WO2022218347A1 - Système et procédé de communication, première entité fonctionnelle et support de stockage - Google Patents

Système et procédé de communication, première entité fonctionnelle et support de stockage Download PDF

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Publication number
WO2022218347A1
WO2022218347A1 PCT/CN2022/086635 CN2022086635W WO2022218347A1 WO 2022218347 A1 WO2022218347 A1 WO 2022218347A1 CN 2022086635 W CN2022086635 W CN 2022086635W WO 2022218347 A1 WO2022218347 A1 WO 2022218347A1
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function
digital twin
functional body
service object
terminal
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PCT/CN2022/086635
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English (en)
Chinese (zh)
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孙军帅
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中国移动通信有限公司研究院
中国移动通信集团有限公司
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Publication of WO2022218347A1 publication Critical patent/WO2022218347A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08—Configuration management of networks or network elements
    • H04L41/0803—Configuration setting
    • H04L41/0823—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/16—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence

Definitions

  • the present application relates to the field of wireless communication, and in particular, to a communication system, method, first functional body and storage medium.
  • the artificial intelligence (AI) technology is used in the form of plug-in AI.
  • the cost and interoperability of the way AI is used make it impossible to apply the use of AI technology to commercial networks; at the same time, the way AI is used cannot reflect the gains that AI technology brings to the network.
  • the embodiments of the present application provide a communication system, a method, a first functional body, and a storage medium.
  • Embodiments of the present application provide a communication system, including:
  • the first functional body includes a first AI functional body and/or a first digital twin functional body;
  • At least one second AI function and/or at least one second digital twin function one second AI function corresponds to at least one service object, and one second digital twin function corresponds to at least one service object;
  • the first AI function is configured to control at least one second AI function
  • the second AI function is configured to provide services for the service object
  • the first digital twin functional body is configured to control at least one second digital twin functional body
  • the second digital twin functional body is configured to provide services for the service object
  • the service object includes at least one of the following:
  • control of at least one second AI function includes at least one of the following:
  • the first AI function is further configured to perform at least one of the following operations:
  • control of at least one second digital twin function includes at least one of the following:
  • the first digital twin functional body is further configured to perform at least one of the following operations:
  • the second AI function is further configured to perform at least one of the following operations:
  • the second digital twin functional body is further configured to perform at least one of the following operations:
  • the first AI function is further configured to configure the second AI function of the terminal.
  • the first AI function is further configured to update the configuration of the second AI function of the terminal.
  • the first AI function is configured to the second AI function of the terminal based on the capability of the terminal.
  • the first digital twin function body is further configured to configure the second digital twin function body of the terminal.
  • the first digital twin function body is further configured to update the configuration of the second digital twin function body of the terminal.
  • the first digital twin functional body is configured to the second digital twin functional body of the terminal based on the capabilities of the terminal.
  • the first AI function is located at the AI layer of the first function
  • the first digital twin function is located at the digital twin layer of the first function
  • the second AI function is located at the AI layer of the service object, and the second digital twin function is located at the digital twin layer of the service object; wherein,
  • the digital twin layer is at the lower level of the AI layer.
  • the digital twin layer is located in the lower layer next to the AI layer.
  • An embodiment of the present application further provides a communication method, which is applied to a first functional body, where the first functional body includes a first AI functional body and/or a first digital twin functional body, and the method includes:
  • the first AI function controls at least one second AI function to provide services for the service object; and/or the first digital twin function controls at least one second digital twin function to provide services for the service object; wherein,
  • a second AI function corresponds to at least one service object, and a second digital twin function corresponds to at least one service object;
  • the service object includes at least one of the following:
  • the method includes at least one of the following:
  • the method also includes:
  • the first AI function performs at least one of the following operations:
  • the method includes at least one of the following:
  • the method also includes at least one of the following:
  • the method also includes:
  • the first AI function is configured to the second AI function of the terminal.
  • the method also includes:
  • the first digital twin functional body is configured to the second digital twin functional body of the terminal.
  • Embodiments of the present application further provide a first functional body, including: a processor and a first memory configured to store a computer program that can be executed on the processor,
  • the first processor is configured to execute the steps of any of the above methods when running the computer program.
