CN115884323A - Data transmission method, system, electronic device and readable medium - Google Patents
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Abstract
The disclosed embodiment provides a data transmission method, a system, an electronic device and a readable medium, which are applied to a base station, wherein the base station comprises a centralized management entity and a separated management entity, and the method comprises the following steps: the centralized management entity receives first indication information; the centralized management entity sends an energy-saving function establishing instruction to the separation management entity according to the first indication information and establishes a data plane function interface with the separation management entity; the separation management entity receives the measurement information sent by the terminal according to the energy-saving function establishment instruction; the separation management entity generates measurement index information according to the measurement information and sends the measurement index information to the centralized management entity through the data plane functional interface; and the centralized management entity obtains the prediction index information of the terminal according to the measurement index information, and sends an energy-saving strategy to the separated management entity according to the prediction index information. The technical scheme provided by the embodiment of the disclosure can realize the maximum energy-saving benefit of the network on the premise of ensuring the service quality of the user.
Description
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a data transmission method, a data transmission system, an electronic device, and a computer-readable medium.
Background
In the 5G era, a Base station indoor Base Band Unit (BBU) is split into a Centralized management entity (CU) and a Distributed management entity (DU), and the CU integrates a part of functions sinking from a core network and is responsible for processing a Packet Data Convergence Protocol (PDCP) layer and a Radio Resource Control (RRC) layer which have low real-time requirements; originally, a physical bottom layer in the BBU sinks into an Active Antenna Unit (AAU) for processing, and a physical top layer, a Media Access Control (MAC) layer, and a Radio Link Control (RLC) layer, which have higher requirements for real-time performance, are processed in a DU, as shown in fig. 1. CU/DU separation architecture base stations may bring the following benefits: the sharing of baseband resources is realized, the slicing and the clouding of wireless access are facilitated, and the problem of site cooperation under the condition of 5G complex networking is solved.
The F1 interface is used for signaling interaction and data transmission of the centralized management entity and the separate management entity of the wireless network base station, as shown in fig. 2. The F1 interface supports separation of the control plane (F1-C in fig. 2) and user plane (F1-U in fig. 2), radio network layer and transport network, and interaction of User Equipment (UE) associated information and non-UE associated information. In order to meet new services and functions, one base station (gNB) centralized management entity (gNB-CU) and a set of base station split management entities (gNB-DUs) are visible to other logical nodes, and the gNB-CU can be split in the Control Plane (CP) and the User Plane (UP). The F1 interface is also beneficial to interconnection between a centralized control entity and a separated control entity provided by different manufacturers.
When the CU/DU separation architecture is adopted for deployment, the current architecture still has the following problems for supporting the AI algorithm:
1. the centralized management entity of the base station cannot obtain the granularity information of the Physical layer at the side of the separation management entity, such as Physical Resource Block (PRB) information and channel conditions. In the current F1 interface, the separation management entity (i.e. the separation management entity) does not report any statistical PRB information, so the centralized management entity does not know the PRB occupancy of one or a group of users in the serving cell of the separation management entity side, does not know the corresponding radio channel condition, and can only know the transmission rate of the PDCP layer. Therefore, the resource occupation of the user in the serving cell of another separate management node cannot be estimated.
2. There is no interface for AI data transfer: at present, an F1-C interface is mainly used for transmitting control signaling, but the interaction process among AI modules is very frequent, so that the transmission of AI training information through the F1-C interface is not suitable; F1-U is the user plane data for per UE, and the conditions for data training and information interaction for AI for a group of users and users not yet established in the cell cannot be met.
Therefore, a new data transmission method, system, electronic device, and computer readable medium are needed.
The above information disclosed in this background section is only for enhancement of understanding of the background of the disclosure.
Disclosure of Invention
Embodiments of the present disclosure provide a data transmission method, system, electronic device and computer-readable medium, which may avoid one or more of the above disadvantages at least to some extent.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.
According to a first aspect of the embodiments of the present disclosure, a data transmission method is provided, which is applied to a base station, where the base station includes a centralized management entity and a separate management entity, and the method includes: the centralized management entity receives first indication information; the centralized management entity sends an energy-saving function establishment instruction to the separation management entity according to the first indication information, and establishes a data plane function interface with the separation management entity; the separation management entity receives the measurement information sent by the terminal according to the energy-saving function establishment instruction; the separation management entity generates measurement index information according to the measurement information and sends the measurement index information to the centralized management entity through the data plane functional interface; and the centralized management entity obtains the prediction index information of the terminal according to the measurement index information so as to send an energy-saving strategy to the separated management entity according to the prediction index information.
In an exemplary embodiment of the present disclosure, the first indication information includes a use case model name, a list of available algorithms; wherein, the centralized management entity sends an energy-saving function establishment instruction to the separation management entity according to the first indication information, and establishes a data plane functional interface with the separation management entity, including: the centralized management entity determines a use case model list and an alternative algorithm list supported by the use case model list according to the use case model name, the available algorithm list and a local alternative model; the centralized management entity determines a data acquisition period; and the centralized management entity generates the energy-saving function establishment instruction according to the use case model list, the alternative algorithm list and the data acquisition period and sends the energy-saving function establishment instruction to the separated management entity.
In an exemplary embodiment of the present disclosure, the sending, by the centralized management entity, an energy saving function establishment instruction to the separation management entity according to the first indication information, and establishing a data plane function interface with the separation management entity further includes: the centralized management entity receives an energy-saving function establishment confirmation message returned by the separated management entity; the energy-saving function establishment confirmation message comprises IP address information and port information of a separation management entity of the data plane function interface, a target use case model determined by the separation management entity according to the use case model list and a separation management entity algorithm determined according to the alternative algorithm list.
