CN115884206A

CN115884206A - Data transmission method, terminal and base station

Info

Publication number: CN115884206A
Application number: CN202110885170.2A
Authority: CN
Inventors: 王莹莹; 孙欣; 李娜; 赵芸; 闫敏; 孙军帅
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Communications Ltd Research Institute
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Communications Ltd Research Institute
Priority date: 2021-08-03
Filing date: 2021-08-03
Publication date: 2023-03-31

Abstract

A data transmission method, a terminal and a base station are provided, wherein the method comprises the following steps: and the MAC layer of the base station interacts first data and/or second data with the terminal through an MAC control packet or an MAC control unit, wherein the first data is control signaling of an artificial intelligent AI task, and the second data is AI model parameters and/or data acquisition information. The embodiment of the invention can reduce the time delay of AI data transmission and ensure the reliability of data transmission.

Description

Data transmission method, terminal and base station

Technical Field

The present invention relates to the field of mobile communications technologies, and in particular, to a data transmission method, a terminal, and a base station.

Background

5G and Artificial Intelligence (AI) are gradually merging into people's lives and bring new economic growth trends. With the rapid development of AI technology, in future networks, the architecture of the network will be more and more fused with AI technology. AI will inevitably become an indispensable part of network architecture in the future 6G era.

With the rapid development of AI technology, in future networks, more and more network architectures will be merged with AI technology. The existing AI model is trained on a network side, a part of data of a network or a terminal is collected through the network, AI modeling is carried out, and optimization design is carried out according to a target required to be achieved. The intelligent function and the network function of the scheme are relatively independent. This solution faces some challenges: 1) More and more data need to be reported, and more network bandwidth is additionally occupied. 2) The development of the terminal is more and more intelligent, the intelligence of the terminal is not fully utilized in the current aspect, and end-to-end intelligence cannot be formed. 3) The security of data in a communication network is a sensitive factor, and the prior art has difficulty in ensuring the security of user data.

It can be seen that the combination of the existing network architecture and the AI is still in the early stage of research, and many application scenarios have not been considered in the network architecture, for example, after an intelligent endogenous AI model is introduced, how to reduce the delay of AI data transmission and ensure the reliability of data transmission.

Disclosure of Invention

At least one embodiment of the present invention provides a data transmission method, a terminal, and a base station, which can reduce delay of AI data transmission and ensure reliability of data transmission.

According to an aspect of the present invention, at least one embodiment provides a data transmission method applied to a base station, including:

and the MAC layer of the base station interacts first data and/or second data with the terminal through an MAC control packet or an MAC control unit, wherein the first data is control signaling of an artificial intelligent AI task, and the second data is AI model parameters and/or data acquisition information.

In addition, according to at least one embodiment of the present invention, the base station further includes a first AI function module, and the interacting the first data and/or the second data with the terminal through the MAC control packet or the MAC control element includes:

the MAC layer of the base station receives a first MAC control packet or an MAC control unit sent by the terminal, acquires the first data and/or the second data encapsulated in the first MAC control packet or the MAC control unit, and sends the first data and/or the second data to the first AI function module;

and/or the presence of a gas in the gas,

and the MAC layer of the base station receives the first data and/or the second data sent by the first AI function module, encapsulates the first data and/or the second data sent by the first AI function module into a second MAC control packet or a MAC control unit, and sends the second data to the terminal.

Further in accordance with at least one embodiment of the present invention, the first data includes at least one of the following categories:

an AI connection establishment request signaling;

establishing signaling of AI connection;

signaling for establishing an end-to-end AI task;

stopping or interrupting signaling of the end-to-end AI task;

release signaling of AI connections;

management signaling of the AI model;

configuration signaling for data acquisition;

the second data includes at least one of the following categories:

synchronizing information between a base station and a terminal in an AI model training process;

the preprocessed collected data and/or the label information.

Furthermore, according to at least one embodiment of the present invention, the first MAC control packet or MAC control element and the second MAC control packet or MAC control element are both MAC control packets or MAC control elements in a first format, where the MAC control packet or MAC control element in the first format includes first format indication information, data length indication information, and the first data and/or the second data, where the first format indication information is used to indicate that the first data and/or the second data are carried in the MAC control packet or MAC control element to which the first format indication information belongs.

Furthermore, according to at least one embodiment of the present invention, the obtaining the first data and/or the second data encapsulated in the first MAC control packet or the MAC control unit includes: determining a first format according to the first format indication information in the first MAC control packet or the MAC control unit; analyzing the first MAC control packet or the MAC control unit according to the first format to acquire the first data and/or the second data encapsulated in the first MAC control packet or the MAC control unit;

the encapsulating the first data and/or the second data sent by the first AI function module into a second MAC control packet or a MAC control unit includes: and according to the first format, encapsulating the first data and/or the second data sent by the first AI function module into a second MAC control packet or a MAC control unit.

Further, according to at least one embodiment of the present invention, the first MAC control packet or MAC control element, and the second MAC control packet or MAC control element, each include format indication information; the format indicated by the format indication information corresponds to the category of the first data and/or the second data encapsulated in the MAC control packet or the MAC control unit.

Further, according to at least one embodiment of the present invention, further comprising:

the obtaining the first data and/or the second data encapsulated in the first MAC control packet or the MAC control unit includes: determining a first target format according to the format indication information in the first MAC control packet or the MAC control unit; analyzing the first MAC control packet or the MAC control unit according to the first target format to acquire the first data and/or the second data encapsulated in the first MAC control packet or the MAC control unit;

the encapsulating the first data and/or the second data sent by the first AI function module into a second MAC control packet or a MAC control unit includes: determining a corresponding second target format according to the type of the first data and/or the second data packet sent by the first AI function module; and according to the second target format, encapsulating the first data and/or the second data sent by the first AI function module into a second MAC control packet or a MAC control element, where format indication information in the second MAC control packet or the MAC control element indicates the second target format.

Further in accordance with at least one embodiment of the present invention, the first target format is a second format, a fifth format, a sixth format, or an eighth format; the second target format is a third format, a fourth format, a fifth format, a sixth format or a seventh format; wherein,

the second format corresponds to an establishment request signaling of an AI connection;

the third format corresponds to an AI connection setup signaling;

the fourth format corresponds to setup signaling for end-to-end AI tasks;

the fifth format corresponds to synchronization information between the base station and the terminal in the AI model training process;

the sixth format corresponds to the preprocessed acquired data and/or label information;

the seventh format corresponds to stop or interrupt signaling of an end-to-end AI task;

the eighth format corresponds to release signaling of the AI connection.

