Communication network exception analysis method and device based on 5g voice fallback delay
Patent Information
- Application Number
- CN202210633684.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-06-07
- Publication Date
- 2026-11-03
- Estimated Expiration
- 2042-06-07
AI Technical Summary
Existing technologies are inefficient at determining latency during 5G voice fallback and cannot fully detect anomalies, making network anomaly analysis time-consuming and labor-intensive.
By acquiring the interactive signaling data during the 5G voice fallback interaction phase, and based on the call time and communication number, the 5G voice session is divided into segmented fallback phases such as handover measurement, handover preparation, handover execution, tracking area update, and dedicated bearer establishment. The latency of each phase is determined by using the acquisition interface type and signaling type of the signaling data.
It improves the accuracy and efficiency of communication network anomaly analysis, enabling more accurate identification of network anomalies and reducing the consumption of manpower and resources.
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Figure CN117241309B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of communication technology, and in particular to a method and apparatus for analyzing communication network anomalies based on 5G voice fallback latency. Background Technology
[0002] With the construction and large-scale commercialization of 5G standalone (SA) networks, EPS fallback (5G network-side voice fallback) is currently used to provide voice services for users on 5G SA networks. Compared with the original VoLTE, EPS fallback voice calls add a voice fallback phase, significantly increasing voice call latency and posing a huge challenge to user experience assurance. How to determine whether the communication network is abnormal based on EPS fallback voice latency in order to optimize the network is a key focus of current 5G work.
[0003] Current EPS fallback voice latency is mainly obtained through dial-up testing, but this method may not be able to reproduce latency anomalies, or it may require extensive dial-up testing to identify anomalies. Therefore, network anomaly analysis is time-consuming, labor-intensive, and not comprehensive enough. Summary of the Invention
[0004] The purpose of this application is to provide a communication network anomaly analysis method and apparatus based on 5G voice fallback latency, so as to solve the problem of low efficiency in determining the existence of 5G voice fallback latency in existing methods.
[0005] To solve the above-mentioned technical problems, this specification is implemented as follows:
[0006] Firstly, a method for analyzing communication network anomalies based on 5G voice fallback latency is provided, including:
[0007] Acquire the interaction signaling data collected by the corresponding interface during the 5G voice fallback interaction phase. The interaction signaling data carries the call time and communication number of the 5G voice session.
[0008] Based on the call time and communication number, obtain the associated interactive signaling data corresponding to the same 5G voice session from the interactive signaling data;
[0009] Based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction stage corresponding to the same 5G voice session is divided into at least one segmented fallback stage. The types of the segmented fallback stages include handover measurement stage, handover preparation stage, handover execution stage, tracking area update stage, or dedicated load establishment stage.
[0010] Based on the latency of the target 5G voice session during the target segment fallback phase after segmentation, determine whether the communication network has any anomalies during the target segment fallback phase of the target 5G voice session.
[0011] Optionally, based on the call time and communication number, associated interactive signaling data corresponding to the same 5G voice session is obtained from the interactive signaling data, including:
[0012] Based on the communication number carried in the interactive signaling data, determine the first interactive signaling data corresponding to the same communication number in the interactive signaling data;
[0013] Based on the call time of the 5G voice session carried in the first interactive signaling data, the associated interactive signaling data corresponding to the same 5G voice session in the first interactive signaling data is determined.
[0014] Optionally, based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to the same 5G voice session is divided into at least one segmented fallback phase, including:
[0015] Obtain the first interface type signaling data collected from the signaling plane interface between the 5G base station and the AMF network element from the associated interactive signaling data corresponding to the target 5G voice session;
[0016] Determine the PDU session response signaling and handover request signaling in the first interface type signaling data;
[0017] Using the PDU session response signaling as the starting point of the signaling flow and the handover request signaling as the ending point of the signaling flow, the handover measurement phase of the target 5G voice session in the 5G voice fallback interaction phase is determined.
[0018] Optionally, based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to the same 5G voice session is divided into at least one segmented fallback phase, including:
[0019] Obtain the second interface type signaling data collected from the signaling plane interface between the 5G base station and the AMF network element from the associated interactive signaling data corresponding to the target 5G voice session;
[0020] Obtain the handover request signaling and handover command signaling from the signaling data of the second interface type;
[0021] Using the handover request signaling as the starting point of the signaling flow and the handover command signaling as the ending point of the signaling flow, the handover preparation phase of the target 5G voice session in the 5G voice fallback interaction phase is divided.
[0022] Optionally, based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to the same 5G voice session is divided into at least one segmented fallback phase, including:
[0023] From the associated interactive signaling data corresponding to the target 5G voice session, obtain the third interface type signaling data collected from the signaling plane interface between the 5G base station and the AMF network element, and the signaling plane interface between the AMF network element and the MME network element.
[0024] Obtain the handover command signaling and forward relocation completion notification signaling from the signaling data of the third interface type;
[0025] Using the handover command signaling as the starting point of the signaling flow and the forward relocation completion notification signaling as the ending point of the signaling flow, the handover execution phase of the target 5G voice session in the 5G voice fallback interaction phase is divided.
[0026] Optionally, based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to the same 5G voice session is divided into at least one segmented fallback phase, including:
[0027] From the associated interactive signaling data corresponding to the target 5G voice session, obtain the signaling plane interface between the 4G base station and the MME, and the signaling plane interface between the 4G user equipment and the MME, and collect the fourth interface type signaling data.
