CN112073991B

CN112073991B - Service processing method and device of access network

Info

Publication number: CN112073991B
Application number: CN201910498280.6A
Authority: CN
Inventors: 陈亚迷; 李刚; 叶春力; 张聪; 郭雅莉
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Communications Ltd Research Institute
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Communications Ltd Research Institute
Priority date: 2019-06-10
Filing date: 2019-06-10
Publication date: 2022-05-06
Anticipated expiration: 2039-06-10
Also published as: CN112073991A; WO2020249017A1

Abstract

A service processing method and device for an access network are provided, the method comprises: the method comprises the following steps that a first unit generates at least one of a first strategy, a first object and a first command related to business processing and sends the strategy to a second unit, and/or generates at least one of a second strategy, a second object and a second command related to the business processing and sends the strategy to a base station, wherein the business processing comprises at least one of business identification, business analysis, business management and wireless resource management, and the strategy comprises the following steps: a goal of the business process, and at least one of behavior under different conditions and/or events. The service processing method and the service processing equipment for the access network provided by the embodiment of the invention can realize an access network architecture customized for services and applications, ensure service experience in real time and improve the flexibility of the access network and the capability of the service vertical industry.

Description

Service processing method and device of access network

Technical Field

The invention relates to the technical field of mobile communication, in particular to a service processing method and equipment of an access network.

Background

The open radio access network (O-RAN) consortium is a consortium initiated by operators such as china mobile, AT & T, german telecommunications, NTT DOCOMO, japan and Orange, france. O-RAN is a further evolution of wireless clouded (C-RAN) and centralized unit/distributed unit (CU/DU) network architectures with the vision to create open, open-source and intelligent, highly flexible, low-cost wireless networks. The O-RAN will conduct research around network intellectualization, interface opening, software evolution, hardware white-box, and the like, aiming to improve the openness of the next generation wireless communication network to a new level.

O-RAN networks represent one direction of future wireless network development: open and intelligent. Through open wireless data acquisition, carry out intelligent management and control to wireless network. But the specific application and process design in the O-RAN needs to be further specified.

In the access network in the prior art, flexible function and policy support capable of adapting/supporting different service scenes from a wireless side is lacked, and dynamic network quality management and control are difficult to support.

Disclosure of Invention

At least one embodiment of the invention provides a service processing method and equipment for an access network, which realize an access network architecture customized for service and application and improve the flexibility of the access network.

According to an aspect of the present invention, at least one embodiment provides a method

The method comprises the following steps that a first unit generates at least one of a first strategy, a first object and a first command related to business processing and sends the strategy to a second unit, and/or generates at least one of a second strategy, a second object and a second command related to the business processing and sends the strategy to a base station, wherein the business processing comprises at least one of business identification, business analysis, business management and wireless resource management, and the strategy comprises the following steps: a goal of the business process, and at least one of behavior under different conditions and/or events.

Further, in accordance with at least one embodiment of the present invention, the object is an object for business processes, including at least one of a model, a function, and an application.

Furthermore, in accordance with at least one embodiment of the present invention, the service analysis includes at least one of service level agreement index prediction of the service, service level agreement index evaluation of the service, service quality prediction, service quality evaluation, key quality index prediction of the service, key quality index evaluation of the service, prediction of experience quality of the service, and evaluation of experience quality of the service;

the service management comprises at least one of adjustment of service quality parameters of the service and supplement of the service quality parameters of the service;

the radio resource management comprises at least one of radio bearer management, radio connection management, connection mobility management, mobility parameter optimization, dynamic allocation of radio resources, and measurement report management, and according to at least one embodiment of the present invention, the target of the service processing comprises at least one of a service level agreement target value, a service quality target value, a key quality index target value, and a quality of experience target value.

Further in accordance with at least one embodiment of the present invention, the conditions and/or events include one or more of the following indicators: service information, user information, network environment and resource status, target index status and target index status change; wherein the content of the first and second substances,

the service information comprises at least one of a service flow identifier, a service type identifier, a service characteristic parameter, service type judgment and service scene judgment;

the user information comprises at least one of user identification, user type, user moving speed, user air interface channel quality and user level base station cache state;

the network environment and the resource state comprise at least one of a cell identifier, a site identifier, a network load, a base station cache state and air interface channel quality;

the target index state comprises at least one of a threshold interval in which a service level protocol index measurement value is located, a threshold interval in which a service quality index measurement value is located, a threshold interval in which a key quality index measurement value is located and a threshold interval in which an experience quality index measurement value is located, a threshold interval in which a difference value between a service level protocol index measurement result and a service level protocol target value is located, a threshold interval in which a difference value between a service quality index measurement result and a service quality index target value is located, a threshold interval in which a difference value between a key quality index measurement result and a key quality index target value is located, and a threshold interval in which a difference value between an experience quality index measurement result and an experience quality index target value is located;

the target index state change: the service level agreement index is decreased to a threshold value, the service quality index is decreased to a threshold value, the key quality index is decreased to a threshold value and the experience quality index is decreased to a threshold value, the difference value between the service level agreement index measurement result and the service level agreement target value is higher than a threshold value, the difference value between the service quality index measurement result and the service quality index target value is higher than a threshold value, the difference value between the key quality index measurement result and the key quality index target value is higher than a threshold value, the difference value between the experience quality index measurement result and the experience quality index target value is higher than a threshold value, the service level agreement index is higher than a threshold value, the service quality index is higher than a threshold value, the key quality index is higher than a threshold value and the experience quality index is higher than a threshold value.

Further in accordance with at least one embodiment of the present invention, the acts include radio resource management acts;

wherein the radio resource management actions include: at least one of radio bearer management, radio connection management, connection mobility management, mobility parameter optimization, dynamic allocation of radio resources, measurement report management, function index detection and reporting.

Further in accordance with at least one embodiment of the present invention, the behavior comprises non-radio resource management behavior;

wherein the non-radio resource management actions include: at least one of service determination, service quality index assessment, service quality index prediction, key quality index assessment, key quality index prediction, quality of experience score assessment, and quality of experience score prediction.

Further in accordance with at least one embodiment of the present invention, the behavior includes adjusting a goal of the business process.

Further, in accordance with at least one embodiment of the present invention, the behavior comprises a function and/or model and/or an application execution behavior.

Further in accordance with at least one embodiment of the present invention, the behavior includes at least one of execution result deposit, execution input reception, and execution result transmission.

Further in accordance with at least one embodiment of the present invention, the behavior further includes model feedback including results obtained from feedback model execution and/or effects or performance of feedback model execution.

Further, in accordance with at least one embodiment of the present invention, the first policy, the first object, and the first command include at least one of:

judging the service type;

evaluating service level agreement indexes;

predicting service level agreement indexes;

evaluating the service quality;

predicting the service quality;

evaluating business key indexes;

predicting business key indexes;

evaluating a service experience index;

predicting a service experience index;

predicting the difference between the service level agreement index measurement result and the service level agreement target value;

predicting the difference between the measurement result of the service quality index and the target value of the service quality index;

predicting the difference between the measurement result of the key quality index and the target value of the key quality index;

predicting the difference between the measurement result of the experience quality index and the target value of the experience quality index;

evaluating a difference value between a service level agreement index measurement result and a service level agreement target value;

evaluating the difference between the measurement result of the service quality index and the target value of the service quality index;

evaluating the difference between the measurement result of the key quality index and the target value of the key quality index;

and evaluating the difference value between the measurement result of the experience quality index and the target value of the experience quality index.

Further, in accordance with at least one embodiment of the present invention, the method further comprises:

the first unit transmits the policy priority information to the base station to make the base station arbitrate decision and execute upon receiving the radio resource management related information transmitted by the second unit.

Further, in accordance with at least one embodiment of the present invention, the first policy, the first object, and the first command include: a model and/or application of at least one of business identification, business analysis, and business management;

the second policy, the second object, and the second command include: at least one of a mapping relationship between the service identification result and the radio resource management behavior, a mapping relationship between the service analysis result and the radio resource management behavior, and a mapping relationship between the service management result and the radio resource management behavior.

Further, in accordance with at least one embodiment of the present invention, the first policy, the first object, and the first command include: business identification models and/or applications;

the second policy, the second object, and the second command include: at least one of a service analysis model, a service analysis application, a service management model, a service management application, a mapping relationship between a service identification result and a radio resource management behavior, a mapping relationship between a service analysis result and a radio resource management behavior, and a mapping relationship between a service management result and a radio resource management behavior.

