1-RSRPs of L1-RSRP#4, L1-RSRP#3, and L1-RSRP#2 relative to L1-RSRP#1 in the example can correspond to at least one second L1-RSRP in the embodiments of this disclosure.

[0178] It should also be noted that the beam index #1 corresponding to L1-RSRP#1 in the above example can correspond to the first beam in this embodiment of the present disclosure.

[0179] S202, The terminal sends the first information to the first device.

[0180] In some embodiments, the first information includes L1-RSRP.

[0181] In some embodiments, the first device may receive the L1-RSRP of at least one beam reported by the terminal. Optionally, the L1-RSRP of the at least one beam is a predicted L1-RSRP obtained by the terminal using an AI model.

[0182] Optionally, the first device may receive one or more predicted L1-RSRPs reported by the terminal.

[0183] In some embodiments, the first device may include a network device or testing equipment (TE), but is not limited thereto.

[0184] In some embodiments, the first information may further include index information (or identification information) of the beams corresponding to at least one L1-RSRP.

[0185] In some embodiments, if the predicted L1-RSRP is a single value, the first information may include the L1-RSRP and the index of its corresponding beam. Optionally, the first information includes a first L1-RSRP and the index of a first beam.

[0186] In some embodiments, if there are multiple predicted L1-RSRPs, the first information may include the index of the first L1-RSRP and the index of the first beam, and at least one second L1-RSRP and the index of its respective beam.

[0187] Optionally, each second L1-RSRP is the difference between the first L1-RSRP and one of the non-maximum values ​​of the plurality of L1-RSRPs.

[0188] S203, The first device sends the second information to the terminal.

[0189] In some embodiments, the first device may determine to send second information to the terminal based on receiving the first information.

[0190] In some embodiments, the second information is used to configure the terminal to measure the beam corresponding to the beam index reported by the terminal.

[0191] In some embodiments, the second information is also used to configure the terminal to report the measured L1-RSRP and its corresponding beam index.

[0192] In some embodiments, after receiving multiple L1-RSRPs reported by the terminal and the beam indices corresponding to the multiple L1-RSRPs, the first device determines to verify the accuracy of the L1-RSRP corresponding to the first beam index. Then, the configuration of the beam measured by the terminal in the second information includes the following two cases:

[0193] Case 1: The beam corresponding to the first beam index configured in the second information.

[0194] Optionally, if the L1-RSRP included in the first information is a first L1-RSRP, then the second information configures the terminal to measure the first beam corresponding to the first L1-RSRP.

[0195] In Example 1, following the example above, the second information is used to configure the beam corresponding to the terminal measurement beam index #1.

[0196] Case 2: The second information configures the beam corresponding to the first K beam index.

[0197] Optionally, if the L1-RSRP in the first information includes a first L1-RSRP and a second L1-RSRP, then the second information configures the terminal to measure the second beam and the first beam corresponding to the first L1-RSRP, wherein the second beam is the beam corresponding to a non-maximum value among the predicted multiple L1-RSRPs. It should be understood that the beam index corresponding to the non-maximum value is the same as the beam index corresponding to the second L1-RSRP.

[0198] Optionally, if K=2, then in Example 2, following the example above, the second information is used to configure the beams corresponding to beam index #1 and beam index #4 for terminal measurement.

[0199] It should be understood that "multiple" in the embodiments of this disclosure can be understood as two or more, and the embodiments of this disclosure do not limit this.

[0200] S204, The terminal sends third information to the first device.

[0201] In some embodiments, the terminal measures the beam indicated in the second information based on the received second information to obtain the corresponding L1-RSRP, and reports the measurement result to the first device.

[0202] In some embodiments, if a beam index is configured in the second information, the terminal measures the beam corresponding to the beam index to obtain the corresponding L1-RSRP (which may correspond to the third L1-RSRP in this embodiment) and reports it.

[0203] In Example 3, following Example 1 above, the terminal measures the beam corresponding to beam index #1, obtains L1-RSRP#11, and reports L1-RSRP#11 to the first device.

[0204] In some embodiments, if multiple beam indices are configured in the second information (one of which is the index of the first beam), the terminal measures the beams corresponding to the multiple beam indices respectively to obtain multiple L1-RSRPs, and can then report a third L1-RSRP and a fourth L1-RSRP. Optionally, the third L1-RSRP is the maximum value among the multiple measured L1-RSRPs. Optionally, the fourth L1-RSRP is obtained with the third L1-RSRP as a reference.

[0205] In some embodiments, if the index of the beam corresponding to the third L1-RSRP is the same as the index of the first beam, then the third L1-RSRP and the fourth L1-RSRP are reported. Optionally, the fourth L1-RSRP is the difference between the third L1-RSRP and the L1-RSRP obtained by measuring the second beam.

[0206] Optionally, if K=2, then in Example 4, following Example 2 above, the terminal measures the beams corresponding to beam indices #1 and #4 respectively to obtain L1-RSRP#11 and L1-RSRP#41. If L1-RSRP#11 is greater than L1-RSRP#41, the terminal can also calculate the difference L1-RSRP#14 (which can correspond to the fourth L1-RSRP in this embodiment) between L1-RSRP#41 corresponding to beam index #4 and L1-RSRP#11 corresponding to beam index #1. Then the third information includes L1-RSRP#11 (which can correspond to the third L1-RSRP in this embodiment) and the difference L1-RSRP#14.

[0207] In some embodiments, if the index of the beam corresponding to the fourth L1-RSRP is the same as the index of the first beam, then the third L1-RSRP and the fourth L1-RSRP are reported. Optionally, the fourth L1-RSRP is the difference between the third L1-RSRP and the L1-RSRP obtained by measuring the first beam.

[0208] Optionally, if K=2, then in Example 5, following Example 2 above, the terminal measures the beams corresponding to beam indices #1 and #4 respectively to obtain L1-RSRP#11 and L1-RSRP#41. If L1-RSRP#11 is less than L1-RSRP#41 (which can correspond to the third L1-RSRP in this embodiment), the terminal can also calculate the difference L1-RSRP#14 (which can correspond to the fourth L1-RSRP in this embodiment) between L1-RSRP#41 corresponding to beam index #4 and L1-RSRP#11 corresponding to beam index #1. Then the third information includes L1-RSRP#41 and the difference L1-RSRP#14.

[0209] S205. The first device verifies the accuracy of L1-RSRP.

[0210] In some embodiments, the first device can verify the accuracy of the first L1-RSRP.

[0211] In some embodiments, the first device may verify the accuracy of the first L1-RSRP based on a threshold.

[0212] In some embodiments, if the first device is configured to measure the index of the first beam, that is, the second information only configures one beam, then the first device can verify the accuracy of the first L1-RSRP based on the threshold and the third L1-RSRP, as well as the preset absolute accuracy quantization margin.

[0213] In some embodiments, if the absolute value of the difference between the first L1-RSRP and the third L1-RSRP is less than or equal to the sum of a threshold and a preset absolute precision quantization margin, the precision verification of the first L1-RSRP is passed.

[0214] Optionally, the third L1-RSRP can be understood as the true L1-RSRP corresponding to the first beam, and the first L1-RSRP as the predicted L1-RSRP corresponding to the first beam. Therefore, the accuracy of the first L1-RSRP can be the difference between the first L1-RSRP and the third L1-RSRP. The accuracy verification of the first L1-RSRP is passed when the accuracy of the first L1-RSRP meets the following condition: for example, if the accuracy of the first L1-RSRP meets the condition: |Predicted RSRP - True RSRP| ≤ threshold + preset absolute accuracy quantization margin, then the accuracy verification of the first L1-RSRP is passed.

[0215] For example, if K=2, then in Example 6, following Example 4 above, if |L1-RSRP#1-L1-RSRP#11|≤threshold+preset absolute precision quantization margin, then the precision verification of L1-RSRP#1 is passed.