[0028] Obtain the tracking area update request signaling and tracking area update accept signaling from the signaling data of the fourth interface type;
[0029] The tracking area update request signaling is used as the starting point of the signaling flow and the tracking area update acceptance signaling is used as the ending point of the signaling flow to divide the tracking area update phase of the target 5G voice session in the 5G voice fallback interaction phase.
[0030] Optionally, based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to the same 5G voice session is divided into at least one segmented fallback phase, including:
[0031] From the associated interactive signaling data corresponding to the target 5G voice session, obtain the fifth interface type signaling data collected from the signaling plane interface between the 4G user equipment and the MME network element;
[0032] Obtain the dedicated bearer activation request signaling and dedicated bearer activation acceptance signaling from the signaling data of the fifth interface type;
[0033] The dedicated bearer activation request signaling is used as the starting point of the signaling flow and the dedicated bearer activation acceptance signaling is used as the ending point of the signaling flow to divide the dedicated bearer establishment phase of the target 5G voice session in the 5G voice fallback interaction phase.
[0034] Optionally, based on the latency of the target 5G voice session during the segmented target fallback phase, determining whether the communication network exhibits anomalies during the segmented fallback phase of the target 5G voice session includes:
[0035] The segmented target fallback phase is the handover measurement phase. If the latency of the handover measurement phase corresponding to the target 5G voice session exceeds a first preset latency, it is determined that the communication network has a wireless anomaly during the handover measurement phase of the target 5G voice session; or
[0036] The segmented target fallback phase is the handover preparation phase. If the latency of the handover preparation phase corresponding to the target 5G voice session exceeds the second preset latency, it is determined that the communication network has a wireless anomaly during the handover preparation phase of the target 5G voice session; or
[0037] The segmented target fallback phase is the handover execution phase. If the latency of the handover execution phase corresponding to the target 5G voice session exceeds a third preset latency, it is determined that the communication network has a wireless anomaly during the handover execution phase of the target 5G voice session; or
[0038] The segmented target fallback phase is the tracking area update phase. If the latency of the tracking area update phase corresponding to the target 5G voice session exceeds a fourth preset latency, it is determined that the communication network has a core network anomaly during the tracking area update phase of the target 5G voice session; or
[0039] The segmented target fallback phase is the dedicated load setup phase. If the latency of the dedicated load setup phase corresponding to the target 5G voice session exceeds a fifth preset latency, it is determined that the communication network has a wireless anomaly during the dedicated load setup phase of the target 5G voice session.
[0040] Wherein, the delay is the difference between the start time and the end time of the signaling flow corresponding to the fallback phase of the target segment after the division.
[0041] Optionally, the method further includes:
[0042] Based on the dimension of unit network area, the target segment fallback stages corresponding to multiple 5G voice sessions in the same dimension are aggregated. The dimensions include city, grid, network element, cell pair, wireless equipment manufacturer or core network element equipment manufacturer.
[0043] Based on the latency of the target 5G voice session during the target segment fallback phase after segmentation, determining whether the communication network exhibits anomalies during the target segment fallback phase of the target 5G voice session includes:
[0044] Based on the average latency of multiple 5G voice sessions in the converged target segment fallback phase under the target dimension, it is determined whether the communication network has any anomalies in the target segment fallback phase under the target dimension.
[0045] In a second aspect, a communication network anomaly analysis device based on 5G voice fallback latency is provided, including a memory and a processor electrically connected to the memory. The memory stores a computer program that can be run on the processor, and when the computer program is executed by the processor, it implements the steps of the method described in the first aspect.
[0046] Thirdly, a computer-readable storage medium is provided that stores a computer program thereon, which, when executed by a processor, implements the steps of the method described in the first aspect.
[0047] In this embodiment, interactive signaling data collected from the corresponding interface of the 5G voice fallback interaction phase is obtained. The interactive signaling data carries the call time and communication number of the 5G voice session. Based on the call time and communication number, associated interactive signaling data corresponding to the same 5G voice session is obtained from the interactive signaling data. Based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to the same 5G voice session is divided into at least one segmented fallback phase. The types of the segmented fallback phases include a handover measurement phase, a handover preparation phase, a handover execution phase, and a tracking area phase. During the update phase or dedicated bearer establishment phase, based on the latency of the target 5G voice session in the segmented target fallback phase, it is determined whether the communication network has any anomalies in the target segmented fallback phase of the target 5G voice session. This allows for the use of real user call behavior data, combined with signaling characteristics, to segment the latency of important 5G voice fallback interaction phases. The user call behavior data has a longer time span, more samples, and more comprehensive scenario coverage, reflecting various types of user calling devices and different usage habits. This improves the accuracy of communication network anomaly analysis and makes the anomaly judgment results more accurate. Attached Figure Description
[0048] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:
[0049] Figure 1This is a flowchart illustrating the communication network anomaly analysis method according to an embodiment of this application.
[0050] Figure 2 This is a schematic diagram of the signaling flow corresponding to the switching measurement phase in an embodiment of this application.
[0051] Figure 3 This is a schematic diagram of the signaling flow corresponding to the handover preparation phase in an embodiment of this application.