In an exemplary embodiment of the present disclosure, the sending, by the centralized management entity, an energy saving function establishment instruction to the separation management entity according to the first indication information, and establishing a data plane function interface with the separation management entity further includes:
if the centralized management entity receives a building failure message returned by the separation management entity according to the energy-saving function building instruction, the centralized management entity adjusts the energy-saving function building instruction according to a failure reason in the building failure message; sending the adjusted energy-saving function establishment instruction to the separation management entity according to the waiting reinitiation time in the establishment failure message, and establishing the data plane function interface with the separation management entity; the failure reason comprises one or more of use case model list non-support, alternative algorithm list non-support, wireless network layer reason, transmission layer reason and protocol reason.
In an exemplary embodiment of the present disclosure, the first indication information further includes a feature input variable list, an evaluation variable list, and historical training data; wherein, the obtaining, by the centralized management entity, the prediction index information of the terminal according to the measurement index information includes: the centralized management entity adjusts parameters of the target case model according to the historical training data to obtain a trained target case model; the centralized management entity sends a model deployment message to the separation management entity according to the trained target use case model, wherein the model deployment message comprises the trained target use case model and priority information of a separation management entity algorithm corresponding to the target use case model; the separation management entity returns a model deployment success confirmation message to the centralized management entity according to the model deployment message, wherein the model deployment success confirmation message comprises a target separation management entity algorithm determined in a separation management entity algorithm according to the priority information; the separation management entity processes the measurement information through a target separation management entity algorithm to obtain the measurement index information and sends the measurement index information to the centralized management entity; the centralized management entity determines characteristic input data corresponding to the characteristic input variable list according to the measurement index information; and the centralized management entity processes the characteristic input data according to the trained target case model to obtain the prediction index information corresponding to the evaluation variable list.
In an exemplary embodiment of the disclosure, the list of feature input variables includes one or more of the following: performance measurement parameters, MDT measurement information and quality of experience parameters; when the characteristic input variable list comprises performance measurement parameters, the performance measurement parameters comprise one or more of base station current, voltage, energy consumption, temperature, humidity, cell PDCP data volume, PDU session number, PRB utilization rate, RRC connection number, terminal throughput, historical switching information and historical network congestion state of the terminal, data packet delay and high-value flow percentage in flow load; when the feature input variable list comprises MDT measurement information, the MDT measurement information comprises one of reference signal receiving power, reference signal receiving quality, signal-to-interference-plus-noise ratio and terminal position information of the terminal; when the list of feature input variables includes a quality of experience parameter, the quality of experience parameter includes a DASH measurement value and/or a MTSI measurement value.
In an exemplary embodiment of the disclosure, the receiving, by the separation management entity, the measurement information sent by the terminal according to the energy saving function establishment instruction includes: when the characteristic input variable list comprises MDT measurement information, the separation management entity generates an MDT measurement instruction according to the MDT measurement information and sends the MDT measurement instruction to a terminal according to the data acquisition period; and the separation management entity receives the measurement information returned by the terminal according to the MDT measurement instruction.
In an exemplary embodiment of the present disclosure, the evaluation variable list includes: one or more of an auxiliary energy-saving identification, address information of an area with unreasonable power consumption, a priority list of a handover cell, a load change trend, a current cell energy-saving state and energy-saving operation recommendation.
In an exemplary embodiment of the present disclosure, the method further comprises: the separation management entity sends the power consumption data of the base station after the energy-saving strategy is executed to the centralized management entity; the centralized management entity determines an energy-saving effect according to the power consumption data and returns the energy-saving effect to the network management side; and the network management side sends second indication information to the centralized management entity according to the energy-saving effect, so that the centralized management entity stops obtaining the prediction index information of the terminal according to the second indication information, and sends the energy-saving strategy to the separation entity according to the prediction index information.
According to a second aspect of the embodiments of the present disclosure, a data transmission system is provided, where the system includes a centralized management entity and a separate management entity of a base station; the centralized management entity is used for receiving first indication information; sending an energy-saving function establishing instruction to the separation management entity according to the first indication information, and establishing a data plane function interface with the separation management entity; receiving measurement index information sent by the centralized management entity; obtaining prediction index information of the terminal according to the measurement index information, and sending an energy-saving strategy to the separation management entity according to the prediction index information; the separation management entity is used for receiving the measurement information sent by the terminal according to the energy-saving function establishment instruction; and generating measurement index information according to the measurement information, and sending the measurement index information to the centralized management entity through the data plane functional interface.
According to a third aspect of the embodiments of the present disclosure, an electronic device is provided, which includes: one or more processors; storage means for storing one or more programs; when executed by the one or more processors, cause the one or more processors to implement the data transmission method of any one of the above.
According to a fourth aspect of embodiments of the present disclosure, a computer-readable medium is proposed, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the data transmission method according to any one of the above.
According to the data transmission method, the system, the electronic device and the computer readable medium provided by some embodiments of the present disclosure, the energy saving function of the base station centralized management entity and each separate management entity and the model calling of the related use case are activated, the separate management entity transmits the capability of the terminal and the network and the prediction index information related to the network as the characteristic input to the base station centralized management entity, and particularly, the information interaction is realized by newly defining the F1 interface data plane based on the physical layer granularity information of a group of users or a cell user, which cannot be obtained by the previous centralized management entity. The base station centralized management entity deploys based on the characteristic input and transmits an energy-saving strategy to each separate management entity, namely, the related data indicates a shutdown strategy to be adopted by the base station, and the maximum energy-saving benefit of the network is realized on the premise of ensuring the Quality of Service (QoS) of a user.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. The drawings described below are merely some embodiments of the present disclosure, and other drawings may be derived from those drawings by those of ordinary skill in the art without inventive effort.
