Communication method and device, and storage medium

Abstract

The present disclosure relates to a communication method and device, and a storage medium. The method comprises: a terminal device performs prediction on the basis of first information to obtain a path loss value between the terminal device and a network device. That is to say, the terminal device does not need to measure a downlink path loss reference signal, and performs prediction on the basis of the first information to obtain the path loss value between the terminal device and the network device, thereby reducing power consumption of the terminal device and saving electrical power.

Description

Communication methods, devices and storage media Technical Field

[0001] This disclosure relates to the field of communication technology, and in particular to a communication method, device and storage medium. Background Technology

[0002] Machine learning algorithms are one of the most important methods for implementing artificial intelligence (AI) technology. By learning from large amounts of training data, machine learning can produce AI models, which can then be used to predict events. In many fields, AI models trained using machine learning can achieve highly accurate predictions. In the field of communications, AI models can also be used to obtain predictive data for certain scenarios, thereby improving network performance.

[0003] Summary of the Invention

[0004] This disclosure provides a communication method, device, and storage medium.

[0005] According to a first aspect of the present disclosure, a communication method is provided, the method comprising:

[0006] The terminal device makes a prediction based on the first information to obtain the path loss value between the terminal device and the network device.

[0007] According to a second aspect of the present disclosure, a communication method is provided, the method comprising:

[0008] The network device sends second information to the terminal device. The second information is used to indicate the first transmission information. The first transmission information is the power value or signal strength value of the path loss reference signal PLRS sent by the network device. The first transmission information is used by the terminal device to predict the path loss value between the terminal device and the network device.

[0009] According to a third aspect of the embodiments of this disclosure, a terminal device is provided, comprising:

[0010] The processing module is configured to make a prediction based on the first information to obtain the path loss value between the terminal device and the network device.

[0011] According to a fourth aspect of the embodiments of this disclosure, a network device is provided, comprising:

[0012] The transceiver module is configured to send second information to a terminal device. The second information is used to indicate first transmission information. The first transmission information is the power value or signal strength value of the path loss reference signal (PLRS) sent by the network device. The first transmission information is used by the terminal device to predict the path loss value between the terminal device and the network device.

[0013] According to a fifth aspect of the embodiments of this disclosure, a communication device is provided, comprising:

[0014] One or more processors; wherein the communication device may be used to execute an optional implementation of the first aspect or the second aspect.

[0015] According to a sixth aspect of the present disclosure, a communication system is provided, including a terminal device and a network device, wherein the terminal device is configured to perform the method described in the optional implementation of the first aspect, and the network device is configured to perform the method described in the optional implementation of the second aspect.

[0016] According to a seventh aspect of the present disclosure, a storage medium is provided that stores instructions which, when executed on a communication device, cause the communication device to perform the method as described in an optional implementation of the first or second aspect.

[0017] The technical solution provided in this disclosure can produce the following beneficial effects: the terminal device predicts the path loss value between the terminal device and the network device based on the first information. In other words, the terminal device does not need to measure the downlink path loss reference signal; it can predict the path loss value between the terminal device and the network device based on the first information, thereby reducing the power consumption of the terminal device and saving electricity.

[0018] 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

[0019] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings required for the description of the embodiments are introduced below. The following drawings are only some embodiments of this disclosure and do not impose specific limitations on the protection scope of this disclosure.

[0020] Figure 1A is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure.

[0021] Figure 1B is a schematic diagram illustrating a measurement process according to an embodiment of the present disclosure.

[0022] Figure 1C is a schematic diagram illustrating a prediction process according to an embodiment of the present disclosure.

[0023] Figure 2A is an interactive schematic diagram of a communication method according to an embodiment of the present disclosure.

[0024] Figure 2B is a schematic diagram illustrating a model training according to an embodiment of the present disclosure.

[0025] Figure 2C is a schematic diagram illustrating a prediction process according to an embodiment of the present disclosure.

[0026] Figure 2D is a schematic diagram illustrating a prediction process according to an embodiment of the present disclosure.

[0027] Figure 3A is a flowchart illustrating a communication method according to an embodiment of the present disclosure.

[0028] Figure 3B is a flowchart illustrating a communication method according to an embodiment of the present disclosure.

[0029] Figure 3C is a flowchart illustrating a communication method according to an embodiment of the present disclosure.

[0030] Figure 3D is a flowchart illustrating a communication method according to an embodiment of the present disclosure.

[0031] Figure 3E is a flowchart illustrating a communication method according to an embodiment of the present disclosure.

[0032] Figure 4 is a flowchart illustrating a communication method according to an embodiment of the present disclosure.

[0033] Figure 5 is an interactive schematic diagram of a communication method according to an embodiment of the present disclosure.

[0034] Figure 6A is a schematic diagram of the structure of a terminal device proposed in an embodiment of this disclosure.

[0035] Figure 6B is a schematic diagram of the structure of a network device 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 a communication method, device, and storage medium.

[0039] In a first aspect, embodiments of this disclosure provide a communication method, the method comprising:

[0040] The terminal device makes a prediction based on the first information to obtain the path loss value between the terminal device and the network device.

[0041] In the above embodiments, the terminal device does not need to measure the downlink path loss reference signal. The path loss value between the terminal device and the network device is predicted based on the first information, thereby reducing the power consumption of the terminal device and saving power.

[0042] In conjunction with some embodiments of the first aspect, in some embodiments, the first information includes at least the following parameters:

[0043] The first transmission information is the power value or signal strength value of the path loss reference signal PLRS transmitted by the network device within a first time period, where the first time period is the time period before the current moment.

[0044] The first received information is the power value or signal strength value of the PL RS measured by the terminal device within the first time period;

[0045] The first beam index is the beam index value corresponding to the PL RS;

[0046] The first position of the terminal device at the current moment.

[0047] In the above embodiments, the terminal device can predict the path loss value between the terminal device and the network device based on at least one of the first transmission information, the first reception information, the first beam index, and the first location, thereby improving the efficiency of obtaining the path loss value.

[0048] In conjunction with some embodiments of the first aspect, in some embodiments, the terminal device predicts the path loss value between the terminal device and the network device based on the first information, including:

[0049] The first information is input into the first model to obtain the path loss value output by the first model, wherein the first model is an artificial intelligence (AI) / machine learning (ML) model.

[0050] In the above embodiments, the path loss value between the terminal device and the network device can be predicted by AI / ML model, making the method of obtaining the path loss value simpler.

