Parameter optimization method, device and equipment for voice fallback, and medium

By optimizing the parameter configuration of base stations and terminals, the problems of dropped voice calls and poor quality in scenarios with weak 5G NR coverage were solved, improving user experience and network service quality, and achieving voice call stability and connection rate in weak coverage areas.

CN117202220BActive Publication Date: 2026-06-23CHINA TELECOM CORP LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA TELECOM CORP LTD
Filing Date
2022-05-30
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

In scenarios with weak 5G NR coverage, there are frequent voice call drops and poor uplink voice quality, which affect the user experience of VONR and the development of market business.

Method used

Based on the measurement results recorded by the base station and terminal, the system automatically optimizes the parameter configuration, adjusts relevant parameter configurations such as the A2 threshold for weak field call initiation and the 4G fallback frequency point, flexibly selects VONR or EPS Fallback service for voice calls, and optimizes the A2 threshold and the B1 threshold for FR fast return to improve the call connection rate and reduce the call drop rate.

Benefits of technology

It effectively improved the user experience and network service quality of VONR users, enhanced adaptability in areas with weak coverage, reduced call drop rate, and improved user experience.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present disclosure provides a voice fallback parameter optimization method and device, equipment and medium, and relates to the technical field of communication. The method comprises the following steps: a base station receives a voice call request of a terminal, and the voice call request comprises an identifier of the terminal; whether the terminal has reported a weak field call A2 is judged based on the identifier of the terminal; in the case that the terminal has reported the weak field call A2 and the uplink channel detection result of the terminal is received, the uplink channel detection result of the terminal and the measurement result fed back after the terminal reaccesses to the 5G network are combined to judge whether the weak field call A2 threshold set by the base station is reasonable, and whether the terminal is in weak coverage; in the case that the weak field call A2 threshold set by the base station is unreasonable and / or the terminal is in weak coverage, the weak field call A2 threshold of the terminal is reset. According to the embodiment of the present disclosure, the user perception can be effectively guaranteed, and the network service quality can be improved.
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Description

Technical Field

[0001] This disclosure relates to the field of communication technology, and in particular to a method, apparatus, device and medium for optimizing parameters of voice fallback. Background Technology

[0002] In scenarios where 5G NR coverage is currently weak, there are frequent voice call drops and poor uplink voice quality, which seriously affect the user experience of VONR and the development of market business.

[0003] Currently, many areas still have weak coverage, and this is unlikely to improve in the short term. In some scenarios, weak-field calls will remain the norm for some time. Therefore, improving the user experience of VoNR in weak-field environments and enhancing the adaptability of VoNR services in relatively weak coverage areas have become urgent problems to be solved.

[0004] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] This disclosure provides a method, apparatus, device, and medium for optimizing voice fallback parameters, which at least to some extent solves the problem of how to improve the user experience of VONR in weak field environments and enhance the adaptability of VONR services in relatively weak coverage areas.

[0006] Other features and advantages of this disclosure will become apparent from the following detailed description, or may be learned in part from practice of this disclosure.

[0007] According to one aspect of this disclosure, a method for optimizing voice fallback parameters is provided, applied to a base station, the method comprising:

[0008] The receiving terminal sends a voice call request, which includes the terminal's identifier.

[0009] Based on the terminal's identifier, determine whether the terminal has reported weak field call A2;

[0010] If the terminal has reported weak field call A2 and the uplink channel detection result of the terminal is received, the base station determines whether the weak field call A2 threshold set by the base station is reasonable, and determines whether the terminal is in weak coverage, by combining the uplink channel detection result of the terminal and the measurement result fed back after the terminal re-accesses the 5G network.

[0011] If the weak field call A2 threshold set by the base station is unreasonable and / or the terminal is in a weak coverage situation, reset the weak field call A2 threshold of the terminal.

[0012] In one embodiment of this disclosure, a voice call is made via VONR service when the terminal has not reported a weak field call A2.

