CN114727311A

CN114727311A - Service guarantee method, device and storage medium

Info

Publication number: CN114727311A
Application number: CN202110004322.3A
Authority: CN
Inventors: 张聪; 孙奇; 李刚
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: 2021-01-04
Filing date: 2021-01-04
Publication date: 2022-07-08

Abstract

The invention discloses a service guarantee method, a device and a storage medium, wherein the method comprises the following steps: determining a modification strategy based on the first index value; the first index value represents the service quality; the modification policy includes at least one of: DRB QoS parameter modification strategy, and QoS flow to DRB remapping strategy; and sending the modification strategy to a base station.

Description

Service guarantee method, device and storage medium

Technical Field

The present invention relates to the field of data services, and in particular, to a service provisioning method, apparatus, and storage medium.

Background

In the related scheme, in practical application, the network configuration cannot be changed along with the service condition of the service, when the wireless environment of the terminal changes, the network side cannot sense the fluctuation of the user experience in real time, and cannot provide a guarantee scheme adaptive to the service requirement for the current environment of the terminal, so that the service experience of the user is reduced.

Disclosure of Invention

In view of the above, the main objective of the present invention is to provide a service provisioning method, apparatus and storage medium.

In order to achieve the purpose, the technical scheme of the invention is realized as follows:

the embodiment of the invention provides a service guarantee method, which is applied to a wireless intelligent control platform and comprises the following steps:

determining a modification strategy based on the first index value; the first index value represents the service quality; the modification policy includes at least one of: a radio data bearer (DRB) quality of service (QoS) parameter modification policy, a QoS flow to DRB remapping policy;

and sending the modification strategy to a base station.

In the foregoing solution, the method further includes:

acquiring first network side data and second service characteristic data;

predicting a first index value of a target time point according to the first network side data and the first service characteristic data by using a preset quality prediction model;

the quality prediction model is obtained based on historical network side data, historical service characteristic data and historical service quality training.

In the foregoing solution, the determining the modification policy includes:

acquiring a target reference value;

comparing the first network side data corresponding to the first index value with the target reference value to obtain a comparison result; the target reference value represents data of the network side parameter when the second index value is met;

determining abnormal network side parameters according to the comparison result;

and determining a modification strategy for adjusting the abnormal network side parameters based on the abnormal network side parameters.

In the foregoing solution, the determining a modification policy for adjusting the abnormal network-side parameter based on the abnormal network-side parameter includes:

inquiring a preset modification scheme based on the abnormal network side parameters, and determining the modification scheme corresponding to the abnormal network side parameters;

and obtaining the modification strategy based on the modification scheme corresponding to the abnormal network side parameter.

In the foregoing solution, the determining a modification policy based on the first index value includes:

and when the first index value is determined to be lower than the first threshold value, determining a modification strategy based on the first index value.

In the foregoing solution, the DRB QoS parameter modification policy includes at least one of the following QoS parameters to be modified:

priority assignment and retention feature (ARP), guaranteed stream bit rate (GFBR), maximum stream bit rate (MFBR, Averaging Window (AW), maximum data burst size (MDBV), dynamic 5G network quality of service identification (5QI), priority level, minimum bit rate (MinBR);

the remapping policy of the QoS flows to the DRB comprises at least one of the following: the identifier of the QoS flow to be remapped, the source DRB identifier and the remapped target DRB identifier.

In the foregoing solution, the DRB QoS parameter modification policy further includes at least one of the following:

a designated cell Identification (ID), User Equipment (UE) ID, DRB ID, 5QI, 5G network quality of service flow identification (QFI), 4G network quality of service flow identification (QCI);

the cell ID includes one of: an E-UTRAN cell Global identifier (ECGI), NR Cell Global Identifier (NCGI);

the UE ID comprises one of: the cell temporary user identity C-RNTI, the radio access network user equipment identity (RAN UE ID) and the radio access network user equipment next generation application protocol identity (RAN UE NGAP ID).

The embodiment of the invention provides a service guarantee method, which is applied to a base station and comprises the following steps:

receiving a modification strategy; the modification policy includes at least one of: DRB QoS parameter modification strategy, and QoS flow to DRB remapping strategy;

and executing the operation corresponding to the modification strategy based on the modification strategy.

In the foregoing solution, the DRB QoS parameter modification policy includes at least one of the following QoS parameters to be modified: ARP, GFBR, MFBR, AW, MDBV, dynamic 5QI, priority, MinBR;

the remapping strategy of the QoS flow to the DRB comprises at least one of the following: the identifier of the QoS flow to be remapped, the source DRB identifier and the remapped target DRB identifier;

the executing the operation corresponding to the modification strategy based on the modification strategy comprises:

detecting a target modification parameter; the target modification parameters comprise: the QoS parameters to be modified, the QoS flows to be remapped;

when the target modification parameters are determined to meet the preset conditions corresponding to the corresponding target parameters, executing the operation corresponding to the target modification parameters; the operation corresponding to the target modification parameter comprises the following steps: modifying the QoS parameters to be modified and the QoS flows to be remapped.

