Method, device and equipment for evaluating quality of 5g voice call and storage medium

Abstract

Embodiments of the present application relate to the technical field of 5G voice communication, and disclose a 5G voice call quality evaluation method, device, equipment and storage medium, which comprises the following steps: when a PDU session establishment request initiated by a UE is received under a 5G network, triggering an EPS Fallback signaling process based on a switching mode; when the EPS Fallback signaling process based on the switching mode is executed, counting a first number of times that a first preset message is sent from an AMF to a PGW-C+SMF and a second number of times that a second preset message is sent from an SGW to the PGW-C+SMF; calculating a fallback success rate of the EPS Fallback according to the first number of times and the second number of times; and evaluating the quality of a current voice call according to the fallback success rate. The present application calculates the fallback success rate, and uses the fallback success rate as an index for evaluating the quality of 5G voice communication.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of 5G voice communication technology, specifically to a 5G voice call quality assessment method, apparatus, device, and storage medium. Background Technology

[0002] 5G networks have been deployed on a large scale and officially commercialized in many countries around the world. In addition to providing data services with higher speeds and lower latency than in the 4G era, voice services remain one of the essential services for operators in the 5G era.

[0003] Currently, 3GPP has clearly stated that voice services will still be provided based on IMS in the 5G era. Considering that the current deployment of mobile communication networks will be in a stage of coexistence of 4G and 5G networks and transition from 4G to 5G for a considerable period of time, 3GPP has proposed a variety of voice solutions for the 5G era. Taking into account multiple factors such as terminal requirements, user experience, and network coverage, EPS Fallback has gained strong support from many operators and equipment manufacturers due to its advantages, becoming a 5G voice technology solution that has been actually deployed and put into use in the early and mid-stages of 5G network construction. EPS Fallback is suitable for the early and mid-stages of 5G network construction, when 5G NR is only covering hotspot areas, 5G networks do not yet support IMS voice services, or in scenarios where the discontinuity of 5G network coverage leads to frequent switching between 4G and 5G, thus affecting user experience. It does not have additional requirements such as dual connectivity for terminals; only overlapping 4G and 5G coverage is required, making it easier to quickly promote and deploy applications.

[0004] However, since 5G networks are in the early stages of construction, 3GPP and industry professionals are currently focusing more on end-to-end process optimization for 5G voice services. Their research on performance statistics is insufficient to meet the daily operation and maintenance requirements of rapidly deployed 5G networks and cannot provide good assistance for daily operation and maintenance. Summary of the Invention

[0005] In view of the above problems, embodiments of the present invention provide a method, apparatus, device and storage medium for evaluating the quality of 5G voice calls, which can solve the problem of being unable to effectively evaluate the general quality of 5G voice calls.

[0006] According to one aspect of the present invention, a method for evaluating the quality of 5G voice calls is provided. The method includes: when a UE initiates a PDU session establishment request under a 5G network, triggering an EPS Fallback signaling procedure based on a handover mode; during the execution of the EPS Fallback signaling procedure based on the handover mode, counting the first number of times the AMF sends a first preset message to the PGW-C+SMF, and the second number of times the SGW sends a second preset message to the PGW-C+SMF; calculating the EPS Fallback success rate based on the first and second counts; and evaluating the quality of the current voice call based on the fallback success rate.

[0007] In one optional approach, the fallback success rate of EPS Fallback is calculated based on the first count and the second count, including: taking the first count as the number of successful EPS fallbacks and the second count as the number of EPS fallback requests, and calculating the fallback success rate of EPS Fallback: fallback success rate = (number of successful EPS fallbacks / number of EPS fallback requests) * 100%.

[0008] In one optional approach, when a UE-initiated PDU session establishment request is received under a 5G network, an EPS Fallback signaling procedure based on handover mode is triggered, including: under a 5G network, receiving UE-initiated 5G network registration and IMS registration; receiving a UE-initiated voice session request and sending the voice session request to NG-RAN to establish a QoS Flow; obtaining NG-RAN configuration information and querying UE capabilities, and combining NG-RAN configuration information, UE capabilities, AMF identification information, network configuration information, and radio resource information to confirm whether to trigger the EPS Fallback signaling procedure; if yes, then triggering the EPS Fallback signaling procedure based on handover mode; if no, then ceasing to respond to the voice session request.

[0009] In one alternative approach, the fallback success rate is calculated based on the SMF network element or based on 5G TA.

[0010] In one optional approach, when the fallback success rate is calculated based on the SMF network element, during the execution of the EPS Fallback signaling procedure based on the handover method, the first number of times the AMF sends the first preset message to the PGW-C+SMF and the second number of times the SGW sends the second preset message to the PGW-C+SMF are counted. This includes: during the execution of the EPS Fallback signaling procedure, when the NG-RAN sends the first preset message to the PGW-C+SMF through the AMF, and the APN / DNN is IMS and the first preset message includes a preset reason value, one request is accumulated to obtain the first count; after performing the operation of switching the UE's network from 5GS to the EPS scenario, when the SGW sends the second preset message to the PGW-C+SMF and detects that the APN / DNN is IMS, one success is accumulated to obtain the second count.