[0052] Figure 4 This is a schematic diagram of the signaling flow corresponding to the switching execution phase in an embodiment of this application.
[0053] Figure 5 This is a schematic diagram of the signaling flow corresponding to the tracking area update stage in an embodiment of this application.
[0054] Figure 6 This is a schematic diagram of the signaling flow corresponding to the carrier establishment phase in an embodiment of this application.
[0055] Figure 7 This is a structural block diagram of the communication network anomaly analysis device according to an embodiment of this application. Detailed Implementation
[0056] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application. The drawing numbers in this application are only used to distinguish the various steps in the solution and are not used to limit the execution order of the various steps. The specific execution order is subject to the description in the specification.
[0057] To address the problems existing in the prior art, embodiments of this application provide a communication network anomaly analysis method based on 5G voice fallback latency, such as... Figure 1 As shown, it includes the following steps:
[0058] Step 102: Obtain the interaction signaling data collected by the corresponding interface during the 5G voice fallback interaction phase. The interaction signaling data carries the call time and communication number of the 5G voice session.
[0059] Step 104: Based on the call time and communication number, obtain the associated interactive signaling data corresponding to the same 5G voice session from the interactive signaling data;
[0060] Step 106: Based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction stage corresponding to the same 5G voice session is divided into at least one segmented fallback stage. The types of the segmented fallback stages include handover measurement stage, handover preparation stage, handover execution stage, tracking area update stage, or dedicated load establishment stage.
[0061] Step 108: Based on the latency of the target 5G voice session in the target segment fallback phase after segmentation, determine whether the communication network has any abnormalities in the target segment fallback phase of the target 5G voice session.
[0062] 5G voice fallback (EPS FALLBACK) is based on 5G network and Voice over Long-Term Evolution (VoLTE). End users initiate voice calls through 5G network, and after falling back to 4G, they can control the IP Multimedia Subsystem (IMS) with voice. All voice calls after falling back to 4G are carried on the 4G network.
[0063] The 5G voice fallback interaction phase begins with the session management policy control update request signaling (Npcf_SMPolicyControl_UpdateNotify Request) during the 5G voice to 4G voice switch and ends with the delete indirect data forwarding tunnel signaling after the 5G voice to 4G voice switch.
[0064] The interfaces corresponding to the 5G voice fallback interaction phase include the following:
[0065] N1 interface: The signaling plane interface located between the user equipment (UE) on the 5G network side and the access and mobility management function (AMF) network element;
[0066] N2 interface: The signaling plane interface located between the 5G network-side base station and the AMF network element;
[0067] S1-MME interface: The signaling plane interface located between the 4G network-side base station and the Mobility Management Entity (MME) network element;
[0068] N26 interface: Signaling plane interface located between 5G AMF network element and 4G MME network element.
[0069] Accordingly, the interaction signaling data collected by the corresponding interface during the 5G voice fallback interaction phase includes the following:
[0070] N1 / N2 interface: Session management signaling, such as Protocol Data Unit (PDU) Session Resource Modification; Mobility management signaling, such as Handover Out and Paging.
[0071] S1-MME interface: connects management signaling, Tracking Area Update (TAU) routing to update signaling and session management signaling, such as dedicated bearer activation;
[0072] N26 interface: Signaling between 5G AMF and 4G MME, such as Forward Relocation Complete Notification.
[0073] The collected interactive signaling data carries the call time and communication number of the corresponding 5G voice session. The communication number includes the mobile phone number and landline number of the mobile terminal user.
[0074] In step 104, based on the call time and communication number, associated interactive signaling data corresponding to the same 5G voice session is obtained from the interactive signaling data, including: determining the first interactive signaling data corresponding to the same communication number in the interactive signaling data based on the communication number carried in the interactive signaling data; and determining the associated interactive signaling data corresponding to the same 5G voice session in the first interactive signaling data based on the call time of the 5G voice session carried in the first interactive signaling data.
[0075] The same communication number can correspond to 5G voice sessions that are called or received at different times. Based on the call time of the 5G voice session corresponding to the same communication number, it is possible to determine which interactive signaling data in the first interactive signaling data were collected based on the same 5G voice session. Thus, by associating multiple signaling data collected from each interface through the call time and communication number, the interactive signaling data belonging to the same 5G voice session during the entire 5G voice fallback interaction phase can be obtained.
[0076] A target 5G voice session corresponds to multiple interactive signaling messages, which are concatenated in chronological order according to the 5G voice fallback interaction process to obtain a corresponding associated interactive signaling data record.
[0077] As mentioned above, since the signaling acquisition interfaces corresponding to the 5G voice fallback interaction phase are located in different network locations, the multiple interaction signaling messages associated with a target 5G voice session are acquired by interfaces of different types. A single associated interaction signaling data record for a target 5G voice session includes the interaction signaling messages involved in the fallback process of that target 5G voice session, acquired by the N1 interface, N2 interface, S1-MME interface, and N26 interface, respectively. The types of signaling data acquired by different interfaces are different, and the types of signaling data acquired by the same interface at different stages may also be different.
[0078] Therefore, based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to a target 5G voice session can be segmented. This segmentation can involve extracting a specific phase from the entire 5G voice fallback interaction phase, or extracting multiple different phases to further subdivide the original 5G voice fallback interaction phase.
