A service assurance method, device and storage medium

Abstract

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

Description

TECHNICAL FIELD

[0001] The present application relates to the field of data services, and in particular to a service guarantee method and device and storage medium. BACKGROUND

[0002] In related solutions, network configuration cannot be changed according to service conditions in actual application, and when the wireless environment of a terminal changes, the network side cannot sense fluctuations in user experience in real time, and cannot give a guarantee scheme that adapts to the service demand according to the current environment of the terminal, resulting in a decline in user service experience. SUMMARY

[0003] Therefore, the main purpose of the present application is to provide a service guarantee method, device and storage medium.

[0004] To achieve the above purpose, the technical scheme of the present application is as follows:

[0005] The embodiment of the present application provides a service guarantee method applied to a wireless intelligent control platform, and the method comprises the following steps:

[0006] Based on a first index value, a modification strategy is determined; the first index value represents service quality; the modification strategy comprises at least one of the following: a wireless data bearer (DRB) service quality (QoS) parameter modification strategy, a QoS flow to DRB remapping strategy;

[0007] The modification strategy is sent to a base station.

[0008] In the above scheme, the method further comprises the following steps:

[0009] First network side data and second service characteristic data are obtained;

[0010] A preset quality prediction model is used to predict a first index value at a target time point according to the first network side data and the first service characteristic data;

[0011] The quality prediction model is trained based on historical network side data and service characteristic data and historical service quality.

[0012] In the above scheme, the determination of the modification strategy comprises the following steps:

[0013] A target reference value is obtained;

[0014] The first network side data corresponding to the first index value is compared with the target reference value to obtain a comparison result; the target reference value represents network side parameter data that meets a second index value;

[0015] According to the comparison result, an abnormal network side parameter is determined.

[0016] determine a modification strategy for adjusting the abnormal network-side parameter based on the abnormal network-side parameter.

[0017] In the above solution, the determining of the modification strategy for adjusting the abnormal network-side parameter based on the abnormal network-side parameter comprises:

[0018] querying a preset modification scheme based on the abnormal network-side parameter to determine a modification scheme corresponding to the abnormal network-side parameter.

[0019] obtaining the modification strategy based on the modification scheme corresponding to the abnormal network-side parameter.

[0020] In the above solution, the determining of the modification strategy based on the first index value comprises:

[0021] determining the modification strategy based on the first index value when the first index value is lower than a first threshold value.

[0022] In the above solution, the DRB QoS parameter modification strategy comprises at least one to-be-modified QoS parameter.

[0023] allocation and retention priority (ARP), guaranteed flow bit rate (GFBR), maximum flow bit rate (MFBR), average window (AW), maximum data burst volume (MDBV), dynamic 5G quality of service identifier (5QI), priority level, minimum bit rate (MinBR);

[0024] The QoS flow to DRB remapping strategy comprises at least one of the following: an identifier of a to-be-remapped QoS flow, a source DRB identifier, and a remapped target DRB identifier.

[0025] In the above solution, the DRB QoS parameter modification strategy further comprises at least one of the following:

[0026] a specified cell identifier (ID), a user equipment (UE) ID, a DRB ID, a 5QI, a 5G quality of service flow identifier (QFI), and a 4G quality of service flow identifier (QCI).

[0027] The cell ID comprises one of the following: an E-UTRAN cell global identifier (ECGI) and an NR cell global identifier (NCGI).

[0028] The UE ID comprises one of the following: a cell temporary user identity C-RNTI, a radio access network user equipment identifier (RAN UE ID), and a radio access network user equipment next generation application protocol identifier (RAN UE NGAP ID).

[0029] The embodiment of the application provides a service guarantee method, which is applied to a base station and comprises the following steps:

[0030] receiving a modification policy; the modification policy comprises at least one of the following: a DRB QoS parameter modification policy and a QoS flow to DRB remapping policy;

[0031] performing an operation corresponding to the modification policy based on the modification policy.

[0032] In the scheme, the DRB QoS parameter modification policy comprises at least one of the following to-be-modified QoS parameters: ARP, GFBR, MFBR, AW, MDBV, dynamic 5QI, priority level and MinBR.

[0033] The QoS flow to DRB remapping policy comprises at least one of the following: an identifier of a to-be-remapped QoS flow, a source DRB identifier and a target DRB identifier of remapping.

[0034] The performing of the operation corresponding to the modification policy based on the modification policy comprises the following steps:

[0035] detecting a target modification parameter; the target modification parameter comprises the to-be-modified QoS parameter and the to-be-remapped QoS flow;

[0036] when the target modification parameter satisfies a preset condition corresponding to a corresponding target parameter, performing an operation corresponding to the target modification parameter; the operation corresponding to the target modification parameter comprises modifying the to-be-modified QoS parameter and the to-be-remapped QoS flow.

[0037] The embodiment of the application provides a service guarantee device, which comprises the following:

[0038] a first processing module configured to determine a modification policy based on a first index value; the first index value represents a service quality; the modification policy comprises at least one of the following: a DRB QoS parameter modification policy and a QoS flow to DRB remapping policy;

[0039] a first communication module configured to send the modification policy to a base station.

[0040] The embodiment of the application provides a service guarantee device, which comprises the following:

[0041] a second communication module configured to receive a modification policy; the modification policy comprises at least one of the following: a DRB QoS parameter modification policy and a QoS flow to DRB remapping policy;

[0042] a second processing module configured to perform an operation corresponding to the modification policy based on the modification policy.

[0043] The embodiment of the present application provides a communication device, including a memory, a processor and a computer program stored in the memory and executable on the processor, when the processor executes the program, the steps of the method described in any one of the above wireless intelligent control platform sides are realized; or,

[0044] When the processor executes the program, the steps of the method described in any one of the above base station sides are realized.

[0045] The embodiment of the present application provides a computer readable storage medium, which stores a computer program, when the processor executes the program, the steps of the method described in any one of the above wireless intelligent control platform sides are realized;

[0046] Or, when the processor executes the program, the steps of the method described in any one of the above base station sides are realized.