[0011] In one optional approach, when the fallback success rate is calculated based on 5G TA, during the execution of the EPS Fallback signaling procedure based on the handover method, the following counts are recorded: the first number of times the AMF sends a first preset message to the PGW-C+SMF, and the second number of times the SGW sends a second preset message to the PGW-C+SMF. This includes: during the execution of the EPS Fallback signaling procedure, the NG-RAN sends a third preset message to the AMF, which includes N2 SM information and User location Information; the AMF transparently transmits the User location Information to the PGW-C+SMF, and the number of requests is accumulated to obtain the first count; after successfully performing the operation of switching the UE's network from 5GS to EPS, the UE 5G TA field information from the pre-obtained UEContext is sent to the SGW; the UE 5G TA field information is inserted into the second preset message sent by the SGW to the PGW-C+SMF; when the PGW-C+SMF extracts the UE 5G TA field information from the second preset message and detects that the APN / DNN is IMS, the number of successful transactions is accumulated to obtain the second count.

[0012] In one alternative approach, the quality of the current voice call is evaluated based on the fallback success rate, including: confirming that the quality of the current voice call is high when the fallback success rate is higher than a preset success rate threshold; and confirming that the quality of the current voice call is low when the fallback success rate is lower than the preset success rate threshold.

[0013] According to another aspect of the present invention, a 5G voice call quality assessment device based on handover mode is provided, comprising: a triggering module, configured to trigger an EPS Fallback signaling process based on handover mode when a UE initiates a PDU session establishment request under a 5G network; a statistics module, configured to count the first number of times the AMF sends a first preset message to the PGW-C+SMF and the second number of times the SGW sends a second preset message to the PGW-C+SMF during the execution of the EPS Fallback signaling process based on handover mode; a calculation module, configured to calculate the fallback success rate of EPS Fallback based on the first and second counts; and an evaluation module, configured to evaluate the quality of the current voice call based on the fallback success rate.

[0014] According to another aspect of the present invention, a 5G voice call quality assessment device is provided, comprising: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other through the communication bus; the memory is used to store at least one executable instruction, which causes the processor to perform the operation of the 5G voice call quality assessment method as described above.

[0015] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein at least one executable instruction is stored in the storage medium, and the executable instruction, when executed on a 5G voice call quality assessment device / apparatus, causes the 5G voice call quality assessment device / apparatus to perform the operation of the 5G voice call quality assessment method as described above.

[0016] This invention uses the EPS Fallback success rate as a quality evaluation standard for 5G voice calls. When a terminal makes a 5G voice call, the number of fallback requests and the number of successful fallback requests are counted in the EPS Fallback signaling process based on the handover method. The fallback success rate is then calculated based on these counts. Combining the fallback success rate with the analysis of 5G voice call quality effectively assists daily maintenance personnel in evaluating the performance of 5G voice calls, enabling R&D personnel to make targeted improvements.

[0017] The above description is merely an overview of the technical solutions of the embodiments of the present invention. In order to better understand the technical means of the embodiments of the present invention and to implement them in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the embodiments of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0018] The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0019] Figure 1 A flowchart illustrating the 5G voice call quality assessment method provided in an embodiment of the present invention is shown.

[0020] Figure 2 A flowchart of an existing EPS fallback scheme provided by an embodiment of the present invention is shown;

[0021] Figure 3 The diagram shows the EPS Fallback signaling flowchart under the IRAT handover mode provided in this embodiment of the invention.

[0022] Figure 4 This diagram illustrates the structure of the 5G voice call quality assessment device provided in an embodiment of the present invention.

[0023] Figure 5 A schematic diagram of the structure of the 5G voice call quality assessment device provided in an embodiment of the present invention is shown. Detailed Implementation

[0024] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0025] Figure 1 A flowchart of a first embodiment of the 5G voice call quality assessment method of the present invention is shown. This method is executed by a 5G voice call quality assessment device. Figure 1 As shown, the method includes the following steps:

[0026] Step 101: When a request to establish a PDU session is received from a UE under the 5G network, the EPS Fallback signaling process based on the handover method is triggered.