The embodiment of the invention provides a service guarantee device, which comprises:

the first processing module is used for determining a modification strategy based on the first index value; the first index value represents the service quality; the modification policy includes at least one of: DRB QoS parameter modification strategy, and QoS flow to DRB remapping strategy;

and the first communication module is used for sending the modification strategy to a base station.

the second communication module is used for receiving the modification strategy; the modification policy includes at least one of: DRB QoS parameter modification strategy, and QoS flow to DRB remapping strategy;

and the second processing module is used for executing the operation corresponding to the modification strategy based on the modification strategy.

An embodiment of the present invention provides a communication device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps of the method described in any one of the above wireless intelligent control platform sides; or,

the processor, when executing the program, performs the steps of the method of any of the above base station sides.

An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of the method described in any one of the above wireless intelligent control platform sides;

alternatively, the computer program realizes the steps of the method of any of the above base station sides when executed by a processor.

The embodiment of the invention provides a service guarantee method, a device and a storage medium, wherein the method comprises the following steps: the wireless intelligent control platform determines a modification strategy based on the first index value; the first index value represents the service quality; the modification policy includes at least one of: DRB QoS parameter modification strategy, and QoS flow to DRB remapping strategy; sending the modification strategy to a base station; correspondingly, the base station receives the modification strategy; the modification policy includes at least one of: DRB QoS parameter modification strategy, and QoS flow to DRB remapping strategy; based on the modification strategy, executing the operation corresponding to the modification strategy; therefore, the QoS parameters of the DRB where the corresponding service is located or the mapping from the QoS flow to the DRB are flexibly modified through the DRB QoS parameter modification strategy and the remapping strategy from the QoS flow to the DRB, and the user experience is guaranteed.

Drawings

FIG. 1 is a schematic diagram of a QoS mechanism of a 5G network;

fig. 2 is a schematic flow chart of a service provisioning method according to an embodiment of the present invention;

fig. 3 is a schematic flow chart of another service provisioning method according to an embodiment of the present invention;

fig. 4 is a schematic diagram of an O-RAN architecture according to an embodiment of the present invention;

fig. 5 is a flow chart of QoS optimization control according to an embodiment of the present invention;

fig. 6 is a schematic structural diagram of a service provisioning apparatus according to an embodiment of the present invention;

fig. 7 is a schematic structural diagram of another service provisioning apparatus according to an embodiment of the present invention;

fig. 8 is a schematic structural diagram of a communication device according to an embodiment of the present invention.

Detailed Description

The present invention will be described in further detail with reference to examples.

A Quality of Service (QoS) mechanism of Long Term Evolution (LTE) will be described. The QoS mechanism of the LTE comprises the following steps:

after initiating a request, a User Equipment (UE) establishes an Evolved Packet System (EPS) bearer with a Public Data Network (PDN) GateWay (PGW, PDN GateWay) of a core Network;

the base station side allocates an Evolved Radio Access Bearer (E-RAB) Identity (ID) for each EPS Bearer, each E-RAB ID corresponds to a Data Radio Bearer (DRB), and QoS of one type of service type is guaranteed.

The QoS of LTE takes EPS load as a unit and has coarse granularity. When there are many service scenarios, resource preemption may occur.

A QoS mechanism of a New Radio (NR) is explained.

A Non-Access Stratum (NAS) of a Gateway (GW) in the NR network maps IP flows (flows) having the same Qos requirements into the same Qos Flow (Qos Flow).

The NR base station (gNB) maps the Qos Flow to the DRB, so that a Radio Access Network (RAN) side adapts to the Qos requirement.

Thus, two-level mapping is formed, so that the RAN side has a certain degree of freedom, for example, the gNB can convert M Qos flows into N DRBs according to a certain policy.

FIG. 1 is a schematic diagram of a QoS mechanism of a 5G network; in fig. 1, UE is a user equipment, UPF is a user plane functional entity, and AN is AN access network functional entity.

In the Downlink (DL), the UPF classifies incoming packets in their order of priority based on Packet Filter Sets (Packet Filter Sets) of the DL PDR. The UPF conveys the classification of user plane traffic belonging to QoS flows by using the N3 (or N9) user plane label of QFI. The AN binds the QoS Flow to the resource. There is no strict 1:1 relationship between QoS Flow and resources. The AN establishes necessary AN resources to which the QoS Flow can be mapped and releases them. The AN should indicate to the SMF when the AN resources to which the QoS Flow maps are released.