  • the embodiments of the present application further provide a storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of any of the foregoing methods are implemented.
  • the first function includes a first AI function and/or a first digital twin function; wherein, one second AI function corresponds to at least one Service object, a second digital twin function body corresponds to at least one service object; the second AI function body provides services for the service object under the control of the first AI function body; the second digital twin function body is in the Under the control of the first digital twin function body, the service object is provided with services; the service object includes at least one of the following: a core network; an access network; a transmission network; and a terminal.
  • the solution provided by the embodiments of this application introduces a distributed AI system and/or a distributed digital twin system, so that AI and digital twin functions are integrated with the core network, transmission network, access network, and terminal, thereby realizing endogenous intelligence and digital Twin network, thereby improving the gain brought by AI technology to the network.
  • FIG. 1 is a schematic structural diagram of a communication system according to an embodiment of the present application.
  • FIG. 2 is a schematic diagram of a distributed intelligence endogenous and digital twin network architecture according to an application embodiment of the present application
  • FIG. 3 is a schematic diagram of distributed intelligence endogenous and digital twin network functions and control according to an application embodiment of the present application
  • FIG. 4 is a schematic flowchart of the configuration process of the digital twin layer function on the terminal side according to the application embodiment of the present application;
  • FIG. 5 is a schematic flowchart of the configuration process of the AI layer function on the terminal side according to the application embodiment of the present application;
  • FIG. 6 is a schematic structural diagram of a first functional body according to an embodiment of the present application.
  • AI technology is plug-in AI, that is, through the network side (base station, core network) and terminal side to report various information required for AI processing to AI function nodes, so as to achieve AI-related processing is run outside the network element; that is, the AI function nodes outside the network element perform data collection, processing, AI model training, and send the results of AI operation or the generated policy (which can be expressed as policy in English) into the network, so there are the following insurmountable challenges:
  • the sixth-generation mobile communication technology (6G) network is a network of endogenous intelligence (which can be expressed as Native AI in English).
  • AI is no longer just the optimization of wireless resources of the wireless network, but an intelligent system integrated with the core network, transmission network and wireless access network (it can be expressed as AI System in English).
  • the 6G network needs to support services of multiple application scenarios, and the smart 6G network can meet the above requirements.
  • the digital twin (English can be expressed as Digital Twin, referred to as DT) system provides the basic operating environment for the endogenous intelligence of 6G, which provides basic support for AI-related processing and computing, and simplifies the physical network operation load and the complexity. That is to say, the 6G digital twin system and the endogenous intelligence system together form a series of online operations for the operation, maintenance, and application-oriented control computing of the physical network, and become the brain of the physical network, commanding each part of the physical network to complete the protocol. Or the service capability required by the operator.
  • 6G digital twin system and the endogenous intelligence system together form a series of online operations for the operation, maintenance, and application-oriented control computing of the physical network, and become the brain of the physical network, commanding each part of the physical network to complete the protocol. Or the service capability required by the operator.
  • a distributed AI system and/or a distributed digital twin system are introduced to integrate AI and digital twin functions with the core network, transmission network, access network, and terminals.
  • An embodiment of the present application provides a communication system, as shown in FIG. 1 , the system includes:
  • the first functional body 101 includes a first AI functional body 1011 and/or a first digital twin functional body 1012;
  • At least one second AI function 102 and/or at least one second digital twin function 103 one second AI function 102 corresponds to at least one service object, and one second digital twin function 103 corresponds to at least one service object;
  • the first AI function 1011 is configured to control at least one second AI function 102;
  • the second AI function 102 is configured to provide services for the service object
  • the first digital twin functional body 1012 is configured to control at least one second digital twin functional body 103;
  • the second digital twin function 103 is configured to provide services for the service object
  • the service object includes at least one of the following:
  • the service object may also be called an object, which is not limited in this embodiment of the present application.
  • the service object refers to a functional body in the network.
  • the second AI function 102 may provide services for the service object under the control of the first AI function 1011 or the second AI function 102 independently provides services for the service object.
  • the second digital twin function 103 may specifically provide services for the service object under the control of the first digital twin function 1012 or the second digital twin function 103 independently provides services for the service object.
  • the transmission network may be configured to connect the access network and the core network, or to connect the internal network elements of the core network or a function in the transmission network.