[0027] It should be noted that UE refers to the user terminal equipment. For 5G terminals, after powering on, they undergo attachment and registration processes, and enter the idle state after registering with IMS. Subsequently, the calling / called party (voice service) of the idle terminal sends an invite signaling to IMS through the SR (Scheduling Request) process and PDU session (Protocol data unit; session) reconstruction. After the invite signaling reaches IMS, IMS instructs the core network (5G), which in turn requests the base station (5G) to establish a bearer (establish a QoS flow). The base station (5G) determines whether to use VoNR or trigger EPS fallback to implement the voice service based on UE capabilities, AMF (Access and Mobility Management Function) instructions, network configuration (whether there is a network interface between the 5G and 4G networks), and radio conditions (radio environment information). Therefore, step 101 specifically includes:

[0028] 1. Under the 5G network, receive 5G network registration and IMS registration initiated by the UE;

[0029] 2. Receive the voice session request initiated by the UE and send the voice session request to the NG-RAN to establish a QoSFlow;

[0030] 3. Obtain the NG-RAN configuration information and query the UE capabilities. Combine the NG-RAN configuration information, UE capabilities, AMF identification information, network configuration information, and radio resource information to confirm whether the EPS Fallback signaling procedure has been triggered.

[0031] 4. If so, trigger the EPS Fallback signaling process based on the switching method;

[0032] 5. If not, stop responding to voice session requests.

[0033] For details regarding the above content in this embodiment, please refer to [link / reference]. Figure 2 The flowchart shown is for an existing EPS fallback scheme, where NG RAN is the (5G) radio access network, E-UTRAN is the mobile communication radio network, AMF is the access and mobility management function, MME is the mobility management entity, SGW is the serving gateway, PGW is the packet data gateway, SMF is the session management function, UPF is the user plane function, and IMS is the IP multimedia subsystem.

[0034] It should be understood that in this embodiment, the 5G voice call quality assessment method is implemented based on the EPSFallback signaling process of the handover mode. When the UE initiates a session request, only the EPS fallback is triggered to realize the voice service.

[0035] Step 102: When executing the EPS Fallback signaling process based on the handover method, count the first number of times the AMF sends the first preset message to the PGW-C+SMF, and the second number of times the SGW sends the second preset message to the PGW-C+SMF.

[0036] In this embodiment, the fallback success rate of EPS is used to evaluate the quality of 5G voice calls. The fallback success rate is calculated based on two metrics: the number of fallback requests and the number of successful fallbacks. These two metrics can be statistically analyzed on multiple network elements such as gNodeB, eNodeB, AMF, MME, SGW, or PGW-C+SMF (converged network element). However, since the network and corresponding network elements carried by the terminal change before and after the fallback, while the PGW-C+SMF as the session anchor point remains unchanged, this embodiment believes that a reasonable and feasible definition of the EPS fallback success rate should be based on PGW-C+SMF. That is, the parameters of these two metrics should be statistically analyzed on the PGW-C+SMF. For details, please refer to [link to relevant documentation]. Figure 2 When executing the EPS Fallback signaling process, the first number of times the AMF sends the first preset message to the PGW-C+SMF is the number of fallback requests, and the second number of times the SGW sends the second preset message to the PGW-C+SMF is the number of successful fallbacks.

[0037] It should be noted that, in this embodiment, unless otherwise specified, PGW-C+SMF and SMF have the same meaning, both representing a 4 / 5G converged network element that simultaneously provides 4G PGW-C functionality and 5G SMF functionality.

[0038] Furthermore, the statistics on EPS Fallback success rate can be further divided into two categories: EPS Fallback success rate based on SMF network elements and EPS Fallback success rate based on 5G TA.

[0039] Specifically, when the fallback success rate is calculated based on SMF network elements, step 102 includes:

[0040] 1. When executing the EPS Fallback signaling procedure, when NG-RAN sends the first preset message to PGW-C+SMF through AMF, and the APN / DNN is IMS and the first preset message includes a preset reason value, the number of requests is accumulated to obtain the first count;

[0041] Specifically, please refer to the following: Figure 3 The diagram shown illustrates the EPS Fallback signaling flow under IRAT handover mode. In this case, the number of fallback requests is [number missing]. Figure 3 As shown in 4.1 and 4.2, NG-RAN performs point statistics when it transparently transmits the Nsmf_PDUSession_UpdateSMContext request to PGW-C+SMF via AMF. When NG-RAN receives... Figure 3 When establishing an IMS voice QoS flow using the PDUSESSION RESOURCE MODIFY REQUEST message shown in Figure 2.3, because NG-RAN cannot support IMS voice services, NG-RAN will initiate... Figure 3 As shown in Figure 5, during the EPS FALLBACK or RAT FB for IMS voice process, NG-RAN, in its response to PGW-C+SMF's PDU Session Resource Modify Response TransferIE or PDU Session Resource Modify Unsuccessful Transfer IE, carries the reason value "IMS voiceEPS Fallback or RAT fallback triggered" to inform the core network that the EPS / RAT fallback triggered by the IMS voice service is in progress. Therefore, when PGW-C+SMF receives the Nsmf_PDUSession_UpdateSMContext request sent by NG-RAN through AMF, if the reason value is "IMS Voice EPS Fallback or RAT FallbackTriggered", it is counted as one EPS FALLBACK fallback request.