As can be seen from fig. 1 and the above description of Qos mechanism, the 5G core network cancels the concept of bearer in LTE and introduces the concept of Qos flow. The 5G executes QoS processing based on the granularity of the Flow, identifies different QoS flows using a quality of service Flow identifier (QFI), executes forwarding of packets based on the QFI on the network side, and obtains the same forwarding processing (such as the same scheduling, the same admission threshold, etc.) for user plane Data with the same QFI in a Protocol Data Unit (PDU) session. No bearer exists between the 5GC and the RAN, when a new QoS is required, only a radio bearer needs to be established, for each PDU session, a single tunnel is formed between the 5GC and the RAN, and the RAN side manages a Data Radio Bearer (DRB) and the mapping from QoS Flow to the DRB. The implementation of the 5G QoS guarantee is performed through the operation of the QoS Flow, which may be configured in advance or maintained through the PDU session establishment/modification procedure.

In practical application, a related 3GPP technical scheme cannot realize network follow-up, and when a terminal wireless environment changes, on one hand, a network side cannot sense fluctuation of user experience in real time, and on the other hand, conventional semi-static QoS parameter configuration cannot be adapted to service requirements, which results in reduction of user service experience.

Based on the method provided by the embodiment of the invention, the wireless intelligent control platform determines a modification strategy based on the first index value; the first index value represents the service quality; the modification policy includes at least one of: DRB QoS parameter modification strategy, and QoS flow to DRB remapping strategy; sending the modification strategy to a base station; correspondingly, the base station receives the modification strategy; the modification policy includes at least one of: DRB QoS parameter modification strategy, and QoS flow to DRB remapping strategy; and executing the operation corresponding to the modification strategy based on the modification strategy.

Fig. 2 is a schematic flow chart of a service provisioning method according to an embodiment of the present invention; as shown in fig. 2, the method is applied to a wireless intelligent control platform, and in particular, may be applied to a Near-real-time radio intelligent controller (Near-RT RIC) of the wireless intelligent control platform, and the method includes:

step 201, determining a modification strategy based on the first index value; the first index value represents the service quality; the modification policy includes at least one of: DRB QoS parameter modification strategy, and QoS flow to DRB remapping strategy;

step 202, sending the modification strategy to the base station.

The first index value is the service quality of the service provided for the first service; the first index value may be a Quality of Experience (QoE) and/or a Key Quality Indicator (KQI).

In the method provided by the embodiment of the present invention, in order to implement the optimization of the QoE of the service in real time or near real time, the first index value may specifically be a QoE and/or a KQI at a preset time point after the current time point.

The preset time point may be a time point 100ms to 1s after the current time point.

In an embodiment, the method further comprises:

acquiring first network side data and second service characteristic data;

To determine the first metric value, in one embodiment, a method of training a quality prediction model is provided. Specifically, the method further comprises: generating the quality prediction model specifically comprises:

acquiring a training data set; the training data set comprising: at least one training sample and a label corresponding to each training sample;

training a preset neural network by using the training data set; and taking the trained neural network as a quality prediction model.

Here, the quality prediction model is obtained based on historical network side data and service characteristic data, and historical service quality training;

specifically, at least one training sample and a label corresponding to each training sample may be obtained based on historical data; specifically, network side data and service characteristic data of each historical time point are determined based on historical data, and QoE and/or KQI corresponding to the historical time point are determined to be used as a label of the historical time point.

It should be noted that the label and the training sample have the same time stamp, i.e. correspond to the same time point. However, the KQI/QoE prediction is to predict the KQI/QoE after a certain unit time; the setting of the time unit is determined based on the aging requirement, and here, in order to realize the prediction of the near real-time service QoE, the time unit can be any value between 100ms and 1 s; that is, the first index value at a time point after 100ms to 1s can be predicted when the method is applied.

The network side data comprises: cell load information, user channel state information, QoS flow control parameter information, and MAC parameter information of DRB;

the service characteristic data is related to service types, and the service characteristic data of different service types are different; for example, for video services, the corresponding service characteristic data may include: video code rate and video frame rate; the corresponding service QoE and/or KQI comprises: video initial buffering, video morton, video mean opinion score (vMOS), etc.;

virtual Reality (VR) services, the corresponding service feature data may include: code rate, frame rate and field angle of VR service; the corresponding traffic QoE and/or KQI may include: stuck, screen splash, black edge rate, etc.;

the game service, the corresponding service characteristic data may include: loading duration and time delay; correspondingly, the service QoE and/or KQI includes: vMOS, etc.

