Information transmission method and apparatus

Abstract

The present disclosure provides an information transmission method and apparatus. The method executed by a terminal comprises: sending first information to a network device, wherein the first information is used for indicating that the terminal has an AI-based received signal processing unit. In this way, the terminal can send to the network device the first information that the terminal has the AI-based received signal processing unit, so that the network device can use an appropriate scheduling manner to make full use of the advantages of the AI-based received signal processing unit of the terminal, thereby improving communication performance.

Description

Information transmission method and device Technical Field

[0001] This disclosure relates to the field of communication technology, and in particular to an information transmission method and apparatus. Background Technology

[0002] In recent years, Artificial Intelligence (AI) technology has made continuous breakthroughs in multiple fields. The ongoing development of AI-based technologies 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 promoting industrial upgrading across various industries. AI technology is also accelerating its cross-disciplinary integration with other disciplines, combining knowledge from different fields while providing new directions and methods for the development of various disciplines. Summary of the Invention

[0003] This disclosure provides an information transmission method and apparatus for a terminal to send first information to a network device that the terminal has an AI-based receiving signal processing unit, so that the network device can adopt an appropriate scheduling method to fully utilize the advantages of the terminal's AI-based receiving signal processing unit and improve communication performance.

[0004] This disclosure presents an information transmission method and apparatus.

[0005] According to a first aspect of the present disclosure, an information transmission method is proposed, executed by a terminal, comprising: sending first information to a network device, wherein the first information is used to indicate that the terminal has an AI-based signal processing unit.

[0006] In the above embodiments, the terminal can send first information to the network device that the terminal has an AI-based receiving signal processing unit, so that the network device can adopt an appropriate scheduling method to give full play to the advantages of the terminal's AI-based receiving signal processing unit and improve communication performance.

[0007] According to a second aspect of the present disclosure, an information transmission method is proposed, executed by a network device, comprising: receiving first information sent by a terminal, wherein the first information is used to indicate that the terminal has an AI-based receiving signal processing unit.

[0008] In the above embodiments, the network device can determine that the terminal has an AI-based receiving signal processing unit, so as to adopt an appropriate scheduling method to give full play to the advantages of the terminal's AI-based receiving signal processing unit and improve communication performance.

[0009] According to a third aspect of the present disclosure, an information transmission method is proposed, comprising: a terminal sending first information to a network device, wherein the first information is used to indicate that the terminal has an AI-based receiving signal processing unit; and the network device receiving the first information sent by the terminal.

[0010] According to a fourth aspect of the present disclosure, a terminal is provided, comprising: a transceiver module for sending first information to a network device, wherein the first information is used to indicate that the terminal has an AI-based signal processing unit.

[0011] According to a fifth aspect of the present disclosure, a network device is provided, comprising: a transceiver module for receiving first information sent by a terminal, wherein the first information is used to indicate that the terminal has an AI-based received signal processing unit.

[0012] According to a sixth aspect of the present disclosure, a terminal is provided, comprising: one or more processors, wherein the terminal is configured to perform the method described in the first aspect.

[0013] According to a seventh aspect of the present disclosure, a network device is provided, comprising: one or more processors, wherein the network device is configured to perform the method described in the second aspect.

[0014] According to an eighth aspect of the present disclosure, a communication device is provided, comprising: one or more processors; and a memory coupled to the processors, the memory storing instructions which, when executed by the processors, cause the communication device to perform the method as described in at least one of the first and second aspects.

[0015] According to a ninth aspect of the present disclosure, a communication system is provided, comprising: a terminal and a network device; the terminal performs the method as described in the first aspect, and the network device performs the method as described in the second aspect embodiment.

[0016] According to a tenth aspect of the present disclosure, a computer storage medium is provided, wherein the computer storage medium stores computer-executable instructions; when executed by a processor, the computer-executable instructions are capable of implementing the method described in at least one aspect of the first and second aspects.

[0017] According to an eleventh aspect of the present disclosure, a computer program product is provided, wherein the computer program product stores a computer program; after being executed by a processor, the computer program is able to implement the method described in at least one aspect of the first aspect and the second aspect.

[0018] Additional aspects and advantages of this disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this disclosure. Attached Figure Description

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

[0020] Figure 1 is an architecture diagram of a communication system provided in an embodiment of this disclosure;

[0021] Figure 2 is a flowchart of an information transmission method provided in an embodiment of this disclosure;

[0022] Figure 3A is a flowchart of another information transmission method provided in an embodiment of this disclosure;

[0023] Figure 3B is a flowchart of another information transmission method provided in an embodiment of this disclosure;

[0024] Figure 3C is a flowchart of another information transmission method provided in an embodiment of this disclosure;

[0025] Figure 3D is a flowchart of another information transmission method provided in an embodiment of this disclosure;

[0026] Figure 4A is a structural diagram of a terminal provided in an embodiment of this disclosure;

[0027] Figure 4B is a structural diagram of a network device provided in an embodiment of this disclosure;

[0028] Figure 5A is a structural diagram of a communication device provided in an embodiment of this disclosure;

[0029] Figure 5B is a structural diagram of a chip provided in an embodiment of this disclosure. Detailed Implementation

[0030] This disclosure presents an information transmission method and apparatus.

[0031] In a first aspect, embodiments of this disclosure propose an information transmission method executed by a terminal, comprising: sending first information to a network device, wherein the first information is used to indicate that the terminal has an AI-based signal processing unit.

[0032] In the above embodiments, the terminal can send first information to the network device that the terminal has an AI-based receiving signal processing unit, so that the network device can adopt an appropriate scheduling method to give full play to the advantages of the terminal's AI-based receiving signal processing unit and improve communication performance.

[0033] In conjunction with some embodiments of the first aspect, in some embodiments, the AI-based received signal processing unit supports AI-based processing of at least one of the following:

[0034] Channel estimation;

[0035] balanced;

[0036] demodulation;

[0037] Channel decoding;

[0038] Radio frequency reception processing.

[0039] In the above embodiments, the terminal may send a message to the network device that the terminal has an AI-based received signal processing unit for performing at least one of channel estimation, equalization, demodulation, channel decoding, and radio frequency reception processing based on AI. This allows the network device to adopt an appropriate scheduling method when the terminal needs to perform at least one of channel estimation, equalization, demodulation, channel decoding, and radio frequency reception processing, thereby fully leveraging the advantages of the terminal's AI-based received signal processing unit and improving communication performance.

[0040] In conjunction with some embodiments of the first aspect, in some embodiments, the first information is further used to indicate a specified range of conditions applicable to the AI-based receiving signal processing unit of the terminal, wherein the above method further includes: the terminal receiving first indication information sent by the network device, wherein the first indication information is used to instruct the terminal to enable the AI-based receiving signal processing unit for processing, and the first indication information is sent by the network device when it determines, based on the first information, that the data transmission scheduling between the terminal and the network device meets the specified range of conditions.

[0041] In conjunction with some embodiments of the first aspect, in some embodiments, the specified condition range includes at least one of the following:

[0042] Signal-to-interference-plus-noise ratio (SINR) range;

[0043] First movement speed range;

[0044] First position range.

[0045] In the above embodiments, the terminal can send information to the network device about the specified condition range applicable to the AI-based signal receiving processing unit of the terminal. Thus, when the network device determines that the data transmission scheduling between the terminal and the terminal meets the specified condition range, it can instruct the terminal to enable the AI-based signal receiving processing unit for processing, which can give full play to the advantages of the AI-based signal receiving processing unit of the terminal and improve communication performance.

[0046] In conjunction with some embodiments of the first aspect, in some embodiments, the first information is also used to indicate the signal type of the received signal applicable to the AI-based received signal processing unit of the terminal.