[0042] 2. After performing the operation of switching the UE's network from 5GS to EPS scenario, the SGW sends a second preset message to the PGW-C+SMF. When the APN / DNN is detected as IMS, the number of successful attempts is accumulated to obtain the second count.

[0043] Specifically, NG-RAN in Figure 3 As shown in Figure 4, after informing the core network that the IMS voice service has triggered the EPS FALLBACK process, the EPS FALLBACK for switching modes is initiated. Figure 3 In the process, the relevant steps for switching are 5.1 to 5.17, totaling 17 steps, described in detail below:

[0044] 5.1. NG-RAN initiates a handover request to AMF;

[0045] 5.2. The AMF notifies the PGW-C+SMF of the handover message via the Nsmf_PDUSession_UpdateSMContext request message;

[0046] 5.3. The AMF sends a relocation request to the MME;

[0047] 5.4. The MME sends a session creation request message to the SGW;

[0048] 5.5. The SGW sends a session creation reply message to the MME;

[0049] 5.6. The MME sends a handover request to the E-UTRAN;

[0050] 5.7. The E-UTRAN replies to the handover request confirmation message with the MME;

[0051] 5.8. Establish an indirect data forwarding channel between the MME and SGW;

[0052] 5.9. The MME informs the AMF of the handover result;

[0053] 5.10. The AMF informs the PGW-C+SMF to update the UEPDU session information by calling the Nsmf_PDUSession_ContextRequest service;

[0054] 5.11. The AMF notifies the NG-RAN and UE that the handover was successful;

[0055] 5.12. The steps are as follows:

[0056] a) The UE informs the E-UTRAN that the handover is complete;

[0057] b) E-UTRAN notifies the MME that the handover is complete;

[0058] c) The MME notifies the AMF that the relocation is complete;

[0059] d) The AMF replies to the MME with a confirmation message that the relocation is complete;

[0060] 5.13. The MME sends a Modify Bearer request to the SGW;

[0061] 5.14. SGW sends a Modify Bearer request to PGW-C+SMF;

[0062] 5.15. PGW-C+SMF and PGW-U+UPF communicate via signaling to modify the N4 session;

[0063] 5.16. PGW-C+SMF replies to the Modify Bearer Response message with the SGW;

[0064] 5.17. SGW sends a Modify Bearer Response message to MME.

[0065] Specifically, the number of successful EPS fallbacks on SMF is... Figure 3 As shown in Figure 5.14, point statistics are then performed, as described above. Figure 3 As shown in Figure 5.12, the UE has completed the handover from 5GS to EPS, meaning that the EPS fallback using the handover method has been successful. Figure 3 Figures 5.13 and 5.14 show the MME further informing the SGW and PGW-C+SMF of the event outcome. Figure 3 As shown in Figure 5.14, the SGW sends a Modify Bearer Request to the PGW-C+SMF. The Modify Bearer Request may contain the following information fields:

[0066] 1.Serving GW addresses for user plane and TEID(s);

[0067] 2. Serving Network;

[0068] 3.PDN Charging Pause Support Indication;

[0069] 4. Secondary RAT usage data;

[0070] 5.User Location Information.

[0071] The SGW sends Modify Bearer Requests to the PGW-C+SMF under various circumstances. However, this embodiment only needs to count the Modify Bearer Requests generated by EPS fallbacks triggered by IMS voice services. Therefore, when calculating the number of successful EPS fallbacks on the SMF, the PGW-C+SMF needs to make a judgment. Figure 3 As shown in Figure 5.14, a success is only counted when the Modify Bearer Request message sent by the SGW corresponds to the modified APN being IMS.

[0072] Furthermore, it should be noted that an SMF typically interfaces with multiple base stations, and each base station is further divided into multiple TAs (Tracking Areas). Therefore, in some embodiments, the EPS Fallback success rate based on 5G TA provides a more granular monitoring of performance, which can help network maintenance personnel quickly locate TA-level problems, facilitate timely discovery of network vulnerabilities by local maintenance personnel, and assist in problem troubleshooting and performance evaluation. Specifically, in existing solutions, the EPS fallback success rate based on 5G TA cannot be statistically analyzed because the UE reports TA information as 4G TA after falling back to the EPS network. However, the 4G TA and 5G TA deployed in the current network are not consistent, so the measurement objects before and after the UE fallback are inconsistent, making this performance indicator unachievable. Therefore, regarding the above text, in some embodiments, when the fallback success rate is calculated based on 5G TA, step 102 specifically includes:

[0073] 1. When executing the EPS Fallback signaling procedure, NG-RAN sends a third preset message to AMF. The third preset message includes N2 SM information and Userlocation Information.