[0216] It should be noted that the threshold is preset or specified by the protocol. One possible preset absolute precision quantization margin is half the absolute quantization step size. The preset absolute precision quantization margin can also be 0, but is not limited to this; for example, ±1dB, ±2dB, etc. It should be understood that the absolute precision quantization margin can also be described as absolute precision quantization parameter, absolute precision quantization factor, absolute precision quantization coefficient, absolute precision quantization error, precision quantization parameter, precision quantization factor, precision quantization coefficient, precision quantization error, etc., but is not limited to these.

[0217] In some embodiments, if the first device configures the terminal to measure beams corresponding to at least two beam indices, and one of the at least two beam indices is the index of the first beam. Optionally, the first device configures the terminal to measure the second beam and the first beam corresponding to the first L1-RSRP, wherein the second beam is the beam corresponding to the non-maximum value among the predicted multiple L1-RSRPs. Then: the first device can verify the accuracy of the first L1-RSRP based on a threshold using the following two methods:

[0218] Option 1: If the index of the beam corresponding to the third L1-RSRP is the same as the index of the first beam, the first device can verify the accuracy of the first L1-RSRP based on the threshold, the third L1-RSRP, and the preset absolute accuracy quantization margin.

[0219] It should be noted that the specific implementation method for verifying the accuracy of the first L1-RSRP in Scheme 1 is similar to the above-mentioned case of configuring a single beam, and will not be repeated here.

[0220] Option 2: If the index of the beam corresponding to the fourth L1-RSRP is the same as the index of the first beam, the first device can verify the accuracy of the first L1-RSRP based on a threshold, the third L1-RSRP, the fourth L1-RSRP, and a preset relative accuracy quantization margin. Optionally, the fourth L1-RSRP is the difference between the third L1-RSRP and the L1-RSRP obtained by measuring the first beam.

[0221] In some embodiments, if it is determined that the first L1-RSRP satisfies both the lower limit condition and the upper limit condition, then the accuracy verification of the first L1-RSRP is passed.

[0222] Optionally, the lower limit condition is: the first L1-RSRP is greater than or equal to the difference between the third L1-RSRP and the fourth L1-RSRP minus the sum of the threshold and the first relative precision quantization margin.

[0223] Optionally, the upper limit condition is: the first L1-RSRP is less than or equal to the difference between the third L1-RSRP and the fourth L1-RSRP plus the threshold and the second relative precision quantization margin.

[0224] Optionally, if the first L1-RSRP satisfies the condition: third L1-RSRP - fourth L1-RSRP - threshold - preset first relative precision quantization margin ≤ first L1-RSRP ≤ third L1-RSRP - fourth L1-RSRP + threshold + preset first relative precision quantization margin, then the accuracy verification of the first L1-RSRP is passed.

[0225] For example, if K = 2, then in Example 7, following Example 5 above, L1-RSRP#41-differential L1-RSRP#14-threshold-preset first relative precision quantization margin ≤ L1-RSRP#1-≤ L1-RSRP#41-differential L1-RSRP#14+threshold+preset absolute precision quantization margin, then the precision verification of L1-RSRP#1 passes. Wherein, differential L1-RSRP#14 = L1-RSRP#41-L1-RSRP#11.

[0226] Optionally, if the accuracy of the first L1-RSRP meets the condition: threshold - preset first relative accuracy quantization margin ≤ first L1-RSRP - (third L1-RSRP - fourth L1-RSRP) ≤ threshold + preset first relative accuracy quantization margin, then the accuracy verification of the first L1-RSRP is passed.

[0227] In the above embodiment, the fourth L1-RSRP = the third L1-RSRP – the measurement L1-RSRP corresponding to the first beam.

[0228] For example, if K=2, then in Example 8, following Example 5 above, if the threshold - preset first relative precision quantization margin ≤ L1-RSRP#1 - (L1-RSRP#41 - differential L1-RSRP#14) ≤ threshold + preset absolute precision quantization margin, then the precision verification of L1-RSRP#1 passes. Wherein, differential L1-RSRP#14 = L1-RSRP#41 - L1-RSRP#11.

[0229] It should be noted that the threshold is preset or specified by the protocol. The preset first relative precision quantization margin and the preset second relative precision quantization margin can be the same or different, depending on the quantization method. If a rounding quantization method is used, one possible relative precision quantization margin is half the differential quantization step size. In this case, the first relative precision quantization margin is equal to the second relative precision quantization margin. It should be understood that the relative precision quantization margin can also be described as a relative precision quantization parameter, relative precision quantization factor, relative precision quantization coefficient, relative precision quantization error, precision quantization parameter, precision quantization factor, precision quantization coefficient, precision quantization error, etc., but is not limited to these.

[0230] It should also be noted that if the absolute precision quantization margin and the relative precision quantization margin use the same name, such as "precision quantization margin," then "first" and "second" can be used to distinguish them. For example, the absolute precision quantization margin can be described as the first precision quantization margin, and the relative precision quantization margin can be described as the second precision quantization margin. It should be understood that the precision quantization margin can also be described as precision quantization parameter, precision quantization factor, precision quantization coefficient, precision quantization error, etc., but is not limited to these.

[0231] S206. The first device performs the corresponding operation based on the verification results.

[0232] In some embodiments, when the first device is a network device, the above steps S201-S205 can be repeated multiple times, for example, N times. If the percentage of the number of successful verifications relative to N times meets the condition, it is determined not to switch the AI ​​model; if the percentage of the number of successful verifications relative to N times does not meet the condition, it is determined to switch the AI ​​model; if the percentage of the number of successful verifications relative to N times does not meet the condition, it is reverted to the non-AI mode.

[0233] For example, if the percentage of successful verifications in N verification results is less than 10%, then switch to the AI ​​model or revert to the non-AI mode; otherwise, do not switch to the AI ​​model.

[0234] It should be noted that the values ​​in the above examples are merely illustrative and do not constitute any limitation on the solutions of this disclosure. For example, the percentage of successful verifications in N verification results can be less than 5%, 15%, 18%, or 20%, etc., but are not limited to these.

[0235] In some embodiments, when the first device is a network device, the above steps S201-S205 can be repeated multiple times, for example, N times. If the percentage of the number of successful verifications relative to N times meets the condition, the AI ​​model is determined to have passed the test; if the percentage of the number of successful verifications relative to N times does not meet the condition, the AI ​​model is determined to have failed the test.

[0236] For example, if the percentage of successful verifications in N verifications reaches 90% or more, then the AI ​​model passes the test; otherwise, the AI ​​model fails the test.

[0237] It should be noted that the values ​​in the above examples are merely illustrative and do not constitute any limitation on the solutions of this disclosure. For example, the percentage of successful verifications in N verification results can be 80%, 85%, 88%, or 95%, etc., as a judgment condition, but it is not limited to this.

[0238] In some embodiments, prior to step S201, the following may also be included:

[0239] S200, the first device sends the fourth information to the terminal.

[0240] In some embodiments, the fourth information is used to configure the terminal to predict the L1-RSRP corresponding to at least one beam, and also to configure the terminal to report the measured L1-RSRP and its corresponding beam index.

[0241] In some embodiments, the fourth information may include a set of beams that the terminal needs to predict.

[0242] In some embodiments, the fourth information may further include information about the beams that the terminal needs to report, such as the number of beams, their indexes, and the conditions satisfied by the predicted L1-RSRPs corresponding to the beams. Optionally, assuming that the set of beams to be predicted includes 10 beams, the indices of the top 3 predicted L1-RSRPs among the 10 predicted L1-RSRPs need to be reported, and the indices of these 3 beams are sorted in descending order according to their corresponding 3 predicted L1-RSRPs.

[0243] In some embodiments, the names of information, etc., are not limited to those described in the embodiments. Terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", and "data" can be used interchangeably.

[0244] In some embodiments, terms such as “send,” “transmit,” “report,” “distribute,” “transfer,” “bidirectional transmission,” “send and / or receive” can be used interchangeably.