According to another aspect of the present invention, at least one embodiment provides another service processing method for an access network, including:

the second unit receives at least one of a first strategy, a first object and a first command which are related to the service processing sent by the first unit, wherein the service processing comprises at least one of service identification, service analysis, service management and wireless resource management, and the strategy comprises the following steps: a goal of business processing, and at least one of behavior under different conditions and/or events;

the second unit executes at least one of the first policy, the first object and the first command sent by the first unit, and sends an execution result to a base station.

Further, according to at least one embodiment of the present invention, the executing at least one of the first policy, the first object, and the first command sent by the first unit includes: the second unit executes at least one of the first strategy, the first object and the first command sent by the first unit to obtain an intermediate result, and generates at least one of a third strategy, a third object and a third command related to service processing according to the intermediate result;

the sending the execution result to the base station includes: and transmitting at least one of a third policy, a third object, and a third command to the base station.

the executing at least one of the first policy, the first object and the first command sent by the first unit comprises at least one of:

executing service identification to obtain service judgment information;

performing prediction or evaluation of a key quality indicator of the service;

performing quality of experience prediction or assessment of a service

Adjusting or supplementing service quality parameters of the service;

and executing the radio resource management to obtain the decision of the radio resource management.

the second unit judges whether at least one of the first strategy, the first object and the first command needs to be executed or not based on the current data input, and executes and sends an execution result to the base station when judging that the execution is needed.

Further, according to at least one embodiment of the present invention, the sending the execution result to the base station includes at least one of:

sending quality of service parameter adjustment or supplementation to a base station, wherein the quality of service parameter adjustment or supplementation comprises at least one of the following: adjusting the service quality of the data service, setting the guarantee time of the data service, and guaranteeing to provide preset flow in preset time; the service quality comprises at least one of time delay, bandwidth, priority, reliability and packet loss rate;

and sending the radio resource management auxiliary information or the radio resource management control information or the radio resource management strategy information to the base station.

the second unit generates the radio resource management auxiliary information or control information facing to the user, the service or the user type or the service type according to the information received from the first unit, and sends the information to the base station.

Further, according to at least one embodiment of the present invention, transmitting the execution result to the base station includes:

and transmitting the service quality target value to the base station.

and transmitting the service identification information to the base station so that the base station executes service processing based on the service identification information.

the base station receives at least one of a second strategy, a second object and a second command related to service processing sent by the first unit, and/or receives at least one of a third strategy, a third object and a third command sent by the second unit; wherein the service processing includes at least one of service identification, service analysis, service management and radio resource management, and the policy includes: a goal of business processing, and at least one of behavior under different conditions and/or events;

the base station performs decisions for radio resource management.

Further, in accordance with at least one embodiment of the present invention, the second policy is a policy for specifying that the base station executes the third policy.

the base station executes at least one of the second policy, the second object and the second command, and/or executes at least one of the third policy, the third object and the third command.

Furthermore, in accordance with at least one embodiment of the present invention, executing at least one of the second policy, the second object, and the second command, and/or executing at least one of the third policy, the third object, and the third command includes at least one of:

executing service identification to obtain service judgment information;

performing prediction or evaluation of a key quality indicator of the service;

performing quality of experience prediction or assessment of a service

Adjusting or supplementing service quality parameters of the service;

Further, in accordance with at least one embodiment of the present invention, performing a decision for radio resource management includes:

the base station receives the service quality parameters or the strategies related to the wireless resource management sent by the second unit, performs the wireless resource management, and obtains and executes the decision of the wireless resource management;

or, the base station executes the radio resource management decision according to the received radio resource management auxiliary information or control information sent by the second unit.

Further, in accordance with at least one embodiment of the present invention, the method further comprises: and the base station carries out arbitration judgment and execution on the radio resource management auxiliary information or the control information which is sent by the second unit and faces to the user, the service or the user type or the service type according to the strategy priority information sent by the first unit.

and receiving the service quality expected target sent by the second unit, and executing the decision of radio resource management according to the service quality expected target.

receiving service identification information sent by a second unit;

and executing corresponding service quality evaluation and service guarantee functions according to the service identification information.

According to another aspect of the present invention, at least one embodiment provides a first unit comprising:

a processor configured to generate at least one of a first policy, a first object, and a first command associated with a business process, and/or generate at least one of a second policy, a second object, and a second command associated with a business process, the business process including at least one of business identification, business analysis, business management, and radio resource management, the policy comprising: a goal of business processing, and at least one of behavior under different conditions and/or events;

and the transceiver is used for transmitting at least one of the first strategy, the first object and the first command to the second unit and/or transmitting at least one of the second strategy, the second object and the second command to the base station.

According to another aspect of the present invention, at least one embodiment provides a second unit comprising:

a transceiver for receiving at least one of a first policy, a first object and a first command related to a service process sent by a first unit, the service process including at least one of service identification, service analysis, service management and radio resource management, the policy including: a goal of business processing, and at least one of behavior under different conditions and/or events;

and the processor is used for executing at least one of the first strategy, the first object and the first command sent by the first unit and sending an execution result to a base station.

According to another aspect of the present invention, at least one embodiment provides a base station comprising:

the transceiver is used for receiving at least one of a second strategy, a second object and a second command related to business processing sent by the first unit, and/or receiving at least one of a third strategy, a third object and a third command sent by the second unit; wherein the service processing includes at least one of service identification, service analysis, service management and radio resource management, and the policy includes: a goal of business processing, and at least one of behavior under different conditions and/or events;

a processor configured to perform a decision for radio resource management.

According to another aspect of the present invention, at least one embodiment provides a communication apparatus comprising: a memory, a processor and a program stored on the memory and executable on the processor, the program, when executed by the processor, implementing the steps of the business processing method as described above.

According to another aspect of the invention, at least one embodiment provides a computer readable storage medium having a program stored thereon, which when executed by a processor, performs the steps of the method as described above.

Compared with the prior art, the service processing method and the service processing equipment for the access network provided by the embodiment of the invention realize an access network architecture which is customized facing to services and applications, and can improve the flexibility of the access network. Embodiments of the present invention may provide application and experience oriented real-time network policies and controls in wireless networks for data-driven platforms (including AI-driven intelligent platforms).

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.

Fig. 1 is a schematic flow chart illustrating a service processing method according to an embodiment of the present invention applied to a first unit;

fig. 2 is a schematic flow chart illustrating a service processing method according to an embodiment of the present invention applied to a second unit;

fig. 3 is a schematic flow chart illustrating a service processing method applied to a base station according to an embodiment of the present invention;

fig. 4 is an exemplary diagram of a system architecture of the first and second units and the base station according to the embodiment of the present invention;

fig. 5 is another exemplary diagram of the system architecture of the first and second units and the base station according to the embodiment of the present invention;

fig. 6 is another exemplary diagram of the system architecture of the first and second units and the base station according to the embodiment of the present invention;

FIG. 7 is a flowchart illustration of interaction between the first and second units and a base station in accordance with an embodiment of the present invention;

FIGS. 8A-8B are another exemplary flow chart of interaction between the first and second units and a base station in accordance with an embodiment of the present invention;

fig. 9 is another exemplary diagram of the system architecture of the first and second units and the base station according to the embodiment of the present invention;

fig. 10 is another exemplary diagram of the system architecture of the first and second units and the base station according to the embodiment of the present invention;

FIG. 11 is a flowchart illustration of interaction between the first and second units and a base station in accordance with an embodiment of the present invention;

fig. 12 is another exemplary diagram of the system architecture of the first and second units and the base station according to the embodiment of the present invention;

fig. 13 is another exemplary diagram of the system architecture of the first and second units and the base station according to the embodiment of the present invention;

fig. 14 is another exemplary diagram of the system architecture of the first and second units and the base station according to the embodiment of the present invention;

fig. 15 is a flowchart illustration of the interaction between the first and second units and the base station in accordance with an embodiment of the present invention;

FIG. 16 is an exemplary flowchart of the interaction between the first and second units and the base station in accordance with an embodiment of the present invention;

fig. 17 is another exemplary diagram of the system architecture of the first and second units and the base station according to the embodiment of the present invention;

fig. 18 is an example of a flow chart of the interaction between the first and second units and the base station in accordance with an embodiment of the present invention;

FIG. 19 is a schematic structural diagram of a first unit according to an embodiment of the present invention;

fig. 20 is another schematic structural diagram of the first unit according to the embodiment of the present invention;

fig. 21 is a schematic structural diagram of a second unit according to an embodiment of the present invention;

fig. 22 is another schematic structural diagram of the second unit according to the embodiment of the present invention;

fig. 23 is a schematic structural diagram of a base station according to an embodiment of the present invention;

fig. 24 is a schematic structural diagram of a base station according to an embodiment of the present invention.

