CN114258035A

CN114258035A - Communication method, device and system

Info

Publication number: CN114258035A
Application number: CN202010990421.9A
Authority: CN
Inventors: 李业兴; 王耀光; 李贤明
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2020-09-19
Filing date: 2020-09-19
Publication date: 2022-03-29
Anticipated expiration: 2040-09-19
Also published as: WO2022057564A1; CN114258035B

Abstract

The application discloses a communication method, a device and a system. The method comprises the following steps: the method comprises the steps that a first network element obtains performance data in an intention execution process, wherein the intention comprises a first intention target and a second intention target; the first network element determines that the second intention objective is not achieved according to the performance data in the intention execution process; the first network element translates the intention according to the second intention target to obtain a first translation result; and the first network element sends a first execution command corresponding to the first translation result to a second network element. Corresponding apparatus and systems are also disclosed. By adopting the scheme of the application, aiming at the intentions comprising more than two intentions, in the intention maintaining stage, the intentions can be translated again, and the execution command is adjusted according to the intention translation result, so that the probability of achieving the intention target is improved.

Description

Communication method, device and system

Technical Field

The present application relates to the field of network intelligent management technologies, and in particular, to a communication method, apparatus, and system.

Background

In an intention-based Experiential Network Intelligence (ENI) fusion architecture, as shown in fig. 1, an existing intention implementation flow diagram is shown, and an intention implementation process includes intention translation, execution and maintenance. In the intention implementation process, an intention translation function block (intent translation functional block) is responsible for intention translation, and a translated result is sent to a policy management function block (policy management functional block), and the policy management function block performs intention execution and maintenance.

As shown in FIG. 1, intent translation occurs only once prior to execution, with the results of the translation being used for intent execution and maintenance (if needed). In the maintaining process of the intention, the functional module such as the policy management module adjusts the intention execution command according to the translation result of the intention translation functional module without the participation of the intention translation functional module, and sends the execution command to an auxiliary system (assisted system) for execution.

However, the following types are intended to be included: the system comprises a configuration class intention, an optimization class intention, a network maintenance class intention and a service guarantee class intention. For the first three intents, the translation of the intent is performed only once, and the translation results can satisfy the requirements of execution and maintenance. For the fourth intent, namely, the business security class intent, a single translation result is not sufficient for the intent execution and maintenance phase. Because for the fourth class of intents, the intended execution command of the intended execution phase is a configuration for a network, and the intended execution command of the intended maintenance phase is an adjustment to the network performance, i.e., a configuration plus optimization class intent.

For configuration plus optimization class intent, the intent commands needed for the intent execution and maintenance phases are different (the intent execution commands are part of the intent translation result), and the command set needed for the intent maintenance phase is affected by the intent execution phase execution commands, and it is difficult to achieve the intent goal in the intent maintenance phase with the same command set.

Therefore, there is a need to solve the problem that the current single translation result cannot satisfy both the intent execution and the intent maintenance.

Disclosure of Invention

The application provides a communication method, a device and a system, which are used for solving the problem that the current single translation result of an intention cannot meet the requirements of intention execution and maintenance at the same time.

In a first aspect, a communication method is provided, the method including: the method comprises the steps that a first network element obtains performance data in an intention execution process, wherein the intention comprises a first intention target and a second intention target; the first network element determines that the second intention objective is not achieved according to the performance data in the intention execution process; the first network element translates the intention according to the second intention target to obtain a first translation result; and the first network element sends a first execution command corresponding to the first translation result to a second network element.

In one possible implementation, before the first network element obtains the performance data in the intention execution process, the method further includes: the first network element translates the intention to obtain a second translation result; the first network element judges the network state and whether the first intention target is achieved, and updates the second translation result according to the judgment result of the network state and whether the first intention target is achieved; and the first network element marking the second translation result and the updated second translation result with a first phase identifier, the first phase identifier being used to mark the second translation result and the updated second translation result for the intent execution process.

In yet another possible implementation, when the first network element determines that the second intended target is not achieved, the method further comprises: the first network element determines to translate the intention again according to the first-stage identification to obtain the first translation result; and the first network element marks the first translation result by adopting a second-stage identifier, wherein the second-stage identifier is used for marking the first translation result for an intention maintenance process.

In yet another possible implementation, the translating, by the first network element, the intent according to the second intent target to obtain a first translation result includes: the first network element acquires an intention expression corresponding to the second intention target; the first network element acquires intention knowledge according to the intention expression corresponding to the second intention target; and the first network element arranges the intention knowledge to obtain a first translation result.

In yet another possible implementation, the first intent targets are network configurations and the second intent targets are adjustments in network performance.

In a second aspect, there is provided a communication apparatus, the apparatus comprising: a processing unit for obtaining performance data in an intent execution process, the intent comprising a first intent target and a second intent target; the processing unit is further configured to determine that the second intent goal is not achieved according to performance data in the intent execution process; the processing unit is further used for translating the intention according to the second intention target to obtain a first translation result; and the transceiver unit is used for sending a first execution command corresponding to the first translation result to a second network element.

In one possible implementation, the processing unit is further configured to translate the intent to obtain a second translation result; the processing unit is further configured to perform a network status determination and a determination on whether the first intention target is achieved, and update the second translation result according to the network status determination and a determination result on whether the first intention target is achieved; and the processing unit further to tag the second translation result and the updated second translation result with a first phase identification, the first phase identification to tag the second translation result and the updated second translation result for the intent execution process.

In yet another possible implementation, the processing unit is further configured to determine to translate the intent again according to the first stage identification when it is determined that the second intent goal is not achieved, resulting in the first translation result; and the processing unit is further configured to mark the first translation result with a second stage identifier, where the second stage identifier is used to mark the first translation result for an intent maintenance process.

In yet another possible implementation, the processing unit is further configured to obtain an intention expression corresponding to the second intention target; the processing unit is further used for acquiring intention knowledge according to the intention expression corresponding to the second intention target; and the processing unit is also used for arranging the intention knowledge to obtain a first translation result.

In a third aspect, a communication device is provided, which may be the first network element in the first aspect or any possible implementation of the first aspect, or a module, such as a chip or a chip system, applied in the first network element. Wherein the communication device comprises at least one processor configured to perform the method of the first aspect or any possible implementation of the first aspect.