[0245] In some embodiments, terms such as "certain," "preset," "default," "set," "indicated," "a certain," "any," and "first" can be used interchangeably. "Certain A," "preset A," "default A," "set A," "indicated A," "a certain A," "any A," and "first A" can be interpreted as A pre-defined in a protocol or the like, or as A obtained through setting, configuration, or instruction, or as specific A, a certain A, any A, or first A, but are not limited thereto.

[0246] In some embodiments, terms such as “in the case of,” “when,” “when,” “if,” “if,” etc., can be used interchangeably.

[0247] The method involved in the embodiments of this disclosure may include at least one of steps S200 to S206. For example, step S201 can be implemented as an independent embodiment, steps S202 and S205 can be implemented as independent embodiments, steps S201, S202, S203, S204, and S205 can be implemented as independent embodiments, steps S202, S205, and S206 can be implemented as independent embodiments, and steps S201, S202, S205, and S206 can be implemented as independent embodiments. The embodiments are implemented as follows: steps S200, S201, S202, S205, S206, S200, S201, S202, S205, S204, S205, S205, S206, and S200, S201, S202, S205, S206 can be implemented as independent embodiments, but are not limited thereto.

[0248] In some embodiments, step S200 is optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0249] In some embodiments, step S202 is optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0250] In some embodiments, steps S203 and S204 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0251] In some embodiments, step S206 is optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0252] Figure 3 is a flowchart illustrating an information processing method according to an embodiment of the present disclosure. As shown in Figure 3, the information processing method can be executed by a terminal, and the method includes:

[0253] S301, Send the first message.

[0254] In some embodiments, the terminal sends first information to the first device.

[0255] The optional implementation of step S301 can be found in the optional implementation of step S202 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0256] In some embodiments, the first information includes: Layer 1 Reference Signal Received Power (L1-RSRP). Optionally, L1-RSRP includes a first L1-RSRP.

[0257] In some embodiments, the first L1-RSRP is the maximum value among multiple L1-RSRPs predicted by the terminal based on an artificial intelligence (AI) model.

[0258] In some embodiments, the L1-RSRP further includes a second L1-RSRP. Optionally, the second L1-RSRP includes the difference between the first L1-RSRP and a non-maximum value among a plurality of L1-RSRPs.

[0259] In some embodiments, the first information further includes: the beam index corresponding to L1-RSRP.

[0260] Based on the above embodiments, the method may further include: receiving second information sent by the first device based on first information; measuring the beam corresponding to the beam index based on the second information to obtain a measurement result; and sending third information to the first device. Optionally, the third information includes the measurement result.

[0261] In some embodiments, the second information is used to configure the terminal to measure the beam corresponding to at least one beam index, and to configure the terminal to report the measured L1-RSRP and its corresponding beam index.

[0262] In some embodiments, if the L1-RSRP is a first L1-RSRP, the second information configuration terminal measures the first beam corresponding to the first L1-RSRP; the measurement result includes the index of the third L1-RSRP and the first beam.

[0263] In some embodiments, if the L1-RSRP includes a first L1-RSRP and a second L1-RSRP, the second information configuration terminal measures the second beam and the first beam corresponding to the first L1-RSRP, wherein the second beam is the beam corresponding to the non-maximum value; the measurement results include: a third L1-RSRP and a fourth L1-RSRP, the beam index corresponding to the third L1-RSRP and the beam index corresponding to the fourth L1-RSRP.

[0264] Optionally, the third L1-RSRP is the maximum value of the L1-RSRP obtained from the measured beam.

[0265] Optionally, the beam index corresponding to the third L1-RSRP is determined to be the same as the index of the first beam, and the fourth L1-RSRP is the difference between the third L1-RSRP and the L1-RSRP obtained by measuring the second beam.

[0266] Optionally, the index of the beam corresponding to the fourth L1-RSRP is the same as the index of the first beam, and the fourth L1-RSRP is the difference between the L1-RSRP obtained by measuring the first beam.

[0267] The above optional implementation methods can be found in the optional implementation methods of steps S203 and S204 in Figure 2, as well as other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0268] Based on the above embodiments, the method may further include: receiving fourth information sent by the first device.

[0269] Optionally, the fourth information is used to configure the terminal to predict at least one L1-RSRP corresponding to a beam, and also to configure the terminal to report the predicted L1-RSRP and the beam index corresponding to the predicted L1-RSRP.

[0270] The above-mentioned optional implementation methods can be found in the optional implementation methods of step S200 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0271] In some embodiments, the method may further include: predicting the L1-RSRP corresponding to at least one beam based on an AI model; if at least two L1-RSRPs are predicted, determining at least one second L1-RSRP using the first L1-RSRP as a reference. Optionally, the first L1-RSRP is the maximum value among the at least two L1-RSRPs. Optionally, determining at least one second L1-RSRP using the first L1-RSRP as a reference can be understood as: each second L1-RSRP is the difference between the first L1-RSRP and a non-maximum value among the predicted L1-RSRPs.

[0272] Figure 4 is a flowchart illustrating an information processing method according to an embodiment of the present disclosure. As shown in Figure 4, the method involved in this embodiment is executed by a first device, and the method includes:

[0273] S401, Obtain first information.

[0274] In some embodiments, the first device receives first information sent by the terminal.

[0275] The optional implementation of step S401 can be found in the optional implementation of step S202 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0276] In some embodiments, the first information includes: Layer 1 Reference Signal Received Power (L1-RSRP). Optionally, L1-RSRP includes a first L1-RSRP.

[0277] In some embodiments, the first L1-RSRP is the maximum value among multiple L1-RSRPs predicted by the terminal based on an artificial intelligence (AI) model.

[0278] In some embodiments, the L1-RSRP further includes a second L1-RSRP. Optionally, the second L1-RSRP includes the difference between the first L1-RSRP and a non-maximum value among a plurality of L1-RSRPs.

[0279] In some embodiments, the first information further includes: the beam index corresponding to L1-RSRP.

[0280] Based on the above embodiments, the method may further include: sending second information to the terminal based on the first information; and receiving third information sent by the terminal. Optionally, the third information includes measurement results.

[0281] In some embodiments, the second information is used to configure the beam corresponding to the terminal measurement beam index, and to configure the reported L1-RSRP and the beam index corresponding to the measured L1-RSRP.

[0282] In some embodiments, if the L1-RSRP is a first L1-RSRP, the second information configuration terminal measures the first beam corresponding to the first L1-RSRP, and the measurement result includes the index of the third L1-RSRP and the first beam.

[0283] In some embodiments, if L1-RSRP includes a first L1-RSRP and a second L1-RSRP, then the second information configuration terminal measures the second beam and the first beam corresponding to the first L1-RSRP, wherein the second beam is the beam corresponding to the non-maximum value; then the measurement result includes: a third L1-RSRP, a fourth L1-RSRP, the beam index corresponding to the third L1-RSRP and the beam index corresponding to the fourth L1-RSRP.

[0284] Optionally, the third L1-RSRP is the maximum value among the measured L1-RSRPs.

[0285] Optionally, the beam index corresponding to the third L1-RSRP is determined to be the same as the index of the first beam, and the fourth L1-RSRP is the difference between the third L1-RSRP and the L1-RSRP obtained by measuring the second beam.

[0286] Optionally, the beam index corresponding to the fourth L1-RSRP is determined to be the same as the index of the first beam, and the fourth L1-RSRP is the difference between the third L1-RSRP and the L1-RSRP obtained by measuring the first beam.

[0287] The above optional implementation methods can be found in the optional implementation methods of steps S203 and S204 in Figure 2, as well as other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0288] S402. Verify the accuracy of L1-RSRP.

[0289] In some embodiments, the first device may verify the accuracy of the first L1-RSRP based on a threshold and measurement results included in third information.