Detailed Description

In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments. In the following description, specific details such as specific configurations and components are provided only to help the full understanding of the embodiments of the present invention. Thus, it will be apparent to those skilled in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the invention. In addition, descriptions of well-known functions and constructions are omitted for clarity and conciseness.

It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

In various embodiments of the present invention, it should be understood that the sequence numbers of the following processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

The embodiment of the invention provides a service processing method which is applied among a first unit, a second unit and a base station. In this embodiment of the present invention, the first unit may specifically be a functional unit or an entity unit on an access network side, and may also be a functional unit or an entity unit on a core network side. Similarly, the second unit may be a functional unit or an entity unit on the access network side, or may be a functional unit or an entity unit on the core network side.

Optionally, the first unit and the second unit may have different service processing delays. For example, the service processing delay of the first unit may be more than 100ms, and at this time, it may be regarded as a Non-real-time unit, such as a Non-real-time (Non-real) radio network intelligent controller (RIC). The service processing delay of the second unit may be less than 100ms, and at this time, the second unit may be regarded as a near real-time unit, such as a near-real-time (near-real) radio network intelligent controller (RIC).

Therefore, in the different architectures provided by the present application, the specific functions can be implemented by different nodes, such as the first unit or the second unit, and the customization and the security information granularity that can be provided are different. For example, if the function is implemented on the first unit, it may be guaranteed that the granularity is greater than 100ms, and if the function is implemented on the second unit, the granularity is more preferably less than 100 ms. Therefore, different architecture options can be adopted according to specific requirements of different functions, and different real-time requirements can be met.

Referring to fig. 1, according to at least one embodiment of the present invention, there is provided a service processing method, when applied to the first unit, including:

and step 11, the first unit generates at least one of a first strategy, a first object and a first command related to service processing and sends the first strategy, the first object and the first command to the second unit, and/or generates at least one of a second strategy, a second object and a second command related to service processing and sends the second strategy, the second object and the second command to the base station.

Here, the service processing may specifically include at least one of service identification, service analysis, service management, and radio resource management, and the policy includes: a goal of the business process, and at least one of behavior under different conditions and/or events. A number of concepts involved in various embodiments of the invention are described in greater detail below.

According to at least one embodiment of the present invention, the object is an object for business processing, including at least one of a model, a function, and an application.

According to at least one embodiment of the present invention, the service analysis may include: the service Quality prediction method includes at least one of service level protocol index prediction of the service, service level protocol index evaluation of the service, service Quality prediction, service Quality evaluation, Key Quality Indicator (KQI) prediction of the service, Key Quality Indicator evaluation of the service, Quality of Experience (QoE) prediction of the service, and evaluation of the service Quality of Experience.

The service management may specifically include: at least one of an adjustment of a Quality of Service (QoS) parameter of the Service and a supplement of the QoS parameter of the Service. Here, the adjustment means adjusting the numerical value of the qos parameter of the service, and the supplement means adding or deleting the type of the qos parameter of the service.

The radio resource management may specifically include: at least one of radio bearer management, radio connection management (including multi-connection management and reliability data guarantee, etc.), connection mobility management, mobility parameter optimization, radio resource dynamic allocation, and measurement report management.

According to at least one embodiment of the present invention, the target of the business process includes at least one of a service level agreement target value, a service quality target value, a key quality index target value and a quality of experience target value.

According to at least one embodiment of the invention, the conditions and/or events may include one or more of the following indicators: service information, user information, network environment and resource status, target index status and target index status change; wherein the content of the first and second substances,

the service information comprises at least one of a service flow identifier (such as QoS flow ID), a service type identifier (such as slice ID), a service characteristic parameter, service type judgment and service scene judgment;

the target index state comprises at least one of a threshold interval in which a service level agreement index measurement value is positioned, a threshold interval in which a service quality index measurement value is positioned, a threshold interval in which a key quality index measurement value is positioned and a threshold interval in which an experience quality index measurement value is positioned, a threshold interval in which a difference value between a service level agreement index measurement result and a service level agreement target value is positioned, a threshold interval in which a difference value between a service quality index measurement result and a service quality index target value is positioned, a threshold interval in which a difference value between a key quality index measurement result and a key quality index target value is positioned, and a threshold interval in which a difference value between an experience quality index measurement result and an experience quality index target value is positioned;

In accordance with at least one embodiment of the present invention, the behavior may include radio resource management behavior. Specifically, the radio resource management action may include: at least one of radio bearer management, radio connection management (including multi-connection configuration and reliability data assurance behavior, etc.), connection mobility management, mobility parameter optimization, dynamic allocation of radio resources, measurement report management, function index detection and reporting, and radio resource allocation.

In accordance with at least one embodiment of the present invention, the behavior may include non-radio resource management behavior. Specifically, the non-radio resource management behavior includes: at least one of service determination, service quality index assessment, service quality index prediction, key quality index assessment, key quality index prediction, quality of experience score assessment, quality of experience score prediction, and quality of service parameter adjustment or supplementation.

According to at least one embodiment of the invention, the behavior comprises adjusting a goal of the business process.

According to at least one embodiment of the invention, the behavior may comprise a function and/or model and/or application execution behavior, i.e. an execution behavior that executes at least one of a function, a model and an application.

According to at least one embodiment of the invention, the action may include at least one of execution result deposit, execution input reception, and execution result transmission.

In accordance with at least one embodiment of the present invention, the behavior may further include an event condition triggered behavior.

According to at least one embodiment of the invention, the behavior may further include model feedback including results obtained from feedback of model execution and/or effects or performance of model execution.

According to at least one embodiment of the invention, the first policy, the first object, and the first command include at least one of:

judging the service type;

evaluating service level agreement indexes;

predicting service level agreement indexes;

evaluating the service quality;

predicting the service quality;

evaluating business key indexes;

predicting business key indexes;

evaluating a service experience index;

predicting a service experience index;

predicting the difference between the service level protocol index measurement result and the service level protocol target value;

evaluating the difference value between the service level agreement index measurement result and the service level agreement target value;

According to at least one embodiment of the invention, the command is an instruction for execution:

according to at least one embodiment of the invention, the models include various pre-established or machine learning generated models:

according to at least one embodiment of the invention, the functions may include a set of instructions to implement the specific functions:

the application may be various pre-defined programs to implement specific functions in accordance with at least one embodiment of the present invention.

It should be noted that the above different behaviors may be combined with each other, for example, the behaviors may include one or more of radio resource management behaviors, and may also include one or more of non-radio resource management behaviors. Optionally, the acts may further include other acts enumerated above.

Referring to fig. 2, according to at least one embodiment of the present invention, there is provided a service processing method, when applied to the second unit, including:

step 21, the second unit receives at least one of a first policy, a first object and a first command related to service processing sent by the first unit, the service processing includes at least one of service identification, service analysis, service management and radio resource management, and the policy includes: a goal of the business process, and at least one of behavior under different conditions and/or events.

And step 22, the second unit executes at least one of the first strategy, the first object and the first command sent by the first unit, and sends the execution result to the base station.

Here, the second unit may determine whether at least one of the first policy, the first object, and the first command needs to be executed based on the current data input, and when it is determined that execution is needed, perform execution and transmit an execution result to the base station.

Specifically, the executing, by the second unit, at least one of the first policy, the first object, and the first command sent by the first unit may include at least one of:

a) executing service identification to obtain service judgment information;

b) performing prediction or evaluation of a key quality indicator of the service;

c) performing quality of experience prediction or assessment of a service

d) Adjusting or supplementing service quality parameters of the service;

e) and executing the radio resource management to obtain the decision of the radio resource management.

According to at least one embodiment of the present invention, the sending the execution result to the base station may include at least one of the following:

1) and sending the service quality parameter adjustment or supplement to the base station.

Here, the qos parameter adjustment or supplementation includes at least one of: adjusting the service quality of the data service, setting the guarantee time of the data service, and guaranteeing to provide preset flow in preset time; the service quality comprises at least one of time delay, bandwidth, priority, reliability and packet loss rate;

2) and sending the radio resource management auxiliary information or the radio resource management control information or the radio resource management strategy information to the base station.