  • both the endogenous intelligence system and the endogenous digital twin system provided by the embodiments of the present application are distributed;
  • the processing center namely the first AI function 1101) and the AI function distributed to each service object (ie the second AI function 102), therefore, the network in this embodiment of the present application is a distributed intelligent endogenous network;
  • the endogenous digital twin system includes a centralized digital twin function processing center (also referred to as a digital twin processing center, that is, the first digital twin function 1102 ), and distributed digital twin functions distributed to each service object. (that is, the second digital twin function 103), therefore, the network in this embodiment of the present application is a distributed endogenous digital twin network.
  • the AI processing center and the distributed AI functions are an organic whole.
  • the first AI function 1011 is configured to perform at least one of the following operations on the second AI function 102:
  • the second AI function 102 is deployed.
  • controlling at least one second AI function 102 includes at least one of the following:
  • the second AI function 102 is deployed.
  • the arranging the second AI function 102 may include at least one of the following:
  • the managing second AI function 102 may include at least one of the following:
  • Initialize the second AI function 102 including initial selection or customization of the AI algorithm, etc.
  • the second AI function 102 reports measurement management, including: running state measurement reporting, enabling or disabling measurement reporting or modifying the reporting method, subscription of measurement reporting content, and the like.
  • the deploying the second AI function 102 may include: making an overall plan for the AI function between different or the same second AI function 102, for example, including the cooperation requirements between different second AI functions 102, the same first AI function 102. Two AI function definitions of the AI function 102, etc., and then perform subsequent operations through management and/or orchestration.
  • the first AI function 1011 is further configured to perform at least one of the following operations:
  • the length of the first time period can be determined as required.
  • the first AI function 1011 may control the second AI function 102 based on information (ie, measurement information) reported by the second AI function 102 .
  • the second AI function 102 is further configured to perform at least one of the following operations:
  • the centralized AI function processing center is mainly responsible for:
  • the AI function processing center also needs to support other functional requirements on the centralized platform (ie, the first function body 101 ).
  • the distributed AI functions are mainly responsible for:
  • the AI function for the needs of the service object can be executed within the third time period or the AI function for the needs of the service object is executed every third time period;
  • the zero-measurement reporting refers to: there is no need to report the communication-related functions running on the service object, such as the Packet Data Convergence Protocol (PDCP) function, the Radio Resource Control (RRC) function, or the Radio Link Control (RLC) function. ) function body and other measurement information are reported, but the information processed by the AI function is sent to the AI function processing center.
  • PDCP Packet Data Convergence Protocol
  • RRC Radio Resource Control
  • RLC Radio Link Control
  • the centralized digital twin function processing center and the distributed digital twin function body are an organic whole.
  • the first digital twin functionality 1012 is configured to perform at least one of the following operations on the second digital twin functionality 103:
  • the second digital twin functionality 103 is deployed.
  • controlling at least one second digital twin function 103 includes at least one of the following:
  • the second digital twin functionality 103 is deployed.
  • the orchestration of the second digital twin function 103 may include at least one of the following:
  • the managing second digital twin function 103 may include at least one of the following:
  • the second digital twin functional body 103 reports measurement management, including: running state measurement reporting, enabling or disabling of measurement reporting or modification of reporting methods, subscription of measurement reporting content, and the like.
  • the deploying the second digital twin functional body 103 may include: formulating an overall scheme of digital twin functions between different or identical second digital twin functional bodies 103 , for example, including collaboration requirements between different second digital twin functional bodies 103 , the digital twin function definition of the same second digital twin function body 103, etc., and then perform subsequent operations through management and/or orchestration.
  • the first digital twin function 1012 is further configured to perform at least one of the following operations:
  • the first digital twin function 1012 may control the second digital twin function 103 based on the information (ie measurement information) reported by the second digital twin function 103 .
  • the centralized digital twin function processing center is mainly responsible for:
  • the zero-measurement reporting refers to: instead of reporting the measurement information of the communication-related functions running on the service object, the information processed by the digital twin function is sent to the digital twin function processing center.
  • the distributed digital twin function is mainly responsible for:
  • the above-mentioned digital twin system can run synchronously with the above-mentioned AI system, and the digital twin system and AI system can be deployed synchronously to realize zero measurement and reporting of core network, transmission network, access network or its internal functions, that is, through AI and AI systems.