[0290] In some embodiments, if the L1-RSRP is the first L1-RSRP, step S401 may include: verifying the accuracy of the first L1-RSRP based on a threshold, the third L1-RSRP, and a preset absolute precision quantization margin.

[0291] In some embodiments, if L1-RSRP includes a first L1-RSRP and a second L1-RSRP, step S401 may include:

[0292] The index of the beam corresponding to the third L1-RSRP is determined to be the same as the index of the first beam. Based on the threshold, the third L1-RSRP, and the preset absolute precision quantization margin, the accuracy of the first L1-RSRP is verified; or,

[0293] The index of the beam corresponding to the fourth L1-RSRP is determined to be the same as that of the first beam. Based on the threshold, the third L1-RSRP and the fourth L1-RSRP, as well as the preset relative accuracy quantization margin, the accuracy of the first L1-RSRP is verified.

[0294] In some embodiments, the accuracy of the first L1-RSRP is verified based on a threshold, a third L1-RSRP, and a preset absolute precision quantization margin, including:

[0295] If the absolute value of the difference between the first L1-RSRP and the third L1-RSRP is less than or equal to the sum of the threshold and the preset absolute precision quantization margin, the accuracy verification of the first L1-RSRP is passed.

[0296] In some embodiments, the accuracy with respect to the first L1-RSRP is verified based on a threshold, a third L1-RSRP, a fourth L1-RSRP, and a preset relative accuracy quantization margin, including:

[0297] If the first L1-RSRP satisfies both the lower and upper limits, the accuracy verification of the first L1-RSRP is successful.

[0298] Optionally, the lower limit condition is: the first L1-RSRP is greater than or equal to the difference between the third L1-RSRP and the fourth L1-RSRP minus the sum of the threshold and the first relative precision quantization margin.

[0299] Optionally, the upper limit condition is: the first L1-RSRP is less than or equal to the difference between the third L1-RSRP and the fourth L1-RSRP plus the threshold and the second relative precision quantization margin.

[0300] The optional implementation of step S402 can be found in the optional implementation of step S205 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0301] Based on the above embodiments, the step of determining the receipt of the first information and the step of performing accuracy verification based on the threshold are repeated N times, where N is an integer greater than 1;

[0302] The above methods may also include the following:

[0303] Determine if the percentage of successful accuracy verifications relative to N meets the condition, confirm that the AI ​​model passes the test, and / or, do not switch the AI ​​model;

[0304] If the percentage of successful accuracy verifications relative to N does not meet the criteria, the AI ​​model is deemed to have failed the test, and / or, the AI ​​model is switched.

[0305] If the percentage of successful accuracy verifications relative to N is not met, the AI ​​model is deemed to have failed the test, and / or, the system is reverted to non-AI mode.

[0306] The above-mentioned optional implementation methods can be found in the optional implementation methods of step S206 in Figure 2, and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0307] Based on the above embodiments, in some embodiments, before step S401, the method may further include: sending fourth information to the terminal.

[0308] In some embodiments, the fourth information is used to configure the terminal to predict the L1-RSRP corresponding to at least one beam, and also to configure the terminal to report the predicted L1-RSRP and the beam index corresponding to the predicted L1-RSRP.

[0309] The above-mentioned optional implementation methods can be found in the optional implementation methods of step S200 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0310] This disclosure also provides an optional implementation designed for verifying performance metrics of RSRP prediction accuracy and for performance monitoring.

[0311] In some embodiments, to reduce uncertainty in reporting absolute RSRP, the beam ranked first in the report can be used as a reference.

[0312] In some embodiments, the definition of absolute prediction accuracy will use the beam with the highest predicted RSRP in the report as a reference. For example, index i is the index of the first beam listed in the report.

[0313] In some embodiments, the performance metric for the absolute prediction accuracy of L1-RSRP can be defined as:

[0314] The predicted absolute RSRP accuracy = L1-RSRP predicted value of beam index i - L1-RSRP ground truth value of beam index i. Wherein, index i is the beam index ranked first in the report.

[0315] In some embodiments, the performance metric for the relative prediction accuracy of L1-RSRP can be defined as:

[0316] Predicted relative RSRP accuracy = (L1-RSRP predicted value of beam index i - L1-RSRP predicted value of beam index j) - (L1-RSRP ground truth value of beam index i - L1-RSRP ground truth value of beam index j). Where beam index i is the first beam index listed in the report, and beam index j is another beam index in the report.

[0317] In some embodiments, this disclosure proposes a two-level accuracy verification method based on the top K ranked predictions L1-RSRP (Top-K ranking) in the prediction results.

[0318] Optionally, absolute RSRP accuracy verification (Predicted_L1-RSRPi-GT_L1-RSRPi) is performed on the first ranked beam. Wherein, Predicted_L1-RSRPi is the L1-RSRP predicted value of beam index i, and GT_L1-RSRPi is the ground truth L1-RSRP value of beam index i.

[0319] Optionally, relative differential RSRP accuracy verification ((ΔPred_RSRPi-j)-(ΔGT_RSRPi-j)) is adopted for the beams ranked 2nd to K-th. Wherein, ΔPred_RSRPi-j is the difference between the L1-RSRP prediction value of beam index i and the L1-RSRP prediction value of beam index j, and ΔGT_RSRPi-j is the difference between the L1-RSRP ground truth value of beam index i and the L1-RSRP ground truth value of beam index j. Wherein, index i is the beam index ranked first in the report, and beam index j is another beam index in the report.

[0320] In some embodiments, two-stage configuration and verification are adopted, specifically:

[0321] In the first stage, the UE predicts and reports the RSRP and beam indices of the top-K beams;

[0322] In the second stage, the NW or TE configures the UE to measure the RSRP ground truth values of the beams reported in the first stage, report the measured RSRP ground truth values, and compare them with the RSRP prediction values reported in the first stage.

[0323] In some embodiments, the ground truth reference is established through repeated measurements under high SNR conditions (the second stage in the above embodiments).

[0324] In some embodiments, the test equipment (TE) adopts static threshold verification (for example, if the passing rate of multiple verification results is greater than a%, the test passes).

[0325] In some embodiments, the network device (NW) implements dynamic model management (for example, when multiple verification results are less than b%, model switching is triggered).

[0326] As shown in Figure 5, for AI-based RSRP prediction accuracy, the test process or performance monitoring process may include the following steps:

[0327] S1: The NW or TE configures the UE to report K beam indices and report the corresponding K RSRPs for set A.

[0328] S2: The NW or TE sends multiple RSs for all beams in set B.

[0329] S3: The UE measures the L1 RSRP of all beams in set B.

[0330] S4: The UE predicts the L1-RSRP of the beams in set A, and sorts the predicted RSRP. The UE first finds the maximum L1-RSRP, and then calculates the differential L1 RSRP.

[0331] Differential RSRP = Absolute RSRP of beam index #i - Absolute RSRP of beam index #j, where beam index #i has the largest L1-RSRP.

[0332] S5: The UE will report the K largest beam indices and K corresponding RSRPs in sequence.

[0333] In some embodiments, it is assumed that the reported beam index set is {#10, #3, #6, #8}. For beam index #10, which has the largest predicted L1-RSRP, the UE will report the absolute RSRP. Optionally, the maximum RSRP value is quantized as a 7-bit value in the range [-140, -44] dBm with a step size of 1 dB. For beam indices {#3, #6, #8}, the UE will report the differential RSRP. Optionally, the differential RSRP is quantized as a 4-bit value with a step size of 2 dB.

[0334] S6: NW or TE will configure the beam index reported in UE measurement step S5, i.e., the beam index set {#10, #3, #6, #8}, and report the measured RSRP.

[0335] S7: NW or TE will send multiple RS to the beams in the beam index set reported in step S5 under high signal-to-noise ratio conditions.

[0336] S8: The UE will measure the L1-RSRP of K beams under high signal-to-noise ratio and use it as the ground true RSRP corresponding to the K beams.

[0337] S9: The UE will report K L1-RSRPs to the TE or NW.

