Data Channel Model Transmission Method and Apparatus, Information Transmission Method and Apparatus

Abstract

Embodiments of the present disclosure provide a method and apparatus for transmitting a data channel model, and a method and apparatus for transmitting information. The method for transmitting the data channel model includes: a step in which a first node receives data transmission requirement information transmitted from a second node; a step in which the first node determines a data channel model that matches the data transmission requirement information based on at least the data transmission requirement information; and a step in which the data channel model that matches the second node is transmitted to the second node.

Description

Technical Field

[0001] The present disclosure relates to the field of communications, and specifically, to a method and apparatus for transmitting a data channel model, and a method and apparatus for information transmission.

Background Art

[0002] Currently, in the 5th Generation Mobile Communication System (5G) New Radio (NR), system information transmits a Master Information Block (MIB) via a Physical Broadcast Channel (PBCH) in a Single Sideband (SSB), and then carries a System Information Block (SIB) via a Physical Downlink Shared Channel (PDSCH). The SIB may be divided into a plurality of blocks carrying different system information.

[0003] In the 6th Generation Mobile Communication System (6G), typical application scenarios such as smart cities, smart transportation, and smart homes appear. In the application scenarios of 6G, due to the existence of a large number of smart automation devices with highly differentiated capabilities, the communication requirements for aspects such as extremely low latency, extremely high reliability, extremely large bandwidth, and a large number of accesses are increasing.

[0004] That is to say, in the 6G era, the types of terminals accessing the system will become extremely diverse. This causes two problems. On the one hand, due to the rapid increase in the quantity of wireless communication and sensing devices, the contradiction between the limitless increase in service needs and the limited wireless resources and computing power becomes increasingly prominent. On the other hand, the realization of the 6G vision requires hierarchical distribution of closed-loop information stream processing for obtaining environmental sensing information, information exchange and sharing, smart information processing, and control information (including control information for communication networks and control commands for application execution devices), but the prior art cannot meet this requirement.

[0005] As can be seen, the existing wireless network architectures and related technologies are difficult to meet the constantly emerging application needs in the post-5G era (5G and Beyond, B5G) / 6G era. Continuing to use such a limited type of combination data channel generation method of NR will greatly limit the data transmission efficiency of terminals and affect the spectral efficiency of the system.

[0006] Therefore, in order to meet the data transmission requirements of different types of UEs and improve spectral efficiency, a data channel generation method for different terminal types is needed, but in the prior art, a data channel generation method for different terminal types is lacking.

[0007] In the prior art, a method for generating a data channel model for different terminal types is lacking. Moreover, for the problem of restricting the data transmission efficiency of terminals, currently, no effective solution has been proposed yet.

[0008] Therefore, in order to eliminate the above-mentioned drawbacks in the related technology, it is necessary to improve the related technology.

Summary of the Invention

Problems to be Solved by the Invention

[0009] Embodiments of the present disclosure provide a method and apparatus for transmitting a data channel model, and a method and apparatus for transmitting information, at least solving the problem that in the prior art, there is a lack of a method for generating a data channel model for different terminal types, and further restricting the data transmission efficiency of the terminal.

Means for Solving the Problem

[0010] According to an aspect of an embodiment of the present disclosure, there is provided a method for transmitting a data channel model, including: a first node receiving data transmission requirement information transmitted from a second node; the first node determining, based on at least the data transmission requirement information, a data channel model matching the data transmission requirement information; and transmitting the data channel model matching the second node to the second node.

[0011] According to an embodiment of the present disclosure, a second node includes: transmitting data transmission requirement information to a first node; and the second node receiving, from the first node, data channel model information determined based on at least the data transmission requirement information, and obtaining at least one of N functional modules and setting information of M functional modules from the data channel model information, where both N and M are integers greater than or equal to 1. There is provided a method for receiving a data channel model.

[0012] According to an embodiment of the present disclosure, a second node receives first-type control information transmitted from a first node, where the first-type control information indicates a generation method of a data channel, and the generation method of the data channel includes at least one of a first data channel generation method already stored and a second data channel generation method for determining a data channel according to a data channel model. The data channel model includes a step of determining a data channel model that matches the data transmission requirement information by a method in which the first node receives data transmission requirement information transmitted from the second node and determines the data channel model based on at least the data transmission requirement information. An information transmission method is provided.

[0013] According to an embodiment of the present disclosure, there is provided a transmission device for a data channel model applied to a first node, including a first receiving module configured to receive data transmission requirement information transmitted from a second node, a calculation module configured to determine a data channel model that matches the data transmission requirement information based on at least the data transmission requirement information, and a first transmission module configured to transmit the data channel model that matches the second node to the second node.

[0014] According to an embodiment of the present disclosure, there is provided a receiving device for a data channel model applied to a second node, including a second transmission module configured to transmit data transmission requirement information to a first node, and a second receiving module configured to receive the data channel model determined based on the data transmission requirement information transmitted from the first node and obtain at least one of setting information of N functional modules in data transmission and setting information of M functional modules in data transmission from the data channel model.

[0015] According to an embodiment of the present disclosure, there is provided an information transmission device including a third receiving module configured to receive control information of a first type transmitted from a first node, where the control information of the first type indicates a generation method of a data channel, and the generation method of the data channel includes at least one of a first data channel generation method already stored and a second data channel generation method for determining a data channel according to a data channel model. The data channel model is determined by a method in which the first node receives data transmission requirement information transmitted from a second node and determines a data channel model matching the data transmission requirement information based at least on the data transmission requirement information.

[0016] According to still another embodiment of the present disclosure, there is further provided a computer-readable storage medium storing a computer program, where the computer program, when executed, is configured to implement the steps in the embodiments of any of the above methods.

[0017] According to another embodiment of the present disclosure, there is provided an electronic device including a memory storing a computer program and a processor configured to execute the computer program to perform the steps in the embodiments of any of the above methods.

Advantages of the Invention

[0018] According to the present disclosure, a first node receives data transmission requirement information sent from a second node, and the first node determines a data channel model matching the data transmission requirement information based on at least the data transmission requirement information, and transmits the data channel model matching the second node to the second node. In the present disclosure, the first node may be on the network side, and the second node may be a terminal or the like. The present disclosure determines a corresponding data channel model based on the data transmission requirement information of the terminal and transmits it to the terminal. Based on the requirements of different types of terminals, the data channel model corresponding to the terminal can be determined, thereby solving the problem that in the prior art, there is a lack of a method for generating data channel models for different terminal types and further restricting the data transmission efficiency of the terminal.

