WO2021031665A1 - 连接服务质量的预测方法及装置 - Google Patents

连接服务质量的预测方法及装置 Download PDF

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Publication number
WO2021031665A1
WO2021031665A1 PCT/CN2020/095596 CN2020095596W WO2021031665A1 WO 2021031665 A1 WO2021031665 A1 WO 2021031665A1 CN 2020095596 W CN2020095596 W CN 2020095596W WO 2021031665 A1 WO2021031665 A1 WO 2021031665A1
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service quality
connection service
quality prediction
wireless communication
communication system
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PCT/CN2020/095596
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English (en)
French (fr)
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许玲
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中兴通讯股份有限公司
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Publication of WO2021031665A1 publication Critical patent/WO2021031665A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • 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
    • H04L41/14—Network analysis or design
    • H04L41/147—Network analysis or design for predicting network behaviour
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports

Definitions

  • This application relates to, but is not limited to, the field of Internet of Vehicles. Specifically, it relates to a method and device for predicting connection service quality.
  • wireless communication systems provide basic connectivity for the Internet of Everything anytime, anywhere.
  • the Internet of Vehicles will greatly improve driving safety, improve traffic efficiency, save energy and reduce emissions, and promote urban green shared travel.
  • connection service When the connection service provided by the wireless communication system gradually becomes the basic support for the Internet of Vehicles application, the ability to effectively and accurately provide the connection service prediction is becoming more and more critical for the Internet of Vehicles application, and even becomes a key capability for the Internet of Vehicles to be recognized by the industry.
  • IoV applications such as autonomous driving, intelligent transportation systems
  • IoV applications can obtain the capabilities that can be achieved in a certain geographic area communication connection in a certain period of time in the future, and the changes in this capability, which will help the IoV applications to calculate in advance And adjust the working mode to ensure driving safety or business availability.
  • connection services needs to consume various resources such as connection, storage, and calculation of the wireless communication system.
  • the more content that needs to be predicted the higher the accuracy, the greater the advance, and the larger the coverage area, the more connection, storage, and computing resources are required.
  • Different IoV applications require different types of predictions, accuracy, region, forecast refresh frequency, forecast advance, etc. If the same prediction content is used to provide different IoV applications, the redundant prediction information is useless on the one hand. On the one hand, system resources are wasted; the lack of predictive information may be the key information for business operations, which may result in business failure.
  • the embodiments of the present application provide a method and device for predicting connection service quality, so as to at least solve the problem of resource waste caused by the same prediction information received by different car networking applications in related technologies.
  • a method for predicting the quality of connection service which includes: a car networking application sends a connection service quality prediction request to a wireless communication system, wherein the connection service quality prediction request carries the The connection service quality prediction configuration requirement of the car networking application configuration; receiving feedback information of the wireless communication system, wherein the feedback information indicates whether the wireless communication system receives the processing result of the connection service quality prediction configuration requirement; The first connection service quality prediction parameter between the Internet of Vehicles application and the wireless communication system is determined according to the feedback information, wherein the first connection service quality prediction parameter is used by the wireless communication system for the vehicle In the process of predicting the connection service quality of the networking application; receiving a prediction report fed back by the wireless communication system, wherein the prediction report is based on the connection service quality prediction parameter during the process of the wireless communication system performing the connection service quality prediction The result of data collection.
  • a wireless communication system receives a connection service quality prediction request sent by an Internet of Vehicles application, wherein the connection service quality prediction request carries The connection service quality prediction configuration demand configured by the car networking application; sending feedback information to the car networking application, wherein the feedback information indicates whether the wireless communication system receives the connection service quality prediction configuration demand processing Result; determining the first connection service quality prediction parameter between the car networking application and the wireless communication system according to the feedback information; the wireless communication system is in the process of predicting the connection service quality corresponding to the car networking application , Performing data collection according to the first connection service quality prediction parameter, and forming a prediction report; and feeding back the prediction report to the vehicle networking application.
  • a device for predicting connection service quality which is used in an Internet of Vehicles application, including: a first sending module configured to send a connection service quality prediction request to a wireless communication system, wherein The connection service quality prediction request carries the connection service quality prediction configuration requirements of the car networking application configuration; the first receiving module is configured to receive feedback information of the wireless communication system, wherein the feedback information indicates that there is Whether the wireless communication system receives the processing result of the connection service quality prediction configuration requirement; a first determining module configured to determine the first connection service quality between the car networking application and the wireless communication system according to the feedback information Prediction parameters, wherein the first connection service quality prediction parameter is used in the process of predicting the connection service quality of the wireless communication system for the Internet of Vehicles application; the second receiving module is configured to receive feedback from the wireless communication system The prediction report, wherein the prediction report is a result of data collection performed according to the connection service quality prediction parameter during the process of performing the connection service quality prediction by the wireless communication system.
  • an apparatus for predicting connection service quality for use in a wireless communication system including: a third receiving module configured to receive a connection service quality prediction request sent by an Internet of Vehicles application, wherein: The connection service quality prediction request carries the connection service quality prediction configuration requirements of the Internet of Vehicles application configuration; the second sending module is configured to send feedback information to the Internet of Vehicles application, wherein the feedback information indicates Whether the wireless communication system receives the processing result of the connection service quality prediction configuration requirement; a second determining module configured to determine the first connection service between the car networking application and the wireless communication system according to the feedback information Quality prediction parameters; a collection module configured to collect data according to the first connection service quality prediction parameters during the connection service quality prediction process corresponding to the Internet of Vehicles application, and form a prediction report; a third sending module, set To feed back the forecast report to the car networking application.
  • a storage medium in which a computer program is stored, wherein the computer program is configured to execute the steps in any one of the foregoing method embodiments when running.
  • an electronic device including a memory and a processor, the memory is stored with a computer program, and the processor is configured to run the computer program to execute any of the above Steps in the method embodiment.
  • the Internet of Vehicles application sends a connection service quality prediction request to the wireless communication system, wherein the connection service quality prediction request carries the connection service quality prediction configuration requirements of the Internet of Vehicles application configuration; receiving the said The feedback information of the wireless communication system, wherein the feedback information indicates whether the wireless communication system receives the processing result of the connection service quality prediction configuration demand; the vehicle networking application and the wireless communication system are determined according to the feedback information.
  • the first connection service quality prediction parameter between communication systems wherein the first connection service quality prediction parameter is used in the process of predicting the connection service quality of the wireless communication system for the Internet of Vehicles application; receiving the wireless communication The prediction report fed back by the system, wherein the prediction report is a result of data collection performed according to the connection service quality prediction parameter during the process of performing the connection service quality prediction by the wireless communication system.
  • the Internet of Vehicles application and the wireless communication system negotiate the connection service quality prediction parameters, which realizes the customization of different prediction information for different Internet of Vehicles applications, avoids wasting resources, makes rational use of resources, and solves the different problems in related technologies.
  • the forecast information received by the Internet of Vehicles application is the same as the problem of waste of resources.
  • FIG. 1 is a hardware structure block diagram of a mobile terminal of a method for predicting connection service quality according to an embodiment of the present application
  • Fig. 2 is a flowchart of a method for predicting connection service quality according to an embodiment of the present application
  • Fig. 3 is a schematic diagram 1 of interactions between the wireless communication system and various Internet of Vehicles applications according to the embodiments of the present application;
  • FIG. 4 is a schematic diagram of the interaction between the wireless communication system and various car networking applications according to the embodiment of the present application
  • Fig. 5 is a flow chart of the configuration of connection service quality prediction according to an embodiment of the present application.
  • FIG. 6 is a flowchart of the connection service quality prediction initiated by the Internet of Vehicles application according to an embodiment of the present application
  • Fig. 7 is a flowchart of the termination of connection service quality prediction according to an embodiment of the present application.
  • the third-generation mobile communication technology 3GPP TR23.786 discusses the path-based quality of service QoS resource reservation plan to ensure that the network can provide the required car networking applications on a certain path in a certain time window in the future.
  • Connection quality of service This method is mainly based on the connection service quality requirements given by the Internet of Vehicles application, the planned path, and the future time window, to determine whether resources can be reserved, and to give a response whether to support the connection quality service requirements and the corresponding credibility. But in fact, the connection service quality requirements given by the vehicle-mounted terminal may be constantly changing. If the wireless communication system can provide more accurate and detailed connection service quality prediction information, not just "support” or "unsupported", then the vehicle Networked applications can use this information to adjust related perception algorithms and autonomous driving algorithms.
  • the Internet of Vehicles application may require the wireless communication system to notify the Internet of Vehicles application when the connection service quality changes, so that the Internet of Vehicles application can be adjusted.
  • This method is mainly based on the requirements of the Internet of Vehicles application, when the wireless communication system detects that the connection service quality has changed, the Internet of Vehicles application is notified.
  • This solution mainly provides changes in connection service quality that have occurred, and cannot provide predictions for future network connection services.
  • unified notifications are provided for the Internet of Vehicles applications, and customized information cannot be provided.
  • the embodiments of the present application provide a mobile communication network (including but not limited to a 5G mobile communication network).
  • the network architecture of the network may include network-side devices (such as base stations) and terminals.
  • a method for predicting connection service quality that can be run on the above network architecture is provided. It should be noted that the operating environment of the above information transmission method provided in the embodiment of the application is not limited to the above network architecture.
  • FIG. 1 is a hardware structure block diagram of a mobile terminal of a method for predicting the quality of connection service according to an embodiment of the present application.
  • the mobile terminal may include one or more (FIG. 1 Only one is shown in) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data.
  • the above-mentioned mobile terminal also It may include a transmission device 106 for communication functions and an input/output device 108.
  • FIG. 1 is only for illustration, and does not limit the structure of the above-mentioned mobile terminal.
  • the mobile terminal may also include more or fewer components than shown in FIG. 1, or have a different configuration from that shown in FIG.
  • the memory 104 may be configured to store software programs and modules of application software, such as program instructions/modules corresponding to the method for predicting connection service quality in the embodiment of the present application.
  • the processor 102 runs the software programs and modules stored in the memory 104, Thereby, various functional applications and data processing are executed, that is, the above-mentioned method is realized.
  • the memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory.
  • the memory 104 may further include a memory remotely provided with respect to the processor 102, and these remote memories may be connected to the mobile terminal through a network. Examples of the aforementioned networks include but are not limited to the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.
  • the transmission device 106 is configured to receive or transmit data via a network.
  • the foregoing specific examples of the network may include a wireless network provided by a communication provider of a mobile terminal.
  • the transmission device 106 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station to communicate with the Internet.
  • the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet in a wireless manner.
  • RF radio frequency
  • FIG. 2 is a flowchart of the method for predicting the quality of connection service according to an embodiment of the present application. As shown in FIG. 2, the process includes The following steps:
  • Step S202 The Internet of Vehicles application sends a connection service quality prediction request to the wireless communication system, wherein the connection service quality prediction request carries the connection service quality prediction configuration requirements of the Internet of Vehicles application configuration;
  • Step S204 Receive feedback information of the wireless communication system, where the feedback information indicates whether the wireless communication system receives the processing result of the connection service quality prediction configuration requirement;
  • Step S206 Determine a first connection service quality prediction parameter between the Internet of Vehicles application and the wireless communication system according to the feedback information, wherein the first connection service quality prediction parameter is used for the wireless communication system to In the process of predicting the connection service quality of the Internet of Vehicles application;
  • Step S208 Receive a prediction report fed back by the wireless communication system, where the prediction report is a result of data collection performed according to the connection service quality prediction parameter during the process of the wireless communication system performing the connection service quality prediction.