Furthermore, according to at least one embodiment of the present invention, the MAC control packet or the MAC control unit of each format includes format indication information, data length indication information, the first data and/or the second data;

the third format, the fourth format, the fifth format, the sixth format, the seventh format and the eighth format further comprise a user identifier for indicating AI connection;

the fourth format, the fifth format, the sixth format and the seventh format further comprise task IDs for indicating AI tasks;

the sixth format also includes a data acquisition ID.

Furthermore, according to at least one embodiment of the present invention, in a case that the first target format determined according to the format indication information in the first MAC control packet or the MAC control element is the second format, the method further includes:

the MAC layer of the base station allocates a user identifier for indicating AI connection for the terminal, and sends the user identifier and an establishment request signaling of the AI connection to the first AI function module;

after receiving the AI connection establishment signaling sent by the first AI function module, the MAC layer of the base station encapsulates the AI connection establishment signaling to obtain the second MAC control packet or the MAC control unit including the format indication information, the user identifier, the data length indication signaling, and the AI connection establishment signaling.

According to another aspect of the present invention, at least one embodiment provides a data transmission method applied to a terminal, including:

and the MAC layer of the terminal interacts first data and/or second data with the base station through an MAC control packet or an MAC control unit, wherein the first data is control signaling of an Artificial Intelligence (AI) task, and the second data is AI model parameters and/or data acquisition information.

In addition, according to at least one embodiment of the present invention, the terminal further includes a second AI function module, and the interacting of the first data and/or the second data with the base station through the MAC control packet or the MAC control element includes:

the MAC layer of the terminal receives the first data and/or the second data sent by the second AI function module, encapsulates the first data and/or the second data sent by the second AI function module into a first MAC control packet or an MAC control unit, and sends the first data and/or the second data to the base station;

and/or the presence of a gas in the gas,

the MAC layer of the terminal receives a second MAC control packet or an MAC control unit sent by the base station, acquires the first data and/or the second data encapsulated in the second MAC control packet or the MAC control unit, and sends the first data and/or the second data to the second AI function module;

an AI connection establishment request signaling;

establishing signaling of AI connection;

signaling for establishing an end-to-end AI task;

end-to-end AI task stop or interrupt signaling;

release signaling of AI connections;

management signaling of the AI model;

configuration signaling for data acquisition;

the second data includes at least one of the following categories:

synchronizing information between a base station and a terminal in the AI model training process;

the preprocessed collected data and/or the label information.

Furthermore, according to at least one embodiment of the present invention, the first MAC control packet or MAC control unit and the second MAC control packet or MAC control unit are both MAC control packets or MAC control units in a first format, where the MAC control packet or MAC control unit in the first format includes first format indication information, data length indication information, and the first data and/or the second data, where the first format indication information is used to indicate that the MAC control packet or MAC control unit to which the first MAC control packet or MAC control unit belongs carries the first data and/or the second data.

Further, according to at least one embodiment of the present invention, the encapsulating the first data and/or the second data transmitted by the second AI function module into a first MAC control packet or a MAC control unit includes: according to the first format, packaging the first data and/or the second data sent by the second AI function module into a first MAC control packet or an MAC control unit;

the obtaining the first data and/or the second data encapsulated in the second MAC control packet or the MAC control unit includes: determining a first format according to the first format indication information in the second MAC control packet or the MAC control unit; and analyzing the second MAC control packet or the MAC control unit according to the first format to acquire the first data and/or the second data encapsulated in the second MAC control packet or the MAC control unit.

Further, in accordance with at least one embodiment of the present invention, there is also provided:

the encapsulating of the first data and/or the second data sent by the second AI function module into a first MAC control packet or a MAC control unit includes: determining a corresponding first target format according to the type of the first data and/or the second data packet sent by the second AI function module; according to the first target format, encapsulating first data and/or second data sent by the second AI function module into a first MAC control packet or a MAC control element, wherein format indication information in the first MAC control packet or the MAC control element indicates the first target format;

the obtaining the first data and/or the second data encapsulated in the second MAC control packet or the MAC control unit includes: determining a second target format according to the format indication information in the second MAC control packet or the MAC control unit; and analyzing the second MAC control packet or the MAC control unit according to the second target format to acquire the first data and/or the second data encapsulated in the second MAC control packet or the MAC control unit.

the third format corresponds to an AI connection setup signaling;

the fourth format corresponds to setup signaling for end-to-end AI tasks;

the sixth format corresponds to the preprocessed collected data and/or the tag information;

the eighth format corresponds to release signaling of the AI connection.

the sixth format further includes a data acquisition ID.

According to another aspect of the present invention, at least one embodiment provides a base station comprising:

the first MAC layer module is used for interacting first data and/or second data with the terminal through an MAC control packet or an MAC control unit, wherein the first data is control signaling of an Artificial Intelligence (AI) task, and the second data is AI model parameters and/or data acquisition information.

According to another aspect of the present invention, at least one embodiment provides a base station comprising: a processor, a memory and a program stored on the memory and executable on the processor, which when executed by the processor implements the steps of the method as described above.

According to another aspect of the present invention, at least one embodiment provides a terminal including:

and the second MAC layer module is used for interacting first data and/or second data with the base station through an MAC control packet or an MAC control unit, wherein the first data is control signaling of an Artificial Intelligence (AI) task, and the second data is AI model parameters and/or data acquisition information.

According to another aspect of the present invention, at least one embodiment provides a terminal including: a processor, a memory and a program stored on the memory and executable on the processor, which when executed by the processor implements the steps of the method as described above.

According to another aspect of the invention, at least one embodiment provides a computer readable storage medium having a program stored thereon, which when executed by a processor, performs the steps of the method as described above.

Compared with the prior art, the data transmission method, the terminal and the base station provided by the embodiment of the invention can reduce the time delay of AI data transmission, ensure the reliability of data transmission, realize the organic integration of a model algorithm, an interactive flow and wireless communication, and achieve the purposes of self-optimization, self-evolution and self-generation of the base station.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:

fig. 1 is a schematic view of an application scenario according to an embodiment of the present invention;

fig. 2 is a flowchart illustrating a data transmission method applied to a base station side according to an embodiment of the present invention;

fig. 3 is a schematic diagram of an interaction flow between a base station and a terminal according to an embodiment of the present invention;

FIG. 4 is a diagram of a MAC control packet or control unit in a first format in accordance with an embodiment of the present invention;

FIG. 5 is a diagram of a MAC control packet or control unit in a second format in accordance with an embodiment of the present invention;

FIG. 6 is a diagram of a MAC control packet or control unit in a third format according to an embodiment of the invention;

fig. 7 is a diagram of a MAC control packet or control unit in a fourth format according to an embodiment of the present invention;

fig. 8 is a diagram of a MAC control packet or control unit in a fifth format according to an embodiment of the present invention;

fig. 9 is a diagram of a MAC control packet or control unit in a sixth format according to an embodiment of the present invention;

fig. 10 is a diagram illustrating a MAC control packet or control unit in a seventh format according to an embodiment of the present invention;

fig. 11 is a diagram of a MAC control packet or control unit in an eighth format according to an embodiment of the present invention;

fig. 12 is a flowchart illustrating that the data transmission method according to the embodiment of the present invention is applied to a terminal side;

fig. 13 is a schematic structural diagram of a base station according to an embodiment of the present invention;

fig. 14 is a schematic structural diagram of a base station according to an embodiment of the present invention;

fig. 15 is a schematic structural diagram of a terminal according to an embodiment of the present invention;

fig. 16 is a schematic structural diagram of a terminal according to an embodiment of the present invention.