[0074] 2. Use AMF to pass-through User location information to PGW-C+SMF, and accumulate the number of requests to obtain the first count;

[0075] 3. After successfully switching the UE's network from 5GS to EPS, send the UE 5GTA field information from the pre-obtained UEContext to the SGW;

[0076] 4. Insert the UE 5GTA field information into the second preset message sent by the SGW to the PGW-C+SMF. When the PGW-C+SMF extracts the UE 5GTA field information from the second preset message and detects that the APN / DNN is IMS, the number of successful attempts is accumulated, and the second count is obtained.

[0077] Specifically, regarding the number of fallback requests, since the PGW-C+SMF itself is not responsible for mobility management and does not have UE TA information, this can be addressed by the AMF transparently transmitting UE TA information to the PGW-C+SMF. The specific implementation is described below: Figure 3As shown in Figure 4.1, the N2 Message sent by NG-RAN to AMF includes two parts: N2 SMinformation (List of accepted / rejected QFI(s), AN Tunnel Info, PDU Session ID, Secondary RAT usage data) and User location Information; among them, User location Information may contain NR user location information, of which the required options are NR CGI and TAI. AMF only needs to... Figure 3 As shown in Figure 4.2, the User location Information IE can be passed through to PGW-C+SMF.

[0078] Regarding the number of successful pullbacks, such as Figure 3 As shown in Figure 5.14, the SGW sends a Modify Bearer request to the PGW-C+SMF. The fifth field is User Location Information (ULI). Since the UE accesses the network from E-UTRAN, the ULI field only carries E-UTRA user location information, including E-UTRA CGI and 4G TAI. According to the network deployment of EPS Fallback, the UE is actually in the same geographical location before and after the fallback; only the 4G / 5G systems have different TA plans. To achieve unified measurement of EPS Fallback success rate performance statistics with 5G TA as the measurement object, this embodiment further modifies and requires the field information carried in the corresponding steps, so that the PGW-C+SMF can still obtain the 5G TA information before the fallback after the UE falls back to E-UTRAN, thereby realizing the calculation of EPS Fallback success count based on TA statistical granularity. The specific implementation method is as follows:

[0079] 1.Reference Figure 3 As shown in Figure 5.12c, when the MME sends the Relocation Complete Notification to the AMF, the AMF still stores the UE-related 5GMM Context, which includes 5G TAI information, which can be obtained from the TAI oflast Registration field of the UE Context.

[0080] 2.Reference Figure 3As shown in Figure 5.12d, when the AMF sends a Relocation Complete Ack to the MME, the content of the sent information is increased. In addition to the original fields, the AMF is required to send the UE 5G TA field stored in the UE Context to the MME at the same time.

[0081] 3.Reference Figure 3 As shown in Figure 5.13, when the MME sends a Modify Bearer Request, it processes the ULI, further modifying the original ULI content. Figure 3 As shown in Figure 5.12d, the UE 5GTA information provided by the AMF is written into the TAI field of the NG-RAN userlocation information of the ULI, and then sent to the SGW;

[0082] 4.Reference Figure 3 As shown in Figure 5.14, when the SGW sends a Modify Bearer Request to the PGW-C+SMF, due to... Figure 3 As shown in Figure 5.13, the ULI field in the Modify Bearer Request message already contains the 5G TA information of the UE before fallback, and the SGW only transmits it transparently. Therefore, the PGW-C+SMF can directly obtain the 5G TA information of the UE before fallback from the Modify Bearer Request message.

[0083] By modifying the fields carried in the above-mentioned processes, when PGW-C+SMF needs to perform EPS fallback success count statistics at the 5G TA granularity, it only needs to... Figure 3 As shown in Figure 5.14, when the Modify Bearer request corresponding to the IMS APN sent by the SGW is received, the 5G TA in the ULI can be used as the measurement object for point calculation, thereby obtaining the number of successful fallbacks.

[0084] Step 103: Calculate the EPSFallback success rate based on the first and second counts.

[0085] Furthermore, step 103 specifically includes:

[0086] The first count represents the number of successful EPS fallbacks, and the second count represents the number of EPS fallback requests. The fallback success rate is calculated as follows: Fallback success rate = (Number of successful EPS fallbacks / Number of EPS fallback requests) * 100%.

[0087] Step 104: Evaluate the quality of the current voice call based on the fallback success rate.

[0088] In step 104, after obtaining the fallback success rate, the quality of currently occurring voice calls under the 5G network is assessed based on this fallback success rate. In some embodiments, step 103 specifically includes:

[0089] 1. When the fallback success rate is higher than the preset success rate threshold, the quality of the current voice call is confirmed to be high;

[0090] 2. When the fallback success rate is lower than the preset success rate threshold, the quality of the current voice call is confirmed to be low.

[0091] Specifically, the preset success rate threshold is set by the R&D personnel after conducting extensive data experiments.