  • the Internet of Vehicles application and the wireless communication system negotiate the connection service quality prediction parameters, which realizes the customization of different prediction information for different Internet of Vehicles applications, avoids wasting resources, makes rational use of resources, and solves the different problems in related technologies.
  • the forecast information received by the Internet of Vehicles application is the same as the problem of waste of resources.
  • the execution subject of the foregoing steps may be a terminal or a vehicle installed with an Internet of Vehicles application, but is not limited thereto.
  • connection service quality prediction request carries the connection service quality prediction configuration requirements of the Internet of Vehicles application configuration, including at least one of the following: the start and end of the required prediction, the planned path to be predicted, and the prediction report
  • the time advance of the forecast, the distance advance of the forecast report, one or more connection service indicators to be reported in the target area, the credibility of the forecast report of the connection service quality provided by the wireless communication system, and the forecast reported by the wireless communication system Information accuracy, reporting conditions of predicted information, and reporting frequency of predicted information.
  • the start and end of the predicted time mentioned above refers to the absolute time of the start and end of the connection service quality prediction, which can be a combination of the start time and the duration, or a combination of the start time and the absolute time of the end;
  • the above-mentioned predicted planned route refers to the route plan provided by the Internet of Vehicles application, including one or more geographical indications and the time when the geographical indication is expected to pass;
  • the above-mentioned forecast reporting time advance refers to how far ahead of time the forecast information of connection service quality is reported to the Internet of Vehicles application at the time when the geographical indication of the planned route is expected to be reached;
  • the above-mentioned forecasted distance advancement reported refers to how far ahead of geographic identification needs to be reported to the Internet of Vehicles application based on route planning;
  • connection service indicators that need to be reported in the above target area, including delay, reliability, availability, throughput, coverage, capacity, etc.;
  • the credibility of the connection service quality prediction provided above may be the credibility interval for each connection service index, or the overall credibility interval of the connection service quality prediction information;
  • the accuracy of the above prediction information is the accuracy of each required connection service quality index value
  • the Internet of Vehicles application sends a connection service quality prediction request to the wireless communication system, including that the connection service quality prediction request also carries the application ID of the Internet of Vehicles application; the Internet of Vehicles application sends a connection service to the wireless communication system
  • the quality prediction request includes: the car networking application configures the content in the connection service quality prediction request to the wireless communication system by calling the application program interface API of the wireless communication system; receiving feedback information from the wireless communication system, including : The vehicle networking application receives the feedback information through the API of the wireless communication system.
  • the feedback information indicates whether the wireless communication system receives the processing result of the connection service quality prediction configuration demand, and includes at least one of the following: the feedback information is all accepted, and is used to indicate the wireless The communication system accepts all the connection service quality prediction configuration requirements; the feedback information is partially accepted, and is used to instruct the wireless communication system to partially accept the connection service quality prediction configuration requirements; the feedback information is not accepted, and is used Instruct the wireless communication system not to accept the connection service quality prediction configuration requirement.
  • the method further includes: when the feedback information is partially accepted, the feedback information also carries a second connection service quality prediction parameter supported by the wireless communication system; wherein, the second connection The service quality prediction parameters include one of the following: the start and end of the required prediction time, the planned route to be predicted, the time advance of the forecast report, the distance advance of the forecast report, and one or more connection service indicators to be reported in the target area , The reliability of the connection service quality prediction report provided by the wireless communication system, the accuracy of the prediction information reported by the wireless communication system, the reporting condition of the prediction information, and the reporting frequency of the prediction information.
  • determining the first connection service quality prediction parameter between the car networking application and the wireless communication system according to the feedback information includes one of the following: when the feedback information is all accepted, determining the The connection service quality prediction configuration requirement is the first connection service quality prediction parameter.
  • the second connection The service quality prediction parameter is used as the first connection service quality prediction parameter, and feeds back to the wireless communication system that the car networking application accepts the second connection service quality prediction parameter; when the feedback information is partially accepted, and When the car networking application does not accept the second connection service quality prediction parameter, feed back to the wireless communication system that the car networking application does not accept the second connection service quality prediction parameter; when the feedback information is not accepted , The vehicle networking application notifies the wireless communication system that the current negotiation on the connection service quality prediction parameter is invalid.
  • the car networking application before receiving the prediction report fed back by the wireless communication system, the car networking application sends the connection service quality prediction process start message to the wireless communication system; after receiving the prediction report fed back by the wireless communication system, The car networking application sends a first termination message for terminating the connection service quality prediction process to the wireless communication system, or the car networking application terminates the connection service quality prediction process by calling an application program interface API, Alternatively, the Internet of Vehicles application receives a second termination message sent by the wireless communication system for terminating the connection service quality prediction process.
  • the first termination message or the second termination message includes the car networking application ID and the termination reason, such as the serious network congestion of the wireless communication system.
  • one of the following solutions is executed: sending to the wireless communication system The connection service quality prediction process termination message, and the first connection service quality prediction parameter is updated to the wireless communication system; the effective start time of the updated first connection service quality prediction parameter is configured for the wireless communication system, where , When the effective start time is reached, data collection is performed according to the updated first connection service quality prediction parameter.
  • a method for predicting connection service quality includes the following steps:
  • Step 1 The wireless communication system receives the connection service quality prediction request sent by the Internet of Vehicles application, wherein the connection service quality prediction request carries the connection service quality prediction configuration requirements of the Internet of Vehicles application configuration;
  • Step 2 Send feedback information to the Internet of Vehicles application, where the feedback information indicates whether the wireless communication system receives the processing result of the connection service quality prediction configuration demand;
  • Step 3 Determine the first connection service quality prediction parameter between the Internet of Vehicles application and the wireless communication system according to the feedback information
  • Step 4 The wireless communication system performs data collection according to the first connection service quality prediction parameter during the connection service quality prediction process corresponding to the Internet of Vehicles application, and forms a prediction report;
  • Step 5 Feed back the prediction report to the Internet of Vehicles application.
  • the Internet of Vehicles application and the wireless communication system negotiate the connection service quality prediction parameters, which realizes the customization of different prediction information for different Internet of Vehicles applications, avoids wasting resources, makes rational use of resources, and solves the different problems in related technologies.
  • the forecast information received by the Internet of Vehicles application is the same as the problem of waste of resources.
  • sending feedback information to the Internet of Vehicles application includes: judging whether the wireless communication system supports the connection service quality prediction configuration requirement according to a preset or dynamically requested policy from a policy server.
  • the feedback information indicates whether the wireless communication system receives the processing result of the connection service quality prediction configuration requirement, including: when the feedback information is When partially accepted, the feedback information also carries a second connection service quality prediction parameter supported by the wireless communication system, where the second connection service quality prediction parameter is preset or dynamically requested from a policy server;
  • the second connection service quality prediction parameter includes one of the following: the start and end of the required prediction, the planned route to be predicted, the time advance of the forecast report, the distance advance of the forecast report, and the report of the target area
  • One or more connection service indicators the reliability of the connection service quality prediction report provided by the wireless communication system, the accuracy of the prediction information reported by the wireless communication system, the reporting condition of the prediction information, and the reporting frequency of the prediction information.
  • determining the first connection service quality prediction parameter between the car networking application and the wireless communication system according to the feedback information includes one of the following: when the feedback information is all accepted, determining the The connection service quality prediction configuration requirement is the first connection service quality prediction parameter; when the feedback information is partially accepted, and the car networking application accepts the second connection service quality prediction parameter, the car networking application is received
  • the feedback information used to indicate acceptance of the second connection service quality prediction parameter, and use the second connection service quality prediction parameter as the first connection service quality prediction parameter; when the feedback information is partially accepted, And when the car networking application does not accept the second connection service quality prediction parameter, receiving feedback information from the car networking application that does not accept the second connection service quality prediction parameter; when the feedback information is not When accepting, the notification information about the invalid negotiation of the connection service quality prediction parameter notified by the car networking application is received.
  • the wireless communication system collects data according to the first connection service quality prediction parameter, and before forming a prediction report, adopts one of the following methods Start the connection service quality prediction process: receive the start message sent by the Internet of Vehicles application for starting the connection service quality prediction process; when the start condition included in the first connection service quality prediction parameter is met, automatically Start the connection service quality prediction process.
  • the wireless communication system performs data collection according to the first connection service quality prediction parameter during the connection service quality prediction process corresponding to the Internet of Vehicles application, and before forming the prediction report, before starting the connection
  • the wireless communication system requests a set of connection service quality prediction parameters from the car networking application that initiates the connection service prediction process, or requests the car networking application to pre-configure Select one set of parameters for connection service quality prediction.
  • feeding back the forecast report to the Internet of Vehicles application includes: the forecast report includes at least one of the following: Internet of Vehicles application ID, time identifier, predicted connection service quality related index estimation interval, and availability of forecast information Confidence interval, the geographic area where the prediction is applicable, the time interval where the prediction is applicable, and the location of the base station corresponding to the prediction information.
  • the method further includes one of the following: receiving a first termination message sent by the Internet of Vehicles application for terminating the connection service quality prediction process Send a second termination message for terminating the connection service quality prediction process to the Internet of Vehicles application; automatically terminate the connection service when it is detected that the termination condition included in the first connection service quality prediction parameter is detected Quality prediction process.
  • the technical problem to be solved by this application is to overcome the inability in related technologies to provide connection service prediction information on demand according to the needs of different services of the Internet of Vehicles, and provide a method for effectively providing connection service quality prediction information for wireless communication systems.
  • connection service quality prediction function can be supported by a single network element, or it can be supported by multiple network elements; it can belong to a wireless communication system or can cooperate with the wireless communication system to implement the connection service quality prediction function. Establish an interface between the wireless communication system and the Internet of Vehicles application to interact with the relevant connection service quality forecast demand and the connection service quality forecast report.
  • Different Internet of Vehicles applications can independently configure the service quality prediction information of the required wireless communication connection according to the business needs.
  • the content that can be configured includes but not limited to: the start and end of the required forecast, the planned path of the required forecast, and the forecast report time Lead, the distance lead of the forecast report, one or more connection service indicators that need to be reported in the target area, the reliability of the connection service quality forecast provided, the accuracy of the forecast information reported, the report/update condition or frequency of the forecast information Wait.
  • the start and end of the predicted time mentioned above refers to the absolute time of the start and end of the connection service quality prediction, which can be a combination of the start time and the duration, or a combination of the start time and the absolute time of the end;
  • the above-mentioned predicted planned route refers to the route plan provided by the Internet of Vehicles application, including one or more geographical indications and the time when the geographical indication is expected to pass;
  • the above-mentioned forecast reporting time advance refers to how far ahead of time the forecast information of connection service quality is reported to the Internet of Vehicles application at the time when the geographical indication of the planned route is expected to be reached;
  • the above-mentioned forecasted distance advancement reported refers to how far ahead of geographic identification needs to be reported to the Internet of Vehicles application based on route planning;
  • connection service indicators that need to be reported in the above target area, including delay, reliability, availability, throughput, coverage, capacity, etc.;
  • the credibility of the connection service quality prediction provided above may be the credibility interval for each connection service index, or the overall credibility interval of the connection service quality prediction information;
  • the accuracy of the above prediction information is the accuracy of each required connection service quality index value
  • the reporting/updating condition or frequency of the above forecast information is reported or updated if the change in the reported connection service quality index exceeds the threshold within the above start and end time; or during the above start and end time, the forecast information is reported according to the configured update frequency.
  • the Internet of Vehicles application sends a connection service quality prediction information configuration message, which at least carries the corresponding application ID and one or more of the aforementioned parameters to the wireless communication system.
  • the Internet of Vehicles application can also call the API provided by the wireless communication system to configure the connection service quality prediction parameters.
  • the wireless communication system determines whether the predicted configuration requirements of the connection service quality can be accepted according to related strategies.