Detailed Description

Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

The terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. In the description and in the claims "and/or" means at least one of the connected objects.

The techniques described herein are not limited to NR systems and Long Time Evolution (LTE)/LTE Evolution (LTE-Advanced) systems, and may also be used for various wireless communication systems, such as Code Division Multiple Access (CDMA), time Division Multiple Access (TDMA), frequency Division Multiple Access (FDMA), orthogonal Frequency Division Multiple Access (OFDMA), single carrier Frequency Division Multiple Access (SC-FDMA), and other systems. The terms "system" and "network" are often used interchangeably. CDMA systems may implement Radio technologies such as CDMA2000, universal Terrestrial Radio Access (UTRA), and so on. UTRA includes Wideband CDMA (WCDMA) and other CDMA variants. TDMA systems may implement radio technologies such as Global System for Mobile communications (GSM). The OFDMA system may implement radio technologies such as Ultra Mobile Broadband (UMB), evolved-UTRA (E-UTRA), IEEE 802.21 (Wi-Fi), IEEE802.16 (WiMAX), IEEE 802.20, flash-OFDM, etc. UTRA and E-UTRA are parts of the Universal Mobile Telecommunications System (UMTS). LTE and higher LTE (e.g., LTE-A) are new UMTS releases that use E-UTRA. UTRA, E-UTRA, UMTS, LTE-A, and GSM are described in documents from an organization named "third Generation Partnership project" (3 rd Generation Partnership project,3 GPP). CDMA2000 and UMB are described in documents from an organization named "third generation partnership project 2" (3 GPP 2). The techniques described herein may be used for both the above-mentioned systems and radio technologies, as well as for other systems and radio technologies. However, the following description describes NR systems for purposes of example, and NR terminology is used in much of the description below, although the techniques may also be applied to applications other than NR system applications.

The following description provides examples, and does not limit the scope, applicability, or configuration set forth in the claims. Changes may be made in the function and arrangement of elements discussed without departing from the spirit and scope of the disclosure. Various examples may omit, substitute, or add various procedures or components as appropriate. For example, the methods described may be performed in an order different than described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.

Referring to fig. 1, fig. 1 is a block diagram of a wireless communication system to which an embodiment of the present invention is applicable. The wireless communication system includes a terminal 11 and a network device 12. The terminal 11 may also be referred to as a User terminal or a User Equipment (UE), where the terminal 11 may be a Mobile phone, a Tablet Personal Computer (Tablet Personal Computer), a Laptop Computer (Laptop Computer), a Personal Digital Assistant (PDA), a Mobile Internet Device (MID), a Wearable Device (Wearable Device), or a vehicle-mounted Device, and the specific type of the terminal 11 is not limited in the embodiment of the present invention. The network device 12 may be a Base Station and/or a core network element, wherein the Base Station may be a 5G or later-version Base Station (e.g., a gNB, a 5G NR NB, etc.), or a Base Station in other communication systems (e.g., an eNB, a WLAN access point, or other access points, etc.), where the Base Station may be referred to as a node B, an evolved node B, an access point, a Base Transceiver Station (BTS), a radio Base Station, a radio Transceiver, a Basic Service Set (BSS), an Extended Service Set (ESS), a node B, an evolved node B (eNB), a home node B, a home evolved node B, a WLAN access point, a WiFi node, or some other suitable terminology in the field, as long as the same technical effect is achieved, the Base Station is not limited to a specific technical vocabulary, and it should be noted that the Base Station in the NR system is only taken as an example in the embodiment of the present invention, but the specific type of the Base Station is not limited.

The base stations may communicate with the terminals 11 under the control of a base station controller, which may be part of the core network or some of the base stations in various examples. Some base stations may communicate control information or user data with the core network through a backhaul. In some examples, some of the base stations may communicate with each other, directly or indirectly, over backhaul links, which may be wired or wireless communication links. A wireless communication system may support operation on multiple carriers (waveform signals of different frequencies). A multi-carrier transmitter can transmit modulated signals on the multiple carriers simultaneously. For example, each communication link may be a multi-carrier signal modulated according to various radio technologies. Each modulated signal may be transmitted on a different carrier and may carry control information (e.g., reference signals, control channels, etc.), overhead information, data, and so on.

The base station may communicate wirelessly with the terminals 11 via one or more access point antennas. Each base station may provide communication coverage for a respective coverage area. The coverage area of an access point may be partitioned into sectors that form only a portion of the coverage area. A wireless communication system may include different types of base stations (e.g., macro, micro, or pico base stations). The base stations may also utilize different radio technologies, such as cellular or WLAN radio access technologies. The base stations may be associated with the same or different access networks or operator deployments. The coverage areas of different base stations (including coverage areas of base stations of the same or different types, coverage areas utilizing the same or different radio technologies, or coverage areas belonging to the same or different access networks) may overlap.

The communication links in a wireless communication system may comprise an Uplink for carrying Uplink (UL) transmissions (e.g., from terminal 11 to network device 12) or a Downlink for carrying Downlink (DL) transmissions (e.g., from network device 12 to terminal 11). The UL transmission may also be referred to as reverse link transmission, while the DL transmission may also be referred to as forward link transmission. Downlink transmissions may be made using licensed frequency bands, unlicensed frequency bands, or both. Similarly, uplink transmissions may be made using licensed frequency bands, unlicensed frequency bands, or both.

The embodiment of the invention introduces an intelligent endogenous model parameter transmission method, intelligent is used as a part of a base station, and model parameters are transmitted more quickly and more reliably by combining with a wireless data transmission function, so that the model algorithm, an interaction process and wireless communication are organically integrated, and the purposes of self-optimization, self-evolution and self-generation of the base station are achieved.