Correspondingly, when the method is actually applied, a preset quality prediction model is used for predicting a first index value at a preset time point according to the network side data and the service characteristic data, and the method comprises the following steps:

according to the network side data and the service characteristic data at the current moment, predicting to obtain a first index value at the next moment (after 100 ms-1 s); the first index value comprises: QoE and/or KQI.

In one embodiment, the determining a modification policy includes:

acquiring a target reference value;

comparing the first network side data corresponding to the first index value with the target reference value to obtain a comparison result; the target reference value represents data of the network side parameter when a second index value is met;

Here, the target reference value is a KQI result and/or a QoE score is higher, for example, when the KQI and/or QoE meet a service requirement (e.g., exceed a certain threshold), it is considered that a corresponding situation is a normal situation, and a network-side parameter at this time is taken as the target reference value; the network side data in the case of meeting the second index value may also be used as the target reference value.

That is, the data of the current network-side parameter is compared with the data of the normal network-side parameter, and the network-side parameter deviating from the normal interval is determined as the abnormal network-side parameter.

Specifically, the network side parameter when the requirement of the second index value is met may be predetermined, and is used as the data of the network side parameter under the normal condition, that is, the target reference value; and determining the network side parameter deviating from the normal interval as the abnormal network side parameter by comparing the current first network side data with the normal target reference value.

Therefore, the problems are quickly analyzed and positioned, the base station is guided to adjust the DRB QoS parameters in real time, the DRB QoS parameters are matched with the service requirements, and the good technical effect of guaranteeing the service experience of the user in real time is achieved.

In order to achieve the above comparison, the method further includes:

and receiving the actual DRB QoS of the service flow from the base station, and comparing the actual DRB QoS of the service flow with a second index value.

Here, the second index value is a preset target DRB QoS.

Based on the second index value, when the business service is provided, the target reference data in normal time can be monitored.

The target DRB QoS represents a DRB QoS of a corresponding service flow or a QoS target (targets) required in a1 policy when the KQI result is better (e.g., the condition corresponding to the corresponding KQI is satisfied) and/or the QoE score is higher (e.g., the condition corresponding to the corresponding QoE is satisfied).

Here, the a1 policy may be set manually (for example, set by a user based on a service requirement), or sent to the non-real-time RIC by the network manager, where the real-time RIC is obtained from the non-real-time RIC; or sent directly to the real-time RIC by an external module.

The a1 is an interface between a non-real-time RIC and a real-time or near-real-time RIC in an O-RAN architecture. Here it can be generalized to an interface sent by other functional modules to the real-time or near real-time RIC.

In one embodiment, the determining a modification policy based on the first metric value includes:

The first threshold is preset by a developer, or is QoE and/or KQI determined based on the target DRB QoS.

For example, when the vMOS score is higher (or higher than a certain threshold) or the KQI is higher, the network-side indicator is stable in a certain range, for example, the Reference Signal Receiving Power (RSRP) should be greater than-90, and then the indicator is considered abnormal (i.e. the first indicator value is lower than the first threshold) when the RSRP is less than-90; here, RSRP is a network-side indicator, and a decrease in RSRP may cause a decrease in service KQI, which may cause a decrease in service experience.

The network-side metrics include but are not limited to: RSRP, Channel Quality Information (CQI), Signal to Interference Plus Noise Ratio (SINR), Reference Signal Received Quality (RSRQ), Downlink reference Signal received Quality (DLRSRQ), Downlink block error rate (DLBLER), Downlink Transmission Bandwidth (DLRB, Downlink Transmission Bandwidth, User Equipment Power Headroom report (UE PHR), and Timing Advance (TA).

In an embodiment, the determining, based on the abnormal network-side parameter, a modification policy for adjusting the abnormal network-side parameter includes:

Wherein, the preset modification scheme comprises: at least one parameter adjustment strategy can be adopted aiming at different abnormal network side parameters.

Considering that different conditions may exist in the network state, that is, a condition that a corresponding modification scheme cannot be found may exist, at this time, a notification message may be sent to the operation and maintenance personnel, and the operation and maintenance personnel diagnose the network problem and determine a modification strategy; or, the wireless intelligent control platform may have a preset policy generation algorithm therein, where the algorithm is used to analyze one or more abnormal network-side parameters and determine a corresponding modification policy.

Specifically, the modifying policy includes: at least one event trigger and an action corresponding to each event trigger;

specifically, the modification policy includes at least one of: DRB QoS parameter modification strategy, and QoS flow to DRB remapping strategy;

the DRB QoS parameter modification strategy comprises at least one QoS parameter to be modified: priority assignment and Retention characteristics (ARP), guaranteed stream Bit Rate (GFBR), Maximum stream Bit Rate (MFBR), averaging window (averaging window), Maximum Data Burst (Maximum Data Burst Volume), dynamic 5G quality of service identity (5QI, 5G Qos Flow ID), Priority Level (Priority Level), Minimum Bit Rate (MinBR, Minimum Bit Rate).