[0051] In conjunction with some embodiments of the first aspect, in some embodiments, the first model is trained using first sample information, which includes at least the following parameters:

[0052] The second transmission information, the second reception information, the second beam index, and the second location of the terminal device are provided, wherein the second transmission information is the power value or signal strength value of the PL RS sent by the network device, the second reception information is the power value or signal strength value of the PL RS measured by the terminal device, and the second beam index is the beam index value corresponding to the PL RS.

[0053] In the above embodiments, a first model can be obtained by training the first sample information.

[0054] In conjunction with some embodiments of the first aspect, in some embodiments, the first sample information is information prior to the first information time period.

[0055] In the above embodiments, a first model can be trained based on the first sample information obtained before the first information.

[0056] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0057] The system receives second information sent by the network device, the second information being used to indicate the first transmission information.

[0058] In the above embodiments, the network device may send second information indicating the first transmission information to the terminal device.

[0059] In conjunction with some embodiments of the first aspect, in some embodiments, the uplink transmit power is determined based on the path loss value.

[0060] In the above embodiments, the terminal device can determine the uplink transmit power based on the path loss value, making the determination of the uplink transmit power more efficient.

[0061] Secondly, embodiments of this disclosure provide a communication method, the method comprising:

[0062] The network device sends second information to the terminal device. The second information is used to indicate the first transmission information. The first transmission information is the power value or signal strength value of the path loss reference signal PLRS sent by the network device. The first transmission information is used by the terminal device to predict the path loss value between the terminal device and the network device.

[0063] In conjunction with some embodiments of the second aspect, in some embodiments, the path loss value is used by the terminal device to determine the uplink transmit power.

[0064] Thirdly, embodiments of this disclosure provide a terminal device, which may include at least one of a transceiver module and a processing module; wherein the terminal device may be used to execute an optional implementation of the first aspect.

[0065] Fourthly, embodiments of this disclosure provide a network device that may include at least one of a transceiver module and a processing module; wherein the network device may be used to perform an optional implementation of the second aspect.

[0066] Fifthly, embodiments of this disclosure provide a terminal device that may include one or more processors; wherein the terminal device may be used to execute an optional implementation of the first aspect.

[0067] In a sixth aspect, embodiments of this disclosure provide a network device that may include one or more processors; wherein the network device may be used to perform an optional implementation of the second aspect.

[0068] In a seventh aspect, embodiments of this disclosure provide a communication system that may include: a terminal device and a network device; wherein the terminal device is configured to perform the method described in the optional implementation of the first aspect, and the network device is configured to perform the method described in the optional implementation of the second aspect.

[0069] 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 an optional implementation of the first or second aspect.

[0070] In a ninth aspect, 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 an optional implementation of the first or second aspect.

[0071] 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.

[0072] Eleventhly, embodiments of this disclosure provide a chip or chip system. The chip or chip system includes processing circuitry configured to perform the methods described in optional implementations of the first or second aspect.

[0073] It is understood that the aforementioned terminal devices, network devices, communication devices, communication systems, storage media, program products, computer programs, chips, or chip systems can all be used to execute the methods proposed in the embodiments of this disclosure. Therefore, the beneficial effects that can be achieved can be referred to the beneficial effects in the corresponding methods, and will not be repeated here.

[0074] This disclosure provides a communication method, device, and storage medium. In some embodiments, the terms "information transmission method" and "information processing method," "communication method," etc., can be used interchangeably; the terms "information transmission device" and "information processing device," "communication device," "communication equipment," etc., can be used interchangeably; and the terms "information processing system," "communication system," etc., can be used interchangeably.

[0075] This disclosure is not exhaustive, but merely illustrative of some embodiments, and is not intended to limit the scope of protection of this disclosure. Unless otherwise specified, each step in a particular embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged. Furthermore, the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined, for example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0076] 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.

[0077] The terminology used in the embodiments of this disclosure is for the purpose of describing particular embodiments only and is not intended to limit the scope of this disclosure.

[0078] 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.

[0079] In some embodiments, "multiple" can refer to two or more.

[0080] In some embodiments, the terms “at least one of”, “one or more”, “a plurality of”, “multiple”, etc., may be used interchangeably.

[0081] In some embodiments, the notation "at least one of A and B", "A and / or B", "A in one case, B in another", "in response to one case A, in response to another case B", etc., may include the following technical solutions depending on the situation: in some embodiments, A (execute A regardless of B); in some embodiments, B (execute B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, both A and B are executed. The same applies when there are more branches such as A, B, C, etc.

[0082] In some embodiments, the notation "A or B" may include the following technical solutions, depending on the situation: in some embodiments, A (execution of A regardless of B); in some embodiments, B (execution of B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The same applies when there are more branches such as A, B, C, etc.

[0083] The prefixes "first," "second," etc., used in the embodiments of this disclosure are merely for distinguishing different descriptive objects and do not impose restrictions on the position, order, priority, quantity, or content of the descriptive objects. The description of the descriptive objects is found in the claims or the context of the embodiments, and the use of prefixes should not constitute unnecessary restrictions. For example, if the descriptive object is a "field," the ordinal numbers preceding "field" in "first field" and "second field" do not restrict the position or order of the "fields." "First" and "second" do not restrict whether the "fields" they modify are in the same message, nor do they restrict the order of "first field" and "second field." Similarly, if the descriptive object is a "level," the ordinal numbers preceding "level" in "first level" and "second level" do not restrict the priority between "levels." Furthermore, the number of descriptive objects is not limited by ordinal numbers and can be one or more. For example, in "first device," the number of "devices" can be one or more. Furthermore, the objects modified by different prefixes can be the same or different. For example, if the object being described is "device", then "first device" and "second device" can be the same device or different devices, and their types can be the same or different. Similarly, if the object being described is "information", then "first information" and "second information" can be the same information or different information, and their content can be the same or different.

[0084] In some embodiments, “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0085] In some embodiments, the terms “in response to…”, “in response to determining…”, “in the case of…”, “when…”, “if…”, “if…”, etc., can be used interchangeably.

[0086] 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”.

[0087] In some embodiments, devices, etc., may be interpreted as physical or virtual, and their names are not limited to those described in the embodiments. Terms such as “device,” “equipment,” “circuit,” “network element,” “node,” “function,” “unit,” “section,” “system,” “network,” “chip,” “chip system,” “entity,” and “subject” are interchangeable.