[0047] The embodiment of the present application provides a service guarantee method, device and storage medium, the method comprises the following steps: a wireless intelligent control platform determines a modification strategy based on a first index value; the first index value represents service quality; the modification strategy comprises at least one of the following: a DRB QoS parameter modification strategy and a QoS flow to DRB remapping strategy; the modification strategy is sent to a base station; correspondingly, the base station receives the modification strategy; the modification strategy comprises at least one of the following: a DRB QoS parameter modification strategy and a QoS flow to DRB remapping strategy; based on the modification strategy, the operation corresponding to the modification strategy is executed; in this way, through the DRB QoS parameter modification strategy and the QoS flow to DRB remapping strategy, the QoS parameter of the DRB where the corresponding service is located or the mapping of the QoS flow to the DRB is flexibly modified, and the user experience is guaranteed. BRIEF DESCRIPTION OF DRAWINGS

[0048] Figure 1 It is a schematic diagram of a 5G network QoS mechanism;

[0049] Figure 2 It is a flowchart of a service guarantee method provided by the embodiment of the present application;

[0050] Figure 3 It is a flowchart of another service guarantee method provided by the embodiment of the present application;

[0051] Figure 4 It is a schematic diagram of an O-RAN architecture provided by the embodiment of the present application;

[0052] Figure 5 It is a QoS optimization control flowchart provided by the embodiment of the present application;

[0053] Figure 6A structural schematic diagram of a service guarantee device provided by an embodiment of the present application is shown in the figure.

[0054] Figure 7 A structural schematic diagram of another service guarantee device provided by an embodiment of the present application is shown in the figure.

[0055] Figure 8 A structural schematic diagram of a communication device provided by an embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0056] The present application is further described in detail below with reference to the embodiments.

[0057] The quality of service (QoS) mechanism of the long term evolution (LTE) technology is described. The QoS mechanism of the LTE includes:

[0058] After the user equipment (UE) initiates a request, the evolved packet system (EPS) bearer is established between the UE and the public data network (PDN) gateway (PGW) of the core network.

[0059] The evolved radio access bearer (E-RAB) identity document (ID) is allocated by the base station side for each EPS bearer, and each E-RAB ID corresponds to a data radio bearer (DRB) to guarantee the QoS of a type of service.

[0060] The QoS of the LTE is in units of EPS bearers, and the granularity is coarse. When there are many service scenarios, resource preemption may occur.

[0061] The QoS mechanism of the new radio (NR) is described.

[0062] The non-access stratum (NAS) of the gateway (GW) in the NR network maps the IP flows (Flows) with the same Qos requirement into the same Qos flow (Qos Flow).

[0063] The NR base station (gNB) maps the Qos Flow to the DRB to adapt the Qos requirement on the radio access network (RAN) side.

[0064] This forms a two-level mapping, so that the RAN side has a certain degree of freedom, such as the gNB can convert M Qos flows into N DRBs according to a certain strategy.

[0065] Figure 1 A schematic diagram of a 5G network QoS mechanism; Figure 1 In the figure, UE is user equipment, UPF is user plane function entity, and AN is access network function entity.

[0066] In the downlink (DL), the UPF classifies incoming packets based on their priority order according to the DL PDR's Packet Filter Sets. The UPF conveys the classification of user plane traffic belonging to a QoS flow by using the N3 (or N9) user plane marking of the QFI. The AN binds the QoS Flow to resources. There is no strict 1:1 relationship between QoS Flow and resources. It is up to the AN to establish the necessary AN resources to which a QoS Flow can be mapped and to release them. The AN shall indicate to the SMF when the AN resources to which a QoS Flow is mapped are released.

[0067] In combination Figure 1 As can be seen from the above description of the Qos mechanism, the 5G core network cancels the concept of bearer in LTE and introduces the concept of QoS flow. 5G performs QoS processing based on the granularity of the flow, uses the Quality of Service Flow Identity (QFI) to identify different QoS flows, and the network side performs packet forwarding based on the QFI. The user plane data in the Protocol Data Unit (PDU) session with the same QFI will obtain the same forwarding processing (such as the same scheduling, the same admission threshold, etc.). There is no longer a bearer between the 5GC and the RAN. When there is a new QoS requirement, only a new radio bearer needs to be established. For each PDU session, there is a single tunnel between the 5GC and the RAN, and the RAN side manages the data radio bearer (DRB) and the mapping of the QoS Flow to the DRB by itself. The implementation of 5G QoS guarantee is through the operation of QoS Flow. QoS Flow can be pre-configured or maintained through the PDU session establishment / modification process.

[0068] The related 3GPP technical solution cannot keep up with the industry in actual application. When the terminal wireless environment changes, on the one hand, the network side cannot sense the fluctuation of user experience in real time, and on the other hand, the traditional semi-static QoS parameter configuration cannot adapt to the business demand, resulting in the decline of user business experience.

[0069] Based on this, the method provided by the embodiment of the application, the wireless intelligent control platform determines a modification strategy based on a first index value; the first index value represents service quality; the modification strategy includes at least one of the following: a DRB QoS parameter modification strategy, and a QoS flow to DRB remapping strategy; the modification strategy is sent to a base station; correspondingly, the base station receives the modification strategy; the modification strategy includes at least one of the following: a DRB QoS parameter modification strategy, and a QoS flow to DRB remapping strategy; based on the modification strategy, an operation corresponding to the modification strategy is performed.

[0070] The application will be further described in detail below with reference to the embodiments.

[0071] Figure 2 A flowchart of a service guarantee method provided by the embodiment of the application is shown in FIG. 2. Figure 2 As shown in FIG. 2, the method is applied to a wireless intelligent control platform, and specifically can be applied to a near-real-time radio intelligent controller (Near-RTRIC, near-real-time radio intelligent controller) of the wireless intelligent control platform; the method includes the following steps.

[0072] In step 201, a modification strategy is determined based on a first index value; the first index value represents service quality; the modification strategy includes at least one of the following: a DRB QoS parameter modification strategy, and a QoS flow to DRB remapping strategy.