  • a digital twin system that enables zero measurement in and/or out of the network.
  • the core network, the transmission network, the access network, the terminal, etc. are referred to as functional entities, and some functions within these functional entities may also be referred to as functional entities.
  • the first function 101 may be located on the network side
  • the second AI function 102 and the second digital twin function 103 are distributed on each function
  • the first AI function 1011 controls the distributed second AI function body 102
  • the first digital twin functional body 1012 controls the distributed second digital twin functional body 103.
  • a service object when the service object includes the core network, a service object may specifically be one or several network elements of the core network, or may be some functions within a certain network element.
  • the service object when the service object includes an access network, the service object may specifically be a base station, such as an eNB, or a gNB, etc., or may be some functions within the base station.
  • the service object when the service object includes a transmission network, the service object may specifically be a certain transmission node (such as a router) or several transmission nodes of the transmission network, or may be some functions within a certain transmission node.
  • the distributed intelligent endogenous and digital twin network provided by the embodiment of the present application is an end-to-end network, including both the network side and the terminal side.
  • An interface exists between the first functional body 101 , the second AI functional body 102 and the second digital twin functional body 103 , such as an application programming interface (API) and the like.
  • the first function 101 interacts with the second AI function 102 and the second digital twin function 103 through an interface.
  • the AI and digital twin on the terminal side can be configured through the wireless air interface, that is, the configuration information is carried through the established wireless connection.
  • the configuration information is sent on the Physical Downlink Shared Channel (PDSCH) channel, and the format may adopt the format of the MAC Protocol Data Unit (PDU).
  • PDSCH Physical Downlink Shared Channel
  • PDU MAC Protocol Data Unit
  • the first AI function 1011 is further configured to configure the second AI function 102 of the terminal.
  • the first AI function 1011 may configure the second AI function 102 of the terminal based on the capability of the terminal.
  • the first AI function 1011 may also update the configuration of the second AI function 102 of the terminal.
  • the configuration and configuration update may be performed to the second AI function 102 of the terminal through the air interface.
  • the first digital twin function 1012 is further configured to configure the second digital twin function 103 of the terminal.
  • the first digital twin function 1012 may be configured to the second digital twin function of the terminal based on the capabilities of the terminal.
  • the first digital twin function 1012 may also update the configuration of the second digital twin function 103 of the terminal.
  • the first digital twin function 1012 can perform configuration and configuration update to the second digital twin function 103 of the terminal through the air interface.
  • the first functional body 101 may be called a processing center, a control center, or a management center, which is not limited in this embodiment of the present application, as long as its functions are implemented.
  • the first functional body 101 may be set on an operation maintenance management (OAM) device (also referred to as an OAM system).
  • OAM operation maintenance management
  • the first AI function 1011 is located at the AI layer of the first function 101, and the first digital twin function 1012 is located at the digital twin layer of the first function 101;
  • the second AI function 102 is located at the AI layer of the service object, and the second digital twin function 103 is located at the digital twin layer of the service object;
  • the digital twin layer is at the lower level of the AI layer.
  • the digital twin layer is at the lower layer of the AI layer, that is to say, the AI layer is at the upper layer of the digital twin layer, and the two functional layers can be the next upper and lower layers, that is, the digital twin layer can be at the lower layer next to the AI layer. , the two functional layers may not be adjacent.
  • the communication system includes a first function 101 and at least one second AI function 102 and/or at least one second digital twin function 103;
  • the first function 101 includes a first AI function 1011 and /or the first digital twin function 1012; wherein, a second AI function 102 corresponds to at least one service object, and a second digital twin function 103 corresponds to at least one service object;
  • the second AI function 102 is in the
  • the first AI function 1011 provides services for the service object under the control of the first AI function 1011;
  • the second digital twin function 103 provides services for the service object under the control of the first digital twin function 1012;
  • the service object includes at least the following: One: core network; access network; transmission network; terminal.
  • the solution provided by the embodiments of this application introduces a distributed AI system and/or a distributed digital twin system, so that AI and digital twin functions are integrated with the core network, transmission network, access network, and terminal, thereby realizing endogenous intelligence and digital Twin network, thereby improving the gain brought by AI technology to the network.
