Communication methods, communication device, communication system and storage medium

Abstract

The present disclosure provides communication methods, a communication device, a communication system, and a storage medium. A method comprises: sending indication information to a network, wherein the indication information is used for indicating one or more of the following: whether an AI-based transmission signal processing unit is deployed on a terminal side, and a transmission parameter of the transmission signal processing unit on the terminal side. The methods of the present disclosure can ensure that network devices and terminals have consistent understanding of capabilities of transmission signal processing units on terminal sides.

Description

Communication methods, communication equipment, communication systems and storage media Technical Field

[0001] This disclosure relates to the field of communication technology, and in particular to communication methods, communication devices, communication systems and storage media. Background Technology

[0002] Artificial intelligence (AI) technology can be incorporated into communication systems to improve the quality of communication services. For example, communication systems can provide location services based on AI and / or machine learning (ML). Summary of the Invention

[0003] This disclosure provides communication methods, communication devices, communication systems, and storage media.

[0004] According to a first aspect of the embodiments of this disclosure, a communication method is provided, executed by a terminal, comprising:

[0005] Send indication information to network devices, wherein the indication information is used to indicate one or more of the following: whether an artificial intelligence (AI)-based transmission signal processing unit is deployed on the terminal side; and the transmission parameters of the terminal-side transmission signal processing unit.

[0006] According to a second aspect of the embodiments of this disclosure, a communication method is provided, performed by a network device, the method comprising:

[0007] The terminal receives indication information, which indicates one or more of the following: whether an AI-based transmission signal processing unit is deployed on the terminal side; and the transmission parameters of the terminal-side transmission signal processing unit.

[0008] According to a third aspect of the present disclosure, a communication method is provided for a communication system, the communication system including a network device and a terminal, the method comprising:

[0009] The terminal sends indication information to the network device, wherein the indication information is used to indicate one or more of the following: whether an artificial intelligence (AI)-based transmission signal processing unit is deployed on the terminal side; and the transmission parameters of the terminal-side transmission signal processing unit.

[0010] According to a fourth aspect of the embodiments of this disclosure, a terminal is provided, comprising:

[0011] The transceiver module is used to send indication information to network devices, wherein the indication information is used to indicate one or more of the following: whether an artificial intelligence (AI)-based transmission signal processing unit is deployed on the terminal side; and the transmission parameters of the terminal-side transmission signal processing unit.

[0012] According to a fifth aspect of the embodiments of this disclosure, a network device is provided, comprising:

[0013] The transceiver module is used to receive indication information sent by the terminal, wherein the indication information is used to indicate one or more of the following: whether an artificial intelligence (AI)-based transmission signal processing unit is deployed on the terminal side; and the transmission parameters of the terminal-side transmission signal processing unit.

[0014] According to a sixth aspect of the present disclosure, a communication device is provided, comprising:

[0015] One or more processors;

[0016] The processor is configured to invoke instructions to cause the communication device to execute any of the communication methods described in the first aspect to the second aspect.

[0017] According to a seventh aspect of the present disclosure, a communication system is provided, including a network device and a terminal, wherein the terminal is configured to implement the communication method described in the first aspect, and the network device is configured to implement the communication method described in the second aspect.

[0018] According to an eighth aspect of the present disclosure, a storage medium is provided that stores instructions that, when executed on a communication device, cause the communication device to perform a communication method as described in any of the first to second aspects.

[0019] In a ninth aspect, embodiments of this disclosure provide a program product, including a computer program that, when executed by a communication device, implements the communication methods described in the first and second aspects.

[0020] In a tenth aspect, embodiments of this disclosure provide a computer program that, when run on a computer, causes the computer to perform the communication methods described in the first and second aspects.

[0021] It is understood that the aforementioned network devices, terminals, communication devices, communication systems, storage media, program products, and computer programs 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. Attached Figure Description

[0022] The above and / or additional aspects and advantages of this disclosure will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, in which:

[0023] Figure 1 is a schematic diagram of the architecture of some communication systems provided in the embodiments of this disclosure;

[0024] Figure 2 is an interactive schematic diagram of a communication method provided in an embodiment of this disclosure;

[0025] Figure 3 is a flowchart illustrating a communication method provided in another embodiment of this disclosure;

[0026] Figure 4 is a flowchart illustrating a communication method provided in another embodiment of this disclosure;

[0027] Figure 5 is an interactive schematic diagram of the communication method provided in another embodiment of this disclosure;

[0028] Figure 6A is a schematic diagram of the structure of a terminal provided in an embodiment of this disclosure;

[0029] Figure 6B is a schematic diagram of the structure of a network device provided in an embodiment of this disclosure;

[0030] Figure 7A is a schematic diagram of the structure of a communication device provided in an embodiment of this disclosure;

[0031] Figure 7B is a schematic diagram of the structure of a chip provided in an embodiment of this disclosure. Detailed Implementation

[0032] This disclosure provides embodiments of a communication method, a communication device, a communication system, and a storage medium.

[0033] In a first aspect, embodiments of this disclosure propose a communication method executed by a terminal, the method comprising: sending indication information to a network device, wherein the indication information is used to indicate one or more of the following: whether an artificial intelligence (AI)-based transmission signal processing unit is deployed on the terminal side; and the transmission parameters of the terminal-side transmission signal processing unit.

[0034] In the above embodiments, the terminal indicates to the network device whether it has deployed an AI-based transmission signal processing unit and / or the transmission parameters of the transmission signal processing unit, thereby ensuring that the network device's understanding of the terminal's transmission capabilities is consistent with the terminal's understanding. This provides the network device with the conditions and basis to provide the terminal with a more suitable transmission configuration and further improve the terminal's communication performance.

[0035] In conjunction with some embodiments of the first aspect, in some embodiments, the AI-based transmit signal processing unit described above includes an AI-based power amplifier.

[0036] In conjunction with some embodiments of the first aspect, in some embodiments, the transmission parameters of the above-mentioned transmission signal processing unit include the error vector amplitude (EVM).

[0037] In conjunction with some embodiments of the first aspect, in some embodiments, the above-mentioned indication information is also used to indicate a first network state to which the AI-based transmit signal processing unit is applicable.

[0038] In the above embodiments, the terminal indicates to the network device the first network state applicable to the AI-based transmission signal processing unit, thereby ensuring that the terminal and the network device have a consistent understanding of the start-up timing of the AI-based transmission signal processing unit, and further improving the reliability of transmission.

[0039] In conjunction with some embodiments of the first aspect, in some embodiments, the above-mentioned indication information is also used to indicate the type of signal that the AI-based transmit signal processing unit can process.

[0040] In conjunction with some embodiments of the first aspect, in some embodiments, the above-mentioned indication information is also used to indicate the change parameters of the first signal relative to the second signal, wherein the first signal is transmitted by the AI-based transmission signal processing unit, and the second signal is transmitted by a non-AI-based transmission signal processing unit.

[0041] In conjunction with some embodiments of the first aspect, in some embodiments, the above-mentioned indication information is also used to indicate the processing delay of the AI-based transmit signal processing unit.

[0042] In conjunction with some embodiments of the first aspect, in some embodiments, the above-mentioned indication information is also used to indicate the switching delay between different transmit signal processing units.

[0043] In the above embodiments, the terminal can instruct the network device on the information of the AI-based transmission signal processing unit in various dimensions as needed, thereby providing the network device with accurate configuration for the terminal and providing conditions and basis for further improving the communication performance of the terminal.