The communication device illustratively further comprises a memory coupled with the at least one processor, the at least one processor being configured to perform the method of the first aspect or any possible implementation of the first aspect.

In one possible implementation, the memory is used to store program instructions and data. The memory is coupled to the at least one processor, and the at least one processor may invoke and execute program instructions stored in the memory for performing the method of the first aspect or any possible implementation of the first aspect.

Illustratively, the communication device further comprises a communication interface for the communication device to communicate with other devices. When the communication device is a first network element, the communication interface is a transceiver, an input/output interface, or a circuit, etc.

In one possible design, the communication device includes: at least one processor and a communication interface for performing the method of the first aspect or any possible implementation of the first aspect, in particular comprising: the at least one processor communicates with the outside using the communication interface; the at least one processor is configured to execute the computer program to cause the communication apparatus to perform the method of the first aspect or any possible implementation of the first aspect. It will be appreciated that the external may be an object other than a processor, or an object other than the communication device.

In another possible design, the communication device is a chip or a system of chips. The communication interface may be an input/output interface, interface circuit, output circuit, input circuit, pin or related circuit, etc. on the chip or system of chips. The processor may also be embodied as a processing circuit or a logic circuit.

In a fourth aspect, there is provided a communication system comprising a communication apparatus as described in the second aspect or any one of the second aspect implementations, and a second network element.

In a fifth aspect, there is provided a computer-readable storage medium having stored therein instructions, which, when run on a computer, cause the computer to perform the method of any of the first or second aspects described above.

A sixth aspect provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of the first aspect or any of the first aspects described above.

In a seventh aspect, a chip is provided, where the chip is coupled with a memory, and executes the communication method implemented in the first aspect or any one of the first aspects of the embodiments of the present application.

It should be noted that "coupled" in the embodiments of the present application means that two components are directly or indirectly combined with each other.

Drawings

FIG. 1 is a schematic diagram of a conventional process for implementing the method;

FIG. 2 is a schematic diagram of an intention-based Experiential Network Intelligence (ENI) architecture;

fig. 3 is a schematic diagram of a communication system suitable for the present application;

FIG. 4 is an architectural diagram of an exemplary Open Network Automation Platform (ONAP);

fig. 5 is a flowchart illustrating a communication method according to an embodiment of the present application;

FIG. 6 is a flowchart illustrating intent translation and execution in another communication method according to an embodiment of the present application;

FIG. 7 is a flow chart illustrating an intent maintenance method of the communication method shown in FIG. 6;

FIG. 8 is a flow chart illustrating a further intent-to-maintain method of the communication method of FIG. 6;

fig. 9 is a flowchart illustrating another communication method according to an embodiment of the present application;

fig. 10 is a flowchart illustrating another communication method according to an embodiment of the present application;

fig. 11 is a schematic block diagram of a communication device according to an embodiment of the present disclosure;

fig. 12 is a schematic hardware structure diagram of a communication device according to an embodiment of the present disclosure.

Detailed Description

The embodiments of the present application will be described below with reference to the drawings.

ENI defines a cognitive network management architecture that determines a behavior control model based on a direction of observation. It uses Artificial Intelligence (AI) technology and context awareness strategy to adjust the provided services according to the user's needs, environmental conditions and changes of business objectives. The system is empirical in that it learns relevant knowledge from the operator's instructions to improve the actions it takes in the future. This can help operators automate their network configuration and monitoring processes, thereby reducing operational expenses and improving the use and maintenance of their networks.

To mask the differentiation in device vendor implementation, an Intent Driver Management (IDM) is initiated. Only an intention (intent) model is reserved in a Network Management System (NMS), and an intention expression is transmitted to an Element Management System (EMS). The intention expression only describes what to do (what), but not what to do (how), and the intention design can be completed only by having basic concept knowledge in the wireless field, so that the operation and maintenance threshold is reduced.

Thus, an intent-based ENI architecture is defined that is capable of supporting both types of policies (policies) simultaneously, as shown in fig. 2. The ENI system comprises 11 Functional Blocks (FBs) in total, and can be divided into four categories, i.e., an input functional module, an output functional module, an analysis functional module and a decision functional module. The module classification and the function of each type of module are as follows:

an input function module: it includes a data acquisition (data acquisition) function module and a normalization (normalization) function module. The input function module is responsible for receiving data of an external system and carrying out operations such as normalization on the data.

An output function module: it includes an output generation function module and a denormalization function module. The output function module is responsible for converting the internal command of the system into a format which can be processed by an external system and sending the command to the external system.

An analysis function module: the system comprises a knowledge management (knowledge management) function module, a context awareness (context awareness) function module and a cognitive management (cognition management) function module. The analysis function is responsible for performing a perceptual analysis of the existing network context and predicting future network states.

A decision function module: the system comprises a policy management (policy management) function module, a state awareness (state awareness) function module and a model-driven engineering (model-driven engineering) function module. The decision function module generates a new strategy according to the strategy target and arranges the strategy on the basis of sensing the network state, and sends an operation command to the output module.

The ENI further defines functional modules related to intent translation, intent execution, and maintenance. Specifically, the ENI fusion architecture adds an intention knowledge base (intent) in a knowledge management function module, an intention policy execution (intent) sub-function module in a policy management function module, and an independent intent translation (intent translation) function module.

The intent translation function module is used for performing intent translation on the received intent strategy.

The intention knowledge base is used for storing expert experience and network element information, can be used as an independent functional module, and can also be placed in a knowledge management functional module in the existing ENI architecture.

And the intention strategy execution function module is used for realizing the intention execution and maintenance functions, and is responsible for arranging the intention strategies and continuously meeting the intention requirements of the external system.

The intent enforcement process includes intent translation, execution, and maintenance. In the process of the intention implementation, the intention translation function module takes charge of the intention translation, and the translated result is sent to the policy management function module, and the policy management function module executes and maintains the intention. In the process of executing and maintaining the intention, the strategy management function module adjusts the intention executable command according to the achievement condition of the intention.

In addition, in order to better realize the invocation of the intention, an expression mode of the intention is also defined, and the formal expression of the intention model is as follows:

as can be seen from the above expression, a complete intent strategy consists of two parts: intdrivenaction and intdrivenobject represent the execution action and the target of the intention strategy, respectively.