Fig. 1 is an overall architecture diagram of a 5G access network.
Fig. 2 is an overall architecture diagram separating the control plane and the user plane of a base station architecture.
Fig. 3 is a flow chart illustrating a method of data transmission according to an example embodiment.
Fig. 4 is a flow chart illustrating a method of data transmission according to another exemplary embodiment.
Fig. 5 is a flow chart illustrating a method of data transmission according to yet another exemplary embodiment.
Fig. 6 is an AI energy saving control architecture diagram of a high-speed rail scenario separation architecture-based base station.
FIG. 7 is a block diagram illustrating a data transmission system in accordance with an exemplary embodiment.
Fig. 8 schematically illustrates a block diagram of an electronic device in an exemplary embodiment of the disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus, a repetitive description thereof will be omitted.
The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the invention. One skilled in the relevant art will recognize, however, that the invention may be practiced without one or more of the specific details, or with other methods, components, systems, steps, and so forth. In other instances, well-known methods, systems, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the invention.
The drawings are merely schematic illustrations of the present invention, in which the same reference numerals denote the same or similar parts, and thus, a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and steps, nor do they necessarily have to be performed in the order described. For example, some steps may be decomposed, some steps may be combined or partially combined, and thus the actual execution order may be changed according to the actual situation.
Fig. 3 is a flow chart illustrating a method of data transmission according to an example embodiment. The data transmission method provided by the embodiment of the disclosure may be executed by a base station, and the base station may include a centralized management entity and a separate management entity. The data transmission method provided by the embodiment of the present disclosure may include steps S302 to S310.
As shown in fig. 3, in step S302, the centralized management entity receives first indication information.
The first indication information may be sent to the centralized management entity by an Operation and Administration (OAM) network manager.
In step S304, the centralized management entity sends an energy saving function establishment instruction to the separation management entity according to the first indication information, and establishes a data plane function interface with the separation management entity.
Wherein, the separation management entity can comprise one or more. The energy-saving function establishing instruction is used for establishing an energy-saving function between the centralized management entity and the separated management entity, and the energy-saving function realizes the energy-saving function of the base station by carrying out data transmission and data analysis between the centralized management entity and the separated management entity.
The data plane functional interface may be, for example, a newly defined F1 interface.
In step S306, the separation management entity receives the measurement information sent by the terminal according to the energy saving function establishment instruction.
In the embodiment of the disclosure, the terminal is user equipment. The measurement information is, for example, MDT measurement information, such as Reference Signal Receiving Power (RSRP) and Reference Signal Receiving Quality (RSRQ) of the serving cell and the neighboring cells reported by each UE, signal to Interference plus Noise Ratio (SINR measurement), with anonymous ID (e.g., C-RNTI) and location information. The measurement information can be sent by the separate management entity to the centralized management entity through the data plane functional interface.
In step S308, the separation management entity generates measurement index information according to the measurement information, and sends the measurement index information to the centralized management entity through the data plane functional interface.
The separation management entity can further calculate the measurement information based on a local model algorithm therein to obtain measurement index information. The local model algorithm is, for example, the target separation management entity algorithm described below.
In step S310, the centralized management entity obtains the prediction index information of the terminal according to the measurement index information, so as to send the energy-saving policy to the separation management entity according to the prediction index information.
The centralized management entity can deploy an AI model based on the measurement index information, and input the measurement index information as the characteristics of the AI model to obtain the prediction index information of the terminal.
According to the data transmission method provided by the embodiment of the disclosure, the energy saving function of the base station centralized management entity and each separate management entity and the model calling of the related use case are activated, the separate management entity transmits the capabilities of the terminal and the network and the prediction index information related to the network as characteristic input to the base station centralized management entity, and particularly, the information interaction is realized by newly defining the F1 interface data plane according to the physical layer granularity information based on a group of users or a cell user, which cannot be obtained by the conventional centralized management entity. The base station centralized management entity deploys based on the characteristic input and transmits an energy-saving strategy to each separate management entity, namely, the related data indicates a shutdown strategy to be adopted by the base station, and the maximum energy-saving benefit of the network is realized on the premise of ensuring the Quality of Service (QoS) of a user.
In an exemplary embodiment, the first indication information may include a use case model name, a list of available algorithms. Step S304 of the embodiment of fig. 3 may include: the centralized management entity determines a use case model list and an alternative algorithm list supported by the use case model list according to the use case model name, the available algorithm list and the local alternative model; determining a data acquisition period; and generating an energy-saving function establishing instruction according to the use case model list, the alternative algorithm list and the data acquisition period and sending the instruction to the separation management entity.
The local alternative model refers to an executable model configured locally by the centralized management entity. The data collection period may be determined according to a communication state (e.g., power consumption) of the base station, or may be set according to a pre-configuration, which is not particularly limited herein.
In an exemplary embodiment, step S304 of the embodiment of fig. 3 may further include: the centralized management entity receives an energy-saving function establishment confirmation message returned by the separation management entity; the energy-saving function establishment confirmation message comprises IP address information and port information of a separation management entity of the data plane function interface, a target use case model determined by the separation management entity according to the use case model list and a separation management entity algorithm determined according to the alternative algorithm list. The data plane functional interface may include separate management entity IP address information and port information, and a centralized management entity IP address information and port information. Wherein, the IP address information and the port information of the centralized management entity can be included in the power saving function setup instruction. That is, the centralized management entity can generate the energy-saving function establishment instruction according to the use case model list, the alternative algorithm list, the IP address information and the port information of the management entity and the data acquisition period.