[0044] Secondly, embodiments of this disclosure provide a communication method executed by a network device, the method comprising:

[0045] The terminal receives indication information, which indicates one or more of the following: whether an AI-based transmission signal processing unit is deployed on the terminal side; and the transmission parameters of the terminal-side transmission signal processing unit.

[0046] In conjunction with some embodiments of the second aspect, in some embodiments, the AI-based transmit signal processing unit described above includes an AI-based power amplifier.

[0047] In conjunction with some embodiments of the second aspect, in some embodiments, the transmission parameters of the above-mentioned transmission signal processing unit include the error vector amplitude (EVM).

[0048] In conjunction with some embodiments of the second aspect, in some embodiments, the above-mentioned indication information is also used to indicate a first network state to which the AI-based transmit signal processing unit is applicable.

[0049] In conjunction with some embodiments of the second aspect, in some embodiments, the above method further includes: determining whether to control the terminal to start the AI-based transmission signal processing unit based on whether the current second network state matches the first network state.

[0050] In conjunction with some embodiments of the second aspect, in some embodiments, the above method further includes: when the second network state matches the first network state, performing one or more of the following on the scheduling scheme of the terminal: increasing the modulation and coding scheme (MCS) rate and reducing the transmit power of the terminal.

[0051] In conjunction with some embodiments of the second aspect, in some embodiments, the above-mentioned indication information is also used to indicate the type of signal that the AI-based transmit signal processing unit can process.

[0052] In conjunction with some embodiments of the second aspect, in some embodiments, the above method further includes: determining whether to modify the received signal based on whether the type of the received signal is the same as the type of signal that the AI-based transmission signal processing unit can process.

[0053] In conjunction with some embodiments of the second aspect, in some embodiments, determining whether to modify the received signal based on whether the type of the received signal is the same as the type of signal that the AI-based transmission signal processing unit can process includes any of the following:

[0054] If the type of the received signal is the same as the type of signal that the AI-based signal processing unit can process, the received signal will not be modified.

[0055] If the type of the received signal is different from the type of signal that the AI-based transmission signal processing unit can process, the received signal is corrected.

[0056] In conjunction with some embodiments of the second aspect, in some embodiments, the above-mentioned indication information is also used to indicate the change parameters of the first signal relative to the second signal, wherein the first signal is transmitted by the AI-based transmission signal processing unit, and the second signal is transmitted by a non-AI-based transmission signal processing unit.

[0057] In conjunction with some embodiments of the second aspect, in some embodiments, the above method further includes: determining the degree of adjustment of one or more of the following scheduling schemes for the terminal based on the changing parameters: modulation and coding scheme (MCS) rate, transmit power.

[0058] In conjunction with some embodiments of the second aspect, in some embodiments, the above-mentioned indication information is also used to indicate the processing delay of the AI-based transmission signal processing unit.

[0059] In conjunction with some embodiments of the second aspect, in some embodiments, the above method further includes: determining one or more of the following for the terminal configuration based on the processing delay: minimum delay between the control channel and the data channel, minimum delay between data channel transmission and data feedback, and minimum delay between channel measurement and measurement result reporting.

[0060] In conjunction with some embodiments of the second aspect, in some embodiments, the above-mentioned indication information is also used to indicate the switching delay between different transmission signal processing units.

[0061] In conjunction with some embodiments of the second aspect, in some embodiments, the above method further includes: according to the switching delay, during the period when the terminal switches the transmission signal processing unit, not performing uplink scheduling on the terminal.

[0062] Thirdly, embodiments of this disclosure provide a communication method for a communication system, the communication system including network devices and terminals, the method comprising:

[0063] The terminal sends indication information to the network device, wherein the indication information is used to indicate one or more of the following: whether an artificial intelligence (AI)-based transmission signal processing unit is deployed on the terminal side; and the transmission parameters of the terminal-side transmission signal processing unit.

[0064] Fourthly, embodiments of this disclosure provide a terminal, including:

[0065] The transceiver module is used to send indication information to network devices, wherein the indication information is used to indicate one or more of the following: whether an artificial intelligence (AI)-based transmission signal processing unit is deployed on the terminal side; and the transmission parameters of the terminal-side transmission signal processing unit.

[0066] In conjunction with some embodiments of the fourth aspect, in some embodiments, the AI-based transmit signal processing unit described above includes an AI-based power amplifier.

[0067] In conjunction with some embodiments of the fourth aspect, in some embodiments, the transmission parameters of the above-mentioned transmission signal processing unit include the error vector amplitude (EVM).

[0068] In conjunction with some embodiments of the fourth aspect, in some embodiments, the above-mentioned indication information is also used to indicate a first network state to which the AI-based transmit signal processing unit is applicable.

[0069] In conjunction with some embodiments of the fourth aspect, in some embodiments, the above-mentioned indication information is also used to indicate the type of signal that the AI-based transmit signal processing unit can process.

[0070] In conjunction with some embodiments of the fourth aspect, in some embodiments, the above-mentioned indication information is also used to indicate the change parameters of the first signal relative to the second signal, wherein the first signal is transmitted by the AI-based transmission signal processing unit, and the second signal is transmitted by a non-AI-based transmission signal processing unit.

[0071] In conjunction with some embodiments of the fourth aspect, in some embodiments, the above-mentioned indication information is also used to indicate the processing delay of the AI-based transmit signal processing unit.

[0072] In conjunction with some embodiments of the fourth aspect, in some embodiments, the above-mentioned indication information is also used to indicate the switching delay between different transmit signal processing units.

[0073] Fifthly, embodiments of this disclosure provide a network device, comprising:

[0074] The transceiver module is used to receive indication information sent by the terminal, wherein the indication information indicates one or more of the following: whether an artificial intelligence (AI)-based transmission signal processing unit is deployed on the terminal side; and the transmission parameters of the terminal-side transmission signal processing unit.

[0075] In conjunction with some embodiments of the fifth aspect, in some embodiments, the AI-based transmit signal processing unit described above includes an AI-based power amplifier.

[0076] In conjunction with some embodiments of the fifth aspect, in some embodiments, the transmission parameters of the above-mentioned transmission signal processing unit include the error vector amplitude EVM.

[0077] In conjunction with some embodiments of the fifth aspect, in some embodiments, the above-mentioned indication information is also used to indicate a first network state to which the AI-based transmit signal processing unit is applicable.

[0078] In conjunction with some embodiments of the fifth aspect, in some embodiments, the network device further includes a processing module for determining whether to control the terminal to start the AI-based transmission signal processing unit based on whether the current second network state matches the first network state.

[0079] In conjunction with some embodiments of the fifth aspect, in some embodiments, the above-described processing module is further configured to perform one or more of the following on the scheduling scheme of the terminal when the second network state matches the first network state: increase the modulation and coding scheme (MCS) rate and reduce the transmit power of the terminal.

[0080] In conjunction with some embodiments of the fifth aspect, in some embodiments, the above-mentioned indication information is also used to indicate the type of signal that the AI-based transmit signal processing unit can process.

[0081] In conjunction with some embodiments of the fifth aspect, in some embodiments, the above-mentioned processing module is further configured to determine whether to correct the received signal based on whether the type of the received signal is the same as the type of signal that can be processed by the AI-based transmission signal processing unit.

