Data transmission control method, device, electronic device and readable storage medium

Abstract

The present invention provides a data transmission method, device, electronic device and readable storage medium. The data transmission control method applied to a transmitting device in a communication system includes parsing the transmission characteristics of an SDU carrying a target QoS data stream through parsing rules in an SDAP, wherein the target QoS data stream is sent after being mapped to a DRB; generating a target mapping relationship of the target QoS data stream to the DRB based on parameter indicators of the target QoS data stream and the transmission characteristics; and updating the parsing rules based on the target mapping relationship. In this way, during the data transmission process, the embodiment of the present invention can provide more accurate parsing rules for data transmission control by updating the parsing rules according to the transmission characteristics, thereby optimizing the data transmission control process.

Description

Technical Field

[0001] Embodiments of the present invention relate to the field of communication technologies, and in particular to a data transmission control method, device, electronic device, and readable storage medium. Background Art

[0002] In research on 6G (sixth-generation mobile communication standard) network technology, native AI networks have become a core feature of 6G networks. In 6G networks with native AI, AI (artificial intelligence) no longer simply optimizes wireless resources; it becomes an integrated intelligent system (AI system) that integrates the core network, transmission network, and wireless access. To ensure consistent data transmission control between the transmitter and receiver, the data transmission control process must be optimized. Summary of the Invention

[0003] Embodiments of the present invention provide a data transmission control method, device, electronic device, and readable storage medium to optimize the data transmission control process.

[0004] To solve the above problems, the present invention is achieved as follows:

[0005] In a first aspect, an embodiment of the present invention provides a data transmission control method, which is applied to a transmitting device in a communication system, and the method includes the following steps:

[0006] parsing transmission characteristics of a service data unit (SDU) carrying a target quality of service (QoS) data flow through intelligent parsing rules in a service data adaptation protocol (SDAP), wherein the target QoS data flow is sent after being mapped to a data radio bearer (DRB);

[0007] Generate a target mapping relationship between the target QoS data flow and the DRB according to the parameter index of the target QoS data flow and the transmission characteristics;

[0008] The parsing rules are updated according to the target mapping relationship.

[0009] In some embodiments, the SDAP is provided with an AI module, and the SDAP parses the transmission feature according to the parsing rule through the AI ​​module.

[0010] In some embodiments, the parameter indicator includes a QoS transmission requirement corresponding to the SDU, and generating a target mapping relationship between the target QoS data flow and the DRB based on the parameter indicator of the target QoS data flow and the transmission characteristics includes:

[0011] Obtaining a QoS transmission requirement of each of the multiple SDUs carrying the target QoS data flow;

[0012] A target mapping relationship between the target QoS data flow and the sending characteristics is generated according to the QoS sending requirements corresponding to each of the SDUs, wherein the transmission characteristics include the sending characteristics.

[0013] In some embodiments, the parameter indicator includes a QoS transmission requirement corresponding to the QoS data flow;

[0014] The generating, according to the parameter index of the target QoS data flow and the transmission characteristics, a target mapping relationship of mapping the target QoS data flow to the DRB includes:

[0015] Obtaining a QoS sending requirement corresponding to the target QoS data flow;

[0016] A target mapping relationship between the target QoS data flow and the transmission characteristics is generated according to the QoS transmission requirements corresponding to the target QoS data flow, wherein the transmission characteristics include the transmission characteristics.

[0017] In some embodiments, before parsing the transmission characteristics of the SDU carrying the target QoS data flow using the parsing rules in the SDAP, the method further includes:

[0018] The receiving device returns a receiving characteristic for the target QoS data flow, wherein the transmission characteristic includes the receiving characteristic.

[0019] In some embodiments, generating a target mapping relationship between the target QoS data flow and the DRB based on the parameter index of the target QoS data flow and the transmission characteristics includes:

[0020] Generate a target mapping relationship between the target QoS data flow and the receiving characteristics.