In this embodiment, the separation management entity may determine the target use case model according to the use case model list and the model list of the local alternatives of the separation management entity, and determine the separation management entity algorithm according to the alternative algorithm list and the local alternative algorithm list of the separation management entity.
In an exemplary embodiment, step S304 of the embodiment of fig. 3 may further include: if the centralized management entity receives a building failure message returned by the separation management entity according to the energy-saving function building instruction, adjusting the energy-saving function building instruction according to a failure reason in the building failure message; sending an adjusted energy-saving function establishment instruction to the separation management entity according to the waiting reinitiation time in the establishment failure message, and establishing a data plane function interface with the separation management entity; the failure reason comprises one or more of use case model list non-support, alternative algorithm list non-support, wireless network layer reason, transmission layer reason and protocol reason.
Fig. 4 is a flow chart illustrating a method of data transmission according to another exemplary embodiment. Step S310 of the embodiment of fig. 3 may include steps S402 to S412.
As shown in fig. 4, in step S402, the centralized management entity adjusts parameters of the target use case model according to the historical training data, and obtains a trained target use case model.
In step S404, the centralized management entity sends a model deployment message to the separation management entity according to the trained target use case model, where the model deployment message includes the trained target use case model and priority information of a separation management entity algorithm corresponding to the target use case model.
In the embodiment of the present disclosure, the separation management entity algorithm priority information may be determined according to a target use case model, for example.
In step S406, the separation management entity returns a model deployment success confirmation message to the centralized management entity according to the model deployment message, where the model deployment success confirmation message includes a target separation management entity algorithm determined in the separation management entity algorithm according to the priority information.
The separation management entity can select the separation management entity with higher priority information as a target separation management entity according to a separation management entity algorithm configured locally. The target separation management entity algorithm may be used to generate measurement indicator information.
In step S408, the separation management entity processes the measurement information through the target separation management entity algorithm, obtains measurement index information, and sends the measurement index information to the centralized management entity.
In step S410, the centralized management entity determines feature input data corresponding to the feature input variable list according to the measurement index information.
In step S412, the centralized management entity processes the feature input data according to the trained target case model, and obtains prediction index information corresponding to the evaluation variable list.
In an exemplary embodiment, the list of feature input variables includes one or more of the following: performance measurement parameters, MDT measurement information, and quality of experience parameters. The specific type of measurement index information may be determined by a list of characteristic input variables.
When the characteristic input variable list comprises performance measurement parameters, the performance measurement parameters comprise one or more of base station current, voltage, energy consumption, temperature, humidity, cell PDCP (packet Data convergence Protocol) Data volume, protocol Data Unit (PDU) session number, PRB (physical Resource block) utilization rate, radio Resource Control (RRC) connection number, terminal throughput, historical switching information and historical network congestion state of the terminal, data packet delay and high-value flow percentage in flow load;
when the feature input variable list comprises MDT measurement information, the MDT measurement information comprises one of reference signal receiving power, reference signal receiving quality, signal-to-interference-plus-noise ratio and terminal position information of the terminal;
when the list of feature input variables includes quality of experience parameters, the quality of experience parameters include Dynamic Adaptive Streaming over HTTP (DASH) measurements based on HTTP and/or MTSI measurements.
In an exemplary embodiment, in step S306 of the embodiment of fig. 3, when the feature input variable list includes MDT measurement information, the separation management entity may generate an MDT measurement instruction according to the MDT measurement information, and send the MDT measurement instruction to the terminal according to a data acquisition cycle; and the separation management entity receives the measurement information returned by the terminal according to the MDT measurement instruction.
In an exemplary embodiment, evaluating the list of variables may include: auxiliary energy-saving identification, address information of an area with unreasonable power consumption, a priority list of a switching cell, load change trend, energy-saving state of a current cell and energy-saving operation recommendation. Wherein the specific type of the prediction index information may be determined by the evaluation variable list.
In an exemplary embodiment, the data transmission method based on the embodiment of fig. 3 may further include the following steps (1) to (3).
(1) And the separation management entity sends the power consumption data of the base station after the energy-saving strategy is executed to the centralized management entity.
(2) And the centralized management entity determines the energy-saving effect according to the power consumption data and returns the energy-saving effect to the network management side.
Wherein, the energy-saving effect can be determined according to the comparison result of the power consumption data and the power consumption threshold value. The difference value of the power consumption data of the base station before the energy-saving strategy is executed and the power consumption data of the base station after the energy-saving strategy is executed can be further determined; and determining the energy-saving effect according to the comparison result of the difference value and the difference value threshold. The energy saving effect may include, for example: the energy-saving effect is achieved and not reached.
(3) And the network management side sends second indication information to the centralized management entity according to the energy-saving effect so that the centralized management entity stops obtaining the prediction index information of the terminal according to the second indication information and sends an energy-saving strategy to the separation entity according to the prediction index information.
After receiving the second indication information, the centralized management entity may stop obtaining the prediction index information of the terminal based on the measurement index information sent by the separation management entity according to the second indication information, and send the energy-saving policy to the separation management entity according to the prediction index information. For example, an energy saving function stop confirmation message may be returned to the network management side after the operation is stopped.
Fig. 5 is a flow chart illustrating a method of data transmission according to yet another exemplary embodiment. The data transmission method provided by the embodiment of the present disclosure may include steps S501 to S516.