  • the wireless communication system needs to reply to the Internet of Vehicles application the content of the connection service quality prediction configuration parameter that can be supported. At this time, if the car networking application can accept the adjusted connection service quality prediction configuration, it will reply to the wireless communication network to accept it. If the car networking application is not acceptable, the wireless communication system is notified that the connection service quality prediction parameter negotiation is invalid.
  • the above-mentioned related policies may be pre-configured, or may be dynamically requested from the policy server of the wireless communication system.
  • the supportable connection service quality prediction configuration parameter content can be pre-configured, or it can be dynamically requested from the policy server of the wireless communication system.
  • connection service quality prediction parameter configuration response message The wireless communication system replies to the above information through a connection service quality prediction parameter configuration response message.
  • the response message should at least carry whether it is accepted or partially accepted. If it is partially accepted, it needs to carry the adjusted connection service quality prediction configuration parameters.
  • the wireless communication system can also feed back whether to accept the configuration parameter through the API.
  • connection service quality prediction parameter configuration response message After the car networking application receives the adjusted connection service quality prediction configuration parameters, if it is acceptable, it will reply whether it is accepted through the connection service quality prediction parameter configuration response message. If not, the above configuration parameters are invalid.
  • the Internet of Vehicles application can also call the API interface to feedback whether it is accepted.
  • connection service quality prediction parameters When the wireless communication system is started, there can be one or several sets of pre-configured connection service quality prediction parameters. Different car networking applications can select one set of connection service quality prediction parameters by calling the API interface.
  • connection service quality prediction process can be initiated by a certain car networking application through a connection service quality prediction start message.
  • connection service quality prediction process can also be automatically started according to the starting conditions set in the connection service quality prediction parameter configured in a certain car networking application.
  • connection service quality prediction process can also be initiated by a certain car networking application through an API call interface.
  • connection service quality prediction parameter corresponding to the connected car application at startup
  • the wireless communication system needs to request the connection service quality prediction parameter from the connected car application that starts the function, or requires the connected car application to select from the pre-configured parameters set. This process can be done by means of a message request or through an API interface.
  • the startup and configuration parameters can be performed continuously or independently.
  • the wireless communication system After the connection service quality prediction function is activated, the wireless communication system performs data collection, processing and reporting according to the negotiated connection service quality prediction parameters; the wireless communication system can transmit relevant prediction information to the Internet of Vehicles application through the connection service quality prediction report, or through The API interface feeds back relevant forecast information.
  • the forecast report is set according to forecast parameters, and contains one or more of the following information: application ID, time identifier, estimated interval of relevant indicators of the predicted connection service quality, confidence interval of forecast information, geographical area for forecast, and time interval for forecast ,
  • the prediction information corresponds to the location of the base station, etc.
  • connection service quality prediction process can be initiated and terminated by the corresponding car networking application as required, or can be initiated and terminated by the wireless communication system.
  • the Internet of Vehicles application initiates termination by sending a connection service quality prediction termination message, which at least carries the corresponding application ID, termination reason, etc.
  • the wireless communication system initiates termination by sending a connection service quality prediction termination message.
  • the termination message at least carries the corresponding application ID, termination reason, etc.
  • connection service quality prediction can also automatically terminate the connection service quality prediction process according to the termination condition set in the connection service quality prediction parameter configured by the Internet of Vehicles application.
  • connection service quality prediction process can also be terminated by a certain car networking application through an API call interface.
  • the existing connection service quality prediction process can be terminated first, and then the new wireless communication connection service quality prediction information can be configured. It is also possible to determine the effective start time when configuring the new wireless communication connection service quality prediction information, and when the time arrives, terminate the existing prediction process, and start the prediction process according to the newly configured wireless communication connection service quality parameters.
  • the device (system) for effectively improving the prediction of the connection service quality of a wireless communication system described in this application includes the following modules:
  • connection service quality prediction function can be implemented by the wireless communication system; it can also be an independent function that cooperates with the wireless communication system to complete the relevant prediction function.
  • connection service quality prediction function is independent of the wireless communication system, there is an information interaction interface between the connection service quality prediction function and the wireless communication system to transfer various configuration parameters and forecast report information.
  • FIG. 3 is a schematic diagram of the wireless communication system interacting with various Internet of Vehicles applications according to an embodiment of the present application.
  • the wireless communication system includes a policy server and a connection service quality prediction function, and performs prediction parameter configuration with Internet of Vehicles applications A, B, X, etc. /Negotiation/report, where the connection service quality prediction function is implemented by the wireless communication system.
  • the connection service quality prediction function may belong to a wireless communication system. Establish an interface between the wireless communication system and the Internet of Vehicles application to interact with the relevant connection service quality forecast demand and the connection service quality forecast report.
  • FIG 4 is a schematic diagram of the wireless communication system interacting with various Internet of Vehicles applications according to an embodiment of the present application.
  • the wireless communication system includes a policy server, where the connection service quality prediction function cooperates with the wireless communication system to complete relevant data collection, prediction processing, and prediction Information reporting and other functions.
  • the connection service quality prediction function may not belong to the wireless communication system. It establishes an interface with the wireless communication system, interacts with relevant data collection, and predicts the processing results. Establish an interface between the wireless communication system and the Internet of Vehicles application to interact with the relevant connection service quality forecast demand and connection service quality forecast report.
  • Fig. 5 is a flowchart of connection service quality prediction configuration according to an embodiment of the present application.
  • different Internet of Vehicles applications send connection service quality prediction configurations to independently configure connection service quality prediction information.
  • the wireless communication system determines whether the connection service quality prediction configuration demand can be accepted according to related policies, and sends a connection service quality prediction information configuration response, which includes the following situations:
  • the wireless communication system needs to reply to the car networking application the content of the connection service quality prediction configuration parameter that can be supported, that is, the adjusted configuration parameter.
  • the Internet of Vehicles application receives the response content, and judges whether it indicates that the wireless communication system partially accepts it. If not, the configuration ends; if it is, the connection service quality prediction information configuration response is fed back to the wireless communication system, which indicates that there is an Internet of Vehicles application. Whether to accept the adjusted configuration parameters, that is, if the car networking application can accept the adjusted connection service quality prediction configuration, it will reply to the wireless communication network to accept. If the car networking application is not acceptable, the wireless communication system is notified that the connection service quality prediction parameter negotiation is invalid.
  • Fig. 6 is a flowchart of starting the connection service quality prediction by the Internet of Vehicles application according to an embodiment of the present application.
  • the Internet of Vehicles application sends a connection service quality prediction start message, and the wireless communication system detects whether there are corresponding prediction parameters. If it is, the startup is completed; if not, the wireless communication system needs to request connection service quality prediction parameters from the car networking application that starts the function, or ask the car networking application to select a set of pre-configured parameters; subsequent wireless communication system
  • the connection service quality prediction information configuration information sent by the Internet of Vehicles application is received. The process can be initiated either by means of a message request or via an API interface.
  • Fig. 7 is a flowchart of the termination of connection service quality prediction according to an embodiment of the present application.
  • the connection service quality prediction process can be terminated by the corresponding car networking application as required, or can be terminated by the wireless communication system. That is, the connection service quality prediction termination message can be sent by the car networking application to the wireless communication system to terminate the prediction process, or the wireless communication system can initiate a connection service quality prediction termination message to terminate the prediction process.
  • the Internet of Vehicles application A submits a configuration request to the wireless communication system based on business requirements and a contract with the wireless communication system, through the connection service quality prediction configuration message.
  • the parameters that need to be configured are: the start and end of the time that needs to be predicted (for example, 4pm ⁇ 6pm); the planned route that needs to be predicted (longitude and latitude of multiple landmarks on the expressway); the forecast reporting time is advanced by 10 minutes; the connection service quality forecast that needs to be predicted
  • the indicators are delay, packet loss rate, and data throughput; the reliability is required to be accurate to 4 decimal places; the reporting frequency of forecast information is 20 Hz.
  • Car networking application B calls the API provided by the wireless communication system to configure the connection service quality prediction information according to business requirements and contract with the wireless communication system.
  • the configured parameters are: the start and end of the time that needs to be predicted (Beijing time today 4pm ⁇ 6pm); required Predicted planning path (5km in diameter with location L1 as the center); Predicted reporting time advance of 1 minute; Predicted reporting distance advance of 100m;
  • the predicted indicators of connection service quality that need to be predicted are data throughput and packet loss rate; credible The degree is required to be accurate to 3 digits after the decimal point; the reporting frequency of forecast information is 1 Hz.
  • the Internet of Vehicles application C calls the API provided by the wireless communication system to configure the connection service quality prediction information.
  • the API provides the following configurable parameters: the start and end of the time that needs to be predicted (Beijing time today 4pm ⁇ 6pm); the planned path (region) that needs to be predicted (Center latitude and longitude, area radius); forecast reporting time advance xx, in minutes or seconds; according to the application contract with the wireless communication system, the predictable connection service quality indicators that can be selected by the application are: data throughput and packet loss rate; Reliability is required to be accurate to 3 decimal places; the reporting frequency of forecast information is 1 Hz.
  • the wireless communication system After the wireless communication system receives the prediction parameter configuration information sent by the three car networking applications, it determines whether the connection service quality prediction configuration demand is acceptable according to related strategies.
  • the wireless communication system needs to reply to the Internet of Vehicles application the content of the connection service quality prediction configuration parameter that can be supported. At this time, if the car networking application can accept the adjusted connection service quality prediction configuration, it will reply to the wireless communication network to accept it. If the car networking application is not acceptable, the wireless communication system is notified that the connection service quality prediction parameter negotiation is invalid.
  • the above-mentioned related policies may be pre-configured, or may be dynamically requested from the policy server of the wireless communication system.
  • the supportable connection service quality prediction configuration parameter content can be pre-configured, or it can be dynamically requested from the policy server of the wireless communication system.
  • the wireless communication system replies to the car networking application A by connecting the service quality prediction parameter configuration response message.
  • the response message carries information as acceptance.
  • the wireless communication system replies the response information to the car networking application B by calling the API interface.
  • the response message carries information that it is not accepted and carries related reasons. After that, the wireless communication system and the car networking application B can restart the predictive parameter configuration process.
  • the wireless communication system responds to the vehicle networking application C by calling the API interface.
  • the response message carries information as partial acceptance and adjusted connection service quality prediction configuration parameters.
  • the car networking application C After the car networking application C receives the adjusted connection service quality prediction configuration parameters, it calls the API interface to reply to accept the adjusted prediction configuration parameters.
  • the car networking application A sends a connection service quality prediction start message to the wireless communication system.
  • connection service quality prediction process corresponding to the Internet of Vehicles application C is automatically started according to the predicted configuration parameters.
  • the car networking application B initiates the prediction process through the API call interface. At this time, application B does not have the connection service quality prediction parameter corresponding to the car networking application, and the wireless communication system needs to request the connection service quality prediction parameter from the car networking application B, or request the car networking application to select a set of pre-configured parameters.
  • the startup and configuration parameters can be performed continuously or independently.
  • connection service quality prediction function After the connection service quality prediction function is activated, the wireless communication system performs data collection, processing and reporting according to the negotiated connection service quality prediction parameters;
  • connection service quality prediction information to the car networking application A 50 times per second through the connection service quality prediction report: application ID, time identification, and predicted connection service quality indicators (delay, packet loss rate, data throughput; available) Reliability is accurate to 4 decimal places), highway latitude and longitude, prediction applicable time interval, prediction information corresponding to the location of the base station.
  • the wireless communication system feeds back relevant prediction information to the car networking application B once a second through the API interface: application ID, time identification, and predicted connection service quality indicators (data throughput and packet loss rate; credibility is accurate to 2 decimal places) ), the time interval for which the prediction is applicable, and the prediction information corresponds to the location of the base station.