[0021] In some embodiments, after updating the parsing rules according to the target mapping relationship, the method further includes:

[0022] Sending the parsing rule to the receiving device;

[0023] receiving feedback information returned by the receiving device in response to the parsing rule;

[0024] The parsing rules are updated according to the feedback information.

[0025] In some embodiments, the parsing rule and / or the feedback information is transmitted in an AI protocol data unit (PDU) via a radio resource control (RRC).

[0026] In a second aspect, an embodiment of the present invention further provides a data transmission control method, which is applied to a receiving device in a communication system.

[0027] The method comprises the following steps:

[0028] Upon receiving a target QoS data flow, obtaining a reflective mapping result of the target QoS data flow to the DRB;

[0029] Analyzing the reflection mapping result through a parsing rule to obtain a reception feature corresponding to the target QoS data flow, wherein the parsing rule is sent by the transmitting device to the receiving device;

[0030] Feedback information regarding the parsing rule is sent to the transmitting device, wherein the feedback information carries the receiving feature.

[0031] In some embodiments, the feedback information further carries a working status of the parsing rule, where the working status includes one or more of a working delay and a working accuracy rate.

[0032] In a third aspect, an embodiment of the present invention further provides a data transmission control device, which is applied to a transmitting device in a communication system, and the device includes:

[0033] a transmission feature parsing module, configured to parse the transmission features of a service data unit (SDU) carrying a target quality of service (QoS) data flow through an intelligent parsing rule in a service data adaptation protocol (SDAP), wherein the target QoS data flow is sent after being mapped to a data radio bearer (DRB);

[0034] A target mapping relationship generating module, configured to generate a target mapping relationship mapping the target QoS data flow to the DRB according to the parameter indicators of the target QoS data flow and the transmission characteristics;

[0035] An updating module is used to update the parsing rules according to the target mapping relationship.

[0036] In a fourth aspect, an embodiment of the present invention further provides a data transmission control device, applied to a receiving device in a communication system, the device comprising:

[0037] A reflection mapping result acquisition module, configured to, upon receiving a target QoS data flow, acquire a reflection mapping result from the target QoS data flow to the DRB;

[0038] a reflection mapping result analysis module, configured to analyze the reflection mapping result by using an analysis rule to obtain a reception feature corresponding to the target QoS data flow, wherein the analysis rule is sent by the transmitting device to the receiving device;

[0039] A feedback information sending module is used to send feedback information for the parsing rule to the transmitting device, wherein the feedback information carries the receiving feature.

[0040] In the fifth aspect, an embodiment of the present invention also provides an electronic device, comprising: a memory, a processor, and a program stored in the memory and executable on the processor; the processor is configured to read the program in the memory to implement the steps of the method described in the first or second aspect above.

[0041] In a sixth aspect, an embodiment of the present invention further provides a readable storage medium for storing a program, which, when executed by a processor, implements the steps of the method described in the first or second aspect above.

[0042] In an embodiment of the present invention, the transmission characteristics of an SDU carrying a target QoS data flow are parsed using parsing rules in the SDAP, wherein the target QoS data flow is sent after being mapped to a DRB; a target mapping relationship is generated for mapping the target QoS data flow to the DRB based on parameter indicators of the target QoS data flow and the transmission characteristics; and the parsing rules are updated based on the target mapping relationship. Thus, during the data transmission process, by updating the parsing rules based on the transmission characteristics, the embodiment of the present invention can provide more accurate parsing rules for data transmission control, thereby optimizing the data transmission control process. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in describing the embodiments of the present invention. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0044] Figure 1 This is a diagram of data transmission using the SDAP protocol in related technology;

[0045] Figure 2 2. It is a schematic diagram of the AI ​​radio bearer protocol stack according to one embodiment of the present invention;

[0046] Figure 3 is a flow chart of a data transmission control method according to an embodiment of the present invention;

[0047] Figure 4 Schematic diagram of data transmission using the SDAP protocol according to an embodiment of the present invention;