[0082] In conjunction with some embodiments of the fifth aspect, in some embodiments, the above-described processing module is further configured to perform any of the following:

[0083] If the type of the received signal is the same as the type of signal that the AI-based signal processing unit can process, the received signal will not be modified.

[0084] If the type of the received signal is different from the type of signal that the AI-based transmission signal processing unit can process, the received signal is corrected.

[0085] In conjunction with some embodiments of the fifth aspect, in some embodiments, the above-mentioned indication information is also used to indicate the change parameters of the first signal relative to the second signal, wherein the first signal is transmitted by the AI-based transmission signal processing unit, and the second signal is transmitted by a non-AI-based transmission signal processing unit.

[0086] In conjunction with some embodiments of the fifth aspect, in some embodiments, the above-described processing module is further configured to: determine the degree of adjustment of one or more of the following scheduling schemes for the terminal based on the changing parameters: modulation and coding scheme (MCS) rate, transmit power.

[0087] In conjunction with some embodiments of the fifth aspect, in some embodiments, the above-mentioned indication information is also used to indicate the processing delay of the AI-based transmit signal processing unit.

[0088] In conjunction with some embodiments of the fifth aspect, in some embodiments, the above-mentioned processing module is further configured to: determine one or more of the following for the terminal configuration based on the processing delay: minimum delay between the control channel and the data channel, minimum delay between data channel transmission and data feedback, and minimum delay between channel measurement and measurement result reporting.

[0089] In conjunction with some embodiments of the fifth aspect, in some embodiments, the above-mentioned indication information is also used to indicate the switching delay between different transmit signal processing units.

[0090] In conjunction with some embodiments of the fifth aspect, in some embodiments, the above-mentioned processing module is further configured to: based on the switching delay, during the period when the terminal switches the transmission signal processing unit, not perform uplink scheduling on the terminal.

[0091] In a sixth aspect, embodiments of this disclosure provide a communication device comprising: one or more processors; one or more memories for storing instructions; wherein the processors are configured to invoke the instructions to cause the communication device to perform the methods described in the first aspect, the optional implementation of the first aspect, the second aspect, and the optional implementation of the second aspect.

[0092] In a seventh aspect, embodiments of this disclosure provide a communication system comprising: a network device and a terminal; wherein the terminal is configured to perform the method described in the first aspect and optional implementations thereof, and the network device is configured to perform the method described in the second aspect and optional implementations thereof.

[0093] 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 described in the first aspect, an optional implementation of the first aspect, the second aspect, and an optional implementation of the second aspect.

[0094] In a ninth aspect, embodiments of this disclosure provide a program product including a computer program that, when executed by a processor, implements the methods described in the first aspect, the optional implementation of the first aspect, the second aspect, and the optional implementation of the second aspect.

[0095] 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 the first aspect, an optional implementation of the first aspect, the second aspect, and an optional implementation of the second aspect.

[0096] It is understood that the aforementioned network devices, terminals, communication devices, communication systems, storage media, program products, and computer programs 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.

[0097] This disclosure provides communication methods, communication devices, communication systems, and storage media. In some embodiments, the terms "communication method" can be used interchangeably with "information processing method," "information sending method," and "information receiving method," and the terms "communication device" can be used interchangeably with "information processing device," "information sending device," and "information receiving device," and the terms "information processing system," "communication system," "information sending system," and "information receiving system" can be used interchangeably.

[0098] 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.

[0099] 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.

[0100] 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.

[0101] 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.

[0102] In the embodiments disclosed herein, "multiple" refers to two or more.

[0103] In some embodiments, the terms "at least one of A or B, at least one of A and B", "one or more", "a plurality of", "multiple" and the like can be used interchangeably.

[0104] 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 whether there is a branch B); in some embodiments, B (execute B regardless of whether there is a branch 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.

[0105] In some embodiments, the notation "A or B" may include the following technical solutions, depending on the situation: in some embodiments, A (execute A regardless of whether a branch B exists); in some embodiments, B (execute B regardless of whether a branch A exists); 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, and C.

[0106] 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.

[0107] In some embodiments, “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0108] In some embodiments, terms such as "time / frequency" and "time-frequency domain" refer to the time domain and / or frequency domain.

[0109] In some embodiments, terms such as “in response to…”, “in response to determining…”, “in the case of…”, “when…”, “when…”, “if…”, etc. can be used interchangeably. These descriptions all refer to the device making a corresponding action under certain objective circumstances. They do not necessarily limit the time, nor do they require the device to make a judgment action when implementing it, nor do they mean that there must be other limitations.

[0110] 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”.

[0111] 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,” “network function,” “network device,” “function,” “node,” “unit,” “section,” “system,” “network,” “chip,” “chip system,” “entity,” and “subject” are interchangeable.

[0112] In some embodiments, "network" can be interpreted as devices included in a network (e.g., access network devices, core network devices, etc.).

[0113] 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.

[0114] 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.

[0115] In some embodiments, access network devices, core network devices, or network devices can be replaced by 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 by 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, and uplink link, downlink, etc., can be replaced with sidelink link.

[0116] 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.

[0117] In some embodiments, the acquisition of data, information, etc., may comply with the laws and regulations of the country where the location is situated.

[0118] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0119] 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.

[0120] Figure 1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure. As shown in Figure 1, the communication system 100 may include a terminal 101 and a network device 102; wherein, the network device 102 may include at least one of an access network device and a core network device.

[0121] In some embodiments, the terminal includes, but is not limited to, at least one of the following: mobile phone, wearable device, Internet of Things (IoT) device, narrowband Internet of Things (NB-IoT) device, car with communication capabilities, smart car, tablet computer, computer with wireless transceiver capabilities, 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.

[0122] In some embodiments, the access network device is, for example, a node or device that connects a terminal 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), 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.

[0123] 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.

[0124] 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 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.

[0125] In some embodiments, the core network equipment can be a single device, such as a network element, or multiple devices or a group of devices, each comprising all or part of the network element. The network element can be virtual or physical. The core network includes, for example, at least one of the Evolved Packet Core (EPC), 5G Core Network (5GCN), and Next Generation Core (NGC).

[0126] 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.

[0127] 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.

[0128] 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).

[0129] In communication systems, the widespread application of fifth-generation (5G) mobile communication technology has brought tremendous changes to all aspects of people's lives. Specifically, 5G user experience speeds can reach 100 megabits per second (Mbit / s) to 1 gigabit per second (Gbit / s), supporting ultimate service experiences such as mobile virtual reality; 5G peak speeds can reach 10 Gbit / s to 20 Gbit / s, with a traffic density of up to 10 Mbit / s / m², capable of supporting future mobile traffic growth of over a thousandfold; and 5G connection density can reach 1 million connections per square meter (m²). 2 5G can effectively support a massive number of IoT devices; its transmission latency is in the millisecond range, meeting the stringent requirements of vehicle-to-everything (V2X) and industrial control; and it supports speeds of up to 500 kilometers per hour (km / h), ensuring a good user experience even in high-speed rail environments. It is conceivable that 5G, as a representative of new infrastructure, will reshape the future information society.

[0130] In some embodiments, Artificial Intelligence (AI) technology has achieved continuous breakthroughs in multiple fields. The ongoing development of fields such as intelligent voice and computer vision has not only brought a wide variety of applications to smart terminals, but has also found widespread use in education, transportation, home, healthcare, retail, security, and many other sectors, bringing convenience to people's lives while also promoting industrial upgrading across various industries. AI technology is also accelerating its cross-disciplinary integration with other disciplines; its development combines knowledge from different disciplines while also providing new directions and methods for the development of various fields.