[0013] In one embodiment of this disclosure, voice calls are made via EPS Fallback service in the event of weak coverage.

[0014] In one embodiment of this disclosure, in the case of weak coverage, the method further includes:

[0015] 4G fallback frequency points are selected based on stored information;

[0016] The 4G fallback frequency point is informed to the terminal so that the terminal can initiate VoLTE voice calls on the 4G network after initiating a Tracking Area Update (TAU).

[0017] In one embodiment of this disclosure, the method further includes:

[0018] The measurement results fed back by the receiving terminal include the SSB / CSI-RS RSRP before the call is initiated and the SSB / CSI-RS SINR of the camped network quality.

[0019] Based on the measurement results, determine whether the 4G fallback frequency point is reasonable;

[0020] If the 4G fallback frequency point is unreasonable, adjust the B1 threshold of the FR fast return configuration on the network side.

[0021] In one embodiment of this disclosure, before receiving a voice call request from a terminal, the method further includes:

[0022] When a terminal initially connects, a weak field call A2 threshold is configured for the terminal. The weak field call A2 threshold is higher than the data service A2 threshold.

[0023] In one embodiment of this disclosure, the terminal uplink channel detection results include the sounding reference signal (SRS), the reference signal received power (RSRP) and signal-to-interference-plus-noise ratio (SINR) of the physical uplink shared channel (PUSCH), and the RSRP and SINR of the physical uplink control channel (PUCCH).

[0024] According to another aspect of this disclosure, a voice fallback parameter optimization apparatus is provided, applied to a base station, the apparatus comprising:

[0025] The request receiving module is used to receive voice call requests from terminals, and the voice call requests include the terminal's identifier;

[0026] The first judgment module is used to determine whether the terminal has reported weak field call A2 based on the terminal's identifier.

[0027] The second judgment module is used to determine whether the weak field call A2 threshold set by the base station is reasonable, and whether the terminal is in weak coverage, when the terminal has reported weak field call A2 and the uplink channel detection result of the terminal is received, in combination with the uplink channel detection result of the terminal and the measurement result fed back after the terminal re-accessed the 5G network.

[0028] The parameter optimization module is used to reset the weak field call A2 threshold of the terminal when the weak field call A2 threshold set by the base station is unreasonable and / or the terminal is in a weak coverage situation.

[0029] According to another aspect of this disclosure, an electronic device is provided, comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the above-described parameter optimization method for voice fallback by executing the executable instructions.

[0030] According to another aspect of this disclosure, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the above-described method for optimizing speech fallback parameters.

[0031] The voice fallback parameter optimization method, apparatus, device, and medium provided in this disclosure, after receiving a voice call request from a terminal, determine whether the terminal has reported weak field call A2. If the terminal has reported weak field call A2 and the uplink channel detection result is received from the terminal, the base station, combining the uplink channel detection result and the measurement results fed back after the terminal reconnected to the 5G network, determines whether the weak field call A2 threshold set by the base station is reasonable and whether the terminal is in weak coverage. If the weak field call A2 threshold set by the base station is unreasonable and / or the terminal is in weak coverage, the weak field call A2 threshold of the terminal is reset to optimize the A2 threshold parameter configuration. Furthermore, the terminal can flexibly choose VONR service or EPS Fallback service for voice calls based on its own network quality, which can effectively improve the call connection rate, reduce the call drop rate, and improve user experience.

[0032] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0033] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure. It is obvious that the drawings described below are merely some embodiments of this disclosure, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0034] Figure 1A schematic diagram of a VoNR (SA networking) structure in related technologies is shown;

[0035] Figure 2 This diagram illustrates a process flow diagram of a weak-field EPS Fallback technique in related technologies.

[0036] Figure 3 A flowchart illustrating a parameter optimization method for speech fallback according to an embodiment of this disclosure is shown.

[0037] Figure 4 A flowchart illustrating another method for optimizing speech fallback parameters in an embodiment of this disclosure is shown.