  • an embodiment of the present application also provides a communication method, which is applied to a first functional body, where the first functional body includes a first AI functional body and/or a first digital twin functional body, and the method includes:
  • the first AI function controls at least one second AI function to provide services for the service object; and/or the first digital twin function controls at least one second digital twin function to provide services for the service object; wherein,
  • a second AI function corresponds to at least one service object, and a second digital twin function corresponds to at least one service object;
  • the service object includes at least one of the following:
  • the method when the first AI function controls at least one second AI function to provide services for the service object, the method includes at least one of the following:
  • the method may further include:
  • the first AI function performs at least one of the following operations:
  • the method when the first digital twin function controls at least one second digital twin function to provide services for the service object, the method includes at least one of the following:
  • the method may further include at least one of the following:
  • the method may further include:
  • the first AI function is configured to the second AI function of the terminal.
  • the method may further include:
  • the first digital twin functional body is configured to the second digital twin functional body of the terminal.
  • the AI function body and the digital twin function body are respectively introduced into the protocol stack functions introduced in the OAM system, core network, transmission network, access network, terminal and other systems.
  • the AI functions can interact with each other in the form of AI functions, and realize the distributed AI functions according to the driven objects (such as core network, transmission network, access network, terminal and other functional bodies, as well as a specific network function of these functional bodies (such as access and Mobility management function (AMF), media access control (MAC) and other protocol functions))), select targeted AI algorithms to achieve AI-driven smart networks.
  • the driven objects such as core network, transmission network, access network, terminal and other functional bodies, as well as a specific network function of these functional bodies (such as access and Mobility management function (AMF), media access control (MAC) and other protocol functions)
  • AMF access and Mobility management function
  • MAC media access control
  • the distributed intelligent endogenous and digital twin network solution provided by this application embodiment is an end-to-end solution, including a network side and a terminal side.
  • Figure 2 shows the distributed intelligence endogenous and digital twin network architecture.
  • the network architecture includes: a center (expressed as center in English), a core network, a transmission network, a base station (BS), and a user equipment (UE); wherein,
  • the center includes a centralized AI function processing center and a digital twin function processing center.
  • the centralized AI and digital twin function processing center runs on a cloud platform (can be expressed as Cloud Platform in English);
  • the AI function (can be called CN-AI) and the digital twin function (can be called CN-DT) run on the cloud platform;
  • the AI function (which can be called TN-AI) and the digital twin function (which can be called TN-DT) run on the cloud platform;
  • the AI function (can be called BS-AI) and the digital twin function (can be called BS-DT) run on the cloud platform, and support different functions such as the physical layer through the accelerator (Accelerator).
  • the AI function (which can be called UE-AI) and the digital twin function run on the terminal device where the software and hardware are separated (minimized cloud platform), the AI function and the digital twin function (which can be called UE-AI) DT) runs on the cloud platform, and realizes the configuration, operation and deployment of AI functions and digital twin functions under the configuration of the network side.
  • the above system runs on a cloud platform, thereby realizing the integration of computing and storage through the cloud platform.
  • the configuration on the UE side by the network side is configured through the wireless air interface, and the bearer is carried out through the established wireless connection. For example, it is sent on the PDSCH channel in the format of MAC PDU.
  • the centralized AI function processing center and digital twin function processing center can be set on the OAM system.
  • the control of AI and digital twin is end-to-end control.
  • the processing center on the network side not only controls the AI and digital twin functions on the network side itself.
  • the digital twin function also controls the AI and digital twin functions on the terminal side through the air interface, including the configuration of algorithm parameters and AI models; the terminal reports algorithm operation parameters or measurement parameters to the network side.
  • AI layers which can be expressed as AI Layers in English
  • digital twin layers which can be expressed as DT Layers in English
  • UE OAM system
  • core network e.g., OAM system
  • transmission network e.g., BS
  • BS Cloud RCP, Cloud Radio Controlling Platform
  • RAP Lite AI Radio Access Point
  • the digital twin layer is at the lower level of the AI layer
  • the AI layer is at the upper layer of the digital twin layer. Not adjacent.
  • an access stratum (AS, Access Stratum) and a non-access stratum (NAS, Non Access Stratum), and various applications (All kinds of Applications) are run.