According to at least one embodiment of the present invention, after obtaining the execution result, the second unit may further generate at least one of a third policy, a third object, and a third command related to service processing according to the execution result; then, at least one of a third policy, a third object, and a third command is transmitted to the base station.

Referring to fig. 3, according to at least one embodiment of the present invention, a service processing method is provided, which when applied to a base station, includes:

step 31, the base station receives at least one of a second policy, a second object and a second command related to service processing sent by the first unit, and/or receives at least one of a third policy, a third object and a third command sent by the second unit; wherein the service processing includes at least one of service identification, service analysis, service management and radio resource management, and the policy includes: a goal of the business process, and at least one of behavior under different conditions and/or events.

Here, the second policy may be a policy for specifying that the base station executes the third policy. After receiving the content sent by the first unit and/or the second unit, the base station may execute at least one of the second policy, the second object, and the second command, and/or execute at least one of the third policy, the third object, and the third command to obtain a radio resource management decision, specifically, the base station may execute at least one of the following:

a) executing service identification to obtain service judgment information;

c) performing quality of experience prediction or assessment of a service

d) Adjusting or supplementing service quality parameters of the service;

Step 32, the base station performs the decision of radio resource management.

In step 32, the decision of radio resource management performed by the base station may specifically be a decision of radio resource management obtained by performing at least one of a second policy, a second object, and a second command related to service processing sent by the first unit, and/or at least one of a third policy, a third object, and a third command sent by the second unit.

According to at least one embodiment of the present invention, the base station may further receive the quality of service parameter or the policy related to radio resource management sent by the second unit, perform radio resource management, and obtain and execute a decision for radio resource management.

According to at least one embodiment of the present invention, the base station may further perform a radio resource management decision according to the received radio resource management assistance information or control information sent by the second unit.

Through the steps, the embodiment of the invention realizes the access network architecture customized for the service and the application, and improves the flexibility of the access network.

Referring to fig. 4 to 6, some examples of systems to which the method flows shown in fig. 1 to 3 are applicable are shown, it should be noted that fig. 4 to 6 are only some examples of architectures of systems that can be used by the above methods, and the embodiments of the present invention are not limited to the examples shown in fig. 4 to 6.

In which, taking fig. 4 as an example:

the first unit includes:

a generating unit, configured to generate at least one of a first policy, a first object, and a first command related to service processing and send the generated policy, the first object, and the first command to a second unit, and/or generate at least one of a second policy, a second object, and a second command related to service processing and send the generated policy, the service processing including at least one of service identification, service analysis, service management, and radio resource management to a base station, where the policy includes: a goal of the business process, and at least one of behavior under different conditions and/or events.

The second unit comprises at least one of the following units:

the service identification unit is used for executing service identification and obtaining service judgment information;

a key quality index prediction/evaluation unit for performing prediction or evaluation of a key quality index of a service;

a quality of experience prediction/evaluation unit for performing prediction or evaluation of quality of experience of a service

A service quality parameter processing unit, configured to adjust or supplement a service quality parameter of a service;

the base station includes:

and the radio resource management unit is used for executing the radio resource management and obtaining the decision of the radio resource management.

And the radio resource control unit is used for executing the decision of radio resource management.

Fig. 5 is different from fig. 4 in that a part of the radio resource management function is placed in the second unit, and another part of the radio resource management function is placed in the base station, and it can be seen that the second unit in fig. 5 further includes a first radio resource management unit, and the base station further includes a second radio resource management unit, and the first radio resource management unit is configured to perform radio resource management, obtain a decision of radio resource management, and send the decision to the base station. The second radio resource management unit is used for executing radio resource management, obtaining a decision of radio resource management and sending the decision to the radio resource control unit.

Fig. 6 is a comparison with fig. 4, where the radio resource managing unit is placed in the second unit. And the radio resource management unit is used for executing radio resource management, obtaining a decision of the radio resource management and sending the decision to the base station.

As can be seen from the architectures of FIGS. 4-6, the division of work for each node is roughly as follows:

1) the first unit is mainly responsible for model and/or policy generation, wherein the model and/or policy are generally related to service identification, service quality prediction, service quality satisfaction scoring and service quality management;

2) the second unit is mainly responsible for model execution and/or policy application; the models shown in the drawings are merely examples, and one or more models may actually be included.

3) The base station is responsible for receiving Radio Resource Management (RRM) information from the second unit for RRM management.

As can be seen from the above description, the flow between nodes based on the above architecture mainly includes:

1. the method comprises the steps that a first unit generates at least one of a strategy, an object and a command and sends the strategy, the object and the command to a second unit, the strategy specifies different objects needing to be executed under different conditions, and the object comprises at least one of behaviors, models, functions and applications; for the architecture shown in fig. 4, the strategy corresponding to the RRM behavior class is not normally sent to the second unit, and may be sent to the base station.

a) Specific conditions include: (combination of one or more of the following indices)

i. Service information: service flow identification (IP quintuple, QoS flow ID, etc.), service type identification (e.g., 5G 5QI, 5G QoS, slice identification NSSAI), service characteristic parameters (e.g., QoS profile, delay, guaranteed rate, maximum rate, packet loss, etc.), service type determination (video, game, VR, payment, etc.), service scenario determination (car networking, hospital networking, industrial networking, etc.);

user information: including user identification, user type (high speed movement, low speed movement, VIP, non-VIP, etc.);

network environment and resource status

1. A network load;

2. a buffer status of the base station, such as PDCP buffer status (buffer occupancy, available buffer, etc.);

3. air interface channel quality, etc.

Target management:

1. the expected target is: service level protocols (number of service users, guaranteed resource occupation, maximum resource occupation, and the like, user service rate), QoS indexes (delay, guaranteed rate, and the like), KQI (not stuck, rate setting), QoE (such as target average satisfaction, target minimum satisfaction, target satisfaction distribution, average opinion score, such as satisfaction/dissatisfaction, such as 1-5,0-4,1-10, and the like, represent different satisfaction levels);

2. and (3) state judgment: the current service level protocol index measurement (number of service users, user service rate, user rejection rate, etc.), QoS (time delay over expectation, etc.), KQI (calorie, calorie statistics, code rate equalization, etc.), QoE value or value range, QoE lower than expectation, etc. b) The specific actions include:

i. non-RRM behavioral categories

1. Service decision information: such as video decisions, VR decisions, etc., specifically decisions based on conditions of the traffic stream identification;

KQI index determination: such as a stuck determination, specifically, a determination based on a packet interval or the like;

QoE score judgment: for example, a rule for QoE scoring is performed based on KQI status judgment;

QoE execution behavior: adjusting or supplementing QoS parameters may be performed for a single user or a group of users or services, such as raising video stream priority, MBR, and/or guaranteeing how long, and/or guaranteeing bandwidth (10Mbps) or providing (1Mbit) data traffic for a preset time (e.g., 100 ms).

Rrm behavior classes

1. Radio bearer management, configuration of multiple connections and the like, and or support of reliable data guarantee methods such as PDCP (packet data convergence protocol) duplicate and the like;

2. connecting mobility management and optimizing mobility parameters;

3. radio resource management (QoS management, DRM), such as a mapping relationship of QoS profile to DRB, a type of configured DRB, DRB specific configuration (such as RLC configuration modification, logical channel configuration modification, priority configuration modification, MAC prioritized bitrate configuration, etc.), MAC pre-scheduling, etc.;

MR measurement report management, function index monitoring and reporting; carrying out data collection required by strategy condition judgment;

5. device resource allocation such as PDCP buffer size, etc.;

function and/or model execution behavior, such as artificial intelligence/machine learning (AI/ML) function model execution, and/or function application execution, etc.;

at least one of storing execution results, receiving execution inputs, and sending execution results;

event condition (event) triggered behavior. Specifically, for example, for TCP, in order to detect three-way handshake of TCP, in combination with the above condition, for example, the traffic type is video, corresponding actions are performed: and the service priority is improved, or pre-scheduling is executed, or the service guarantee rate is configured, so that the initial buffering time delay of the video is ensured to be reduced.

Model feedback comprising the results obtained from feedback model execution and/or the effect or performance of feedback model execution. For example:

QoE assessment feedback policy, requiring periodic, or event-triggered, triggering of actions: the QoE assessment bearer module (such as the second unit or the base station) feeds back a QoE assessment result to the first unit, optionally including a calculation method and parameters of the fed QoE, including a smoothing method, smoothing parameters, and the like.

2. And configuring a model result or effect feedback strategy, and configuring a second unit feedback model execution module to count the times of identifying the target service, the times of pausing identified in the KQI, the pausing duration and the like.