[0038] Figure 5 A flowchart illustrating another method for optimizing speech fallback parameters in an embodiment of this disclosure is shown.

[0039] Figure 6 A flowchart illustrating another parameter optimization method for speech fallback in an embodiment of this disclosure is shown.

[0040] Figure 7 A schematic diagram of a parameter optimization device for voice fallback according to an embodiment of the present disclosure is shown;

[0041] Figure 8 A structural block diagram of an electronic device according to an embodiment of the present disclosure is shown. Detailed Implementation

[0042] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that this disclosure will be more comprehensive and complete, and will fully convey the concept of the exemplary embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0043] Furthermore, the accompanying drawings are merely illustrative of this disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0044] It should be understood that the steps described in the method embodiments of this disclosure may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of this disclosure is not limited in this respect.

[0045] It should be noted that the concepts of "first" and "second" mentioned in this disclosure are used only to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.

[0046] It should be noted that the terms "a" and "a plurality of" used in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0047] For ease of understanding, the relevant technologies and terms involved in this disclosure are explained below:

[0048] VoLTE (Voice over LTE) refers to the direct provision of IP-based voice services on LTE networks through the introduction of IMS. VoLTE is also known as VoIP managed by IMS and carried on 4G LTE networks.

[0049] VoLTE encapsulates voice services into IP data packets for transmission, much like packaged parcels, eliminating the need for dedicated resources and significantly improving network efficiency. More importantly, VoLTE also unprecedentedly improves voice quality and reduces call setup time.

[0050] VoLTE employs AMR-WB (Adaptive Multi-rate-Wideband) voice coding technology, significantly improving the coding rate compared to 2G and 3G, and expanding the voice bandwidth range from 300Hz-3400Hz to 50Hz-7000Hz. This results in clearer sound quality and a wider frequency range, making mobile network voice quality comparable to listening to a radio for the first time. When dialing, 3G networks take approximately 6-8 seconds to connect, while VoLTE connects in just 2-3 seconds.

[0051] Under SA networking, the 5G network has its own core network 5GC and no longer relies on 4G as the control network. This means that 5G voice services can be independently carried end-to-end through 5G NR, 5GC and IMS, namely VoNR (Voice over NR) or Vo5G (Voice over 5GS).

[0052] However, in the early stages of 5G SA deployment, considering that the 5G NR network has not yet achieved continuous wide coverage, when a mobile phone moves out of the 5G NR coverage area, it will frequently switch from an ongoing VoNR voice call to the better-covering VoLTE network, resulting in a poor user experience. Therefore, a transitional solution—EPS Fallback—was introduced in the early stages of 5G deployment.

[0053] Similar to the CS Fallback in the 4G era, the EPS Fallback scheme does not provide PS voice services on 5G networks. When a phone attempts to use voice services on a 5G network, it will fall back to the 4G network via redirection or handover, where the 4G network will provide VoLTE voice services. The phone will then return to the 5G network after the call ends. During the call, because the phone has fallen back to the 4G network, data services are also forced to be transmitted along with voice services via 4G LTE until the call ends.

[0054] Figure 1 This diagram illustrates a VoNR (SA) network architecture. VoNR can be an end-to-end voice service carried by 5G NR, 5G Core, and IMS. Strictly speaking, NR is only the radio access network portion of a 5G network, while 5GS (5G System) includes both 5G NR and 5G Core. Therefore, calling VoNR Vo5G (Voice over 5GS) is more accurate. However, when we usually refer to VoNR, we are referring to Vo5G.

[0055] Compared to EPS Fallback, the advantages of VoNR are self-evident. First, it eliminates the need to fall back to VoLTE, resulting in shorter call setup times. Second, it supports concurrent 5G voice and 5G data services, meaning we can make calls and access the internet at high speed simultaneously.