Brief Description of the Drawings

[0019]

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Embodiments for Carrying Out the Invention

[0020] In order for those skilled in the art to better understand the solution means of the present disclosure, hereinafter, while referring to the drawings in the embodiments of the present disclosure, the technical solution means in the embodiments of the present disclosure will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, not all of them. Based on the embodiments in the present disclosure, all other embodiments obtained on the premise that those skilled in the art do not perform creative labor should belong to the protection scope of the present disclosure.

[0021] Note that terms such as "first" and "second" in the specification, claims, and the above drawings of the present disclosure are not used to describe a specific order or sequence, but are used to distinguish similar objects. It should be understood that the data used in this way can be appropriately exchanged so that the embodiments of the present disclosure described in this specification can be implemented in an order other than those illustrated or described in this specification.

[0022] Also, the terms "comprising", "having", and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that comprises a series of steps or units is not limited to the explicitly recited steps or units, and may include other steps or units not explicitly recited or inherent to these processes, methods, products, or apparatuses.

[0023] To better understand the following technical means, the related art of the present disclosure will be described next.

[0024] The large-scale commercialization of the 5th Generation Mobile Communication System (5G) New Radio (NR) has promoted the transformation of the economic society towards digitalization, networking, and intelligentization, and has propelled the network into a new era where everything is interconnected.

[0025] Due to the rapidly emerging application needs in areas such as smart cities, smart transportation, and smart industrial production, the development trends of differentiation in the capabilities of network devices, diversification of network functions, and intelligentization of network management continue. Furthermore, it has further accelerated the arrival of the 6th Generation Mobile Communication System (6G) that intelligently interconnects everything. In typical application scenarios of 6G represented by smart cities, smart transportation, and smart homes, there are a large number of smart automation devices with highly differentiated capabilities. Therefore, the communication requirements in aspects such as extremely low latency, extremely high reliability, extremely large bandwidth, and a large number of accesses are becoming increasingly stringent. Smart automation types of applications also pose requirements for high precision and high resolution in terms of sensing capabilities.

[0026] On the one hand, due to the rapid increase in the number of wireless communication and sensing devices, the unlimited increase in service needs conflicts more and more significantly with limited wireless resources and computing power. On the other hand, the realization of the 6G vision requires hierarchical distributed closed-loop information stream processing for obtaining environmental sensing information, information exchange and sharing, smart information processing, and control information (including control information for communication networks and control commands for application execution devices). Existing wireless network architectures and related technologies are difficult to meet the constantly emerging application needs in the post-5G era (5G and Beyond, B5G) / 6G era. Therefore, it is urgent to develop new network architectures and enabling technologies that can efficiently utilize resources, apply them differentially, and adapt smartly.

[0027] The rise of artificial intelligence (AI) technologies represented by deep learning, reinforcement learning, and distributed learning has had a profound impact in various fields such as the optimization of communication networks, intelligent sensing, and control applications, greatly promoting the possibility of the deep integration of the communication-sensing-computation field. Based on this, when 6G realizes the fusion and symbiosis of communication capabilities and sensing capabilities with the support of smart computing technologies, it will endow the 6G network with the ability to intelligently sense the physical world and mirror the digital world anytime and anywhere. A large number of connected new smart terminals will learn, communicate, cooperate, and compete based on increasingly powerful computing power, realizing the self-learning, self-driving, and self-maintenance of the network, and further realizing the vision of the 6G communication-sensing-computation integrated network.

[0028] It is widely recognized that artificial intelligence (AI) / machine learning (ML) should be introduced into wireless communication systems. For example, the research content includes, but is not limited to, CSI feedback, beam management, channel estimation, positioning, interference management, user scheduling, etc.

[0029] In some embodiments, artificial intelligence (AI) includes devices, components, software, and modules having self-learning capabilities such as machine learning (ML), deep learning, reinforcement learning, transfer learning, deep reinforcement learning, and meta-learning.

[0030] In some embodiments, artificial intelligence is realized by an artificial intelligence network (or called a neural network), the neural network includes multiple layers, each layer includes at least one node. In one example, the neural network includes an input layer, an output layer, and at least one hidden layer. Each layer of the neural network includes at least one of a fully connected layer, a dense layer, a convolutional layer, a transposed convolutional layer, a direct connection layer, an activation function, a normalization layer, a pooling layer, etc., but is not limited thereto.

[0031] In some embodiments, each layer of the neural network may include a sub-neural network such as a residual network block (or Resnet block), a dense network (Densenet Block), a recurrent neural network (RNN), etc. The artificial intelligence network includes a neural network model and / or neural network parameters corresponding to the neural network model. The neural network model may be abbreviated as the network model, and the neural network parameters may be abbreviated as the network parameters.

[0032] One network model defines the architecture of the network, such as the number of layers of the neural network, the size of each layer, the activation function, the connection status, the convolutional kernel and the convolutional kernel size, the convolutional stride, the convolutional type (e.g., 1D convolution, 2D convolution, 3D convolution, dilated convolution, transposed convolution, separable convolution, grouped convolution, extended convolution, etc.). The network parameters are the weights and / or biases of the network in each layer of the network model and their values.

[0033] One network model can correspond to multiple sets of different values of neural network parameters so as to adapt to different scenarios. The values of the network parameters can be obtained by offline training and / or online training. One neural network model can correspond to multiple different values of neural network parameters.

[0034] The embodiments of the method according to the embodiments of the present disclosure can be executed on a computer terminal or a similar computing device. Taking the operation on a computer terminal as an example, FIG. 1 is a block diagram showing the hardware configuration of a computer terminal of a preferred data transmission method according to the embodiments of the present disclosure.

[0035] As shown in FIG. 1, the computer terminal may include one or more (only one is shown in FIG. 1) processors 103 (the processor 103 includes, but is not limited to, a microprocessor (abbreviated as Microprocessor Unit, MPU) or a programmable logic device (abbreviated as Programmable logic device, PLD)), and a memory 104 for storing data. In an exemplary embodiment, the computer terminal may further include a transmission device 106 for communication functions and an input / output device 108.

[0036] As can be understood by those skilled in the art, the structure shown in FIG. 1 is merely schematic and does not limit the structure of the computer terminal. For example, the computer terminal may include more or fewer components than those shown in FIG. 1, or may have a different configuration with functions equivalent to those shown in FIG. 1 or more functions than those shown in FIG. 1.

[0037] The memory 104 may store software programs and modules of application software, for example, a computer program corresponding to the data transmission method in the embodiments of the present disclosure. The processor 103 may execute the computer program stored in the memory 104 to execute various functional applications and data processing, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may further include, for example, one or more magnetic storage devices, flash memories, or other non-volatile solid memories and the like.