Specifically, an embodiment of the present invention provides a method for transmitting AI endogenous data, where the data to be transmitted includes two types, which are respectively represented as first data and second data. The first data is a control signaling of the AI task (herein, the first data is also denoted as AI-C), and may specifically be various information that controls the correct operation of the end-to-end AI task, such as configuration established by the end-to-end AI, configuration for task interruption or stopping, management information of an AI model, configuration information of data acquisition, and the like. The second data is AI model parameters and/or data acquisition information (the first data is also denoted as AI-U herein), and specifically may be synchronization information of the network and the terminal during the training process of the AI model, such as parameter update under federal learning, model migration information in migration learning, or AI model transmission in case of model segmentation in distributed AI, and further includes data acquisition information and/or data tag information according to preprocessing.

Referring to fig. 2 and fig. 3, a data transmission method provided in an embodiment of the present invention, when applied to a base station, includes:

and step 21, the MAC layer of the base station interacts first data and/or second data with the terminal through an MAC control packet or an MAC control unit, where the first data is a control signaling of an artificial intelligence AI task, and the second data is an AI model parameter and/or data acquisition information.

Traditional AI data transmission is via the core network-access network-terminal, and in case of an endogenous AI, intelligence is ubiquitous in the network. The wireless side is also provided with a local agent, and in order to improve the efficiency and reliability of AI data transmission, a new data transmission mode is adopted in the embodiment of the invention.

Through the above steps, the embodiment of the present invention interacts the first data and/or the second data between the terminal and the base station through the MAC control packet or the MAC control unit, and can implement reliable transmission of the AI data.

As shown in fig. 3, the base station further includes a first AI function module for implementing an AI function, and the first data and the second data may be generated by the first AI function module.

In the step 21: the MAC layer of the base station receives a first MAC control packet or an MAC control unit sent by the terminal, acquires the first data and/or the second data encapsulated in the first MAC control packet or the MAC control unit, and sends the first data and/or the second data to the first AI function module;

and/or the presence of a gas in the gas,

In the embodiment of the invention, the MAC layer multiplexes the first data and/or the second data to be transmitted to the Transport Block (TB) and delivers the first data and/or the second data to the physical layer (PHY). And receiving the first data and/or the second data sent by other equipment through the physical layer, demultiplexing the first data and/or the second data, and submitting the first data and/or the second data to the first AI function module. The MAC provides a data transmission service for the reception of the first data and the second data generated by the first AI function module. For the first data and/or the second data generated by the first AI functional module, the MAC forms an MAC control packet or a control unit according to the data and sends the MAC control packet or the control unit to the terminal side through a physical layer; and the receiving terminal side receives the MAC control packet or the control unit through the physical layer, and submits the MAC control packet or the control unit to a second AI functional module of the terminal after demultiplexing. The terminal side forms an MAC control packet or a control unit according to the first data and/or the second data generated by the second AI function module by the MAC, and sends the MAC control packet or the control unit to the network side through the physical layer, and the network side receives the MAC control packet or the control unit through the physical layer, demultiplexes the MAC control packet or the control unit, and submits the demultiplexed MAC control packet or the control unit to the first AI function module of the network. By the method, the processing units for transmitting the AI data can be effectively reduced, and the time delay of AI data transmission is reduced. Meanwhile, the reliability of data can be ensured by mechanisms such as HARQ of the MAC layer.

Specifically, the first data at least includes a data packet of one of the following categories:

a) Establishment request signaling of AI connection.

The AI connection establishment request is usually a data packet sent by the terminal to the network, and is used for the terminal with AI capability in the network to actively report the supported AI capability for subsequently establishing an AI connection.

b) AI connection establishment signaling.

The data packet is a data packet sent to the terminal by the network, and comprises a user ID of the terminal, and is used for establishing AI connection between the network and the terminal. And the base station allocates a user ID corresponding to the AI connection for the terminal, wherein the user ID is the unique identifier for distinguishing the terminal by the AI endogenous module.

c) And signaling the establishment of the end-to-end AI task.

The data packet is sent to the terminal by the network side and used for indicating the terminal to establish a corresponding AI task according to the requirements of the network side. At this time, the first data may include information such as a task ID, an AI model type, initial parameter configuration, one or more identifiers in a user ID, data acquisition requirements and reporting configuration, and a data preprocessing method. The task ID is used for distinguishing different AI tasks, and the task ID carried in the data packet is used for indicating the identifier of the end-to-end AI task to be established. The AI model type and the initial configuration parameter configuration represent the model used by the current AI task, and if the terminal has no model information, the corresponding model is obtained by receiving the initial configuration. The user ID is the user ID in the finger AI connection setup.

d) Stop or interrupt signaling of end-to-end AI tasks.

The MAC control packet or MAC control unit is a data packet sent to the terminal by the network side, and is used to instruct the terminal to stop the ongoing AI task, including AI model calculation, data acquisition, and the like. The packet includes information such as a task ID and a user ID.

e) Release signaling of AI connections.

The MAC control packet or MAC control unit is a data packet sent by the terminal to the network, and is used to indicate to the network that the UE is to release the AI connection. And after receiving the AI connection release message, the network stops the task of AI operation corresponding to the user and releases the user ID identification of the UE.

f) Management signaling of AI models.

g) Configuration signaling for data acquisition.

The second data includes at least one of the following categories:

a) And synchronizing information between the base station and the terminal in the AI model training process.

The MAC control packet or the control unit can be sent to the terminal by the network or sent to the network by the terminal. The method is used for parameter synchronization of a real-time network and a terminal, for example, under the condition of federal learning, the terminal reports local model parameters to the network, and the network generates global model parameters to send the global model parameters to the terminal.

b) The preprocessed collected data and/or label information.

The MAC control packet or the control unit is sent to the network by the terminal or sent to the terminal by the network. According to the configuration of data acquisition in the end-to-end task establishment, a terminal or a network generates a corresponding data acquisition data packet and sends the data packet to an opposite end. The data acquisition data packet carries a task ID corresponding to data acquisition, a model type, a user ID and a data acquisition type ID (determined by initial configuration in end-to-end task establishment). And the terminal transmits the data according to the data processing requirement and format of data acquisition. For example, data collection includes, but is not limited to, raw data reporting, pre-processed data reporting, or data processed by a partial model.

In the embodiment of the present invention, there are two transmission manners of the MAC control packet or the MAC control unit, and as a first transmission manner, the embodiment of the present invention introduces a format of the MAC control packet or the MAC control unit (for convenience of description, referred to as a first format herein), and the first data and the second data are both encapsulated in the MAC control packet or the MAC control unit in the format. The MAC of the opposite terminal receives the MAC control packet or the control unit in the first format, analyzes corresponding first data and/or second data, and submits the first data and/or second data to the AI function module.

Specifically, as shown in fig. 4, the MAC control packet or MAC control unit in the first format includes first format indication information, data length indication information, and the first data and/or the second data, where the first format indication information is used to indicate that the MAC control packet or MAC control unit to which the first format indication information belongs carries the first data and/or the second data.