The DRB QoS parameter modification policy may further include at least one of:

a specified cell Identity (ID), a User Equipment (UE) ID, a DRB ID, a 5G network quality of service Identity (5QI, 5G QoS Identifier), a 5G network quality of service flow Identity (QFI), a 4G network quality of service flow Identity (QCI, QoS Identity).

The Cell ID may be an Evolved Universal mobile telecommunications system Terrestrial Radio Access Network (E-UTRAN, Evolved Universal Radio Access Network) Cell Global Identifier (ECGI, E-UTRAN Cell Global Identifier) or a new generation Cell Identifier (NCGI, NR (new Radio) Cell Global Identifier));

the UE ID may be one of a Cell Temporary user identity (C-RNTI), a RAN UE ID, and a RAN UE Next Generation Application Protocol (NGAP) ID.

The QoS Flow (Flow) to DRB remapping policy includes at least one of: an identification of the QoS Flow to be remapped (QoS Flow ID), a source DRB identification, and a remapped target DRB identification.

For the modification policy, an example of the modification policy is provided, for example, a correspondence between an Event Trigger (Event Trigger) and an Action (Action) shown in table 1.

Correspondingly, after receiving the modification policy, the base station needs to monitor in real time whether measurement (measurements) data and user equipment CONTEXT (UE CONTEXT) data (such as radio capability, radio resource information, and the like) satisfy various conditions (conditions) in event triggering, and if a certain condition is satisfied, execute a behavior corresponding to the satisfied condition to modify a DRB QoS parameter or a remapping from QoS Flow to DRB, thereby ensuring user experience.

That is, after receiving the modification policy, the base station monitors the DRB QoS parameter modification policy and the target modification parameter (such as the QoS parameter to be modified, the QoS Flow identifier to be remapped, the network side index in the modification policy, the condition in the modification policy, and the like) carried in the remapping policy that QoS flows to the DRB, and when detecting that the target modification parameter does not meet the requirement of the second index value or when the condition of meeting the condition occurs, modifies the requirement of the corresponding parameter to the second index value.

Table 1 may refer to the QoS parameters that can be modified, as shown in table 2.

TABLE 2

The above is merely an illustration of modifiable QoS parameters, including but not limited to the above.

Fig. 3 is a schematic flowchart of a service provisioning method according to an embodiment of the present invention; as shown in fig. 3, the method is applied to a base station, which may be a fourth generation mobile communication technology (4G) base station, a fifth generation mobile communication technology (5G, 5th generation mobile networks) base station, a sixth generation mobile communication technology (6G, 6G) base station, or the like; the method comprises the following steps:

step 301, receiving a modification strategy; the modification policy includes at least one of: DRB QoS parameter modifying strategy, QoS flow to DRB remapping strategy;

here, the modification policy may specifically be received from the wireless intelligent control platform. The wireless intelligent control platform is provided with a real-time RIC.

And 302, executing the operation corresponding to the modification strategy based on the modification strategy.

In an embodiment, the modification policy includes the following contents: at least one event trigger and an action corresponding to each event trigger;

specifically, the DRB QoS parameter modification policy includes at least one of the following QoS parameters to be modified: ARP, GFBR, MFBR, AW, MDBV, dynamic 5QI, priority, MinBR;

the remapping policy of the QoS flows to the DRB comprises at least one of the following: the identifier of the QoS flow to be remapped, the source DRB identifier and the remapped target DRB identifier;

detecting a target modification parameter; the target modification parameters comprise: the QoS parameter to be modified and the target parameter related to the event trigger are obtained;

That is, after receiving the modification policy, the base station monitors the DRB QoS parameter modification policy and the target modification parameter (such as the QoS parameter to be modified and the parameter (condition) corresponding to event trigger) carried in the remapping policy of QoS flow to DRB, and modifies the corresponding parameter to the requirement of the second index value when detecting that the target modification parameter does not satisfy the requirement of the second index value or the condition satisfying the condition occurs.

The method provided by the embodiment of the invention provides a near-real-time (100 ms-1 s) business experience optimization scheme, a quality prediction module in a near-real-time intelligent controller carries out near-real-time evaluation or prediction on user business experience or key business indexes, generates a corresponding modification strategy based on the evaluation or prediction result and sends the modification strategy to a base station, and guides the base station to flexibly modify the QoS parameters of a DRB where the guaranteed business is located or the mapping of QoS flow to the DRB so as to guarantee the user experience.