[0038] In some embodiments, the memory 104 may further include a memory installed remotely with respect to the processor 103, and these remote memories may be connected to the computer terminal via a network. Examples of the above network include, but are not limited to, the Internet, enterprise intranets, local area networks, mobile communication networks, and combinations thereof.

[0039] The transmission device 106 transmits and receives data via a network. Specific examples of the above network may include a wireless network provided by a communication carrier of the computer terminal. In one embodiment, the transmission device 106 includes a network interface controller (abbreviated as NIC) that is connected to other network devices by a base station and can communicate with the Internet. In one embodiment, the transmission device 106 may be a radio frequency (RF) module that communicates with the Internet in a wireless manner.

[0040] FIG. 2 is a flowchart of a preferred data channel model transmission method according to an embodiment of the present disclosure. As shown in FIG. 2, the steps of the data transmission method include the following steps S202 to S206.

[0041] In step S202, the first node receives the data transmission requirement information sent from the second node. In step S204, the first node determines a data channel model that matches the data transmission requirement information based on at least the data transmission requirement information. In step S206, the data channel model that matches the second node is sent to the second node.

[0042] According to the above steps, the first node receives the data transmission requirement information sent from the second node. The first node determines a data channel model that matches the data transmission requirement information based on at least the data transmission requirement information, and sends the data channel model that matches the second node to the second node. In the above steps, the first node may be on the network side, and the second node may be a terminal or the like. Based on the data transmission requirement information of the terminal, a corresponding data channel model is determined and sent to the terminal. Therefore, based on the requirements of different types of terminals, the data channel model corresponding to the terminal can be determined, thereby solving the problem that in the prior art, there is a lack of a method for generating a data channel model for different terminal types and further restricting the data transmission efficiency of the terminal.

[0043] Note that the first node may be on the network side. Further, the network side can generate a data channel model that matches the data transmission requirement information by analyzing and calculating the data transmission requirement information, or the network side can search for a data channel model that matches the data transmission requirement information from a local database by analyzing and calculating the data transmission requirement information.

[0044] In a preferred embodiment, the data channel model may be understood as a set of information for generating the data channel. The information includes at least one of parameters for generating the data channel, software for generating the data channel, hardware for generating the data channel, structural arrangement for generating the data channel, data configuration information included in the data channel, a data transmission method for data included in the data channel, and a data reception method for data included in the data channel.

[0045] Note that the data channel model can be represented in any way such as an index, a version, a set of information, etc., and the embodiments of the present disclosure do not limit this.

[0046] In an exemplary embodiment, the data transmission requirement information includes at least one of data transmission modeling information and second node modeling information.

[0047] Note that both the data transmission modeling information and / or the second node modeling information are aggregates of information. The aggregate is an abstract concept, and the present disclosure does not limit its specific representation method. The aggregate may be a series of codes or a single file, etc. Also, after receiving the aggregate information, the first node can restore (or analyze) specific requirements for data transmission and terminal parameter information by analyzing the aggregate information.

[0048] In an exemplary embodiment, the data transmission requirement information includes at least one of first index information, first version information, and a set of information.

[0049] In an exemplary embodiment, after the first node receives the data transmission requirement information sent from the second node, if the data transmission requirement information is the first index information and / or the first version information, the method further includes the step of the first node searching, from the information stored locally, for data transmission modeling information and / or second node modeling information corresponding to the first index information and / or the first version information.

[0050] Preferably, in this embodiment, the first node searches, according to the data transmission modeling index information, from the information stored locally, for a quantitative criterion for specific requirements of data transmission corresponding to the index information. The first node searches, according to the second node modeling index information, from the information stored locally, for second node parameter information corresponding to the index information.

[0051] In an exemplary embodiment, after the first node receives the data transmission requirement information sent from the second node, if the data transmission requirement information is a set of information, the method further includes the step of the first node decrypting the set of information to obtain specific information included in the data transmission modeling information and / or specific information included in the second node modeling information.

[0052] In an exemplary embodiment, the data transmission modeling information includes at least one of a peak transmission rate requirement of the data transmission requirement, a transmission delay requirement of the data transmission requirement, a service type of the data transmission requirement, a transmission time distribution of the data transmission requirement, and a transmission rate distribution within the transmission time distribution of the data transmission requirement.

[0053] In an exemplary embodiment, the second node modeling information includes at least one of location distribution information of the second node, type information of the second node, basic information of the second node, and communication setting information supported by the second node.

[0054] Preferably, in this embodiment, the basic information of the second node includes, but is not limited to, the hardware and software configuration information of the second node.

[0055] Preferably, in this embodiment, the network configuration information includes, but is not limited to, communication frequency band resource information, frame structure information, transmission power information, supported wireless communication protocol information, supported channel coding information, supported signal source coding information, supported multiple input multiple output (MIMO) processing method, supported receiver detection algorithm.

[0056] In an exemplary embodiment, the step in which the first node determines a data channel model matching the second node based on at least the data transmission requirement information further includes the first node obtaining at least one of radio wave propagation characteristic information, wireless channel characteristic information, environmental information, and network configuration information, and determining a data channel model matching the second node.

[0057] For the sake of clarity of the above embodiment, as shown in FIG. 3, FIG. 3 is a schematic diagram of a data channel model matching a preferred second node according to an embodiment of the present disclosure. In FIG. 3, data channel modeling is performed based on radio wave propagation characteristic information, wireless channel characteristic information, environmental information, etc., to determine the data channel model of the second node.

[0058] In an exemplary embodiment, the radio wave propagation characteristic information includes at least one of the used frequency band and the propagation method.

[0059] In an exemplary embodiment, the wireless channel characteristic information includes at least one of large-scale fading characteristics, small-scale fading characteristics, time-domain change rules of the wireless channel, frequency-domain change rules of the wireless channel, spatial-domain change rules of the wireless channel, and change rules of the wireless channel in a specific application scenario.

[0060] In an exemplary embodiment, the environmental information includes at least one of geographical location information of the wireless communication network, terrain information of the wireless communication network, weather condition information of the wireless communication network, and electromagnetic interference information of the wireless communication network.

[0061] Preferably, in this embodiment, the terrain information includes, but is not limited to, artificial buildings, road distributions, pedestrian flow information, traffic flow information, etc.

[0062] Preferably, in this embodiment, the weather condition information includes, but is not limited to, weather, temperature, humidity, etc.

[0063] In an exemplary embodiment, the network configuration information includes at least one of network topology information, network node location information, basic information of network nodes, and communication configuration information supported by the network.

[0064] Preferably, in this embodiment, the basic information of the network nodes includes, but is not limited to, hardware and software configuration information of the network nodes.

[0065] Preferably, in this embodiment, the communication configuration information supported by the network includes, but is not limited to, frame structure information, transmission power information, supported wireless communication protocol information, supported channel coding information, supported signal source coding information, supported MIMO processing methods, supported receiver detection algorithms, etc.