  • the wireless communication system feeds back relevant prediction information to the car networking application C through the API interface: application ID, time identification, and predicted connection service quality indicators (data throughput and packet loss rate; credibility is accurate to 3 decimal places), and the prediction is applicable
  • the prediction information corresponds to the location of the base station.
  • connection service quality prediction process can be initiated and terminated by the corresponding car networking application as required, or can be initiated and terminated by the wireless communication system.
  • the wireless communication system sends a connection service quality prediction termination message to the car networking application A, where the termination message carries the corresponding application ID and the termination reason.
  • the car networking application B calls the API to terminate the connection service quality prediction process, and carries information such as the reason for the termination.
  • connection service quality prediction process of the IoV application C is automatically terminated according to the termination condition (such as time termination) set in the connection service quality prediction parameter configured by the IoV application.
  • connection service quality prediction process when the car networking application B needs to modify the connection service quality prediction parameters, the existing connection service quality prediction process is terminated first, and then the new wireless communication connection service quality prediction information is configured.
  • the car networking application B may also determine the effective starting time when configuring new wireless communication connection service quality prediction information, and when the time arrives, terminate the existing prediction process and start the prediction process according to the newly configured wireless communication connection service quality parameters.
  • connection service quality prediction parameters for different Internet of Vehicles applications it is possible to configure the required connection service quality prediction parameters for different Internet of Vehicles applications to optimize the connection service quality prediction content according to the needs of different applications; the method described in this application supports the start of the prediction function, Forecast content settings, define forecast reporting mechanism, forecast termination, forecast parameter modification, etc. It can effectively reduce the consumption of communication, storage, and computing resources required by the wireless communication system in the process of connecting service quality prediction, customize on-demand, and effectively use resources to provide services for Internet of Vehicles applications.
  • the method according to the above embodiment can be implemented by means of software plus the necessary general hardware platform, of course, it can also be implemented by hardware, but in many cases the former is Better implementation.
  • the technical solution of this application essentially or the part that contributes to the existing technology can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as ROM/RAM, magnetic disk, The optical disc) includes several instructions to enable a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the method described in each embodiment of the present application.
  • a device for predicting the quality of connection service is also provided.
  • the device is used to implement the above-mentioned embodiments and preferred implementations, and what has been described will not be repeated.
  • the term "module" can implement a combination of software and/or hardware with predetermined functions.
  • the devices described in the following embodiments are preferably implemented by software, hardware or a combination of software and hardware is also possible and conceived.
  • a device for predicting connection service quality which is used in Internet of Vehicles applications, including:
  • the first sending module is configured to send a connection service quality prediction request to the wireless communication system, wherein the connection service quality prediction request carries the connection service quality prediction configuration requirement of the car networking application configuration;
  • the first receiving module is configured to receive feedback information of the wireless communication system, wherein the feedback information indicates whether the wireless communication system receives the processing result of the connection service quality prediction configuration requirement;
  • the first determining module is configured to determine a first connection service quality prediction parameter between the vehicle networking application and the wireless communication system according to the feedback information, wherein the first connection service quality prediction parameter is used for the In the process of predicting the connection service quality of the car networking application by the wireless communication system;
  • the second receiving module is configured to receive a prediction report fed back by the wireless communication system, wherein the prediction report is data collection performed according to the connection service quality prediction parameter during the process of the wireless communication system performing the connection service quality prediction the result of.
  • an apparatus for predicting the quality of connection service for use in a wireless communication system including:
  • the third receiving module is configured to receive a connection service quality prediction request sent by a car networking application, wherein the connection service quality prediction request carries a connection service quality prediction configuration requirement configured by the car networking application;
  • the second sending module is configured to send feedback information to the Internet of Vehicles application, wherein the feedback information indicates whether the wireless communication system receives the processing result of the connection service quality prediction configuration requirement;