[0047] In conjunction with some embodiments of the first aspect, in some embodiments, the signal type includes at least one of the following:

[0048] Data signals;

[0049] Reference signal used for channel measurement.

[0050] In the above embodiments, the terminal can send information about the signal type of the received signal applicable to the AI-based received signal processing unit of the terminal to the network device. In this way, the network device can determine whether the measurement result of the received signal reported by the terminal is determined by the AI-based received signal processing unit, and then determine whether the measurement result of the received signal reported by the terminal needs to be corrected. This fully leverages the advantages of the AI-based received signal processing unit of the terminal and improves communication performance.

[0051] In conjunction with some embodiments of the first aspect, in some embodiments, the first information is also used to indicate the degree of improvement of the signal received by the terminal's AI-based receiving signal processing unit compared to the signal received based on non-AI-based receiving signal processing capabilities.

[0052] In the above embodiments, the terminal can send information to the network device about the degree of improvement of the signal received by the terminal's AI-based receiving signal processing unit compared to the signal received by the non-AI-based receiving signal processing capability. Based on this information, the network device can determine the degree of adjustment to the terminal scheduling scheme, thereby fully leveraging the advantages of the terminal's AI-based receiving signal processing unit and improving communication performance.

[0053] In conjunction with some embodiments of the first aspect, in some embodiments, the first information is also used to indicate the processing delay of the signal received by the terminal's AI-based signal processing unit.

[0054] In the above embodiments, the terminal can send information about the processing delay of the signal received by the terminal's AI-based receiving signal processing unit to the network device. The network device can then determine an appropriate processing interval based on this information, thereby fully leveraging the advantages of the terminal's AI-based receiving signal processing unit and improving communication performance.

[0055] Secondly, embodiments of this disclosure propose an information transmission method executed by a network device, comprising: receiving first information sent by a terminal, wherein the first information is used to indicate that the terminal has an AI-based signal processing unit.

[0056] In the above embodiments, the network device can determine that the terminal has an AI-based receiving signal processing unit, so as to adopt an appropriate scheduling method to give full play to the advantages of the terminal's AI-based receiving signal processing unit and improve communication performance.

[0057] In conjunction with some embodiments of the second aspect, in some embodiments, the AI-based received signal processing unit supports AI-based processing of at least one of the following:

[0058] Channel estimation;

[0059] balanced;

[0060] demodulation;

[0061] Channel decoding;

[0062] Radio frequency reception processing.

[0063] In conjunction with some embodiments of the second aspect, in some embodiments, the first information is further used to indicate a specified range of conditions applicable to the AI-based receiving signal processing unit of the terminal, wherein the above method further includes: the network device determining, based on the first information, that the data transmission scheduling between the network device and the terminal meets the specified range of conditions; the network device sending first indication information to the terminal, wherein the first indication information is used to instruct the terminal to enable the AI-based receiving signal processing unit for processing.

[0064] In conjunction with some embodiments of the second aspect, in some embodiments, the first information is further used to indicate a specified range of conditions applicable to the AI-based receiving signal processing unit of the terminal, wherein the above method further includes: the network device determining the signal processing method used by the terminal according to the first information, wherein the signal processing method is an AI-based receiving signal processing method or a non-AI-based receiving signal processing method; the network device determining the data scheduling method according to the signal processing method used by the terminal.

[0065] In conjunction with some embodiments of the second aspect, in some embodiments, the specified condition range includes at least one of the following:

[0066] SINR range;

[0067] First movement speed range;

[0068] First position range.

[0069] In conjunction with some embodiments of the second aspect, in some embodiments, the first information is further used to indicate the signal type of the received signal applicable to the AI-based received signal processing unit of the terminal, wherein the above method further includes: the network device determining, based on the first information, whether it is necessary to correct the information reported by the terminal in measurement.

[0070] In conjunction with some embodiments of the second aspect, in some embodiments, the network device determines, based on the first information, whether it needs to correct the measurement-reported information of the terminal, including at least one of the following:

[0071] The signal type includes data signals but excludes reference signals used for channel measurements, and it is determined that the channel measurement results reported by the terminal for the reference signals used for channel measurements should be corrected.

[0072] The signal types include data signals and reference signals used for channel measurements, and it is determined that the measurement results of the data signals and reference signals used for channel measurements reported by the terminal will not be corrected.

[0073] In conjunction with some embodiments of the second aspect, in some embodiments, the signal type includes at least one of the following:

[0074] Data signals;

[0075] Reference signal used for channel measurement.

[0076] In conjunction with some embodiments of the second aspect, in some embodiments, the first information is further used to indicate the degree of improvement of the signal received by the terminal based on the AI-based receiving signal processing unit compared to the signal received based on the non-AI-based receiving signal processing capability, wherein the above method further includes: the network device determining the degree of adjustment of the scheduling scheme for scheduling the terminal based on the degree of improvement.

[0077] In conjunction with some embodiments of the second aspect, in some embodiments, the first information is further used to indicate the processing delay of the signal received by the terminal's AI-based receiving signal processing unit, wherein the above method further includes: the network device determining delay information based on the processing delay; and determining a suitable processing interval based on the delay information.

[0078] In conjunction with some embodiments of the second aspect, in some embodiments, the latency information includes at least one of the following:

[0079] The first time delay between the terminal's data signal and the control channel;

[0080] The second delay between data channel transmission and data feedback at the terminal;

[0081] The third delay between the terminal's channel measurement and the reporting of the channel measurement results.

[0082] Thirdly, embodiments of this disclosure propose an information transmission method, comprising: a terminal sending first information to a network device, wherein the first information is used to indicate that the terminal has an AI-based receiving signal processing unit; and the network device receiving the first information sent by the terminal.

[0083] Fourthly, embodiments of this disclosure provide a terminal, including: a transceiver module for sending first information to a network device, wherein the first information is used to indicate that the terminal has an AI-based signal processing unit.

[0084] Fifthly, embodiments of this disclosure provide a network device, including: a transceiver module for receiving first information sent by a terminal, wherein the first information is used to indicate that the terminal has an AI-based signal processing unit.

[0085] In a sixth aspect, a terminal is proposed, comprising: one or more processors, wherein the terminal is used to execute the method described in the first aspect.

[0086] In a seventh aspect, a network device is proposed, comprising: one or more processors, wherein the network device is configured to perform the method described in the second aspect.

[0087] Eighthly, this disclosure provides a communication device comprising: one or more processors; and a memory coupled to the processors, the memory storing instructions which, when executed by the processors, cause the communication device to perform the method described in at least one of the first and second aspects.

[0088] Ninthly, embodiments of this disclosure provide a communication system comprising: a terminal and a network device; wherein the terminal is configured to perform the method as described in the first aspect, and the network device is configured to perform the method as described in the second aspect.

[0089] In a tenth aspect, embodiments of this disclosure provide a storage medium storing instructions that, when executed on a communication device, cause the communication device to perform the method as described in at least one of the first and second aspects.

[0090] In one aspect, embodiments of this disclosure provide a program product that, when executed by a communication device, causes the communication device to perform the method as described in at least one of the first and second aspects.

[0091] In a twelfth aspect, embodiments of this disclosure provide a computer program that, when run on a computer, causes the computer to perform the method as described in at least one of the first and second aspects.

[0092] In a thirteenth aspect, embodiments of this disclosure provide a chip or chip system. The chip or chip system includes processing circuitry configured to perform the methods described in at least one of the first and second aspects described above.

[0093] It is understood that the aforementioned communication equipment, communication system, storage medium, program product, etc., 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.

[0094] This disclosure provides an information transmission method and apparatus. In some embodiments, the terms "information transmission method" and "information processing method" can be used interchangeably.

[0095] 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. In all embodiments of this disclosure, unless otherwise specified or logically conflicting, the terminology and / or descriptions between the embodiments are consistent and can be mutually referenced. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0096] 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.