[0088] In some embodiments, "network" can be interpreted as devices included in a network (e.g., access network devices, core network devices, etc.).

[0089] In some embodiments, the terms "Access Network Device (AN Device)," "Radio Access Network Device (RAN Device)," "Base Station (BS)," "Radio Base Station," "Fixed Station," "Node," "Access Point," "Transmission Point (TP)," "Reception Point (RP)," "Transmission / Reception Point (TRP)," "Panel," "Antenna Panel," "Antenna Array," "Cell," "Macro Cell," "Small Cell," "Femto Cell," "Pico Cell," "Sector," "Cell Group," "Serving Cell," "Carrier," "Component Carrier," and "Bandwidth Part (BWP)" can be used interchangeably.

[0090] 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.

[0091] In some embodiments, access network devices, core network devices, or network devices can be replaced with terminals. For example, embodiments of this disclosure can also be applied to structures where communication between access network devices, core network devices, or network devices and terminals is replaced with communication between multiple terminals (e.g., device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, the structure can also be configured such that the terminal has 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., "sidelink"). For example, uplink channel, downlink channel, etc., can be replaced with sidelink channel or direct channel, and uplink link, downlink, etc., can be replaced with sidelink link or direct link.

[0092] In some embodiments, the terminal may be replaced by an access network device, a core network device, or a network device. In this case, the access network device, core network device, or network device may also be configured to have all or some of the functions of the terminal.

[0093] In some embodiments, the acquisition of data, information, etc., may comply with the laws and regulations of the country where the location is situated.

[0094] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0095] Furthermore, each element, each row, or each column in the table of this disclosure can be implemented as an independent embodiment, and any combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0096] Figure 1A is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure. As shown in Figure 1A, the communication system 100 may include a terminal device 101 and a network device 102.

[0097] In some embodiments, terminal device 101 may include 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, but is not limited thereto.

[0098] In some embodiments, network device 102 may include at least one of access network device and core network device.

[0099] In some embodiments, the access network device may be a node or device that connects a terminal device to a wireless network. The access network device may include, but is not limited to, at least one of the following in a 5G communication system: evolved Node B (eNB), next-generation eNB (ng-eNB), next-generation Node B (gNB), node B (NB), home node B (HNB), home evolved node B (HeNB), radio backhaul device, radio network controller (RNC), base station controller (BSC), base transceiver station (BTS), base band unit (BBU), mobile switching center, base station in a 6G communication system, open RAN, cloud RAN, base station in other communication systems, and access node in a Wi-Fi system.

[0100] In some embodiments, the technical solutions of this disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within access network devices involved in the embodiments of this disclosure can be transformed into internal interfaces of Open RAN. The processes and information interactions between these internal interfaces can be implemented by software or programs.

[0101] In some embodiments, the access network device may be composed of a central unit (CU) and a distributed unit (DU). The CU may also be called a control unit. The CU-DU structure can separate the protocol layer of the access network device. Some protocol layer functions are centrally controlled by the CU, while the remaining part or all protocol layer functions are distributed in the DU and centrally controlled by the CU. However, this is not the only possibility.

[0102] In some embodiments, the core network equipment may be a single device, multiple devices, or a group of devices. The core network may include at least one of the following: Evolved Packet Core (EPC), 5G Core Network (5GCN), and Next Generation Core (NGC).

[0103] 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.

[0104] The following embodiments of this disclosure can be applied to the communication system 100 shown in FIG1A, or to some of the main bodies, but are not limited thereto. The main bodies shown in FIG1A are examples. The communication system may include all or some of the main bodies in FIG1A, or it may include other main bodies outside of FIG1A. The number and form of each main body are arbitrary. Each main body may be physical or virtual. The connection relationship between the main bodies is an example. 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.

[0105] 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, systems utilizing other communication methods, and next-generation systems built upon them, etc. Furthermore, multiple systems can be combined (e.g., a combination of LTE or LTE-A with 5G).

[0106] In some embodiments of this disclosure, the 5G NR system introduces prediction based on Artificial Intelligence (AI) / Machine Learning (ML) models to simplify processes and improve performance in certain scenarios. One typical scenario is the uplink power control process. For example, in the traditional open-loop power control process, the UE determines the uplink transmission power according to the following formula:

[0107] P PRACH,b,f,c (i)=min{P CMAX,f,c (i),P PRACH,target,f,c +PL b,f,c [dBm] (1)

[0108] Among them, P PRACH,b,f,c (i) represents the UE's transmit power, b represents the ULBWP, f is the carrier frequency, and c is the serving cell; P CMAX,f,c (i) To configure the UE's maximum transmit power, the protocol value is defined in 38.101-1; P PRACH,target,f,c PL represents the received power of the target PRACH on the network side. b,f,c This represents the path loss value obtained by the UE based on DLRS measurements.

[0109] Path loss is the power pulsation (PL) value evaluated based on the signal strength of the downlink reference signal (SSB or CSI-RS) measured by the UE. Figure 1B is a schematic diagram of a measurement process according to an embodiment of this disclosure. As shown in Figure 1B, the UE needs to frequently measure the downlink PLRS, resulting in high power consumption. Furthermore, if the channel changes rapidly, the downlink measurement cannot accurately reflect the current PL value.

[0110] In some embodiments, to reduce downlink PLRS measurements and save power, a predicted PL value can be output based on the training and prediction of an AL / ML model. Figure 1C is a schematic diagram of a prediction process according to an embodiment of the present disclosure. As shown in Figure 1C, the UE can predict the PL value through AI, and then determine the uplink transmission power based on the predicted PL value.

[0111] Figure 2A is an interactive schematic diagram illustrating a communication method according to an embodiment of the present disclosure. This method can be executed by the aforementioned communication system. As shown in Figure 2A, the method may include:

[0112] Step S2101: The network device sends the second information to the terminal device.

[0113] In some embodiments, the terminal device may receive second information. For example, the terminal device may receive second information sent by a network device. As another example, the terminal device may also receive second information sent by other entities.

[0114] In some embodiments, the second information may be used to indicate the first transmission information.

[0115] In some embodiments, the first transmission information may be the power value or signal strength value of a path loss reference signal (PLRS) sent by the network device.

[0116] In some embodiments, "emission" may also be referred to as "sending".

[0117] In some embodiments, the PL RS can be a downlink reference signal, such as a synchronization signal block (SSB) and / or a channel state information reference signal (CSI-RS), which is not limited in this disclosure.