[0066] FIG. 4 is a flowchart of a method for receiving a preferred data channel model according to an embodiment of the present disclosure. As shown in FIG. 4, the steps of the data transmission method include the following steps S402 to S404.

[0067] In step S402, the second node transmits data transmission requirement information to the first node. In step S404, the second node receives data channel model information transmitted from the first node and determined based on at least the data transmission requirement information, and obtains at least one of the setting information of N functional modules and M functional modules from the data channel model information. Both N and M are integers greater than or equal to 1.

[0068] According to the above steps, the second node transmits data transmission requirement information to the first node, and the second node receives data channel model information transmitted from the first node and determined based on the data transmission requirement information, and obtains at least one of the setting information of N functional modules and M functional modules from the data channel model information. Both N and M are integers greater than or equal to 1. The first node determines a data channel model matching the data transmission requirement information based on at least the data transmission requirement information, and transmits the data channel model matching the second node to the second node. In the above steps, the first node may be on the network side, and the second node may be a terminal or the like. Based on the data transmission requirement information of the terminal, the corresponding data channel model is determined and transmitted to the terminal. Therefore, based on the requirements of different types of terminals, the data channel model corresponding to the terminal can be determined, thereby solving the problem that the prior art lacks a data channel generation method for different terminal types and further restricting the data transmission efficiency of the terminal.

[0069] In an exemplary embodiment, the data transmission requirement information includes at least one of data transmission modeling information and second node modeling information.

[0070] In an exemplary embodiment, the data transmission requirement information includes at least one of first index information, first version information, and a set of information.

[0071] In an exemplary embodiment, after the second node transmits the data transmission requirement information to the first node, when the data transmission requirement information is the first index information and / or the first version information, the method further includes the step of the second node searching, from the locally stored information, for data transmission modeling information corresponding to the first index information and / or the first version information and / or second node modeling information.

[0072] In an exemplary embodiment, after the second node transmits the data transmission requirement information to the first node, when the data transmission requirement information is a set of information, the method further includes the step of the second node decrypting the set of information to obtain specific information included in the data transmission modeling information and / or specific information included in the second node modeling information.

[0073] Note that the above set of information is a set of configuration information required for a data channel model or a component of a data channel model that generates the data transmission requirement information. Also, the set of information is an abstract concept, and its specific representation method is not limited. It may be a series of codes or a single file. The present disclosure does not limit this.

[0074] In an exemplary embodiment, after obtaining at least one of N functional modules and configuration information of M functional modules from the data channel model information, the method further includes the step of the second node using the N functional modules during data transmission and / or the step of the second node generating the M functional modules based on the configuration information of the M functional modules and using the M functional modules during data transmission.

[0075] Note that in the present disclosure, the entire process of data transmission is divided into a plurality of constituent parts, and the functions of each constituent part are realized by functional modules. These functional modules together constitute a complete data transmission process. As shown in FIG. 5, FIG. 5 is a diagram showing the configuration of each functional module during preferable data transmission according to an embodiment of the present disclosure.

[0076] In an exemplary embodiment, during the data transmission, other functional modules required by the second node are determined by one of a method instructed by the first node, a local default setting of the second node, and a method determined by the second node itself.

[0077] Embodiment 1 FIG. 6 is a schematic diagram of a transmission method of a preferable data channel model according to Embodiment 1. In FIG. 6, the second node needs to perform uplink data transmission, specifically including the following steps 1 to 5.

[0078] In step 1, when the second node needs to perform uplink data transmission, uplink data transmission demand information is transmitted to the first node. The uplink data transmission demand information includes uplink data transmission modeling information and the second node modeling information. In this embodiment, the uplink data transmission demand information is the first index information and the first version information.

[0079] In step 2, after receiving the uplink data transmission demand information transmitted from the second node, the first node first searches for the corresponding uplink data transmission modeling information and the second node modeling information from the local AI server according to the first index information.

[0080] In this embodiment, the entire process of uplink data transmission is divided into a plurality of components, for example, including source coding / decoding, modulation / demodulation, channel coding / decoding, layer mapping, data transmission / reception, and MIMO processing. In the AI server, one or more models are constructed for one or more combinations of the above components, different combinations are searched by index numbers, and further, models corresponding to combinations that meet different needs according to different version information are searched.

[0081] In this embodiment, the combination indicated by the first index information is source coding / decoding, modulation / demodulation, channel coding / decoding, layer mapping, data transmission / reception, and MIMO processing in uplink data transmission. Then, a specific model is obtained according to the first version information, and this model corresponds to information such as the peak transmission rate requirement of the determined data transmission demand, the transmission delay requirement of the data transmission demand, the service type of the data transmission demand, and the transmission time distribution of the data transmission demand.

[0082] In this embodiment, the AI server also stores the modeling information of the second node, and is divided into different types of terminals according to different supported hardware and / or software. Terminals that support the same hardware and / or software but have different versions are divided into different types of terminals. Based on the first index information, the hardware and software supported by the terminal are determined, and further, based on the first version information, the hardware version and software version supported by the terminal are determined.

[0083] Based on the requirement information, the first node generates an uplink data channel model that matches the demand information through analysis and calculation based on AI technology. The first node transmits the uplink data channel model to the second node. The uplink data channel model may be indicated by second index information and / or second version information and / or a set of information. In this embodiment, the uplink data channel model is indicated by second index information.

[0084] In step 3, as shown in FIG. 6, the second node receives the uplink data channel model, obtains the second index information by decoding, searches for the corresponding uplink data channel model from the AI server or other known nodes according to the second index information, downloads it locally, and further obtains the "data channel model on the transmission side".

[0085] Whether the "data channel model on the receiving side" is transmitted to the second node by the uplink data channel model is determined by the first node. It should be noted that the transmission side may be understood as the terminal side, and the receiving side may be understood as the network side. That is, the terminal side can know the data channel model on the terminal side, and for the data channel model on the network side, the network side decides whether to transmit it to the terminal side by itself.

[0086] In step 4, the second node transmits the input information bits to be transmitted to the "data channel model on the transmission side", and then transmits the generated data that has passed through the "data channel model on the transmission side".

[0087] In step 5, the receiving side passes the received data through the "data channel model on the receiving side" and further receives the output information bit.

[0088] Embodiment 2 FIG. 7 is a schematic diagram of a transmission method of a preferred data channel model according to Embodiment 2. In FIG. 7, the second node needs to perform downlink data reception. Specifically, it includes the following steps 1 to 5.