2. The second unit receives the policy and may include the model or function to which the policy relates; based on the policy, and possibly the model and function, and the real-time data input, the conditions of the policy are determined and the policy function is executed. Specifically, for example, the second unit may put the real-time user stream into the service identification function, determine that the service is a video, and determine that video blocking is imminent based on the KQI prediction, according to the policy provided by the first unit,

a) for the architecture shown in fig. 4, the second unit sends QoE performing actions (described above) to the base station, such as raising the priority of the video stream, and either guaranteeing how long, and either guaranteeing bandwidth (10Mbps) or providing (1Mbit) data traffic for a predetermined time (such as 100ms), as,

b) for the architectures shown in fig. 5-6, the second unit sends RRM auxiliary information or RRM control or policy information to the base station, such as providing suggestions to modify MAC logical channel priority, change DRB mapping, and the like

3. The base station receives the execution result from the second unit, specifically as the ratio:

a) the architecture shown in fig. 4 receives QoE execution output provided by the second unit, and mainly includes QoS revision supplement, such as adding new QoS flow ID for a corresponding service, such as priority, or adding new QoS related parameters, such as ensuring how large data volume is transmitted in a short time; the base station performs RRM management based on the received QoS parameters. The RRM management performed by the base station may be based on receiving a configuration, e.g. from the first unit or the network manager, translating into a parameter that the base station can recognize, e.g. configuration update of the DRB, etc., and performing it.

b) In the architecture shown in fig. 5, the base station receives the corresponding logic configuration and performs the RRM synthesis decision.

c) The architecture shown in fig. 6, the base station performs RRM decisions.

Two examples of policies in embodiments of the invention are also provided below.

In particular, the policy may be characterized by a table, which may be generated by experience or big data extraction or artificial intelligence of the first unit. The table may be semi-static.

Table 1: mapping strategy schematic table of Qos flow to DRB

In the policy example of table 1, the condition is [ QoS flow profile, e.g.5qi ID, or data rate, etc. ], QoE evaluation value ], and the action is the type of configured DRB, or specific DRB related configuration, such as MAC prioritized bit rate configuration (prioritized bit rate), mobility index optimization, enhanced performance monitoring, configuration-defined optimization function execution (including through some models, modules, applications, etc.).

Table 2 provides a policy schema table of SLA to DRB mapping.

Table 2: SLA to DRB mapping relation schematic table

In addition, in the embodiment of the present invention, the QoE may be a result of RRM aggregation, such as a weight, a bandwidth, a throughput, a delay, and other common parameters. One or more service identification units, key quality index prediction/evaluation units, experience quality prediction/evaluation units, service quality parameter processing units, and the like in fig. 4 to 6 may exist.

Fig. 7 and fig. 8A to 8B also show two examples of the interaction flow when the service processing is performed between the first unit, the second unit and the base station. The detailed flow refers to the description of each step in the figure.

FIGS. 9-10 also show other examples of systems to which the process flows shown in FIGS. 1-3 are applicable.

Compared with fig. 4, the service identification unit, the key quality index prediction/evaluation unit, the quality of experience prediction/evaluation unit and the quality of service parameter processing unit are placed at the first unit and the radio resource management unit is placed at the second unit in fig. 9. Compared with fig. 9, in fig. 10, a part of the radio resource management function is placed in the second unit, and another part of the radio resource management function is placed in the base station, and it can be seen that the second unit in fig. 10 includes the first radio resource management unit, and the base station further includes the second radio resource management unit, and the first radio resource management unit is configured to perform radio resource management, obtain a decision of radio resource management, and send the decision to the base station.

When the method shown in fig. 1 is applied to the systems shown in fig. 9 to 10, in step 11, the first unit generates at least one of a fourth policy, a fourth object, and a fourth command for service processing, then executes at least one of the fourth policy, the fourth object, and the fourth command, generates at least one of a first policy, a first object, and a first command related to service processing, and sends the generated at least one of the first policy, the first object, and the first command to the second unit, and/or generates at least one of a second policy, a second object, and a second command related to service processing, and sends the generated at least one of the second policy, the second object, and the second command to the base station.

Here, executing at least one of the fourth policy, the fourth object, and the fourth command may specifically include at least one of:

executing service identification to obtain service judgment information;

performing prediction or evaluation of a key quality indicator of the service;

performing quality of experience prediction or assessment of a service

Adjusting or supplementing service quality parameters of the service;

Optionally, the first unit generates at least one of a fourth policy, a fourth object, and a fourth command of the business process;

the first unit executes at least one of the fourth strategy, the fourth object and the fourth command, generates at least one of a first strategy, a first object and a first command related to service processing and sends the at least one of the first strategy, the first object and the first command to the second unit, and/or generates at least one of a second strategy, a second object and a second command related to service processing and sends the at least one of the second strategy, the second object and the second command to the base station.

Optionally, the first policy, the first object, and the first command include: a model and/or application of at least one of business identification, business analysis, and business management; the second policy, the second object, and the second command include: at least one of a mapping relationship between the service identification result and the radio resource management behavior, a mapping relationship between the service analysis result and the radio resource management behavior, and a mapping relationship between the service management result and the radio resource management behavior.

Optionally, the first policy, the first object, and the first command include: business identification models and/or applications; the second policy, the second object, and the second command include: at least one of a service analysis model, a service analysis application, a service management model, a service management application, a mapping relationship between a service identification result and a radio resource management behavior, a mapping relationship between a service analysis result and a radio resource management behavior, and a mapping relationship between a service management result and a radio resource management behavior.

Optionally, the first unit may also generate quality of experience and/or quality of experience assessment and guidance and send to the second unit.

Optionally, the first unit may further send policy priority information to the base station, so that the base station performs arbitration decision and execution when receiving the radio resource management related information sent by the second unit.

When the method shown in fig. 2 is applied to the systems shown in fig. 9 to 10, the second unit generates, in step 22, radio resource management auxiliary information or control information for a user, a service, or a user type or a service type according to the information received from the first unit, and sends the radio resource management auxiliary information or control information to the base station.

When the method shown in fig. 3 is applied to the systems shown in fig. 9 to 10, in step 32, the base station performs arbitration determination and execution on the radio resource management auxiliary information or control information for the user, the service, the user type, or the service type, which is sent by the second unit, according to the policy priority information sent by the first unit.

As can be seen from the architectures of FIGS. 9-10, the division of work for each node is roughly as follows:

1) the first unit generates QoE and/or QoS decisions and guidance, including parameters such as traffic characteristics or characteristic adjustment metrics or metrics desired goals, such as weight, bandwidth, throughput, latency, etc; or the first unit provides a strategy to the second unit, and the resource occupation of the user and/or the service and/or the user type and/or the service type is required to be restricted;

optionally, the first unit sends the policy priority information to the base station, so that the base station performs arbitration judgment and execution when receiving the RRM related information of the second unit.

2) The second unit receives the policy and either qoe and either qos decision and guidance, and if there is policy guidance, generates RRM assistance information or control information for the user and either the service and either the user type and either the service type based on the policy guidance, and distributes the RRM assistance information or the control information to the base station.

3) And the base station receives the execution result from the second unit and performs execution or adaptation.

Optionally, the base station receives the priority policy information from the first unit, and performs the RRM function comprehensively

Fig. 11 also shows an example of an interaction flow when performing service processing among the first unit, the second unit and the base station based on the system architecture of fig. 9 to 10. The detailed flow refers to the description of each step in the figure.

FIGS. 12-14 also show other examples of systems to which the process flows shown in FIGS. 1-3 are applicable.

Compared to fig. 4, the key quality indicator prediction/evaluation unit, the quality of experience prediction/evaluation unit and the quality of service parameter processing unit are placed at the base station in fig. 12. In contrast to fig. 12, the key quality indicator prediction/evaluation unit and the quality of experience prediction/evaluation unit are placed in the second unit process in fig. 13. Compared with fig. 12, fig. 14 shows that the service identification unit, the key quality index prediction/evaluation unit and the experience quality prediction/evaluation unit are disposed in the first unit for processing, the service quality parameter processing unit is disposed in the second unit, a part of the radio resource management functions is disposed in the second unit, and another part of the radio resource management functions is disposed in the base station. It can be seen that the second unit in fig. 14 includes a first radio resource management unit, and the base station further includes a second radio resource management unit, and the first radio resource management unit is configured to perform radio resource management, obtain a decision for radio resource management, and send the decision to the base station.