In the methods shown in fig. 2 and fig. 3, the modification policy (policy) sent by the real-time RIC has a certain timeliness, and if the video resolution is changed by the video user, the video bitrate will change greatly, which results in a change of the normal range of the network-side index that maintains the high experience of the user, and at this time, the modification policy needs to be determined again and issued to the base station; correspondingly, the base station executes corresponding operation after receiving the modification strategy.

Fig. 4 is a schematic diagram of an O-RAN architecture according to an embodiment of the present invention; as shown in fig. 4, the O-RAN architecture is applied to video services, opening capabilities to the video server.

Wherein, wireless intelligence accuse platform includes: a Service Management and Orchestration (SMO) module, a Near-real-time wireless intelligent controller (Near-RT RIC);

SMO includes: non-real-time wireless intelligent controller (Non-RT RIC).

A1 and O1 are interfaces for SMO and Near-RT RIC to communicate, E2 is an interface for Near-RT RIC and base station to communicate, and Uu is an interface for terminal and base station to communicate.

Fig. 5 is a flow chart of QoS optimization control according to an embodiment of the present invention; in the figure, E2 Node denotes a base station; if applied to a 5G network, the E2 Node may be a central unit control plane (CU-CP) or a central unit user plane (CU-UP) or a Distributed Unit (DU) of a fifth generation base station (gdnodeb or gNB) of a 5G core network (5 GC).

The non-real-time intelligent control module (non-RT RIC) sends A1 policy, including QoS targets (targets) and QoE targets, to the real-time or Near-real-time intelligent control module (Near-RT RIC) through an A1 interface, the contents of which are as follows:

QoS targets: GFBR, MFBR, Priority _ level, PDB;

QoE targets: QOE score (QOE _ score), Initial buffering (Initial _ buffering), rebuffering frequency (reBuffFreq), and staton ratio (stallRatio).

The nRT RIC may be deployed inside or outside the base station, and exchanges information with other Radio Resource Management (RRM) modules in the base station through an E2 interface. The nRT RIC may comprise KQI/QoE prediction/evaluation and or QoS provisioning applications. The prediction/evaluation of the KQI/QoE is performed by acquiring a base station side measurement parameter (corresponding to the network side data) and an L2 parameter (corresponding to the service side data, such as service characteristic data and service side tag data), and monitoring or reasoning the KQI/QoE of the service at the current time or the next time in real time.

Service-side tag data (corresponding to the service QoE and/or KQI mentioned above) such as video service: video buffering, video blocking, vMOS and the like;

VR service: stuck, screen splash, black edge rate, etc.;

game service: loading duration, time delay, vMOS, etc.

Service feature data, for example, video service: video code rate, video frame rate, etc.;

VR service: frame rate, code rate, field angle, etc. of VR traffic.

Referring to fig. 5, Near-RT RIC detects abnormal network-side indicators by detecting that QoE (such as vMOS score of video service) or KQI of service does not satisfy corresponding conditions;

here, the non-satisfaction of the respective conditions includes: a fall below a certain threshold, or a rise above a certain threshold; the conditions set for different types of QoE and/or KQI differ; for example, for the number of times of calton, when the number of times of calton rises and is higher than a certain threshold, it is considered that an abnormality occurs; for vMOS, it is considered abnormal when it falls below a certain threshold.

Then, a DRB QoS guarantee control policy (corresponding to the modification policy) is generated in association with the DRB QoS of the UE itself (corresponding to the second index value). If the abnormal network side parameter has definite corresponding relation with the DRB QoS parameter to be modified (namely, the corresponding modification scheme can be directly determined), the modification strategy is directly generated and sent to the base station in a policy form, the base station automatically detects the abnormal network side parameter and executes the action of QoS guarantee. The method comprises the following specific steps:

the Near-RT RIC generates POLICY according to the normal interval range of the network side index and a target value preset by A1 POLICY, and sends the POLICY to the base station through a RIC SUBSCRIPTION REQUEST (SUBSCRIPTION REQUEST), namely RIC POLICY, and the message comprises RIC Event Trigger Definition (Event Trigger Definition) and RIC operation Definition (Action Definition). After receiving the RIC POLICY, the base station refers to the abnormal network index parameter, and mainly detects whether the measurement parameter and the control plane parameter related to the RIC POLICY exceed a threshold value specified in an Event Trigger (Event Trigger), and if so, executes an Action.

Thus, the method provided by the embodiment of the invention is based on the current intelligent radio network (O-RAN) architecture, and the quality prediction module in the real-time RIC performs near real-time evaluation or prediction on the QoE and/or the KQI to obtain the predicted value of the predicted KQI and/or QoE (such as the user experience vMOS); when the predicted KQI and/or QoE is reduced (such as vMOS is reduced and is lower than a certain preset threshold), abnormal network side data is output, a modification strategy (used for ensuring DRB QoS) is generated by combining the abnormal network side data and the current network condition of a user, the modification strategy and an abnormal network side data index are sent to a base station together, and the base station is guided to flexibly modify the QoS parameters of the DRB where the guarantee service is located or the mapping from QoS Flow to the DRB; correspondingly, the base station receives the modification strategy, refers to various conditions in abnormal network side data detection event trigger (event trigger), and requires to modify QoS parameters of the DRB or remap the QoS Flow to the DRB; and the user experience is guaranteed.