[0097] 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.

[0098] In the embodiments disclosed herein, "multiple" refers to two or more.

[0099] 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”, etc., may be used interchangeably.

[0100] 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.

[0101] 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.

[0102] 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.

[0103] In some embodiments, “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0104] In some embodiments, terms such as "time / frequency" and "time-frequency domain" refer to the time domain and / or frequency domain.

[0105] 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.

[0106] 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”.

[0107] 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.

[0108] In some embodiments, "network" can be interpreted as devices included in a network (e.g., access network devices, core network devices, etc.).

[0109] 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.

[0110] 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.

[0111] 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.

[0112] 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.

[0113] In some embodiments, the acquisition of data, information, etc., may comply with the laws and regulations of the country where the location is situated.

[0114] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0115] 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.

[0116] Figure 1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure.

[0117] Figure 1 is an architecture diagram of a communication system provided in an embodiment of this disclosure.

[0118] As shown in Figure 1, the communication system 100 includes a terminal 101 and a network device 102.

[0119] In some embodiments, terminal 101 includes, but is not limited to, at least one of the following: mobile phone, wearable device, Internet of Things device, car with communication function, smart car, tablet computer, computer with wireless transceiver function, virtual reality (VR) terminal, augmented reality (AR) terminal, wireless terminal in industrial control, wireless terminal in self-driving, wireless terminal in remote medical surgery, wireless terminal in smart grid, wireless terminal in transportation safety, wireless terminal in smart city, and wireless terminal in smart home.

[0120] In some embodiments, network device 102 may include at least one of access network device and core network device.

[0121] 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), radio backhaul device, radio network controller (RNC), base station controller (BSC), base transceiver station (BTS), base band unit (BBU), mobile switching center, base station in a 6G communication system, open RAN, cloud RAN, base station in other communication systems, and access node in a Wi-Fi system.

[0122] In some embodiments, the access network device may be a satellite.

[0123] In some embodiments, the core network equipment may be a single device, multiple devices, or a group of devices, including all or part of a first network element, a second network element, a third network element, a fourth network element, etc. Network elements may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).

[0124] In some embodiments, the first network element is, for example, an access and mobility management function (AMF) network element.

[0125] In some embodiments, the second network element is, for example, a Location Management Function (LMF) network element.

[0126] In some embodiments, the third network element is, for example, a sensing function (SF) network element.

[0127] In some embodiments, the fourth network element is, for example, a network repository function (NRF) network element.

[0128] In some embodiments, the first network element is used to implement terminal access management and mobility management. It is responsible for terminal state maintenance, terminal reachability management, mobility management (MM), forwarding of non-access stratum (NAS) messages, and forwarding of session management (SM) N2 messages.

[0129] In some embodiments, the second network element is used to coordinate and schedule the resources required for the location of the terminal.

[0130] In some embodiments, the third network element is used to perform wireless sensing using access network equipment or terminals to realize sensing services.

[0131] In some embodiments, the fourth network element is used for dynamic registration of network function service capabilities and network function discovery.

[0132] In some embodiments, at least one of the first network element, the second network element, and the third network element can be independent of the core network equipment.

[0133] In some embodiments, at least one of the first network element, the second network element, and the third network element may be part of the core network equipment.

[0134] 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.

[0135] 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. Each main body may be physical or virtual. 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.

[0136] 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), IEEE 802.20, and Ultra-Wideband. The technologies and applications include: UWB (Ultra-Wideband), 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 information transmission methods, and next-generation systems built upon them. Furthermore, multiple systems can be combined (e.g., a combination of LTE or LTE-A with 5G).

[0137] The widespread application of fifth-generation (5G) technology is bringing tremendous changes to all aspects of people's lives. According to the vision of the International Telecommunication Union (ITU), 5G will permeate all areas of future society, building a comprehensive information ecosystem centered on the user. Specifically, 5G user experience speeds can reach 100 Mbit / s to 1 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 10 Mbit / s / m², supporting more than a thousandfold increase in mobile traffic; 5G connection density can reach 1 million / m², effectively supporting massive numbers of IoT devices; 5G transmission latency can be down to the millisecond level, meeting the stringent requirements of vehicle-to-everything (V2X) and industrial control; 5G can support mobile speeds of 500 km / h, providing 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.

[0138] In recent years, artificial intelligence (AI) technology has achieved continuous breakthroughs in multiple fields. The ongoing development of AI-based technologies 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 promoting industrial upgrading across various industries. AI technology is also accelerating its cross-disciplinary integration with other disciplines, combining knowledge from different fields while providing new directions and methods for the development of various disciplines.

[0139] In some embodiments, a research project on the application of artificial intelligence (AI) technology in wireless air interfaces is proposed. This project aims to investigate how to introduce AI technology into wireless air interfaces and explore how AI technology can assist in improving wireless air interface transmission technology.

[0140] In research geared towards 6G, 6G systems can provide AI services across more dimensions. This mainly includes the following three aspects:

[0141] AI-enabled connectivity. This means using AI to improve communication performance, such as using AI for beam management;

[0142] Computing power services. This means that the network side can provide computing power to the terminal side, such as helping the terminal to perform model training and model inference.

[0143] Ultimate AI service. This involves enhancing the network transmission pipeline to improve the user experience of AI application services.

[0144] In some embodiments, an AI-based receiver is proposed. At the terminal side, when processing the received signal, it undergoes reception and processing by radio frequency (RF) devices, while simultaneously, multiple processes such as channel estimation, equalization, demodulation, and channel decoding are performed in the baseband. During RF processing, imperfections in the RF devices can potentially introduce signal distortion. Furthermore, channel estimation errors exist, and interference and noise can affect the performance of equalization, demodulation, and channel decoding processes.

[0145] To improve the processing performance of received signals, AI-based receivers have been proposed. The basic design concept of AI-based receivers is to replace traditional processing procedures with AI models. For example, during or after RF processing, the received signal is corrected to remove imperfections introduced by the devices; AI models are used in channel estimation to improve its accuracy; and AI models are used in equalization, modulation, and decoding processes to enhance reception performance.

[0146] In some embodiments, for the corresponding terminal, there are two processing methods for the received signal: one is the traditional non-AI-based processing method, and the other is the AI-based processing method.

[0147] In some embodiments, AI-based processing methods, due to limitations in generalization, cannot be used in all scenarios and can only be applied in specific ones. Furthermore, in environments where AI is applicable, using AI-based received signal processing methods often yields better reception performance.

[0148] Traditionally, it's generally believed that AI-based receivers are implemented as algorithms on the terminal itself and don't need to be reported to network equipment. However, considering that terminals with AI-based receiver signal processing units can achieve better signal reception quality, network equipment needs to use more suitable scheduling methods to fully leverage the advantages of the terminal's AI-based receiver signal processing unit.

[0149] Based on this, in this embodiment of the disclosure, the terminal sends first information to the network device, wherein the first information is used to indicate that the terminal has an AI-based receiving signal processing unit. Thus, the terminal can send the first information indicating that it has an AI-based receiving signal processing unit to the network device, allowing the network device to adopt an appropriate scheduling method to fully utilize the advantages of the terminal's AI-based receiving signal processing unit and improve communication performance.

[0150] Figure 2 is an interactive schematic diagram illustrating an information transmission method according to an embodiment of the present disclosure. As shown in Figure 2, the present disclosure relates to an information transmission method, which includes:

[0151] S201, the terminal sends the first information to the network device.

[0152] In some embodiments, the network device receives first information sent by the terminal, but is not limited thereto. The network device may also receive first information sent by other entities other than the terminal, in which case S201 may be omitted.

[0153] In some embodiments, the network device obtains the first information specified by the protocol, in which case S201 can be omitted.

[0154] In some embodiments, the network device obtains the first information from the upper layer(s), in which case S201 can be omitted.