[0048] Figure 5 is a flow chart of another data transmission control method according to an embodiment of the present invention;

[0049] Figure 6 It is a structural diagram of a data transmission device in one embodiment of the present invention;

[0050] Figure 7 is a schematic structural diagram of another data transmission device according to an embodiment of the present invention;

[0051] Figure 8 It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0053] The terms "first", "second" etc. in the embodiments of the present invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or equipment comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or that are inherent to these processes, methods, products or equipment. In addition, "and / or" is used in this application to represent at least one of the connected objects, for example A and / or B and / or C, which means comprising 7 situations including single A, single B, single C, and both A and B exist, both B and C exist, both A and C exist, and both A, B and C exist.

[0054] With the development of communication technology, research on 6G (6th generation mobile networks or 6th generation wireless systems, 6th-Generation, sixth generation mobile communication technology) technology has gradually begun.

[0055] The 37.324 protocol defines the functions of the SDAP (Service Data Adaptation Protocol).

[0056] like Figure 1As shown, in one embodiment, a UE (User Equipment) in a communication system includes a transmitting device (Transmitting SDAP entity) and a receiving device (Receiving SDAP entity), and the UE can access a network through a wireless access network (NG-RAN) to achieve a communication connection.

[0057] In this embodiment, the transmitting device and the receiving device can be either network-side devices or terminal devices. That is, the network-side device can serve as the transmitting device and the terminal device as the receiving device, or the network-side device can serve as the receiving device and the terminal device as the transmitting device. Furthermore, different terminal devices can serve as the transmitting device and the receiving device, respectively. This embodiment uses the network-side device as the transmitting device and the terminal device as the receiving device for illustrative purposes only.

[0058] Please continue reading Figure 1 SDAP is responsible for QoS Flow (Quality of Service) mapping (Mapping of QoS Flow to a DRB) and demapping, as well as optional reflective mapping function (Reflective QoS Flow to DRB mapping).

[0059] When a sending SDAP entity receives an SDAP SDU (service data unit) from an upper-layer QoS Flow, if the SDU does not meet any existing QoS Flow to DRB (Data Radio Bearer) mapping rules, the SDAP PDU (Protocol Data Unit) is mapped to the default DRB; otherwise, the SDU is mapped to a DRB that meets the mapping rules.

[0060] For a configured SDAP header, an SDAP entity receives SDAP SDUs from the upper layer, packages them into SDAP PDUs, and finally sends the SDAP PDUs to the receiving SDAP entity through the lower layer (PDCP, Packet Data Convergence Protocol).

[0061] The receiving SDAP entity receives the SDAP PDU sent by the peer SDAP entity from the lower layer, removes the SDAP header, and delivers the SDAP SDU to the upper layer.

[0062] The transmitting device and the receiving device can communicate based on the Uu air interface Radio Interface (Uu).

[0063] The above process may be specifically referred to the relevant communication protocol and will not be further described or limited here.

[0064] like Figure 2 As shown, in order to achieve end-to-end configurability of AI-related information, this embodiment further defines an AI radio bearer.

[0065] The AI ​​radio bearer is used to carry AI PDUs between network devices and terminal devices. When the network configures the terminal device, it uses the AI ​​bearer to carry AI-related PDUs. When the UE needs to report parsing rules, it also uses the AI ​​bearer to report the relevant PDUs.

[0066] The AI ​​radio bearer is used by the intrinsic intelligence plane to transmit AI-related content, such as AI PDUs and AI measurement information, within the wireless network. The AI ​​bearer is a user-level radio bearer, meaning it is established for a UE only while the UE context is being established. The bearer is released when the UE context is released.

[0067] When a UE initially accesses the network, it establishes an AI radio bearer (AI RB) after completing SB1 / 2 establishment. After the UE establishes the AI ​​radio bearer, it uses this bearer to exchange AI-related information with network-side devices. The AI ​​radio bearer is a control-based bearer used to carry AI-related information on the Control Plane (CP) and User Plane (UP). Each UE only needs to establish one AI radio bearer.