The following types are intended to be included: the system comprises a configuration class intention, an optimization class intention, a network maintenance class intention and a service guarantee class intention. As shown in table 1 below:

TABLE 1

For the first three intents, the translation of the intent is performed only once, and the translation results can satisfy the requirements of execution and maintenance. For the fourth intent, namely, the business security class intent, a single translation result is not sufficient for the intent execution and maintenance phase. Because for the fourth class of intents, the intended execution command of the intended execution phase is a configuration for a network, and the intended execution command of the intended maintenance phase is an adjustment to the network performance, i.e., a configuration plus optimization class intent.

The application provides a communication scheme, aiming at intentions comprising more than two intention targets, in the intention maintaining stage, the intentions can be translated again, and the execution command is adjusted according to the intention translation result, so that the probability of achieving the intention targets is improved.

As shown in fig. 3, which is a schematic diagram of an architecture of a communication system to which the present application is applicable, the communication system 100 includes a first network element 200 and a second network element 300. The first network element 200 may be an ENI system or an ONAP system, and includes a plurality of Functional Blocks (FBs). The second network element 300 may be an assisted system (assisted system). The first network element 200 receives an intention creator, such as an intention support system (OSS-like) or OSS-like functional entity (BSS-like) of a user (user)/Application (APP)/operation support system, and translates the intention to obtain an intention execution command, and sends the intention execution command to the second network element 300 for execution.

Illustratively, the communication system may be an intent based ENI architecture as shown in fig. 2, and may also be an ONAP as shown in fig. 4. ONAP support intents, which include:

the ONAP UUI is used for sending an intention creating instruction and receiving an intention executing result, and the like, and is equivalent to an intention creator of the ENI system, such as a user/APP/OSS-like/BSS-like.

An intention framework (intent frame) for intent execution (intent) includes several functional modules in an intent execution process. Specifically, the method comprises the following steps:

an intention management function module (intent management FB), an intention translation function module, an intention decision function module (intent decision FB), and an intention verification function module (intent verification FB). Wherein, the intent decision FB is equivalent to the intent processing FB in the ENI system.

Active and available libraries (a & AI) whose role is to maintain real-time relationships of resources and services. Here, the resource refers to an element constituting a service, such as a Central Processing Unit (CPU), a storage, a network connection, and a Virtualization Network Function (VNF), and the service is composed of a plurality of resources. The a & AI can be seen as a dynamic resource management library. Which includes an intent knowledge base. The intention translation function module can acquire intention knowledge from A & AI according to the intention keywords.

ONAP data collection analysis and events (data collection analytics and events, DCAE): the longitudinal division is in two parts, the DCAE platform (platform) and the DCAE analysis applications (analytical applications). DCAE platform mainly completes data collection, and these structured or unstructured data can be persisted to what is called a data lake (data lake), while DCAE platform also provides an analysis framework for a series of data. DCAE analytical applications are based on the data analysis framework of DCAE platform and the analysis application of collected data development. Meanwhile, the DCAE also provides a closed-loop feedback capability, and after the analysis application obtains a result, related actions can be called to trigger ONAP Service Orchestration (SO) and ONAP controllers (controllers) to adjust the network service of the existing network.

An ONAP controller: is the core of network control in ONAP, and it can interact with local controllers or network components in various virtual environments through network adapters (network adapters).

ONAP SO: the components perform the specified processes by automatically sequencing the activities, tasks, rules, and policies required to create, modify, or remove network, application, or infrastructure traffic and resources as needed. The SO is arranged at a very high level and provides an end-to-end view of infrastructure, networks, and applications.

ONAP strategy (policy): the strategy is a key link for realizing closed-loop automation and is responsible for maintaining, distributing and processing a strategy rule set. Policies provide a centralized environment for creating and managing easily updated conditional rules.

A management network (managed network).

The following describes the communication method provided by the present application in detail with reference to fig. 1 to 10:

as shown in fig. 5, a flowchart of a communication method provided in an embodiment of the present application is shown, where the method may include the following steps:

s101, the first network element obtains performance data in the intention execution process.

In this embodiment, the intent includes a first intent target and a second intent target. Wherein the first intent goal is network configuration and the second intent goal is adjustment of network performance. For example, the intent may be the business assurance class intent described above, wherein a first intent goal of the intent is configuration and a second intent goal of the intent is performance optimization. The first intent target may be an intent target in an intent execution process and the second intent target may be an intent target in an intent maintenance process.

Before the first network element obtains the performance data in the process of intention execution, the following steps A1-A3 are also included:

a1, the first network element translates the intention to obtain a second translation result.

A2, the first network element judges the network status and whether the first intention goal is achieved, and updates the second translation result according to the judgment result of the network status and whether the first intention goal is achieved.

A3, the first network element marking the second translation result and the updated second translation result with a first phase identification, the first phase identification being used for marking the second translation result and the updated second translation result for the intent execution process.

Specifically, the first network element receives an intention creation request sent by an intention creator, the intention creation request including an intention expression. The intent expression includes an execution action and a target of the intent policy. The first network element translates the intent policy to obtain a second translation result, and the second translation result is used in the intent execution stage. Optionally, the first network element may tag the second translation result with a first phase identifier, the first phase identifier being used to tag the second translation result for the intent execution process.

And in the process of executing the intention, the first network element judges the network state and whether the first intention goal is achieved, and updates the second translation result according to the judgment result of the network state and the judgment result of whether the first intention goal is achieved. Optionally, the first network element may tag the updated second translation result with a first phase identification, the first phase identification being used to tag the updated second translation result for the intent execution process.

The first network element converts and decides the result of the intent translation to obtain an executable command or rule after decision, and finally sends the executable command or rule to the second network element (i.e. an entity influenced by the intent or an entity called intent action) for execution.

The first network element then obtains performance data in the intended execution process. Specifically, the first network element obtains performance data of the entity in the execution intention process from the second network element. The performance data includes network status, etc.

S102, the first network element determines that the second intention goal is not achieved according to the performance data in the intention execution process.

In the intention execution stage, the execution command corresponding to the translation result of the first intention target is mainly executed, and it is also determined whether the network state can satisfy the execution of the first intention target in the execution process, so the first network element may determine whether the second intention target is achieved according to the performance data after acquiring the performance data in the intention execution process.