[0155] In some embodiments, the network device processes the information to obtain the first information, in which case S201 can be omitted.

[0156] In some embodiments, the network device autonomously implements the function indicated by the first information, or the above function is a default or default value, in which case S201 can be omitted.

[0157] In some embodiments, the first information is used to indicate that the terminal has an AI-based received signal processing unit.

[0158] In some embodiments, the first information is used to indicate that the terminal supports AI-based processing of received signals.

[0159] In some embodiments, the first information includes information about the AI ​​model, indicating that the terminal has a signal receiving processing unit based on the AI ​​model indicated by the information about the AI ​​model, or indicating that the terminal supports signal receiving processing based on the AI ​​model indicated by the information about the AI ​​model.

[0160] In some embodiments, the AI-based received signal processing unit supports AI-based processing of at least one of the following:

[0161] Channel estimation;

[0162] balanced;

[0163] demodulation;

[0164] Channel decoding;

[0165] Radio frequency reception processing.

[0166] In some embodiments, the first information is used to indicate that the terminal supports at least one of AI-based channel estimation, equalization, demodulation, channel decoding, and radio frequency reception processing.

[0167] In some embodiments, the first information is used to indicate that the terminal has an AI-based received signal processing unit that supports at least one of AI-based channel estimation, equalization, demodulation, channel decoding, and radio frequency received processing.

[0168] In some embodiments, the first information is used to indicate that the terminal supports AI-based processing of received signals, and supports at least one of AI-based channel estimation, equalization, demodulation, channel decoding, and radio frequency reception processing.

[0169] For example, the first information is used to indicate that the terminal supports AI-based channel estimation, wherein if the terminal supports AI-based channel estimation, the terminal is able to use one or more AI models to perform channel estimation.

[0170] For example, the first information is used to indicate that the terminal supports AI-based equalization (removing channel effects). Wherein, if the terminal supports AI-based equalization, the terminal can use one or more AI models for equalization.

[0171] For example, the first information is used to indicate that the terminal supports AI-based demodulation. Wherein, if the terminal supports AI-based demodulation, the terminal can use one or more AI models for demodulation.

[0172] For example, the first information is used to indicate that the terminal supports AI-based channel decoding. Wherein, if the terminal supports AI-based channel decoding, the terminal can use one or more AI models for channel decoding.

[0173] For example, the first information is used to indicate that the terminal supports AI-based radio frequency reception processing. Wherein, if the terminal supports AI-based radio frequency reception processing, the terminal can use one or more AI models to perform radio frequency reception processing.

[0174] In some embodiments, the terminal determines to send the first information to the network device on its own, or sends the first information to the network device based on the instruction of the network device, or determines to send the first information to the network device based on the protocol agreement.

[0175] For example, if the terminal determines on its own or based on a protocol agreement that it needs to reach an agreement with the network device on whether the terminal should enable the AI-based signal processing unit for processing, it may decide to send the first information to the network device.

[0176] For example, if the terminal receives an instruction from the network device instructing the terminal to report whether it supports processing received signals based on AI, then the terminal determines to send first information to the network device.

[0177] In some embodiments, the terminal may reuse existing signaling or messages to send first information to the network device, or send first information to the network device using new signaling or messages.

[0178] In some embodiments, the terminal uses at least one of radio resource control (RRC) and media access control control element (MAC CE) to send third information to the network device.

[0179] In this embodiment of the disclosure, the network device receives first information sent by the terminal and can determine whether the terminal has an AI-based received signal processing unit and whether it supports AI-based received signal processing. If it is determined that the terminal has an AI-based received signal processing unit, the network device can instruct the terminal to enable the AI-based received signal processing unit for processing.

[0180] In some embodiments, the first information is further used to indicate a specified range of conditions applicable to the AI-based receiving signal processing unit of the terminal, wherein the above method further includes: the terminal receiving first indication information sent by the network device, wherein the first indication information is used to instruct the terminal to enable the AI-based receiving signal processing unit to perform processing, and the first indication information is sent by the network device when it determines, based on the first information, that the data transmission scheduling between the network device and the terminal meets the specified range of conditions.

[0181] In this embodiment of the disclosure, the network device receives first information sent by the terminal. This first information indicates a specified range of conditions applicable to the AI-based received signal processing unit of the terminal. If the specified range of conditions is met, it can be determined that the AI-based received signal processing unit of the terminal is applicable, meaning the terminal can perform received signal processing based on AI. Further, the network device can determine whether to control the terminal to enable the AI-based received signal processing unit, i.e., whether to control the terminal to perform received signal processing based on AI, based on the current network conditions.

[0182] In this embodiment, the terminal sends first information to the network device. This first information indicates a specified range of conditions applicable to the terminal's AI-based receiving signal processing unit. When the network device determines that the data transmission scheduling between it and the terminal meets the specified range of conditions, it can send first indication information to the terminal, instructing the terminal to activate the AI-based receiving signal processing unit for processing. This fully utilizes the terminal's AI-based receiving signal processing unit, improving communication performance.

[0183] In some embodiments, the first information is further used to indicate a specified range of conditions applicable to the AI-based receiving signal processing unit of the terminal, wherein the above method further includes: the network device determining the signal processing method used by the terminal according to the first information, wherein the signal processing method is an AI-based receiving signal processing method or a non-AI-based receiving signal processing method; and the network device determining the data scheduling method according to the signal processing method used by the terminal.

[0184] In this embodiment of the disclosure, the network device receives first information sent by the terminal. This first information indicates a specified range of conditions applicable to the AI-based received signal processing unit of the terminal. If the specified range of conditions is met, it can be determined that the AI-based received signal processing unit of the terminal is in a working state, meaning the terminal is performing received signal processing based on AI. Furthermore, the network device can predict that the terminal's received signal processing is stronger than non-AI processing, and therefore can use a scheduling scheme with higher spectral efficiency, such as a higher modulation and coding scheme (MCS), for data scheduling.

[0185] Understandably, the specified range of conditions applicable to the AI-based receiving signal processing unit of the terminal can indicate that, under the specified range of conditions, the effect achieved by the terminal's AI-based receiving signal processing unit in receiving signal processing is better than the effect achieved by the terminal's non-AI-based receiving signal processing method; or it can indicate that, under the specified range of conditions, the effect achieved by the terminal's AI-based receiving signal processing unit in receiving signal processing is worse than the effect achieved by the terminal's non-AI-based receiving signal processing method.

[0186] For example, within the SINR range, the terminal performs received signal processing based on the AI-based received signal processing unit, such as channel estimation based on AI. This achieves better results than channel estimation based on non-AI, because in an environment where the SINR falls within that SINR range, channel estimation based on AI, i.e., using an AI model, can better extract channel features from the received complex signals.

[0187] For example, within a first moving speed range, the terminal performs receiving signal processing based on the AI-based receiving signal processing unit, such as performing radio frequency receiving processing based on AI. This achieves better results than performing radio frequency receiving processing based on non-AI, because when the terminal's moving speed is within the first moving speed range, performing radio frequency receiving processing based on AI, i.e., using an AI model, can more effectively address issues such as Doppler shift.

[0188] In some embodiments, the specified condition range includes at least one of the following:

[0189] SINR range;

[0190] First movement speed range;

[0191] First position range.

[0192] In this embodiment, the terminal sends first information to the network device. The first information indicates that the specified condition range applicable to the AI-based received signal processing unit of the terminal is the SINR range. When the network device determines that the data transmission scheduling between it and the terminal satisfies the SINR requirement within the SINR range, it can send first indication information to the terminal, instructing the terminal to activate the AI-based received signal processing unit for processing. This fully utilizes the terminal's AI-based received signal processing unit, improving communication performance.