[0068] The AI ​​radio bearer is an end-to-end bearer. When passing through each sublayer (L3, L2) of the access layer (AS layer), the AI ​​radio bearer does not perform bearer or channel mapping. Instead, it is mapped to the corresponding physical layer (PHY) only at the MAC layer.

[0069] An embodiment of the present invention provides a data transmission control method, which is applied to a transmitting device in a communication system.

[0070] like Figure 3 As shown, in some embodiments, the method includes the following steps:

[0071] Step 301: Parse the transmission characteristics of the SDU carrying the target QoS data flow using the parsing rules in SDAP.

[0072] In this embodiment, the target QoS data flow is sent after being mapped to the DRB. For details, please refer to Figure 1 The process shown.

[0073] In some embodiments, an AI module is provided in the SDAP, and the SDAP parses the transmission feature according to the parsing rule through the AI ​​module.

[0074] The AI ​​module is a software module, for example, it can be an AI model or AI algorithm, or other software module with AI parsing capabilities. The AI ​​module can run based on a specific AI chip or on the processor of an electronic device. The AI ​​module can parse transmission characteristics according to parsing rules.

[0075] like Figure 4 As shown, in this embodiment, a data analysis function (Data SDU Analyzing) is further provided. Specifically, a parsing rule for data analysis based on the transmission characteristics of the SDU is introduced. During implementation, for the SDAP SDU carried on the QoS Flow, the transmission characteristics of each QoS Flow are analyzed with each SDU as a unit. Specifically, the data packets transmitted on each QoS Flow are obtained, and the characteristics of the data packets are analyzed through the parsing rules.

[0076] Step 302: Generate a target mapping relationship between the target QoS data flow and the DRB based on the parameter indicators of the target QoS data flow and the transmission characteristics.

[0077] In this embodiment, the target mapping relationship (QoS rule) between the QoS Flow and the DRB is determined in combination with the QoS parameter indicators carried by the QoS Flow.

[0078] In some embodiments, the transmission characteristic specifically includes a sending characteristic.

[0079] In some embodiments, the parameter indicator includes a QoS delivery requirement corresponding to the SDU, and step 302 includes:

[0080] Obtaining a QoS transmission requirement of each of the multiple SDUs carrying the target QoS data flow;

[0081] A target mapping relationship between the target QoS data flow and the sending characteristics is generated according to the QoS sending requirements corresponding to each of the SDUs, wherein the transmission characteristics include the sending characteristics.

[0082] In the technical solution of this embodiment, the QoS requirements for each SDU sent in the SDAP lower layer are formulated and summarized to form a mapping rule from QoS Flow to DRB. In other words, the QoS requirements are formulated based on each SDU.

[0083] In some other embodiments, the parameter indicator includes a QoS transmission requirement corresponding to the QoS data flow; step 302 includes:

[0084] Obtaining a QoS sending requirement corresponding to the target QoS data flow;

[0085] A target mapping relationship between the target QoS data flow and the transmission characteristics is generated according to the QoS transmission requirements corresponding to the target QoS data flow, wherein the transmission characteristics include the transmission characteristics.

[0086] The technical solution of this embodiment can be understood as formulating the QoS requirements sent by each QoS Flow to the lower layer, and forming a mapping rule from each QoS Flow to the DRB.

[0087] In some embodiments, the transmission characteristics also include reception characteristics of the SDU.

[0088] In some embodiments, before step 302, the method further includes:

[0089] The receiving device returns a receiving characteristic for the target QoS data flow, wherein the transmission characteristic includes the receiving characteristic.

[0090] In this embodiment, after sending the target QoS data flow to the receiving device, a reception feature returned by the receiving device for the target QoS data flow is also received, based on the analysis result of the reception feature.