As can be seen from the architectures of FIGS. 12-14, the first element generates a model and/or application and/or corresponding policy. The second unit obtains one or more service information such as service identification, service experience prediction, QoE scoring and the like based on the model, or the application, and or the strategy, and sends the service information to the base station. The base station performs the base station function based on the information provided by the second unit, as well as the OAM or policy of the first unit.

The flow among the nodes based on the above architecture mainly comprises:

1. the method comprises the steps that a first unit generates a strategy and an or function model, the strategy specifies different behaviors to be executed under different conditions and sends the different behaviors to a second unit and a base station, wherein the function model of a module related to service is sent to the second unit, and the function related to network behavior management is sent to the base station; quality of service management (e.g., KQI prediction, QoE prediction in the figure), which may be optionally placed to the second unit or base station;

a) quality of service management is put to the second unit, which sends a quality of service expectation to the base station.

i. To the second unit's policy and/or function example: a service identification model and/or method, and/or a quality of service decision model or method;

policy and or function examples to the base station: the service quality expectation, and either the service quality decision, the service quality gap (target and actual) and the radio RRM behavior mapping relationship.

b) And the service quality management is put to the base station, the second unit only sends service identification information to the base station, and the service identification is bound with the service identification information known by the base station. Such as providing service identification information for a particular QoS flow for a particular user.

i. To the second unit's policy and/or function example: a business recognition model or method;

policy and or function examples to the base station: a service quality judgment method, and either a service quality expectation, and either a service type or a service quality judgment, a service quality gap, and a wireless RRM behavior mapping relation.

2. The second unit receives the strategy, executes the function based on the strategy, and distributes the execution result to the base station.

i. And sending a service quality judgment to the base station through an interface with the base station, expecting whether the QoE is expected to occur or not, and the like.

b) And the service quality management is put on the base station, the second unit only sends service identification information to the base station, and the service identification is bound with the service identification information known by the base station. Such as providing service identification information for a particular QoS flow for a particular user.

i. Service identification information, such as video-type services, is sent to the base station through an interface with the base station, so that the base station can perform corresponding quality evaluation and service guarantee functions based on service discrimination. And 3, the base station receives the strategy and/or the function from the first unit, receives the execution result from the second unit and performs base station control.

Fig. 15 also shows an example of an interaction flow when performing service processing between the first unit, the second unit and the base station based on the system architecture of fig. 12 to 14. The detailed flow refers to the description of each step in the figure.

According to at least one embodiment of the invention, the first unit and/or the second unit may be located at a core network node. Fig. 16 is implemented by a core network node as the second unit, and provides an example of an interaction flow when performing service processing between nodes. The detailed flow refers to the description of each step in the figure.

According to at least one embodiment of the present invention, the core network may be a third party executing a part of the functional modules, and fig. 17 provides an example of an architecture in which a core network node (CN) implements functions of a service identification unit, a key quality indicator prediction/evaluation unit, and a quality of experience prediction/evaluation unit. In addition, in fig. 17, a part of the radio resource management function is placed in the second unit, and another part of the radio resource management function is placed in the base station. It can be seen that the second unit in fig. 17 includes a first radio resource management unit, and the base station further includes a second radio resource management unit, where the first radio resource management unit is configured to perform radio resource management, obtain a decision for radio resource management, and send the decision to the base station.

Fig. 18 shows an example of an interaction flow when a service is processed between nodes based on the system architecture of fig. 17. The detailed flow refers to the description of each step in the figure.

Various system architectures to which embodiments of the present invention may be applied are presented above in terms of several figures. It should be noted that the above illustration is only a part of the system architecture that can be adopted by the embodiment of the present invention. The service processing method of the embodiment of the invention can also be applied to other architectures besides the above architecture. For example:

1) the functions of the base station and the second unit may be deployed in one device;

2) the specific functions of the first unit and the second unit may be implemented by one unit of the CN and the RAN, respectively.

3) The specific functions of the first unit and the second unit may be implemented by the CN, especially for the case where the second unit does not have the RRM function. When the quality of service parameter handling unit is executed by the CN, the QoS assistance information or QoS control commands may be passed by the CN over an interface with the RAN.

4) The CN may act as a third party with respect to the RAN, performing part of the module functions and policies, the policy origin of which may be distinct from the RAN.

5) In addition to using the first unit and the second unit as the first platform and the second platform, respectively, an architecture under O-RAN is also an architecture that can be implemented.

Based on the method, the embodiment of the invention also provides the first unit, the second unit and the base station for implementing the method.

Referring to fig. 19, a first unit 190 according to an embodiment of the present invention includes:

a processor 191 configured to generate at least one of a first policy, a first object, and a first command associated with a business process, and/or generate at least one of a second policy, a second object, and a second command associated with a business process, the business process including at least one of business identification, business analysis, business management, and radio resource management, the policy comprising: a goal of business processing, and at least one of behavior under different conditions and/or events;

a transceiver 192 for transmitting at least one of the first policy, the first object and the first command to the second unit and/or for transmitting at least one of the second policy, the second object and the second command to the base station.

Further in accordance with at least one embodiment of the present invention, the processor is further configured to generate at least one of a fourth policy, a fourth object, and a fourth command for business processing; and executing at least one of the fourth strategy, the fourth object and the fourth command, generating at least one of a first strategy, a first object and a first command related to business processing, and/or generating at least one of a second strategy, a second object and a second command related to business processing.

Further in accordance with at least one embodiment of the present invention, the processor, when executing at least one of the fourth policy, the fourth object, and the fourth command, is further configured to execute at least one of the following processes:

executing service identification to obtain service judgment information;

performing prediction or evaluation of a key quality indicator of the service;

performing quality of experience prediction or assessment of a service

Adjusting or supplementing service quality parameters of the service;

Further in accordance with at least one embodiment of the present invention, the processor is further configured to generate and send quality of experience and/or quality of experience assessment and guidance to the second unit.

Furthermore, according to at least one embodiment of the present invention, the transceiver is further configured to transmit policy priority information to the base station, so that the base station performs arbitration decision and execution when receiving the radio resource management related information transmitted by the second unit.

Further in accordance with at least one embodiment of the present invention, the first policy, the first object, and the first command that the transceiver transmits to the second unit include: a business identification model/method, and/or a quality of service assessment model/method;

the second policy, the second object, and the second command transmitted by the transceiver to the base station include: at least one of a service quality expectation target, a service type judgment, a service quality evaluation, a mapping relation between a service quality gap and a radio resource management behavior, a mapping relation between a service type judgment and a radio resource management behavior, and a mapping relation between a service quality evaluation and a radio resource management behavior.

Further, in accordance with at least one embodiment of the present invention, the first policy, the first object, and the first command include: a business recognition model/method; the second policy, the second object, and the second command include: a service quality evaluation model/method, a service quality expectation objective, a service type determination, a service quality evaluation, at least one of a mapping relationship between a service quality gap and a radio resource management behavior, a mapping relationship between a service type determination and a radio resource management behavior, and a mapping relationship between a service quality evaluation and a radio resource management behavior.

Further in accordance with at least one embodiment of the present invention, the quality of service includes a quality of experience of the service and/or a quality of key quality of the service.

Referring to fig. 20, another schematic structural diagram of a first unit 2000 according to an embodiment of the present invention includes: a processor 2001, a transceiver 2002, a memory 2003, and a bus interface, wherein:

in an embodiment of the present invention, the first unit 2000 further includes: a computer program stored on the memory 2003 and executable on the processor 2001, the computer program when executed by the processor 2001 performing the steps of: generating at least one of a first policy, a first object and a first command related to service processing and sending the at least one of the first policy, the first object and the first command to a second unit, and/or generating at least one of a second policy, a second object and a second command related to service processing and sending the at least one of the second policy, the second object and the second command to a base station, wherein the service processing comprises at least one of service identification, service analysis, service management and wireless resource management, and the policy comprises: a goal of the business process, and at least one of behavior under different conditions and/or events.

In fig. 20, the bus architecture may include any number of interconnected buses and bridges, with one or more processors, represented by processor 2001, and various circuits of memory, represented by memory 2003, being linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface. The transceiver 2002 may be a plurality of elements including a transmitter and a receiver providing a means for communicating with various other apparatus over a transmission medium.

The processor 2001 is responsible for managing a bus architecture and general processing, and the memory 2003 may store data used by the processor 2001 in performing operations.