[0089] In step 1, when the second node needs to perform downlink data transmission, it transmits downlink data transmission requirement information to the first node. The downlink data transmission requirement information includes downlink data transmission modeling information and the second node modeling information. In this embodiment, the downlink data transmission requirement information is a set of information.

[0090] In step 2, after the first node receives the downlink data transmission requirement information transmitted from the second node, based on the requirement information, through analysis and calculation based on AI technology, it generates a downlink data channel model that matches the requirement information. The first node transmits the downlink data channel model to the second node. In this embodiment, the downlink data channel model is indicated by first index information.

[0091] In step 3, as shown in the following figure, the second node receives the downlink data channel model, obtains the first index information by decoding, searches for the corresponding downlink data channel model from the AI server or other known nodes according to the first index information, downloads it locally, and further obtains the "data channel model on the receiving side". Whether the "data channel model on the transmitting side" is transmitted to the second node by the downlink data channel model is determined by the first node.

[0092] In step 4, the base station side transmits the input information bits to be transmitted to the "data channel model on the transmitting side", and then transmits the generated data that has passed through the "data channel model on the transmitting side".

[0093] In step 5, the second node passes the received data through the "data channel model on the receiving side" and further receives the output information bit.

[0094] Example 3 FIG. 8 is a schematic diagram of a preferred data channel model transmission method according to Example 3. In FIG. 8, the second node needs to perform uplink data transmission. Specifically, it includes the following steps 1 to 5.

[0095] In step 1, when the second node needs to perform uplink data transmission, it transmits uplink data transmission requirement information to the first node. The uplink data transmission requirement information includes uplink data transmission modeling information and the second node modeling information.

[0096] In step 2, after the first node receives the uplink data transmission requirement information transmitted from the second node, based on the requirement information, it generates an uplink data channel model that matches the requirement information through analysis and calculation. The first node transmits the uplink data channel model to the second node.

[0097] In step 3, as shown in the following figure, the second node receives the uplink data channel model, and by decoding or analyzing the uplink data channel model, it obtains the "data channel model on the transmitting side". The "data channel model on the transmitting side" mainly realizes the functions of encoding and modulation. Regarding "layer mapping" and "data transmission", the second node still determines the processing method to be used by itself. Also, whether the "data channel model on the receiving side" is transmitted to the second node by the uplink data channel model is determined by the first node.

[0098] In step 4, the second node transmits the input information bits to be sent to the "data channel model on the transmitting side", and then continues to pass the generated data that has passed through the "data channel model on the transmitting side" through the "layer mapping" and "data transmission" modules and further transmits it.

[0099] In step 5, the receiving side passes the received data through the "MIMO processing" module, further through the "data channel model on the receiving side", and further receives the output information bit.

[0100] Example 4 FIG. 9 is a schematic diagram of a preferred data channel model transmission method according to Example 4. In FIG. 9, the second node needs to perform uplink data transmission. Specifically, it includes the following steps 1 to 5.

[0101] In step 1, when the second node needs to perform uplink data transmission, it transmits uplink data transmission requirement information to the first node. The uplink data transmission requirement information includes uplink data transmission modeling information and the second node modeling information.

[0102] In step 2, after the first node receives the uplink data transmission requirement information transmitted from the second node, based on the requirement information, it generates an uplink data channel model that matches the requirement information through analysis and calculation. The first node transmits the uplink data channel model to the second node.

[0103] In step 3, as shown in the following figure, the second node receives the uplink data channel model, and by decoding or analyzing the uplink data channel model, it obtains "module 1 in the data channel model on the transmitting side" and "module 2 in the data channel model on the transmitting side".

[0104] "Module 1 in the data channel model on the transmitting side" mainly realizes the encoding function. "Module 2 in the data channel model on the transmitting side" mainly realizes the MIMO function. Regarding "data transmission", still, the second node determines the processing method to be used by itself. Also, whether "Module 1 in the data channel model on the receiving side" and "Module 2 in the data channel model on the receiving side" are transmitted to the second node by the uplink data channel model is determined by the first node.

[0105] In step 4, the second node transmits the input information bits to be transmitted to "Module 1 in the data channel model on the transmitting side", and then passes the generated data that has passed through "Module 1 in the data channel model on the transmitting side" to the "modulation" module, and then passes the generated data to "Module 2 in the data channel model on the transmitting side", and finally transmits it by the "data transmission" module.

[0106] In step 5, the receiving side passes the received data through "Module 2 in the data channel model on the receiving side" to realize the MIMO processing function, and further passes it through the "demodulation" module, and then passes it through "Module 1 in the data channel model on the receiving side", and further receives the output information bit.

[0107] FIG. 10 is a flowchart of a preferred information transmission method according to an embodiment of the present disclosure. As shown in FIG. 10, the steps of the data transmission method include the following step S1002.

[0108] In S1002, the second node receives the first type of control information sent from the first node. The first type of control information indicates a data channel generation method, and the data channel generation method includes at least one of a first data channel generation method already stored and a second data channel generation method for determining a data channel according to a data channel model. The data channel model is determined by a method in which the first node receives data transmission requirement information sent from the second node and determines a data channel model matching the data transmission requirement information based at least on the data transmission requirement information.

[0109] According to the above steps, the second node receives the first type of control information sent from the first node. The first type of control information indicates a data channel generation method, and the data channel generation method includes at least one of a first data channel generation method already stored and a second data channel generation method for determining a data channel according to a data channel model. The data channel model is determined by a method in which the first node receives data transmission requirement information sent from the second node and determines a data channel model matching the data transmission requirement information based at least on the data transmission requirement information. In the above steps, the first node may be on the network side, and the second node may be a terminal or the like. Based on the data transmission requirement information of the terminal, a corresponding data channel model is determined, and according to the second data channel generation method for determining a data channel according to the data channel model, a data channel generation method corresponding to the terminal can be determined based on the requirements of different types of terminals, thereby solving the problem that in the prior art, there is a lack of a method for generating a data channel model for different terminal types and further restricting the data transmission efficiency of the terminal.

[0110] Preferably, in an exemplary embodiment, the data channel generation method may further include an existing data channel generation method, for example, a method for generating a Physical Downlink Shared Channel (PDSCH) scheduled by a Physical Downlink Control Channel (PDCCH) in a Long Term Evolution (LTE) / NR system.

[0111] Preferably, in an exemplary embodiment, when the second node does not detect the first type of control information, it is determined to use an existing or stored first data channel generation method.

[0112] In an exemplary embodiment, when the first type of control information indicates that the data channel generation method is the first data channel generation method, the second node detects the second type of control information, and after detecting the second type of control information, the second node completes data transmission on the first type of data channel according to the scheduling information of the first type of data channel included in the second type of control information.