[0056] Considering that when a mobile phone moves to the edge of 5G cell coverage, it may cause poor VoNR voice quality or even dropped calls, in order to ensure the continuity of voice calls, the ongoing VoNR call needs to be switched to 4G VoLTE. Therefore, similar to the SRVCC solution in the 4G era, the VoNR solution also supports smooth switching between VoNR and VoLTE through the Inter-RAT handover mechanism.

[0057] The 5G voice solution continues the design approach of 4G network VoLTE, carrying voice services through the 5G network (radio network + core network) and IMS system, known as VoNR (Voice over NR). Due to limitations in the chip and terminal industries, it is recommended to consider the EPS Fallback solution in the early stages of 5G network deployment, and then transition to the VoNR solution after the industry chain matures.

[0058] Weak-field call EPS Fallback refers to the process in the early stages of VoNR deployment, in areas with insufficient 5G coverage, where users initiating VoNR calls directly may experience dropped calls and a poor user experience. In this case, the call can be directly reverted to 4G origin, i.e., EPS Fallback. After the voice service ends, the call will remain in the original 5G cell. The existing weak-field call EPS Fallback process can be found here. Figure 2 .

[0059] The inventors discovered that in the early stages of network deployment, Figure 2 In the weak field VONR call initiation process shown, the relevant parameters configured by the base station for whether to use VONR or VOLTE may not be reasonable. For example, is the threshold configured for the A2 parameter too high or too low? Is the configured fallback 4G frequency point reasonable? For example, as the number of fallback users increases, can the original 4G frequency point still carry the load? Does it need to be adjusted or optimized?

[0060] In scenarios where NR coverage is currently weak, there are frequent voice call drops and poor uplink voice quality, which seriously affect the user experience of VONR and the development of market business.

[0061] While NR MR coverage has reached over 95% in some key hotspot areas, there are still many weak coverage areas in urban villages and some indoor scenarios, relative to the higher service level requirements of VONR services. These areas are unlikely to see significant improvement in the short term, and weak-field calls in some scenarios will be the norm for some time to come. Improving the user experience of VONR in weak-field environments and enhancing the adaptability of VONR services in relatively poorly covered areas have become urgent problems to be solved.

[0062] Based on the inventor's above findings, this disclosure provides a method, apparatus, device, and medium for optimizing voice fallback parameters, which automatically optimizes parameter configuration by adjusting relevant parameter configurations based on measurement results recorded by base stations and terminals, thereby effectively ensuring user experience and improving network service quality.

[0063] The following detailed description of this exemplary implementation method is provided in conjunction with the accompanying drawings and embodiments.

[0064] Figure 3 This diagram illustrates a parameter optimization method for speech fallback according to an embodiment of the present disclosure, as follows: Figure 3 As shown, the speech fallback parameter optimization method provided in this embodiment includes the following steps:

[0065] S302, The base station receives a voice call request from the terminal, and the voice call request includes the terminal's identifier;

[0066] S304, based on the terminal's identifier, determines whether the terminal has reported weak field call A2;

[0067] S306. If the terminal has reported weak field call A2 and the uplink channel detection result of the terminal is received, the base station determines whether the weak field call A2 threshold set by the base station is reasonable, and determines whether the terminal is in weak coverage, by combining the uplink channel detection result of the terminal and the measurement result fed back after the terminal re-accesses the 5G network.

[0068] S308, if the weak field call A2 threshold set by the base station is unreasonable and / or the terminal is in a weak coverage situation, reset the weak field call A2 threshold of the terminal.

[0069] In some embodiments, voice calls are made via VONR service when the terminal has not reported weak field call A2.

[0070] In some embodiments, voice calls are made via EPS Fallback service in cases of weak coverage.

[0071] When the terminal is in a weak coverage environment, if the A2 threshold or 4G fallback frequency parameters are not set reasonably, the VONR call connection rate will be significantly reduced, affecting the user experience. In areas with weak 5G coverage, the voice quality of VOLTE will be more stable.