[0131] In some embodiments, artificial intelligence technology can be introduced into the wireless air interface, and how artificial intelligence technology can assist in improving the transmission technology of the wireless air interface can be explored.

[0132] In some embodiments, the communication system can provide AI services in more dimensions. This mainly includes the following three aspects:

[0133] AI-enabled connectivity means using AI to improve communication performance, such as using AI for beam management;

[0134] Computing power services, that is, the network side can provide computing power to the terminal side, such as helping the terminal to perform model training, model inference, etc.

[0135] Ultimate AI service means enhancing the network transmission pipeline to improve the experience of AI application services.

[0136] AI-based transmitters, meaning transmitters that integrate AI algorithms, can automatically adjust transmission parameters, optimize signal transmission, and achieve more efficient spectrum utilization.

[0137] In some embodiments, when a terminal transmits a signal, it undergoes processing by a radio frequency (RF) device. During this processing, the imperfections and noise of the RF device can distort the signal, reducing the signal reception performance at the receiving end.

[0138] In some embodiments, the terminal may have two sets of processing methods for transmitted signals: one is the traditional non-AI-based processing method, and the other is the AI-based processing method.

[0139] In some embodiments, AI-based processing methods, due to limitations in generalization, cannot be used in all scenarios and can only be used in specific ones. Furthermore, in environments where AI is applicable, using AI-based processing methods often yields better launch performance.

[0140] In this embodiment of the disclosure, considering that terminals deployed with AI-based transmitters can have better transmission performance, if used in conjunction with network devices, such as network devices adopting a more suitable scheduling method, the advantages of AI-based transmitters can be more fully realized.

[0141] [Correction 22.01.2025 based on Rule 91] Figure 2 is an interactive schematic diagram of a communication method according to an embodiment of the present disclosure. As shown in Figure 2, the present disclosure relates to a communication method for a communication system 100; the method includes:

[0142] Step S2101: The terminal sends instruction information to the network device.

[0143] In some embodiments, the network device receives instruction information sent by the terminal, but is not limited thereto. The network device may also receive instruction information sent by other entities other than the terminal, in which case S2101 can be omitted.

[0144] In some embodiments, the network device obtains indication information specified by the protocol, in which case S2101 can be omitted.

[0145] In some embodiments, the network device obtains indication information from the upper layer(s), in which case S2101 can be omitted.

[0146] In some embodiments, the terminal may independently determine to send instruction information to the network device, or send instruction information to the network device based on an instruction from the network device, or determine to send instruction information to the network device based on a protocol agreement.

[0147] In some embodiments, the terminal may reuse existing signaling or messages to send indication information to the network device, or use new signaling or messages to send indication information to the network device.

[0148] In some embodiments, the terminal uses at least one of radio resource control (RRC) and media access control control element (MAC CE) to send indication information to the network device.

[0149] In some embodiments, the above indication information is used to indicate one or more of the following: whether an artificial intelligence (AI)-based transmission signal processing unit is deployed on the terminal side, and the transmission parameters of the terminal-side transmission signal processing unit.

[0150] In some embodiments, an AI-based transmit signal processing unit is used to indicate that AI technology is employed in the terminal-side unit for processing transmit signals.

[0151] In some embodiments, terms such as "transmit signal processing unit," "transmitter," "transmitter," "transmit signal unit," and "signal transmission processing unit" can be used interchangeably in certain scenarios.

[0152] In some embodiments, the terminal may or may not have deployed an AI-based transmission signal processing unit. The terminal can indicate the status of its deployed transmission signal processing unit to the network device through indication information, thereby providing the network device with the conditions and basis for accurately configuring the terminal.

[0153] In some embodiments, the transmission parameters of the terminal-side transmission signal processing unit may be the maximum output power of the transmission signal processing unit, the frequency error of the transmission signal processing unit, and the quality of the transmitted signal of the transmission signal processing unit, such as error vector magnitude (EVM), peak coding domain error (PCDE), etc.

[0154] In some embodiments, the transmission parameters of the terminal-side transmission signal processing unit may include the transmission parameters of an AI-based transmission signal processing unit, or the transmission parameters of a non-AI-based transmission signal processing unit.

[0155] In some embodiments, the AI-based transmit signal processing unit includes an AI-based power amplifier.

[0156] In this embodiment of the disclosure, an AI-based power amplifier is used to amplify the signal to be transmitted. The AI-based power amplifier can automatically adjust the amplification factor based on the scenario and requirements, thereby improving signal quality while minimizing distortion and noise.

[0157] In some embodiments, the AI-based transmit signal processing unit may further include at least one of the following: an AI-based filter, an AI-based adjuster, an AI-based transmit conversion module (for frequency conversion and / or phase adjustment of the transmit signal), etc., which are not limited in this disclosure.

[0158] In some embodiments, the transmission parameters of the transmission signal processing unit include the error vector magnitude (EVM).

[0159] In some embodiments, the EVM is used to describe the relationship between noise introduced after passing through the transmit signal processing unit and the transmit power. In this embodiment of the disclosure, the terminal indicates the EVM of its deployed transmit signal processing unit to the network device, thereby enabling the network device to determine the amount of noise in the transmitted signal based on the power of the received signal, thus providing the network device with the means to accurately determine the degree of processing of the received signal.

[0160] In some embodiments, the indication information is also used to indicate a first network state to which the AI-based transmit signal processing unit is applicable.

[0161] In some embodiments, the first network state may include, for example, one or more of the following: a signal-to-interference plus noise ratio (SINR) range, an applicable mobile speed range, and a network type (such as an indoor network, an outdoor network, a macro cell, a micro cell).

[0162] In step S2102, the network device determines the current second network state.

[0163] In some embodiments, the second network state may include one or more of the following: the terminal's SINR range, the terminal's mobile speed range, and the network type.

[0164] In some embodiments, the indication information indicates the SINR range applicable to the AI-based transmit signal processing unit, and the network device can determine the SINR of the current terminal.

[0165] In some embodiments, the indication information indicates the range of terminal movement speed and network type (such as indoor or outdoor network) to which the AI-based transmission signal processing unit is applicable, so the network device can determine the current terminal movement speed and the actual network type.

[0166] In some embodiments, the network device may determine whether to control the terminal to start the AI-based transmission signal processing unit based on whether the second network state matches the first network state.

[0167] In some embodiments, the first network state includes the SINR range and the terminal's moving speed range. The network device can determine the terminal's SINR and moving speed, and then if the network device determines that the terminal's SINR is within the SINR range indicated by the first network state, and the network device determines that the terminal's moving speed is within the moving speed range indicated by the first network state, then the network device determines that the second network state matches the first network state.

[0168] In some embodiments, the first network state includes the SINR range and the network type is an indoor network. The network device can determine the terminal's SINR and network type. Then, if the network device determines that the terminal's SINR is within the SINR range indicated by the first network state and the determined network type is an indoor network, it can determine that the second network state matches the first network state, and so on.

[0169] In some embodiments, if the second network state does not match the first network state, the network device may not send an instruction to the terminal to activate the AI-based transmit signal processing unit.