[0338] In some embodiments, K=1, that is: if the index of the beam corresponding to the maximum value in the predicted L1-RSRP is reported in step S5, then the UE reports one L1-RSRP to the TE or NW.

[0339] In some embodiments, K=2, that is, the index of the beam corresponding to the maximum value in the predicted L1-RSRP (e.g., denoted as beam index #1), and the index of the beam corresponding to the first L1-RSRP after the maximum value (e.g., denoted as beam index #2), then the UE reports 2 L1-RSRPs to the TE or NW.

[0340] Optionally, if the measurement L1-RSRP corresponding to beam index #1 (e.g., denoted as L1-RSRP#1) is greater than the measurement L1-RSRP corresponding to beam index #2 (e.g., denoted as L1-RSRP#2), then L1-RSRP#1, as well as the difference L1-RSRP between L1-RSRP#1 and L1-RSRP#2 (which can correspond to the fourth L1-RSRP mentioned above), are reported.

[0341] Optionally, if the measurement L1-RSRP corresponding to beam index #1 (e.g., denoted as L1-RSRP#1) is less than the measurement L1-RSRP corresponding to beam index #2 (e.g., denoted as L1-RSRP#2), then L1-RSRP#2, as well as the difference L1-RSRP between L1-RSRP#1 and L1-RSRP#2 (which can correspond to the fourth L1-RSRP mentioned above), are reported.

[0342] S10: Compare the predicted RSRP in step S5 with the measured RSRP in step S9.

[0343] In some embodiments, S10 may include: calculating the absolute accuracy of the predicted L1-RRP (e.g., beam index #1 in the above embodiments) corresponding to the first beam index reported in step S5 and the ground truth L1-RSRP of the same beam index reported in step S9.

[0344] In some embodiments, if the predicted L1-RSRP accuracy meets the following requirement: |Reported Predicted RSRP – Measured Ground True RSRP| ≤ P1 + Y, then: count 1 (correct), otherwise count 0 (failure). Wherein, P1 is a preset absolute accuracy quantization margin, and Y is the accuracy requirement threshold.

[0345] In some embodiments, K = 2, and if the beam index corresponding to the maximum value of the two L1-RSRPs reported in step S9 is the same as the first beam index reported in step S5, then if the predicted L1-RSRP accuracy meets the following requirement: |reported predicted RSRP – measured true ground RSRP| ≤ P1 + Y, then: count 1 (correct), otherwise count 0 (failure). Wherein, P1 is a preset absolute accuracy quantization margin, and Y is the accuracy requirement threshold.

[0346] In some embodiments, the above process will be repeated multiple times, assuming there are M reports. If the process is used for TE performance verification, and the accuracy rate is greater than a%, the TE assumes the AI ​​model has passed the test. If the process is used for NW performance monitoring, and the accuracy rate is less than b%, the NW assumes the AI ​​model is not suitable for the current scenario and will send a command to the UE to switch models or fall back to non-AI mode.

[0347] In some embodiments, K = 2, and if the beam index corresponding to the maximum value of the two L1-RSRPs reported in step S9 is different from the first beam index reported in step S5, then if the predicted L1-RSRP accuracy meets the following requirement: ground truth value of RSRP of beam index i – ground truth value of differential RSRP of the first-ranked beam index – Y – P2 ≤ maximum value of the reported predicted RSRP ≤ ground truth value of RSRP of beam index i – ground truth value of differential RSRP of the first-ranked beam index + Y + P3, then: count 1 (correct), otherwise count 0 (failure). Alternatively, if Y – P2 ≤ maximum value of the reported predicted RSRP – (ground truth value of RSRP of beam index i – ground truth value of differential RSRP of the first-ranked beam index) ≤ Y + P3, then: count 1 (correct), otherwise count 0 (failure).

[0348] Wherein, the RSRP ground truth value of beam index i is the maximum of the two measured RSRP ground truth values, and i is the reported second-ranked beam index. The reported differential RSRP ground truth value of the first-ranked beam index = RSRP ground truth value of beam index i - RSRP ground truth value of the first-ranked beam index. P2 is a preset first relative accuracy quantization margin, P3 is a preset second relative accuracy quantization margin, and Y is the accuracy requirement threshold. P2 and P3 can be the same or different.

[0349] Optionally, in step S9, if K = 2, that is, the index of the beam corresponding to the maximum value in the predicted L1-RSRP (e.g., denoted as beam index #1), and the index of the beam corresponding to the first L1-RSRP after the maximum value (e.g., denoted as beam index #2), and the measured L1-RSRP corresponding to beam index #1 (e.g., denoted as L1-RSRP #1) is less than the measured L1-RSRP corresponding to beam index #2 (e.g., denoted as L1-RSRP #2), then the UE reports L1-RSRP #2 and the differential L1-RSRP between L1-RSRP #1 and L1-RSRP #2 to the TE or NW. If the accuracy of the predicted L1-RSRP meets the following requirement: L1-RSRP #2 – differential L1-RSRP – Y – P2 ≤ maximum value in the reported predicted RSRP ≤ L1-RSRP #2 – differential L1-RSRP + Y + P3, then: count 1 (correct), otherwise count 0 (failure).

[0350] Alternatively, if Y-P2 ≤ the maximum value of the predicted RSRP in the report - (L1-RSRP#2 – differential L1-RSRP) ≤ Y+P3, then: count 1 (correct), otherwise count 0 (failure). Where, differential L1-RSRP = L1-RSRP#2 - L1-RSRP#1. P2 is the preset first relative precision quantization margin, P3 is the preset second relative precision quantization margin, and Y is the precision requirement threshold.

[0351] In some embodiments, the above process will be repeated multiple times, assuming there are M reports. If the process is used for TE performance verification, and the accuracy rate is greater than a%, the TE assumes the AI ​​model has passed the test. If the process is used for NW performance monitoring, and the accuracy rate is less than b%, the NW assumes the AI ​​model is not suitable for the current scenario and will send a command to the UE to switch models or fall back to non-AI mode.

[0352] This disclosure also provides an apparatus for implementing any of the above methods. For example, an apparatus is provided that includes units or modules for implementing the steps performed by the terminal in any of the above methods. Alternatively, another apparatus is provided that includes units or modules for implementing the steps performed by a network device (e.g., an access network device, a core network functional node, a core network device, etc.) in any of the above methods.

[0353] Figure 6a is a schematic diagram of the structure of the first device proposed in an embodiment of this disclosure. As shown in Figure 6a, the first device may include at least one of a transceiver module 611, a processing module 612, etc.

[0354] In some embodiments, the transceiver module 611 is used to receive first information sent by the terminal, the first information including: Layer 1 Reference Signal Received Power (L1-RSRP); the processing module 612 is used to verify the accuracy of L1-RSRP based on a threshold; wherein, L1-RSRP includes a first L1-RSRP, the first L1-RSRP being the maximum value among multiple L1-RSRPs predicted by the terminal based on an artificial intelligence (AI) model.

[0355] In some embodiments, the L1-RSRP further includes a second L1-RSRP, which includes the difference between the first L1-RSRP and a non-maximum value among a plurality of L1-RSRPs.

[0356] In some embodiments, the first information further includes: beam indices corresponding to L1-RSRPs respectively; the transceiver module 611 is further configured to: send second information to the terminal based on the first information, and receive third information sent by the terminal; wherein, the second information is used to configure the beam corresponding to the measured beam index of the terminal, and to configure the reported measured L1-RSRP and the beam index corresponding to the measured L1-RSRP; the third information includes the measurement result. In this embodiment, the processing module 612 is specifically configured to: verify the accuracy of the first L1-RSRP based on the threshold and the measurement result.

[0357] In some embodiments, if the L1-RSRP is a first L1-RSRP, the second information configuration terminal measures the first beam corresponding to the first L1-RSRP; the measurement result includes the index of the third L1-RSRP and the first beam.