[0079] In step 106, optionally, based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to the same 5G voice session is divided into at least one segmented fallback phase, including:
[0080] Obtain the first interface type signaling data collected from the signaling plane interface between the 5G base station and the AMF network element from the associated interactive signaling data corresponding to the target 5G voice session;
[0081] Determine the PDU session response signaling and handover request signaling in the first interface type signaling data;
[0082] Using the PDU session response signaling as the starting point of the signaling flow and the handover request signaling as the ending point of the signaling flow, the handover measurement phase of the target 5G voice session in the 5G voice fallback interaction phase is determined.
[0083] In this embodiment, the first interface type includes the N2 interface. The N2 interface is used to collect the network equipment involved in each 5G voice session during the corresponding 5G voice fallback interaction phase, namely the interaction signaling between the 5G base station and the AMF network element, thereby defining the handover measurement phase of each 5G voice session during the corresponding 5G voice fallback interaction phase.
[0084] refer to Figure 2 Based on the signaling flow consisting of messages 6, 7, 8 and 9 between the 5G Radio Access Network (NG-RAN), namely the 5G base station, AMF network element, Public Data Network Gateway (PGW) network element, Session Management Function (SMF) network element, and User Plane Function (UPF) network element, the handover measurement phase is defined.
[0085] When determining the start and end points of the corresponding segments, a segment of signaling flow that is important in the 5G voice fallback interaction phase, can be quickly and easily used to reflect the problems of that phase is selected for division.
[0086] In this implementation, message 6 is used as the starting point of the signaling flow for the divided handover measurement phase, and message 9 is used as the ending point of the signaling flow for the divided handover measurement phase. Alternatively, message 5 can be used as the starting point of the signaling flow for the divided handover measurement phase, and message 9 as the ending point. This application is not limited to this specific embodiment.
[0087] The content of each message in this embodiment is as follows:
[0088] Message 5: N2 PDU session request; Message 6: N2 PDU session response; Message 7: PDU session update context request; Message 8: PDU session update context response; Message 9: Switching request.
[0089] In step 106, optionally, based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to the same 5G voice session is divided into at least one segmented fallback phase, including:
[0090] Obtain the second interface type signaling data collected from the signaling plane interface between the 5G base station and the AMF network element from the associated interactive signaling data corresponding to the target 5G voice session;
[0091] Obtain the handover request signaling and handover command signaling from the signaling data of the second interface type;
[0092] Using the handover request signaling as the starting point of the signaling flow and the handover command signaling as the ending point of the signaling flow, the handover preparation phase of the target 5G voice session in the 5G voice fallback interaction phase is divided.
[0093] In this embodiment, the second interface type includes the N2 interface, the N26 interface, and the S1-MME interface. Through the N2, N26, and S1-MME interfaces, the network devices involved in each 5G voice session during the corresponding 5G voice fallback interaction phase are collected, namely, the interaction signaling between the 5G base station and the AMF, the interaction signaling between the AMF network element and the MME network element, and the interaction signaling between the 4G base station (i.e., the evolved access network (E-UTRAN)) and the MME network element, thereby defining the handover preparation phase of each 5G voice session within the corresponding 5G voice fallback interaction phase.
[0094] refer to Figure 3The handover preparation phase is defined based on the signaling flow consisting of messages 9 to 21 between NG-RAN, E-UTRAN, AMF network elements, MME network elements, Serving Gateway (SGW) network elements, and PGW / SMF / UPF network elements.
[0095] Similarly, when determining the start and end points of the corresponding segments, a segment of signaling flow that is important in the 5G voice fallback interaction stage, can be quickly and easily used to reflect the problems of that stage is selected for division.
[0096] In this implementation, message 9 is used as the starting point of the signaling flow for the handover preparation phase, and message 21 is used as the ending point of the signaling flow for the handover measurement phase.
[0097] The content of each message in this embodiment is as follows:
[0098] Message 9: Switching request; Message 10: PDU session context request; Message 11: PDU session context response; Message 12: Forward relocation request; Message 13: Session creation request; Message 14: Session creation response; Message 15: Switching request; Message 16: Switching request response; Message 17: Create indirect data forward channel; Message 18: Forward relocation response; Message 19: PDU session update context request; Message 20: PDU session update context response; Message 21: Switching command.
[0099] In step 106, optionally, based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to the same 5G voice session is divided into at least one segmented fallback phase, including:
[0100] From the associated interactive signaling data corresponding to the target 5G voice session, obtain the third interface type signaling data collected from the signaling plane interface between the 5G base station and the AMF network element, and the signaling plane interface between the AMF network element and the MME network element.
[0101] Obtain the handover command signaling and forward relocation completion notification signaling from the signaling data of the third interface type;
[0102] Using the handover command signaling as the starting point of the signaling flow and the forward relocation completion notification signaling as the ending point of the signaling flow, the handover execution phase of the target 5G voice session in the 5G voice fallback interaction phase is divided.
[0103] In this embodiment, the third interface type includes the N2 interface, the N26 interface, and the S1-MME interface. Through the N2, N26, and S1-MME interfaces, the network devices involved in each 5G voice session during the corresponding 5G voice fallback interaction phase are collected, namely, the interaction signaling between the 5G base station and the AMF network element, the interaction signaling between the AMF network element and the MME network element, and the interaction signaling between the 4G base station and the MME network element, thereby defining the handover execution phase of each 5G voice session within the corresponding 5G voice fallback interaction phase.