[0073] In step 202, the modification strategy is sent to a base station.

[0074] The first index value is the service quality of a first service; the first index value can be Quality of Experience (QoE) and / or Key Quality Indicators (KQI).

[0075] The first index value can be QoE and / or KQI at a preset time point after a current time point, so as to realize real-time or near-real-time service QoE optimization.

[0076] The preset time point can be a time point 100ms to 1s after the current time point.

[0077] In an embodiment, the method further includes the following steps.

[0078] First network side data and second service characteristic data are acquired.

[0079] applying a preset quality prediction model to predict a first index value at a target time point according to the first network side data and the first service characteristic data;

[0080] The quality prediction model is trained based on historical network side data and service characteristic data and historical service quality.

[0081] To determine the first index value, in an embodiment, a training method of a quality prediction model is provided. Specifically, the method further comprises generating the quality prediction model, specifically comprising:

[0082] obtaining a training data set; the training data set comprising at least one training sample and a label corresponding to each training sample;

[0083] applying the training data set to train a preset neural network; and taking the trained neural network as the quality prediction model.

[0084] Here, the quality prediction model is trained based on historical network side data and service characteristic data and historical service quality.

[0085] Specifically, the at least one training sample and the label corresponding to each training sample can be obtained based on historical data; specifically, the network side data and the service characteristic data at each historical time point are determined based on historical data, and the QoE and / or KQI corresponding to the historical time point are determined as the label of the historical time point.

[0086] It should be noted that the above label and training sample have the same timestamp, i.e., correspond to the same time point. However, the KQI / QoE prediction is to predict the KQI / QoE after a certain unit of time; the setting of the unit of time is determined based on the time requirement, and here, to realize the prediction of the near real-time service QoE, the unit of time can be any value of 100ms-1s; i.e., the first index value at the time point after 100ms-1s can be predicted.

[0087] The network side data comprises cell load information, user channel state information, QoS flow control parameter information, and DRB MAC parameter information.

[0088] The service characteristic data is related to the service type, and the service characteristic data of different service types is different; for example, for a video service, the corresponding service characteristic data can comprise video code rate and video frame rate; and the corresponding service QoE and / or KQI comprises video initial buffering, video freezing, video mean opinion score (vMOS, video mean opinion score), etc.

[0089] A virtual reality (VR) service, corresponding service characteristic data can include: code rate, frame rate, field of view angle of the VR service; corresponding service QoE and / or KQI can include: freezing, screen tearing, black edge rate, etc.

[0090] A game service, corresponding service characteristic data can include: loading time, latency; corresponding, service QoE and / or KQI, including: vMOS, etc.

[0091] Correspondingly, in actual application, a preset quality prediction model is used to predict a first index value at a preset time point according to the network side data and the service characteristic data, including:

[0092] According to the network side data and the service characteristic data at the current time, a first index value at the next time (100ms-1s later) is predicted; the first index value includes QoE and / or KQI.

[0093] In an embodiment, the determination of the modification strategy includes:

[0094] Obtaining a target reference value;

[0095] 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 network side parameter data when the second index value is met;

[0096] According to the comparison result, determining an abnormal network side parameter;

[0097] Based on the abnormal network side parameter, determining a modification strategy for adjusting the abnormal network side parameter.

[0098] Here, the target reference value is a better KQI result and / or a higher QoE score, for example, when KQI and / or QoE meet service requirements (such as exceeding a certain threshold), the corresponding situation is considered to be a normal situation, and the network side parameter at this time is taken as the target reference value; The network side data when the second index value is met can also be taken as the target reference value.

[0099] That is, by comparing the current network side parameter data with the network side parameter data in the normal situation, the network side parameter deviating from the normal interval is determined as the abnormal network side parameter.

[0100] Specifically, the network side parameter when the second index value is met can be determined in advance, and it is taken as the network side parameter data in the normal situation, i.e., the target reference value; by comparing the current first network side data with the target reference value in the normal situation, the network side parameter deviating from the normal interval is determined as the abnormal network side parameter.

[0101] Thus, the problem is quickly analyzed and located, guiding the base station to adjust the DRB QoS parameter in real time, so as to adapt to the service demand, and achieve the good technical effect of real-time guaranteeing the service experience of users.

[0102] In order to realize the above comparison, the method further comprises:

[0103] Receiving the actual DRB QoS of the service flow from the base station, and comparing the actual DRB QoS of the service flow with the second index value.

[0104] Here, the second index value is a preset target DRB QoS.

[0105] Based on the second index value, the target reference data in normal time can be monitored when providing service.

[0106] The target DRB QoS represents the DRB QoS or the QoS target required in the A1 policy when the KQI result is good (such as satisfying the corresponding conditions of the KQI) and / or the QoE score is high (such as satisfying the corresponding conditions of the QoE).

[0107] Here, the A1 policy can be artificially set (such as set by a user based on service demand), or sent by a network management to a non-real-time RIC, and the real-time RIC obtains it from the non-real-time RIC; or directly sent to the real-time RIC by an external module.

[0108] The A1 is an interface between the non-real-time RIC and the real-time or near-real-time RIC in the O-RAN architecture. Here, it can be generalized as an interface sent by other functional modules to the real-time or near-real-time RIC.

[0109] In an embodiment, the determining the modification strategy based on the first index value comprises:

[0110] When the first index value is lower than a first threshold value, determining the modification strategy based on the first index value.

[0111] The first threshold value is preset by a developer, or is the QoE and / or KQI determined based on the target DRB QoS.

[0112] For example, when the vMOS score is high (or higher than a certain threshold) or the KQI is high, the network side indicators are stable in a certain range, for example, the reference signal receiving power (RSRP) should be greater than -90, and when the RSRP is less than -90, it is considered that the indicator is abnormal (i.e., the first indicator value is lower than the first threshold); here, the RSRP is a network side indicator, and the deterioration of the RSRP may cause the decline of the service KQI, and it is considered that the decline of the service experience may be caused.