[0170] In some embodiments, if the second network state does not match the first network state, the network device may instruct the terminal not to start the AI-based transmit signal processing unit.

[0171] In step S2103, the second network state matches the first network state, and the network device sends an instruction to the terminal to start the AI-based transmission signal processing unit.

[0172] In some embodiments, the network device may send instructions for the AI-based transmit signal processing unit to the terminal via RRC messages and / or MAC CE.

[0173] In some embodiments, the terminal may activate the AI-based transmission signal processing unit after receiving an instruction from the network device to activate the AI-based transmission signal processing unit.

[0174] In some embodiments, if the second network state matches the first network state, the network device may also implicitly indicate to the terminal that it can activate the AI-based transmission signal processing unit by not sending an instruction to activate the AI-based transmission signal processing unit. In this case, since the terminal has not received an instruction from the network device not to activate the AI-based transmission signal processing unit, the terminal can determine that the network device allows the activation of the AI-based transmission signal processing unit, and thus can activate the AI-based transmission signal processing unit.

[0175] Step S2104: The network device adjusts the terminal scheduling scheme.

[0176] In some embodiments, the network device adjusts the terminal scheduling scheme, including one or more of the following: increasing the modulation and coding scheme (MCS) rate and reducing the terminal's transmit power.

[0177] In this embodiment of the disclosure, when the network device determines that the second network state matches the first network state, it can determine that the terminal can use the AI-based transmit signal processing unit. This means the terminal currently has a stronger processing capability for transmitted signals. Therefore, it can control the terminal to use a scheduling scheme with higher spectral efficiency, such as a higher MCS or lower transmit power. This improves the terminal's spectral efficiency and reduces its power consumption.

[0178] In some embodiments, the indication information is further used to indicate the change parameters of the first signal relative to the second signal, wherein the first signal is transmitted by an AI-based transmission signal processing unit and the second signal is transmitted by a non-AI-based transmission signal processing unit.

[0179] In other words, the same signal becomes the first signal after being processed by an AI-based transmission signal processing unit, and becomes the second signal after being processed by a non-AI-based transmission signal processing unit. The terminal can indicate the change parameters of the first signal relative to the second signal to the network device.

[0180] In some embodiments, the variable parameter can be, for example, the amplification factor, such as 1.1 times, 1.2 times, etc. In some embodiments, the variable parameter can also be, for example, the power increase, such as n decibels (dB), indicating that the first signal is increased by ndB relative to the second signal, where n can be any positive integer, and this disclosure does not limit it.

[0181] In some embodiments, the network device determines the degree of adjustment to the terminal scheduling scheme based on the changing parameters.

[0182] In some embodiments, the network device may determine the degree of adjustment to one or more of the following scheduling schemes based on changing parameters: modulation and coding scheme (MCS) rate, and transmit power.

[0183] In some embodiments, the network device can determine the degree of adjustment to the terminal scheduling scheme based on the range to which the changing parameters belong.

[0184] For example, when the changing parameter is within range 1, the adjustment degree of the scheduling scheme is 'a'; when the changing parameter is within range 2, the adjustment degree of the scheduling scheme is 'b', and so on. Here, 'a' and 'b' can be any rational numbers, and this disclosure does not impose any limitations on them. It should be noted that the above examples are merely illustrative of how network devices determine the adjustment degree of the scheduling scheme for terminals based on changing parameters, and should not be considered as restrictive descriptions of how network devices determine the adjustment degree of the scheduling scheme for terminals.

[0185] In some embodiments, the network device can determine the degree of adjustment of the scheduling scheme corresponding to the changed parameters indicated by the terminal based on a pre-configured mapping relationship.

[0186] In some embodiments, the network device may increase the terminal's MCS rate and / or decrease the terminal's transmit power, etc., after receiving the changed parameters indicated by the terminal, and this disclosure does not limit this.

[0187] In some embodiments, the indication information is also used to indicate the type of signal that the AI-based transmit signal processing unit can process.

[0188] In some embodiments, the signal type includes one or more of the following: a data signal, a reference signal for channel measurement.

[0189] In step S2105, the network device determines whether to correct the received signal based on whether the type of the received signal is the same as the type of signal that the AI-based transmit signal processing unit can process.

[0190] In some embodiments, if the type of the received signal is the same as the type of signal that the AI-based transmit signal processing unit can process, the network device may not need to modify the received signal.

[0191] In some embodiments, when the type of the received signal is different from the type of signal that the AI-based transmit signal processing unit can process, the network device can correct the received signal.

[0192] In some embodiments, the network device may correct the received signal by one or more of the following: compensating for the power of the received signal, adjusting the phase of the received signal, filtering the received signal, etc. This disclosure does not limit the scope of the correction.

[0193] In some embodiments, if the indication information indicates that the AI-based transmit signal processing unit can process a data signal—that is, the terminal still transmits the reference signal used for channel measurement in a conventional manner, while the data signal is transmitted by the AI-based transmit signal processing unit—then the network device can determine that the received data signal has less distortion, while the reference signal used for channel measurement has greater distortion. In this case, the network device can correct only the measurement result obtained from measuring the reference signal.

[0194] In some embodiments, if the indication information indicates that the AI-based transmit signal processing unit can process signals including data signals and reference signals for channel measurement, then the network device will not correct the measurement results of the newly obtained reference signal, nor will it correct the data signal.

[0195] In some embodiments, the indication information is also used to indicate the processing delay of the AI-based transmit signal processing unit.

[0196] In some embodiments, the network device may determine one or more of the following configurations for the terminal based on processing latency: minimum latency between the control channel and the data channel, minimum latency between data channel transmission and data feedback, and minimum latency between channel measurement and measurement result reporting.

[0197] In some embodiments, if the AI-based transmission signal processing unit can process data signals and reference signals for channel measurement, that is, the AI-based transmission signal processing unit can process signals transmitted in the data channel and signals transmitted in the control channel, then in order to avoid signal interference caused by signals from different channels being sent to the AI-based transmission signal processing unit at the same time, the network device can configure the minimum delay between the control channel and the data channel for the terminal based on the processing delay.

[0198] In some embodiments, if the AI-based signal processing unit can process signals including data signals, the network device can configure the minimum latency between data channel transmission and data feedback for the terminal based on the processing latency. That is, configuring the minimum latency between receiving the data signal and sending data feedback for the terminal improves the accuracy of determining the minimum latency between data channel transmission and data feedback, providing conditions and a basis for the terminal to determine the timing of sending the data feedback signal.

[0199] In some embodiments, if the AI-based transmit signal processing unit can process signals including reference signals, the network device can configure the minimum delay between channel measurement and measurement result reporting for the terminal based on the processing latency. That is, configuring the minimum delay between performing channel measurement and sending the measurement result improves the minimum delay between the determined channel measurement and measurement result reporting, providing the terminal with the conditions and basis for selecting the accurate timing for reporting the measurement result.

[0200] In some embodiments, the indication information is also used to indicate the switching delay between different transmit signal processing units.

[0201] In some embodiments, the switching delay may be the time required for the terminal to switch its transmission signal processing unit from an AI-based transmission signal processing unit to a non-AI-based transmission signal processing unit; and / or the time required for the terminal to switch its transmission signal processing unit from a non-AI-based transmission signal processing unit to an AI-based transmission signal processing unit.