[0092] This invention uses the EPS Fallback success rate as a quality evaluation standard for 5G voice calls. When a terminal makes a 5G voice call, the number of fallback requests and the number of successful fallback requests are counted in the EPS Fallback signaling process based on the handover method. The fallback success rate is then calculated based on these counts. Combining the fallback success rate with the analysis of 5G voice call quality effectively assists daily maintenance personnel in evaluating the performance of 5G voice calls, enabling R&D personnel to make targeted improvements.

[0093] Figure 4 A schematic diagram of an embodiment of the 5G voice call quality assessment device of the present invention is shown. Figure 4 As shown, the device 400 includes: a trigger module 401, a statistics module 402, a calculation module 403, and an evaluation module 404.

[0094] Trigger module 401 is used to trigger EPS Fallback signaling process based on handover mode when it receives a PDU session establishment request initiated by UE under 5G network;

[0095] The statistics module 402 is used to count the first number of times the AMF sends the first preset message to the PGW-C+SMF and the second number of times the SGW sends the second preset message to the PGW-C+SMF when executing the EPS Fallback signaling process based on the handover method.

[0096] Calculation module 403 is used to calculate the fallback success rate of EPSFallback based on the first count and the second count;

[0097] Evaluation module 404 is used to evaluate the quality of the current voice call based on the fallback success rate.

[0098] In one alternative approach, the calculation module 403 calculates the EPS Fallback success rate based on the first count and the second count as follows: taking the first count as the number of successful EPS fallbacks and the second count as the number of EPS fallback requests, the EPS Fallback success rate is calculated as follows: Fallback success rate = (number of successful EPS fallbacks / number of EPS fallback requests) * 100%.

[0099] In one optional approach, when the triggering module 401 receives a PDU session establishment request initiated by the UE under the 5G network, the specific operation of triggering the EPS Fallback signaling procedure based on the handover method is as follows: under the 5G network, receive the 5G network registration and IMS registration initiated by the UE; receive the voice session request initiated by the UE and send the voice session request to NG-RAN to establish QoS Flow; obtain the configuration information of NG-RAN and query the UE capabilities, and combine the NG-RAN configuration information, UE capabilities, AMF identification information, network configuration information and radio resource information to confirm whether to trigger the EPS Fallback signaling procedure; if yes, then trigger the EPS Fallback signaling procedure based on the handover method; if no, then stop responding to the voice session request.

[0100] In one alternative approach, the fallback success rate is calculated based on the SMF network element or based on 5G TA.

[0101] In one optional approach, when the fallback success rate is calculated based on the SMF network element, the statistics module 402, when executing the EPS Fallback signaling procedure based on the handover method, specifically counts the first number of times the AMF sends the first preset message to the PGW-C+SMF and the second number of times the SGW sends the second preset message to the PGW-C+SMF. Specifically, when executing the EPS Fallback signaling procedure, if the NG-RAN sends the first preset message to the PGW-C+SMF through the AMF, and the APN / DNN is IMS and the first preset message includes a preset reason value, one request is accumulated to obtain the first count. After performing the operation of switching the UE's network from 5GS to the EPS scenario, if the SGW sends the second preset message to the PGW-C+SMF and detects that the APN / DNN is IMS, one success is accumulated to obtain the second count.

[0102] In one optional approach, when the fallback success rate is calculated based on the 5G TA, the statistics module 402, when executing the EPS Fallback signaling procedure based on the handover method, specifically counts the first number of times the AMF sends the first preset message to the PGW-C+SMF and the second number of times the SGW sends the second preset message to the PGW-C+SMF. Specifically, during the EPS Fallback signaling procedure, the NG-RAN sends a third preset message to the AMF, which includes N2 SMinformation and User location Information; the AMF transparently transmits the User location Information to the PGW-C+SMF, and accumulates one request count to obtain the first count; after successfully switching the UE's network from 5GS to EPS, the UE 5G TA field information from the pre-obtained UE Context is sent to the SGW; the UE 5G TA field information is inserted into the second preset message sent by the SGW to the PGW-C+SMF, and when the PGW-C+SMF extracts the UE 5G TA field information from the second preset message... The TA field information, and when the detection APN / DNN is IMS, is used to accumulate the number of successful attempts and obtain the second count.

[0103] In one alternative approach, the evaluation module 404 evaluates the quality of the current voice call based on the fallback success rate as follows: when the fallback success rate is higher than a preset success rate threshold, the quality of the current voice call is confirmed to be high; when the fallback success rate is lower than the preset success rate threshold, the quality of the current voice call is confirmed to be low.

[0104] Figure 5 The diagram shows a structural schematic of an embodiment of the 5G voice call quality assessment device of the present invention. The specific embodiments of the present invention do not limit the specific implementation of the 5G voice call quality assessment device.