[0118] For example, the first transmission information could be the power value or signal strength value of the SSB, or, for another example, the first transmission information could be the power value or signal strength value of the CSI-RS.

[0119] In some embodiments, the first transmission information may be the power value or signal strength value of a PL RS, or it may include the power values ​​or signal strength values ​​of multiple PL RSs.

[0120] In some embodiments, if the first transmission information includes the power values ​​or signal strength values ​​of multiple PL RS, the network device may transmit the power values ​​or signal strength values ​​of the PL RS at different times according to the protocol.

[0121] In some embodiments, when a network device sends a PL RS to a terminal device, it may simultaneously send the second information to the terminal device.

[0122] In some embodiments, the network device may also send second information indicating the power value or signal strength value of the PLRS to the terminal device before or after sending the PLRS to the terminal device, and this disclosure does not limit this.

[0123] In some embodiments, the first transmission information can be used by the terminal device to predict the path loss value between the terminal device and the network device.

[0124] In some embodiments, the name of the first transmission information is not limited, and may be, for example, "first transmission power" or "first signal strength".

[0125] Step S2102: The terminal device inputs the first information into the first model and obtains the path loss value output by the first model.

[0126] In some embodiments, the first information may include at least the following parameters:

[0127] The first transmission information is the power value or signal strength value of the PL RS transmitted by the network device within a first time period, where the first time period is the time period before the current moment;

[0128] The first received information is the power value or signal strength value of the PL RS measured by the terminal device during the first time period;

[0129] The first beam index is the beam index value corresponding to the PL RS;

[0130] The current position of the terminal device.

[0131] In some embodiments, the first transmission information may be the power value or signal strength value of a PL RS received by the terminal device within the first time period. For example, the PL RS may be any PL RS received by the terminal device within the first time period, or, for another example, the PL RS may be the last PL RS received by the terminal device within the first time period, i.e., the last PL RS received by the terminal device before the current time.

[0132] In some embodiments, the first transmission information may be the power value or signal strength value of a plurality of PL RS received by the terminal device within the first time period. For example, the first transmission information may be the average power value or average signal strength value of the plurality of PL RS transmitted by the network device; or, for another example, the first transmission information may be the maximum power value or maximum signal strength value among the plurality of PL RS transmitted by the network device; or, for yet another example, the first transmission information may be the minimum power value or minimum maximum signal strength value among the plurality of PL RS transmitted by the network device.

[0133] In some embodiments, the terminal device may store each first transmission information received within the first time period.

[0134] In some embodiments, the terminal device may receive PL RS sent by the network device.

[0135] In some embodiments, the terminal device may measure the received PL RS to obtain the power value or signal strength value of the PL RS.

[0136] In some embodiments, the first received information may be the power value or signal strength value of a PL RS measured by the terminal device during the first time period. For example, the PL RS may be any PL RS received by the terminal device during the first time period, or, for another example, the PL RS may be the last PL RS received by the terminal device during the first time period, i.e., the last PL RS received by the terminal device before the current time.

[0137] In some embodiments, the first received information may be the power value or signal strength value of a plurality of PL RS measured by the terminal device within the first time period. For example, the first received information may be the average power value or average signal strength value of the plurality of PL RS measured by the terminal device; another example is that the first received information may be the maximum power value or maximum signal strength value among the plurality of PL RS measured by the terminal device; yet another example is that the first received information may be the minimum power value or minimum maximum signal strength value among the plurality of PL RS measured by the terminal device.

[0138] In some embodiments, the first transmission information and the first reception information may correspond to the same PLRS. For example, the first transmission information is the power value or signal strength value of the PLRS transmitted by the network device at a first moment, and the first reception information is the power value or signal strength value of the PLRS transmitted by the network device at a first moment measured by the terminal device.

[0139] It should be noted that the first transmission information and the first reception information may correspond to different PL RS, and this disclosure does not limit this.

[0140] In some embodiments, the first beam index may be the index value of the beam used by the network device to transmit PL RS. For example, the first transmit information is the power value or signal strength value of the PL RS transmitted by the network device at a first moment, the first receive information is the power value or signal strength value of the PL RS transmitted by the network device at a first moment measured by the terminal device, and the first beam index is the index value of the beam used by the network device when transmitting PL RS at the first moment.

[0141] In some embodiments, the first location may be the location where the terminal device measures the power value or signal strength value of the PL RS.

[0142] In some embodiments, the first model may be an AI / ML model.

[0143] In some embodiments, the first model can be used to predict the path loss value between the terminal device and the network device.

[0144] In some embodiments, the first model is trained using first sample information, which may include at least the following parameters:

[0145] The second transmit information, the second receive information, the second beam index, and the second location of the terminal device are included. The second transmit information is the power value or signal strength value of the PL RS sent by the network device, the second receive information is the power value or signal strength value of the PL RS measured by the terminal device, and the second beam index is the beam index value corresponding to the PL RS.

[0146] In some embodiments, the method of obtaining the first sample information can refer to the method of obtaining the first information described above, and will not be repeated here.

[0147] In some embodiments, the PL RS corresponding to the first sample information can be any PL RS obtained within a historical time period, and this disclosure does not limit this.

[0148] In some embodiments, after obtaining the first sample information, the model can be trained based on the first sample information to obtain the first model.

[0149] In some embodiments, the first model can be obtained by training the model using multiple first sample information.

[0150] In some embodiments, the multiple first sample information may be information acquired by the terminal device at different locations and / or at different times.

[0151] In some embodiments, the first sample information may be information prior to the first information time period.

[0152] For example, if the first information is information obtained at the current moment, then the first sample information can be information obtained before the current moment.

[0153] Figure 2B is a schematic diagram illustrating model training according to an embodiment of the present disclosure. As shown in Figure 2B, by inputting the second transmission information, the second reception information, the second beam index, and the second position of the terminal device into the AI / ML model, a predicted path loss value can be output.

[0154] In some embodiments, the training process of the first model can be described with reference to existing technologies, and will not be repeated here.

[0155] In some embodiments, the terminal device can input the first transmission information, the first reception information, the first beam index, and the first location into the first model to obtain the path loss value between the terminal device and the network device output by the first model.

[0156] In some embodiments, the first model can be trained using any one or more pieces of information from the first sample information.

[0157] In some embodiments, a first model trained with different information can predict path loss values ​​for different scenarios. For example, a first model trained with second transmit information, second receive information, and a second beam index can be used to predict path loss values ​​for a future time period; as another example, a first model trained with second transmit information, a second beam index, and a second location can be used to predict path loss values ​​for a specified location.