[0202] In some embodiments, the time required for the terminal to switch from an AI-based transmission signal processing unit to a non-AI-based transmission signal processing unit may be the same as or different from the time required to switch from a non-AI-based transmission signal processing unit to an AI-based transmission signal processing unit, and this disclosure does not limit it.

[0203] In some embodiments, the terminal may respectively indicate the time required for the process of switching from an AI-based transmission signal processing unit to a non-AI-based transmission signal processing unit, and the time required for the process of switching from a non-AI-based transmission signal processing unit to an AI-based transmission signal processing unit.

[0204] In some embodiments, the network device may, based on the handover delay, not perform uplink scheduling on the terminal during the period when the terminal is switching its transmission signal processing unit.

[0205] In this embodiment of the disclosure, the network device can determine whether the terminal has started the AI-based transmission signal processing unit based on whether the determined second network state matches the indicated first network state, and will not perform uplink scheduling on the terminal during the period when the terminal switches the transmission signal processing unit, thereby avoiding scheduling failure and improving the reliability of the terminal.

[0206] In summary, in the above embodiments, the terminal can indicate to the network device whether it has deployed an AI-based transmission signal processing unit and / or the transmission parameters of the terminal-side transmission signal processing unit. This ensures that the network device and the terminal have a consistent understanding of the terminal's capabilities, providing the conditions and basis for the network device to accurately configure the terminal, thereby further improving the terminal's communication efficiency.

[0207] The communication method involved in the embodiments of this disclosure may include at least one of steps S2101 to S2106. For example, step S2101 may be implemented as a standalone embodiment, step S2101+S2103 may be implemented as a standalone embodiment, step S2102+S2104 may be implemented as a standalone embodiment, step S2101+S2105 may be implemented as a standalone embodiment, etc., but is not limited thereto.

[0208] In this implementation or embodiment, unless there is contradiction, each step can be independent, arbitrarily combined or exchanged in order, optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other implementations or other embodiments.

[0209] Figure 3 is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 3, the present disclosure relates to a communication method for a terminal, the method comprising:

[0210] Step S3101: Send indication information to the network device, wherein the indication information is used to indicate one or more of the following: whether an AI-based transmission signal processing unit is deployed on the terminal side; and the transmission parameters of the terminal-side transmission signal processing unit.

[0211] In some embodiments, the AI-based transmit signal processing unit described above includes an AI-based power amplifier.

[0212] In some embodiments, the transmission parameters of the above-mentioned transmission signal processing unit include the error vector amplitude (EVM).

[0213] In some embodiments, the aforementioned indication information is also used to indicate a first network state to which the AI-based transmit signal processing unit is applicable.

[0214] In some embodiments, the aforementioned indication information is also used to indicate the type of signal that the AI-based transmit signal processing unit can process.

[0215] In some embodiments, the aforementioned indication information is further used to indicate the change parameters of the first signal relative to the second signal, wherein the first signal is transmitted by the AI-based transmission signal processing unit, and the second signal is transmitted by a non-AI-based transmission signal processing unit.

[0216] In some embodiments, the aforementioned indication information is also used to indicate the processing delay of the AI-based transmit signal processing unit.

[0217] In some embodiments, the aforementioned indication information is also used to indicate the switching delay between different transmit signal processing units.

[0218] For a detailed description of step S3101 and various possible embodiments, please refer to the above description of the embodiments.

[0219] 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 for a network device, the method comprising:

[0220] Step S4101: Receive indication information sent by the terminal, wherein the indication information is used to indicate one or more of the following: whether an AI-based transmission signal processing unit is deployed on the terminal side; and the transmission parameters of the transmission signal processing unit on the terminal side.

[0221] In some embodiments, the AI-based transmit signal processing unit described above includes an AI-based power amplifier.

[0222] In some embodiments, the transmission parameters of the above-mentioned transmission signal processing unit include the error vector amplitude (EVM).

[0223] In some embodiments, the aforementioned indication information is also used to indicate a first network state to which the AI-based transmit signal processing unit is applicable.

[0224] In some embodiments, the method further includes: determining whether to control the terminal to start the AI-based transmission signal processing unit based on whether the current second network state matches the first network state.

[0225] In some embodiments, the method further includes: when the second network state matches the first network state, performing one or more of the following on the scheduling scheme of the terminal: increasing the modulation and coding scheme (MCS) rate and reducing the transmit power of the terminal.

[0226] In some embodiments, the aforementioned indication information is also used to indicate the type of signal that the AI-based transmit signal processing unit can process.

[0227] In some embodiments, the method further includes: determining whether to correct the received signal based on whether the type of the received signal is the same as the type of signal that the AI-based transmission signal processing unit can process.

[0228] In some embodiments, determining whether to correct the received signal based on whether the type of the received signal is the same as the type of signal that the AI-based transmit signal processing unit can process includes any of the following:

[0229] If the type of the received signal is the same as the type of signal that the AI-based transmit signal processing unit can process, the received signal will not be modified.

[0230] When the type of the received signal is different from the type of signal that the base AI's transmit signal processing unit can process, the received signal is corrected.

[0231] In some embodiments, the aforementioned indication information is further used to indicate the change parameters of the first signal relative to the second signal, wherein the first signal is transmitted by the AI-based transmission signal processing unit, and the second signal is transmitted by a non-AI-based transmission signal processing unit.

[0232] In some embodiments, the method further includes: determining the degree of adjustment of one or more of the following scheduling schemes for the terminal based on the changing parameters: modulation and coding scheme (MCS) rate, transmit power.

[0233] In some embodiments, the aforementioned indication information is also used to indicate the processing delay of the AI-based transmit signal processing unit.

[0234] In some embodiments, the method further includes: determining one or more of the following for the terminal configuration based on the processing delay: minimum delay between the control channel and the data channel, minimum delay between data channel transmission and data feedback, and minimum delay between channel measurement and measurement result reporting.

[0235] In some embodiments, the aforementioned indication information is also used to indicate the switching delay between different transmit signal processing units.

[0236] In some embodiments, the method further includes: based on the switching delay, not performing uplink scheduling on the terminal during the period when the terminal switches its transmission signal processing unit.

[0237] For a detailed description of step S4101 and various possible embodiments, please refer to the above embodiments.

[0238] Figure 5 is an interactive schematic diagram of a communication method according to an embodiment of the present disclosure. As shown in Figure 5, the present disclosure relates to a communication method for a communication system, which includes a network device and a terminal. The method includes at least one of the following:

[0239] Step S5101: The terminal sends instruction information to the network device.

[0240] The indication information is used to indicate one or more of the following: whether an AI-based transmission signal processing unit is deployed on the terminal side; and the transmission parameters of the terminal-side transmission signal processing unit.

[0241] In some embodiments, the above methods may include various optional embodiments of the methods described in the embodiments of the communication system side, terminal side, network device side, etc., which will not be repeated here.

[0242] The following is an exemplary description of the above method.

[0243] In this embodiment of the disclosure, the terminal sends indication information to the network. The indication information is used to report to the network that an AI-based transmission signal processing unit (or transmitter) has been deployed on the terminal side, and / or the terminal reports transmission parameters associated with the transmission signal processing unit to the network.

[0244] In some embodiments, the AI-based received signal processing unit described above includes an AI-based power amplifier.

[0245] In some embodiments, the transmission parameters associated with the transmission signal processing unit include the transmission EVM, which describes the relationship between noise introduced after passing through the transmitter and transmission power.