  • a second determining module configured to determine a first connection service quality prediction parameter between the car networking application and the wireless communication system according to the feedback information
  • a collection module configured to perform data collection according to the first connection service quality prediction parameter during the connection service quality prediction process corresponding to the Internet of Vehicles application, and form a prediction report;
  • the third sending module is configured to feed back the prediction report to the Internet of Vehicles application.
  • each of the above modules can be implemented by software or hardware.
  • it can be implemented in the following manner, but not limited to this: the above modules are all located in the same processor; or, the above modules are combined in any combination The forms are located in different processors.
  • the embodiment of the present application also provides a storage medium.
  • the foregoing storage medium may be configured to store program code for executing the following steps:
  • connection service quality prediction request carries the connection service quality prediction configuration requirements of the Internet of Vehicles application configuration
  • the foregoing storage medium may include, but is not limited to: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk Various media that can store program codes, such as discs or optical discs.
  • the embodiment of the present application also provides an electronic device, including a memory and a processor, the memory is stored with a computer program, and the processor is configured to run the computer program to execute the steps in any of the foregoing method embodiments.
  • the aforementioned electronic device may further include a transmission device and an input-output device, wherein the transmission device is connected to the aforementioned processor, and the input-output device is connected to the aforementioned processor.
  • the foregoing processor may be configured to execute the following steps through a computer program:
  • connection service quality prediction request carries the connection service quality prediction configuration requirements of the Internet of Vehicles application configuration
  • modules or steps of this application can be implemented by a general computing device, and they can be concentrated on a single computing device or distributed in a network composed of multiple computing devices.
  • they can be implemented with program codes executable by the computing device, so that they can be stored in the storage device for execution by the computing device, and in some cases, can be executed in a different order than here.

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Abstract

本申请提供了一种连接服务质量的预测方法及装置，其中，该方法包括：车联网应用向无线通信系统发送连接服务质量预测请求，接收所述无线通信系统的反馈信息，依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数，接收所述无线通信系统反馈的预测报告，采用上述方案，车联网应用与无线通信系统进行连接服务质量预测参数的协商，即实现了针对不同的车联网应用定制不同的预测信息，避免浪费资源，合理利用资源，解决了相关技术中不同的车联网应用接收到的预测信息相同导致的资源浪费的问题。

Description

连接服务质量的预测方法及装置 技术领域
本申请涉及但不限于车联网领域，具体而言，涉及一种连接服务质量的预测方法及装置。
背景技术
在相关技术中，无线通信系统为万物互联提供了随时随地的基础连接能力。随着无线技术在车车，车路，车人，车云之间的逐步应用，车联网将极大地提升驾驶安全，提高交通效率，节能减排，促进城市绿色共享出行。
在无线通信系统所提供的连接服务逐步成为车联网应用基础支撑时，能够有效精准地提供连接服务预测对于车联网应用越来越关键，甚至成为车联网能否被行业认同的关键能力。通过连接服务预测，车联网应用(例如自动驾驶，智能交通系统)提前获取未来一段时间某个地理区域通信连接所能达到的能力，以及该能力的变化情况，将帮助该车联网应用能够提前计算和调整工作模式，以保证驾驶安全或者业务可用。
但是对连接服务进行预测，需要消耗无线通信系统的连接、存储、计算等各种资源。需要预测的内容越多，精度越高，提前量越大，覆盖区域越大，则所需连接、存储、计算的资源越多。而不同的车联网应用所需要的预测种类、精度、区域、预测刷新频率、预测提前量等并不一样，如果用同样的预测内容提供给不同的车联网应用，多余的预测信息一方面无用另一方面浪费系统资源；而缺少的预测信息可能是业务运行的关键信息可能导致业务无法进行。
针对相关技术中不同的车联网应用接收到的预测信息相同导致的资源浪费的问题，目前还没有有效的解决方案。
发明内容
本申请实施例提供了一种连接服务质量的预测方法及装置，以至少解决相关技术中不同的车联网应用接收到的预测信息相同导致的资源浪费的问题。
根据本申请的一个实施例，还提供了一种连接服务质量的预测方法，包括：车联网应用向无线通信系统发送连接服务质量预测请求，其中，所述连接服务质量预测请求中携带有所述车联网应用配置的连接服务质量预测配置需求；接收所述无线通信系统的反馈信息，其中，所述反馈信息中指示有所述无线通信系统是否接收所述连接服务质量预测配置需求的处理结果；依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数，其中，所述第一连接服务质量预测参数用于所述无线通信系统对所述车联网应用的连接服务质量预测过程中；接收所述无线通信系统反馈的预测报告，其中，所述预测报告是所述无线通信系统执行所述连接服务质量预测过程中按照所述连接服务质量预测参数进行数据采集的结果。
根据本申请的另一个实施例，还提供了一种连接服务质量的预测方法，包括：无线通信系统接收车联网应用发送的连接服务质量预测请求，其中，所述连接服务质量预测请求中携带有所述车联网应用配置的连接服务质量预测配置需求；向所述车联网应用发送反馈信息，其中，所述反馈信息中指示有所述无线通信系统是否接收所述连接服务质量预测配置需求的处理结果；依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数；所述无线通信系统在与所述车联网应用对应的连接服务质量预测过程中，按照所述第一连接服务质量预测参数进行数据采集，并形成预测报告；向所述车联网应用反馈所述预测报告。
根据本申请的另一个实施例，还提供了一种连接服务质量的预测装置，用于车联网应用，包括：第一发送模块，设置为向无线通信系统发送连接服务质量预测请求，其中，所述连接服务质量预测请求中携带有所述车联网应用配置的连接服务质量预测配置需求；第一接收模块，设置为接收所述无线通信系统的反馈信息，其中，所述反馈信息中指示有所述无线通信 系统是否接收所述连接服务质量预测配置需求的处理结果；第一确定模块，设置为依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数，其中，所述第一连接服务质量预测参数用于所述无线通信系统对所述车联网应用的连接服务质量预测过程中；第二接收模块，设置为接收所述无线通信系统反馈的预测报告，其中，所述预测报告是所述无线通信系统执行所述连接服务质量预测过程中按照所述连接服务质量预测参数进行数据采集的结果。
根据本申请的另一个实施例，还提供了一种连接服务质量的预测装置，用于无线通信系统，包括：第三接收模块，设置为接收车联网应用发送的连接服务质量预测请求，其中，所述连接服务质量预测请求中携带有所述车联网应用配置的连接服务质量预测配置需求；第二发送模块，设置为向所述车联网应用发送反馈信息，其中，所述反馈信息中指示有所述无线通信系统是否接收所述连接服务质量预测配置需求的处理结果；第二确定模块，设置为依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数；采集模块，设置为在与所述车联网应用对应的连接服务质量预测过程中，按照所述第一连接服务质量预测参数进行数据采集，并形成预测报告；第三发送模块，设置为向所述车联网应用反馈所述预测报告。
根据本申请的又一个实施例，还提供了一种存储介质，所述存储介质中存储有计算机程序，其中，所述计算机程序被设置为运行时执行上述任一项方法实施例中的步骤。
根据本申请的又一个实施例，还提供了一种电子装置，包括存储器和处理器，所述存储器中存储有计算机程序，所述处理器被设置为运行所述计算机程序以执行上述任一项方法实施例中的步骤。
通过本申请上述实施例，车联网应用向无线通信系统发送连接服务质量预测请求，其中，所述连接服务质量预测请求中携带有所述车联网应用配置的连接服务质量预测配置需求；接收所述无线通信系统的反馈信息， 其中，所述反馈信息中指示有所述无线通信系统是否接收所述连接服务质量预测配置需求的处理结果；依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数，其中，所述第一连接服务质量预测参数用于所述无线通信系统对所述车联网应用的连接服务质量预测过程中；接收所述无线通信系统反馈的预测报告，其中，所述预测报告是所述无线通信系统执行所述连接服务质量预测过程中按照所述连接服务质量预测参数进行数据采集的结果。采用上述方案，车联网应用与无线通信系统进行连接服务质量预测参数的协商，即实现了针对不同的车联网应用定制不同的预测信息，避免浪费资源，合理利用资源，解决了相关技术中不同的车联网应用接收到的预测信息相同导致的资源浪费的问题。
附图说明
此处所说明的附图用来提供对本申请的进一步理解，构成本申请的一部分，本申请的示意性实施例及其说明用于解释本申请，并不构成对本申请的不当限定。在附图中：
图1是本申请实施例的一种连接服务质量的预测方法的移动终端的硬件结构框图；
图2是根据本申请实施例的连接服务质量的预测方法的流程图；
图3是根据本申请实施例的无线通信系统分别与各种车联网应用交互示意图一；
图4是根据本申请实施例的无线通信系统分别与各种车联网应用交互示意图二；
图5是根据本申请实施例的连接服务质量预测配置流程图；
图6是根据本申请实施例的由车联网应用启动连接服务质量预测的流程图；
图7是根据本申请实施例的连接服务质量预测终止流程图。
具体实施方式
下文中将参考附图并结合实施例来详细说明本申请。需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。
需要说明的是，本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。
相关技术中第三代移动通信技术3GPP TR23.786中讨论了基于路径的服务质量QoS资源预定的方案，以保证在未来某个时间窗某条路径上，网络能够为车联网应用，提供所需连接服务质量。该方法主要基于车联网应用给出的连接服务质量需求以及规划路径，未来的时间窗口，判断是否能资源预留，从而给出是否支持该连接质量服务需求以及对应可信度的响应。但是实际上车载终端给出的连接服务质量需求可能会不断变化，如果无线通信系统能够提供更精确和详细的连接服务质量预测信息，而不仅仅是“能支持”或者“不能支持”，则车联网应用可以利用这些信息，调整相关的感知算法，自动驾驶算法等。