[0104] refer to Figure 4 Based on the signaling flow consisting of messages 21 to 25 between the UE, NG-RAN, E-UTRAN, AMF network element, and MME network element, the handover execution phase is divided.
[0105] In this implementation, message 21 is used as the starting point of the signaling flow for the divided handover execution phase, and message 25 is used as the ending point of the signaling flow for the divided handover execution phase.
[0106] The content of each message in this embodiment is as follows:
[0107] Message 21: Switch command; Message 22: Switch command; Message 23: Switch complete; Message 24: Switch notification; Message 25: Forward relocation complete notification.
[0108] In step 106, optionally, based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to the same 5G voice session is divided into at least one segmented fallback phase, including:
[0109] From the associated interactive signaling data corresponding to the target 5G voice session, obtain the signaling plane interface between the 4G base station and the MME, and the signaling plane interface between the 4G user equipment and the MME, and collect the fourth interface type signaling data.
[0110] Obtain the tracking area update request signaling and tracking area update accept signaling from the signaling data of the fourth interface type;
[0111] The tracking area update request signaling is used as the starting point of the signaling flow and the tracking area update acceptance signaling is used as the ending point of the signaling flow to divide the tracking area update phase of the target 5G voice session in the 5G voice fallback interaction phase.
[0112] In this embodiment, the fourth interface type includes the S1-MME interface. The S1-MME interface is used to collect the network equipment involved in each 5G voice session during the corresponding 5G voice fallback interaction phase, namely the interaction signaling between the 4G base station (E-UTRAN) and the MME network element, thereby defining the tracking area update phase of each 5G voice session within the corresponding 5G voice fallback interaction phase.
[0113] refer to Figure 5 Based on the signaling flow consisting of messages 31 to 38 between the UE, E-UTRAN, AMF network element, MME network element, and Home User Information Unified Management (HDM+HSS) network element, the tracking area update phase is defined.
[0114] In this implementation, message 32 is used as the starting point of the signaling flow for the divided handover execution phase, and message 37 is used as the ending point of the signaling flow for the divided handover execution phase.
[0115] The content of each message in this embodiment is as follows:
[0116] Message 31: Tracking area update request; Message 32: Tracking area update request; Message 33: Location update request; Message 34: Unsubscribe notification; Message 35: Unsubscribe; Message 36: Location update response; Message 37: Tracking area update accepted; Message 38: Tracking area update complete.
[0117] In step 106, optionally, based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to the same 5G voice session is divided into at least one segmented fallback phase, including:
[0118] From the associated interactive signaling data corresponding to the target 5G voice session, obtain the fifth interface type signaling data collected from the signaling plane interface between the 4G user equipment and the MME network element;
[0119] Obtain the dedicated bearer activation request signaling and dedicated bearer activation acceptance signaling from the signaling data of the fifth interface type;
[0120] The dedicated bearer activation request signaling is used as the starting point of the signaling flow and the dedicated bearer activation acceptance signaling is used as the ending point of the signaling flow to divide the dedicated bearer establishment phase of the target 5G voice session in the 5G voice fallback interaction phase.
[0121] In this embodiment, the fifth interface type includes the S1-MME interface. The S1-MME interface is used to collect the network equipment involved in each 5G voice session during the corresponding 5G voice fallback interaction phase, namely the interaction signaling between the 4G base station (E-UTRAN) and the MME network element, thereby defining the tracking area update phase of each 5G voice session within the corresponding 5G voice fallback interaction phase.
[0122] refer to Figure 6 Based on the signaling flow consisting of messages 41 to 46 between the UE, E-UTRAN, and MME network elements, the dedicated carrier establishment phase is divided.
[0123] In this implementation, message 41 is used as the starting point of the signaling flow for the divided handover execution phase, and message 46 is used as the ending point of the signaling flow for the divided handover execution phase.
[0124] The content of each message in this embodiment is as follows:
[0125] Message 41: Dedicated bearer activation request; Message 42: Bearer establishment request; Message 43: Radio Resource Control (RRC) connection reconfiguration; Message 44: RRC connection reconfiguration complete; Message 45: Bearer establishment response; Message 46: Activate dedicated EPS bearer context accepted.
[0126] In step 108, the delay of the target segment fallback phase is determined by the difference between the signaling flow start time and the signaling flow end time of the corresponding type segmentation phase.
[0127] By comparing the latency of each segmented fallback stage with its corresponding preset latency threshold, it can be determined whether there is a communication network anomaly in each segmented fallback stage.