[0091] In some embodiments, step 302 further includes:

[0092] Generate a target mapping relationship between the target QoS data flow and the receiving characteristics.

[0093] After obtaining the analysis results of the received features, a target mapping relationship corresponding to the received features is further generated.

[0094] In this way, based on the above steps, the target mapping relationship corresponding to the sending characteristics and the receiving characteristics can be determined.

[0095] Step 303: Update the parsing rules according to the target mapping relationship.

[0096] After obtaining the target mapping relationship, the target mapping relationship is sent to the mapping service (MappingService). The mapping service updates the existing mapping rules according to the received target mapping relationship and feeds the updated mapping rules back to the QoS Flow mapping function (Mapping QoS Flow to DRB). In this way, when QoS Flow is subsequently transmitted, the QoS Flow will be mapped to the DRB based on the updated mapping rules.

[0097] Data SDU analyzing and QoS flow mapping can be deployed together. This allows data arriving from a QoS flow to pass directly through the data analysis function before entering the QoS flow mapping function. This eliminates the need for additional transmission and introduces no additional system overhead.

[0098] In an embodiment of the present invention, a network function for native AI is provided. In this embodiment of the present invention, the AI ​​information of the receiving device can be configured by the transmitting device. Under the drive of native AI, the AI ​​module provided by the transmitting device can grow by itself.

[0099] In this embodiment, parsing rules are introduced into the mapping control process, and UE-oriented bearer control is achieved through interaction between the transmitting device and the receiving device.

[0100] In some embodiments, after updating the parsing rules according to the target mapping relationship, the method further includes:

[0101] Sending the parsing rule to the receiving device;

[0102] receiving feedback information returned by the receiving device in response to the parsing rule;

[0103] The parsing rules are updated according to the feedback information.

[0104] An embodiment of the present invention also provides an AI PDU assembly and disassembly (Assembling / Disassembling AI) function. The AI ​​PDU assembly and disassembly function is used to send and receive AI PDUs based on AI RBs. Specifically, when sending an AI PDU, the above-mentioned parsing rules are sent to the receiving device based on the AI ​​PDU assembly and disassembly function for use by the receiving device. Furthermore, the AI ​​PDU assembly and disassembly function also receives feedback information returned by the receiving terminal regarding the working process and working status of the parsing rules. The feedback information may include the above-mentioned analysis results of the receiving characteristics. Based on this feedback information, the target mapping relationship can be determined and the parsing rules can be further updated.

[0105] This process is ongoing and can be understood as, during the working process, continuously determining the target mapping relationship based on the sending characteristics and receiving characteristics, and updating the mapping rules based on the target mapping relationship, thereby updating the parsing rules, and then sending the updated parsing rules to the receiving terminal. This iterative cycle is continuously carried out to continuously update the parsing rules, so that the AI ​​module or AI algorithm can iterate quickly, thereby continuously optimizing the data transmission control process.

[0106] In some embodiments, the parsing rule and / or the feedback information is transmitted in an AI protocol data unit (PDU) via a radio resource control (RRC).

[0107] In this embodiment, in SDAP, the AI ​​RB is a bearer that connects the SDAP AI functions of the transmitting device and the receiving device, and is a bidirectional bearer.

[0108] The transmitting device's SDAP uses the AI ​​bearer to configure and update the terminal's parsing rules. The receiving device's SDAP uses the AI ​​bearer to provide feedback on the performance of the AI ​​algorithm configured on the transmitting device, allowing the transmitting device to provide more accurate parsing rules.

[0109] The interaction between the transmitting device SDAP and the receiving device SDAP through AI RB is carried out under the signaling control of the end-to-end AI solution configured by the transmitting device RRC. That is, RRC configures the transmitting device and the receiving device SDAP as a peer-to-peer overall AI solution. On this basis, the transmitting device and the receiving device are gradually updated during the actual data transmission process to achieve precise on-demand control of the AI ​​algorithm.