S103, the first network element translates the intention according to the second intention target to obtain a first translation result.

If it is determined that the second intent goal is not achieved, the first network element may translate the intent again according to the second intent goal to obtain the first translation result.

Specifically, step S103 includes: the first network element acquires an intention expression corresponding to the second intention target;

the first network element acquires intention knowledge according to an intention expression corresponding to the second intention target;

the first network element arranges the intention knowledge to obtain a first translation result.

In a specific implementation process, the first network element obtains an intention expression corresponding to the second intention target, where the intention expression may be the same as an intention expression obtained from the intention creator in the translation stage, or may be obtained by conversion according to an intention expression sent by the intention creator. Alternatively, the first network element may also obtain the service indicator corresponding to the second intention target, without constructing the intention expression. And the first network element acquires intention knowledge from an intention knowledge base according to the intention expression corresponding to the second intention target. After obtaining the intention knowledge, the first network element arranges the intention knowledge obtained according to the intention expression corresponding to the second intention target again to obtain a first translation result.

Further, the first network element determines to translate the intention again according to the first stage identifier, and after obtaining the first translation result, the first network element marks the first translation result with the second stage identifier, where the second stage identifier is used to mark the first translation result for the intention maintaining process.

S104, the first network element sends a first execution command corresponding to the first translation result to the second network element. Accordingly, the second network element receives the first execution command and executes.

And the first network element converts the first translation result into a form which can be understood by the intention acting entity according to the first translation result obtained by the re-translation, namely the first execution command is obtained, and the first execution command is sent to the second network element. And the second network element receives the first execution command and executes the first execution command.

In the embodiment, the intention translation request in the intention maintaining stage is added, so that the intention system can dynamically adjust the execution strategy corresponding to the intention according to the achievement condition of the intention target in the intention maintaining stage.

The intent translation stage is implemented by adding the intent translation stage to the intent execution stage, and multiple intent translations occur throughout the intent life cycle. Enabling the intent system to adjust the intent executable commands, rules, or sub-intents using more accurate translation results during the maintenance phase.

According to the communication method provided by the embodiment of the application, for intentions comprising more than two intention targets, in the intention maintaining stage, the intentions can be translated again, and the execution command is adjusted according to the intention translation result, so that the probability of achieving the intention targets is improved.

Another communication method is also provided, which is applicable to the ENI architecture shown in fig. 2. The method comprises two parts: one part is intended to translate and execute the flow, and the other part is intended to maintain the flow. The intention maintaining process is mainly used to ensure that the intention goal can be achieved as much as possible. Fig. 6 is a schematic diagram illustrating a flow of intent translation and execution in another communication method according to an embodiment of the present application, wherein the intent execution module and the message between the intent translation modules follow the existing intent translation message. The method may comprise the steps of:

s201, an operation support system (OSS-like), an OSS-like, a service support system (BSS-like), and a user Application (APP), an operation support system (APP), and the like, send a new policy (new policy) message to the data initiation & notification FB, where the new policy message is used to indicate that a new intent policy (intent policy) is created, and the policy is an intent policy. The message contains policyresponsent, policyContent, and policymentadata. Wherein, the policyrepoint parameter indicates the creator of the intention strategy, policyContent indicates the intention expression, and policymentadata indicates the intention strategy related information, such as the validity period of the intention.

S202 a-202 b, the data Ingetion & normalization FB normalizes the received intention strategy and the related data, and sends the normalized data to the knowledge management FB.

S203, the knowledge management FB updates the local database according to the received normalized data.

S204, the knowledge management FB sends a translation request to the interaction FB. The translation request carries information such as policyContent and policymentadata.

S205a, interaction FB assigns the intention strategy with the intention identification.

S205b, the intent FB sends an identification update request to the knowledge management FB, and the identification update request is used for requesting to update the intention identification in the knowledge management FB. The identification update request includes the intent identification described above.

S206 a-S206 b, the entrenttranslation FB sends a response message to the user/app/OSS-like/BSS-like through the denormassation & output generation FB, and the response message is used for informing that the intention is processed.

S207a and the entry translation FB perform the intended grammar examination.

If the syntax lexical check is wrong, executing S207b 1-S207 b 2:

s207b 1-S207 b2, the intention grammar check is wrong, and error feedback information is sent to an intention creator (for example, user/app/OSS-like/BSS-like) through denormalization & output generation FB.

S207b3, intent error information is fed back to knowledge management FB by internal translation FB.

If the lexical grammar check is correct, execute S207c-S207 d:

s207c and the interaction FB extract intention keywords.

S207d, the interaction FB sends an intention keyword update message to the knowledge management FB. The intention keyword update message is used to request an update of an intention keyword in a knowledge management FB. The intention keyword update message includes the intention keyword described above.

S208a, the interaction FB sends an intention knowledge acquisition request to the knowledgemanagement FB. The intention knowledge acquisition request includes the intention keyword.

S208b, knowledgeknowledge of intent is sent to intent FB by knowledgemanagement FB. The intention knowledge includes an intention operation Instruction { < operating condition, execution command > } (entrentinstruction { < executionCondition, Instruction > }), an identification of an intention acting device (entityId), and an execution target (fulfilmentcriterion). The entrentinstruction represents a set of execution conditions and corresponding execution command pairs, the entrityid indicates the identification of an intention acting device, and the fulfilmentcriterion is used for judging whether an intention target is achieved.

S208c, intent FB arranges the received intention knowledge, and fills entityId into the execution command in the entiInstruction. For example, the Instruction is MODCELLULSCHALGO. UlEnhencedVoipSchSw: LocalCellId ═ obj; ON, wherein the entityId is 001, filling the entityId into% obj, and the result after arrangement is modcellullschlgo. ulenhencedvipisch sw: localcellld 001; UlVoipSchOptSwitch ON.

S208d, the intent translation FB sends an intent knowledge updating request to the knowledgemanagement FB, and the organized intent strategy, rule or self-intent is updated to the intent context.

S209, the intent translation FB sends a strategy completion message to the context aware FB. The policy complete message carries the intent translation result, and a first stage identification (flag). Wherein the first stage identification indicates that the intent translation result is used in the intent execution stage.