[0158] It should be noted that when predicting path loss values ​​using the first model, the parameters input to the first model are the same as the parameters used to train the first model. For example, if the first model is trained using second transmit information, second receive information, and a second beam index, then the information input when predicting path loss values ​​using the first model can include the first transmit information, the first receive information, and the first beam index.

[0159] In some embodiments, the first model can be used to predict path loss values ​​over a time period.

[0160] In some embodiments, the first model can be trained using second transmission information, second reception information, and a second beam index. The second transmission information is the power value or signal strength value of the PL RS sent by the network device, the second reception information is the power value or signal strength value of the PL RS measured by the terminal device, and the second beam index is the beam index value corresponding to the PL RS.

[0161] In some embodiments, when predicting path loss values ​​over a time period, the first information input to the first model may include at least the following parameters:

[0162] The first transmission information, the first reception information, and the first beam index.

[0163] In some embodiments, the first terminal can input the first transmission information, the first reception information, and the first beam index into the first model to obtain the path loss value of the second time period output by the first model, wherein the second time period is the time period after the first time period.

[0164] For example, the first time period is (1,…,i-1), and the second time period is (i,…,i+j). Here, i can be the current time, meaning that the first time period includes the time period before the current time, and the second time period can include the current time and the time period after the current time.

[0165] Figure 2C is a schematic diagram illustrating a prediction process according to an embodiment of the present disclosure. As shown in Figure 2C, the inputs of the first model are the first transmission information of the first time period, the first reception information of the first time period, and the first beam index of the first time period, and the output of the first model is the path loss value of the second time period.

[0166] In some embodiments, the first model can be used to predict the path loss value at a location.

[0167] In some embodiments, the first model can be trained using second transmission information, a second beam index, and a second location of the terminal device. The second transmission information is the power value or signal strength value of the PL RS sent by the network device, and the second beam index is the beam index value corresponding to the PL RS.

[0168] In some embodiments, when predicting the path loss value at a location, the first information input to the first model may include at least the following parameters:

[0169] The first transmission information, the first beam index, and the first position.

[0170] In some embodiments, the first terminal can input the first transmission information, the first beam index, and the first position into the first model to obtain the path loss value of the first position output by the first model.

[0171] In some embodiments, "path loss value at the first location" can be understood as "path loss value of the terminal device at the first location during the second time period". For example, the path loss value of the terminal device at the first location at time i can be predicted.

[0172] Figure 2D is a schematic diagram illustrating a prediction process according to an embodiment of the present disclosure. As shown in Figure 2D, the inputs of the first model are the first transmission information at time i, the first beam index, and the first position at time i, and the output of the first model is the path loss value at the first position at time i.

[0173] Step S2103: The terminal device determines the uplink transmission power based on the path loss value.

[0174] It should be noted that terminal devices can determine the uplink transmit power according to the methods defined in the existing protocols, which will not be elaborated here.

[0175] Using the above method, the terminal device does not need to measure the downlink path loss reference signal. The path loss value between the terminal device and the network device is predicted based on the first information to determine the uplink transmission power, thereby reducing the power consumption of the terminal device and saving power.

[0176] The methods involved in the embodiments of this disclosure may include at least one of the steps S2101 to S2103 described above. For example, step S2101 may be implemented as an independent embodiment, step S2102 may be implemented as an independent embodiment, step S2103 may be implemented as an independent embodiment, and step S2101 + step S2102 may be implemented as an independent embodiment.

[0177] In some embodiments, the order of any two steps in steps S2101 to S2103 can be interchanged or they can be performed simultaneously.

[0178] In some embodiments, steps S2101 to S2103 are optional, and one or more of these steps may be omitted or substituted in different embodiments. For example, step S2101 may be omitted.

[0179] In some embodiments, other alternative implementations may be described before or after the specification corresponding to FIG2A.

[0180] In some embodiments, the names of information, etc., are not limited to the names described in the embodiments. Terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0181] In some embodiments, “get,” “obtain,” “receive,” “transmit,” “bidirectional transmission,” and “send and / or receive” can be used interchangeably and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining through self-processing, or autonomous implementation, among other meanings.

[0182] In some embodiments, terms such as “send,” “transmit,” “report,” “distribute,” “transfer,” “bidirectional transmission,” “send and / or receive” can be used interchangeably.

[0183] 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.

[0184] Figure 3A is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 3A, the present disclosure relates to a communication method that can be executed by a terminal device. The method may include:

[0185] Step S3101: Receive the second information.

[0186] The optional implementation of step S3101 can be found in the optional implementation of step S2101 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0187] Step S3102: Input the first information into the first model to obtain the path loss value output by the first model.

[0188] The optional implementation of step S3102 can be found in the optional implementation of step S2102 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0189] Step S3103: Determine the uplink transmit power based on the path loss value.

[0190] The optional implementation of step S3103 can be found in the optional implementation of step S2103 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0191] The method involved in the embodiments of this disclosure may include at least one of the steps S3101 to S3103 described above. For example, step S3101 may be implemented as an independent embodiment, step S3102 may be implemented as an independent embodiment, step S3103 may be implemented as an independent embodiment, and step S3101 + step S3102 may be implemented as an independent embodiment.

[0192] In some embodiments, the order of any two steps in steps S3101 to S3103 can be interchanged or they can be performed simultaneously.

[0193] In some embodiments, steps S3101 to S3103 are optional, and one or more of these steps may be omitted or substituted in different embodiments. For example, step S3101 may be omitted.

[0194] Figure 3B is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 3B, the present disclosure relates to a communication method that can be executed by a terminal device. The method may include:

[0195] Step S3201: Receive the second information.

[0196] The optional implementation of step S3201 can be found in the optional implementation of step S2101 in Figure 2A, and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0197] Step S3202: Input the first transmission information, the first reception information, and the first beam index into the first model to obtain the path loss value of the second time period output by the first model.

[0198] The optional implementation of step S3202 can be found in the optional implementation of step S2102 in Figure 2A, as well as other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0199] Step S3203: Determine the uplink transmit power based on the path loss value.

[0200] The optional implementation of step S3203 can be found in the optional implementation of step S2103 in Figure 2A, as well as other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0201] In some embodiments, the above steps are all optional.