[0072] In this embodiment of the present disclosure, when the terminal is in a weak field, the parameter configuration can be optimized and adjusted through the above steps, so that the terminal can flexibly choose VONR or EPS fallback to 4G to initiate a VOLTE call based on its own network quality, which can effectively improve the call connection rate, reduce the call drop rate, improve the MOS value, and in the overall effect, effectively improve the user experience.

[0073] Figure 4 This diagram illustrates a parameter optimization method for speech fallback according to an embodiment of the present disclosure. Figure 4 The parameter optimization method for speech fallback shown is... Figure 3 The method shown is similar. In Figure 3 Based on the method shown, Figure 4 Before receiving the voice call request from the terminal in S302, the method may further include S402 configuring a weak field call initiation A2 threshold for the terminal when the terminal (UE) initially accesses the network. The weak field call initiation A2 threshold is higher than the A2 threshold for data services.

[0074] When a 5G base station initially connects to a terminal, it configures a weak field A2 for the terminal, with a specific threshold of TH1.

[0075] It should be noted that the 5G base station needs to configure and activate weak field A2 before the terminal initiates 5QCI1. Generally, the threshold for weak field call initiation A2 needs to be higher than the A2 threshold for data services. At this time, the measurement results that the terminal needs to record include RSRP before the call and the quality of the camped network.

[0076] When 5QCI1 is established, as described in S304 above, the 5G base station determines whether the terminal has reported A2. If it has reported A2, the terminal is considered to be in a 5G weak coverage area.

[0077] At this time, the 5G base station that initiates the call also needs to receive the uplink detection results related to the terminal on the designated resources. The results may include RSRP and SINR of SRS, PUSCH and PUCCH, etc., and record and save them.

[0078] In S306, combining the terminal's uplink channel detection results and the measurement results fed back after the terminal re-accessed the 5G network, it is determined whether the weak field call initiation A2 threshold set by the base station is reasonable, and whether the terminal is in weak coverage. In S308, if the weak field call initiation A2 threshold set by the base station is unreasonable and / or the terminal is in weak coverage, the weak field call initiation A2 threshold of the terminal is reset.

[0079] As an example, the current terminal channel quality information can be generated based on a preset algorithm and then compared with the fallback threshold TH1 to determine whether to fall back. The adjustment of the fallback threshold is made by statistical results of communication effects with or without fallback or by 4G channel quality statistics.

[0080] Based on the information stored by the 5G base station and the information fed back to the network after the terminal reconnected to the 5G network, the 5G base station will refuse to establish 5QCI1 for UEs in weak coverage areas.

[0081] In some embodiments, when a 5G base station receives a PDU Session Resource ModifyRequest message from the core network requesting the establishment of a 5Q11 voice bearer, the gNodeB replies to the core network with a PDU Session Resource Modify Response message containing the failure reason value INS voice EPS fallback or RAT fallbacktriggered, meaning it refuses to establish a 5Q11 voice bearer and instead enters the EPS Fallback voice call process.

[0082] EPS Fallback voice calls can be performed using blind redirection (or measurement-based or handover-based EPS fallback to LTE).

[0083] The terminal executes the redirection process and accesses the 4G network according to the frequency point information in the RRC Release sent by the 5G base station.

[0084] As an example, RRC Release information can be a list, and the terminal searches for and accesses the cell according to priority from high to low. Combining the information stored by the 5G base station in the early stage, including the information fed back to the network after the terminal reconnects to the 5G network after the previous voice call ends, the 5G base station can determine whether the 4G frequency point information is reasonable. If the 4G frequency point that has fallen back is already very busy, it is necessary to consider adjusting the priority list of the 4G frequency points.

[0085] After accessing the 4G network, the terminal and EPC initiate a TAU process. For redirection scenarios with an N26 interface, the TAU process can be initiated at this time. For redirection scenarios without an N26 interface, a reattach process may be required.

[0086] After the terminal falls back to the EPS network, the EPC triggers the IMS voice private bearer creation process.