[0193] In this embodiment, the terminal sends first information to the network device. This first information indicates that the specified condition range applicable to the AI-based received signal processing unit of the terminal is the SINR range. The network device can determine whether the AI-based received signal processing unit of the terminal is in a working state based on whether the current SINR is within the SINR range. Furthermore, a suitable scheduling scheme can be adopted based on whether the AI-based received signal processing unit of the terminal is in a working state. This fully utilizes the terminal's AI-based received signal processing unit and improves communication performance.

[0194] In this embodiment, the terminal sends first information to the network device. The first information indicates that the specified condition range applicable to the AI-based receiving signal processing unit of the terminal is a first moving speed range. When the network device determines that the data transmission scheduling between it and the terminal satisfies the terminal's moving speed within the first moving speed range, it can send first indication information to the terminal, instructing the terminal to activate the AI-based receiving signal processing unit for processing. This fully utilizes the terminal's AI-based receiving signal processing unit, improving communication performance.

[0195] In this embodiment, the terminal sends first information to the network device. This first information indicates that the specified condition range applicable to the AI-based receiving signal processing unit of the terminal is the SINR range. The network device can determine whether the AI-based receiving signal processing unit of the terminal is operational based on whether the current moving speed of the terminal is within the first moving speed range. Furthermore, a suitable scheduling scheme can be adopted based on whether the AI-based receiving signal processing unit of the terminal is operational. This fully utilizes the terminal's AI-based receiving signal processing unit, improving communication performance.

[0196] In this embodiment, the terminal sends first information to the network device. This first information indicates that the specified condition range applicable to the AI-based receiving signal processing unit of the terminal is the location range of the terminal. If the network device determines that the data transmission scheduling between it and the terminal satisfies the terminal's location within the first location range, it can send first indication information to the terminal, instructing the terminal to activate the AI-based receiving signal processing unit for processing. This fully utilizes the terminal's AI-based receiving signal processing unit, improving communication performance.

[0197] In this embodiment, the terminal sends first information to the network device. This first information indicates that the specified condition range applicable to the AI-based received signal processing unit of the terminal is the SINR range. The network device can determine whether the AI-based received signal processing unit of the terminal is in a working state based on whether the current location of the terminal is within the first location range. Furthermore, a suitable scheduling scheme can be adopted based on whether the AI-based received signal processing unit of the terminal is in a working state. This fully utilizes the terminal's AI-based received signal processing unit and improves communication performance.

[0198] In some embodiments, the first information is further used to indicate the signal type of the received signal applicable to the AI-based received signal processing unit of the terminal, wherein the above method further includes: the network device determining, based on the first information, whether it is necessary to correct the measurement and reporting information of the terminal.

[0199] In this embodiment, the terminal sends first information to the network device. The first information indicates the signal type applicable to the received signal by the terminal's AI-based receiving signal processing unit. The network device can determine whether to correct the measurement report information from the terminal based on the first information. Specifically, if the measurement result reported by the terminal is a signal included in the signal type, the network device can determine that no correction is needed. If the measurement result reported by the terminal is a signal other than the signal type, the network device can determine that correction is needed. This fully utilizes the terminal's AI-based receiving signal processing unit, improving communication performance.

[0200] In some embodiments, the signal type includes at least one of the following:

[0201] Data signals;

[0202] Reference signal used for channel measurement.

[0203] In some embodiments, the network device determines, based on the first information, whether the measurement-reported information of the terminal needs to be corrected, including at least one of the following:

[0204] The signal type includes data signals but excludes reference signals used for channel measurements, and it is determined that the channel measurement results reported by the terminal for the reference signals used for channel measurements should be corrected.

[0205] The signal types include data signals and reference signals used for channel measurements, and it is determined that the measurement results of the data signals and reference signals used for channel measurements reported by the terminal will not be corrected.

[0206] In this embodiment, the terminal sends first information to the network device. The first information indicates that the signal type of the received signal applicable to the AI-based receiving signal processing unit of the terminal is a data signal. The network device can determine from the first information that it is unnecessary to modify the information reported by the terminal regarding the measurement of the data signal. This fully utilizes the terminal's AI-based receiving signal processing unit, improving communication performance.

[0207] In this embodiment, the terminal sends first information to the network device. This first information indicates that the signal type applicable to the AI-based receiving signal processing unit of the terminal does not include data signals. The network device can determine the need based on the first information and correct the information reported by the terminal regarding data signal measurements. This fully utilizes the terminal's AI-based receiving signal processing unit, improving communication performance.

[0208] In this embodiment, the terminal sends first information to the network device. This first information indicates that the signal type of the received signal applicable to the AI-based received signal processing unit of the terminal is a reference signal for channel measurement. The network device can determine from the first information that it is unnecessary to modify the information reported by the terminal regarding the measurement of the reference signal for channel measurement. This fully utilizes the terminal's AI-based received signal processing unit, improving communication performance.

[0209] In this embodiment, the terminal sends first information to the network device. This first information indicates that the signal type applicable to the AI-based received signal processing unit of the terminal does not include a reference signal used for channel measurement. The network device can determine the need based on the first information and correct the information reported by the terminal regarding the measurement of the reference signal used for channel measurement. This fully utilizes the terminal's AI-based received signal processing unit, improving communication performance.

[0210] In some embodiments, the first information is further used to indicate the degree of improvement of the signal received by the terminal's AI-based receiving signal processing unit compared to the signal received by the non-AI-based receiving signal processing unit, wherein the above method further includes: the network device determining the degree of adjustment of the scheduling scheme for scheduling the terminal based on the degree of improvement.

[0211] In this embodiment of the present disclosure, the terminal sends first information to the network device. The first information indicates the degree of improvement of the signal received by the terminal's AI-based receiving signal processing unit compared to the signal received by the non-AI-based receiving signal processing unit. The network device can determine the degree of adjustment of the scheduling scheme for scheduling the terminal based on the degree of improvement.

[0212] In some embodiments, the first information is further used to indicate the processing delay of the signal received by the terminal's AI-based receiving signal processing unit, wherein the above method further includes: the network device determining delay information based on the processing delay; and the network device determining a suitable processing interval based on the delay information.

[0213] In this embodiment of the present disclosure, the terminal sends first information to the network device. The first information indicates the processing delay of the signal received by the terminal's AI-based signal processing unit. The network device can determine the delay information based on the processing delay. The network device determines the appropriate processing interval based on the delay information.

[0214] In some embodiments, the latency information includes at least one of the following:

[0215] The first time delay between the terminal's data signal and the control channel;

[0216] The second delay between data channel transmission and data feedback at the terminal;

[0217] The third delay between the terminal's channel measurement and the reporting of the channel measurement results.

[0218] In this embodiment of the disclosure, the network device determines a first delay between the terminal's data signal and the control channel based on the processing delay, wherein the first delay is the minimum delay between the terminal's data signal and the control channel.

[0219] In this embodiment of the disclosure, the network device determines a second delay between the data channel transmission and data feedback of the terminal based on the processing delay, wherein the second delay is the minimum delay between the data channel transmission and data feedback of the terminal.

[0220] In this embodiment of the present disclosure, the network device determines a third delay between the terminal's channel measurement and the reporting of the channel measurement result based on the processing delay, wherein the third delay is the minimum delay between the terminal's channel measurement and the reporting of the channel measurement result.

[0221] By implementing the embodiments of this disclosure, the terminal can send first information to the network device that the terminal has an AI-based receiving signal processing unit, so that the network device can adopt an appropriate scheduling method to give full play to the advantages of the terminal's AI-based receiving signal processing unit and improve communication performance.

[0222] In some embodiments, the names of information, etc., are not limited to the names described in the embodiments. Terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0223] In some embodiments, the terms "synchronization signal (SS)," "synchronization signal block (SSB)," "reference signal (RS)," "pilot," and "pilot signal" can be used interchangeably.