[0202] The methods involved in the embodiments of this disclosure may include at least one of the steps S3201 to S3203 described above. For example, step S3201 may be implemented as a separate embodiment, step S3202 may be implemented as a separate embodiment, step S3203 may be implemented as a separate embodiment, and step S3201 + step S3202 may be implemented as a separate embodiment.

[0203] In some embodiments, the order of any two steps in steps S3201 to S3203 can be interchanged or they can be performed simultaneously.

[0204] In some embodiments, steps S3201 to S3203 are optional, and one or more of these steps may be omitted or substituted in different embodiments. For example, step S3201 may be omitted.

[0205] Figure 3C is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 3C, the present disclosure relates to a communication method that can be executed by a terminal device. The method may include:

[0206] Step S3301: Receive the second information.

[0207] The optional implementation of step S3301 can be found in the optional implementation of step S2101 in Figure 2A, and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0208] Step S3302: Input the first transmission information, the first beam index and the first position into the first model to obtain the path loss value of the first position output by the first model.

[0209] The optional implementation of step S3302 can be found in the optional implementation of step S2102 in Figure 2A, as well as other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0210] Step S3303: Determine the uplink transmit power based on the path loss value.

[0211] The optional implementation of step S3303 can be found in the optional implementation of step S2103 in Figure 2A, as well as other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0212] The methods involved in the embodiments of this disclosure may include at least one of the steps S3301 to S3303 described above. For example, step S3301 may be implemented as an independent embodiment, step S3302 may be implemented as an independent embodiment, step S3303 may be implemented as an independent embodiment, and step S3301 + step S3302 may be implemented as an independent embodiment.

[0213] In some embodiments, the order of any two steps in steps S3301 to S3303 can be interchanged or they can be performed simultaneously.

[0214] In some embodiments, steps S3301 to S3303 are optional, and one or more of these steps may be omitted or substituted in different embodiments. For example, step S3301 may be omitted.

[0215] Figure 3D is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 3D, the present disclosure relates to a communication method that can be executed by a terminal device. The method may include:

[0216] Step S3401: Train the first model using the first sample information to obtain the first model.

[0217] In some embodiments, the first sample information may include at least the following parameters: second transmission information, second reception information, second beam index, and second location of the terminal device.

[0218] It should be noted that the information on the first sample in step S3401 can be found in the explanation of step S2102 in Figure 2A, and will not be repeated here.

[0219] For example, the first model can be trained using the second transmitted information, the second received information, and the second beam index; for another example, the first model can be trained using the second transmitted information, the second beam index, and the second position; and yet another example, the first model can be trained using the second transmitted information and the second received information.

[0220] It should be noted that the parameters for training the first model described above are for illustrative purposes only, and this disclosure does not limit the scope of the invention.

[0221] It should also be noted that the more parameters used to train the first model, the higher the accuracy of the trained first model.

[0222] Step S3402: Input the first information into the first model to obtain the path loss value output by the first model.

[0223] In some embodiments, the first information may include at least the following parameters: first transmission information, first reception information, first beam index, and first position.

[0224] It should be noted that the first information in step S3402 can be found in the explanation of step S2102 in Figure 2A, and will not be repeated here.

[0225] In some embodiments, the first information input to the first model may include at least one of first transmission information, first reception information, and first beam index. For example, the first information may include first transmission information, first reception information, and first beam index; for another example, the first information may include first transmission information and first reception information; for yet another example, the first information may include first transmission information and first beam index; and for yet another example, the first information may include first transmission information.

[0226] In some embodiments, the first information input to the first model may include at least one of first transmission information, first beam index, and first position. For example, the first information may include first transmission information, first beam index, and first position; for another example, the first information may include first transmission information and first position; for yet another example, the first information may include first beam index and first position; and for yet another example, the first information may include first position.

[0227] It should be noted that the above-mentioned input of the first information of the first model is for illustrative purposes only, and this disclosure does not limit it.

[0228] It should also be noted that the more parameters input into the first model, the more accurate the path loss value predicted by the first model will be.

[0229] Figure 3E is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 3E, the present disclosure relates to a communication method that can be executed by a terminal device. The method may include:

[0230] Step S3501: Based on the first information, make a prediction to obtain the path loss value between the terminal device and the network device.

[0231] The optional implementation of step S3501 can be found in the optional implementations of step S2101 in Figure 2A, step S3101 in Figure 3A, step S3201 in Figure 3B, step S3301 in Figure 3C, and step S3401 in Figure 3D, as well as other related parts in the embodiments involved in Figures 2A, 3A, 3B, 3C, and 3D, which will not be repeated here.

[0232] In some embodiments, the first information includes at least the following parameters:

[0233] The first transmission information is the power value or signal strength value of the path loss reference signal PLRS transmitted by the network device within a first time period, where the first time period is the time period before the current moment.

[0234] The first received information is the power value or signal strength value of the PL RS measured by the terminal device within the first time period;

[0235] The first beam index is the beam index value corresponding to the PL RS;

[0236] The first position of the terminal device at the current moment.

[0237] In some embodiments, the terminal device predicts the path loss value between the terminal device and the network device based on the first information, including:

[0238] The first information is input into the first model to obtain the path loss value output by the first model, wherein the first model is an artificial intelligence (AI) / machine learning (ML) model.

[0239] In some embodiments, the first model is trained using first sample information, which includes at least the following parameters:

[0240] The second transmission information, the second reception information, the second beam index, and the second location of the terminal device are provided, wherein the second transmission information is the power value or signal strength value of the PL RS sent by the network device, the second reception information is the power value or signal strength value of the PL RS measured by the terminal device, and the second beam index is the beam index value corresponding to the PL RS.

[0241] In some embodiments, the first sample information is information prior to the first information time period.

[0242] In some embodiments, the method further includes:

[0243] The system receives second information sent by the network device, the second information being used to indicate the first transmission information.

[0244] In some embodiments, the method further includes:

[0245] The uplink transmit power is determined based on the path loss value.

[0246] Figure 4 is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 4, the present disclosure relates to a communication method that can be executed by a network device. The method may include:

[0247] Step S4101: Send the second message.

[0248] The optional implementation of step S4101 can be found in the optional implementation of step S2101 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0249] In some embodiments, the second information is used to indicate first transmission information, which is the power value or signal strength value of the path loss reference signal PLRS sent by the network device. The first transmission information is used by the terminal device to predict the path loss value between the terminal device and the network device.

[0250] In some embodiments, the path loss value is used by the terminal device to determine the uplink transmit power.