[0087] After the voice service ends, the UE returns to the original 5G cell. After the terminal reconnects to the 5G network, it feeds back the previously recorded information to the network. Based on the previously stored information and the information fed back to the network by the terminal, the 5G base station adjusts the relevant parameter configurations. It can adjust the network-side configuration of FR fast return B1 threshold TH2, etc., thereby effectively ensuring user experience and improving network service quality.

[0088] In other words, in the case of weak coverage, the above method may also include the following steps:

[0089] 4G fallback frequency points are selected based on stored information;

[0090] The 4G fallback frequency point is informed to the terminal so that the terminal can initiate VoLTE voice calls on the 4G network after initiating a Tracking Area Update (TAU).

[0091] In some embodiments, this disclosure may also include the following steps:

[0092] The measurement results fed back by the receiving terminal include the SSB / CSI-RS RSRP before the call is initiated and the SSB / CSI-RS SINR of the camped network quality.

[0093] Based on the measurement results, determine whether the 4G fallback frequency point is reasonable;

[0094] If the 4G fallback frequency point is unreasonable, adjust the B1 threshold of the FR fast return configuration on the network side.

[0095] It should be noted that, with the improvement of network and terminal capabilities, this disclosure can also, according to the configuration, allow the base station to instruct the terminal to select the appropriate method to complete the service through more detailed capabilities such as handover or measurement-based redirection, thereby effectively improving the user experience.

[0096] The method described in this disclosure has good scalability. After the 5G network coverage and terminal industry chain mature, it can also converge to the 5G voice transmission process such as VONR.

[0097] Furthermore, the method described in this disclosure is an implementation of the base station itself, and the signaling process interaction conforms to existing standards and does not require special standardization.

[0098] Figure 5 This diagram illustrates a parameter optimization method for speech fallback according to an embodiment of the present disclosure, as follows: Figure 5 As shown, the speech fallback parameter optimization method provided in this embodiment includes the following steps:

[0099] S501, the base station configures the A2 threshold for the terminal.

[0100] S502, the terminal initiates a call, and the base station determines whether the terminal has reported A2 and whether it is consistent with the uplink channel detection results of the terminal previously stored by the base station.

[0101] Execute S503, VONR call without reporting A2.

[0102] If A2 has been reported, the S504 base station will combine the feedback from the previous reconnection of the terminal to the 5G network to determine whether the threshold is reasonable and whether there is weak coverage.

[0103] When the threshold is unreasonable, S505 adjusts the A2 threshold and then switches to S501.

[0104] In cases of weak coverage, the S506 enters EPS Fallback voice call mode.

[0105] S507: The base station selects a 4G fallback frequency point based on the stored information and informs the terminal.

[0106] S508, initiates the TAU process.

[0107] S509, the terminal initiates VoLTE voice calls on the 4G network.

[0108] S510, the call ends, the terminal returns to the 5G network, and feeds back the previously recorded information to the 5G base station.

[0109] S511, the base station determines whether the fast return parameters are reasonable.

[0110] If the condition is unreasonable, S512 adjusts the FR parameter and switches to S507.

[0111] The process ends when appropriate.

[0112] In this embodiment, the 5G base station that initiates the call combines previously stored information, including information fed back to the network after the previous voice call ends and the terminal reconnects to the 5G network, to determine whether the fallback frequency configuration is reasonable. Based on the previously stored information and the information fed back to the network by the terminal, the 5G base station adjusts the relevant parameter configurations, such as adjusting the threshold for fast FR return on the network side, thereby effectively ensuring user experience and improving network service quality.