Fig. 6 is a schematic structural diagram of a service provisioning apparatus according to an embodiment of the present invention; as shown in fig. 6, the apparatus includes:

In an embodiment, the first processing module is further configured to obtain first network-side data and second service characteristic data;

In an embodiment, the first processing module is configured to determine the modification policy based on the first indicator value when the first indicator value is determined to be lower than the first threshold.

In an embodiment, the first processing module is configured to obtain a target reference value;

In an embodiment, the first processing module is configured to query a preset modification scheme based on the abnormal network-side parameter, and determine a modification scheme corresponding to the abnormal network-side parameter;

In an embodiment, the DRB QoS parameter modification policy includes at least one of the following QoS parameters to be modified:

ARP, GFBR, MFBR, AW, MDBV, 5QI, priority, MinBR; (ii) a

In an embodiment, the DRB QoS parameter modification policy further includes at least one of:

the specified cell ID, UE ID, DRB ID, 5QI, QCI, QFI;

the cell ID includes one of: ECGI, NCGI;

the user equipment ID comprises one of: C-RNTI, RAN UE ID, RAN UE NGAP ID.

It should be noted that: in the service provisioning apparatus provided in the foregoing embodiment, when implementing the corresponding service provisioning method, only the division of each program module is used for illustration, and in practical applications, the processing allocation may be completed by different program modules as needed, that is, the internal structure of the wireless intelligent control platform is divided into different program modules, so as to complete all or part of the above-described processing. In addition, the apparatus provided by the above embodiment and the embodiment of the corresponding method belong to the same concept, and the specific implementation process thereof is described in the method embodiment, which is not described herein again.

Fig. 7 is a schematic structural diagram of a service provisioning apparatus according to an embodiment of the present invention; as shown in fig. 7, the apparatus includes:

In an embodiment, the DRB QoS parameter modification policy includes at least one of the following QoS parameters to be modified: ARP, GFBR, MFBR, AW, MDBV, dynamic 5QI, priority, MinBR;

the second processing module is used for detecting a target modification parameter; the target modification parameters comprise: the QoS parameter to be modified and the target parameter related to the event trigger are obtained;

It should be noted that: in the service provisioning apparatus provided in the foregoing embodiment, when implementing the corresponding service provisioning method, only the division of each program module is illustrated, and in practical applications, the processing allocation may be completed by different program modules according to needs, that is, the internal structure of the base station is divided into different program modules to complete all or part of the processing described above. In addition, the apparatus provided by the above embodiment and the embodiment of the corresponding method belong to the same concept, and the specific implementation process thereof is described in the method embodiment, which is not described herein again.

Fig. 8 is a schematic structural diagram of a communication device according to an embodiment of the present invention, and as shown in fig. 8, the electronic device 80 includes: a processor 801 and a memory 802 for storing computer programs operable on the processor;

when the computer program is run by the processor 801 corresponding to the wireless intelligent control platform, the following steps are executed: determining a modification strategy based on the first index value; the first index value represents the service quality; the modification policy includes at least one of: DRB QoS parameter modification strategy, and QoS flow to DRB remapping strategy; and sending the modification strategy to a base station.

Specifically, the wireless intelligent control platform may execute the method shown in fig. 2, and belongs to the same concept as the method embodiment shown in fig. 2, and the specific implementation process thereof is described in detail in the method embodiment and is not described herein again.

The processor 801 is configured to execute the computer program when the computer program is run, corresponding to the communication device being applied to a base station, to: receiving a modification strategy; the modification policy includes at least one of: DRB QoS parameter modification strategy, and QoS flow to DRB remapping strategy; and executing the operation corresponding to the modification strategy based on the modification strategy.

Specifically, the base station may execute the method shown in fig. 3, which belongs to the same concept as the method embodiment shown in fig. 3, and the specific implementation process thereof is described in detail in the method embodiment and is not described herein again.

In practical applications, the communication device 80 may further include: at least one network interface 803. The various components of the communication device 80 are coupled together by a bus system 804. It is understood that the bus system 804 is used to enable communications among the components. The bus system 804 includes a power bus, a control bus, and a status signal bus in addition to a data bus. For clarity of illustration, however, the various buses are labeled as bus system 804 in FIG. 8. The number of the processors 801 may be at least one. The network interface 803 is used for communication between the communication apparatus 80 and other apparatuses in a wired or wireless manner.