S210 a-S210 c and context aware FB judge the network state, and update the network state as intention context information to the knowledge management FB. And the context aware FB sends the updated intent translation result to the location aware FB, carrying a first phase identifier indicating that the intent translation result is used in the intent execution phase.

S211 a-S211 c, the location aware FB judges whether the intention target is achieved, and updates the achievement of the intention target as intention context information to the knowledgemanagement FB. And the location aware FB sends the updated intent translation result to the model-drive engineering FB, carrying a first phase identifier indicating that the intent translation result is used in the intent execution phase.

S212 a-S212 c and model-drive engineering FB convert the translation result into a form which can be understood by the intent action entity. And updates the updated information into the knowledgemanagement FB. And sending the updated intent translation result to a policy management FB, carrying a first phase identifier for indicating that the intent translation result is used in an intent execution phase.

S213 a-S213 c and policy management FB convert and decide the intent translation result, and update the executable command or rule obtained after decision into the knowledgemanagement FB. And sending the executable command or rule obtained after decision to the denormalization & output generation FB.

S214 a-S214 b, denormalization & output generation FB sends the execution command or rule to the entity which is intended to be influenced after denormalization.

As shown in fig. 7, which is a schematic flow chart of the communication method shown in fig. 6, the method may include the following steps:

S301-S302, after the context aware FB receives the strategy completion message, triggering the context aware FB to send a performance data subscription request to the assisted system through the denormatalysis & output generation FB. The performance data subscription request is used for requesting to acquire performance data of the assisted system.

S303, the assisted system reports the performance data to the data interpretation and normalization FB.

S304, performing normalization processing on the performance data by the data interpretation and normalization FB, and sending the processed data to the knowledge management FB.

S305 a-S305 b and knowledge management FB store the processed performance data and send the performance data and intention context information to context aware FB. This intent context information is generated during the intent translation and execution phases described above.

S306 a-S306 c, the context aware FB judges the network state according to the performance data, the network state information is added to the context information, the intention context information is updated to the knowledge management FB, and the updated context information is sent to the location aware FB.

S307 a-S307 c, the location awareness FB judges whether the intention is satisfied according to the performance data, updates the intention satisfying condition as context information to the knowledge management FB, and sends the updated context information to the model-driving information FB.

S308 a-S308 c and model-drive engineering FB adjust or generate the intention strategy according to the intention context information, update the adjusted or generated intention strategy into the knowledge management FB, and send the updated intention strategy and context information to the policy management FB.

S309, policy management FB judges the intention achieving condition at first, if not, then determines that the intention translation request (translation policy) needs to be sent to the intention translation FB according to the flag information received in the intention executing stage. This message carries the intent expression. The intent expression may be the same as the intent expression derived from the intent creator during the translation phase, or may be transformed from the intent expression sent by the intent creator.

S310, the intent translation FB sends an intention knowledge acquisition request to the knowledgemanagement FB, and the intention knowledge request carries an intention keyword.

S311, the knowledgeknowledge FB sends intention knowledge to the intention translation FB, wherein the intention knowledge carries a second stage identification, and the second stage identification is used for identifying the intention information for an intention maintaining stage to use. The second stage identification information is optional.

S312, the intent translation FB sends a strategy completion message to the context aware FB. The policy completion message carries the intent translation result, and a second stage identification. The second stage identification is used to indicate the intent translation result for intent maintenance.

S313, the context aware FB determines the network status, and updates the network status as the intention context information into the knowledgemanagement FB (refer to the corresponding description in the embodiment shown in fig. 6). And sending the updated intent translation result to the location aware FB, carrying the second stage identifier. The second stage identification is used to indicate that the intent translation result is used in the intent maintenance stage.

S314, the location aware FB determines whether the intention target is achieved, and updates the achievement of the intention target as intention context information to the knowledgemanagement FB (refer to the corresponding description in the embodiment shown in FIG. 6). And sending the updated intent translation result to the model-drive engineering FB with the second stage identifier. The second stage identification is used to indicate that the intent translation result is used in the intent maintenance stage.

S315, model-drive engineering FB converts the translation result into a form which can be understood by the intent action entity. And updates the updated information into the knowledge management FB (refer to the corresponding description in the embodiment shown in fig. 6). And sending the updated intent translation result to policy management FB, which carries the second stage identifier. The second stage identification is used to indicate that the intent translation result is used in the intent maintenance stage.

S316 a-S316 c and policy management FB convert and decide the intention translation result, send the executable command or rule obtained after decision to the knowledge management FB for storage, and send the executable command or rule obtained after decision to the denormalization & output generation FB.

S317, denormalization & output generation FB sends the execution command or rule to the entity which is intended to be influenced.

In the embodiment, the intention translation request between the intention execution module and the intention translation module in the intention maintaining stage is added, so that the intention system can dynamically adjust the execution strategy corresponding to the intention according to the achievement condition of the intention target in the intention maintaining stage.

Fig. 8 is a schematic flow chart of another intention maintaining method in the communication method shown in fig. 6. The method is applied to the ENI architecture shown in fig. 2. The intention maintaining method is different from the intention maintaining method shown in fig. 7 in that a new message is used for the message between the intention executing and intention translating modules in the intention maintaining method, and the message carries the intention related parameters, i.e., the message S409 in fig. 8 is different from the message S309 in the embodiment shown in fig. 7. The method comprises the following steps:

s401 to S402, after the context aware FB receives the strategy completion message, the context aware FB is triggered to send a performance data subscription request to the assisted system through the denormatalysis & output generation FB. The performance data subscription request is used for requesting to acquire performance data of the assisted system.

S403, the assisted system reports the performance data to the data ingestion & normalization.

S404, performing normalization processing on the performance data, and sending the processed data to knowledge management FB.

S405 a-S405 b and knowledge management FB store the processed performance data and send the performance data and intention context information to context aware FB, wherein the intention context information is generated in the intention translation and execution stage.

S406 a-S406 c, the context aware FB judges the network state according to the performance data, adds the network state information to the context information, updates the intention context information to the knowledge management FB, and sends the updated context information to the location aware FB.

S407 a-S407 c, the location awareness FB determines whether the intention is satisfied according to the performance data, updates the intention satisfying condition as context information to the knowledge management FB, and sends the updated context information to the model-driving information FB.