[0110] The SDAP of the transmitting device is responsible for interacting with the RRC of the transmitting device to achieve direct synchronization of SDAP's AI control and RRC's AI allocation.

[0111] An embodiment of the present invention further provides a data transmission control method, which is applied to a receiving device in a communication system.

[0112] like Figure 5 As shown, in one embodiment, the method includes the following steps:

[0113] Step 501: upon receiving a target QoS data flow, obtaining a reflective mapping result from the target QoS data flow to a DRB;

[0114] Step 502: Analyze the reflection mapping result through parsing rules to obtain the receiving characteristics corresponding to the target QoS data flow.

[0115] In this embodiment, the parsing rules are sent by the transmitting device to the receiving device;

[0116] Step 503: Send feedback information regarding the parsing rule to the transmitting device.

[0117] The feedback information carries the receiving characteristics.

[0118] In this embodiment, the process of receiving the target QoS data flow can refer to the above description and will not be repeated here.

[0119] In this embodiment, the receiving device provides a data analysis function (Data SDU Analyzing). This function performs AI analysis on the reflective mapping of the receiving device to obtain the QoS parameters of the reflective mapping for the DRB, provide the target QoS flow set for the reflective mapping, and provide information such as the decision conditions for initiating the reflective mapping. This information is carried in the feedback information sent to the transmitting device.

[0120] In this embodiment, the receiving device also provides AI PDU assembly and disassembly functions. Similar to the transmitting device, this function is used to send and receive AI PDUs based on AI RBs. When receiving an AI PDU, the receiving device receives the AI ​​model sent by the transmitting device, and when transmitting an AI PDU, the receiving device sends the aforementioned feedback information.

[0121] In this embodiment, an AI updating function is provided in the receiving device. Based on the AI ​​updating function, the parsing rules in the receiving device can be updated according to the received AI PDU.

[0122] In some embodiments, the feedback information further carries a working status of the parsing rule, where the working status includes one or more of a working delay and a working accuracy rate.

[0123] The transmitting device can further adjust and optimize the parsing rules according to the working status of the parsing rules in the receiving device to improve the optimization speed of the parsing rules.

[0124] An embodiment of the present invention further provides a data transmission control device, which is applied to a transmitting device in a communication system.

[0125] like Figure 6 As shown, in some embodiments, the data transmission control device 600 includes:

[0126] The transmission feature parsing module 601 is configured to parse the transmission features of the SDU carrying the target QoS data flow using the intelligent parsing rules in the SDAP, wherein the target QoS data flow is sent after being mapped to the DRB;

[0127] A target mapping relationship generating module 602 is configured to generate a target mapping relationship between the target QoS data flow and the DRB according to the parameter index of the target QoS data flow and the transmission characteristics;

[0128] The updating module 603 is configured to update the parsing rules according to the target mapping relationship.

[0129] In some embodiments, the SDAP is provided with an AI module, and the SDAP parses the transmission feature according to the parsing rule through the AI ​​module.

[0130] In some embodiments, the parameter indicator includes a QoS transmission requirement corresponding to the SDU, and the target mapping relationship generating module 602 includes:

[0131] A sending requirement determination submodule, configured to obtain the QoS sending requirement of each of the multiple SDUs carrying the target QoS data flow;

[0132] The target mapping relationship generation submodule is used to generate a target mapping relationship corresponding to the target QoS data flow and the transmission characteristics according to the QoS transmission requirements corresponding to each SDU, wherein the transmission characteristics include the transmission characteristics.

[0133] In some embodiments, the parameter indicator includes a QoS transmission requirement corresponding to the QoS data flow; the target mapping relationship generation module 602 includes:

[0134] A sending requirement acquisition submodule, configured to acquire the QoS sending requirement corresponding to the target QoS data flow;

[0135] The target mapping relationship determination submodule is used to generate a target mapping relationship corresponding to the target QoS data flow and the sending characteristics according to the QoS sending requirements corresponding to the target QoS data flow, wherein the transmission characteristics include the sending characteristics.