As shown in fig. 5, in step S501, the OAM initiates an AI/ML activation signaling to the centralized management entity of the base station, and sends first indication information to the centralized management entity of the base station, where the first indication information is used to invoke a related use case model list for controlling energy saving of the base station based on trajectory prediction. Wherein the first indication information includes but is not limited to the following:
a use case model name;
list of available algorithms: one or more predefined algorithms;
list of feature input variables: one or feature input variables;
evaluating a list of variables;
historical training data: including input feature data and predefined assessment data;
activation/deactivation use case model indication: boolean or enumeration type, yes represents activation of AL/ML model, no represents deactivation of model.
Step S502, the bs centralized management entity initiates synchronization of AI function to the detached management entity through an AI start message (i.e. the first indication information), and the release information includes but is not limited to:
the base station manages the entity name in a centralized way;
based on a use case Model list (Model # 1, model # 2, … …), determining according to a use case Model name, an available algorithm list and a local alternative Model of a centralized management entity;
the list of related examples supporting algorithms (Algorithm # 1, algorithm # 2, … …), such as Arima, prophet, LSTM, random Forest, ensemble Learning Algorithm, etc., i.e. the list of alternative algorithms;
a data acquisition cycle;
the model characteristic input data category can be determined according to the characteristic input variable list;
the output analysis data category can be determined according to the evaluation variable list.
Wherein the model feature input data categories may include: 1) And (3) performance measurement: base station current, voltage, energy consumption, temperature, humidity; cell PDCP data volume, PDU session number, PRB utilization rate and RRC connection number; UE throughput, historical switching information and network congestion state of the UE, data packet delay and percentage of high-value flow in flow load; 2) MDT data: UE measures relevant RSRP, RSRQ, SINR and UE position information; 3) QoE data: the collected measurements are DASH and MTSI measurements; 4) And (5) warning information.
Wherein outputting the analysis data categories may include: 1) Auxiliary energy-saving identification; 2) Geographical location information of areas with unreasonable power consumption and unreasonable reasons; 3) Predicting a cell priority list with possible switching of a terminal; 4) A load variation trend, such as a reference PRB utilization or RRC connection value; 5) Current cell energy saving state; 6) Energy saving operation recommendation, such as recommending a cell ID and a period for performing energy saving operation, recommending a cell ID and a period for accepting traffic, energy saving operation (such as symbol turn-off, channel pipe, transmission power reduction, deep sleep), and turn-off ratio values (such as a time slot turn-off ratio and a channel turn-off ratio); 7) Transmission address information for input data: the method is used for establishing training and inputting data channel address information, including IP addresses and port information distributed by a base station centralized management entity. The data plane functional interface may include a base station centralized management entity IP address and port information, and a base station separate management entity IP address information and port information.
Step S503, the base station separation management entity and the base station centralized management entity establish an AI function, and when the separation management entity can support a related algorithm, a model, etc., the base station centralized management entity is notified through a response message that the AI function is successfully established, and the information contained in the response message includes but is not limited to:
base station separation management entity name;
sending address information for inputting data, wherein the sending address information for inputting data is address information for establishing training and inputting data channels, and comprises an IP address and port information (namely, interface address information of a data plane functional interface) allocated by a base station separation management entity; and
a list of algorithm models that the split management entity matches (i.e., split management entity algorithms).
In an exemplary embodiment, if the establishment is unsuccessful, the separation management entity sends a failure message to the base station centralized management entity, and the side information includes but is not limited to:
base station separation management entity name;
failure reasons (use case non-support, support algorithm mismatch, radio network layer reason, transport layer reason, protocol reason);
waiting for a reinitiation time.
Step S504, the centralized management entity of the base station sends MDT measurement configuration information (i.e., MDT measurement instruction) to the terminal through the separate management entity of the base station, and instructs the terminal to send related measurement information, where the information includes, but is not limited to, RSRP and RSRQ of a serving cell and neighboring cells reported by each UE, and SINR measurement values with anonymous ID (e.g., C-RNTI) and location information.
Step S505, the terminal transmits the measurement request information to the node of the centralized management entity of the base station through the MDT measurement report message.
Step S506, the separation control node sends all measurement data to the base station centralized management entity as model characteristic input quantity, and the input information includes but is not limited to:
base station separation management entity ID;
the base station separation management entity distributes the IP address and the port information (namely the separation management entity interface address information of the data plane functional interface);
the separation management entity supports the current use case model algorithm list (namely, the separation management entity algorithm); and
and (3) performance measurement: base station current, voltage, energy consumption, temperature, humidity; cell PDCP data volume, PDU session number, PRB utilization rate and RRC connection number; UE throughput, UE historical handover information and network congestion status, packet delay, and percentage of high value traffic in traffic load.
In step S507, the base station centralized management entity is endowed with a model training function, and can analyze and evaluate the offline/online model algorithm through periodic input data (including data collected after the network performs certain operations).
Step s508, the base station centralized management entity sends a model deployment message to the separate management entity to indicate the application of the model, where the message includes but is not limited to:
a message identifier;
a model name;
the current use case applies to the model algorithm priority list.
Step S509, the separation management entity replies to the establishment success confirmation message after successfully establishing the connection with the base station centralized management entity; if not successful, a failure to establish message is replied. Wherein the establishing the acknowledgement message comprises:
a message identifier;
a model name; and
model algorithm selected by the separation management entity (i.e. target separation management entity algorithm).
Wherein the set-up failure message may include:
a message identifier;
a model name;
separating an acceptable model algorithm list of management entities; and
the reason for the failure.
And step S510, the base station centralized management entity carries out a model reference process, and based on the trained ML model, forecasting and energy-saving strategy formulation are carried out according to data reported by the terminal and data provided by the separation management entity.