S408 a-S408 c, the model-drive engineering FB adjusts or generates the intention strategy according to the intention context information, the adjusted or generated intention strategy is updated to the knowledge management FB, and the updated intention strategy and the context information are sent to the policy management FB.

S409, policy management FB judges the intention achievement condition at first, if not, then determines that the intention translation request (transitilepolyforceForAssistance) needs to be sent to the intention translation FB according to the flag information received in the intention execution stage. This message carries parameters as a service indicator, i.e. no intent expression is constructed here.

S410, the intent translation FB sends an intention knowledge acquisition request to the knowledgemanagement FB, and the intention knowledge request carries an intention keyword.

S411, the knowledgeknowledge FB sends intention knowledge to the intention translation FB, wherein the intention knowledge carries a second stage identification, and the second stage identification is used for identifying the intention information for an intention maintaining stage to use. The second stage identification information is optional.

S412, the intent translation FB sends a strategy completion message to the context aware FB. The policy completion message carries the intent translation result, and a second stage identification. The second stage identification is used to indicate the intent translation result for intent maintenance.

S413, the context aware FB determines the network status, and updates the network status as the intention context information into the knowledgemanagement FB (refer to the corresponding description in the embodiment shown in fig. 6). And sending the updated intent translation result to the location aware FB, carrying the second stage identifier. The second stage identification is used to indicate that the intent translation result is used in the intent maintenance stage.

S414, the location aware FB judges whether the intention target is achieved, and updates the achievement of the intention target as intention context information to the knowledgemanagement FB (refer to the corresponding description in the embodiment shown in FIG. 6). And sending the updated intent translation result to the model-drive engineering FB with the second stage identifier. The second stage identification is used to indicate that the intent translation result is used in the intent maintenance stage.

S415, model-drive engineering FB converts the translation result into a form which can be understood by the intention acting entity. And updates the updated information into the knowledge management FB (refer to the corresponding description in the embodiment shown in fig. 6). And sending the updated intent translation result to policy management FB, which carries the second stage identifier. The second stage identification is used to indicate that the intent translation result is used in the intent maintenance stage.

S416 a-S416 c, the policy management FB converts and decides the intention translation result, sends the executable command or rule obtained after decision to the knowledge management FB for storage, and sends the executable command or rule obtained after decision to the denormalization & output generation FB.

S417, denormalization & output generation FB sends the execution command or rule to the entity which is intended to be influenced.

Fig. 9 is a schematic flow chart of another communication method provided in the embodiment of the present application, and the method is applied to the ONAP architecture shown in fig. 4. Intent translation is entered in an intent implementation maintenance phase and intent executable commands, rules, or sub-intents are adjusted according to the intent translation results. In this embodiment, the message edge sent by the intent FB to the intent FB uses the message between the intent management FB and the intent translation, and the carried parameter is the intent expression. The method may comprise the steps of:

s500, the ONAP UUI sends a create intention/activate intention (create intention/activate intention) request to the intention management FB. The request carries an intent expression. The intention expression may be a natural language expression or a DSL expression.

S501, the intent translation FB sends an intent translation request to the intent translation FB. The intent translation request carries an intent expression, which is a DSL expression.

S502, the internal translation FB sends an intention knowledge inquiry request to the internal knowledge retrieval, and the internal knowledge retrieval returns intention knowledge to the internal translation FB.

S503, the intent translation FB arranges the intent knowledge and sends an intent decision request to the intent decision FB. The intent decision request carries multiple sets of executable commands, rule sets or sub-intents, requesting them to make decisions on intent translation results. The intent decision request also carries a first stage identifier, an intent identifier, and an intent translation result, the first stage identifier also indicating that the translation result is for intent execution.

S504, the intent decision rule request is sent to the ONAP policy FB by the intent decision FB, and the decision rule is sent to the intent decision FB by the ONAP policy FB.

S505, intent decision FB makes decision on the intent translation result, and sends the decision result to other components in the ONAP or other intent action entities, such as the ONAP SO or the ONAP controllers.

Specifically, two selection ways are illustrated:

and the selection mode a and the intent decision FB send a network slice creating request to the ONAP SO, wherein the network slice creating request comprises CS profile. The interaction between the ONAP SO and ONAP DCAE creates a network slice instance. The ONAP SO then sends a create network slice response to the intent decision FB, which includes a Network Slice Identity (NSI).

And the selection mode b and the intent decision FB send a network slice modification request to the ONAP SO, wherein the network slice modification request comprises CS profile and NS. The interaction between the ONAP SO and ONAP DCAE modifies the network slice instance. The ONAPSO then sends a modify network slice response to the intent decision FB, the modify network slice response including a Network Slice Identity (NSI).

S506, the intent decision FB sends an intent performance data acquisition message to an intent execution function module (intent handler FB), and the message carries performance data indication indicating whether an intent target is completed and a network state. The intent handler FB may be deployed alone or as part of the ONAPDCAE.

S507, the intent handler FB judges the intent achievement condition and the network state according to the performance data indication received in the step S506, and sends the intent achievement condition and the network state to the intent decision FB.

S508, the intent decision FB sends an intent translation request (Call intent translation) to the intent translation FB, where the request carries an intent expression, and the intent expression may be the same as the expression in step S501, or may be a new intent expression generated according to the translation result generated in step S503.

S509, the internal translation FB sends an intention knowledge inquiry request to the internal knowledge retrieval device, and the internal knowledge retrieval device returns intention knowledge to the internal translation FB.

S510, the intent translation FB arranges intent knowledge and sends an intent decision request to the intent decision FB, wherein the intent decision request carries a plurality of groups of executable commands, rule groups or sub-intents and requests the intent decision FB to make a decision on an intent translation result. The intent decision request carries a second stage identifier indicating a translation result for use by the intent maintenance stage, an intent identifier, and an intent translation result.

S511, the intent decision FB sends the translation result to other components in the ONAP or other intent action entities, such as the ONAP SO or the ONAP Controller. Specifically, refer to step S505.

S512-S513, intent decision FB feeds back the intention achievement situation to the intention creator (ONAP UUI).