[0136] In some embodiments, further comprising:

[0137] A receiving module is used to receive the receiving characteristics returned by the receiving device for the target QoS data flow, wherein the transmission characteristics include the receiving characteristics.

[0138] In some embodiments, the target mapping relationship generating module 602 is specifically configured to generate a target mapping relationship corresponding to the target QoS data flow and the receiving characteristics.

[0139] In some embodiments, further comprising:

[0140] A parsing rule sending module, configured to send the parsing rule to the receiving device;

[0141] A feedback information receiving module, configured to receive feedback information returned by the receiving device in response to the parsing rule;

[0142] A parsing rule updating module is used to update the parsing rule according to the feedback information.

[0143] In some embodiments, the parsing rule and / or the feedback information is transmitted in an AI protocol data unit (PDU) via a radio resource control (RRC).

[0144] The data transmission device 600 of this embodiment can realize Figure 3 The various steps of the data transmission method embodiment shown can achieve basically the same technical effects and will not be repeated here.

[0145] An embodiment of the present invention further provides a data transmission control device, which is applied to a receiving device in a communication system.

[0146] like Figure 7 As shown, in one embodiment, the data transmission control device 700 includes:

[0147] The reflection mapping result acquisition module 701 is configured to acquire the reflection mapping result of the target QoS data flow to the DRB when receiving the target QoS data flow;

[0148] a reflection mapping result analysis module 702, configured to analyze the reflection mapping result by using parsing rules to obtain reception characteristics corresponding to the target QoS data flow, wherein the parsing rules are sent by the transmitting device to the receiving device;

[0149] The feedback information sending module 703 is configured to send feedback information regarding the parsing rule to the transmitting device, wherein the feedback information carries the receiving feature.

[0150] In some embodiments, the feedback information further carries a working status of the parsing rule, where the working status includes one or more of a working delay and a working accuracy rate.

[0151] The data transmission device 700 of this embodiment can realize Figure 5 The various steps of the data transmission method embodiment shown can achieve basically the same technical effects and will not be repeated here.

[0152] The embodiment of the present invention also provides an electronic device. Figure 8 , the electronic device may include a processor 801, a memory 802, and a program 8021 stored in the memory 802 and executable on the processor 801.

[0153] When the electronic device is a terminal, program 8021 can implement any steps in the above method embodiment and achieve the same beneficial effects when executed by processor 801, and will not be repeated here.

[0154] When the electronic device is a network side device, the program 8021 can be executed by the processor 801 to achieve Figure 8 Any steps in the corresponding method embodiments and achieving the same beneficial effects will not be repeated here.

[0155] Those skilled in the art will appreciate that all or part of the steps of implementing the above-described embodiment method may be accomplished through hardware associated with program instructions, and the program may be stored in a readable medium.

[0156] An embodiment of the present invention also provides a readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, any step in the above method embodiment can be implemented and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0157] The storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0158] The above is a preferred implementation of the embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles described in the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A data transmission control method, characterized in that: The method is applied to a transmitting device in a communication system, and comprises the following steps: parsing, by a service data adaptation protocol (SDAP) according to a parsing rule, transmission characteristics of a service data unit (SDU) carrying a target quality of service (QoS) data flow, wherein the target QoS data flow is sent after being mapped to a data radio bearer (DRB); Generate a target mapping relationship between the target QoS data flow and the DRB according to the parameter index of the target QoS data flow and the transmission characteristics; The parsing rules in the SDAP are updated according to the target mapping relationship.

2. The method according to claim 1, wherein The SDAP is provided with an AI module, and the SDAP analyzes the transmission characteristics according to the analysis rules through the AI ​​module.