  • AS Access Stratum
  • NAS Non Access Stratum
  • various applications All kinds of Applications
  • For the OAM system run the functions of network management and maintenance, open AI applications, maintenance and management functions of UE-side AI and digital twin functions, etc.
  • For the core network the defined core network functions, such as AMF, Session Management Function (SMF), User Plane Function (UPF), etc., are run.
  • functions such as bandwidth allocation (Bandwidth Allocation), data flow control (Data Flow Controlling), and QoS of Transport Link are performed.
  • the protocol functions of Layer 1 (L1), Layer 2 (L2), and Layer 3 (L3) are run.
  • the digital twin layer provides data processing services, online simulation model training services, and online simulation AI function services for the AI layer.
  • the AI layer proposes operational data requirements, AI model training requirements, and AI model operation result feedback information to the digital twin layer.
  • the AI layer provides various AI-driven services to the upper layer, including AI analysis and flow control on the data plane, AI prediction on the control plane, dynamic modification of AI-driven mapping relationships, AI Driven resource allocation, etc.
  • the network side (that is, the processing center) needs to configure the AI layer and digital twin layer functions on the terminal side.
  • the configuration process of the digital twin layer function on the terminal side includes the following steps:
  • Step 400 The UE has been connected to the network, that is, the UE is in the radio resource control connected (RRC_Connected) state, and then step 401 is performed;
  • RRC_Connected radio resource control connected
  • Step 401 The digital twin function on the UE side initiates a registration request (ie, DT Registration Request) to the function on the network side (ie, the OAM side);
  • the registration request carries the capabilities of the UE, which may specifically include: the type of the UE (such as a common terminal, an Internet of Things terminal, a vertical industry terminal, an automotive terminal, or an aircraft terminal, etc.), and the UE needs a model of the data service provided by the network ( digital abstract feature), the UE computing capability model and storage capability model, the UE wireless communication capability model (including protocol-defined UE capability, UE radio frequency capability, L1, L2, L3 protocol version numbers), the UE power supply model and air interface Transceiver power model (for example: constant power supply, battery capacity, maximum receive and transmit power of the air interface, etc.), etc.
  • the type of the UE such as a common terminal, an Internet of Things terminal, a vertical industry terminal, an automotive terminal, or an aircraft terminal, etc.
  • the UE needs a model of the data service provided by the network ( digital abstract feature), the UE computing capability model and storage capability model, the UE wireless communication capability model (including protocol-defined UE capability, UE radio frequency capability, L
  • Step 402 The network side performs a registration response (ie DT Registration Response) for registration;
  • the network side After receiving the above-mentioned capability information (also referred to as DT information), the network side registers and activates the digital twin software body of the UE, and sends a registration response.
  • the network side After receiving the above-mentioned capability information (also referred to as DT information), the network side registers and activates the digital twin software body of the UE, and sends a registration response.
  • the registration response carries an indication of the success or failure of the registration of the UE, the update of the data processing algorithm of the online simulation available to the UE, and the like.
  • Steps 401 to 402 may be referred to as an initial handshake (expressed as Initial shaking hands in English) process.
  • Step 403 The UE or the network side initiates a digital twin update
  • the UE or the network side will initiate a digital twin update.
  • Step 404 The network or the terminal responds to the reconfiguration.
  • steps 403 to 404 update the model of the operation process of the digital twin function, perform interaction or information synchronization for one or more functional online simulation results, or configure relevant algorithms or algorithm parameters, or report various operation measurement information, etc. .
  • the configuration process of the AI layer function on the terminal side includes the following steps:
  • Step 500 The UE has been connected to the network, that is, the UE is in the RRC_Connected state;
  • Step 501 The AI function on the UE side initiates a registration request (ie, AI Registration Request) to the OAM system on the network side (ie, the centralized AI function processing center);
  • a registration request ie, AI Registration Request
  • the OAM system on the network side ie, the centralized AI function processing center
  • the registration request carries the capabilities of the UE, including the types or sets of AI models that the UE can support, the algorithm type identifier, the computing capabilities of the AI (such as data scale), and the computing load requirements that require AI provided by the network side (such as , 100 iterations of the algorithm, the UE needs the network to provide the results after 80 iterations of the calculation, or the UE to provide the results of the 20 iterations of the calculation to the network side) and so on.