[0224] In some embodiments, "acquire," "get," "obtain," "receive," "transmit," "bidirectional transmission," and "send and / or receive" can be used interchangeably and can be interpreted as receiving from other entities, acquiring from protocols, acquiring from higher layers, obtaining through self-processing, or autonomous implementation. Protocols include, for example, at least one of the 3GPP protocol, Wi-Fi protocol, and audio and / or video protocols.

[0225] In some embodiments, terms such as “send,” “transmit,” “report,” “distribute,” “transfer,” “bidirectional transmission,” “send and / or receive” can be used interchangeably.

[0226] In some embodiments, terms such as "certain," "preset," "default," "set," "indicated," "a certain," "any," and "first" can be used interchangeably. "Certain A," "preset A," "default A," "set A," "indicated A," "a certain A," "any A," and "first A" can be interpreted as A pre-defined in a protocol or the like, or as A obtained through setting, configuration, or instruction, or as specific A, a certain A, any A, or first A, but are not limited thereto.

[0227] In some embodiments, the determination or judgment can be made by a value represented by 1 bit (0 or 1), or by a true or false value (boolean), or by a comparison of numerical values ​​(e.g., a comparison with a predetermined value), but is not limited thereto.

[0228] In some embodiments, the steps and their optional implementations in other embodiments described before or after this embodiment, as well as other related parts in the specification, can be referred to, and will not be repeated here.

[0229] Figure 3A is an interactive schematic diagram illustrating an information transmission method according to an embodiment of the present disclosure. As shown in Figure 3A, the present disclosure relates to an information transmission method, which includes:

[0230] S301A, the terminal sends the first information to the network device.

[0231] The optional implementation of S301A can be found in the optional implementation of S201 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0232] In some embodiments, the first information is used to indicate that the terminal has an AI-based signal processing unit.

[0233] In some embodiments, the first information is further used to indicate a specified range of conditions applicable to the AI-based received signal processing unit of the terminal.

[0234] In some embodiments, the specified condition range includes at least one of the following:

[0235] SINR range;

[0236] First movement speed range;

[0237] First position range.

[0238] S302A: Based on the first information, the network device determines that the data transmission scheduling between the network device and the terminal meets the specified conditions.

[0239] The signal processing method can be either AI-based or non-AI-based.

[0240] S303A, the network device sends the first instruction information to the terminal.

[0241] The first instruction information is used to instruct the terminal to enable the AI-based received signal processing unit for processing.

[0242] The optional implementations of S302A and S303A can be found in the optional implementation of S201 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0243] In some embodiments, the steps and their optional implementations in other embodiments described before or after this embodiment, as well as other related parts in the specification, can be referred to, and will not be repeated here.

[0244] Figure 3B is an interactive schematic diagram illustrating an information transmission method according to an embodiment of the present disclosure. As shown in Figure 3B, the present disclosure relates to an information transmission method, which includes:

[0245] S301B, the terminal sends the first information to the network device.

[0246] The optional implementation of S301B can be found in the optional implementation of S201 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0247] In some embodiments, the first information is used to indicate that the terminal has an AI-based signal processing unit.

[0248] In some embodiments, the first information is further used to indicate the signal type of the received signal applicable to the AI-based received signal processing unit of the terminal.

[0249] In some embodiments, the signal type includes at least one of the following:

[0250] Data signals;

[0251] Reference signal used for channel measurement.

[0252] S302B: Based on the first information, the network device determines whether it is necessary to correct the measurement and reporting information of the terminal.

[0253] In some embodiments, the network device determines, based on the first information, whether the measurement-reported information of the terminal needs to be corrected, including at least one of the following:

[0254] The signal type includes data signals but excludes reference signals used for channel measurements, and it is determined that the channel measurement results reported by the terminal for the reference signals used for channel measurements should be corrected.

[0255] The signal types include data signals and reference signals used for channel measurements, and it is determined that the measurement results of the data signals and reference signals used for channel measurements reported by the terminal will not be corrected.

[0256] The optional implementation of S302B can be found in the optional implementation of S201 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0257] In some embodiments, the steps and their optional implementations in other embodiments described before or after this embodiment, as well as other related parts in the specification, can be referred to, and will not be repeated here.

[0258] Figure 3C is an interactive schematic diagram illustrating an information transmission method according to an embodiment of the present disclosure. As shown in Figure 3C, the present disclosure relates to an information transmission method, which includes:

[0259] S301C: The terminal sends the first information to the network device.

[0260] The optional implementation of S301C can be found in the optional implementation of S201 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0261] In some embodiments, the first information is used to indicate that the terminal has an AI-based signal processing unit.

[0262] In some embodiments, the first information is further used to indicate the degree of improvement of the signal received by the AI-based receiving signal processing unit of the terminal compared to the signal received by the non-AI-based receiving signal processing unit.

[0263] S302C: The network device determines the degree of adjustment of the scheduling scheme for scheduling terminals based on the degree of improvement.

[0264] The optional implementation of S302C can be found in the optional implementation of S201 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0265] In some embodiments, the steps and their optional implementations in other embodiments described before or after this embodiment, as well as other related parts in the specification, can be referred to, and will not be repeated here.

[0266] Figure 3D is an interactive schematic diagram illustrating an information transmission method according to an embodiment of the present disclosure. As shown in Figure 3D, the present disclosure relates to an information transmission method, which includes:

[0267] S301D: The terminal sends the first information to the network device.

[0268] The optional implementation of S301D can be found in the optional implementation of S201 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0269] In some embodiments, the first information is used to indicate that the terminal has an AI-based signal processing unit.

[0270] In some embodiments, the first information is further used to indicate the processing delay of the signal received by the terminal's AI-based receiving signal processing unit.

[0271] The S302D network device determines latency information based on processing latency, and then determines the appropriate processing interval based on the latency information.

[0272] In some embodiments, the latency information includes at least one of the following:

[0273] The first time delay between the terminal's data signal and the control channel;

[0274] The second delay between data channel transmission and data feedback at the terminal;

[0275] The third delay between the terminal's channel measurement and the reporting of the channel measurement results.

[0276] The optional implementation of S302D can be found in the optional implementation of S201 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0277] In some embodiments, the steps and their optional implementations in other embodiments described before or after this embodiment, as well as other related parts in the specification, can be referred to, and will not be repeated here.

[0278] To facilitate understanding of the embodiments of this disclosure, an exemplary embodiment is provided.

[0279] In an exemplary embodiment, a method for reporting the deployment status of AI receivers on the terminal side is proposed.

[0280] (1) The terminal sends first information to the network, the first information being used to report to the network that an AI-based receiving signal processing unit has been deployed on the terminal side.

[0281] (2) Based on (1), the AI-based received signal processing unit includes at least one of the following:

[0282] - AI-based channel estimation;

[0283] - AI-based balancing;

[0284] - AI-based demodulation;

[0285] - AI-based channel decoding;

[0286] - AI-based radio frequency reception processing.

[0287] Furthermore, the AI-based received signal processing deployed on the terminal side includes single-module processing using AI models for the aforementioned functions, as well as joint processing of multiple modules using AI models. For example, AI models can be used to jointly process demodulation and channel decoding, and AI models can be used to jointly process channel estimation, equalization, demodulation, etc.

[0288] (3) Based on (1) and (2), the first information indicates which modules the AI-based received signal processing unit includes.

[0289] (4) Based on (1), the first information indicates the applicable scope of the AI-based receiving signal processing unit, such as the applicable SINR range, applicable moving speed, indoor or outdoor, etc.

[0290] - On the other hand, when scheduling data transmission on the network side, it can determine whether to control the terminal to start the AI-based receiver based on the current network conditions.