Optionally, the computer program when executed by the processor 2001 may further implement the steps of:

generating at least one of a fourth policy, a fourth object and a fourth command for business processing;

executing at least one of the fourth strategy, the fourth object and the fourth command, generating at least one of a first strategy, a first object and a first command related to service processing and sending the same to the second unit, and/or generating at least one of a second strategy, a second object and a second command related to service processing and sending the same to the base station

executing at least one of the fourth policy, the fourth object, and the fourth command, including at least one of:

executing service identification to obtain service judgment information;

performing prediction or evaluation of a key quality indicator of the service;

performing quality of experience prediction or assessment of a service

Adjusting or supplementing service quality parameters of the service;

performing radio resource management to obtain decisions for radio resource management

quality of experience and/or quality of experience assessments and directions are generated and sent to the second unit.

and sending the strategy priority information to the base station so that the base station carries out arbitration judgment and execution when receiving the wireless resource management related information sent by the second unit.

Optionally, the first policy, the first object, and the first command sent to the second unit include: a business identification model/method, and/or a quality of service assessment model/method; the second policy, the second object, and the second command transmitted to the base station include: at least one of a service quality expectation target, a service type judgment, a service quality evaluation, a mapping relation between a service quality gap and a radio resource management behavior, a mapping relation between a service type judgment and a radio resource management behavior, and a mapping relation between a service quality evaluation and a radio resource management behavior.

Optionally, the first policy, the first object, and the first command include: a business recognition model/method; the second policy, the second object, and the second command include: a service quality evaluation model/method, a service quality expectation objective, a service type determination, a service quality evaluation, at least one of a mapping relationship between a service quality gap and a radio resource management behavior, a mapping relationship between a service type determination and a radio resource management behavior, and a mapping relationship between a service quality evaluation and a radio resource management behavior.

Optionally, the quality of service includes a key quality of service, and/or a quality of experience of the service.

Referring to fig. 21, a second unit 210 according to an embodiment of the present invention includes:

a transceiver 212, configured to receive at least one of a first policy, a first object and a first command related to a service process sent by the first unit, where the service process includes at least one of service identification, service analysis, service management and radio resource management, and the policy includes: a goal of business processing, and at least one of behavior under different conditions and/or events;

and a processor 211, configured to execute at least one of the first policy, the first object, and the first command sent by the first unit, and send an execution result to a base station.

Optionally, the processor is further configured to execute at least one of the first policy, the first object, and the first command sent by the first unit, obtain an intermediate result, and generate at least one of a third policy, a third object, and a third command related to service processing according to the intermediate result;

Optionally, the processor is further configured to execute at least one of the first policy, the first object, and the first command sent by the first unit, where the at least one of the first policy, the first object, and the first command includes at least one of:

executing service identification to obtain service judgment information;

performing prediction or evaluation of a key quality indicator of the service;

performing quality of experience prediction or assessment of a service

Adjusting or supplementing service quality parameters of the service;

Optionally, the processor is further configured to determine whether at least one of the first policy, the first object, and the first command needs to be executed based on current data input, and when it is determined that execution is needed, execute the first policy, and send an execution result to the base station.

Optionally, the transceiver is further configured to send a qos parameter adjustment or supplementation to the base station, where the qos parameter adjustment or supplementation includes at least one of: adjusting the service quality of the data service, setting the guarantee time of the data service, and guaranteeing to provide preset flow in preset time; the service quality comprises at least one of time delay, bandwidth, priority, reliability and packet loss rate; and/or the presence of a gas in the gas,

Optionally, the processor is further configured to generate, according to the received first policy, radio resource management auxiliary information or control information for a user, a service, or a user type or a service type, and send the radio resource management auxiliary information or control information to the base station.

Optionally, the transceiver is further configured to send the quality of service target expectation to the base station.

Optionally, the transceiver is further configured to send service identification information to the base station, so that the base station performs corresponding service quality assessment and service guarantee functions based on the service identification information.

Referring to fig. 22, another schematic structure diagram of the second unit 2200 provided in the embodiment of the present invention includes: a processor 2201, a transceiver 2202, a memory 2203, and a bus interface, wherein:

in an embodiment of the present invention, the second unit 2200 further includes: a computer program stored on the memory 2203 and executable on the processor 2201, the computer program, when executed by the processor 2201, performing the steps of: receiving at least one of a first policy, a first object and a first command related to a service process sent by a first unit, wherein the service process includes at least one of service identification, service analysis, service management and radio resource management, and the policy includes: a goal of business processing, and at least one of behavior under different conditions and/or events; and executing at least one of the first strategy, the first object and the first command sent by the first unit, and sending an execution result to a base station.

In fig. 22, the bus architecture may include any number of interconnected buses and bridges, with one or more processors, represented by processor 2201, and various circuits, represented by memory 2203, linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface. The transceiver 2202 may be a plurality of elements, i.e., including a transmitter and a receiver, providing a means for communicating with various other apparatus over a transmission medium.

The processor 2201 is responsible for managing the bus architecture and general processing, and the memory 2203 may store data used by the processor 2201 in performing operations.

Optionally, the computer program, when executed by the processor 2201, may further implement the following steps:

executing at least one of the first policy, the first object and the first command sent by the first unit to obtain an intermediate result, and generating at least one of a third policy, a third object and a third command related to business processing according to the intermediate result; and transmitting at least one of a third policy, a third object and a third command to the base station.

executing at least one of the first policy, the first object, and the first command sent by the first unit, including at least one of:

executing service identification to obtain service judgment information;

performing prediction or evaluation of a key quality indicator of the service;

performing quality of experience prediction or assessment of a service

Adjusting or supplementing service quality parameters of the service;

and judging whether at least one of the first strategy, the first object and the first command needs to be executed or not based on the current data input, executing and sending an execution result to the base station when judging that the execution is needed.

sending quality of service parameter adjustment or supplementation to a base station, wherein the quality of service parameter adjustment or supplementation comprises at least one of the following: adjusting the service quality of a data service, setting the guarantee time of the data service, and guaranteeing that a preset flow is provided within a preset time; the service quality comprises at least one of time delay, bandwidth, priority, reliability and packet loss rate; and/or the presence of a gas in the gas,

and generating the radio resource management auxiliary information or the control information facing the user, the service or the user type or the service type according to the received first strategy, and sending the radio resource management auxiliary information or the control information to the base station.

a quality of service target expectation is transmitted to the base station.

and transmitting the service identification information to the base station so that the base station performs corresponding service quality evaluation and service guarantee functions based on the service identification information.

Referring to fig. 23, a base station 230 according to an embodiment of the present invention includes:

a transceiver 232, configured to receive at least one of a second policy, a second object, and a second command related to service processing sent by the first unit, and/or receive at least one of a third policy, a third object, and a third command sent by the second unit; wherein the service processing includes at least one of service identification, service analysis, service management and radio resource management, and the policy includes: a goal of business processing, and at least one of behavior under different conditions and/or events;

a processor 231 configured to perform decisions for radio resource management.

Optionally, the second policy is a policy for specifying that the base station executes the third policy.

Optionally, the processor is further configured to execute at least one of the second policy, the second object, and the second command, and/or execute at least one of the third policy, the third object, and the third command.

Optionally, the processor is further configured to execute at least one of the second policy, the second object, and the second command, and/or execute at least one of the third policy, the third object, and the third command, where the at least one of the second policy, the second object, and the second command includes at least one of:

executing service identification to obtain service judgment information;

performing prediction or evaluation of a key quality indicator of the service;

performing quality of experience prediction or assessment of a service

Adjusting or supplementing service quality parameters of the service;

Optionally, the processor is further configured to receive a quality of service parameter or a policy related to radio resource management sent by the second unit, perform radio resource management, and obtain and execute a decision of radio resource management;

or, according to the received radio resource management auxiliary information or control information sent by the second unit, executing the radio resource management decision.

Optionally, the processor is further configured to perform arbitration decision and execution on the radio resource management auxiliary information or control information facing to the user, the service, or the user type or the service type, which is sent by the second unit, according to the policy priority information sent by the first unit.

Optionally, the processor is further configured to receive a qos expected target sent by the second unit, and execute a decision of radio resource management according to the qos expected target.

Optionally, the processor is further configured to receive service identification information sent by the second unit; and executing corresponding service quality evaluation and service guarantee functions according to the service identification information.