[0113] The network side indicators include but are not limited to: RSRP, channel quality information (CQI), signal to interference plus noise ratio (SINR), reference signal receiving quality (RSRQ), downlink reference signal receiving quality (DLRSRQ), downlink block error rate (DLBLER), downlink transmission bandwidth (DLRB), user equipment power headroom report (UE PHR), timing advance (TA).

[0114] In an embodiment, the modification strategy for adjusting the abnormal network side parameter is determined based on the abnormal network side parameter, including:

[0115] Based on the abnormal network side parameter, a preset modification scheme is queried to determine the modification scheme corresponding to the abnormal network side parameter.

[0116] Based on the modification scheme corresponding to the abnormal network side parameter, the modification strategy is obtained.

[0117] The preset modification scheme includes at least one parameter adjustment strategy that can be adopted for different abnormal network side parameters.

[0118] In consideration of different network states, i.e., there can be no corresponding modification scheme, a notification message can be sent to the operation and maintenance personnel to diagnose the network problem and determine the modification strategy; or the wireless intelligent control platform can have a preset strategy generation algorithm, which is used to analyze one or more abnormal network side parameters to determine the corresponding modification strategy.

[0119] Specifically, the modification strategy includes at least one event trigger and a corresponding behavior for each event trigger.

[0120] Specifically, the modification strategy includes at least one of the following: DRB QoS parameter modification strategy, QoS flow to DRB remapping strategy.

[0121] The DRB QoS parameter modification strategy includes at least one of the following to be modified QoS parameters: priority allocation and retention characteristics (ARP, Allocation and Retention Priority characteristics), guaranteed flow bit rate (GFBR, Guarantee Flow Bit Rate), maximum flow bit rate (MFBR, Maximum Flow Bit Rate), average window, maximum data burst volume, dynamic 5G service quality identifier (5QI, 5G Qos Flow ID), priority level, minimum bit rate (MinBR, Minimum Bit Rate).

[0122] The DRB QoS parameter modification strategy can also include at least one of the following:

[0123] The specified cell identity (ID, Identity), user equipment (UE, User Equipment) ID, DRB ID, 5G network quality of service identifier (5QI, 5G QoS Identifier), 5G network quality of service flow identifier (QFI), 4G network quality of service flow identifier (QCI, Qos Class Identity).

[0124] The cell ID can be an evolved universal terrestrial radio access network (E-UTRAN, Evolved Universal Terrestrial 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).

[0125] The UE ID can be one of the following: a cell temporary user identifier (C-RNTI, Cell Radio Network Temporary Identifier), a RAN UE ID, and a RAN UE next generation application protocol (NGAP, Next Generation Application Protocol) ID.

[0126] The QoS flow (Flow) to DRB remapping strategy includes at least one of the following: identification of the QoS flow to be remapped (QoS Flow ID), source DRB identification, and target DRB identification for remapping.

[0127] For the modification strategy, an example of the modification strategy is provided, for example, the correspondence between the event trigger (Event Trigger) and the action (Action) shown in Table 1.

[0128] Correspondingly, after the base station receives the above modification strategy, it needs to monitor whether the measurement data and the user equipment context (UE CONTEXT) data (such as wireless capability, wireless resource information, etc.) satisfy the conditions in the event trigger, and if a condition is satisfied, the corresponding action of the satisfied condition is performed to modify the DRB QoS parameter or the QoS flow to DRB remapping, so as to guarantee the user experience.

[0129] That is, after the base station receives the modification strategy, it monitors the target modification parameters (such as the above-mentioned QoS parameters to be modified, the QoS Flow identification to be remapped, the network side indicators in the modification strategy, the conditions in the modification strategy, etc.) carried in the DRB QoS parameter modification strategy and the QoS flow to DRB remapping strategy, and when the target modification parameters do not satisfy the requirement of the second indicator value or the condition is satisfied, the corresponding parameters are modified to the requirement of the second indicator value.

[0130]

[0131]

[0132] The QoS parameters that can be modified are shown in Table 1, and specific QoS parameters are shown in Table 2.

[0133]

[0134] Table 2

[0135] The above is only one description of the QoS parameters that can be modified, and includes but is not limited to the above parameters.

[0136] Figure 3 A flowchart of a service guarantee method provided by an embodiment of the application is shown in FIG. 1. As shown in FIG. 1, the method is applied to a base station, which can be a base station of the 4th generation mobile communication technology (4G), a base station of the 5th generation mobile networks (5G), a base station of the th generation mobile networks (6G), etc. The method includes the following steps. Figure 3

[0137] Step 301: receiving a modification policy, wherein the modification policy includes at least one of the following: a DRB QoS parameter modification policy, and a QoS flow to DRB remapping policy.

[0138] Here, the modification policy can be received from a wireless intelligent control platform. The wireless intelligent control platform has real-time RIC.

[0139] Step 302: performing an operation corresponding to the modification policy based on the modification policy.

[0140] In an embodiment, the modification policy includes at least one event trigger and a corresponding behavior for each event trigger.

[0141] 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 level, and MinBR.

[0142] The QoS flow to DRB remapping policy includes at least one of the following: an identifier of a QoS flow to be remapped, a source DRB identifier, and a target DRB identifier for remapping.

[0143] The operation corresponding to the modification policy is performed based on the modification policy, including:

[0144] ​Detect a target modification parameter; the target modification parameter includes: the QoS parameter to be modified, and a target parameter related to the event trigger;

[0145] When it is determined that the target modification parameter meets a preset condition corresponding to the target parameter, an operation corresponding to the target modification parameter is performed; the operation corresponding to the target modification parameter includes: modifying the QoS parameter to be modified and the QoS flow to be remapped.

[0146] That is, after the base station receives the modification policy, the target modification parameter (such as the QoS parameter to be modified and the parameter corresponding to the event trigger (condition)) carried in the DRB QoS parameter modification policy and the QoS flow to DRB remapping policy is monitored, and when it is detected that the target modification parameter does not meet the requirement of the second index value or the condition is met, the corresponding parameter is modified to meet the requirement of the second index value.