[0113] Based on the same inventive concept, this disclosure also provides a parameter optimization method for voice fallback, applied to a base station, such as... Figure 6 As shown, the speech fallback parameter optimization method provided in this embodiment includes the following steps:

[0114] S602, Receive a voice call request from a terminal, the voice call request including the terminal's identifier;

[0115] S604, based on the terminal's identifier, determines whether the terminal has reported weak field call A2;

[0116] S606, if the terminal has reported weak field call A2 and the uplink channel detection result of the terminal is received, the base station determines whether the weak field call A2 threshold set by the base station is reasonable, and determines whether the terminal is in weak coverage, by combining the uplink channel detection result of the terminal and the measurement result fed back after the terminal re-accesses the 5G network.

[0117] S608, when the weak field call A2 threshold set by the base station is unreasonable and / or the terminal is in a weak coverage situation, reset the weak field call A2 threshold of the terminal.

[0118] In some embodiments, voice calls are made via VONR service when the terminal has not reported weak field call A2.

[0119] In some embodiments, voice calls are made via EPS Fallback service in cases of weak coverage.

[0120] In some embodiments, in the case of weak coverage, the method further includes:

[0121] 4G fallback frequency points are selected based on stored information;

[0122] The 4G fallback frequency point is informed to the terminal so that the terminal can initiate VoLTE voice calls on the 4G network after initiating a Tracking Area Update (TAU).

[0123] In some embodiments, the method further includes:

[0124] The measurement results fed back by the receiving terminal include the SSB / CSI-RS RSRP before the call is initiated and the SSB / CSI-RS SINR of the camped network quality.

[0125] Based on the measurement results, determine whether the 4G fallback frequency point is reasonable;

[0126] If the 4G fallback frequency point is unreasonable, adjust the B1 threshold of the FR fast return configuration on the network side.

[0127] In some embodiments, before S602 receives a voice call request from the terminal, the method further includes:

[0128] When a terminal initially connects, a weak field call A2 threshold is configured for the terminal. The weak field call A2 threshold is higher than the data service A2 threshold.

[0129] In some embodiments, the terminal uplink channel detection results in S606 include the sounding reference signal (SRS), the reference signal received power (RSRP) and signal-to-interference-plus-noise ratio (SINR) of the physical uplink shared channel (PUSCH), and the RSRP and SINR of the physical uplink control channel (PUCCH).

[0130] In this embodiment of the disclosure, during the weak field VONR call initiation process, the base station can perform self-optimization of the VONR parameter configuration; 2. The initiating 5G base station can receive the UE-related uplink detection results on the designated resources and adaptively adjust the A2 parameter in conjunction with the measurement events previously reported by the terminal; 3. Weak field does not necessarily require fallback. Combining the information stored by the 5G base station and the information fed back to the network after the terminal reconnected to the 5G network in the previous period, the initiating 5G base station can comprehensively judge whether the terminal fallback is reasonable and flexibly make a judgment on whether to fall back to 4G or VONR.

[0131] Furthermore, the method described in this disclosure has good scalability; once the network and terminals mature, it can also converge to 5G voice transport processes such as VONR. The method described in this disclosure is an implementation specific to the base station itself, and the signaling process interaction conforms to existing standards, requiring no special standardization.

[0132] Based on the same inventive concept, this disclosure also provides a parameter optimization device for voice fallback, as described in the following embodiments. Since the principle by which this device solves the problem is similar to that of the method embodiments described above, the implementation of this device embodiment can refer to the implementation of the method embodiments described above, and repeated details will not be elaborated further.

[0133] Figure 7 This invention discloses a parameter optimization device for voice fallback in an embodiment of the present disclosure, applied to a base station, such as... Figure 7 As shown, the speech fallback parameter optimization device 700 includes:

[0134] The request receiving module 702 is used to receive a voice call request from a terminal, wherein the voice call request includes the terminal's identifier;

[0135] The first judgment module 704 is used to determine whether the terminal has reported weak field call A2 based on the terminal's identifier.

[0136] The second judgment module 706 is used to determine whether the weak field call A2 threshold set by the base station is reasonable and whether the terminal is in weak coverage when the terminal has reported weak field call A2 and the uplink channel detection result of the terminal is received, in combination with the uplink channel detection result of the terminal and the measurement result fed back after the terminal re-accessed the 5G network.