The memory 802 in embodiments of the present invention is used to store various types of data to support the operation of the communication device 80.

The methods disclosed in the embodiments of the present invention described above may be implemented in the processor 801 or implemented by the processor 801. The processor 801 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by instructions in the form of hardware integrated logic circuits or software in the processor 801. The Processor 801 may be a general purpose Processor, a DiGital Signal Processor (DSP), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. Processor 801 may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the present invention. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed by the embodiment of the invention can be directly implemented by a hardware decoding processor, or can be implemented by combining hardware and software modules in the decoding processor. The software modules may be located in a storage medium that is located in the memory 802, and the processor 801 reads the information in the memory 802 to perform the steps of the aforementioned methods in conjunction with its hardware.

In an exemplary embodiment, the communication Device 80 may be implemented by one or more Application Specific Integrated Circuits (ASICs), DSPs, Programmable Logic Devices (PLDs), Complex Programmable Logic Devices (CPLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, Micro Controllers (MCUs), microprocessors (microprocessors), or other electronic components for performing the aforementioned methods.

An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored;

when the stored computer program is applied to the wireless intelligent control platform, the computer program is executed by a processor to execute the following steps: determining a modification strategy based on the first index value; the first index value represents the service quality; the modification policy includes at least one of: DRB QoS parameter modification strategy, and QoS flow to DRB remapping strategy; and sending the modification strategy to a base station. Specifically, the wireless intelligent control platform may execute the method shown in fig. 2, and belongs to the same concept as the method embodiment shown in fig. 2, and the specific implementation process thereof is described in detail in the method embodiment and is not described herein again.

When the computer program is applied to the base station, the computer program is executed by a processor to execute: receiving a modification strategy; the modification policy includes at least one of: DRB QoS parameter modification strategy, and QoS flow to DRB remapping strategy; and executing the operation corresponding to the modification strategy based on the modification strategy. Specifically, the base station may execute the method shown in fig. 3, which belongs to the same concept as the method embodiment shown in fig. 3, and the specific implementation process thereof is described in detail in the method embodiment and is not described herein again.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.

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, that is, 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 addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.

Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several 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 methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.

It should be noted that: "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.

The technical means described in the embodiments of the present application may be arbitrarily combined without conflict.

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 appended claims.

Claims

1. A service guarantee method is applied to a wireless intelligent control platform and comprises the following steps:

determining a modification strategy based on the first index value; the first index value represents the service quality; the modification policy includes at least one of: the method comprises the steps that a wireless data bearing DRB service quality QoS parameter modification strategy and a remapping strategy of QoS flow to a DRB are carried out;

and sending the modification strategy to a base station.

2. The method of claim 1, further comprising:

acquiring first network side data and second service characteristic data;

3. The method of claim 1, wherein determining a modification policy comprises:

acquiring a target reference value;

4. The method according to claim 3, wherein the determining, based on the abnormal network-side parameter, a modification policy for adjusting the abnormal network-side parameter comprises:

5. The method of claim 1, wherein determining a modification policy based on the first indicator value comprises:

6. The method according to any of claims 1 to 5, wherein the DRB QoS parameter modification policy comprises at least one of the following QoS parameters to be modified:

priority allocation and retention characteristics ARP, guaranteed stream bit rate GFBR, maximum stream bit rate MFBR, average window AW, maximum data burst MDBV, dynamic 5G network service quality identification 5QI, priority level, minimum bit rate MinBR;

7. The method of claim 6, wherein the DRB QoS parameter modification policy further comprises at least one of:

the method comprises the steps of assigning a cell identification ID, a user equipment UE ID, a DRB ID, a 5QI, a 5G network service quality flow identification QFI and a 4G network service quality flow identification QCI;

the cell ID includes one of: an E-UTRAN cell global identifier ECGI, an NR cell global identifier NCGI;

the UE ID comprises one of: the cell temporary user identification C-RNTI, the radio access network user equipment identification RAN UE ID and the radio access network user equipment next generation application protocol identification RAN UE NGAP ID.

8. A service provisioning method applied to a base station, the method comprising:

9. The method of claim 8, wherein the DRB QoS parameter modification policy includes at least one of the following QoS parameters to be modified: ARP, GFBR, MFBR, AW, MDBV, dynamic 5QI, priority, MinBR;

10. A service provisioning apparatus, said apparatus comprising:

11. A service provisioning apparatus, said apparatus comprising:

12. A communication device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of any one of claims 1 to 7 are implemented when the program is executed by the processor; or,

the processor, when executing the program, implements the steps of the method of claim 8 or 9.

13. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7;

alternatively, the computer program realizes the steps of the method of claim 8 or 9 when executed by a processor.