[0358] In some embodiments, if L1-RSRP includes a first L1-RSRP and a second L1-RSRP, the second information configuration terminal measures the second beam and the first beam corresponding to the first L1-RSRP, wherein the second beam is the beam corresponding to the non-maximum value; the measurement results include: a third L1-RSRP, a fourth L1-RSRP, the beam index corresponding to the third L1-RSRP and the beam index corresponding to the fourth L1-RSRP;

[0359] The third L1-RSRP is the maximum value among the measured L1-RSRPs;

[0360] The beam index corresponding to the third L1-RSRP is determined to be the same as the index of the first beam. The fourth L1-RSRP is the difference between the third L1-RSRP and the L1-RSRP obtained by measuring the second beam.

[0361] The beam index corresponding to the fourth L1-RSRP is determined to be the same as the index of the first beam. The fourth L1-RSRP is the difference between the third L1-RSRP and the L1-RSRP obtained by measuring the first beam.

[0362] In some embodiments, the processing module 612 is specifically used to: verify the accuracy of the first L1-RSRP based on a threshold, a third L1-RSRP, and a preset absolute precision quantization margin.

[0363] In some embodiments, the processing module 612 is specifically used for:

[0364] The index of the beam corresponding to the third L1-RSRP is determined to be the same as the index of the first beam. Based on the threshold, the third L1-RSRP, and the preset absolute precision quantization margin, the accuracy of the first L1-RSRP is verified; or,

[0365] The index of the beam corresponding to the fourth L1-RSRP is determined to be the same as that of the first beam. Based on the threshold, the third L1-RSRP and the fourth L1-RSRP, as well as the preset relative accuracy quantization margin, the accuracy of the first L1-RSRP is verified.

[0366] In some embodiments, when the processing module 612 verifies the accuracy of the first L1-RSRP based on a threshold, a third L1-RSRP, and a preset absolute precision quantization margin, it is used to: determine that the absolute value of the difference between the first L1-RSRP and the third L1-RSRP is less than or equal to the sum of the threshold and the preset absolute precision quantization margin, and the accuracy verification of the first L1-RSRP is passed.

[0367] In some embodiments, when the processing module 612 verifies the accuracy of the first L1-RSRP based on the threshold, the third L1-RSRP, the fourth L1-RSRP, and the preset relative accuracy quantization margin, it is used to: determine that the first L1-RSRP simultaneously satisfies the lower limit condition and the upper limit condition, and the accuracy verification of the first L1-RSRP is passed.

[0368] Optionally, the lower limit condition is: the first L1-RSRP is greater than or equal to the difference between the third L1-RSRP and the fourth L1-RSRP minus the sum of the threshold and the first relative precision quantization margin;

[0369] Optionally, the upper limit condition is: the first L1-RSRP is less than or equal to the difference between the third L1-RSRP and the fourth L1-RSRP plus the threshold and the second relative precision quantization margin.

[0370] In some embodiments, the step of determining the receipt of the first information and the step of performing accuracy verification based on the threshold are repeated N times, where N is an integer greater than 1; the processing module 612 is further configured to perform one of the following:

[0371] Determine if the percentage of successful accuracy verifications relative to N meets the condition, confirm that the AI ​​model passes the test, and / or, do not switch the AI ​​model;

[0372] If the percentage of successful accuracy verifications relative to N does not meet the criteria, the AI ​​model is deemed to have failed the test, and / or, the AI ​​model is switched.

[0373] If the percentage of successful accuracy verifications relative to N is not met, the AI ​​model is deemed to have failed the test, and / or, the system is reverted to non-AI mode.

[0374] In some embodiments, the transceiver module 611 is further configured to: send fourth information to the terminal, the fourth information being configured to configure the terminal to predict the L1-RSRP corresponding to at least one beam, and to configure the terminal to report the predicted L1-RSRP and the beam index corresponding to the predicted L1-RSRP.

[0375] Optionally, the transceiver module 611 is used to execute the steps related to transmitting and receiving signaling executed by the first device in any of the above methods, such as at least one of steps S200, S202, S203, and S204 shown in FIG2, which will not be described in detail here.

[0376] Optionally, the transceiver module 611 is also used to perform the communication-related steps performed by the first device in any of the above methods, such as step S203 shown in FIG2, which will not be described in detail here.

[0377] Optionally, the processing module 612 is used to execute the information processing-related steps performed by the first device in any of the above methods, such as at least one of steps S205 and S206 shown in FIG2, which will not be described in detail here.

[0378] Figure 6b is a schematic diagram of the structure of a terminal according to an embodiment of this disclosure. As shown in Figure 6b, the terminal includes at least one of a transceiver module 621, a processing module 622, etc.

[0379] In some embodiments, the transceiver module 621 is used to send first information to the first device. The first information includes: Layer 1 Reference Signal Received Power (L1-RSRP); wherein, L1-RSRP includes a first L1-RSRP, and the first L1-RSRP is the maximum value among multiple L1-RSRPs predicted by the terminal based on an artificial intelligence (AI) model.

[0380] In some embodiments, the L1-RSRP further includes a second L1-RSRP, which includes the difference between the first L1-RSRP and a non-maximum value among a plurality of L1-RSRPs.

[0381] In some embodiments, the first information further includes: a beam index corresponding to the L1-RSRP; the transceiver module 621 is further configured to: receive second information sent by the first device based on the first information, the second information being configured to configure the terminal to measure the beam corresponding to the beam index, and to configure the terminal to report the measured L1-RSRP and the beam index corresponding to the measured L1-RSRP; the processing module 622 is configured to: measure the beam corresponding to the beam index based on the second information to obtain a measurement result; the transceiver module 621 is further configured to: send third information to the first device, the third information including the measurement result.

[0382] In some embodiments, if the L1-RSRP is a first L1-RSRP, the second information configuration terminal measures the first beam corresponding to the first L1-RSRP; the measurement result includes the index of the third L1-RSRP and the first beam.

[0383] In some embodiments, if L1-RSRP includes a first L1-RSRP and a second L1-RSRP, the second information configuration terminal measures the second beam and the first beam corresponding to the first L1-RSRP, wherein the second beam is the beam corresponding to the non-maximum value; the measurement results include: a third L1-RSRP and a fourth L1-RSRP, the beam index corresponding to the third L1-RSRP and the beam index corresponding to the fourth L1-RSRP;

[0384] Among them, the third L1-RSRP is the maximum value of the L1-RSRP obtained from the measurement beam;

[0385] The beam index corresponding to the third L1-RSRP is determined to be the same as the index of the first beam. The fourth L1-RSRP is the difference between the third L1-RSRP and the L1-RSRP obtained by measuring the second beam.

[0386] The beam index corresponding to the fourth L1-RSRP is determined to be the same as the index of the first beam. The fourth L1-RSRP is the difference between the third L1-RSRP and the L1-RSRP obtained by measuring the first beam.

[0387] In some embodiments, the transceiver module 621 is further configured to: receive fourth information sent by the first device, the fourth information being configured to configure the terminal to predict the L1-RSRP corresponding to at least one beam, and to configure the terminal to report the predicted L1-RSRP and the beam index corresponding to the predicted L1-RSRP; the processing module 622 is further configured to: predict the L1-RSRP corresponding to at least one beam based on an AI model.

[0388] Optionally, the transceiver module 621 is used to execute the steps related to sending and receiving signaling or communicating performed by the terminal in any of the above methods, such as at least one of steps S200, S202, S203, and S204 shown in Figure 2, which will not be described in detail here.

[0389] Optionally, the processing module 622 is also used to execute the information processing-related steps performed by the terminal in any of the above methods, such as step S201 shown in Figure 2, which will not be described again here.