[0113] It should be noted that the data transmission process includes two types. The first type is uplink data transmission by the terminal, and the second type is downlink data reception by the terminal. In the embodiments of the present disclosure, the above two types of data transmission processes are collectively referred to as data transmission.

[0114] For the sake of clarity of the above embodiments, as shown in FIG. 11, FIG. 11 is a schematic diagram of a preferred frame structure according to an embodiment of the present disclosure. In FIG. 11, when it is indicated by the first type of control information that the generation method of the data channel is the first data channel generation method, the second node further detects the second type of control information. The second type of control information is carried by the PDCCH and can be detected by a blind detection method. After detecting the second type of control information, the second node completes the transmission or reception of data on the first type of data channel according to the scheduling information of the first type of data channel.

[0115] In an exemplary embodiment, when it is indicated by the first type of control information that the generation method of the data channel is the second data channel generation method, the data transmission on the second data channel is completed according to the data channel model.

[0116] Furthermore, the method for determining the data channel model can use any one of the methods in the above embodiments. The generation method of the data channel in the first type of control information may be at least one of the previously stored first data channel generation method and the second data channel generation method for determining the data channel according to the data channel model.

[0117] For the sake of clarity of the above embodiments, as shown in FIG. 12, FIG. 12 is a schematic diagram (part 2) of a preferred frame structure according to an embodiment of the present disclosure. In FIG. 12, when it is indicated by the first type of control information that the generation method of the data channel is the second data channel generation method, the data transmission on the second data channel is completed based on the data channel model.

[0118] From the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiments may be realized by combining software with the necessary general-purpose hardware platform, and of course, it may also be realized by hardware. However, in many cases, the former is a preferred embodiment. Based on such an understanding, the essence of the technical solution of the present disclosure or the part that contributes to the prior art is embodied in the form of a software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions for causing a second node device (which may be a mobile phone, a computer, a server, a network device, etc.) to execute the method of each embodiment of the present disclosure.

[0119] FIG. 13 is a block diagram of a transmission device of a preferred data channel model according to an embodiment of the present disclosure. As shown in FIG. 13, the data transmission device includes a first receiving module 1302 configured to receive data transmission requirement information transmitted from a second node, a calculation module 1304 configured to determine a data channel model matching the data transmission requirement information based at least on the data transmission requirement information, and a first transmission module 1306 configured to transmit the data channel model matching the second node to the second node.

[0120] According to the above device, the first node receives the data transmission requirement information sent from the second node, and the first node determines a data channel model that matches the data transmission requirement information based at least on the data transmission requirement information, and sends the data channel model that matches the second node to the second node. In the above device, the first node may be on the network side, and the second node may be a terminal or the like. Based on the data transmission requirement information of the terminal, a corresponding data channel model is determined and sent to the terminal. Therefore, based on the requirements of different types of terminals, the data channel model corresponding to the terminal can be determined, thereby solving the problem that in the prior art, there is a lack of a method for generating a data channel model for different terminal types and further restricting the data transmission efficiency of the terminal.

[0121] In an exemplary embodiment, the data transmission requirement information includes at least one of data transmission modeling information and second node modeling information.

[0122] In an exemplary embodiment, the data transmission requirement information includes at least one of first index information, first version information, and a set of information.

[0123] In an exemplary embodiment, after receiving the data transmission requirement information sent from the second node, if the data transmission requirement information is the first index information and / or the first version information, the method further includes the step of the first node searching for the data transmission modeling information and / or the second node modeling information corresponding to the first index information and / or the first version information from the information stored locally.

[0124] In an exemplary embodiment, after the first receiving module 1302 further receives the data transmission requirement information sent from the second node, if the data transmission requirement information is a set of information, the first node is configured to decrypt the set of information to obtain specific information included in the data transmission modeling information and / or specific information included in the second node modeling information.

[0125] In an exemplary embodiment, the data transmission modeling information includes at least one of a peak transmission rate requirement of the data transmission demand, a transmission delay requirement of the data transmission demand, a service type of the data transmission demand, a transmission time distribution of the data transmission demand, and a transmission rate distribution within the transmission time distribution of the data transmission demand.

[0126] In an exemplary embodiment, the second node modeling information includes at least one of position distribution information of the second node, type information of the second node, basic information of the second node, and communication setting information supported by the second node.

[0127] In an exemplary embodiment, the calculation module 1304 is further configured to obtain at least one of radio wave propagation characteristic information, wireless channel characteristic information, environmental information, and network setting information, and determine a data channel model matching the second node.

[0128] In an exemplary embodiment, the radio wave propagation characteristic information includes at least one of a used frequency band and a propagation mode.

[0129] In an exemplary embodiment, the wireless channel characteristic information includes at least one of large-scale fading characteristics, small-scale fading characteristics, a time-domain change rule of the wireless channel, a frequency-domain change rule of the wireless channel, a spatial-domain change rule of the wireless channel, and a change rule of the wireless channel in a specific application scenario.

[0130] In an exemplary embodiment, the environmental information includes at least one of geographical location information of the wireless communication network, terrain information of the wireless communication network, weather condition information of the wireless communication network, and electromagnetic interference information of the wireless communication network.

[0131] In an exemplary embodiment, the network configuration information includes at least one of network topology information, network node location information, basic information of network nodes, and communication configuration information supported by the network.

[0132] FIG. 14 is a block configuration diagram of a receiving apparatus of a preferred data channel model according to an embodiment of the present disclosure. As shown in FIG. 14, the data processing apparatus includes a second transmission module 1402 configured to transmit data transmission requirement information to a first node; a second receiving module that receives data channel model information determined based on at least the data transmission requirement information transmitted from the first node, and obtains at least one of setting information of N functional modules and M functional modules from the data channel model information, where N and M are both integers greater than or equal to 1, the second receiving module 1404.

[0133] According to the above apparatus, the second node transmits data transmission requirement information to the first node, and the second node receives data channel model information determined based on the data transmission requirement information transmitted from the first node, and obtains at least one of setting information of N functional modules and M functional modules from the data channel model information. The first node determines a data channel model matching the data transmission requirement information based on at least the data transmission requirement information, and transmits the data channel model matching the second node to the second node. In the above apparatus, the first node may be on the network side, and the second node may be a terminal or the like. Based on the data transmission requirement information of the terminal, a corresponding data channel model is determined and transmitted to the terminal. Therefore, based on the requirements of different types of terminals, the data channel model corresponding to the terminal can be determined, thereby solving the problem that in the prior art, there is a lack of a method for generating a data channel model for different terminal types and further limiting the data transmission efficiency of the terminal.

[0134] In an exemplary embodiment, the data transmission requirement information includes at least one of data transmission modeling information and second node modeling information.