[0147] The method provided by the embodiment of the application provides a near-real-time (100ms-1s) service experience optimization scheme, a quality prediction module in a near-real-time intelligent controller performs near-real-time evaluation or prediction on user service experience or a key service index, generates a corresponding modification policy based on the evaluation or prediction result, and sends the modification policy to a base station to guide the base station to flexibly modify QoS parameters of a DRB where the service is located or mapping of a QoS flow to the DRB, thereby guaranteeing user experience.

[0148] Figure 2 And Figure 3 As shown in the method, the modification policy (policy) sent by the real-time RIC has a certain timeliness. For example, if a video user changes the video resolution, the video code rate will change correspondingly, which causes the normal range of the network side index for maintaining high user experience to change, and at this time, it is necessary to re-determine and send the modification policy to the base station. Correspondingly, the base station receives the modification policy and performs a corresponding operation.

[0149] Figure 4 A schematic diagram of an O-RAN architecture provided by the embodiment of the application is shown in FIG. 1. Figure 4 As shown in FIG. 1, the O-RAN architecture is applied to a video service, and the video server is open to capabilities.

[0150] The wireless intelligent control platform includes a service management and orchestration (SMO) module and a near-real-time wireless intelligent controller (Near-RT RIC).

[0151] SMO includes a non-real-time radio intelligent controller (Non-RT RIC).

[0152] A1 is an interface for SMO to communicate with the Near-RT RIC, E2 is an interface for the Near-RT RIC to communicate with the base station, and Uu is an interface for the terminal to communicate with the base station.

[0153] Figure 5 A QoS optimization control flowchart is provided for an embodiment of the application. In the figure, the E2 Node represents a base station. If applied to a 5G network, the E2 Node can be a central unit control plane (CU-CP) or a central unit user plane (CU-UP) of a fifth-generation base station (gNodeB or gNB) of a 5G core network (5GC) or a distributed unit (DU).

[0154] The non-real-time intelligent control module (non-RT RIC) sends an A1 policy to the real-time or near-real-time intelligent control module (Near-RT RIC) through the A1 interface, including QoS targets and QoE targets, as follows:

[0155] QoS targets: GFBR, MFBR, Priority_level, and PDB.

[0156] QoE targets: QoE_score, Initial_buffering, reBuffFreq, and stallRatio.

[0157] The nRT RIC can be deployed in or out of the base station and interacts with other radio resource management (RRM) modules in the base station through the E2 interface. The nRT RIC can include KQI / QoE prediction / evaluation and / or QoS guarantee applications. The KQI / QoE prediction / evaluation collects base station side measurement parameters (equivalent to the above network side data) and L2 parameters (equivalent to the above service side data, such as service characteristic data and service side label data) to monitor or infer the current or next time KQI / QoE of the service in real time.

[0158] Service side label data (equivalent to the above service QoE and / or KQI) is, for example, video service: video initial buffering, video stall, vMOS, etc.

[0159] VR service: stall, screen tearing, black edge rate, etc.

[0160] Game service: loading duration, latency, vMOS, etc.

[0161] Service characteristic data, for example, video service: video code rate, video frame rate, etc.

[0162] VR service: frame rate, code rate, field of view angle, etc. of VR service.

[0163] In combination Figure 5 As shown, the Near-RT RIC detects abnormal network side indicators by detecting that the service QoE (such as the vMOS score of the video service) or KQI does not meet the corresponding condition.

[0164] Here, not meeting the corresponding condition includes: appearing to drop and being lower than a certain threshold, or appearing to rise and being higher than a certain threshold; the conditions set for different types of QoE and / or KQI are different; for example, for the number of stalls, it is considered abnormal when it rises and is higher than a certain threshold; for vMOS, it is considered abnormal when it drops and is lower than a certain threshold.

[0165] Then, in combination with the DRB QoS of the UE itself (equivalent to the above-mentioned second index value), a DRB QoS guarantee control strategy (equivalent to the above-mentioned modification strategy) is generated. If there is a clear correspondence between the abnormal network side parameters and the DRB QoS parameters that should be modified (i.e., the corresponding modification scheme can be directly determined), then the modification strategy is directly generated in the form of policy (strategy) and sent to the base station, so that the base station automatically detects network side parameter abnormalities and executes QoS guarantee action. The specific process is as follows:

[0166] The Near-RT RIC generates a policy according to the normal range of the network side indicators and the target value preset by the A1 policy, and sends it to the base station through the RIC subscription request (SUBSCRIPTION REQUEST), i.e., RIC POLICY. The message contains RIC event trigger definition (Event Trigger Definition) and RIC operation definition (Action Definition). After the base station receives the RIC POLICY, it detects whether the measurement parameters and control plane parameters related to the abnormal network indicators exceed the threshold specified in the event trigger (Event Trigger), and executes the action if they do.

[0167] Thus, the method provided by the embodiment of the present application is based on the current intelligent wireless network (O-RAN) architecture, and a quality prediction module in real-time RIC performs near-real-time evaluation or prediction on QoE and / or KQI to obtain predicted values of predicted KQI and / or QoE (such as user experience vMOS); when the predicted KQI and / or QoE decrease (for example, vMOS decreases and is lower than a certain preset threshold), abnormal network side data is output, a modification strategy (for guaranteeing DRB QoS) is generated in combination with the abnormal network side data and the current network status of the user, and the modification strategy is sent to a base station together with abnormal network side data indexes, so as to guide the base station to flexibly modify QoS parameters of the DRB on which the service is guaranteed or the mapping of a QoS flow to the DRB; correspondingly, the base station receives the modification strategy, refers to each condition in the event trigger according to the abnormal network side data, and requires to perform QoS parameter modification of the DRB or remapping of the QoS flow to the DRB; and user experience is guaranteed.