[0251] Figure 5 is an interactive schematic diagram illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 5, the present disclosure relates to a communication method that can be executed by a communication system. The method may include:

[0252] Step S5101: The network device sends the second information to the terminal device.

[0253] The optional implementation of step S5101 can be found in the optional implementations of step S2101 in Figure 2A, step S3101 in Figure 3A, step S3201 in Figure 3B, step S3301 in Figure 3C, step S3401 in Figure 3D, step S4101 in Figure 4, and other related parts in the embodiments involved in Figures 2A, 3A, 3B, 3C, 3D, and 4, which will not be repeated here.

[0254] Step S5102: The terminal device makes a prediction based on the first information to obtain the path loss value between the terminal device and the network device.

[0255] The optional implementation of step S5102 can be found in the optional implementations of step S2102 in Figure 2A, step S3102 in Figure 3A, step S3202 in Figure 3B, step S3302 in Figure 3C, and step S3402 in Figure 3D, as well as other related parts in the embodiments involved in Figures 2A, 3A, 3B, 3C, and 3D, which will not be repeated here.

[0256] In some embodiments, the above methods may include the methods described in the embodiments of the communication system, terminal device, network device, etc., which will not be repeated here.

[0257] In some embodiments, an AI / ML model is trained based on dataset A (SetA) and outputs a path loss PL value that meets performance requirements, wherein the data parameters of the dataset (SetA) used for model training include at least one or more of the following parameter information:

[0258] The transmit power value (Pt) or signal strength value (Tx_RSRP) of PL RS;

[0259] The measurement results of the PLRS measurement sample (received power value (Pr) or received signal strength value (Rx_RSRP));

[0260] PLRS beam index;

[0261] UE location information;

[0262] In some embodiments, the output of training an AI / ML model is the path loss PL value.

[0263] In some embodiments, based on the trained AI / ML model described above, input dataset B (Set B), predict and output the path loss PL value, wherein the data parameter information of the dataset (Set B) used for model prediction can be in the following manner:

[0264] Input data parameter method 1:

[0265] The transmit power value (Pt) or signal strength value (Tx_RSRP) of PL RS;

[0266] The measurement results of the PLRS measurement sample (received power value (Pr) or received signal strength value (Rx_RSRP));

[0267] PLRS beam index.

[0268] Input data parameter method 2:

[0269] The transmit power value (Pt) or signal strength value (Tx_RSRP) of PL RS;

[0270] PLRS beam index;

[0271] UE location information;

[0272] In some embodiments, based on the AI / ML model trained above, the path loss PL value is predicted within a certain time period (time i,…,i+j). The input data are the power value / RSRP value of the transmitted and measured PLRS and the corresponding beam index value of the PLRS within a certain time period (time 1,…,i-1).

[0273] In some embodiments, based on the AI / ML model trained above, the path loss PL value of the current UE location is predicted within a certain time period (time i,…,i+j). The input data are the current UE location information, the signal transmitted by the PLRS, and the corresponding beam index value of the PLRS.

[0274] In some embodiments of this disclosure, a communication system is provided, which may include a terminal device and a network device, wherein the terminal device may execute the communication method executed by the terminal device in the foregoing embodiments of this disclosure; and the network device may execute the communication method executed by the network device in the foregoing embodiments of this disclosure.

[0275] 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.

[0276] It should be understood that the division of units or modules in the above device is only a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, the units or modules in the device can be implemented by a processor calling software: for example, the device includes a processor connected to a memory containing instructions. The processor calls the instructions stored in the memory to implement any of the above methods or to implement the functions of the units or modules in the above device. The processor can be, for example, a general-purpose processor, such as a Central Processing Unit (CPU) or a microprocessor, and the memory can be internal or external to the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits. The functionality of some or all of the units or modules can be achieved through the design of these hardware circuits, which can be understood as one or more processors. For example, in one implementation, the hardware circuit is an Application-Specific Integrated Circuit (ASIC), and the functionality of some or all of the units or modules is achieved through the design of the logical relationships between the components within the circuit. In another implementation, the hardware circuit can be implemented using a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), which can include a large number of logic gates. The connection relationships between the logic gates are configured through configuration files, thereby achieving the functionality of some or all of the units or modules. All units or modules of the above device can be implemented entirely through processor-called software, entirely through hardware circuits, or partially through processor-called software with the remaining parts implemented through hardware circuits.

[0277] In this embodiment, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction read and execute capabilities, such as a Central Processing Unit (CPU), a microprocessor, a Graphics Processing Unit (GPU) (which can be understood as a microprocessor), or a Digital Signal Processor (DSP). In another implementation, the processor can implement certain functions through the logical relationships of hardware circuits. The logical relationships of the aforementioned hardware circuits are fixed or reconfigurable. For example, the processor is a hardware circuit implemented using an Application-Specific Integrated Circuit (ASIC) or a Programmable Logic Device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and configuring the hardware circuit can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. 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).

[0278] Figure 6A is a schematic diagram of the structure of a terminal device according to an embodiment of this disclosure. As shown in Figure 6A, the terminal device 101 may include at least one of a processing module 6101, a transceiver module 6102, etc. In some embodiments, the processing module 6101 is configured to predict the path loss value between the terminal device and the network device based on first information. Optionally, the processing module 6101 may be used to perform at least one of the processing steps (e.g., step S2102, but not limited thereto) performed by the terminal device 101 in any of the above methods, which will not be elaborated here. The transmitting module and the receiving module may be separate or integrated together. Optionally, the transceiver module may be interchangeable with a transceiver.

[0279] In some embodiments, the processing module may be a single module or may include multiple sub-modules. Optionally, the multiple sub-modules may each perform all or part of the steps required by the processing module. Optionally, the processing module may be interchangeable with a processor.

[0280] Figure 6B is a schematic diagram of the structure of a network device according to an embodiment of this disclosure. As shown in Figure 6B, the network device 102 may include at least one of a transceiver module 6201, a processing module 6202, etc. In some embodiments, the transceiver module 6201 is configured to send second information to a terminal device, the second information being used to indicate first transmission information, the first transmission information being the power value or signal strength value of a path loss reference signal (PLRS) sent by the network device, and the first transmission information being used by the terminal device to predict the path loss value between the terminal device and the network device. Optionally, the transceiver module 6201 may be used to perform at least one of the communication steps (e.g., step S2101, but not limited thereto) performed by the network device 102 in any of the above methods, which will not be elaborated here.