Thus, in step 21, the MAC layer of the base station may determine the first format according to the first format indication information in the first MAC control packet or the MAC control element; analyzing the first MAC control packet or the MAC control unit according to the first format to acquire the first data and/or the second data encapsulated in the first MAC control packet or the MAC control unit; and according to the first format, encapsulating the first data and/or the second data sent by the first AI function module into a second MAC control packet or MAC control unit, and then sending out the first data and/or the second data through a physical layer.

As a second transmission method, the embodiment of the present invention may introduce formats of corresponding MAC control packets or control units for different types of first data/second data. At this time, the first MAC control packet or MAC control element and the second MAC control packet or MAC control element both include format indication information; the format indicated by the format indication information corresponds to the category of the first data and/or the second data encapsulated in the MAC control packet or the MAC control unit.

Thus, in step 21, the MAC layer of the base station may determine a first target format according to the format indication information in the first MAC control packet or the MAC control element; and analyzing the first MAC control packet or the MAC control unit according to the first target format to acquire the first data and/or the second data encapsulated in the first MAC control packet or the MAC control unit.

In step 21, the MAC layer of the base station may further determine a corresponding second target format according to the type of the first data and/or the second data packet sent by the first AI function module; and according to the second target format, encapsulating the first data and/or the second data sent by the first AI function module into a second MAC control packet or a MAC control unit, wherein format indication information in the second MAC control packet or the MAC control unit indicates the second target format.

The following describes an example of the format of the MAC control packet or the MAC control element according to the second transmission method. Here, the second transmission scheme includes 7 formats shown in fig. 5 to 11, which are referred to as a second format, a third format, \8230, and an eighth format, respectively. Wherein,

a) The second format corresponds to an establishment request signaling of an AI connection;

here, the MAC control packet or the control unit of the second format is transmitted to the network by the terminal. The terminal receives a first message (the message is used for the terminal to send an AI connection request to the base station) sent by the second AI function module, adds a second format indication to form a second format MAC control packet or a control unit, and sends the second format MAC control packet or the control unit to the network through a physical layer. The network receives the TB block containing the MAC control packet or the control unit with the second format, and demultiplexes to obtain a first message according to the second format indication and delivers the first message to the first AI function module.

B) The third format corresponds to establishment signaling of an AI connection.

Here, after receiving the second format control packet or the control unit identifier, the MAC on the network side adds a third format identifier and/or allocates a user identifier for AI connection to the terminal, and notifies the identifier to the first AI function module, and the first AI function module sends a second message (the message is used for the network to send AI connection establishment to the terminal) to the MAC. And the network receives a second message sent by the first AI function module, adds a third format indication to form a third format MAC control packet or control unit, and sends the third format MAC control packet or control unit to the terminal through a physical layer. And the terminal receives the TB block containing the MAC control packet or the control unit with the third format, demultiplexes to obtain a second message according to the third format indication and delivers the second message to the second AI function module.

C) The fourth format corresponds to setup signaling for end-to-end AI tasks.

Here, the MAC control packet or control unit in the fourth format is sent to the terminal by the network, and on the network side, the MAC receives the third message (for terminal task AI establishment) sent by the first AI function module, adds the fourth format identifier and/or the user identifier for AI connection and/or marks the task identifier/data length of the task to form the MAC control packet or control unit in the fourth format, and sends the MAC control packet or control unit in the fourth format to the terminal through the physical layer. And the terminal receives the TB block containing the MAC control packet or the control unit with the fourth format, demultiplexes to obtain a third message according to the fourth format indication and submits the third message to the second AI functional module.

D) The fifth format corresponds to synchronization information between the base station and the terminal during the AI model training process.

Here, the MAC control packet or the control unit in the fifth format may be sent to the terminal by the network, or may be sent to the network by the terminal. And the MAC of the sending end receives a fourth message (used for model and parameter synchronization, for example, under the condition of federal learning, the terminal reports local model parameters to the network, and global model parameters are generated by the network and sent to the terminal) sent by the AI functional module of the local end, and adds a fifth format identifier and/or a user identifier used for AI connection and/or a task identifier for marking the task and/or a data length to form a fifth format MAC control packet or a control unit, and the fifth format MAC control packet or the control unit is sent to the receiving end through a physical layer. And the receiving end MAC receives the TB block containing the MAC control packet or the control unit with the fifth format, and demultiplexes to obtain a fourth message according to the fifth format indication and submits the fourth message to the AI functional module of the local end.

E) The sixth format corresponds to the pre-processed collected data and/or label information.

Here, the MAC control packet or the control unit in the sixth format may be sent to the terminal by the network, or may be sent to the network by the terminal. And the MAC of the sending end receives a fifth message (used for transmitting a data acquisition result) sent by the AI functional module of the local end, adds a sixth format identifier and/or a user identifier used for AI connection and/or marks a task identifier of the task and/or a data acquisition identifier and/or a data length to form a sixth format MAC control packet or control unit, and sends the sixth format MAC control packet or control unit to the receiving end through a physical layer. And the receiving end MAC receives the TB block containing the MAC control packet or the control unit with the sixth format, and demultiplexes to obtain a fifth message according to the sixth format indication and delivers the fifth message to the AI function module of the local end.

F) The seventh format corresponds to stop or interrupt signaling of an end-to-end AI task.

Here, the seventh format MAC control packet or control unit is a network-addressed terminal. And the MAC control packet or the control unit in the seventh format is grouped and sent to the receiving end through the physical layer. And the receiving end MAC receives the TB block containing the MAC control packet or the control unit with the seventh format, and demultiplexes to obtain a sixth message according to the seventh format indication and delivers the sixth message to the first module.

G) The eighth format corresponds to release signaling of the AI connection.

Here, the eighth format MAC control packet or control unit is a packet that the terminal sends to the network. At a sending end, the MAC receives a seventh message (for example, used to indicate to the network that the UE needs to release an ongoing AI task of the AI connection, such as model calculation or data acquisition, etc.) sent by the first module, adds an eighth format identifier and/or a user identifier and/or a data length used for the AI connection, and groups an eighth format MAC control packet or control unit, which is sent to a receiving end through a physical layer. And the receiving end MAC receives the TB block containing the MAC control packet or the control unit with the eighth format, and demultiplexes to obtain a seventh message according to the eighth format indication and delivers the seventh message to the first module. After the network receives the MAC control packet of the eighth format or the control unit data, the first module stops the AI running task corresponding to the user and releases the user ID of the UE.

For example, the first target format may specifically be a second format, a fifth format, a sixth format, or an eighth format; the second target format is a third format, a fourth format, a fifth format, a sixth format, or a seventh format.