[0291] Alternatively, the network can infer whether the terminal is using an AI-based receiver or a traditional receiver. If it is using an AI-based receiver, the network predicts that the received signal from the terminal is stronger than that of a non-AI-based receiver, and therefore a scheduling scheme with higher spectral efficiency (e.g., a higher MCS) can be used for data scheduling.

[0292] (5) Based on (1), the first information indicates the type of received signal that the AI-based received signal processing unit can enhance: the received signal type includes: data signal, reference signal for channel measurement.

[0293] Correspondingly, based on this information, the network can determine whether the reported measurement data needs to be corrected. For example, if the reference signal used for channel measurement is still processed using traditional methods, while the data processing is based on AI, then the network will correct the channel measurement results reported by the terminal. If both are processed using AI receivers, then the network will not correct the new measurement results.

[0294] (6) Based on (1), the first information also indicates the degree of improvement of the received signal by the AI-based received signal compared to the received signal by a conventional non-AI receiver, for example, an improvement of XdB compared to the received signal by a conventional non-AI receiver.

[0295] - Correspondingly, the network side can use this information to determine the degree of adjustment to the terminal scheduling scheme.

[0296] (7) Based on (1), the first information can further indicate the processing delay of the AI-based receiver.

[0297] - On the other hand, the network side can determine the minimum latency between the terminal's control channel and data channel, the minimum latency between data channel transmission and data feedback, and the minimum latency between channel measurement and measurement result reporting based on the information, so as to finally determine the appropriate processing interval.

[0298] This disclosure also proposes an apparatus (also referred to as a communication device, etc.) for implementing any of the above methods. For example, an apparatus is proposed that includes units or modules for implementing the steps performed by the terminal in any of the above methods. Furthermore, another apparatus is proposed 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.

[0299] 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.

[0300] 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).

[0301] Figure 4A is a schematic diagram of the structure of a terminal proposed in an embodiment of this disclosure. As shown in Figure 4A, the terminal 101 may include at least one of a transceiver module 1011, a processing module 1012, etc.

[0302] In some embodiments, the processing module 1012 is used to determine a target measurement processing method for measuring the reference signal, wherein the target measurement processing method is a first method or a second method, the first method is a measurement processing method based on artificial intelligence (AI), and the second method is a measurement processing method based on non-AI.

[0303] Optionally, the transceiver module 1011 is used to perform at least one of the communication steps (e.g., the communication steps performed by the terminal 101 in S201, S301A-S303A, S301B-S302B, S301C-S302C, S301D-S302D, but not limited thereto) in any of the above methods, which will not be elaborated here. Optionally, the processing module 1012 is used to perform at least one of the other steps (e.g., steps other than the communication steps performed by the terminal 101 in S201, S301A-S303A, S301B-S302B, S301C-S302C, S301D-S302D, but not limited thereto) in any of the above methods, which will not be elaborated here.

[0304] In some embodiments, the transceiver module may include a sending module and / or a receiving module, which may be separate or integrated together.

[0305] In some embodiments, the processing module may be a single module or may include multiple sub-modules. Optionally, the multiple sub-modules may each perform all or part of the steps required by the processing module.

[0306] In some embodiments, the processing module can be interchanged with the processor, and the transceiver module can be interchanged with the transceiver.

[0307] Figure 4B is a schematic diagram of the structure of a network device proposed in an embodiment of this disclosure. As shown in Figure 4B, the network device 102 may include at least one of a transceiver module 1021, a processing module 1022, etc.

[0308] In some embodiments, the transceiver module 1021 is configured to send first indication information to the terminal, wherein the first indication information is configured to instruct the terminal to perform measurement processing on the reference signal using a target measurement processing method, and the first indication information is configured to allow the terminal to determine the target measurement processing method; or to receive first information sent by the terminal, wherein the first information is determined by the terminal to perform measurement processing on the reference signal using a determined measurement processing method; wherein the target measurement processing method is a first method or a second method, the first method is a measurement processing method based on AI, and the second method is a measurement processing method based on non-AI.

[0309] Optionally, the transceiver module 1021 is used to perform at least one of the communication steps such as sending and / or receiving performed by the network device 102 in any of the above methods (e.g., the communication steps such as sending and / or receiving performed by the network device in S201, S301A-S303A, S301B-S302B, S301C-S302C, S301D-S302D, but not limited thereto), which will not be elaborated here. Optionally, the processing module 1022 is used to perform at least one of the other steps performed by the network device 102 in any of the above methods (e.g., other steps besides the communication steps such as sending and / or receiving performed by the network device in S201, S301A-S303A, S301B-S302B, S301C-S302C, S301D-S302D, but not limited thereto), which will not be elaborated here.

[0310] In some embodiments, the transceiver module may include a sending module and / or a receiving module, which may be separate or integrated together.

[0311] In some embodiments, the processing module may be a single module or may include multiple sub-modules. Optionally, the multiple sub-modules may each perform all or part of the steps required by the processing module.

[0312] In some embodiments, the processing module can be interchanged with the processor, and the transceiver module can be interchanged with the transceiver.

[0313] Figure 5A is a schematic diagram of the structure of the communication device 5100 proposed in an embodiment of this disclosure. The communication device 5100 can be a network device (e.g., access network device, core network device, etc.), a terminal (e.g., user equipment, etc.), a chip, chip system, or processor that supports the network device in implementing any of the above methods, or a chip, chip system, or processor that supports the terminal in implementing any of the above methods. The communication device 5100 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.

[0314] As shown in Figure 5A, the communication device 5100 is used to execute any of the above methods. In some embodiments, the communication device 5100 includes one or more processors 5101. The processor 5101 may be a general-purpose processor or a special-purpose processor, such as a baseband processor or a central processing unit. The baseband processor may be used to process communication protocols and communication data, and the central processing unit may be used to control communication devices (e.g., base stations, baseband chips, terminals, terminal chips, DUs or CUs, etc.), execute programs, and process program data. Optionally, the communication device 5100 is used to execute any of the above methods. Optionally, one or more processors 5101 are used to invoke instructions to cause the communication device 5100 to execute any of the above methods.

[0315] In some embodiments, the communication device 5100 further includes one or more transceivers 5102. When the communication device 5100 includes one or more transceivers 5102, the transceivers 5102 perform at least one of the communication steps such as sending and / or receiving in the above-described method (e.g., the sending and / or receiving steps in S201, S301A-S303A, S301B-S302B, S301C-S302C, S301D-S302D, but not limited thereto), and the processor 5101 performs at least one of other steps (e.g., steps other than sending and / or receiving in S201, S301A-S303A, S301B-S302B, S301C-S302C, S301D-S302D, but not limited thereto). In optional embodiments, the transceivers may include a receiver and / or a transmitter, which may be separate or integrated together. Optionally, terms such as transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, and interface can be used interchangeably; terms such as transmitter, transmitter unit, transmitter, and transmitter circuit can be used interchangeably; and terms such as receiver, receiver unit, receiver, and receiver circuit can be used interchangeably.

[0316] In some embodiments, the communication device 5100 further includes one or more memories 5103 for storing data and / or instructions. Optionally, one or more processors 5101 are used to invoke instructions stored in the memory 5103 to cause the communication device 5100 to perform any of the above methods. Optionally, all or part of the memory 5103 may also be located outside the communication device 5100. In an optional embodiment, the communication device 5100 may include one or more interface circuits 5104. Optionally, the interface circuit 5104 is connected to the memory 5103 and can be used to receive data and / or instructions from the memory 5103 or other devices, and can be used to send data and / or instructions to the memory 5103 or other devices. For example, the interface circuit 5104 can read data and / or instructions stored in the memory 5103 and send the data and / or instructions to the processor 5101.