[0390] It should be understood that the division of units or modules in the above device is only a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, the units or modules in the device can be implemented by a processor calling software: for example, the device includes a processor connected to a memory containing instructions. The processor calls the instructions stored in the memory to implement any of the above methods or to implement the functions of the units or modules in the above device. The processor can be, for example, a general-purpose processor, such as a Central Processing Unit (CPU) or a microprocessor, and the memory can be internal or external to the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits. The functions of some or all of the units or modules can be achieved through the design of the hardware circuits. The aforementioned hardware circuits can be understood as one or more processors. For example, in one implementation, the aforementioned hardware circuit is an application-specific integrated circuit (ASIC). The functions of some or all of the aforementioned units or modules are achieved through the design of the logical relationships between the components within the circuit. As another example, in another implementation, the aforementioned hardware circuit can be implemented through a programmable logic device (PLD). Taking a field-programmable gate array (FPGA) as an example, it can include a large number of logic gates. The connection relationships between the logic gates are configured through configuration files, thereby achieving the functions of some or all of the aforementioned units or modules.

[0391] All units or modules of the above devices can be implemented entirely through processor-invoked software, entirely through hardware circuits, or partially through processor-invoked software with the remainder implemented through hardware circuits. In this embodiment, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction read and execute capabilities, such as a Central Processing Unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationships of hardware circuits. These logical relationships are fixed or reconfigurable. For example, the processor may be a hardware circuit implemented using an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and configuring the hardware circuit can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be hardware circuits designed for artificial intelligence, which can be understood as ASICs, such as Neural Network Processing Units (NPUs), Tensor Processing Units (TPUs), and Deep Learning Processing Units (DPUs).

[0392] Figure 7a is a schematic diagram of the structure of the communication device 7100 proposed in an embodiment of this disclosure. The communication device 7100 can be a network device (e.g., access network device, core network device, etc.), a terminal (e.g., user equipment, etc.), a chip, chip system, or processor that supports the network device in implementing any of the above methods, or a chip, chip system, or processor that supports the terminal in implementing any of the above methods. The communication device 7100 can be used to implement the methods described in the above method embodiments; for details, please refer to the descriptions in the above method embodiments.

[0393] As shown in Figure 7a, the communication device 7100 includes one or more processors 7101. The processor 7101 can be a general-purpose processor or a dedicated processor, such as a baseband processor or a central processing unit (CPU). The baseband processor can be used to process communication protocols and communication data, while the CPU can be used to control communication devices (e.g., base stations, baseband chips, terminal devices, terminal device chips, DUs or CUs, etc.), execute programs, and process program data. The processor 7101 is used to invoke instructions to cause the communication device 7100 to execute any of the above methods.

[0394] In some embodiments, the communication device 7100 further includes one or more transceivers 7103. When the communication device 7100 includes one or more transceivers 7103, the transceiver 7103 performs at least one of the communication steps such as sending and / or receiving in the above-described method (e.g., at least one of steps S200, S202, S203, and S204 shown in FIG. 2, but not limited thereto), and the processor 7101 performs at least one of other steps (e.g., at least one of steps S201, S205, and S206 shown in FIG. 2, but not limited thereto). In optional embodiments, the transceiver may include a receiver and / or a transmitter, which may be separate or integrated together. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, interface, etc., can be used interchangeably; the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc., can be used interchangeably; and the terms receiver, receiving unit, receiver, receiving circuit, etc., can be used interchangeably.

[0395] In some embodiments, the communication device 7100 further includes one or more memories 7102 for storing instructions. Optionally, all or part of the memories 7102 may also be located outside the communication device 7100.

[0396] In some embodiments, a transceiver may include a receiver and a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, etc., may be used interchangeably; the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc., may be used interchangeably; and the terms receiver, receiving unit, receiver, receiving circuit, etc., may be used interchangeably.

[0397] Optionally, the communication device 7100 further includes one or more interface circuits 7104, which are connected to the memory 7102. The interface circuits 7104 can be used to receive signals from the memory 7102 or other devices, and can be used to send signals to the memory 7102 or other devices. For example, the interface circuits 7104 can read instructions stored in the memory 7102 and send the instructions to the processor 7101.

[0398] The communication device 7100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 7100 described in this disclosure is not limited thereto, and the structure of the communication device 7100 may not be limited by FIG. 7a. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: (1) an independent integrated circuit IC, or chip, or chip system or subsystem; (2) a collection of one or more ICs, optionally, the IC collection may also include storage components for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, terminal device, smart terminal device, cellular phone, wireless device, handheld device, mobile unit, vehicle device, network device, cloud device, artificial intelligence device, etc.; (6) others, etc.

[0399] Figure 7b is a schematic diagram of the structure of the chip 7200 proposed in an embodiment of this disclosure. For cases where the communication device 7100 can be a chip or a chip system, please refer to the schematic diagram of the chip 7200 shown in Figure 7b, but it is not limited thereto.

[0400] Chip 7200 includes one or more processors 7201. Chip 7200 is used to perform any of the above methods.

[0401] In some embodiments, chip 7200 further includes one or more interface circuits 7202. Optionally, terms such as interface circuit, interface, and transceiver pin can be used interchangeably. In some embodiments, chip 7200 further includes one or more memories 7203 for storing data. Optionally, all or part of the memories 7203 may be located outside of chip 7200. Optionally, interface circuit 7202 is connected to memory 7203, and interface circuit 7202 can be used to receive data from memory 7203 or other devices, and interface circuit 7202 can be used to send data to memory 7203 or other devices. For example, interface circuit 7202 can read data stored in memory 7203 and send the data to processor 7201.

[0402] In some embodiments, the interface circuit 7202 performs at least one of the communication steps such as sending and / or receiving in the above-described method (e.g., at least one of steps S200, S202, S203, and S204 shown in FIG. 2, but not limited thereto). The interface circuit 7202 performing the communication steps such as sending and / or receiving in the above-described method refers, for example, to the interface circuit 7202 performing data interaction between the processor 7201, the chip 7200, the memory 7203, or the transceiver device. In some embodiments, the processor 7201 performs at least one of other steps (e.g., at least one of steps S201, S205, and S206 shown in FIG. 2, but not limited thereto).

[0403] This disclosure also provides a program product that, when executed by the communication device 7100, causes the communication device 7100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0404] This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

[0405] The technical solutions described in the embodiments of this disclosure can be combined arbitrarily without conflict.

[0406] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the following claims.

[0407] It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. An information processing method, characterized in that, The method is performed by a first device, and the method includes: The receiving terminal sends first information, which includes: Layer 1 Reference Signal Received Power L1-RSRP; The accuracy of the L1-RSRP is verified based on the threshold. The L1-RSRP includes a first L1-RSRP, which is the maximum value among multiple L1-RSRPs predicted by the terminal based on an artificial intelligence (AI) model.

2. The method according to claim 1, characterized in that, The L1-RSRP further includes a second L1-RSRP, which includes the difference between the first L1-RSRP and the non-maximum value among the plurality of L1-RSRPs.

3. The method according to claim 1 or 2, characterized in that, The first information also includes: the beam index corresponding to the L1-RSRP; The method further includes: Based on the first information, second information is sent to the terminal. The second information is used to configure the terminal to measure the beam corresponding to the beam index, and to configure the terminal to report the measured L1-RSRP and the beam index corresponding to the measured L1-RSRP. Receive third information sent by the terminal, the third information including measurement results; The threshold-based verification of the accuracy of the L1-RSRP includes: Based on the threshold and the measurement results, the accuracy of the first L1-RSRP is verified.

4. The method according to claim 3, characterized in that, If the L1-RSRP is a first L1-RSRP, then the second information configures the terminal to measure the first beam corresponding to the first L1-RSRP; The measurement results include the index of the third L1-RSRP and the index of the first beam.