[0246] In some embodiments, the indication information indicates the applicable scope of the AI-based received signal processing unit, such as the applicable SINR range, applicable mobile speed, network type (indoor or outdoor), etc.

[0247] In some embodiments, when performing uplink scheduling on the network side, it can be determined whether to control the terminal to start the AI-based transmitter based on the current network conditions.

[0248] In some embodiments, the network side can infer whether the terminal is using an AI-based transmitter or a traditional transmitter. If it is using an AI-based transmitter, the network side predicts that the signal transmitted by the terminal is stronger than that processed without AI, and therefore can use a scheduling scheme with higher spectral efficiency (e.g., a higher MCS) for uplink data scheduling.

[0249] In some embodiments, the indication information indicates the types of transmitted signals that the AI-based transmitter can enhance: the received signal types include: data signals, and reference signals for channel measurements.

[0250] In some embodiments, based on this information, the network device can determine whether the uplink measurement results obtained by the network need to be corrected. For example, if the reference signal used for channel measurement is still processed in a conventional manner, while the data signal is processed by an AI-based transmitter, then the network device can correct the measured results. If both are processed by an AI-based transmitter, then the network does not correct the new measured results.

[0251] In some embodiments, the indication information also indicates the degree of improvement in the received signal when the AI-based transmitter transmits a signal compared to the signal transmitted by a conventional non-AI transmitter, for example, an improvement of ndB compared to the signal received by a conventional non-AI receiver.

[0252] In some embodiments, the network side can use this information to determine the degree of adjustment to the terminal scheduling scheme.

[0253] In some embodiments, the indication information may further indicate the processing latency of the AI-based transmitter.

[0254] In some embodiments, the network device may determine the minimum delay between the terminal's control channel and data channel, the minimum delay between data channel transmission and data feedback, and the minimum delay between channel measurement and measurement result reporting based on information, in order to finally determine an appropriate processing interval.

[0255] In some embodiments, the indication information may further indicate the switching delay when switching between two different transmitters.

[0256] In some embodiments, network devices can use this information to determine the switching latency when different types of transmitters switch, so as to avoid scheduling uplink data during this time period.

[0257] 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.

[0258] 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). 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). 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 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.

[0259] 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. Furthermore, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a Neural Network Processing Unit (NPU), a Tensor Processing Unit (TPU), or a Deep Learning Processing Unit (DPU).

[0260] Figure 6A is a schematic diagram of the structure of a terminal according to an embodiment of this disclosure. Terminal 6100 is used to execute any of the above methods. In some embodiments, as shown in Figure 6A, terminal 6100 may include at least one of: a transceiver module 6101, a processing module 6102, etc. In some embodiments, the transceiver module is used to send indication information to a network device, wherein the indication information is used to indicate one or more of the following: whether an artificial intelligence (AI) based transmission signal processing unit is deployed on the terminal side; and the transmission parameters of the terminal-side transmission signal processing unit.

[0261] In some embodiments, the AI-based transmit signal processing unit described above includes an AI-based power amplifier.

[0262] In some embodiments, the transmission parameters of the above-mentioned transmission signal processing unit include the error vector amplitude (EVM).

[0263] In some embodiments, the aforementioned indication information is also used to indicate a first network state to which the AI-based transmit signal processing unit is applicable.

[0264] In some embodiments, the aforementioned indication information is also used to indicate the type of signal that the AI-based transmit signal processing unit can process.

[0265] In some embodiments, the aforementioned indication information is further used to indicate the change parameters of the first signal relative to the second signal, wherein the first signal is transmitted by the AI-based transmission signal processing unit, and the second signal is transmitted by a non-AI-based transmission signal processing unit.

[0266] In some embodiments, the aforementioned indication information is also used to indicate the processing delay of the AI-based transmit signal processing unit.

[0267] In some embodiments, the aforementioned indication information is also used to indicate the switching delay between different transmit signal processing units.

[0268] Optionally, the transceiver module is used to perform at least one of the communication steps such as sending and / or receiving performed by the terminal in any of the above methods (e.g., steps S2102, S2103, S3101, and S4101, but not limited thereto), which will not be elaborated here.

[0269] Figure 6B is a schematic diagram of the structure of a network device according to an embodiment of this disclosure. The network device 6200 is used to perform any of the above methods. In some embodiments, as shown in Figure 6B, the network device 6200 may include at least one of a transceiver module 6201, a processing module 6202, etc.

[0270] In some embodiments, the transceiver module described above is used to receive indication information sent by the terminal, wherein the indication information is used to indicate one or more of the following: whether an artificial intelligence (AI)-based transmission signal processing unit is deployed on the terminal side; and the transmission parameters of the terminal-side transmission signal processing unit.

[0271] In some embodiments, the AI-based transmit signal processing unit described above includes an AI-based power amplifier.

[0272] In some embodiments, the transmission parameters of the above-mentioned transmission signal processing unit include the error vector amplitude (EVM).

[0273] In some embodiments, the aforementioned indication information is also used to indicate a first network state to which the AI-based transmit signal processing unit is applicable.

[0274] In some embodiments, the processing module described above is configured to determine whether to control the terminal to start the AI-based transmission signal processing unit based on whether the current second network state matches the first network state.

[0275] In some embodiments, the above-described processing module is further configured to perform one or more of the following on the scheduling scheme of the terminal when the second network state matches the first network state: increase the modulation and coding scheme (MCS) rate and reduce the transmit power of the terminal.

[0276] In some embodiments, the aforementioned indication information is also used to indicate the type of signal that the AI-based transmit signal processing unit can process.

[0277] In some embodiments, the above-described processing module is further configured to determine whether to correct the received signal based on whether the type of the received signal is the same as the type of signal that the AI-based transmission signal processing unit can process.

[0278] In some embodiments, the above-described processing module is further configured to perform any of the following:

[0279] If the type of the received signal is the same as the type of signal that the AI-based signal processing unit can process, the received signal will not be modified.

[0280] If the type of the received signal is different from the type of signal that the AI-based transmission signal processing unit can process, the received signal is corrected.

[0281] In some embodiments, the aforementioned indication information is further used to indicate the change parameters of the first signal relative to the second signal, wherein the first signal is transmitted by the AI-based transmission signal processing unit, and the second signal is transmitted by a non-AI-based transmission signal processing unit.

[0282] In some embodiments, the above-described processing module is further configured to determine the degree of adjustment of one or more of the following scheduling schemes for the terminal based on the changing parameters: modulation and coding scheme (MCS) rate, transmit power.

[0283] In some embodiments, the aforementioned indication information is also used to indicate the processing delay of the AI-based transmit signal processing unit.

[0284] In some embodiments, the above-described processing module is further configured to: determine one or more of the following for the terminal configuration based on the processing delay: minimum delay between the control channel and the data channel, minimum delay between data channel transmission and data feedback, and minimum delay between channel measurement and measurement result reporting.

[0285] In some embodiments, the aforementioned indication information is also used to indicate the switching delay between different transmit signal processing units.

[0286] In some embodiments, the above-described processing module is further configured to: based on the switching delay, not perform uplink scheduling on the terminal during the period when the terminal switches the transmission signal processing unit.

[0287] Optionally, the transceiver module is used to perform at least one of the communication steps such as sending and / or receiving performed by the network device in any of the above methods (e.g., steps S2101, S2103, S3101, S4101, but not limited thereto), which will not be elaborated here.