Step S511, the bs centralized management entity sends an analysis report (i.e. an energy saving policy) to the bs detached management entity through the F1 interface control interface, where the analysis report is used to indicate a corresponding energy saving operation, and issues data related to the analysis report to each detached management entity based on the configuration update message, where the analysis report information includes but is not limited to:
the base station centrally manages entity names;
the base station manages the address of the entity port in a centralized way;
a base station centrally manages entity case correlation model algorithm indication;
auxiliary energy-saving identification: boolean or enumerated types to indicate turning on or off related power saving operations;
recommending a cell configuration for performing energy-saving operations;
and recommending the cell configuration for bearing the switched user flow.
The configuration of the cell in which the energy-saving operation is recommended may include: cell ID, execution period, energy saving operation function (symbol off ratio, channel pipe ratio, reduced transmission power ratio, deep sleep).
The recommending the cell configuration for carrying the switched user traffic may include: cell ID, execution period, suspend energy saving indication (stop sign off, stop channel off, transmit power boost).
And step S512, after receiving the analysis report, the separation management entity stores the corresponding configuration information and performs corresponding energy-saving execution according to the analysis report.
Step S513, the network separation management node executes the recommendation operation of the base station centralized management entity in the analysis report, and feeds back a configuration update Acknowledge message to the base station centralized management entity for model update and model parameter optimization, where the carried information includes but is not limited to:
base station separation control node ID;
base station separating management entity port address;
measuring the performance; and
and (5) warning information.
Wherein the performance measurement can comprise base station current, voltage, energy consumption, temperature and humidity; cell PDCP data volume, PDU conversation number, PRB utilization rate and RRC connection number; UE throughput, UE historical handover information and network congestion status, packet delay, percentage of high value traffic in traffic load.
Step S514, the centralized management entity of the base station notifies OAM of the energy saving effect of the separation management entity during the applicable period of the AI algorithm.
Step S515, the OAM instructs the base station centralized management entity to stop the AI function according to the energy saving effect and the preconfigured information.
Step S516, if the base station centralized management entity meets the condition of AI function termination, the OAM is notified that the AI function stop is successful, and the message includes but is not limited to: the base station centrally manages entity names.
Otherwise, feeding back a stop failure message, wherein the response message includes but is not limited to:
the base station manages the entity name in a centralized way;
failure reason (radio network layer reason, transport layer reason, protocol reason); and
waiting for a reinitiation time.
The traditional energy-saving strategy is formulated based on threshold setting or manual regulation, cannot be suitable for the current variable wireless environment, and has very limited energy-saving effect. According to the method and the device, wireless performance indexes such as cell throughput and the like are predicted based on terminal AI track prediction, so that the base station energy-saving strategy is formulated and implemented, and the generated energy-saving benefit is more obvious. Meanwhile, the interaction of massive AI data is realized by adding a data transmission plane between the interfaces of the separation architecture base station F1, particularly the transmission of user and cell level physical layer information and channel condition information counted by the separation nodes meets the application of AI function on the network side.
Fig. 6 is an AI energy saving control architecture diagram of a high-speed rail scenario separation architecture base station.
In this embodiment, in a high-speed rail scenario, a centralized management node issues an energy-saving strategy to a base station based on user trajectory prediction. As shown in fig. 6, when the high-speed railway car does not pass through the base station, the base station performs deep sleep; when the network management side obtains the train information, namely a train is about to pass through, the user track and the load of the carriages (1-i) are predicted according to the direction and the speed of the train and the statistics of the historical traffic data of each carriage, and before the carriage enters a certain base station cell, the energy-saving strategy is indicated for the cells (1-n) according to the decision of a centralized management node, and the specific process is as follows:
in step 601, the OAM side initiates an AI function to the centralized control entity.
Step 602, the centralized management entity establishes an AI function with the separate management entity through the interface AI function management.
Step 603, the separation node configures the measurement information to the terminal side according to the received information, and sends a record configuration message to the terminal.
In step 604, the terminal measures the historical location information, RSRP, RSRQ, SINR values, etc., and transmits the measured values to the separation management node through the MDT measurement message.
Step 605, the separation management entity sends all measurement data to the base station centralized management entity, where the measurement data includes MDT measurement information and performance measurement information, such as base station current, voltage, energy consumption, temperature, humidity, cell PDCP data volume, PDU session number, PRB utilization rate, RRC connection number, UE throughput, UE historical handover information and network congestion state, and packet delay.
And 606, the centralized management node takes the reported information as the characteristic input quantity of the model to train the model.
Step 607, the centralized management node initiates AI model deployment to the separation node, and realizes synchronization of the model after parameter optimization and the usage algorithm.
And 608, carrying out model reference by the centralized management node, and generating a model analysis report to carry out trajectory prediction, load prediction and energy-saving strategy formulation.
Step 609, the centralized management entity sends an analysis report to the separation node through the F1 interface, for indicating the corresponding energy saving operation of the base station, including a list of cells recommending the execution of the energy saving operation, specific energy saving operation (symbol turn-off ratio, channel pipe ratio, reduction of transmission power ratio, deep sleep) and execution period, and a list of cells recommending the bearer switching user traffic.
Step 610, the separation management entity performs energy saving operation and feeds back measurement information to the centralized management entity for judging energy saving effect.
Step 611, the centralized management entity of the base station notifies the OAM of the energy saving effect of the separation management entity during the application period of the AI algorithm.
In step 612, oam instructs the centralized management entity of the base station to stop or continue AI function according to energy saving effect or pre-configured information (according to whether a train completely passes or whether a train is about to pass).
The embodiment can reduce the waste of network resources and realize the network energy-saving benefit to the maximum extent on the premise of ensuring the user experience of the high-speed rail.