3GPP TR23.786进一步讨论了潜在的QoS改变通知方案。车联网应用可以要求无线通信系统在连接服务质量发生变化时，通知车联网应用，以便车联网应用可以调整。该方法主要根据车联网应用要求，由无线通信系统检测到连接服务质量发生变化时，通知车联网应用。该方案主要提供已经发生的连接服务质量变化，无法提供对未来网络连接服务的预测。而且对车联网应用提供的是统一的通知，无法做定制化信息提供。
实施例一
本申请实施例中提供了一种移动通信网络(包括但不限于5G移动通信网络)，该网络的网络架构可以包括网络侧设备(例如基站)和终端。在本实施例中提供了一种可运行于上述网络架构上的连接服务质量的预 测方法，需要说明的是，本申请实施例中提供的上述信息传输方法的运行环境并不限于上述网络架构。
本申请实施例一所提供的方法实施例可以在移动终端、计算机终端或者类似的运算装置中执行。以运行在移动终端上为例，图1是本申请实施例的一种连接服务质量的预测方法的移动终端的硬件结构框图，如图1所示，移动终端可以包括一个或多个(图1中仅示出一个)处理器102(处理器102可以包括但不限于微处理器MCU或可编程逻辑器件FPGA等的处理装置)和用于存储数据的存储器104，可选地，上述移动终端还可以包括用于通信功能的传输装置106以及输入输出设备108。本领域普通技术人员可以理解，图1所示的结构仅为示意，其并不对上述移动终端的结构造成限定。例如，移动终端还可包括比图1中所示更多或者更少的组件，或者具有与图1所示不同的配置。
存储器104可设置为存储应用软件的软件程序以及模块，如本申请实施例中的连接服务质量的预测方法对应的程序指令/模块，处理器102通过运行存储在存储器104内的软件程序以及模块，从而执行各种功能应用以及数据处理，即实现上述的方法。存储器104可包括高速随机存储器，还可包括非易失性存储器，如一个或者多个磁性存储装置、闪存、或者其他非易失性固态存储器。在一些实例中，存储器104可进一步包括相对于处理器102远程设置的存储器，这些远程存储器可以通过网络连接至移动终端。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
传输装置106设置为经由一个网络接收或者发送数据。上述的网络具体实例可包括移动终端的通信供应商提供的无线网络。在一个实例中，传输装置106包括一个网络适配器(Network Interface Controller，NIC)，其可通过基站与其他网络设备相连从而可与互联网进行通讯。在一个实例中，传输装置106可以为射频(Radio Frequency，RF)模块，其用于通过无线方式与互联网进行通讯。
在本实施例中提供了一种运行于上述移动终端的连接服务质量的预测方法，图2是根据本申请实施例的连接服务质量的预测方法的流程图，如图2所示，该流程包括如下步骤：
步骤S202，车联网应用向无线通信系统发送连接服务质量预测请求，其中，所述连接服务质量预测请求中携带有所述车联网应用配置的连接服务质量预测配置需求；
步骤S204，接收所述无线通信系统的反馈信息，其中，所述反馈信息中指示有所述无线通信系统是否接收所述连接服务质量预测配置需求的处理结果；
步骤S206，依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数，其中，所述第一连接服务质量预测参数用于所述无线通信系统对所述车联网应用的连接服务质量预测过程中；
步骤S208，接收所述无线通信系统反馈的预测报告，其中，所述预测报告是所述无线通信系统执行所述连接服务质量预测过程中按照所述连接服务质量预测参数进行数据采集的结果。
采用上述方案，车联网应用与无线通信系统进行连接服务质量预测参数的协商，即实现了针对不同的车联网应用定制不同的预测信息，避免浪费资源，合理利用资源，解决了相关技术中不同的车联网应用接收到的预测信息相同导致的资源浪费的问题。
可选地，上述步骤的执行主体可以为安装有车联网应用的终端或者车辆等，但不限于此。
可选地，所述连接服务质量预测请求中携带有所述车联网应用配置的连接服务质量预测配置需求，包括以下至少之一：所需预测的时间起止，所需预测的规划路径，预测上报的时间提前量，预测上报的距离提前量，目标区域所需上报的一个或者多个连接服务指标，所述无线通信系统提供的连接服务质量预测报告的可信度，所述无线通信系统上报预测信息的精 度，预测信息的上报条件，预测信息的上报频率。
上述预测时间起止是指连接服务质量预测启动和终止的绝对时间，可以是起始时间与持续时间的组合，也可以是起始时间与终止绝对时间的组合；
上述预测的规划路径是指该车联网应用提供的路径规划，包括一个或多个地理标识和预计经过地理标识时的时刻；
上述预测上报时间提前量是指，提前多长时间在预计到达规划路径地理标识的时刻，向车联网应用上报连接服务质量预测信息；
上述预测上报的距离提前量是指根据路径规划，需要在地理标识前多少距离向车联网应用上报连接服务质量预测信息；
上述目标区域所需上报的一个或者多个连接服务指标，包含时延、可靠性、可用性、吞吐量、覆盖、容量等；
上述提供的连接服务质量预测的可信度，可以是针对每个连接服务指标的可信区间，也可以是连接服务质量预测信息的总体可信区间；
上述预测信息的精度，针对每个所需上报的连接服务质量指标数值的精确度；
上述预测信息的上报/更新条件或者频率，在上述起止时间内，上报连接服务质量指标变化超过阈值则上报或者更新；或者在上述起止时间内，按照配置的更新频率上报预测信息。
可选地，车联网应用向无线通信系统发送连接服务质量预测请求，包括，所述连接服务质量预测请求中还携带有所述车联网应用的应用ID；车联网应用向无线通信系统发送连接服务质量预测请求，包括：所述车联网应用通过调用无线通信系统的应用程序接口API向所述无线通信系统配置所述连接服务质量预测请求中的内容；接收所述无线通信系统的反馈信息，包括：所述车联网应用通过所述无线通信系统的API接收所述反馈信息。
可选地，所述反馈信息中指示有所述无线通信系统是否接收所述连接服务质量预测配置需求的处理结果，包括以下至少之一：所述反馈信息为全部接受，用于指示所述无线通信系统接受全部所述连接服务质量预测配置需求；所述反馈信息为部分接受，用于指示所述无线通信系统部分接受所述连接服务质量预测配置需求；所述反馈信息为不接受，用于指示所述无线通信系统不接受所述连接服务质量预测配置需求。
可选地，所述方法还包括：在所述反馈信息为部分接受时，所述反馈信息中还携带有所述无线通信系统支持的第二连接服务质量预测参数；其中，所述第二连接服务质量预测参数包括以下之一：所需预测的时间起止，所需预测的规划路径，预测上报的时间提前量，预测上报的距离提前量，目标区域所需上报的一个或者多个连接服务指标，所述无线通信系统提供的连接服务质量预测报告的可信度，所述无线通信系统上报预测信息的精度，预测信息的上报条件，预测信息的上报频率。
可选地，依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数，包括以下之一：在所述反馈信息为全部接受时，确定所述连接服务质量预测配置需求为所述第一连接服务质量预测参数，在所述反馈信息为部分接受，且所述车联网应用接受所述第二连接服务质量预测参数时，将所述第二连接服务质量预测参数作为所述第一连接服务质量预测参数，并向所述无线通信系统反馈所述车联网应用接受所述第二连接服务质量预测参数；在所述反馈信息为部分接受，且所述车联网应用不接受所述第二连接服务质量预测参数时，向所述无线通信系统反馈所述车联网应用不接受所述第二连接服务质量预测参数；在所述反馈信息为不接受时，所述车联网应用通知所述无线通信系统本次关于连接服务质量预测参数的协商无效。
可选地，接收所述无线通信系统反馈的预测报告之前，所述车联网应用向所述无线通信系统发送所述连接服务质量预测过程启动消息；接收所述无线通信系统反馈的预测报告之后，所述车联网应用向所述无线通信系统发送用于终止所述连接服务质量预测过程的第一终止消息，或者，所述 车联网应用通过调用应用程序接口API终止所述连接服务质量预测过程，或者，所述车联网应用接收到所述无线通信系统发送的用于终止所述连接服务质量预测过程的第二终止消息。第一终止消息或第二终止消息中包括，车联网应用ID，以及终止原因，终止原因例如无线通信系统的网络堵塞严重等。
可选地，接收所述无线通信系统反馈的预测报告之后，在所述车联网应用检测到所述第一连接服务质量预测参数需要更新时，执行以下方案之一：向所述无线通信系统发送连接服务质量预测过程终止消息，以及向所述无线通信系统更新所述第一连接服务质量预测参数；为所述无线通信系统配置更新后的第一连接服务质量预测参数的有效起始时间，其中，在到达所述有效起始时间时，依据所述更新后的第一连接服务质量预测参数进行数据采集。
根据本申请的另一个实施例，还提供了一种连接服务质量的预测方法，包括以下步骤：
步骤一，无线通信系统接收车联网应用发送的连接服务质量预测请求，其中，所述连接服务质量预测请求中携带有所述车联网应用配置的连接服务质量预测配置需求；
步骤二，向所述车联网应用发送反馈信息，其中，所述反馈信息中指示有所述无线通信系统是否接收所述连接服务质量预测配置需求的处理结果；
步骤三，依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数；
步骤四，所述无线通信系统在与所述车联网应用对应的连接服务质量预测过程中，按照所述第一连接服务质量预测参数进行数据采集，并形成预测报告；
步骤五，向所述车联网应用反馈所述预测报告。
采用上述方案，车联网应用与无线通信系统进行连接服务质量预测参 数的协商，即实现了针对不同的车联网应用定制不同的预测信息，避免浪费资源，合理利用资源，解决了相关技术中不同的车联网应用接收到的预测信息相同导致的资源浪费的问题。
可选地，向所述车联网应用发送反馈信息，包括：依据预设或者向策略服务器动态请求的策略，判断所述无线通信系统是否支持所述连接服务质量预测配置需求。
可选地，向所述车联网应用发送反馈信息，其中，所述反馈信息中指示有所述无线通信系统是否接收所述连接服务质量预测配置需求的处理结果，包括：在所述反馈信息为部分接受时，所述反馈信息中还携带有所述无线通信系统支持的第二连接服务质量预测参数，其中，所述第二连接服务质量预测参数是预设的或者向策略服务器动态请求的；其中，所述第二连接服务质量预测参数包括以下之一：所需预测的时间起止，所需预测的规划路径，预测上报的时间提前量，预测上报的距离提前量，目标区域所需上报的一个或者多个连接服务指标，所述无线通信系统提供的连接服务质量预测报告的可信度，所述无线通信系统上报预测信息的精度，预测信息的上报条件，预测信息的上报频率。
可选地，依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数，包括以下之一：在所述反馈信息为全部接受时，确定所述连接服务质量预测配置需求为所述第一连接服务质量预测参数；在所述反馈信息为部分接受，且所述车联网应用接受所述第二连接服务质量预测参数时，接收所述车联网应用反馈的用于指示接受所述第二连接服务质量预测参数的反馈信息，并将所述第二连接服务质量预测参数作为所述第一连接服务质量预测参数；在所述反馈信息为部分接受，且所述车联网应用不接受所述第二连接服务质量预测参数时，接收所述车联网应用反馈的不接受所述第二连接服务质量预测而参数的反馈信息；在所述反馈信息为不接受时，接收到所述车联网应用通知的本次关于连接服务质量预测参数的协商无效的通知信息。
可选地，所述无线通信系统在与所述车联网应用对应的连接服务质量预测过程中，按照所述第一连接服务质量预测参数进行数据采集，并形成预测报告之前，通过以下方式之一启动所述连接服务质量预测过程：接收所述车联网应用发送的用于启动所述连接服务质量预测过程的启动消息；在满足所述第一连接服务质量预测参数中包括的启动条件时，自动启动所述连接服务质量预测过程。
可选地，所述无线通信系统在与所述车联网应用对应的连接服务质量预测过程中，按照所述第一连接服务质量预测参数进行数据采集，并形成预测报告之前，在启动所述连接服务质量预测过程时未检测到连接服务质量预测参数时，所述无线通信系统向启动该连接服务预测过程的车联网应用请求一套连接服务质量预测参数，或者请求所述车联网应用从预配置连接服务质量预测参数中选择一套。
可选地，向所述车联网应用反馈所述预测报告，包括：所述预测报告包含以下至少之一：车联网应用ID，时间标识，预测的连接服务质量相关指标估计区间，预测信息的可信区间，预测适用的地理区域，预测适用的时间区间，预测信息对应基站位置等。
可选地，向所述车联网应用反馈所述预测报告之后，所述方法还包括以下之一：接收到所述车联网应用发送的用于终止所述连接服务质量预测过程的第一终止消息；向所述车联网应用发送用于终止所述连接服务质量预测过程的第二终止消息；在检测到满足所述第一连接服务质量预测参数中包括的终止条件时，自动终止所述连接服务质量预测过程。
下面结合本申请另一个实施例进行说明。
本申请所要解决的技术问题是：克服相关技术中存在的无法根据车联网不同业务的需求按需提供连接服务预测信息，提供一种有效提供无线通信系统连接服务质量预测信息的方法。
本申请所述的一种有效提供无线通信系统连接服务质量预测信息的方法包括以下内容：
连接服务质量预测功能可以由一个单独的网元支持，也可以由多个网元协作支持；既可以属于无线通信系统，也可以与无线通信系统协作实施连接服务质量预测功能。无线通信系统与车联网应用之间建立接口交互相关连接服务质量预测需求和连接服务质量预测报告。
不同的车联网应用根据业务需求，能够分别独立配置对所需无线通信连接服务质量预测信息，可以配置的内容包括但不限于：所需预测的时间起止，所需预测的规划路径，预测上报时间提前量，预测上报的距离提前量，目标区域所需上报的一个或者多个连接服务指标，提供的连接服务质量预测的可信度，上报预测信息的精度，预测信息的上报/更新条件或者频率等。
上述预测时间起止是指连接服务质量预测启动和终止的绝对时间，可以是起始时间与持续时间的组合，也可以是起始时间与终止绝对时间的组合；
上述预测的规划路径是指该车联网应用提供的路径规划，包括一个或多个地理标识和预计经过地理标识时的时刻；
上述预测上报时间提前量是指，提前多长时间在预计到达规划路径地理标识的时刻，向车联网应用上报连接服务质量预测信息；
上述预测上报的距离提前量是指根据路径规划，需要在地理标识前多少距离向车联网应用上报连接服务质量预测信息；
上述目标区域所需上报的一个或者多个连接服务指标，包含时延、可靠性、可用性、吞吐量、覆盖、容量等；
上述提供的连接服务质量预测的可信度，可以是针对每个连接服务指标的可信区间，也可以是连接服务质量预测信息的总体可信区间；
上述预测信息的精度，针对每个所需上报的连接服务质量指标数值的精确度；
上述预测信息的上报/更新条件或者频率，在上述起止时间内，上报连接服务质量指标变化超过阈值则上报或者更新；或者在上述起止时间内， 按照配置的更新频率上报预测信息。
车联网应用发送连接服务质量预测信息配置消息，至少携带对应的应用ID，一个或多个上述参数给无线通信系统。
车联网应用也可以调用无线通信系统提供的API，对连接服务质量预测参数进行配置。