[0281] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, which may be separate or integrated. Optionally, the transceiver module may be interchangeable with a transceiver.

[0282] 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 first 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.

[0283] 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, IoT devices, IoT device chips, DUs or CUs, etc.), execute programs, and process program data. The communication device 7100 is used to execute any of the above methods.

[0284] 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.

[0285] In some embodiments, the communication device 7100 further includes one or more transceivers 7103. When the communication device 7100 includes one or more transceivers 7103, the transceivers 7103 perform at least one of the communication steps such as sending and / or receiving in the above method (e.g., step S2101, but not limited thereto), and the processor 7101 performs at least one of other steps (e.g., step S2102, but not limited thereto).

[0286] In some embodiments, a transceiver may include a receiver and / or a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, etc., may be used interchangeably; the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc., may be used interchangeably; and the terms receiver, receiving unit, receiver, receiving circuit, etc., may be used interchangeably.

[0287] In some embodiments, the communication device 7100 may include one or more interface circuits. Optionally, the interface circuit is connected to the memory 7102, and the interface circuit can be used to receive signals from the memory 7102 or other devices, and can be used to send signals to the memory 7102 or other devices. For example, the interface circuit can read instructions stored in the memory 7102 and send the instructions to the processor 7101.

[0288] The communication device 7100 described in the above embodiments may be a first device or an Internet of Things (IoT) device, but the scope of the communication device 7100 described in this disclosure is not limited thereto, and the structure of the communication device 7100 may not be limited by FIG. 7A. The communication device may be a standalone device or may be part of a larger device. For example, the communication device may be: (1) a standalone integrated circuit IC, or chip, or chip system or subsystem; (2) a collection of one or more ICs, optionally, the IC collection may also include storage components for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, IoT device, smart IoT device, cellular phone, wireless device, handheld device, mobile unit, vehicle device, first device, cloud device, artificial intelligence device, etc.; (6) others, etc.

[0289] Figure 7B is a schematic diagram of the structure of the chip 7200 according to an embodiment of this disclosure. For cases where the communication device 7100 can be a chip or a chip system, the schematic diagram of the chip 7200 shown in Figure 7B can be referenced, but is not limited thereto.

[0290] Chip 7200 includes one or more processors 7201, which are used to perform any of the above methods.

[0291] In some embodiments, chip 7200 further includes one or more interface circuits 7203. Optionally, interface circuit 7203 is connected to memory 7202, and interface circuit 7203 can be used to receive signals from memory 7202 or other devices, and interface circuit 7203 can be used to send signals to memory 7202 or other devices. For example, interface circuit 7203 can read instructions stored in memory 7202 and send the instructions to processor 7201.

[0292] In some embodiments, the interface circuit 7203 performs at least one of the communication steps such as sending and / or receiving in the above method (e.g., step S2101, but not limited thereto), and the processor 7201 performs at least one of the other steps (e.g., step S2102, but not limited thereto).

[0293] In some embodiments, the terms interface circuit, interface, transceiver pin, transceiver, etc., can be used interchangeably.

[0294] In some embodiments, chip 7200 further includes one or more memories 7202 for storing instructions. Optionally, all or part of the memories 7202 may be located outside of chip 7200.

[0295] This disclosure also proposes a storage medium storing instructions that, when executed on a communication device 7100, cause the communication device 7100 to perform any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but not limited thereto; it may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but not limited thereto; it may also be a temporary storage medium.

[0296] 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 may be a computer program product.

[0297] This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

Claims

1. A communication method characterized by comprising: The method comprises: The terminal device predicts according to the first information to obtain a path loss value between the terminal device and the network device.

2. The method of claim 1, wherein, The first information comprises at least the following parameters: First transmission information, the first transmission information being a power value or signal strength value of a path loss reference signal (PL RS) transmitted by the network device in a first time period, the first time period being a time period before the current time; First reception information, the first reception information being a power value or signal strength value of the PL RS measured by the terminal device in the first time period; A first beam index, the first beam index being a beam index value corresponding to the PL RS; A first location of the terminal device at the current time.

3. The method of claim 2, wherein, The terminal device predicts according to the first information to obtain a path loss value between the terminal device and the network device comprises: Inputting the first information into a first model to obtain the path loss value output by the first model, wherein the first model is an artificial intelligence (AI) / machine learning (ML) model.

4. The method of claim 3, wherein, The first model is trained by first sample information, and the first sample information comprises at least the following parameters: Second transmission information, second reception information, a second beam index, and a second location of the terminal device, wherein the second transmission information is a power value or signal strength value of a PL RS transmitted by the network device, the second reception information is a power value or signal strength value of the PL RS measured by the terminal device, and the second beam index is a beam index value corresponding to the PL RS.

5. The method according to claim 4, characterized in that, The first sample information is information before a time period of the first information.

6. The method according to any one of claims 2-5, characterized in that, The method further comprises: Receiving second information transmitted by the network device, the second information being used to indicate the first transmission information.

7. The method according to any one of claims 1 to 6, characterized in that, The method further comprises: Determining uplink transmission power according to the path loss value.

8. A communication method characterized by comprising: The method comprises: The network device transmits second information to the terminal device, the second information being used to indicate first transmission information, the first transmission information being a power value or signal strength value of a path loss reference signal (PL RS) transmitted by the network device, the first transmission information being used for the terminal device to predict a path loss value between the terminal device and the network device.

9. The method of claim 8, wherein, The path loss value is used for the terminal device to determine uplink transmission power.

10. A terminal device, comprising: Comprise: A processing module configured to predict according to first information to obtain a path loss value between the terminal device and the network device.

11. A network device, comprising: Comprise: A transceiver module configured to transmit second information to the terminal device, the second information being used to indicate first transmission information, the first transmission information being a power value or signal strength value of a path loss reference signal (PL RS) transmitted by the network device, the first transmission information being used for the terminal device to predict a path loss value between the terminal device and the network device.

12. A communication device, characterized by Characterized in that it comprises: One or more processors; The communication device is configured to perform the communication method of any one of claims 1 to 7 or claims 8 to 9.

13. A storage medium, the storage medium storing instructions, wherein, The instructions, when executed on the communication device, cause the communication device to perform the communication method of any one of claims 1-7 or claims 8-9.

14. A communication system, characterized by The communication system comprises a terminal device configured to implement the communication method of any one of claims 1-7 and a network device configured to implement the communication method of any one of claims 8-9.

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