[0168] Figure 6 A structural schematic diagram of a service guarantee device provided by the embodiment of the present application is shown in FIG. 1. Figure 6 As shown in FIG. 1, the device includes:

[0169] A first processing module configured to determine a modification strategy based on a first index value; the first index value represents service quality; and the modification strategy includes at least one of the following: a DRB QoS parameter modification strategy, and a QoS flow to DRB remapping strategy.

[0170] A first communication module configured to send the modification strategy to a base station.

[0171] In an embodiment, the first processing module is further configured to obtain first network side data and second service characteristic data.

[0172] The first processing module is configured to predict a first index value at a target time point by using a preset quality prediction model and according to the first network side data and the first service characteristic data.

[0173] The quality prediction model is trained based on historical network side data and service characteristic data, and historical service quality.

[0174] In an embodiment, the first processing module is configured to determine the modification strategy based on the first index value when the first index value is lower than a first threshold.

[0175] In an embodiment, the first processing module is configured to obtain a target reference value.

[0176] The first network side data corresponding to the first index value is compared with the target reference value to obtain a comparison result; the target reference value represents data of a network side parameter when a second index value is met;

[0177] According to the comparison result, an abnormal network side parameter is determined;

[0178] Based on the abnormal network side parameter, a modification strategy for adjusting the abnormal network side parameter is determined.

[0179] 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.

[0180] Based on the modification scheme corresponding to the abnormal network side parameter, the modification strategy is obtained.

[0181] In an embodiment, the DRB QoS parameter modification strategy includes at least one of the following to-be-modified QoS parameters:

[0182] ARP, GFBR, MFBR, AW, MDBV, 5QI, priority level, MinBR;

[0183] The QoS flow to DRB remapping strategy includes at least one of the following: identification of a to-be-remapped QoS flow, source DRB identification, and remapped target DRB identification.

[0184] In an embodiment, the DRB QoS parameter modification strategy further includes at least one of the following:

[0185] A specified cell ID, UE ID, DRB ID, 5QI, QCI, QFI;

[0186] The cell ID includes one of the following: ECGI, NCGI;

[0187] The user equipment ID includes one of the following: C-RNTI, RAN UE ID, RAN UE NGAP ID.

[0188] It should be noted that the service guarantee device provided in the above embodiments is used to implement the corresponding service guarantee method, and only the division of the above program modules is used as an example for illustration. In actual application, the above processing can be completed by different program modules according to needs, that is, the internal structure of the wireless intelligent control platform is divided into different program modules to complete all or part of the above-described processing. In addition, the device and the corresponding method provided in the above embodiments belong to the same concept, and the specific implementation process is described in the method embodiments, which will not be repeated here.

[0189] Figure 7 A structural schematic diagram of a service guarantee device provided by an embodiment of the present application is shown in FIG. 1. As shown in FIG. 1, the device comprises: Figure 7

[0190] A second communication module, configured to receive a modification policy; the modification policy comprises at least one of the following: a DRB QoS parameter modification policy, a QoS flow to DRB remapping policy;

[0191] A second processing module, configured to perform an operation corresponding to the modification policy based on the modification policy.

[0192] In an embodiment, the DRB QoS parameter modification policy comprises at least one of the following QoS parameters to be modified: ARP, GFBR, MFBR, AW, MDBV, dynamic 5QI, priority level, MinBR;

[0193] The QoS flow to DRB remapping policy comprises at least one of the following: an identifier of a QoS flow to be remapped, an identifier of a source DRB, and an identifier of a target DRB to be remapped;

[0194] The second processing module is configured to detect a target modification parameter; the target modification parameter comprises the QoS parameter to be modified and a target parameter related to the event trigger;

[0195] When it is determined that the target modification parameter satisfies a preset condition corresponding to the target parameter, an operation corresponding to the target modification parameter is performed; the operation corresponding to the target modification parameter comprises modifying the QoS parameter to be modified and the QoS flow to be remapped.

[0196] It should be noted that the service guarantee device provided by the above embodiments is only used as an example to illustrate the division of the above program modules, and in actual applications, the above processing can be completed by different program modules according to needs, i.e., the internal structure of the base station is divided into different program modules to complete all or part of the above-described processing. In addition, the device and the corresponding method provided by the above embodiments belong to the same concept, and the specific implementation process is described in the method embodiments, which will not be repeated here.

[0197] Figure 8 A structural schematic diagram of a communication device provided by an embodiment of the present application is shown in FIG. 1. As shown in FIG. 1, the electronic device 80 comprises a processor 801 and a memory 802 for storing a computer program capable of running on the processor; Figure 8

[0198] ​​Corresponding to the application of the communication device to the wireless intelligent control platform, when the processor 801 executes the computer program, the following is executed: determining a modification strategy based on a first index value; the first index value represents a service quality; the modification strategy includes at least one of the following: a DRB QoS parameter modification strategy, a QoS flow to DRB remapping strategy; and sending the modification strategy to a base station.

[0199] Specifically, the wireless intelligent control platform can execute the method as shown in Figure 2 The method embodiment as shown in Figure 2 belongs to the same concept, and its specific implementation process is described in the method embodiment, which will not be repeated here.

[0200] Corresponding to the application of the communication device to the base station, when the processor 801 executes the computer program, the following is executed: receiving a modification strategy; the modification strategy includes at least one of the following: a DRB QoS parameter modification strategy, a QoS flow to DRB remapping strategy; and executing the operation corresponding to the modification strategy based on the modification strategy.

[0201] Specifically, the base station can execute the method as shown in Figure 3 The method embodiment as shown in Figure 3 belongs to the same concept, and its specific implementation process is described in the method embodiment, which will not be repeated here.

[0202] In actual application, the communication device 80 can further include at least one network interface 803. The various components in the communication device 80 are coupled together by a bus system 804. It can be understood that the bus system 804 is used to realize the connection and communication between the components. The bus system 804 includes not only a data bus, but also a power bus, a control bus and a status signal bus. However, for the purpose of clear illustration, all kinds of buses are marked as the bus system 804 in Figure 8 . The number of the processor 801 can be at least one. The network interface 803 is used for wired or wireless communication between the communication device 80 and other devices.