[0128] Optionally, based on the latency of the target 5G voice session during the segmented target fallback phase, determining whether the communication network exhibits anomalies during the segmented fallback phase of the target 5G voice session includes:
[0129] The segmented target fallback phase is the handover measurement phase. If the latency of the handover measurement phase corresponding to the target 5G voice session exceeds a first preset latency, it is determined that the communication network has a wireless anomaly during the handover measurement phase of the target 5G voice session; or
[0130] The segmented target fallback phase is the handover preparation phase. If the latency of the handover preparation phase corresponding to the target 5G voice session exceeds the second preset latency, it is determined that the communication network has a wireless anomaly during the handover preparation phase of the target 5G voice session; or
[0131] The segmented target fallback phase is the handover execution phase. If the latency of the handover execution phase corresponding to the target 5G voice session exceeds a third preset latency, it is determined that the communication network has a wireless anomaly during the handover execution phase of the target 5G voice session; or
[0132] The segmented target fallback phase is the tracking area update phase. If the latency of the tracking area update phase corresponding to the target 5G voice session exceeds a fourth preset latency, it is determined that the communication network has a core network anomaly during the tracking area update phase of the target 5G voice session; or
[0133] The segmented target fallback phase is the dedicated load setup phase. If the latency of the dedicated load setup phase corresponding to the target 5G voice session exceeds a fifth preset latency, it is determined that the communication network has a wireless anomaly during the dedicated load setup phase of the target 5G voice session.
[0134] Wherein, the delay is the difference between the start time and the end time of the signaling flow corresponding to the fallback phase of the target segment after the division.
[0135] Through the above embodiments, it is possible to determine whether there is an anomaly in the target segment fallback phase of a 5G voice session based on the latency of a single 5G voice session in the corresponding target segment fallback phase after division.
[0136] In other embodiments, multiple 5G voice sessions can be aggregated based on the same dimension shared by each 5G voice session in order to determine whether there are any anomalies in the target segment fallback phase of the communication network under the target dimension.
[0137] Optionally, the method further includes:
[0138] Based on the dimension of unit network area, the target segment fallback stages corresponding to multiple 5G voice sessions in the same dimension are aggregated. The dimensions include city, grid, network element, cell pair, wireless equipment manufacturer or core network element equipment manufacturer.
[0139] Based on the latency of the target 5G voice session during the target segment fallback phase after segmentation, determining whether the communication network exhibits anomalies during the target segment fallback phase of the target 5G voice session includes:
[0140] Based on the average latency of multiple 5G voice sessions in the converged target segment fallback phase under the target dimension, it is determined whether the communication network has any anomalies in the target segment fallback phase under the target dimension.
[0141] Specifically, the average latency during the handover measurement phase is calculated by summing the latency of the 5G voice sessions aggregated under the same dimension in their respective handover measurement phases to obtain the total latency, and then dividing it by the number of aggregated 5G voice sessions to obtain the average latency during the handover measurement phase under the same dimension.
[0142] Similarly, the average latency of the handover preparation phase is calculated by summing the latency of the 5G voice sessions aggregated under the same dimension in their respective handover preparation phases, obtaining the total latency, and then dividing it by the number of aggregated 5G voice sessions to obtain the average latency of the handover preparation phase under the same dimension.
[0143] The average latency of the handover execution phase is calculated by summing the latency of the 5G voice sessions aggregated under the same dimension in their respective handover execution phases, obtaining the total latency, and then dividing it by the number of aggregated 5G voice sessions to obtain the average latency of the handover execution phase under the same dimension.
[0144] The average latency of the tracking area update is calculated by summing the latency of the 5G voice sessions aggregated under the same dimension during their respective tracking area update phases, obtaining the total latency, and then dividing it by the number of aggregated 5G voice sessions to obtain the average latency of the tracking area update phase under the same dimension.
[0145] The average latency of dedicated network establishment is calculated by summing the latency of the 5G voice sessions aggregated under the same dimension during their respective dedicated network establishment phases, obtaining the total latency, and then dividing it by the number of aggregated 5G voice sessions to obtain the average latency of the dedicated network establishment phase under the same dimension.
[0146] The distribution of latency during each fallback phase is statistically analyzed based on various dimensions, including city / prefecture, grid, network element, cell pair, and manufacturer. This allows for the identification of anomalies in the communication network at different fallback phases from both macro-management and micro-maintenance perspectives. By comparing these findings, the corresponding communication network quality deficiencies at different dimensions can be quickly identified, enabling appropriate quality improvement and optimization.
[0147] Furthermore, the preset latency thresholds corresponding to each segmented fallback phase are further divided into multiple latency intervals. For example, the preset latency thresholds are divided into m1, m2, and m3, where 0 <m1<m2<m3。
[0148] The indicator sets corresponding to different dimensions and segments are shown in Table 1 below:
[0149] Table 1
[0150]
[0151]
[0152] The longer the actual latency exceeds the limit in each stage, the worse the communication network quality is in that stage. By distinguishing different latency intervals, we can narrow down the scope and quickly find the stage where the communication network with the worst quality is located, which facilitates subsequent optimization and maintenance.
[0153] Optionally, the method further includes:
[0154] If it is determined that the communication network has an anomaly in the target segment fallback phase of the target 5G voice session, the associated interactive signaling data corresponding to the target segment fallback phase is obtained;
[0155] Based on the acquisition interface information and network device information recorded in the associated interactive signaling data, it is determined that there are abnormal network devices in the target segment fallback phase.
[0156] By determining whether the anomaly type in the target segment fallback phase is a wireless issue or a core network issue, and combining this with the associated interactive signaling data of the 5G voice session corresponding to the target segment fallback phase, we can locate the collected interface information and network device information. This allows us to accurately pinpoint the network device that experienced the anomaly in that segment fallback phase, such as the base station and / or network element.