[0317] The communication device 5100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 5100 described in this disclosure is not limited thereto, and the structure of the communication device 5100 may not be limited by FIG. 5A. The communication device may be a standalone device or may be part of a larger device. For example, the communication device may be: (1) a standalone integrated circuit IC, or chip, or chip system or subsystem; (2) a collection of one or more ICs, optionally, the IC collection may also include storage components for storing data, programs and / or instructions; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, terminal, smart terminal, cellular phone, wireless device, handheld device, mobile unit, vehicle device, network device, cloud device, artificial intelligence device, etc.; (6) others, etc.

[0318] Figure 5B is a schematic diagram of the structure of chip 5200 according to an embodiment of this disclosure. For cases where the communication device 5100 can be a chip or a chip system, please refer to the schematic diagram of chip 5200 shown in Figure 5B, but it is not limited thereto.

[0319] Chip 5200 includes one or more processors 5201. Chip 5200 is used to perform any of the methods described above.

[0320] In some embodiments, chip 5200 further includes one or more interface circuits 5202. Optionally, terms such as interface circuit, interface, and transceiver pin can be used interchangeably. In some embodiments, chip 5200 further includes one or more memories 5203 for storing data and / or instructions. Optionally, all or part of the memories 5203 may be located outside of chip 5200. Optionally, the interface circuit 5202 is connected to the memories 5203, and the interface circuit 5202 can be used to receive data and / or instructions from the memories 5203 or other devices, and the interface circuit 5202 can be used to send data and / or instructions to the memories 5203 or other devices. For example, the interface circuit 5202 can read data and / or instructions stored in the memories 5203 and send the data and / or instructions to the processor 5201.

[0321] In some embodiments, the interface circuit 5202 performs at least one of the communication steps such as sending and / or receiving in the above-described method (e.g., the sending and / or receiving steps in S201, S301A-S303A, S301B-S302B, S301C-S302C, S301D-S302D, but not limited thereto). The interface circuit 5202 performing the communication steps such as sending and / or receiving in the above-described method refers, for example, to the interface circuit 5202 performing data and / or instruction interaction between the processor 5201, chip 5200, memory 5203, or transceiver device. In some embodiments, the processor 5201 performs at least one of other steps (e.g., steps other than sending and / or receiving in S201, S301A-S303A, S301B-S302B, S301C-S302C, S301D-S302D, but not limited thereto).

[0322] The modules and / or devices described in the various embodiments, such as virtual devices, physical devices, and chips, can be combined or separated arbitrarily as needed. Optionally, some or all steps can also be performed collaboratively by multiple modules and / or devices, which is not limited here.

[0323] This disclosure also proposes a storage medium storing instructions that, when executed on a communication device, cause the communication device 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.

[0324] This disclosure also proposes a program product, including a program and / or instructions, which, when executed by a communication device, cause the communication device to perform any of the above methods. Optionally, the program product is a computer program product. Optionally, the program product is stored on the storage medium.

[0325] This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

[0326] 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.

[0327] 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.

[0328] 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. An information transmission method, characterized in that, The method is executed by a terminal and includes: Send first information to the network device, wherein the first information is used to indicate that the terminal has a receiving signal processing unit based on artificial intelligence (AI).

2. The method as described in claim 1, characterized in that, The AI-based received signal processing unit supports AI-based processing of at least one of the following: Channel estimation; balanced; demodulation; Channel decoding; Radio frequency reception processing.

3. The method as described in claim 1 or 2, characterized in that, The first information is further used to indicate a specified range of conditions applicable to the AI-based received signal processing unit of the terminal, wherein the method further includes: The terminal receives a first indication message sent by the network device, wherein the first indication message is used to instruct the terminal to enable the AI-based received signal processing unit for processing, and the first indication message is sent by the network device when it determines that the data transmission schedule between the terminal and the terminal meets the specified condition range based on the first information.

4. The method as described in claim 3, characterized in that, The specified condition range includes at least one of the following: Signal-to-interference-plus-noise ratio (SINR) range; First movement speed range; First position range.

5. The method according to any one of claims 1 to 3, characterized in that, The first information is also used to indicate the signal type of the received signal applicable to the AI-based received signal processing unit of the terminal.

6. The method as described in claim 5, characterized in that, The signal type includes at least one of the following: Data signals; Reference signal used for channel measurement.

7. The method according to any one of claims 1 to 6, characterized in that, The first information is also used to indicate the degree of improvement of the signal received by the AI-based receiving signal processing unit of the terminal compared to the signal received by the non-AI-based receiving signal processing unit.

8. The method according to any one of claims 1 to 7, characterized in that, The first information is also used to indicate the processing delay of the signal received by the terminal's AI-based signal processing unit.

9. An information transmission method, characterized in that, The method is executed by a network device and includes: The receiving terminal sends first information, wherein the first information is used to indicate that the terminal has an AI-based received signal processing unit.

10. The method as described in claim 9, characterized in that, The AI-based received signal processing unit supports AI-based processing of at least one of the following: Channel estimation; balanced; demodulation; Channel decoding; Radio frequency reception processing.

11. The method as described in claim 9 or 10, characterized in that, The first information is further used to indicate a specified range of conditions applicable to the AI-based received signal processing unit of the terminal, wherein the method further includes: Based on the first information, it is determined that the data transmission scheduling between the terminal and the terminal meets the specified condition range; Send a first indication message to the terminal, wherein the first indication message is used to instruct the terminal to enable the AI-based received signal processing unit to perform processing.

12. The method as described in claim 9 or 10, characterized in that, The first information is further used to indicate a specified range of conditions applicable to the AI-based received signal processing unit of the terminal, wherein the method further includes: Based on the first information, the signal processing method used by the terminal is determined, wherein the signal processing method is an AI-based receiving signal processing method or a non-AI-based receiving signal processing method. The data scheduling method is determined based on the signal processing method used by the terminal.

13. The method as described in claim 11, characterized in that, The specified condition range includes at least one of the following: SINR range; First movement speed range; First position range.

14. The method according to any one of claims 9 to 13, characterized in that, The first information is further used to indicate the signal type of the received signal applicable to the AI-based received signal processing unit of the terminal, wherein the method further includes: Based on the first information, determine whether it is necessary to correct the measurement and reporting information of the terminal.

15. The method as described in claim 14, characterized in that, The step of determining whether the measurement and reporting information of the terminal needs to be corrected based on the first information includes at least one of the following: The signal type includes data signals but excludes reference signals used for channel measurement, and it is determined that the channel measurement results reported by the terminal for measuring the reference signals used for channel measurement should be corrected. The signal types include data signals and reference signals for channel measurement, and it is determined that the measurement results of the data signals and reference signals for channel measurement reported by the terminal will not be corrected.

16. The method as described in claim 14 or 15, characterized in that, The signal type includes at least one of the following: Data signals; Reference signal used for channel measurement.

17. The method according to any one of claims 9 to 16, characterized in that, The first information is further used to indicate the degree of improvement of the signal received by the terminal's AI-based receiving signal processing unit compared to the signal received based on non-AI-based receiving signal processing capabilities, wherein the method further includes: Based on the degree of improvement, the degree of adjustment of the scheduling scheme for scheduling the terminal is determined.

18. The method according to any one of claims 9 to 17, characterized in that, The first information is further used to indicate the processing delay of the signal received by the terminal's AI-based signal processing unit, wherein the method further includes: Based on the processing delay, determine the delay information; Based on the latency information, a suitable processing interval is determined.

19. The method as described in claim 18, characterized in that, The delay information includes at least one of the following: The first time delay between the terminal's data signal and the control channel; The second time delay between data channel transmission and data feedback of the terminal; The third time delay between the terminal's channel measurement and the reporting of the channel measurement results.

20. An information transmission method, characterized in that, include: The terminal sends first information to the network device, wherein the first information is used to indicate that the terminal has an AI-based received signal processing unit; The network device receives the first information sent by the terminal.

21. 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.

22. 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.

23. 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.

24. 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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