The method and the device realize the transmission of the F1 interface data plane of the base station with the separated framework, and meet the requirement that the separated management entity reports the granularity information of the physical layer to the centralized management entity, so that the centralized management entity can know the wireless resource occupation conditions of a plurality of users in the service cell and the adjacent cell.
The information of a group of users and users which are not established in the cell is reported to the centralized management entity by the separated management entity, and the requirements of the network AI entity on the relevant training data for prediction and decision are met.
The centralized management entity performs model training according to the measurement data reported by the separation management entity, indicates a model spool algorithm and parameter configuration to the separation nodes through model deployment information, finally issues an energy-saving strategy to the separation management entity through CU configuration update information based on a model reference function, and each separation node controls the base station to realize energy saving of the network.
4. And the centralized control node reports the energy-saving state indication message to the network management side, so that the network management can make decisions of continuing and terminating the AI function.
It should be clearly understood that this disclosure describes how to make and use particular examples, but the principles of this disclosure are not limited to any details of these examples. Rather, these principles can be applied to many other embodiments based on the teachings of the present disclosure.
Those skilled in the art will appreciate that all or part of the steps for implementing the above embodiments are implemented as a computer program executed by a Central Processing Unit (CPU). When executed by a central processing unit CPU, performs the functions defined by the above-described methods provided by the present disclosure. The program may be stored in a computer readable storage medium, which may be a read-only memory, a magnetic or optical disk, or the like.
Furthermore, it should be noted that the above-mentioned figures are only schematic illustrations of the processes involved in the methods according to exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily appreciated that the processes illustrated in the above figures are not intended to indicate or limit the temporal order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
The following are embodiments of the disclosed system that may be used to perform embodiments of the disclosed method. For details not disclosed in the embodiments of the system of the present disclosure, refer to the embodiments of the method of the present disclosure.
FIG. 7 is a block diagram illustrating a data transmission system in accordance with an exemplary embodiment. Referring to fig. 7, the data transmission system 70 provided by the embodiment of the present disclosure may include a centralized management entity 702 and a separate management entity 704 in a base station.
In the data transmission system 70, the centralized management entity 702 is configured to receive first indication information; sending an energy-saving function establishing instruction to the separation management entity according to the first indication information, and establishing a data plane function interface with the separation management entity; receiving measurement index information sent by the centralized management entity; obtaining prediction index information of the terminal according to the measurement index information, and sending an energy-saving strategy to the separation management entity according to the prediction index information;
the separation management entity 704 is configured to receive measurement information sent by a terminal according to the energy saving function establishment instruction; and generating measurement index information according to the measurement information, and sending the measurement index information to the centralized management entity through the data plane functional interface.
According to the data transmission system provided by the embodiment of the disclosure, the energy saving function of the base station centralized management entity and each separate management entity and the model calling of the related use case are activated, the separate management entity transmits the capabilities of the terminal and the network and the prediction index information related to the network as characteristic input to the base station centralized management entity, and particularly, the information interaction is realized by newly defining the F1 interface data plane according to the physical layer granularity information based on a group of users or a cell user, which cannot be obtained by the conventional centralized management entity. The base station centralized management entity deploys based on the characteristic input and transmits an energy-saving strategy to each separate management entity, namely, the related data indicates a shutdown strategy to be adopted by the base station, and the maximum energy-saving benefit of the network is realized on the premise of ensuring the Quality of Service (QoS) of a user.
An electronic device 800 according to this embodiment of the invention is described below with reference to fig. 8. The electronic device 800 shown in fig. 8 is only an example and should not bring any limitations to the function and scope of use of the embodiments of the present invention.
As shown in fig. 8, electronic device 800 is in the form of a general purpose computing device. The components of the electronic device 800 may include, but are not limited to: the at least one processing unit 810, the at least one memory unit 820, and a bus 830 that couples various system components including the memory unit 820 and the processing unit 810.
Wherein the storage unit stores program code that can be executed by the processing unit 810, such that the processing unit 810 performs the steps according to various exemplary embodiments of the present invention described in the above section "exemplary method" of this specification. For example, the processing unit 810 may perform the steps as shown in fig. 3 or fig. 4 or fig. 5 or fig. 6.
The storage unit 820 may include readable media in the form of volatile memory units such as a random access memory unit (RAM) 8201 and/or a cache memory unit 8202, and may further include a read only memory unit (ROM) 8203.
The electronic device 800 may also communicate with one or more external devices 900 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 800, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 800 to communicate with one or more other computing devices. Such communication may occur over input/output (I/O) interfaces 850. Also, the electronic device 800 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 860. As shown, the network adapter 860 communicates with the other modules of the electronic device 800 via the bus 830. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the electronic device 800, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, to name a few.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, and may also be implemented by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal system, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, the various aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above section "exemplary method" of this description, when said program product is run on said terminal device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
Furthermore, the above-described drawings are only schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (12)
1. A data transmission method is applied to a base station, wherein the base station comprises a centralized management entity and a separated management entity, and the method comprises the following steps:
the centralized management entity receives first indication information;
the centralized management entity sends an energy-saving function establishing instruction to the separation management entity according to the first indication information and establishes a data plane function interface with the separation management entity;
the separation management entity receives the measurement information sent by the terminal according to the energy-saving function establishment instruction;
the separation management entity generates measurement index information according to the measurement information and sends the measurement index information to the centralized management entity through the data plane functional interface;
and the centralized management entity acquires the prediction index information of the terminal according to the measurement index information so as to send an energy-saving strategy to the separated management entity according to the prediction index information.