[0135] In an exemplary embodiment, the data transmission requirement information includes at least one of first index information, first version information, and a set of information.

[0136] In an exemplary embodiment, when the data transmission requirement information is the first index information and / or the first version information, the second receiving module 1404 further configures the second node to search for data transmission modeling information and / or second node modeling information corresponding to the first index information and / or the first version information from the locally stored information.

[0137] In an exemplary embodiment, when the data transmission requirement information is a set of information, the second receiving module 1404 is further configured to cause the second node to decrypt the set of information to obtain specific information included in the data transmission modeling information and / or specific information included in the second node modeling information.

[0138] In an exemplary embodiment, after the second receiving module 1404 further obtains at least one of the setting information of N functional modules and M functional modules from the data channel model information, during data transmission, the second receiving module 1404 uses the N functional modules and / or configures the second node to generate the M functional modules based on the setting information of the M functional modules and use the M functional modules during data transmission.

[0139] In an exemplary embodiment, the second receiving module 1404 is further configured to determine other functional modules required by the second node during the data transmission according to one of a method instructed by the first node, a local default setting of the second node, and a method determined by the second node itself.

[0140] FIG. 15 is a block configuration diagram of a preferred information transmission apparatus according to an embodiment of the present disclosure. As shown in FIG. 15, the data transmission apparatus includes a third receiving module configured to receive first-type control information transmitted from a first node, where the first-type control information indicates a generation method of a data channel, the generation method of the data channel is a first data channel generation method already stored, and a second data channel generation method, and includes at least one of them, the data channel model includes a third receiving module 1502 determined by a method in which a first node receives data transmission requirement information transmitted from a second node and determines a data channel model matching the data transmission requirement information based on at least the data transmission requirement information.

[0141] According to the above apparatus, the second node receives first-type control information transmitted from the first node, where the first-type control information indicates a generation method of a data channel, the generation method of the data channel includes at least one of a first data channel generation method already stored and a second data channel generation method for determining a data channel according to a data channel model, the data channel model is determined by a method in which a first node receives data transmission requirement information transmitted from a second node and determines a data channel model matching the data transmission requirement information based on at least the data transmission requirement information. In the above apparatus, the first node may be on the network side, and the second node may be a terminal or the like. Based on the data transmission requirement information of the terminal, a corresponding data channel model is determined, and a second data channel generation method for determining a data channel according to the data channel model can be used to determine a data channel generation method corresponding to the terminal based on the requirements of different types of terminals, thereby solving the problem in the prior art that there is a lack of a method for generating a data channel model for different terminal types and further limiting the data transmission efficiency of the terminal.

[0142] In an exemplary embodiment, when the third receiving module 1502 further indicates, according to the first type of control information, that the generation method of the data channel is the first data channel generation method, the second node detects the second type of control information, and after detecting the second type of control information, the second node is configured to complete data transmission on the first type of data channel according to the scheduling information of the first type of data channel included in the second type of control information.

[0143] In an exemplary embodiment, when the third receiving module 1502 further indicates, according to the first type of control information, that the generation method of the data channel is the second data channel generation method, the data transmission on the second data channel is completed according to the data channel model.

[0144] The embodiments of the present disclosure further provide a storage medium storing a computer program, which is configured to execute the steps in the embodiments of any of the above methods when executed.

[0145] Preferably, in this embodiment, the storage medium The first node receives the data transmission requirement information sent from the second node in step S1, The first node determines, in step S2, a data channel model matching the data transmission requirement information based on at least the data transmission requirement information, and may be configured to store a computer program that executes step S3 of sending the data channel model matching the second node to the second node.

[0146] Preferably, in another embodiment, the storage medium The first node receives the data transmission requirement information sent from the second node in step S1, The second node receives data channel model information determined based on at least the data transmission requirement information transmitted from the first node, and obtains at least one of N functional modules and setting information of M functional modules from the data channel model information, where both N and M are integers greater than or equal to 1, and step S2 may be configured to store a computer program for executing the above steps.

[0147] Preferably, in yet another embodiment, the storage medium The second node receives control information of a first type transmitted from the first node, where the control information of the first type indicates a generation method of a data channel. The generation method of the data channel already stored first data channel generation method, and a second data channel generation method for determining a data channel according to a data channel model, and includes at least one of them. The data channel model may be configured to store a computer program for executing step S1, in which the first node receives data transmission requirement information transmitted from the second node, and determines a data channel model matching the data transmission requirement information based on at least the data transmission requirement information. In an embodiment of the present disclosure, further provided is an electronic device including a memory storing a computer program, and a processor configured to execute the steps in the embodiments of any of the above methods by executing the computer program.

[0148] Preferably, in this embodiment, the processor, by a computer program, The first node receives step S1 of data transmission requirement information transmitted from the second node, and the first node determines step S2 of a data channel model matching the data transmission requirement information based on at least the data transmission requirement information. Step S3 of transmitting a data channel model that matches the second node to the second node may be configured to be executed.

[0149] Preferably, in another embodiment, the processor is implemented by a computer program. The first node may be configured to execute step S1 of receiving data transmission requirement information transmitted from the second node. The second node may be configured to execute step S2 of receiving data channel model information determined based at least on the data transmission requirement information transmitted from the first node, and obtaining at least one of N functional modules and setting information of M functional modules from the data channel model information, where N and M are both integers greater than or equal to 1.

[0150] Preferably, in yet another embodiment, the processor is implemented by a computer program. The second node may be configured to execute a step of receiving first type control information transmitted from the first node, where the first type control information indicates a data channel generation method. The data channel generation method includes at least one of a first data channel generation method already stored, and a second data channel generation method for determining a data channel based on a data channel model. The data channel model may be configured to execute step S1 of determining a data channel model that matches the data transmission requirement information by a method in which the first node receives data transmission requirement information transmitted from the second node and determines a data channel model that matches at least the data transmission requirement information.

[0151] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device. The transmission device is connected to the processor, and the input / output device is connected to the processor.

[0152] Specific examples in this embodiment can refer to the examples described in the above embodiments and exemplary embodiments, so the description of this embodiment will be omitted here for brevity.

[0153] Obviously, those skilled in the art will understand that each module or step in the present disclosure described above may be implemented on a general-purpose computing device, they may be concentrated on a single computing device, or distributed across a network composed of multiple computing devices, and they may be implemented by program codes executable on the computing device. Thus, they can be stored in a storage device and executed by a computing device, and in some cases, the steps illustrated or described can be executed in an order different from that in this specification, or they can be made into each integrated circuit module respectively, or multiple of them can be made into a single integrated circuit module for implementation. Accordingly, the present disclosure is not limited to any specific combination of hardware and software.