Referring to fig. 24, another schematic structural diagram of a base station 2400 provided in the embodiment of the present invention includes: a processor 2401, a transceiver 2402, a memory 2403, and a bus interface, wherein:

in this embodiment of the present invention, the base station 2400 further includes: a computer program stored on the memory 2403 and executable on the processor 2401, the computer program when executed by the processor 2401 implementing the steps of: generating at least one of a first policy, a first object and a first command related to service processing and sending the at least one of the first policy, the first object and the first command to a second unit, and/or generating at least one of a second policy, a second object and a second command related to service processing and sending the at least one of the second policy, the second object and the second command to a base station, wherein the service processing comprises at least one of service identification, service analysis, service management and wireless resource management, and the policy comprises: a goal of the business process, and at least one of behavior under different conditions and/or events.

In FIG. 24, the bus architecture may include any number of interconnected buses and bridges, with one or more processors represented by processor 2401 and various circuits of memory represented by memory 2403 being linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface. The transceiver 2402 may be a plurality of elements including a transmitter and a receiver that provide a means for communicating with various other apparatus over a transmission medium.

The processor 2401 is responsible for managing a bus architecture and general processing, and the memory 2403 may store data used by the processor 2401 when performing operations.

Optionally, the computer program when executed by the processor 2401 may further implement the steps of:

and the base station executes at least one of the second strategy, the second object and the second command and/or executes at least one of the third strategy, the third object and the third command.

executing at least one of the second policy, the second object, and the second command, and/or executing at least one of the third policy, the third object, and the third command, including at least one of:

executing service identification to obtain service judgment information;

performing prediction or evaluation of a key quality indicator of the service;

performing quality of experience prediction or assessment of a service

Adjusting or supplementing service quality parameters of the service;

receiving the service quality parameter or the strategy related to the radio resource management sent by the second unit, performing the radio resource management, and obtaining and executing the decision of the radio resource management;

and performing arbitration judgment and execution on the radio resource management auxiliary information or control information which is sent by the second unit and faces to the user, the service or the user type or the service type according to the strategy priority information sent by the first unit.

receiving service identification information sent by a second unit;

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one type of logical functional division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part of the technical solution that substantially contributes to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the business processing method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method for processing a service, comprising:

the method comprises the following steps that a first unit generates at least one of a first strategy, a first object and a first command related to business processing and sends the strategy to a second unit, and/or generates at least one of a second strategy, a second object and a second command related to the business processing and sends the strategy to a base station, wherein the business processing comprises at least one of business identification, business analysis, business management and wireless resource management, and the strategy comprises the following steps: a goal of business processing, and at least one of behavior under different conditions and/or events;

the first unit is a non-real-time wireless network intelligent controller, and the second unit is a near-real-time wireless network intelligent controller.

2. The business process method of claim 1, wherein the object is an object for business process comprising at least one of a model, a function, and an application.

3. The traffic processing method according to claim 1,

the service analysis comprises at least one of service level agreement index prediction of the service, service level agreement index evaluation of the service, service quality prediction, service quality evaluation, key quality index prediction of the service, key quality index evaluation of the service, experience quality prediction of the service and experience quality evaluation of the service;

the radio resource management comprises at least one of radio bearer management, radio connection management, connection mobility management, mobility parameter optimization, radio resource dynamic allocation and measurement report management.

4. The traffic processing method according to claim 1,

the target of the service processing comprises at least one of a service level agreement target value, a service quality target value, a key quality index target value and an experience quality target value.

5. The traffic processing method according to claim 1,

the conditions and/or events include one or more of the following indicators: service information, user information, network environment and resource status, target index status and target index status change; wherein the content of the first and second substances,

6. The traffic processing method of claim 1, wherein the behavior comprises a radio resource management behavior;

7. The traffic processing method of claim 1, wherein the behavior comprises a non-radio resource management behavior;

8. A transaction method according to claim 1 or 4, in which the behaviour comprises adjusting the goal of the transaction.

9. A transaction method according to claim 1, in which the behaviour comprises a function and/or model and/or application execution behaviour.

10. The traffic-handling method according to claim 1, wherein the behavior comprises at least one of execution result deposit, execution input reception, and execution result transmission.

11. A transaction method according to claim 1, wherein the behaviour further comprises model feedback including results obtained from feedback model execution and/or effects or performance of feedback model execution.

12. The traffic processing method of claim 1, wherein the first policy, the first object, and the first command comprise at least one of:

judging the service type;

evaluating service level agreement indexes;

predicting service level agreement indexes;

evaluating the service quality;

predicting the service quality;

evaluating business key indexes;

predicting business key indexes;

evaluating a service experience index;

predicting a service experience index;

and evaluating the difference between the measuring result of the experience quality index and the target value of the experience quality index.

13. The traffic processing method of claim 1, further comprising:

14. The traffic processing method according to claim 1,

the first policy, the first object, and the first command include: a model and/or application of at least one of business identification, business analysis, and business management;

15. The traffic processing method according to claim 1,

the first policy, the first object, and the first command include: business identification models and/or applications;

the second policy, the second object, and the second command include: and at least one of a service analysis model, a service analysis application, a service management model, a service management application, a mapping relationship between a service identification result and a radio resource management behavior, a mapping relationship between a service analysis result and a radio resource management behavior, and a mapping relationship between a service management result and a radio resource management behavior.

16. A method for processing a service, comprising:

the second unit executes at least one of the first strategy, the first object and the first command sent by the first unit and sends an execution result to the base station;

17. The traffic processing method according to claim 16,

the executing at least one of the first policy, the first object and the first command sent by the first unit includes: the second unit executes at least one of the first strategy, the first object and the first command sent by the first unit to obtain an intermediate result, and generates at least one of a third strategy, a third object and a third command related to service processing according to the intermediate result;

18. The traffic processing method of claim 16, further comprising:

executing service identification to obtain service judgment information;

performing prediction or evaluation of a key quality indicator of the service;

performing quality of experience prediction or assessment of a service

Adjusting or supplementing service quality parameters of the service;

19. The traffic processing method of claim 16, further comprising:

20. The traffic-handling method according to claim 16, wherein sending the execution result to the base station comprises at least one of:

21. The traffic processing method of claim 16, further comprising:

22. The traffic processing method of claim 16, wherein sending the execution result to the base station comprises:

and transmitting the service quality target value to the base station.

23. The traffic processing method of claim 16, wherein sending the execution result to the base station comprises:

24. A service processing method of an access network is characterized by comprising the following steps:

the base station performs a decision of radio resource management;

25. The traffic processing method of claim 24,

the second policy is a policy for specifying that the base station executes the third policy.

26. The traffic processing method of claim 24, further comprising:

27. The traffic processing method of claim 26, wherein executing at least one of the second policy, the second object, and the second command, and/or executing at least one of the third policy, the third object, and the third command comprises at least one of:

executing service identification to obtain service judgment information;

performing prediction or evaluation of a key quality indicator of the service;

performing quality of experience prediction or assessment of a service

Adjusting or supplementing service quality parameters of the service;

and executing the wireless resource management to obtain the decision of the wireless resource management.

28. The traffic processing method of claim 24, wherein performing a decision for radio resource management comprises:

or the base station executes the radio resource management decision according to the received radio resource management auxiliary information or control information sent by the second unit.

29. The traffic processing method of claim 24, further comprising:

and the base station carries out arbitration judgment and execution on the radio resource management auxiliary information or the control information which is sent by the second unit and faces to the user, the service or the user type or the service type according to the strategy priority information sent by the first unit.

30. The traffic-handling method according to claim 24, wherein the performing a decision for radio resource management comprises:

31. The traffic processing method of claim 24, wherein performing a decision for radio resource management comprises:

receiving service identification information sent by a second unit;

32. A first cell, comprising:

a processor, configured to generate at least one of a first policy, a first object and a first command related to a business process and/or at least one of a second policy, a second object and a second command related to the business process, the business process including at least one of business identification, business analysis, business management and radio resource management, by a first unit, the policy comprising: a goal of business processing, and at least one of behavior under different conditions and/or events;

a transceiver for transmitting at least one of the first policy, the first object and the first command to a second unit and/or transmitting at least one of the second policy, the second object and the second command to a base station;

33. A second unit, comprising:

the processor is used for executing at least one of the first strategy, the first object and the first command sent by the first unit and sending an execution result to a base station;

34. A base station, comprising:

a processor configured to perform a decision for radio resource management;

35. A communication device, comprising: memory, processor and program stored on the memory and executable on the processor, which when executed by the processor implements the steps of the business process method of any one of claims 1 to 31.

36. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the traffic processing method according to any one of claims 1 to 31.