5. The method according to claim 3, characterized in that, If the L1-RSRP includes a first L1-RSRP and a second L1-RSRP, then the second information configures the terminal to measure the second beam and the first beam corresponding to the first L1-RSRP, wherein the second beam is the beam corresponding to the non-maximum value; The measurement results include: the third L1-RSRP, the fourth L1-RSRP, the beam index corresponding to the third L1-RSRP, and the beam index corresponding to the fourth L1-RSRP; Wherein, the third L1-RSRP is the maximum value among the measured L1-RSRP; The beam index corresponding to the third L1-RSRP is determined to be the same as the index of the first beam, and the fourth L1-RSRP is the difference between the third L1-RSRP and the L1-RSRP obtained by measuring the second beam. The beam index corresponding to the fourth L1-RSRP is determined to be the same as the index of the first beam. The fourth L1-RSRP is the difference between the third L1-RSRP and the L1-RSRP obtained by measuring the first beam.

6. The method according to claim 4, characterized in that, The step of verifying the accuracy of the first L1-RSRP based on the threshold and the measurement result includes: Based on the threshold, the third L1-RSRP, and the preset absolute precision quantization margin, the accuracy of the first L1-RSRP is verified.

7. The method according to claim 5, characterized in that, The step of verifying the accuracy of the first L1-RSRP based on the threshold and the measurement result includes: Determine that the beam index corresponding to the third L1-RSRP is the same as the index of the first beam. Based on the threshold, the third L1-RSRP, and a preset absolute precision quantization margin, verify the accuracy of the first L1-RSRP; or, The beam index corresponding to the fourth L1-RSRP is determined to be the same as the index of the first beam. Based on the threshold, the third L1-RSRP, the fourth L1-RSRP, and the preset relative accuracy quantization margin, the accuracy of the first L1-RSRP is verified.

8. The method according to claim 6 or 7, characterized in that, The step of verifying the accuracy of the first L1-RSRP based on the threshold, the third L1-RSRP, and a preset absolute precision quantization margin includes: If the absolute value of the difference between the first L1-RSRP and the third L1-RSRP is less than or equal to the sum of the threshold and the preset absolute precision quantization margin, the accuracy verification of the first L1-RSRP is passed.

9. The method according to claim 7, characterized in that, The step of verifying the accuracy with the first L1-RSRP based on the threshold, the third L1-RSRP, the fourth L1-RSRP, and a preset relative accuracy quantization margin includes: If the first L1-RSRP satisfies both the lower and upper limits, the accuracy verification of the first L1-RSRP is passed. The lower limit condition is: the first L1-RSRP is greater than or equal to the difference between the third L1-RSRP and the fourth L1-RSRP minus the sum of the threshold and the first relative precision quantization margin; The upper limit condition is: the first L1-RSRP is less than or equal to the difference between the third L1-RSRP and the fourth L1-RSRP plus the sum of the threshold and the second relative precision quantization margin.

10. The method according to claim 8 or 9, characterized in that, The step of determining whether to receive the first information and the step of performing accuracy verification based on a threshold are repeated N times, where N is an integer greater than 1; the method further includes one of the following: If the percentage of the number of times the accuracy verification passes relative to N meets the condition, the AI ​​model is determined to pass the test, and / or the AI ​​model is not switched; If the percentage of the number of times the accuracy verification passes relative to N does not meet the condition, the AI ​​model is determined to have failed the test, and / or the AI ​​model is switched. If the percentage of the number of times the accuracy verification passed is not met relative to N, the AI ​​model is determined to have failed the test, and / or, it is reverted to non-AI mode.

11. The method according to any one of claims 1-10, characterized in that, The method further includes: The terminal sends a fourth message, which is used to configure the terminal to predict the L1-RSRP corresponding to at least one beam. The fourth message is also used to configure the terminal to report the predicted L1-RSRP and the beam index corresponding to the predicted L1-RSRP.

12. An information processing method, characterized in that, The method is executed by a terminal, and the method includes: Send first information to the first device, the first information including: Layer 1 Reference Signal Received Power L1-RSRP; The L1-RSRP is obtained based on predictions from an artificial intelligence (AI) model. The L1-RSRP includes a first L1-RSRP, which is the maximum value among multiple L1-RSRPs predicted by the terminal based on an artificial intelligence (AI) model.

13. The method according to claim 12, characterized in that, The L1-RSRP further includes a second L1-RSRP, which includes the difference between the first L1-RSRP and the non-maximum value among the plurality of L1-RSRPs.

14. The method according to claim 12 or 13, characterized in that, The first information also includes: the beam index corresponding to the L1-RSRP; The method further includes: The terminal receives second information sent by the first device based on the first information. The second information is used to configure the terminal to measure the beam corresponding to the beam index and to configure the terminal to report the measured L1-RSRP and the beam index corresponding to the measured L1-RSRP. Based on the second information, the beam corresponding to the beam index is measured to obtain the measurement result; Send a third message to the first device, the third message including the measurement result.

15. The method according to claim 14, characterized in that, If the L1-RSRP is a first L1-RSRP, then the second information configures the terminal to measure the first beam corresponding to the first L1-RSRP; The measurement results include the index of the third L1-RSRP and the index of the first beam.

16. The method according to claim 14, characterized in that, If the L1-RSRP includes a first L1-RSRP and a second L1-RSRP, then the second information configures the terminal to measure the second beam and the first beam corresponding to the first L1-RSRP, wherein the second beam is the beam corresponding to the non-maximum value; The measurement results include: the third L1-RSRP and the fourth L1-RSRP, the beam index corresponding to the third L1-RSRP and the beam index corresponding to the fourth L1-RSRP; Wherein, the third L1-RSRP is the maximum value of the L1-RSRP obtained by measuring the beam; The beam index corresponding to the third L1-RSRP is determined to be the same as the index of the first beam, and the fourth L1-RSRP is the difference between the third L1-RSRP and the L1-RSRP obtained by measuring the second beam. The beam index corresponding to the fourth L1-RSRP is determined to be the same as the index of the first beam. The fourth L1-RSRP is the difference between the third L1-RSRP and the L1-RSRP obtained by measuring the first beam.

17. The method according to any one of claims 12-16, characterized in that, The method further includes: The terminal receives fourth information sent by the first device. The fourth information is used to configure the terminal to predict at least one L1-RSRP corresponding to a beam. The fourth information is also used to configure the terminal to report the predicted L1-RSRP and the beam index corresponding to the predicted L1-RSRP. The L1-RSRP corresponding to the at least one beam is predicted based on the AI ​​model.

18. A terminal, characterized in that, include: The transceiver module is used to send first information to the first device, the first information including: Layer 1 reference signal received power L1-RSRP; The L1-RSRP includes a first L1-RSRP; the first L1-RSRP is the maximum value among multiple L1-RSRPs predicted by the terminal based on an artificial intelligence (AI) model.

19. A first device, characterized in that, include: The transceiver module is used to receive first information sent by the terminal, the first information including: Layer 1 Reference Signal Received Power L1-RSRP; A processing module is used to verify the accuracy of the L1-RSRP based on a threshold. The L1-RSRP includes a first L1-RSRP, which is the maximum value among multiple L1-RSRPs predicted by the terminal based on an artificial intelligence (AI) model.

20. A communication device, characterized in that, include: One or more processors; The processor is used to perform the method of any one of claims 1 to 11, or any one of claims 12 to 17.

21. A communication system, characterized in that, include: A terminal and a first device, wherein the terminal is used to implement the method of any one of claims 12 to 17, and the first device is used to implement the method of any one of claims 1 to 11.

22. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores executable instructions that are loaded and executed by a processor to implement the method as claimed in any one of claims 1 to 11, or any one of claims 12 to 17.

23. A computer program, characterized in that, When the program is run on a computer, it causes the computer to perform the method as claimed in any one of claims 1 to 11, or any one of claims 12 to 17.

24. A computer program, characterized in that, When the program is run on a computer, it causes the computer to perform the method as described in any one of claims 1 to 11, or any one of claims 12 to 17.

25. A program product, characterized in that, When the program product is executed by a communication device, the communication device performs the method as claimed in any one of claims 1 to 11, or as claimed in any one of claims 12 to 17.

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