[0203] The memory 802 in the embodiment of the application is used to store various types of data to support the operation of the communication device 80.

[0204] The method disclosed by the embodiments of the present application can be applied to the processor 801 or implemented by the processor 801. The processor 801 can be an integrated circuit chip having a signal processing capability. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor 801 or an instruction in the form of software. The processor 801 described above can be a general processor, a digital signal processor (DSP, DiGital Signal Processor), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 801 can implement or execute the disclosed methods, steps and logic block diagrams in the embodiments of the present application. The general processor can be a microprocessor or any conventional processor, etc. In combination with the steps of the method disclosed in the embodiments of the present application, the foregoing method can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module can be located in a storage medium, and the storage medium is located in the memory 802. The processor 801 reads the information in the memory 802 and combines the hardware to complete the steps of the foregoing method.

[0205] In the exemplary embodiments, the communication device 80 can be implemented by one or more application specific integrated circuits (ASICs, Application Specific Integrated Circuits), DSPs, programmable logic devices (PLDs, Programmable Logic Devices), complex programmable logic devices (CPLDs, Complex Programmable Logic Devices), field programmable gate arrays (FPGAs, Field-Programmable Gate Arrays), general-purpose processors, controllers, microcontrollers (MCUs, Micro Controller Units), microprocessors (Microprocessors), or other electronic elements, for executing the foregoing method.

[0206] The embodiments of the present application also provide a computer readable storage medium, which has a computer program stored thereon;

[0207] Corresponding to the storage of the computer program applied to the wireless intelligent control platform, when the computer program is run by the processor, the following is executed: determining a modification strategy based on a first index value; the first index value represents a quality of service; the modification strategy includes at least one of the following: a DRB QoS parameter modification strategy, a QoS flow to DRB remapping strategy; and sending the modification strategy to a base station. Specifically, the wireless intelligent control platform can execute the method shown in Figure 2 The wireless intelligent control platform can execute the method shown in Figure 2The method embodiments shown belong to the same concept, and the specific implementation process is described in the method embodiments, which will not be repeated here.

[0208] Corresponding to the computer program stored in the base station, when the computer program is run by the processor, the following operations are performed: receiving a modification policy; the modification policy includes at least one of the following: DRB QoS parameter modification policy, QoS flow to DRB remapping policy; based on the modification policy, the operation corresponding to the modification policy is performed. Specifically, the base station can perform as Figure 3 The method shown, and Figure 3 The method embodiments shown belong to the same concept, and the specific implementation process is described in the method embodiments, which will not be repeated here.

[0209] In several embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented by other ways. The above-described device embodiments are only schematic, for example, the division of the units is only a logical function division, and actual implementation can have another division manner, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored, or not executed. In addition, the coupling or direct coupling or communication connection between the various components shown or discussed can be through some interface, indirect coupling or communication connection between devices or units, which can be electrical, mechanical or other forms.

[0210] The units described above as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place or distributed on multiple network units; some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0211] In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be realized in the form of hardware or hardware plus software functional unit.

[0212] Those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by program instruction related hardware, and the above-mentioned program can be stored in a computer readable storage medium, and the program is executed to perform the steps of the above-mentioned method embodiments; and the above-mentioned storage medium includes: mobile storage device, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and various storage program codes.

[0213] Alternatively, the above-mentioned integrated unit of the present application, if realized in the form of a software function module and sold or used as an independent product, can also be stored in a computer-readable storage medium. Based on such an understanding, the technical solutions of the embodiments of the present application can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the methods described in the embodiments of the present application. The aforementioned storage medium includes: mobile storage devices, ROM, RAM, magnetic disks or optical disks, and various media that can store program codes.

[0214] It should be noted that "first", "second", and the like are used to distinguish similar objects, and do not necessarily have to describe a specific order or sequence.

[0215] In addition, the technical solutions described in the embodiments of the present application can be combined arbitrarily without conflict.

[0216] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A service assurance method, characterized by, The method is applied to a wireless intelligent control platform and comprises the following steps: obtaining first network side data and first service characteristic data; the first network side data comprises cell load information, user channel state information, QoS flow control parameter information, and MAC parameter information of a DRB, and the first service characteristic data is related to a service type; using a preset quality prediction model to predict a first index value at a target time point according to the first network side data and the first service characteristic data; the quality prediction model is obtained based on historical network side data and service characteristic data and historical service quality training; determining a modification strategy based on the first index value; the first index value represents service quality; the modification strategy comprises at least one of a DRB QoS parameter modification strategy and a QoS flow to DRB remapping strategy; sending the modification strategy to a base station; wherein the determination of the modification strategy comprises the following steps: obtaining a target reference value; comparing 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 network side parameter data when a second index value is met; determining an abnormal network side parameter according to the comparison result; querying a preset modification scheme based on the abnormal network side parameter to determine a modification scheme corresponding to the abnormal network side parameter; obtaining the modification strategy based on the modification scheme corresponding to the abnormal network side parameter; wherein the DRB QoS parameter modification strategy comprises at least one of the following to-be-modified QoS parameters: priority allocation and retention feature ARP, guaranteed flow bit rate GFBR, maximum flow bit rate MFBR, average window AW, maximum data burst volume MDBV, dynamic 5G network service quality identifier 5QI, priority level, and minimum bit rate MinBR; the QoS flow to DRB remapping strategy comprises at least one of the following: an identifier of a to-be-remapped QoS flow, a source DRB identifier, and a target DRB identifier for remapping.

2. The method of claim 1, wherein, The determination of the modification strategy based on the first index value comprises the following steps: when the first index value is lower than a first threshold value, determining the modification strategy based on the first index value.

3. The method of claim 1, wherein, The DRB QoS parameter modification strategy further comprises at least one of the following: a specified cell identifier ID, a user equipment UE ID, a DRB ID, a 5QI, a 5G network service quality flow identifier QFI, and a 4G network service quality flow identifier QCI; the cell ID comprises one of the following: an E-UTRAN cell global identifier ECGI and an NR cell global identifier NCGI; the UE ID comprises one of the following: a cell temporary user identifier C-RNTI, a radio access network user equipment identifier RAN UE ID, and a radio access network user equipment next generation application protocol identifier RAN UE NGAP ID.