  • the capabilities of the UE including the types or sets of AI models that the UE can support, the algorithm type identifier, the computing capabilities of the AI (such as data scale), and the computing load requirements that require AI provided by the network side (such as , 100 iterations of the algorithm, the UE needs the network to provide the results after 80 iterations of the calculation, or the UE to provide the results of the 20 iterations of the calculation to the network side) and so on.
  • Step 502 The network side establishes the AI function of the UE in the OAM system, core network, RCP, RAP, etc.;
  • Step 503 The network side performs a registration response (ie AI Registration Response) for the registration;
  • the network side After receiving the above-mentioned capability information (also referred to as AI information), the network side registers and activates the UE's AI function body on the UE's digital twin software body, according to the UE's request and in combination with the AI supported by the network side itself Algorithms or models, configure the available AI models or algorithm sets for the UE, and configure the interface type configuration for passing parameters for separating (sharing the computing load) between different algorithms.
  • AI information also referred to as AI information
  • the network side registers and activates the UE's AI function body on the UE's digital twin software body, according to the UE's request and in combination with the AI supported by the network side itself Algorithms or models, configure the available AI models or algorithm sets for the UE, and configure the interface type configuration for passing parameters for separating (sharing the computing load) between different algorithms.
  • Steps 501 to 503 may be referred to as an initial handshake process.
  • Step 504 The UE or each functional unit of the network initiates an AI function update
  • the service model changes, the corresponding AI model needs to be changed.
  • the physical channel has changed, and the model needs to be changed.
  • the total number of network users has increased a lot, and the AI calculation undertaken by each UE has decreased, which needs to be changed.
  • Step 505 The network or the UE performs a reconfiguration response.
  • the parameters, algorithms or models of the AI function operation process are updated, etc.
  • the network side establishes the AI function body of the UE in the OAM system, core network, RCP, RAP, etc., so as to realize the update of the AI function.
  • the AI layer of the OAM system interacts with the AI layers of other functional bodies through interfaces (than API); the digital twin layer of the OAM system interacts with the digital twin layers of other functional bodies through interfaces (such as APIs).
  • the digital twin layer of the OAM system interacts with the digital twin layer on the terminal side through the air interface (shown by the dotted line in Figure 3, indicating that it is through the air interface); the AI layer of the OAM system interacts with the AI layer on the terminal side through the air interface.
  • the terminal can apply for differentiated AI and digital twin functions from the network side as needed.
  • the embodiments of the present application further provide a first functional body.
  • the first functional body 600 includes:
  • the processor 602 is connected to the communication interface 601 to realize information interaction with the second AI function and/or the second digital twin function, and is configured to execute one or more functions on the side of the first function when running a computer program.
  • the method provided by a technical solution;
  • bus system 604 is configured to enable connection communication between these components.
  • bus system 604 also includes a power bus, a control bus and a status signal bus.
  • the various buses are labeled as bus system 604 in FIG. 6 .
  • the memory 603 in the embodiment of the present application is configured to store various types of data to support the operation of the first functional body 600 .
  • Examples of these data include: any computer program for operating on the first functional body 600 .
  • the methods disclosed in the above embodiments of the present application may be applied to the processor 602 or implemented by the processor 602 .
  • the processor 602 may be an integrated circuit chip with signal processing capability. In the implementation process, each step of the above-mentioned method may be completed by an integrated logic circuit of hardware in the processor 602 or an instruction in the form of software.
  • the above-mentioned processor 602 may be a general-purpose processor, a digital signal processor (DSP, Digital Signal Processor), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like.
  • the processor 602 may implement or execute the methods, steps, and logical block diagrams disclosed in the embodiments of this application.
  • a general purpose processor may be a microprocessor or any conventional processor or the like.
  • the steps of the method disclosed in the embodiments of the present application can be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor.
  • the software module may be located in a storage medium, and the storage medium is located in the memory 603, and the processor 602 reads the information in the memory 603, and completes the steps of the foregoing method in combination with its hardware.