[0105] like Figure 5 As shown, the 5G voice call quality assessment device may include: a processor 502, a communications interface 504, a memory 506, and a communication bus 508.

[0106] The processor 502, communication interface 504, and memory 506 communicate with each other via communication bus 508. Communication interface 504 is used to communicate with other network elements such as UEs or other servers. The processor 502 executes program 510, specifically performing the relevant steps described in the embodiment of the 5G voice call quality assessment method.

[0107] Specifically, program 510 may include program code, which includes computer-executable instructions.

[0108] Processor 502 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The 5G voice call quality assessment device includes one or more processors, which may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0109] Memory 506 is used to store program 510. Memory 506 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0110] Specifically, program 510 can be called by processor 502 to enable the 5G voice call quality assessment device to perform the following operations:

[0111] When a UE initiates a PDU session establishment request under a 5G network, an EPSFallback signaling procedure based on the handover method is triggered.

[0112] When executing the EPS Fallback signaling process based on the handover method, the first number of times the AMF sends the first preset message to the PGW-C+SMF and the second number of times the SGW sends the second preset message to the PGW-C+SMF are counted.

[0113] The success rate of EPSFallback is calculated based on the first and second counts.

[0114] The quality of the current voice call is evaluated based on the fallback success rate.

[0115] This invention uses the EPS Fallback success rate as a quality evaluation standard for 5G voice calls. When a terminal makes a 5G voice call, the number of fallback requests and the number of successful fallback requests are counted in the EPS Fallback signaling process based on the handover method. The fallback success rate is then calculated based on these counts. Combining the fallback success rate with the analysis of 5G voice call quality effectively assists daily maintenance personnel in evaluating the performance of 5G voice calls, enabling R&D personnel to make targeted improvements.

[0116] This invention provides a computer-readable storage medium storing at least one executable instruction that, when executed on a 5G voice call quality assessment device / app, causes the 5G voice call quality assessment device / app to perform the 5G voice call quality assessment method in any of the above method embodiments.

[0117] Specifically, the executable instructions can be used to cause the 5G voice call quality assessment device / app to perform the following operations:

[0118] When a UE initiates a PDU session establishment request under a 5G network, an EPSFallback signaling procedure based on the handover method is triggered.

[0119] When executing the EPS Fallback signaling process based on the handover method, the first number of times the AMF sends the first preset message to the PGW-C+SMF and the second number of times the SGW sends the second preset message to the PGW-C+SMF are counted.

[0120] The success rate of EPSFallback is calculated based on the first and second counts.

[0121] The quality of the current voice call is evaluated based on the fallback success rate.

[0122] This invention uses the EPS Fallback success rate as a quality evaluation standard for 5G voice calls. When a terminal makes a 5G voice call, the number of fallback requests and the number of successful fallback requests are counted in the EPS Fallback signaling process based on the handover method. The fallback success rate is then calculated based on these counts. Combining the fallback success rate with the analysis of 5G voice call quality effectively assists daily maintenance personnel in evaluating the performance of 5G voice calls, enabling R&D personnel to make targeted improvements.

[0123] The algorithms or displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings herein. The required structure for constructing such systems is apparent from the above description. Furthermore, the embodiments of the present invention are not directed to any particular programming language. It should be understood that the content of the invention described herein can be implemented using various programming languages, and the above description of specific languages ​​is for the purpose of disclosing the best mode of implementation of the invention.

[0124] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0125] Similarly, it should be understood that, in order to simplify the invention and aid in understanding one or more of the various inventive aspects, features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof in the above description of exemplary embodiments of the invention. However, this disclosure should not be construed as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as reflected in the following claims, inventive aspects lie in fewer than all features of a single foregoing disclosed embodiment. Therefore, the claims following the detailed description are hereby expressly incorporated into this detailed description, wherein each claim itself is a separate embodiment of the invention.

[0126] Those skilled in the art will understand that modules in the device of the embodiments can be adaptively changed and placed in one or more devices different from that embodiment. Modules, units, or components in the embodiments can be combined into a single module, unit, or component, and further, they can be divided into multiple sub-modules, sub-units, or sub-components. Except where at least some of such features and / or processes or units are mutually exclusive, any combination can be used to combine all features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all processes or units of any method or device so disclosed. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature that serves the same, equivalent, or similar purpose.

[0127] Furthermore, those skilled in the art will understand that although some embodiments herein include certain features included in other embodiments but not others, combinations of features from different embodiments are intended to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.

[0128] It should be noted that the above embodiments are illustrative of the invention and not restrictive, and that those skilled in the art can devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names. The steps in the above embodiments, unless otherwise specified, should not be construed as limiting the order of execution.