无线通信系统收到该信息后，无线通信系统根据相关策略，确定所述连接服务质量预测配置需求能否接受。
--如果接受，则向该车联网应用回复接受。
--如果不接受，则向车联网应用回复不支持。
--如果部分接受，则无线通信系统需要向车联网应用回复能够支持的连接服务质量预测配置参数内容。此时车联网应用如果能接受调整后的连接服务质量预测配置，则向无线通信网络回复接受。如果车联网应用不能接受，则通知无线通信系统，连接服务质量预测参数协商无效。
上述相关策略，可以预先配置，也可以向无线通信系统的策略服务器动态请求。
部分接受时，能够支持的连接服务质量预测配置参数内容可以预先配置，也可以向无线通信系统的策略服务器动态请求。
无线通信系统通过连接服务质量预测参数配置响应消息回复上述信息。该响应消息至少应该携带是否接受，还是部分接受，如果是部分接受，需要携带调整后的连接服务质量预测配置参数。
无线通信系统也可以通过API反馈是否接受该配置参数。
车联网应用收到调整后的连接服务质量预测配置参数后，如果可以接受，则通过连接服务质量预测参数配置响应消息回复是否接受，如果不接受，则上述配置参数无效。
车联网应用也可以通过调用API接口，反馈是否接受。
在无线通信系统启动时，可以有一套或者几套预先配置的连接服务质 量预测参数。不同的车联网应用可以通过调用API接口选择其中一套连接服务质量预测参数。
连接服务质量预测过程可以由某个车联网应用通过连接服务质量预测启动消息启动。
连接服务质量预测过程也可以根据某个车联网应用配置的连接服务质量预测参数中设定的启动条件，自动启动。
连接服务质量预测过程也可以由某个车联网应用通过API调用接口启动。
如果启动时，没有对应该车联网应用的连接服务质量预测参数，则无线通信系统需要向启动该功能的车联网应用请求连接服务质量预测参数，或者要求该车联网应用从预配置的参数中选择一套。该过程既可以用消息请求的方式，也可以通过API接口。
启动和配置参数可以连续进行，也可以分别独立进行。
连接服务质量预测功能启动后，无线通信系统按照已经协商好的连接服务质量预测参数进行数据采集处理和汇报；无线通信系统可以通过连接服务质量预测报告向车联网应用传递相关预测信息，也可以通过API接口反馈相关预测信息。
该预测报告根据预测参数设置，包含一个或多个以下信息：应用ID，时间标识，预测的连接服务质量相关指标估计区间，预测信息的可信区间，预测适用的地理区域，预测适用的时间区间，预测信息对应基站位置等。
连接服务质量预测过程可以由对应的车联网应用根据需要发起终止，也可以由无线通信系统发起终止。
车联网应用通过发送连接服务质量预测终止消息发起终止，该终止消息至少携带对应的应用ID，终止原因等。无线通信系统通过发送连接服务质量预测终止消息发起终止。该终止消息里至少携带对应的应用ID，终止原因等。
连接服务质量预测也可以根据车联网应用配置的连接服务质量预测参数中设定的终止条件，自动终止连接服务质量预测过程。
连接服务质量预测过程也可以由某个车联网应用通过API调用接口终止。
当车联网应用需要修改连接服务质量预测参数时，可以先终止现有的连接服务质量预测过程，然后开始配置新的无线通信连接服务质量预测信息。也可以配置新的无线通信连接服务质量预测信息时确定有效起始时间，在该时间到达时，终止现有预测过程，按照新配置的无线通信连接服务质量参数开始预测过程。
本申请所述一种有效提高无线通信系统连接服务质量预测的装置(系统)包括以下模块：
连接服务质量预测功能
支持连接服务质量预测功能的无线通信系统，该连接服务质量预测功能既可以全部由无线通信系统实现；也可以是一个独立功能，与无线通信系统协作完成相关预测功能。
各种车联网应用系统。
如果连接服务质量预测功能是独立于无线通信系统，则连接服务质量预测功能与无线通信系统之间有信息交互接口，用来传递各种配置参数以及预测报告信息。
无线通信系统与车联网应用之间有信息交互接口。通过该接口，各种车联网应用系统可以分别独立与无线通信系统交互，配置、修改连接服务质量预测参数，启动、终止连接服务质量预测功能；而无线通信系统向不同的车联网应用按需提供连接服务质量预测信息。具体的方法参见上述技术方案描述。
图3是根据本申请实施例的无线通信系统分别与各种车联网应用交互示意图一，无线通信系统包括策略服务器和连接服务质量预测功能，与车联网应用A，B，X等进行预测参数配置/协商/报告，其中连接服务质量 预测功能由无线通信系统实现。通过无线通信系统与车联网应用之间的接口，配置、修改连接服务质量预测参数，启动、终止连接服务质量预测功能，无线通信系统向车联网应用按需提供连接服务质量预测信息。如图3所示，连接服务质量预测功能可以属于无线通信系统。无线通信系统与车联网应用之间建立接口交互相关连接服务质量预测需求和连接服务质量预测报告。
图4是根据本申请实施例的无线通信系统分别与各种车联网应用交互示意图二，无线通信系统包括策略服务器，其中连接服务质量预测功能与无线通信系统协作完成相关数据采集、预测处理、预测信息上报等功能。通过无线通信系统与车联网应用之间的接口，配置、修改连接服务质量预测参数，启动、终止连接服务质量预测功能，无线通信系统向车联网应用按需提供连接服务质量预测信息。如图4所示，连接服务质量预测功能可以不属于无线通信系统。它与无线通信系统之间建立接口，交互相关数据采集、预测处理结果。无线通信系统与车联网应用之间建立接口交互相关连接服务质量预测需求和连接服务质量预测报告。
图5是根据本申请实施例的连接服务质量预测配置流程图，不同的车联网应用根据业务需求，通过发送连接服务质量预测配置，分别独立进行连接服务质量预测信息的配置。无线通信系统收到该信息后，根据相关策略，确定所述连接服务质量预测配置需求能否接受，并发送连接服务质量预测信息配置响应，其中包括以下情况：
--如果无线通信系统接受，则向该车联网应用回复接受。
--如果无线通信系统不接受，则向车联网应用回复不支持。
--如果无线通信系统部分接受，则无线通信系统需要向车联网应用回复能够支持的连接服务质量预测配置参数内容，即调整后的配置参数。
此时车联网应用收到响应内容，判断是否指示有无线通信系统部分接受，如果否，则配置结束；如果是，则向无线通信系统反馈连接服务质量预测信息配置响应，其中指示有车联网应用是否接受调整后的配置参数， 即如果车联网应用能接受调整后的连接服务质量预测配置，则向无线通信网络回复接受。如果车联网应用不能接受，则通知无线通信系统，连接服务质量预测参数协商无效。
图6是根据本申请实施例的由车联网应用启动连接服务质量预测的流程图，如图6所示，车联网应用发送连接服务质量预测启动消息，无线通信系统检测是否有对应的预测参数，如果是，则完成启动；如果否，则无线通信系统需要向启动该功能的车联网应用请求连接服务质量预测参数，或者要求该车联网应用从预配置的参数中选择一套；后续无线通信系统接收到车联网应用发送的连接服务质量预测信息配置信息。该过程既可以用消息请求的方式，也可以通过API接口进行请求启动。
图7是根据本申请实施例的连接服务质量预测终止流程图，连接服务质量预测过程可以由对应的车联网应用根据需要发起终止，也可以由无线通信系统发起终止。即可以由车联网应用发送连接服务质量预测终止消息至无线通信系统，终止预测过程，也可以由无线通信系统发起连接服务质量预测终止消息，来终止预测过程。
车联网应用A根据业务需求，以及与无线通信系统签约，通过连接服务质量预测配置消息，向无线通信系统提出配置请求。所需配置的参数为：需要预测的时间起止(例如4pm～6pm)；所需预测的规划路径(高速公路上多个地标经纬度)；预测上报时间提前量10分钟；需要预测的连接服务质量预测指标为时延、丢包率、数据吞吐量；可信度要求精确到小数点后4位；预测信息的上报频率为20Hz。
车联网应用B根据业务需求，以及与无线通信系统签约，调用无线通信系统提供的API配置连接服务质量预测信息，配置的参数为：需要预测的时间起止(北京时间今天4pm～6pm)；所需预测的规划路径(以位置L1为中心直径5km区域)；预测上报时间提前量1分钟；预测上报的距离提前量100m；需要预测的连接服务质量预测指标为数据吞吐量和丢包率；可信度要求精确到小数点后3位；预测信息的上报频率为1Hz。
车联网应用C调用无线通信系统提供的API配置连接服务质量预测信息，该API提供了以下可配置的参数：需要预测的时间起止(北京时间今天4pm～6pm)；所需预测的规划路径(区域中心经纬度，区域半径)；预测上报时间提前量xx，单位分钟或者秒；按照应用与无线通信系统签约，可供该应用选择的可预测连接服务质量指标为：数据吞吐量和丢包率；可信度要求精确到小数点后3位；预测信息的上报频率为1Hz。
无线通信系统收到三个车联网应用发送的预测参数配置信息后，根据相关策略，确定所述连接服务质量预测配置需求能否接受。
--如果接受，则向该车联网应用回复接受。
--如果不接受，则向车联网应用回复不支持。
--如果部分接受，则无线通信系统需要向车联网应用回复能够支持的连接服务质量预测配置参数内容。此时车联网应用如果能接受调整后的连接服务质量预测配置，则向无线通信网络回复接受。如果车联网应用不能接受，则通知无线通信系统，连接服务质量预测参数协商无效。
上述相关策略，可以预先配置，也可以向无线通信系统的策略服务器动态请求。
部分接受时，能够支持的连接服务质量预测配置参数内容可以预先配置，也可以向无线通信系统的策略服务器动态请求。
无线通信系统通过连接服务质量预测参数配置响应消息回复给车联网应用A。该响应消息携带信息为接受。
无线通信系统通过调用API接口回复响应信息给车联网应用B。该响应消息携带信息为不接受，且携带相关原因。之后无线通信系统与车联网应用B可以重新开始预测参数配置过程。
无线通信系统通过调用API接口回复响应信息给车联网应用C。该响应消息携带信息为部分接受，以及调整后的连接服务质量预测配置参数。车联网应用C收到调整后的连接服务质量预测配置参数后，调用API接口回复接受调整后的预测配置参数。
车联网应用A发送连接服务质量预测启动消息给无线通信系统。
对应车联网应用C的连接服务质量预测过程根据预测配置参数自动启动。
车联网应用B通过API调用接口启动预测过程。此时应用B没有对应该车联网应用的连接服务质量预测参数，则无线通信系统需要向车联网应用B请求连接服务质量预测参数，或者要求该车联网应用从预配置的参数中选择一套。
启动和配置参数可以连续进行，也可以分别独立进行。
连接服务质量预测功能启动后，无线通信系统按照已经协商好的连接服务质量预测参数进行数据采集处理和汇报；
无线通信系统通过连接服务质量预测报告向车联网应用A每秒50次传递连接服务质量预测信息：应用ID，时间标识，预测的连接服务质量指标(时延、丢包率、数据吞吐量；可信度精确到小数点后4位)，高速公路经纬度，预测适用的时间区间，预测信息对应基站位置。
无线通信系统通过API接口每秒1次向车联网应用B反馈相关预测信息：应用ID，时间标识，预测的连接服务质量指标(数据吞吐量和丢包率；可信度精确到小数点后2位)，预测适用的时间区间，预测信息对应基站位置。
无线通信系统通过API接口向车联网应用C反馈相关预测信息：应用ID，时间标识，预测的连接服务质量指标(数据吞吐量和丢包率；可信度精确到小数点后3位)，预测适用的时间区间，预测适用的地理区域中心位置，预测信息对应基站位置。
连接服务质量预测过程可以由对应的车联网应用根据需要发起终止，也可以由无线通信系统发起终止。
无线通信系统向车联网应用A发送连接服务质量预测终止消息，该终止消息携带对应的应用ID，终止原因。
车联网应用B调用API终止连接服务质量预测过程，携带终止原因等信息。
对应车联网应用C的连接服务质量预测过程，根据车联网应用配置的连接服务质量预测参数中设定的终止条件(例如时间终止)，自动终止连接服务质量预测过程。
在连接服务质量预测过程执行期间，车联网应用B需要修改连接服务质量预测参数时，先终止现有的连接服务质量预测过程，然后开始配置新的无线通信连接服务质量预测信息。
车联网应用B也可以配置新的无线通信连接服务质量预测信息时确定有效起始时间，在该时间到达时，终止现有预测过程，按照新配置的无线通信连接服务质量参数开始预测过程。
采用上述方案，与相关技术相比，能够针对不同车联网应用配置所需的连接服务质量预测参数，以根据不同应用的需求优化连接服务质量预测内容；本申请所述方法支持预测功能的启动、预测内容设置、定义预测上报机制、预测终止、预测参数修改等。能够有效减少在连接服务质量预测过程中对无线通信系统所需通信、存储、计算资源的消耗，按需定制，有效利用资源针对性地为车联网应用提供服务。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到根据上述实施例的方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端设备(可以是手机，计算机，服务器，或者网络设备等)执行本申请各个实施例所述的方法。
实施例二
在本实施例中还提供了一种连接服务质量的预测装置，该装置用于实 现上述实施例及优选实施方式，已经进行过说明的不再赘述。如以下所使用的，术语“模块”可以实现预定功能的软件和/或硬件的组合。尽管以下实施例所描述的装置较佳地以软件来实现，但是硬件，或者软件和硬件的组合的实现也是可能并被构想的。
根据本申请的一个实施例，还提供了一种连接服务质量的预测装置，用于车联网应用，包括：
第一发送模块，设置为向无线通信系统发送连接服务质量预测请求，其中，所述连接服务质量预测请求中携带有所述车联网应用配置的连接服务质量预测配置需求；
第一接收模块，设置为接收所述无线通信系统的反馈信息，其中，所述反馈信息中指示有所述无线通信系统是否接收所述连接服务质量预测配置需求的处理结果；
第一确定模块，设置为依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数，其中，所述第一连接服务质量预测参数用于所述无线通信系统对所述车联网应用的连接服务质量预测过程中；
第二接收模块，设置为接收所述无线通信系统反馈的预测报告，其中，所述预测报告是所述无线通信系统执行所述连接服务质量预测过程中按照所述连接服务质量预测参数进行数据采集的结果。
根据本申请的另一个实施例，还提供了一种连接服务质量的预测装置，用于无线通信系统，包括：
第三接收模块，设置为接收车联网应用发送的连接服务质量预测请求，其中，所述连接服务质量预测请求中携带有所述车联网应用配置的连接服务质量预测配置需求；
第二发送模块，设置为向所述车联网应用发送反馈信息，其中，所述反馈信息中指示有所述无线通信系统是否接收所述连接服务质量预测配置需求的处理结果；
第二确定模块，设置为依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数；
采集模块，设置为在与所述车联网应用对应的连接服务质量预测过程中，按照所述第一连接服务质量预测参数进行数据采集，并形成预测报告；
第三发送模块，设置为向所述车联网应用反馈所述预测报告。
需要说明的是，上述各个模块是可以通过软件或硬件来实现的，对于后者，可以通过以下方式实现，但不限于此：上述模块均位于同一处理器中；或者，上述各个模块以任意组合的形式分别位于不同的处理器中。