As can be seen from fig. 5 to 11, each MAC control packet or MAC control element includes format indication information, data length indication information, and the first data and/or the second data; the third format, the fourth format, the fifth format, the sixth format, the seventh format and the eighth format further comprise a user identifier for indicating AI connection; the fourth format, the fifth format, the sixth format and the seventh format further comprise task IDs for indicating AI tasks; the sixth format also includes a data acquisition ID.

In addition, in the second transmission mode, when the first target format determined according to the format indication information in the first MAC control packet or the MAC control element is the second format, the MAC layer of the base station may further allocate a user identifier for indicating an AI connection to the terminal, and send the user identifier and a signaling of an establishment request of the AI connection to the first AI function module; and after receiving the AI connection establishment signaling sent by the first AI function module, the MAC layer of the base station encapsulates the second MAC control packet or MAC control element including the format indication information, the user identifier, the data length indication signaling, and the AI connection establishment signaling, and then sends the second MAC control packet or MAC control element to the peer device through the physical layer.

It can be seen from the foregoing that, the data transmission method provided in the embodiment of the present invention can reduce the delay of AI data transmission, and ensure the reliability of data transmission, and in addition, the architecture can fully utilize the AI capability of the terminal, thereby improving the end-to-end AI capability.

Referring to fig. 12, a data transmission method provided in an embodiment of the present invention is applied to a terminal, and includes:

step 121, the MAC layer of the terminal interacts first data and/or second data with the base station through an MAC control packet or an MAC control unit, where the first data is a control signaling of an artificial intelligence AI task, and the second data is an AI model parameter and/or data acquisition information.

Through the steps, the embodiment of the invention reduces the time delay of AI data transmission and ensures the reliability of data transmission.

As shown in fig. 3, the terminal further includes a second AI function module, where the interacting of the first data and/or the second data with the base station through the MAC control packet or the MAC control unit includes:

and/or the presence of a gas in the gas,

in the first transmission mode, in step 121, the MAC layer of the terminal may encapsulate the first data and/or the second data sent by the second AI function module into a first MAC control packet or a MAC control element according to the first format; determining a first format according to the first format indication information in the second MAC control packet or the MAC control unit; and analyzing the second MAC control packet or the MAC control unit according to the first format to acquire the first data and/or the second data encapsulated in the second MAC control packet or the MAC control unit.

In the first transmission mode, in step 121, the MAC layer of the terminal may determine a corresponding first target format according to a type of the first data and/or the second data packet sent by the second AI function module; according to the first target format, encapsulating first data and/or second data sent by the second AI function module into a first MAC control packet or a MAC control unit, wherein format indication information in the first MAC control packet or the MAC control unit indicates the first target format; determining a second target format according to the format indication information in the second MAC control packet or the MAC control unit; and analyzing the second MAC control packet or the MAC control unit according to the second target format to acquire the first data and/or the second data encapsulated in the second MAC control packet or the MAC control unit.

For the types of the first and second data and the formats of the MAC control packet or the MAC control element adopted in different transmission manners, reference may be made to the above description, and details are not repeated here.

Various methods of embodiments of the present invention have been described above. An apparatus for carrying out the above method is further provided below.

An embodiment of the present invention provides a base station shown in fig. 13, including:

the first MAC layer module 131 is configured to interact first data and/or second data with the terminal through a MAC control packet or a MAC control element, where the first data is control signaling of an artificial intelligence AI task, and the second data is an AI model parameter and/or data acquisition information.

Optionally, the first MAC layer module 131 is further configured to:

receiving a first MAC control packet or an MAC control unit sent by the terminal, acquiring the first data and/or the second data encapsulated in the first MAC control packet or the MAC control unit, and sending the first data and/or the second data to the first AI function module;

and/or the presence of a gas in the gas,

and receiving the first data and/or the second data sent by the first AI function module, encapsulating the first data and/or the second data sent by the first AI function module into a second MAC control packet or an MAC control unit, and sending the second data to the terminal.

Optionally, the first MAC layer module 131 is further configured to:

determining a first format according to the first format indication information in the first MAC control packet or the MAC control unit; analyzing the first MAC control packet or the MAC control unit according to the first format to acquire the first data and/or the second data packaged in the first MAC control packet or the MAC control unit;

and according to the first format, encapsulating the first data and/or the second data sent by the first AI function module into a second MAC control packet or a MAC control unit.

Optionally, the first MAC layer module 131 is further configured to:

determining a first target format according to the format indication information in the first MAC control packet or the MAC control unit; analyzing the first MAC control packet or the MAC control unit according to the first target format to acquire the first data and/or the second data encapsulated in the first MAC control packet or the MAC control unit;

determining a corresponding second target format according to the type of the first data and/or the second data packet sent by the first AI function module; and according to the second target format, encapsulating the first data and/or the second data sent by the first AI function module into a second MAC control packet or a MAC control element, where format indication information in the second MAC control packet or the MAC control element indicates the second target format.

Optionally, the first MAC layer module 131 is further configured to, when the first target format determined according to the format indication information in the first MAC control packet or the MAC control unit is the second format:

allocating a user identifier for indicating an AI connection for the terminal, and sending the user identifier and an establishment request signaling of the AI connection to the first AI functional module;

and after receiving the AI connection establishment signaling sent by the first AI function module, encapsulating to obtain the second MAC control packet or MAC control element including the format indication information, the user identifier, the data length indication signaling, and the AI connection establishment signaling.

It should be noted that the apparatus in this embodiment is a device corresponding to the method shown in fig. 2, and the implementation manners in the above embodiments are all applicable to the embodiment of this device, and the same technical effects can be achieved. It should be noted that, the apparatus provided in the embodiment of the present invention can implement all the method steps implemented by the method embodiment and achieve the same technical effect, and detailed descriptions of the same parts and beneficial effects as the method embodiment in this embodiment are omitted here.

Referring to fig. 14, an embodiment of the present invention provides a structural diagram of a base station, including: a processor 1401, a transceiver 1402, a memory 1403, and a bus interface, wherein:

in the embodiment of the present invention, the base station further includes: a program stored on a memory 1403 and executable on a processor 1401, which when executed by the processor 1401 performs the steps of:

and interacting first data and/or second data with the terminal through an MAC control packet or an MAC control unit, wherein the first data is control signaling of an Artificial Intelligence (AI) task, and the second data is AI model parameters and/or data acquisition information.