[0288] Optionally, the above processing module is used to execute the processing steps performed by the network device in any of the above methods, such as steps S2102, S2104, and S2105.

[0289] 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 or the aforementioned network device), 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.

[0290] 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.

[0291] 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.

[0292] 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 communication steps such as sending and receiving in the above method are performed by the transceivers 7103, and other steps are performed by the processor 7101.

[0293] 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, sensing signal receiving end, receiving circuit, etc., may be used interchangeably.

[0294] 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.

[0295] 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 a standalone device or a 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 sensing signal 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.

[0296] 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.

[0297] Chip 7200 includes one or more processors 7201, which are used to invoke instructions to cause chip 7200 to perform any of the above methods.

[0298] In some embodiments, chip 7200 further includes one or more interface circuits 7202 connected to memory 7203. Interface circuits 7202 can be used to receive signals from memory 7203 or other devices, and can also be used to send signals to memory 7203 or other devices. For example, interface circuit 7202 can read instructions stored in memory 7203 and send those instructions to processor 7201. Optionally, terms such as interface circuit, interface, transceiver pin, and transceiver can be used interchangeably.

[0299] In some embodiments, chip 7200 further includes one or more memories 7203 for storing instructions. Optionally, all or part of the memories 7203 may be located outside of chip 7200.

[0300] This disclosure also proposes a storage medium storing instructions that, when executed on the 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.

[0301] 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.

[0302] This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

[0303] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer programs. When the computer program is loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this disclosure are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer program can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another. For example, the computer program can be transferred from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., high-density digital video discs (DVDs)), or semiconductor media (e.g., solid-state disks (SSDs)).

[0304] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this disclosure.

[0305] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0306] The above description is merely a specific embodiment of this disclosure, but the scope of protection of this disclosure is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this disclosure should be included within the scope of protection of this disclosure. Therefore, the scope of protection of this disclosure should be determined by the scope of the claims.

Claims

1. A communication method, characterized in that, The method, executed by a terminal, includes: Sending indication information to network devices, wherein the indication information is used to indicate one or more of the following: Whether the terminal side is equipped with an artificial intelligence (AI) based transmission signal processing unit; The transmission parameters of the terminal-side transmission signal processing unit.

2. The method as described in claim 1, characterized in that, The AI-based transmit signal processing unit includes an AI-based power amplifier.

3. The method as described in any one of claims 1-2, characterized in that, The transmission parameters of the transmission signal processing unit include the error vector amplitude (EVM).

4. The method according to any one of claims 1-3, characterized in that, The indication information is also used to indicate the first network state applicable to the AI-based transmit signal processing unit.

5. The method according to any one of claims 1-4, characterized in that, The indication information is also used to indicate the type of signal that the AI-based transmission signal processing unit can process.

6. The method according to any one of claims 1-5, characterized in that, The indication information is also used to indicate the change parameters of the first signal relative to the second signal, wherein the first signal is transmitted by the AI-based transmission signal processing unit, and the second signal is transmitted by a non-AI-based transmission signal processing unit.

7. The method according to any one of claims 1-6, characterized in that, The indication information is also used to indicate the processing delay of the AI-based transmission signal processing unit.

8. The method according to any one of claims 1-7, characterized in that, The indication information is also used to indicate the switching delay between different transmission signal processing units.

9. A communication method, characterized in that, Performed by a network device, the method includes: The receiving terminal sends an indication message, wherein the indication message is used to indicate one or more of the following: Whether the terminal side is equipped with an artificial intelligence (AI) based transmission signal processing unit; The transmission parameters of the terminal-side transmission signal processing unit.

10. The method as described in claim 9, characterized in that, The AI-based transmit signal processing unit includes an AI-based power amplifier.

11. The method according to any one of claims 9-10, characterized in that, The transmission parameters of the transmission signal processing unit include the error vector amplitude (EVM).

12. The method as described in any one of claims 9-11, characterized in that, The indication information is also used to indicate the first network state applicable to the AI-based transmit signal processing unit.

13. The method as described in claim 12, characterized in that, The method further includes: Based on whether the current second network state matches the first network state, determine whether to control the terminal to start the AI-based transmission signal processing unit.

14. The method as described in claim 12, characterized in that, The method further includes: When the second network state matches the first network state, one or more of the following are performed on the scheduling scheme of the terminal: increasing the modulation and coding scheme (MCS) rate and reducing the transmit power of the terminal.

15. The method according to any one of claims 9-14, characterized in that, The indication information is also used to indicate the type of signal that the AI-based transmit signal processing unit can process, and the method further includes: Based on the type of the received signal, and whether it is the same type of signal that the AI-based transmission signal processing unit can process, it is determined whether the received signal should be corrected.

16. The method as described in claim 15, characterized in that, The step of determining whether to correct the received signal based on whether the type of the received signal is the same as the type of signal that the AI-based transmission signal processing unit can process includes any of the following: If the type of the received signal is the same as the type of signal that the AI-based signal processing unit can process, the received signal will not be modified. If the type of the received signal is different from the type of signal that the AI-based transmission signal processing unit can process, the received signal is corrected.

17. The method according to any one of claims 9-16, characterized in that, The indication information is further used to indicate the change parameters of the first signal relative to the second signal, wherein the first signal is transmitted by the AI-based transmission signal processing unit, and the second signal is transmitted by a non-AI-based transmission signal processing unit. The method further includes: Based on the changing parameters, determine the degree of adjustment to one or more of the following scheduling schemes for the terminal: modulation and coding scheme (MCS) rate, and transmit power.

18. The method according to any one of claims 9-17, characterized in that, The indication information is also used to indicate the processing delay of the AI-based transmit signal processing unit, and the method further includes: Based on the processing delay, one or more of the following are determined for the terminal configuration: minimum delay between the control channel and the data channel, minimum delay between data channel transmission and data feedback, and minimum delay between channel measurement and measurement result reporting.

19. The method according to any one of claims 9-18, characterized in that, The indication information is also used to indicate the switching delay between different transmission signal processing units, and the method further includes: Based on the switching delay, during the period when the terminal switches its transmission signal processing unit, no uplink scheduling is performed on the terminal.

20. A terminal, characterized in that, include: A transceiver module is used to send indication information to network devices, wherein the indication information is used to indicate one or more of the following: Whether the terminal side is equipped with an artificial intelligence (AI) based transmission signal processing unit; The transmission parameters of the terminal-side transmission signal processing unit.

21. A network device, characterized in that, include: A transceiver module is used to receive indication information sent by a terminal, wherein the indication information is used to indicate one or more of the following: Whether the terminal side is equipped with an artificial intelligence (AI) based transmission signal processing unit; The transmission parameters of the terminal-side transmission signal processing unit.

22. A communication device, characterized in that, The communication device is used to perform the method according to any one of claims 1 to 8, 9 to 19.

23. A communication system, characterized in that, The device includes a terminal and a network device, wherein the terminal is configured to implement the method of any one of claims 1 to 8, and the network device is configured to implement the method of any one of claims 9 to 19.

24. A storage medium storing instructions, characterized in that, When the instructions are executed on the communication device, the communication device performs the method as described in any one of claims 1 to 8, 9 to 19.

25. A program product comprising at least one of a program and instructions, characterized in that, When at least one of the programs or instructions is executed by a communication device, it implements the method described in any one of claims 1 to 8 and 9 to 19.

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