2. The method of claim 1, wherein the first indication information includes a use case model name, a list of available algorithms; wherein, the step of sending, by the centralized management entity, an energy saving function establishment instruction to the separation management entity according to the first indication information, and establishing a data plane function interface with the separation management entity includes:
the centralized management entity determines a use case model list and an alternative algorithm list supported by the use case model list according to the name of the use case model, the available algorithm list and a local alternative model;
the centralized management entity determines a data acquisition period;
and the centralized management entity generates the energy-saving function establishing instruction according to the use case model list, the alternative algorithm list and the data acquisition period and sends the energy-saving function establishing instruction to the separated management entity.
3. The method of claim 2, wherein the centralized management entity sends an energy-saving function establishment instruction to the separation management entity according to the first indication information, and establishes a data plane functional interface with the separation management entity further comprises:
the centralized management entity receives an energy-saving function establishment confirmation message returned by the separated management entity;
the energy-saving function establishment confirmation message comprises IP address information and port information of a separation management entity of the data plane function interface, a target use case model determined by the separation management entity according to the use case model list and a separation management entity algorithm determined according to the alternative algorithm list.
4. The method of claim 2, wherein the centralized management entity sends an energy-saving function establishment instruction to the separation management entity according to the first indication information, and establishes a data plane functional interface with the separation management entity further comprises:
if the centralized management entity receives a failed establishment message returned by the separated management entity according to the energy-saving function establishment instruction, adjusting the energy-saving function establishment instruction according to a failure reason in the failed establishment message;
sending the adjusted energy-saving function establishment instruction to the separation management entity according to the waiting reinitiation time in the establishment failure message, and establishing the data plane function interface with the separation management entity;
the failure reason comprises one or more of use case model list non-support, alternative algorithm list non-support, wireless network layer reason, transmission layer reason and protocol reason.
5. The method of claim 3, wherein the first indication information further comprises a feature input variable list, an evaluation variable list, and historical training data; wherein, the obtaining, by the centralized management entity, the prediction index information of the terminal according to the measurement index information includes:
the centralized management entity adjusts the parameters of the target case model according to the historical training data to obtain a trained target case model;
the centralized management entity sends a model deployment message to the separated management entity according to the trained target case model, wherein the model deployment message comprises the trained target case model and priority information of a separated management entity algorithm corresponding to the target case model;
the separation management entity returns a model deployment success confirmation message to the centralized management entity according to the model deployment message, wherein the model deployment success confirmation message comprises a target separation management entity algorithm determined in a separation management entity algorithm according to the priority information;
the separation management entity processes the measurement information through a target separation management entity algorithm to obtain the measurement index information and sends the measurement index information to the centralized management entity;
the centralized management entity determines characteristic input data corresponding to the characteristic input variable list according to the measurement index information;
and the centralized management entity processes the characteristic input data according to the trained target case model to obtain the prediction index information corresponding to the evaluation variable list.
6. The method of claim 5, wherein the list of feature input variables includes one or more of: performance measurement parameters, MDT measurement information and quality of experience parameters;
when the characteristic input variable list comprises performance measurement parameters, the performance measurement parameters comprise one or more of base station current, voltage, energy consumption, temperature, humidity, cell PDCP data volume, PDU session number, PRB utilization rate, RRC connection number, terminal throughput, historical switching information and historical network congestion state of the terminal, data packet delay and high-value flow percentage in flow load;
when the feature input variable list comprises MDT measurement information, the MDT measurement information comprises one of reference signal receiving power, reference signal receiving quality, signal-to-interference-plus-noise ratio and terminal position information of the terminal;
when the list of feature input variables includes a quality of experience parameter, the quality of experience parameter includes a DASH measurement value and/or a MTSI measurement value.
7. The method of claim 6, wherein the receiving, by the separation management entity, the measurement information transmitted by the terminal according to the energy saving function setup instruction comprises:
when the characteristic input variable list comprises MDT measurement information, the separation management entity generates an MDT measurement instruction according to the MDT measurement information and sends the MDT measurement instruction to a terminal according to the data acquisition period;
and the separation management entity receives the measurement information returned by the terminal according to the MDT measurement instruction.
8. The method of claim 5, wherein the evaluating the list of variables comprises: auxiliary energy-saving identification, address information of an area with unreasonable power consumption, a priority list of a switching cell, load change trend, energy-saving state of a current cell and energy-saving operation recommendation.
9. The method of claim 1, wherein the method further comprises:
the separation management entity sends the power consumption data of the base station after the energy-saving strategy is executed to the centralized management entity;
the centralized management entity determines an energy-saving effect according to the power consumption data and returns the energy-saving effect to the network management side;
and the network management side sends second indication information to the centralized management entity according to the energy-saving effect, so that the centralized management entity stops obtaining the prediction index information of the terminal according to the second indication information, and sends the energy-saving strategy to the separation entity according to the prediction index information.
10. A data transmission system, characterized in that the system comprises a centralized management entity and a separate management entity of a base station;
the centralized management entity is used for receiving first indication information; sending an energy-saving function establishment instruction to the separation management entity according to the first indication information, and establishing a data plane function interface with the separation management entity; receiving measurement index information sent by the centralized management entity; obtaining prediction index information of the terminal according to the measurement index information, and sending an energy-saving strategy to the separation management entity according to the prediction index information;
the separation management entity is used for receiving the measurement information sent by the terminal according to the energy-saving function establishment instruction; and generating measurement index information according to the measurement information, and sending the measurement index information to the centralized management entity through the data plane functional interface.
11. An electronic device, comprising:
at least one processor;
storage means for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement the method of any one of claims 1-9.
12. A computer-readable medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of any one of claims 1-9.
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