Claims

1. A method for evaluating the quality of 5G voice calls, characterized in that, It includes: When a UE initiates a PDU session establishment request under a 5G network, an EPS Fallback signaling procedure based on the handover method is triggered. When executing the EPS Fallback signaling process based on the handover method, the first number of times the AMF sends the first preset message to the PGW-C+SMF and the second number of times the SGW sends the second preset message to the PGW-C+SMF are counted. The EPS Fallback success rate is calculated based on the first and second counts. The quality of the current voice call is evaluated based on the fallback success rate.

2. The 5G voice call quality assessment method according to claim 1, characterized in that, The calculation of the EPS Fallback success rate based on the first count and the second count includes: The EPS fallback success rate is calculated by taking the first number as the number of EPS fallback requests and the second number as the number of EPS fallback successes. The fallback success rate is calculated as (number of successful EPS fallbacks / number of EPS fallback requests) * 100%.

3. The 5G voice call quality assessment method according to claim 1, characterized in that, When a UE initiates a PDU session establishment request under a 5G network, an EPS Fallback signaling procedure based on the handover mode is triggered, including: Under the 5G network, the 5G network registration and IMS registration initiated by the UE are received; Receive the voice session request initiated by the UE and send the voice session request to NG-RAN to establish QoSFlow; Obtain the NG-RAN configuration information and query the UE capabilities. Combine the NG-RAN configuration information, the UE capabilities, the AMF identification information, the network configuration information, and the radio resource information to determine whether to trigger the EPS Fallback signaling procedure. If so, the EPS Fallback signaling process based on the handover method is triggered; If not, then stop responding to the voice session request.

4. The 5G voice call quality assessment method according to claim 1, characterized in that, The fallback success rate is calculated based on SMF network elements or 5GTA.

5. The 5G voice call quality assessment method according to claim 4, characterized in that, When the fallback success rate is calculated based on the SMF network element, the step of counting the first number of times the AMF sends a first preset message to the PGW-C+SMF and the second number of times the SGW sends a second preset message to the PGW-C+SMF during the execution of the EPS Fallback signaling process based on the handover mode includes: When executing the EPS Fallback signaling procedure, when NG-RAN sends the first preset message to PGW-C+SMF through AMF, and APN / DNN is IMS and the first preset message includes a preset reason value, the number of requests is accumulated to obtain the first number; After performing the operation of switching the UE's network from 5GS to EPS scenario, the SGW sends the second preset message to the PGW-C+SMF, and when the APN / DNN is detected as IMS, the number of successful attempts is accumulated to obtain the second count.

6. The 5G voice call quality assessment method according to claim 4, characterized in that, When the fallback success rate is calculated based on 5GTA, during the execution of the EPS Fallback signaling process based on the handover mode, the following counts are made: the first number of times the AMF sends a first preset message to the PGW-C+SMF, and the second number of times the SGW sends a second preset message to the PGW-C+SMF, including: When executing the EPS Fallback signaling procedure, NG-RAN sends a third preset message to the AMF, which includes N2 SM information and Userlocation Information; The User location Information is transparently transmitted to the PGW-C+SMF using the AMF, and the number of requests is accumulated to obtain the first number; After successfully switching the UE's network from 5GS to EPS, the UE5GTA field information in the pre-acquired UEContext is sent to the SGW; The UE 5GTA field information is inserted into the second preset message sent by the SGW to the PGW-C+SMF. When the PGW-C+SMF extracts the UE 5GTA field information from the second preset message and detects that the APN / DNN is IMS, the number of successful attempts is accumulated to obtain the second number.

7. The 5G voice call quality assessment method according to claim 1, characterized in that, The evaluation of the quality of the current voice call based on the fallback success rate includes: When the fallback success rate is higher than the preset success rate threshold, the quality of the current voice call is confirmed to be high. When the fallback success rate is lower than a preset success rate threshold, the quality of the current voice call is confirmed to be low.

8. A 5G voice call quality assessment device, characterized in that, It includes: The triggering module is used to trigger the EPS Fallback signaling process based on the handover method when a UE initiates a PDU session establishment request under the 5G network. The statistics module is used to count the first number of times the AMF sends a first preset message to the PGW-C+SMF and the second number of times the SGW sends a second preset message to the PGW-C+SMF when executing the EPS Fallback signaling process based on the handover method. The calculation module is used to calculate the fallback success rate of the EPS Fallback based on the first number of times and the second number of times. An evaluation module is used to evaluate the quality of the current voice call based on the fallback success rate.

9. A 5G voice call quality assessment device, characterized in that, include: The processor, memory, communication interface, and communication bus are provided, wherein the processor, memory, and communication interface communicate with each other via the communication bus. The memory is used to store at least one executable instruction that causes the processor to perform the operation of the 5G voice call quality assessment method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The storage medium stores at least one executable instruction, which, when executed on the 5G voice call quality assessment device / apparatus, causes the 5G voice call quality assessment device / apparatus to perform the operation of the 5G voice call quality assessment method as described in any one of claims 1-7.

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