[0157] In this embodiment, interactive signaling data collected from the corresponding interface of the 5G voice fallback interaction phase is obtained. The interactive signaling data carries the call time and communication number of the 5G voice session. Based on the call time and communication number, associated interactive signaling data corresponding to the same 5G voice session is obtained from the interactive signaling data. Based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to the same 5G voice session is divided into at least one segmented fallback phase. The types of the segmented fallback phases include a handover measurement phase, a handover preparation phase, a handover execution phase, and a tracking area phase. During the update phase or dedicated bearer establishment phase, based on the latency of the target 5G voice session in the segmented target fallback phase, it is determined whether the communication network has any anomalies in the target segmented fallback phase of the target 5G voice session. This allows for the use of real user call behavior data, combined with signaling characteristics, to segment the latency of important 5G voice fallback interaction phases. The user call behavior data has a longer time span, more samples, and more comprehensive scenario coverage, reflecting various types of user calling devices and different usage habits. This improves the accuracy of communication network anomaly analysis and makes the anomaly judgment results more accurate.
[0158] Furthermore, compared to existing technologies that determine latency through extensive testing, this application can significantly save manpower and resources.
[0159] Optionally, embodiments of this application also provide a communication network anomaly analysis based on 5G voice fallback latency. Figure 7 This is a structural block diagram of the communication network anomaly analysis device according to an embodiment of this application.
[0160] like Figure 7 As shown, the communication network anomaly analysis device 2000 includes a memory 2200 and a processor 2400 electrically connected to the memory 2200. The memory 2200 stores a computer program that can be run on the processor 2400. When the computer program is executed by the processor, it implements the various processes of any of the above-described embodiments of the communication network anomaly analysis method based on 5G voice fallback delay, and can achieve the same technical effect. To avoid repetition, it will not be described again here.
[0161] This application also provides a computer-readable storage medium storing a computer program. When executed by a processor, this computer program implements the various processes of any of the above-described embodiments of the communication network anomaly analysis method based on 5G voice fallback latency, and achieves the same technical effect. To avoid repetition, it will not be described again here. The computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc.
[0162] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.
[0163] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.
[0164] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.
Claims
1. A communication network anomaly analysis method based on 5G voice fallback latency, characterized in that, include: Acquire the interaction signaling data collected by the corresponding interface during the 5G voice fallback interaction phase. Among them, the interaction signaling data carries the call time and communication number of the 5G voice session and user call behavior data. Based on the call time and communication number, the associated interactive signaling data corresponding to the same 5G voice session is obtained from the interactive signaling data. Specifically, this includes: determining the first interactive signaling data corresponding to the same communication number in the interactive signaling data based on the communication number carried in the interactive signaling data; and determining the associated interactive signaling data corresponding to the same 5G voice session in the first interactive signaling data based on the call time of the 5G voice session carried in the first interactive signaling data. Based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to the same 5G voice session is divided into at least one segmented fallback phase. The segmented fallback phase includes a handover measurement phase, a handover preparation phase, a handover execution phase, a tracking area update phase, or a dedicated bearer establishment phase. The acquisition interface type for the handover measurement phase is the signaling plane interface between the 5G base station and the AMF network element. The signaling type at the start of the signaling flow in the handover measurement phase is PDU session response signaling, and the signaling type at the end of the signaling flow is handover request signaling. The acquisition interface type for the handover preparation phase is the signaling plane interface between the 5G base station and the AMF network element. The signaling type at the start of the signaling flow in the handover preparation phase is handover request signaling, and the signaling type at the end of the signaling flow is handover command signaling. The acquisition interface type for the handover execution phase is... The signaling plane interfaces for the handover execution phase and the tracking area update phase are: the signaling plane interface between the 5G base station and the AMF network element, and the signaling plane interface between the AMF network element and the MME network element. The signaling type at the start of the signaling flow during the handover execution phase is a handover command signaling, and the signaling type at the end of the signaling flow is a forward relocation completion notification signaling. The acquisition interface types for the tracking area update phase are: the signaling plane interface between the 4G base station and the MME, and the signaling plane interface between the 4G user equipment and the MME. The signaling type at the start of the signaling flow during the tracking area update phase is a tracking area update request signaling, and the signaling type at the end of the signaling flow is a tracking area update accept signaling. The acquisition interface type for the dedicated bearer establishment phase is: the signaling plane interface between the 4G user equipment and the MME network element. The signaling type at the start of the signaling flow during the dedicated bearer establishment phase is a dedicated bearer activation request signaling, and the signaling type at the end of the signaling flow is a dedicated bearer activation accept signaling. Based on the latency of the target 5G voice session during the target segment fallback phase after segmentation, determine whether the communication network has any anomalies during the target segment fallback phase of the target 5G voice session.
2. The method as described in claim 1, characterized in that, Based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to the same 5G voice session is divided into at least one segmented fallback phase, including: Obtain the first interface type signaling data collected from the signaling plane interface between the 5G base station and the AMF network element from the associated interactive signaling data corresponding to the target 5G voice session; Determine the PDU session response signaling and handover request signaling in the signaling data of the first interface type; Using the PDU session response signaling as the starting point of the signaling flow and the handover request signaling as the ending point of the signaling flow, the handover measurement phase of the target 5G voice session in the 5G voice fallback interaction phase is determined.