[0154] The above are only examples of the present disclosure and do not limit the present disclosure. Those skilled in the art can make various changes and modifications to the present disclosure. Any modifications, equivalent replacements, improvements, etc. made within the principles of the present disclosure should all be included within the protection scope of the present disclosure.

Claims

1. The first node receives data transmission requirement information transmitted from the second node, The first node determines a data channel model that matches the data transmission requirement information based on at least the data transmission requirement information, and transmits the data channel model that matches the second node to the second node, A method for transmitting a data channel model.

2. The data transmission requirement information includes at least one of data transmission modeling information and second node modeling information, The method according to claim 1.

3. The data transmission requirement information is first index information, first version information, and a set of information, including at least one of The method according to claim 1.

4. After the first node receives the data transmission requirement information transmitted from the second node, the method further includes When the data transmission requirement information is the first index information and / or the first version information, the first node further searches for data transmission modeling information and / or second node modeling information corresponding to the first index information and / or the first version information from the information stored locally, The method according to claim 3.

5. After the first node receives the data transmission requirement information transmitted from the second node, the method further includes When the data transmission requirement information is a set of information, the first node further includes decrypting the set of information to obtain specific information included in the data transmission modeling information and / or specific information included in the second node modeling information, The method according to claim 3.

6. The data transmission modeling information includes the peak transmission rate requirement of the data transmission demand, the transmission delay requirement of the data transmission demand, the service type of the data transmission demand, the transmission time distribution of the data transmission demand, and at least one of the transmission rate distribution within the transmission time distribution of the data transmission demand. The method according to claim 2.

7. The second node modeling information includes the position distribution information of the second node, the type information of the second node, the basic information of the second node, and at least one of the communication setting information supported by the second node. The method according to claim 2.

8. The step in which the first node determines a data channel model that matches the second node based on at least the data transmission demand information is The first node further acquires at least one of radio wave propagation characteristic information, radio channel characteristic information, environment information, and network setting information, and further includes the step of determining a data channel model that matches the second node. The method according to claim 1.

9. The radio wave propagation characteristic information includes at least one of the operating frequency band and the propagation mode. The method according to claim 8.

10. The radio channel characteristic information includes large-scale fading characteristics, small-scale fading characteristics Time-domain change rules of a wireless channel, Frequency-domain change rules of a wireless channel, Spatial-domain change rules of a wireless channel, and Change rules of a wireless channel in a specific application scenario, including at least one of them, The method according to claim 8.

11. The environmental information is Geographic location information of a wireless communication network, Topographic information of a wireless communication network, Meteorological condition information of a wireless communication network, and Electromagnetic interference information of a wireless communication network, including at least one of them, The method according to claim 8.

12. The network configuration information is Network topology information, Network node location information, Basic information of a network node, and Communication configuration information supported by the network, including at least one of them, The method according to claim 8.

13. The second node transmits data transmission requirement information to the first node, and The second node receives data channel model information transmitted from the first node and determined based on at least the data transmission requirement information, and obtains at least one of the setting information of N functional modules and M functional modules from the data channel model information, where N and M are both integers greater than or equal to 1, including the step of, A method for receiving a data channel model.

14. The data transmission requirement information includes at least one of data transmission modeling information and second node modeling information, The method according to claim 13.

15. The data transmission requirement information is at least one of first index information, first version information, and a set of information, The method according to claim 14. After the second node transmits the data transmission requirement information to the first node, the method further includes when the data transmission requirement information is the first index information and / or the first version information, the step that the second node searches for data transmission modeling information corresponding to the first index information and / or the first version information and / or second node modeling information from the locally stored information, The method according to claim 15.

17. After the second node transmits the data transmission requirement information to the first node, the method further includes when the data transmission requirement information is a set of information, the step that the second node further includes decrypting the set of information to obtain specific information included in the data transmission modeling information and / or specific information included in the second node modeling information, The method according to claim 15.

18. After obtaining at least one of N functional modules and setting information of M functional modules from the data channel model information, the method further includes the step that the second node uses the N functional modules during data transmission, and / or the step that the second node generates the M functional modules based on the setting information of the M functional modules and uses the M functional modules during data transmission, The method according to claim 13.

19. During the data transmission, other functional modules required by the second node are determined by one of the following methods: the method instructed by the first node, the local default settings of the second node, and the method determined by the second node itself. The method according to claim 13.

20. The second node receives first-type control information transmitted from the first node, where the first-type control information indicates a data channel generation method, The data channel generation method includes at least one of a first data channel generation method already stored and a second data channel generation method for determining a data channel according to a data channel model. The data channel model is determined by a method including: the first node receives data transmission requirement information transmitted from the second node, and determines a data channel model matching the data transmission requirement information based on at least the data transmission requirement information. An information transmission method.

21. When the first-type control information indicates that the data channel generation method is the first data channel generation method, the second node detects second-type control information, and after detecting the second-type control information, the second node completes data transmission on the first-type data channel according to the scheduling information of the first-type data channel included in the second-type control information. The method according to claim 20.

22. When the first-type control information indicates that the data channel generation method is the second data channel generation method, the second node completes data transmission on the second data channel according to the data channel model. The method according to claim 20.

23. A data channel model transmission device applied to a first node, comprising: a first receiving module configured to receive data transmission requirement information transmitted from a second node; a calculation module configured to determine a data channel model matching the data transmission requirement information based on at least the data transmission requirement information; a first transmission module configured to transmit the data channel model matching the second node to the second node. A data channel model transmission device.

24. A data channel model receiving device applied to a second node, comprising: a second transmission module configured to transmit data transmission requirement information to a first node; a second receiving module configured to receive the data channel model determined based on the data transmission requirement information transmitted from the first node, and obtain at least one of setting information of N functional modules in data transmission and setting information of M functional modules in data transmission from the data channel model. A data channel model receiving device.

25. Including a third receiving module configured to receive first type control information transmitted from a first node, where the first type control information indicates a data channel generation method, The data channel generation method includes: a first data channel generation method already stored, and a second data channel generation method for determining a data channel by a data channel model, including at least one of them, The data channel model is An information transmission device determined by a method in which a first node receives data transmission demand information transmitted from a second node and determines a data channel model that matches the data transmission demand information based on at least the data transmission demand information. Information transmission device.

26. A computer-readable storage medium storing a computer program, wherein when the computer program is executed, it is configured to execute the method according to any one of claims 1 to 12, or the method according to any one of claims 13 to 19, or the method according to any one of claims 20 to 22. Computer-readable storage medium.

27. A memory storing a computer program, and a processor configured to execute the computer program to execute the method according to any one of claims 1 to 12, or the method according to any one of claims 13 to 19, or the method according to any one of claims 20 to 22. Electronic device.

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