Optionally, the processor further implements the following steps when executing the program:

receiving, by an MAC layer of the base station, a first MAC control packet or an MAC control unit sent by the terminal, acquiring the first data and/or the second data encapsulated in the first MAC control packet or the MAC control unit, and sending the first data and/or the second data to the first AI function module;

and/or the presence of a gas in the atmosphere,

and receiving the first data and/or the second data sent by the first AI function module through an MAC layer of the base station, and encapsulating the first data and/or the second data sent by the first AI function module into a second MAC control packet or an MAC control unit and then sending the second data to the terminal.

determining a first format according to the first format indication information in the first MAC control packet or the MAC control unit through an MAC layer of the base station; analyzing the first MAC control packet or the MAC control unit according to the first format to acquire the first data and/or the second data packaged in the first MAC control packet or the MAC control unit;

and encapsulating the first data and/or the second data sent by the first AI function module to a second MAC control packet or a MAC control unit according to the first format through the MAC layer of the base station.

determining a first target format according to the format indication information in the first MAC control packet or the MAC control unit through an MAC layer of the base station; analyzing the first MAC control packet or the MAC control unit according to the first target format to acquire the first data and/or the second data encapsulated in the first MAC control packet or the MAC control unit;

determining a corresponding second target format according to the type of the first data and/or the second data packet sent by the first AI function module through an MAC layer of the base station; and according to the second target format, encapsulating the first data and/or the second data sent by the first AI function module into a second MAC control packet or a MAC control unit, wherein format indication information in the second MAC control packet or the MAC control unit indicates the second target format.

through the MAC layer of the base station, when the first target format determined according to the format indication information in the first MAC control packet or the MAC control unit is the second format:

allocating a user identifier for indicating AI connection for the terminal, and sending the user identifier and an establishment request signaling of the AI connection to the first AI function module;

It can be understood that, in the embodiment of the present invention, when being executed by the processor 1401, the computer program can implement the processes of the method embodiment shown in fig. 2, and can achieve the same technical effect, and in order to avoid repetition, the description is omitted here.

In FIG. 14, the bus architecture may include any number of interconnected buses and bridges, with one or more processors, represented by processor 1401, and various circuits, represented by memory 1403, being linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface. The transceiver 1402 may be a plurality of elements including a transmitter and a receiver providing a means for communicating with various other apparatus over a transmission medium.

The processor 1401 is responsible for managing the bus architecture and general processing, and the memory 1403 may store data used by the processor 1401 in performing operations.

It should be noted that the terminal in this embodiment is a device corresponding to the method shown in fig. 2, and the implementation manners in the foregoing embodiments are all applied to the embodiment of the terminal, and the same technical effects can be achieved. In the device, the transceiver 1402 and the memory 1403, and the transceiver 1402 and the processor 1401 are all communicatively connected through a bus interface, the function of the processor 1401 may be implemented by the transceiver 1402, and the function of the transceiver 1402 may be implemented by the processor 1401. It should be noted that, the apparatus provided in the embodiment of the present invention can implement all the method steps implemented by the method embodiment and achieve the same technical effect, and detailed descriptions of the same parts and beneficial effects as the method embodiment in this embodiment are omitted here.

In some embodiments of the invention, there is also provided a computer readable storage medium having a program stored thereon, which when executed by a processor, performs the steps of:

When executed by the processor, the program can implement all the implementation manners of the data transmission method applied to the base station, and can achieve the same technical effect, and is not described herein again to avoid repetition.

Referring to fig. 15, an embodiment of the present invention provides a terminal, including:

the second MAC layer module 151 is configured to interact first data and/or second data with the base station through a MAC control packet or a MAC control element, where the first data is control signaling of an artificial intelligence AI task, and the second data is an AI model parameter and/or data acquisition information.

Optionally, the second MAC layer module 151 is further configured to:

receiving, by the MAC layer of the terminal, the first data and/or the second data sent by the second AI function module, and sending the first data and/or the second data sent by the second AI function module to the base station after encapsulating the first data and/or the second data into a first MAC control packet or an MAC control unit;

and/or the presence of a gas in the gas,

optionally, the second MAC layer module 151 is further configured to:

according to the first format, packaging the first data and/or the second data sent by the second AI function module into a first MAC control packet or an MAC control unit;

determining a first format according to the first format indication information in the second MAC control packet or the MAC control unit; and analyzing the second MAC control packet or the MAC control unit according to the first format to acquire the first data and/or the second data encapsulated in the second MAC control packet or the MAC control unit.

Optionally, the second MAC layer module 151 is further configured to:

determining a corresponding first target format according to the type of the first data and/or the second data packet sent by the second AI function module; according to the first target format, encapsulating first data and/or second data sent by the second AI function module into a first MAC control packet or a MAC control unit, wherein format indication information in the first MAC control packet or the MAC control unit indicates the first target format;

determining a second target format according to the format indication information in the second MAC control packet or the MAC control unit; and analyzing the second MAC control packet or the MAC control unit according to the second target format to acquire the first data and/or the second data encapsulated in the second MAC control packet or the MAC control unit.

It should be noted that the apparatus in this embodiment is an apparatus corresponding to the method shown in fig. 12, and the implementation manners in the above embodiments are all applied to the embodiment of the apparatus, and the same technical effects can be achieved. The device provided in the embodiment of the present invention can implement all the method steps implemented by the method embodiment, and can achieve the same technical effects, and detailed descriptions of the same parts and beneficial effects as the method embodiment in this embodiment are omitted here.

Referring to fig. 16, a schematic structural diagram of a terminal according to an embodiment of the present invention includes: a processor 1601, a transceiver 1602, a memory 1603, a user interface 1604, and a bus interface.

In the embodiment of the present invention, the terminal further includes: programs stored on memory 1603 and operable on processor 1601.

The processor 1601 executes the program to implement the following steps:

and interacting first data and/or second data with the base station through an MAC control packet or an MAC control unit, wherein the first data is control signaling of an Artificial Intelligence (AI) task, and the second data is AI model parameters and/or data acquisition information.

and/or the presence of a gas in the gas,

encapsulating, by the MAC layer of the terminal, the first data and/or the second data sent by the second AI function module into a first MAC control packet or a MAC control unit according to the first format;

determining a corresponding first target format according to the type of the first data and/or the second data packet sent by the second AI function module through an MAC layer of the terminal; according to the first target format, encapsulating first data and/or second data sent by the second AI function module into a first MAC control packet or a MAC control unit, wherein format indication information in the first MAC control packet or the MAC control unit indicates the first target format;

It can be understood that, in the embodiment of the present invention, when being executed by the processor 1601, the computer program can implement the processes of the method embodiment shown in fig. 12, and can achieve the same technical effect, and details are not described here to avoid repetition.