3. The method as described in claim 1, characterized in that, Based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to the same 5G voice session is divided into at least one segmented fallback phase, including: Obtain the second interface type signaling data collected from the signaling plane interface between the 5G base station and the AMF network element from the associated interactive signaling data corresponding to the target 5G voice session; Obtain the handover request signaling and handover command signaling from the signaling data of the second interface type; Using the handover request signaling as the starting point of the signaling flow and the handover command signaling as the ending point of the signaling flow, the handover preparation phase of the target 5G voice session in the 5G voice fallback interaction phase is divided.
4. The method as described in claim 1, characterized in that, Based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to the same 5G voice session is divided into at least one segmented fallback phase, including: From the associated interactive signaling data corresponding to the target 5G voice session, obtain the third interface type signaling data collected from the signaling plane interface between the 5G base station and the AMF network element, and the signaling plane interface between the AMF network element and the MME network element. Obtain the handover command signaling and forward relocation completion notification signaling from the signaling data of the third interface type; Using the handover command signaling as the starting point of the signaling flow and the forward relocation completion notification signaling as the ending point of the signaling flow, the handover execution phase of the target 5G voice session in the 5G voice fallback interaction phase is divided.
5. The method as described in claim 1, characterized in that, Based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to the same 5G voice session is divided into at least one segmented fallback phase, including: From the associated interactive signaling data corresponding to the target 5G voice session, obtain the signaling plane interface between the 4G base station and the MME, and the signaling plane interface between the 4G user equipment and the MME, and collect the fourth interface type signaling data. Obtain the tracking area update request signaling and tracking area update accept signaling from the signaling data of the fourth interface type; The tracking area update request signaling is used as the starting point of the signaling flow and the tracking area update acceptance signaling is used as the ending point of the signaling flow to divide the tracking area update phase of the target 5G voice session in the 5G voice fallback interaction phase.
6. The method as described in claim 1, characterized in that, Based on the acquisition interface type and signaling type of the associated interactive signaling data, the 5G voice fallback interaction phase corresponding to the same 5G voice session is divided into at least one segmented fallback phase, including: From the associated interactive signaling data corresponding to the target 5G voice session, obtain the fifth interface type signaling data collected from the signaling plane interface between the 4G user equipment and the MME network element; Obtain the dedicated bearer activation request signaling and dedicated bearer activation acceptance signaling from the signaling data of the fifth interface type; The dedicated bearer activation request signaling is used as the starting point of the signaling flow and the dedicated bearer activation acceptance signaling is used as the ending point of the signaling flow to divide the dedicated bearer establishment phase of the target 5G voice session in the 5G voice fallback interaction phase.
7. The method according to any one of claims 1 to 6, characterized in that, Based on the latency of the target 5G voice session during the target segment fallback phase after segmentation, determining whether the communication network exhibits anomalies during the target segment fallback phase of the target 5G voice session includes: The segmented target fallback phase is the handover measurement phase. If the latency of the handover measurement phase corresponding to the target 5G voice session exceeds a first preset latency, it is determined that the communication network has a wireless anomaly during the handover measurement phase of the target 5G voice session; or The segmented target fallback phase is the handover preparation phase. If the latency of the handover preparation phase corresponding to the target 5G voice session exceeds the second preset latency, it is determined that the communication network has a wireless anomaly during the handover preparation phase of the target 5G voice session; or The segmented target fallback phase is the handover execution phase. If the latency of the handover execution phase corresponding to the target 5G voice session exceeds a third preset latency, it is determined that the communication network has a wireless anomaly during the handover execution phase of the target 5G voice session; or The segmented target fallback phase is the tracking area update phase. If the latency of the tracking area update phase corresponding to the target 5G voice session exceeds a fourth preset latency, it is determined that the communication network has a core network anomaly during the tracking area update phase of the target 5G voice session; or The segmented target fallback phase is the dedicated load setup phase. If the latency of the dedicated load setup phase corresponding to the target 5G voice session exceeds a fifth preset latency, it is determined that the communication network has a wireless anomaly during the dedicated load setup phase of the target 5G voice session. Wherein, the delay is the difference between the start time and the end time of the signaling flow corresponding to the fallback phase of the target segment after the division.
8. The method as described in claim 7, characterized in that, Also includes: Based on the dimension of unit network area, the target segment fallback stages corresponding to multiple 5G voice sessions in the same dimension are aggregated. The dimensions include city, grid, network element, cell pair, wireless equipment manufacturer or core network element equipment manufacturer. Based on the latency of the target 5G voice session during the target segment fallback phase after segmentation, determining whether the communication network exhibits anomalies during the target segment fallback phase of the target 5G voice session includes: Based on the average latency of multiple 5G voice sessions in the converged target segment fallback phase under the target dimension, it is determined whether the communication network has any anomalies in the target segment fallback phase under the target dimension.
9. A communication network anomaly analysis device based on 5G voice fallback delay, characterized in that, include: A memory and a processor electrically connected to the memory, the memory storing a computer program executable by the processor, the computer program, when executed by the processor, implementing the steps of the method as described in any one of claims 1 to 8.
Citation Information
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Method for analyzing fallback and returned signalling of LTE (Long Term Evolution) subscriber in CS (circuit-switched) domain
CN105188036A