3. The method according to claim 1, wherein The parameter indicator includes a QoS transmission requirement corresponding to the SDU, and generating a target mapping relationship for mapping the target QoS data flow to the DRB according to the parameter indicator of the target QoS data flow and the transmission characteristics includes: Obtaining a QoS transmission requirement of each of the multiple SDUs carrying the target QoS data flow; A target mapping relationship between the target QoS data flow and the sending characteristics is generated according to the QoS sending requirements corresponding to each of the SDUs, wherein the transmission characteristics include the sending characteristics.

4. The method according to claim 1, wherein The parameter indicators include QoS transmission requirements corresponding to QoS data flows; The generating, according to the parameter index of the target QoS data flow and the transmission characteristics, a target mapping relationship of mapping the target QoS data flow to the DRB includes: Obtaining a QoS sending requirement corresponding to the target QoS data flow; A target mapping relationship between the target QoS data flow and the transmission characteristics is generated according to the QoS transmission requirements corresponding to the target QoS data flow, wherein the transmission characteristics include the transmission characteristics.

5. The method according to claim 1, wherein Before parsing the transmission characteristics of the SDU carrying the target QoS data flow according to the parsing rules through SDAP, the method further includes: Receive the reception characteristics returned by the receiving device for the target QoS data flow, wherein the transmission characteristics include the reception characteristics.

6. The method according to claim 5, wherein The generating, according to the parameter index of the target QoS data flow and the transmission characteristics, a target mapping relationship of mapping the target QoS data flow to the DRB includes: Generate a target mapping relationship between the target QoS data flow and the receiving characteristics.

7. The method according to any one of claims 1 to 6, characterized in that After updating the parsing rules in the SDAP according to the target mapping relationship, the method further includes: Sending the parsing rules to a receiving device; receiving feedback information returned by the receiving device in response to the parsing rule; The parsing rules are updated according to the feedback information.

8. The method according to claim 7, wherein The parsing rule and / or the feedback information is transmitted in an AI protocol data unit (PDU) via a radio resource control (RRC).

9. A data transmission control method, characterized in that: Receiving equipment used in communication systems, The method comprises the following steps: Upon receiving a target QoS data flow, obtaining a reflective mapping result of the target QoS data flow to the DRB; Analyzing the reflection mapping result through a parsing rule to obtain a reception feature corresponding to the target QoS data flow, wherein the parsing rule is sent by the transmitting device to the receiving device; Feedback information regarding the parsing rule is sent to a transmitting device, wherein the feedback information carries the receiving feature.

10. The method according to claim 9, wherein The feedback information also carries the working status of the parsing rule, where the working status includes one or more of a working delay and a working accuracy rate.

11. A data transmission control device, characterized in that: A transmitting device used in a communication system, the device comprising: a transmission feature parsing module, configured to parse, through SDAP and in accordance with parsing rules, transmission features of an SDU carrying a target QoS data flow, wherein the target QoS data flow is sent after being mapped to a DRB; A target mapping relationship generating module, configured to generate a target mapping relationship mapping the target QoS data flow to the DRB according to the parameter indicators of the target QoS data flow and the transmission characteristics; An updating module is configured to update the parsing rules in the SDAP according to the target mapping relationship.

12. A data transmission control device, characterized in that: A receiving device used in a communication system, the device comprising: A reflection mapping result acquisition module, configured to, upon receiving a target QoS data flow, acquire a reflection mapping result from the target QoS data flow to the DRB; a reflection mapping result analysis module, configured to analyze the reflection mapping result by using an analysis rule to obtain a reception feature corresponding to the target QoS data flow, wherein the analysis rule is sent by the transmitting device to the receiving device; A feedback information sending module is used to send feedback information for the parsing rule to a transmitting device, wherein the feedback information carries the receiving feature.

13. An electronic device comprising: A memory, a processor, and a program stored in the memory and executable on the processor; wherein the processor is configured to read the program in the memory to implement the steps of the data transmission control method according to any one of claims 1 to 10.

14. A readable storage medium for storing a program, characterized in that: When the program is executed by a processor, the steps of the data transmission control method according to any one of claims 1 to 10 are implemented.

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