Fig. 10 is a schematic flow chart of another communication method provided in the embodiment of the present application, and the method is applied to the ONAP architecture shown in fig. 4. The difference between this communication method and the communication method shown in fig. 9 is that the message between the intent execution and intent translation modules in this communication method is a new message, and the message carries the intent related parameters, i.e., the message S608 in fig. 10 is different from the message S508 in the embodiment shown in fig. 9. The method may comprise the steps of:

s600, the ONAP UUI sends a create intention/activate intention (create intention/activate intention) request to the intention management FB. The request carries an intent expression. The intention expression may be a natural language expression or a DSL expression.

S601, the intent management FB sends an intent translation request to the intent translation FB. The intent translation request carries an intent expression, which is a DSL expression.

S602, the internal translation FB sends an intention knowledge inquiry request to the internal knowledge retrieval, and the internal knowledge retrieval returns intention knowledge to the internal translation FB.

S603, the intent translation FB arranges the intent knowledge and sends an intent decision request to the intent decision FB. The intent decision request carries multiple sets of executable commands, rule sets or sub-intents, requesting them to make decisions on intent translation results. The intent decision request also carries a first stage identifier, an intent identifier, and an intent translation result, the first stage identifier also indicating that the translation result is for intent execution.

S604, the intent decision rule request is sent to the ONAP policy FB by the intent decision FB, and the ONAP policy FB sends the decision rule to the intent decision FB.

S605, intent decision FB makes decision on the intent translation result, and sends the decision result to other components in the ONAP or other intent action entities, such as the ONAP SO or the ONAP controllers.

Specifically, two selection ways are illustrated:

And the selection mode b and the intent decision FB send a network slice modification request to the ONAP SO, wherein the network slice modification request comprises CS profile and NS. The interaction between the ONAP SO and ONAP DCAE modifies the network slice instance. The ONAP SO then sends a modify network slice response to the intent decision FB, the modify network slice response including a Network Slice Identity (NSI).

S606, the intent decision FB sends an intent performance data acquisition message to an intent execution function module (intent handler FB), and the message carries performance data indication indicating whether an intent target is completed and a network state. The intent handler FB may be deployed alone or as part of the ONAPDCAE.

S607, the intent handler FB determines the intent achievement condition and the network state according to the performance data indication received in the step S606, and sends the intent achievement condition and the network state to the intent decision FB.

S608, the intent translation FB sends an intent translation request (Call intent for implementation) to the intent translation FB, and the request carries parameters as service indexes, namely, an intent expression is not required to be constructed here.

S609, the internal translation FB sends an intention knowledge inquiry request to the internal knowledge retrieval, and the internal knowledge retrieval returns intention knowledge to the internal translation FB.

S610, the intent translation FB arranges intent knowledge and sends an intent decision request to the intent decision FB, wherein the intent decision request carries a plurality of groups of executable commands, rule groups or sub-intents and requests the intent decision FB to make a decision on an intent translation result. The intent decision request carries a second stage identifier indicating a translation result for use by the intent maintenance stage, an intent identifier, and an intent translation result.

S611, the intent decision FB sends the translation result to other components in the ONAP or other intent action entities, such as the ONAP SO or the ONAP Controller. Specifically, refer to step S605.

S612-S613, intent decision FB feeds back the intention achievement situation to the intention creator (ONAP UUI).

Based on the same concept of the above communication method, as shown in fig. 11, the embodiment of the present application further provides a communication apparatus, where the communication apparatus 400 is a first network element in the above embodiment. Specifically, the communication apparatus 400 includes: a processing unit 41 and a transceiver unit 42. Wherein:

a processing unit 41 for obtaining performance data in an intent execution process, the intent comprising a first intent target and a second intent target;

the processing unit 41 is further configured to determine that the second intention objective is not achieved according to performance data in the intention execution process;

the processing unit 41 is further configured to translate the intent according to the second intent target, so as to obtain a first translation result;

and the transceiver unit 42 is configured to send a first execution command corresponding to the first translation result to the second network element.

In a possible implementation, the processing unit 41 is further configured to translate the intent to obtain a second translation result;

the processing unit 41 is further configured to perform a network status determination and a determination on whether the first intention target is achieved, and update the second translation result according to the network status determination and the determination result on whether the first intention target is achieved;

the processing unit 41 is further configured to tag the second translation result and the updated second translation result with a first stage identifier, and the first stage identifier is used to tag the second translation result and the updated second translation result for the intent execution process.

In yet another possible implementation, the processing unit 41 is further configured to determine to translate the intent again according to the first stage identification when determining that the second intent goal is not achieved, so as to obtain the first translation result;

the processing unit 41 is further configured to mark the first translation result with a second stage identifier, where the second stage identifier is used to mark the first translation result for the intention maintenance process.

In yet another possible implementation, the processing unit 41 is further configured to obtain an intention expression corresponding to the second intention target;

the processing unit 41 is further configured to obtain intention knowledge according to an intention expression corresponding to the second intention target;

the processing unit 41 is further configured to arrange the intention knowledge to obtain a first translation result.

The processing unit 41 and the transceiver unit 42 may be implemented as described above with reference to the first network element in the method embodiments shown in fig. 5 to 10.

According to the communication device provided by the embodiment of the application, for intentions comprising more than two intention targets, in the intention maintaining stage, the intentions can be translated again, and the execution command is adjusted according to the intention translation result, so that the probability of achieving the intention targets is improved.

As shown in fig. 12, a schematic diagram of a hardware structure of a communication device for executing the above communication method is also provided. Some or all of the above methods may be implemented by hardware, or may be implemented by software or firmware.

Optionally, the communication device may be a chip or an integrated circuit when embodied.

Alternatively, when part or all of the communication methods of the above embodiments are implemented by software or firmware, the communication methods can be implemented by a communication apparatus 500 provided in fig. 12. As shown in fig. 12, the communication device 500 may include:

the memory 53 and the processor 54 (the processor 54 in the device may be one or more, and fig. 12 illustrates one processor as an example), and may further include an input device 51 and an output device 52. In the present embodiment, the input device 51, the output device 52, the memory 53 and the processor 54 may be connected by a bus or other means, wherein the bus connection is taken as an example in fig. 12.

Wherein, in one embodiment, the processor 54 is configured to execute the method steps executed by the first network element in fig. 5 to 10.

Alternatively, the program of the above-described communication method may be stored in the memory 53. The memory 53 may be a physically separate unit or may be integrated with the processor 54. The memory 53 may also be used for storing data.