4. A service assurance method characterized by, The method is applied to a base station and comprises the following steps: receive a modification policy; the modification policy comprises at least one of a DRB QoS parameter modification policy, a QoS flow to DRB remapping policy; the modification policy is determined based on a first index value; the first index value is a first index value at a target time point; the first index value is predicted by a wireless intelligent control platform using a preset quality prediction model based on first network side data and first service characteristic data; the first network side data and the first service characteristic data are obtained by the wireless intelligent control platform; the first network side data comprises cell load information, user channel state information, QoS flow control parameter information, and DRB MAC parameter information; the first service characteristic data is related to service type; the quality prediction model is trained based on historical network side data and service characteristic data, and historical service quality; based on the modification policy, perform the operation corresponding to the modification policy; wherein the modification policy is determined by the wireless intelligent control platform based on an abnormal network side parameter corresponding modification scheme; the abnormal network side parameter corresponding modification scheme is determined by the wireless intelligent control platform based on an abnormal network side parameter query preset modification scheme; the abnormal network side parameter is determined by the wireless intelligent control platform based on the comparison result; the comparison result is obtained by the wireless intelligent control platform by comparing the first network side data corresponding to the first index value with the target reference value; the target reference value represents the network side parameter data when the second index value is satisfied; the target reference value is obtained by the wireless intelligent control platform; wherein the DRB QoS parameter modification policy comprises at least one of the following: QoS parameters to be modified: ARP, GFBR, MFBR, AW, MDBV, dynamic 5QI, priority level, MinBR; The QoS flow to DRB remapping policy comprises at least one of the following: identification of QoS flow to be remapped, source DRB identification and remapped target DRB identification.

5. The method of claim 4, wherein, The operation corresponding to the modification policy is performed based on the modification policy, comprising: detecting a target modification parameter; the target modification parameter comprises: the QoS parameter to be modified, and the QoS flow to be remapped; when the target modification parameter satisfies the preset condition corresponding to the corresponding target parameter, performing the operation corresponding to the target modification parameter; the operation corresponding to the target modification parameter comprises: modifying the QoS parameter to be modified and the QoS flow to be remapped.

6. A service assurance apparatus, characterized by comprising: The device comprises: a first processing module for obtaining first network side data and first service characteristic data; the first network side data comprises cell load information, user channel state information, QoS flow control parameter information, and DRB MAC parameter information; the first service characteristic data is related to service type; a preset quality prediction model is used to predict a first index value at a target time point based on the first network side data and the first service characteristic data; the quality prediction model is trained based on historical network side data and service characteristic data, and historical service quality; The first processing module is further configured to determine a modification strategy based on the first index value, wherein the first index value represents a service quality, and the modification strategy comprises at least one of a DRB QoS parameter modification strategy and a QoS flow to DRB remapping strategy. The first communication module is configured to send the modification strategy to a base station. The first processing module is specifically configured to obtain a target reference value, compare first network side data corresponding to the first index value with the target reference value to obtain a comparison result, wherein the target reference value represents network side parameter data when a second index value is met, determine an abnormal network side parameter based on the comparison result, query a preset modification scheme based on the abnormal network side parameter to determine a modification scheme corresponding to the abnormal network side parameter, and obtain the modification strategy based on the modification scheme corresponding to the abnormal network side parameter. The DRB QoS parameter modification strategy comprises at least one of the following to-be-modified QoS parameters: priority allocation and reservation feature ARP, guaranteed flow bit rate GFBR, maximum flow bit rate MFBR, average window AW, maximum data burst volume MDBV, dynamic 5G network service quality identifier 5QI, priority level, and minimum bit rate MinBR; and the QoS flow to DRB remapping strategy comprises at least one of the following: an identifier of a to-be-remapped QoS flow, a source DRB identifier, and a target DRB identifier of remapping.

7. A service assurance apparatus, characterized by, The apparatus comprises: The second communication module is configured to receive a modification strategy, wherein the modification strategy comprises at least one of a DRB QoS parameter modification strategy and a QoS flow to DRB remapping strategy, the modification strategy is determined based on a first index value, the first index value is a first index value at a target time point, the first index value is predicted by a wireless intelligent control platform based on first network side data and first service characteristic data by using a preset quality prediction model, the first network side data and the first service characteristic data are obtained by the wireless intelligent control platform, the first network side data comprises cell load information, user channel state information, QoS flow control parameter information, and DRB MAC parameter information, and the first service characteristic data is related to a service type; and the quality prediction model is trained based on historical network side data and service characteristic data and historical service quality. The second processing module is configured to execute an operation corresponding to the modification strategy based on the modification strategy, wherein the modification strategy is determined by the wireless intelligent control platform based on a modification scheme corresponding to an abnormal network side parameter; the modification scheme corresponding to the abnormal network side parameter is determined by the wireless intelligent control platform based on a preset modification scheme by querying the abnormal network side parameter; the abnormal network side parameter is determined by the wireless intelligent control platform based on a comparison result; the comparison result is obtained by the wireless intelligent control platform by comparing first network side data corresponding to the first index value with a target reference value; the target reference value represents data of the network side parameter when a second index value is satisfied; and the target reference value is obtained by the wireless intelligent control platform. The DRB QoS parameter modification strategy includes at least one of the following to-be-modified QoS parameters: ARP, GFBR, MFBR, AW, MDBV, dynamic 5QI, priority level, and MinBR. The QoS flow to DRB remapping strategy includes at least one of the following: identification of a to-be-remapped QoS flow, source DRB identification, and remapped target DRB identification.

8. A communication device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the program to implement the steps of the method of any one of claims 1 to 3; or The processor executes the program to implement the steps of the method of claim 4 or 5.

9. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method of any one of claims 1 to 3; Or, the computer program is executed by the processor to implement the steps of the method of claim 4 or 5.

Images