  • the first functional body 600 may be implemented by one or more Application Specific Integrated Circuit (ASIC, Application Specific Integrated Circuit), DSP, Programmable Logic Device (PLD, Programmable Logic Device), Complex Programmable Logic Device (CPLD, Complex Programmable Logic Device), Field Programmable Gate Array (FPGA, Field-Programmable Gate Array), General Purpose Processor, Controller, Micro Controller (MCU, Micro Controller Unit), Microprocessor (Microprocessor), or Other electronic components are implemented, configured to perform the aforementioned method.
  • ASIC Application Specific Integrated Circuit
  • DSP Programmable Logic Device
  • PLD Programmable Logic Device
  • CPLD Complex Programmable Logic Device
  • FPGA Field Programmable Gate Array
  • General Purpose Processor Controller
  • MCU Micro Controller
  • Micro Controller Unit Micro Controller Unit
  • Microprocessor Microprocessor
  • the memory 603 in this embodiment of the present application may be a volatile memory or a non-volatile memory, and may also include both volatile and non-volatile memory.
  • the non-volatile memory can be a read-only memory (ROM, Read Only Memory), a programmable read-only memory (PROM, Programmable Read-Only Memory), an erasable programmable read-only memory (EPROM, Erasable Programmable Read-only memory) Only Memory), Electrically Erasable Programmable Read-Only Memory (EEPROM, Electrically Erasable Programmable Read-Only Memory), Magnetic Random Access Memory (FRAM, ferromagnetic random access memory), Flash Memory (Flash Memory), Magnetic Surface Memory , CD-ROM, or CD-ROM (Compact Disc Read-Only Memory); magnetic surface memory can be disk memory or tape memory.
  • RAM Random Access Memory
  • SRAM Static Random Access Memory
  • SSRAM Synchronous Static Random Access Memory
  • DRAM Dynamic Random Access Memory
  • SDRAM Synchronous Dynamic Random Access Memory
  • DDRSDRAM Double Data Rate Synchronous Dynamic Random Access Memory
  • ESDRAM Double Data Rate Synchronous Dynamic Random Access Memory
  • ESDRAM Enhanced Type Synchronous Dynamic Random Access Memory
  • SLDRAM Synchronous Link Dynamic Random Access Memory
  • DRRAM Direct Rambus Random Access Memory
  • DRRAM Direct Rambus Random Access Memory
  • an embodiment of the present application further provides a storage medium, that is, a computer storage medium, specifically a computer-readable storage medium, for example, including a memory 603 for storing a computer program, and the above-mentioned computer program can be stored by the first functional body 600
  • the processor 602 executes the steps of the first functional body-side method described above.
  • the computer-readable storage medium may be memory such as FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface memory, optical disk, or CD-ROM.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

Sont divulgués dans la présente demande un système et un procédé de communication, une première entité fonctionnelle et un support de stockage. Le système de communication comporte : une première entité fonctionnelle (101), la première entité fonctionnelle (101) comprenant une première entité fonctionnelle AI (1011) et/ou une première entité fonctionnelle de jumeau numérique (1012) ; et au moins une seconde entité fonctionnelle AI (102) et/ou au moins une seconde entité fonctionnelle de jumeau numérique (103), une seconde entité fonctionnelle AI (102) correspondant au moins à un objet de service, et une seconde entité fonctionnelle de jumeau numérique (103) correspondant au moins à un objet de service. La première entité fonctionnelle AI (1011) est configurée pour commander la ou les secondes entités fonctionnelles AI (102) ; la seconde entité fonctionnelle AI (102) est configurée afin de fournir un service pour l'objet de service ; la première entité fonctionnelle de jumeau numérique (1012) est configurée pour commander la ou les secondes entités fonctionnelles de jumeau numérique (103) ; la seconde entité fonctionnelle de jumeau numérique (103) est configurée afin de fournir un service pour l'objet de service ; et l'objet de service comprend au moins l'un des éléments suivants : un réseau d'infrastructure, un réseau d'accès, un réseau de transmission et un terminal.
PCT/CN2022/086635 2021-04-15 2022-04-13 Système et procédé de communication, première entité fonctionnelle et support de stockage WO2022218347A1 (fr)

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WO2024207497A1 (fr) * 2023-04-07 2024-10-10 北京小米移动软件有限公司 Procédé de communication, appareil et support de stockage
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