实施例三
本申请的实施例还提供了一种存储介质。可选地，在本实施例中，上述存储介质可以被设置为存储用于执行以下步骤的程序代码：
S1，车联网应用向无线通信系统发送连接服务质量预测请求，其中，所述连接服务质量预测请求中携带有所述车联网应用配置的连接服务质量预测配置需求；
S2，接收所述无线通信系统的反馈信息，其中，所述反馈信息中指示有所述无线通信系统是否接收所述连接服务质量预测配置需求的处理结果；
S3，依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数，其中，所述第一连接服务质量预测参数用于所述无线通信系统对所述车联网应用的连接服务质量预测过程中；
S4，接收所述无线通信系统反馈的预测报告，其中，所述预测报告是所述无线通信系统执行所述连接服务质量预测过程中按照所述连接服务质量预测参数进行数据采集的结果。
可选地，在本实施例中，上述存储介质可以包括但不限于：U盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介 质。
本申请的实施例还提供了一种电子装置，包括存储器和处理器，该存储器中存储有计算机程序，该处理器被设置为运行计算机程序以执行上述任一项方法实施例中的步骤。
可选地，上述电子装置还可以包括传输装置以及输入输出设备，其中，该传输装置和上述处理器连接，该输入输出设备和上述处理器连接。
可选地，在本实施例中，上述处理器可以被设置为通过计算机程序执行以下步骤：
S1，车联网应用向无线通信系统发送连接服务质量预测请求，其中，所述连接服务质量预测请求中携带有所述车联网应用配置的连接服务质量预测配置需求；
S2，接收所述无线通信系统的反馈信息，其中，所述反馈信息中指示有所述无线通信系统是否接收所述连接服务质量预测配置需求的处理结果；
S3，依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数，其中，所述第一连接服务质量预测参数用于所述无线通信系统对所述车联网应用的连接服务质量预测过程中；
S4，接收所述无线通信系统反馈的预测报告，其中，所述预测报告是所述无线通信系统执行所述连接服务质量预测过程中按照所述连接服务质量预测参数进行数据采集的结果。
可选地，本实施例中的具体示例可以参考上述实施例及可选实施方式中所描述的示例，本实施例在此不再赘述。
可选地，本实施例中的具体示例可以参考上述实施例及可选实施方式中所描述的示例，本实施例在此不再赘述。
显然，本领域的技术人员应该明白，上述的本申请的各模块或各步骤可以用通用的计算装置来实现，它们可以集中在单个的计算装置上，或者 分布在多个计算装置所组成的网络上，可选地，它们可以用计算装置可执行的程序代码来实现，从而，可以将它们存储在存储装置中由计算装置来执行，并且在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤，或者将它们分别制作成各个集成电路模块，或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样，本申请不限制于任何特定的硬件和软件结合。
以上所述仅为本申请的优选实施例而已，并不用于限制本申请，对于本领域的技术人员来说，本申请可以有各种更改和变化。凡在本申请的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本申请的保护范围之内。

Claims (20)

  1. 一种连接服务质量的预测方法，包括：
    车联网应用向无线通信系统发送连接服务质量预测请求，其中，所述连接服务质量预测请求中携带有所述车联网应用配置的连接服务质量预测配置需求；
    接收所述无线通信系统的反馈信息，其中，所述反馈信息中指示有所述无线通信系统是否接收所述连接服务质量预测配置需求的处理结果；
    依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数，其中，所述第一连接服务质量预测参数用于所述无线通信系统对所述车联网应用的连接服务质量预测过程中；
    接收所述无线通信系统反馈的预测报告，其中，所述预测报告是所述无线通信系统执行所述连接服务质量预测过程中按照所述连接服务质量预测参数进行数据采集的结果。
  2. 根据权利要求1所述的方法，其中，所述连接服务质量预测请求中携带有所述车联网应用配置的连接服务质量预测配置需求，包括以下至少之一：
    所需预测的时间起止，所需预测的规划路径，预测上报的时间提前量，预测上报的距离提前量，目标区域所需上报的一个或者多个连接服务指标，所述无线通信系统提供的连接服务质量预测报告的可信度，所述无线通信系统上报预测信息的精度，预测信息的上报条件，预测信息的上报频率。
  3. 根据权利要求1所述的方法，其中，
    车联网应用向无线通信系统发送连接服务质量预测请求，包括，所述连接服务质量预测请求中还携带有所述车联网应用的应用ID；
    车联网应用向无线通信系统发送连接服务质量预测请求，包括：所述车联网应用通过调用无线通信系统的应用程序接口API向所述无线通信系统配置所述连接服务质量预测请求中的内容；
    接收所述无线通信系统的反馈信息，包括：所述车联网应用通过所述无线通信系统的API接收所述反馈信息。
  4. 根据权利要求1所述的方法，其中，所述反馈信息中指示有所述无线通信系统是否接收所述连接服务质量预测配置需求的处理结果，包括以下至少之一：
    所述反馈信息为全部接受，用于指示所述无线通信系统接受全部所述连接服务质量预测配置需求；
    所述反馈信息为部分接受，用于指示所述无线通信系统部分接受所述连接服务质量预测配置需求；
    所述反馈信息为不接受，用于指示所述无线通信系统不接受所述连接服务质量预测配置需求。
  5. 根据权利要求4所述的方法，其中，所述方法还包括：
    在所述反馈信息为部分接受时，所述反馈信息中还携带有所述无线通信系统支持的第二连接服务质量预测参数；
    其中，所述第二连接服务质量预测参数包括以下之一：
    所需预测的时间起止，所需预测的规划路径，预测上报的时间提前量，预测上报的距离提前量，目标区域所需上报的一个或者多个连接服务指标，所述无线通信系统提供的连接服务质量预测报告的可信 度，所述无线通信系统上报预测信息的精度，预测信息的上报条件，预测信息的上报频率。
  6. 根据权利要求5所述的方法，其中，依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数，包括以下之一：
    在所述反馈信息为全部接受时，确定所述连接服务质量预测配置需求为所述第一连接服务质量预测参数，
    在所述反馈信息为部分接受，且所述车联网应用接受所述第二连接服务质量预测参数时，将所述第二连接服务质量预测参数作为所述第一连接服务质量预测参数，并向所述无线通信系统反馈所述车联网应用接受所述第二连接服务质量预测参数；
    在所述反馈信息为部分接受，且所述车联网应用不接受所述第二连接服务质量预测参数时，向所述无线通信系统反馈所述车联网应用不接受所述第二连接服务质量预测参数；
    在所述反馈信息为不接受时，所述车联网应用通知所述无线通信系统本次关于连接服务质量预测参数的协商无效。
  7. 根据权利要求1所述的方法，其中，所述方法还包括以下至少之一：
    接收所述无线通信系统反馈的预测报告之前，所述车联网应用向所述无线通信系统发送所述连接服务质量预测过程启动消息；
    接收所述无线通信系统反馈的预测报告之后，所述车联网应用向所述无线通信系统发送用于终止所述连接服务质量预测过程的第一终止消息，或者，所述车联网应用通过调用应用程序接口API终止所述连接服务质量预测过程，或者，所述车联网应用接收到所述无线通 信系统发送的用于终止所述连接服务质量预测过程的第二终止消息。
  8. 根据权利要求1所述的方法，其中，接收所述无线通信系统反馈的预测报告之后，所述方法还包括:
    在所述车联网应用检测到所述第一连接服务质量预测参数需要更新时，执行以下方案之一：
    向所述无线通信系统发送连接服务质量预测过程终止消息，以及向所述无线通信系统更新所述第一连接服务质量预测参数；
    为所述无线通信系统配置更新后的第一连接服务质量预测参数的有效起始时间，其中，在到达所述有效起始时间时，依据所述更新后的第一连接服务质量预测参数进行数据采集。
  9. 一种连接服务质量的预测方法，包括：
    无线通信系统接收车联网应用发送的连接服务质量预测请求，其中，所述连接服务质量预测请求中携带有所述车联网应用配置的连接服务质量预测配置需求；
    向所述车联网应用发送反馈信息，其中，所述反馈信息中指示有所述无线通信系统是否接收所述连接服务质量预测配置需求的处理结果；
    依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数；
    所述无线通信系统在与所述车联网应用对应的连接服务质量预测过程中，按照所述第一连接服务质量预测参数进行数据采集，并形成预测报告；
    向所述车联网应用反馈所述预测报告。
  10. 根据权利要求9所述的方法，其中，向所述车联网应用发送反馈信息，包括：
    依据预设或者向策略服务器动态请求的策略，判断所述无线通信系统是否支持所述连接服务质量预测配置需求。
  11. 根据权利要求9所述的方法，其中，向所述车联网应用发送反馈信息，其中，所述反馈信息中指示有所述无线通信系统是否接收所述连接服务质量预测配置需求的处理结果，包括：
    在所述反馈信息为部分接受时，所述反馈信息中还携带有所述无线通信系统支持的第二连接服务质量预测参数，其中，所述第二连接服务质量预测参数是预设的或者向策略服务器动态请求的；
    其中，所述第二连接服务质量预测参数包括以下之一：
    所需预测的时间起止，所需预测的规划路径，预测上报的时间提前量，预测上报的距离提前量，目标区域所需上报的一个或者多个连接服务指标，所述无线通信系统提供的连接服务质量预测报告的可信度，所述无线通信系统上报预测信息的精度，预测信息的上报条件，预测信息的上报频率。
  12. 根据权利要求9所述的方法，其中，依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数，包括以下之一：
    在所述反馈信息为全部接受时，确定所述连接服务质量预测配置需求为所述第一连接服务质量预测参数；
    在所述反馈信息为部分接受，且所述车联网应用接受第二连接服务质量预测参数时，接收所述车联网应用反馈的用于指示接受所述第二连接服务质量预测参数的反馈信息，并将所述第二连接服务质量预 测参数作为所述第一连接服务质量预测参数；
    在所述反馈信息为部分接受，且所述车联网应用不接受所述第二连接服务质量预测参数时，接收所述车联网应用反馈的不接受所述第二连接服务质量预测而参数的反馈信息；
    在所述反馈信息为不接受时，接收到所述车联网应用通知的本次关于连接服务质量预测参数的协商无效的通知信息。
  13. 根据权利要求9所述的方法，其中，所述无线通信系统在与所述车联网应用对应的连接服务质量预测过程中，按照所述第一连接服务质量预测参数进行数据采集，并形成预测报告之前，所述方法还包括：
    通过以下方式之一启动所述连接服务质量预测过程：
    接收所述车联网应用发送的用于启动所述连接服务质量预测过程的启动消息；
    在满足所述第一连接服务质量预测参数中包括的启动条件时，自动启动所述连接服务质量预测过程。
  14. 根据权利要求9所述的方法，其中，所述无线通信系统在与所述车联网应用对应的连接服务质量预测过程中，按照所述第一连接服务质量预测参数进行数据采集，并形成预测报告之前，所述方法还包括：
    在启动所述连接服务质量预测过程时未检测到连接服务质量预测参数时，所述无线通信系统向启动该连接服务预测过程的车联网应用请求一套连接服务质量预测参数，或者请求所述车联网应用从预配置连接服务质量预测参数中选择一套。
  15. 根据权利要求9所述的方法，其中，向所述车联网应用反馈所述预测报告，包括：
    所述预测报告包含以下至少之一：车联网应用ID，时间标识，预测的连接服务质量相关指标估计区间，预测信息的可信区间，预测适用的地理区域，预测适用的时间区间，预测信息对应基站位置等。
  16. 根据权利要求9所述的方法，其中，向所述车联网应用反馈所述预测报告之后，所述方法还包括以下之一:
    接收到所述车联网应用发送的用于终止所述连接服务质量预测过程的第一终止消息；
    向所述车联网应用发送用于终止所述连接服务质量预测过程的第二终止消息；
    在检测到满足所述第一连接服务质量预测参数中包括的终止条件时，自动终止所述连接服务质量预测过程。
  17. 一种连接服务质量的预测装置，用于车联网应用，包括：
    第一发送模块，设置为向无线通信系统发送连接服务质量预测请求，其中，所述连接服务质量预测请求中携带有所述车联网应用配置的连接服务质量预测配置需求；
    第一接收模块，设置为接收所述无线通信系统的反馈信息，其中，所述反馈信息中指示有所述无线通信系统是否接收所述连接服务质量预测配置需求的处理结果；
    第一确定模块，设置为依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数，其中，所述第一连接服务质量预测参数用于所述无线通信系统对所述车联网应用 的连接服务质量预测过程中；
    第二接收模块，设置为接收所述无线通信系统反馈的预测报告，其中，所述预测报告是所述无线通信系统执行所述连接服务质量预测过程中按照所述连接服务质量预测参数进行数据采集的结果。
  18. 一种连接服务质量的预测装置，用于无线通信系统，包括：
    第三接收模块，设置为接收车联网应用发送的连接服务质量预测请求，其中，所述连接服务质量预测请求中携带有所述车联网应用配置的连接服务质量预测配置需求；
    第二发送模块，设置为向所述车联网应用发送反馈信息，其中，所述反馈信息中指示有所述无线通信系统是否接收所述连接服务质量预测配置需求的处理结果；
    第二确定模块，设置为依据所述反馈信息确定所述车联网应用与所述无线通信系统之间的第一连接服务质量预测参数；
    采集模块，设置为在与所述车联网应用对应的连接服务质量预测过程中，按照所述第一连接服务质量预测参数进行数据采集，并形成预测报告；
    第三发送模块，设置为向所述车联网应用反馈所述预测报告。
  19. 一种存储介质，所述存储介质中存储有计算机程序，其中，所述计算机程序被设置为运行时执行所述权利要求1至16任一项中所述的方法。
  20. 一种电子装置，包括存储器和处理器，所述存储器中存储有计算机程序，所述处理器被设置为运行所述计算机程序以执行所述权利要求1至16任一项中所述的方法。
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