Alternatively, when part or all of the communication method of the above embodiments is implemented by software, the communication apparatus may include only a processor. The memory for storing the program is located outside the communication device, and the processor is connected to the memory through a circuit or a wire, and reads and executes the program stored in the memory.

The processor may be a Central Processing Unit (CPU), a Network Processor (NP), or a WLAN device.

The processor may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), a General Array Logic (GAL), or any combination thereof.

The memory may include volatile memory (volatile memory), such as random-access memory (RAM); the memory may also include a non-volatile memory (non-volatile memory), such as a flash memory (flash memory), a Hard Disk Drive (HDD) or a solid-state drive (SSD); the memory may also comprise a combination of memories of the kind described above.

One skilled in the art will appreciate that one or more embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, one or more embodiments of the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, one or more embodiments of the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

An embodiment of the present application further provides a chip system, including: at least one processor coupled with the memory through the interface, and an interface, the at least one processor causing the method of any of the above method embodiments to be performed when the at least one processor executes the computer program or instructions in the memory. Optionally, the chip system may be composed of a chip, and may also include a chip and other discrete devices, which is not specifically limited in this embodiment of the present application.

The embodiments of the present disclosure also provide a computer-readable storage medium, on which a computer program may be stored, and when the program is executed by a processor, the computer program implements the steps of the communication method described in any embodiment of the present disclosure.

Embodiments of the present disclosure also provide a computer program product containing instructions, which when executed on a computer, causes the computer to perform the steps of the communication method described in any of the embodiments of the present disclosure.

The embodiment of the present application further provides a communication system, which includes the above communication apparatus.

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.

It should be understood that in the description of the present application, unless otherwise indicated, "/" indicates a relationship where the objects associated before and after are an "or", e.g., a/B may indicate a or B; wherein A and B can be singular or plural. Also, in the description of the present application, "a plurality" means two or more than two unless otherwise specified. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of the singular or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple. In addition, in order to facilitate clear description of technical solutions of the embodiments of the present application, in the embodiments of the present application, terms such as "first" and "second" are used to distinguish the same items or similar items having substantially the same functions and actions. Those skilled in the art will appreciate that the terms "first," "second," etc. do not denote any order or quantity, nor do the terms "first," "second," etc. denote any order or importance. Also, in the embodiments of the present application, words such as "exemplary" or "for example" are used to mean serving as examples, illustrations or illustrations. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present relevant concepts in a concrete fashion for ease of understanding.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the division of the unit is only one logical function division, and other division may be implemented in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. The shown or discussed mutual coupling, direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some interfaces, and may be in an electrical, mechanical or other form.

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 place, or may be distributed on a plurality of 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.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the present application are wholly or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on or transmitted over a computer-readable storage medium. The computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)), or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a read-only memory (ROM), or a Random Access Memory (RAM), or a magnetic medium, such as a floppy disk, a hard disk, a magnetic tape, a magnetic disk, or an optical medium, such as a Digital Versatile Disk (DVD), or a semiconductor medium, such as a Solid State Disk (SSD).

Claims

1. A method of communication, the method comprising:

the method comprises the steps that a first network element obtains performance data in an intention execution process, wherein the intention comprises a first intention target and a second intention target;

the first network element determines that the second intention objective is not achieved according to the performance data in the intention execution process;

the first network element translates the intention according to the second intention target to obtain a first translation result;

and the first network element sends a first execution command corresponding to the first translation result to a second network element.

2. The method of claim 1, wherein before the first network element obtains the performance data during the intended execution, the method further comprises:

the first network element translates the intention to obtain a second translation result;

the first network element judges the network state and whether the first intention target is achieved, and updates the second translation result according to the judgment result of the network state and whether the first intention target is achieved;

the first network element marking the second translation result and the updated second translation result with a first phase identification, the first phase identification being used to mark the second translation result and the updated second translation result for the intent execution process.

3. The method of claim 2, wherein when the first network element determines that the second intent target is not achieved, the method further comprises:

the first network element determines to translate the intention again according to the first-stage identification to obtain the first translation result;

and the first network element marks the first translation result by adopting a second-stage identifier, wherein the second-stage identifier is used for marking the first translation result for an intention maintenance process.

4. The method according to any of claims 1 to 3, wherein the translating, by the first network element, the intent according to the second intent target to obtain a first translation result comprises:

the first network element acquires an intention expression corresponding to the second intention target;

the first network element acquires intention knowledge according to the intention expression corresponding to the second intention target;

and the first network element arranges the intention knowledge to obtain a first translation result.

5. The method according to any one of claims 1 to 4, wherein the first intent target is a network configuration and the second intent target is an adjustment of a network performance.

6. A communications apparatus, the apparatus comprising:

a processing unit for obtaining performance data in an intent execution process, the intent comprising a first intent target and a second intent target;

the processing unit is further configured to determine that the second intent goal is not achieved according to performance data in the intent execution process;

the processing unit is further used for translating the intention according to the second intention target to obtain a first translation result;

and the transceiver unit is used for sending a first execution command corresponding to the first translation result to a second network element.

7. The apparatus of claim 6, wherein:

the processing unit is further used for translating the intention to obtain a second translation result;

the processing unit is further configured to perform a network status determination and a determination on whether the first intention target is achieved, and update the second translation result according to the network status determination and a determination result on whether the first intention target is achieved;

the processing unit is further configured to tag the second translation result and the updated second translation result with a first stage identification, the first stage identification being used to tag the second translation result and the updated second translation result for the intent execution process.

8. The apparatus of claim 7, wherein the processing unit is further configured to determine to re-translate the intent according to the first stage identification when it is determined that the second intent goal is not achieved, resulting in the first translation result;

the processing unit is further configured to mark the first translation result with a second stage identifier, where the second stage identifier is used to mark the first translation result for an intent maintenance process.

9. The apparatus according to any one of claims 6 to 8, wherein:

the processing unit is further configured to obtain an intention expression corresponding to the second intention target;

the processing unit is further used for acquiring intention knowledge according to the intention expression corresponding to the second intention target;

the processing unit is further used for arranging the intention knowledge to obtain a first translation result.

10. The apparatus of any of claims 6-9, wherein the first intent goal is network configuration and the second intent goal is adjustment of network performance.

11. A communication system comprising the apparatus of any of claims 6 to 10 and a second network element.