In FIG. 16, the bus architecture may include any number of interconnected buses and bridges, with various circuits being linked together, in particular, one or more processors represented by a processor 1601 and a memory represented by a memory 1603. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface. The transceiver 1602 may be a number of elements including a transmitter and a receiver that provide a means for communicating with various other apparatus over a transmission medium. The user interface 1604 may also be an interface capable of interfacing with a desired device externally for different user devices, including but not limited to a keypad, display, speaker, microphone, joystick, etc.

The processor 1601 is responsible for managing the bus architecture and general processing, and the memory 1603 may store data used by the processor 1601 in performing operations.

It should be noted that the apparatus in this embodiment is an apparatus corresponding to the method shown in fig. 12, and the implementation manners in the above embodiments are all applicable to the embodiment of this apparatus, and the same technical effects can be achieved. In the apparatus, the transceiver 1602 and the memory 1603, and the transceiver 1602 and the processor 1601 may be communicatively connected by a bus interface, and the function of the processor 1601 may also be implemented by the transceiver 1602, and the function of the transceiver 1602 may also be implemented by the processor 1601. It should be noted that, the apparatus provided in the embodiment of the present invention can implement all the method steps implemented by the method embodiment and achieve the same technical effect, and detailed descriptions of the same parts and beneficial effects as the method embodiment in this embodiment are omitted here.

In some embodiments of the invention, there is also provided a computer readable storage medium having a program stored thereon, the program when executed by a processor implementing the steps of:

When executed by the processor, the program can implement all the implementation manners of the data transmission method applied to the terminal side, and can achieve the same technical effect, and is not described herein again to avoid repetition.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiments of the present invention.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk or an optical disk, and various media capable of storing program codes.

The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A data transmission method applied to a base station is characterized by comprising the following steps:

2. The method of claim 1, wherein the base station further includes a first AI function module, and the interacting of the first data and/or the second data with the terminal through the MAC control packet or the MAC control element comprises:

and/or the presence of a gas in the gas,

3. The method of claim 2,

the first data includes at least one of the following categories:

an AI connection establishment request signaling;

establishing signaling of AI connection;

signaling for establishing an end-to-end AI task;

stopping or interrupting signaling of the end-to-end AI task;

release signaling of AI connections;

management signaling of the AI model;

configuration signaling for data acquisition;

the second data includes at least one of the following categories:

the preprocessed collected data and/or label information.

4. The method of claim 2 or 3,

the first MAC control packet or MAC control unit and the second MAC control packet or MAC control unit are both MAC control packets or MAC control units in a first format, where the MAC control packet or MAC control unit in the first format includes first format indication information, data length indication information, and the first data and/or the second data, where the first format indication information is used to indicate that the first data and/or the second data are carried in the MAC control packet or MAC control unit to which the first MAC control packet or MAC control unit belongs.

5. The method of claim 4,

the obtaining the first data and/or the second data encapsulated in the first MAC control packet or the MAC control element includes: determining a first format according to the first format indication information in the first MAC control packet or the MAC control unit; analyzing the first MAC control packet or the MAC control unit according to the first format to acquire the first data and/or the second data encapsulated in the first MAC control packet or the MAC control unit;

6. The method of claim 3,

the first MAC control packet or the MAC control unit and the second MAC control packet or the MAC control unit both comprise format indication information; the format indicated by the format indication information corresponds to the category of the first data and/or the second data encapsulated in the MAC control packet or the MAC control unit.

7. The method of claim 6, further comprising:

the encapsulating of the first data and/or the second data sent by the first AI function module into a second MAC control packet or a MAC control unit includes: determining a corresponding second target format according to the type of the first data and/or the second data packet sent by the first AI function module; and according to the second target format, encapsulating the first data and/or the second data sent by the first AI function module into a second MAC control packet or a MAC control unit, wherein format indication information in the second MAC control packet or the MAC control unit indicates the second target format.

8. The method of claim 7,

the first target format is a second format, a fifth format, a sixth format or an eighth format; the second target format is a third format, a fourth format, a fifth format, a sixth format or a seventh format; wherein,

the third format corresponds to an AI connection establishment signaling;

the fourth format corresponds to setup signaling for end-to-end AI tasks;

the eighth format corresponds to release signaling of the AI connection.

9. The method of claim 8,

each format MAC control packet or MAC control unit comprises format indication information, data length indication information, and the first data and/or the second data;

the sixth format also includes a data acquisition ID.

10. The method of claim 8,

under the condition that the determined first target format is the second format according to the format indication information in the first MAC control packet or the MAC control unit, the method further includes:

11. A data transmission method is applied to a terminal, and is characterized by comprising the following steps:

12. The method of claim 11, wherein the terminal further includes a second AI function module, and the interacting of the first data and/or the second data with the base station through the MAC control packet or the MAC control element comprises:

the MAC layer of the terminal receives the first data and/or the second data sent by the second AI function module, encapsulates the first data and/or the second data sent by the second AI function module into a first MAC control packet or a MAC control unit, and sends the first data and/or the second data to the base station;

and/or the presence of a gas in the gas,

13. the method of claim 12,

the first data includes at least one of the following categories:

an AI connection establishment request signaling;

establishing signaling of AI connection;

signaling for establishing an end-to-end AI task;

end-to-end AI task stop or interrupt signaling;

release signaling of AI connections;

management signaling of the AI model;

configuration signaling for data acquisition;

the second data includes at least one of the following categories:

the preprocessed collected data and/or label information.

14. The method of claim 12 or 13,

the first MAC control packet or MAC control unit and the second MAC control packet or MAC control unit are both MAC control packets or MAC control units in a first format, where the MAC control packet or MAC control unit in the first format includes first format indication information, data length indication information, and the first data and/or the second data, where the first format indication information is used to indicate that the MAC control packet or MAC control unit to which the first MAC control packet or MAC control unit belongs carries the first data and/or the second data.

15. The method of claim 14,

the encapsulating of the first data and/or the second data sent by the second AI function module into a first MAC control packet or a MAC control unit includes: according to the first format, packaging the first data and/or the second data sent by the second AI function module into a first MAC control packet or an MAC control unit;

16. The method of claim 13,

17. The method of claim 16, further comprising:

18. The method of claim 17,

the third format corresponds to an AI connection establishment signaling;

the fourth format corresponds to setup signaling for end-to-end AI tasks;

the eighth format corresponds to release signaling of the AI connection.

19. The method of claim 18,

the sixth format also includes a data acquisition ID.

20. A base station, comprising:

21. A base station, comprising: a processor, a memory and a program stored on the memory and executable on the processor, which when executed by the processor implements the steps of the method of any one of claims 1 to 10.

22. A terminal, comprising:

23. A terminal, comprising: a processor, a memory and a program stored on the memory and executable on the processor, which program, when executed by the processor, carries out the steps of the method according to any one of claims 11 to 19.

24. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 19.