[0137] The parameter optimization module 708 is used to reset the weak field call A2 threshold of the terminal when the weak field call A2 threshold set by the base station is unreasonable and / or the terminal is in a weak coverage situation.

[0138] In some embodiments, voice calls are made via VONR service when the terminal has not reported weak field call A2.

[0139] In some embodiments, voice calls are made via EPS Fallback service in cases of weak coverage.

[0140] In some embodiments, the voice fallback parameter optimization device 700 may further include:

[0141] The fallback frequency selection module is used to select 4G fallback frequencies based on stored information in the case of weak coverage.

[0142] The notification module is used to inform the terminal of the 4G fallback frequency point so that the terminal can initiate VoLTE voice calls on the 4G network after initiating a Tracking Area Update (TAU).

[0143] In some embodiments, the voice fallback parameter optimization device 700 may further include:

[0144] The information receiving module is used to receive measurement results fed back by the terminal. The measurement results include the SSB / CSI-RS RSRP before the call is initiated and the SSB / CSI-RS SINR of the camped network quality.

[0145] The third judgment module is used to determine whether the 4G fallback frequency point is reasonable based on the measurement results;

[0146] The second optimization module is used to adjust the B1 threshold of the FR fast return configuration on the network side when the 4G fallback frequency point is unreasonable.

[0147] In some embodiments, the voice fallback parameter optimization device 700 may further include:

[0148] The threshold configuration module is used to configure the weak field call A2 threshold for the terminal during the initial access of the terminal before receiving the terminal's voice call request. The weak field call A2 threshold is higher than the data service A2 threshold.

[0149] In some embodiments, the terminal uplink channel detection results include the sounding reference signal (SRS), the reference signal received power (RSRP) and signal-to-interference-plus-noise ratio (SINR) of the physical uplink shared channel (PUSCH), and the RSRP and SINR of the physical uplink control channel (PUCCH).

[0150] The speech fallback parameter optimization device provided in this application embodiment can be used to execute the speech fallback parameter optimization methods provided in the above method embodiments. Its implementation principle and technical effect are similar, and will not be described in detail here for the sake of brevity.

[0151] Those skilled in the art will understand that various aspects of this disclosure can be implemented as a system, method, or program product. Therefore, various aspects of this disclosure can be specifically implemented in the following forms: a completely hardware implementation, a completely software implementation (including firmware, microcode, etc.), or a combination of hardware and software aspects, collectively referred to herein as a "circuit," "module," or "system."

[0152] The following reference Figure 8 To describe an electronic device 800 according to such an embodiment of the present disclosure. Figure 8 The electronic device 800 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments disclosed herein.

[0153] like Figure 8 As shown, the electronic device 800 is manifested in the form of a general-purpose computing device. The components of the electronic device 800 may include, but are not limited to: at least one processing unit 810, at least one storage unit 820, and a bus 830 connecting different system components (including storage unit 820 and processing unit 810).

[0154] The storage unit stores program code that can be executed by the processing unit 810, causing the processing unit 810 to perform the steps described in the "Exemplary Methods" section of this specification according to various exemplary embodiments of this disclosure. For example, the processing unit 810 can perform the following steps of the above method embodiments:

[0155] The receiving terminal sends a voice call request, which includes the terminal's identifier.

[0156] Based on the terminal's identifier, determine whether the terminal has reported weak field call A2;

[0157] If the terminal has reported weak field call A2 and the uplink channel detection result of the terminal is received, the base station determines whether the weak field call A2 threshold set by the base station is reasonable, and determines whether the terminal is in weak coverage, by combining the uplink channel detection result of the terminal and the measurement result fed back after the terminal re-accesses the 5G network.

[0158] If the weak field call A2 threshold set by the base station is unreasonable and / or the terminal is in a weak coverage situation, reset the weak field call A2 threshold of the terminal.

[0159] Storage unit 820 may include a readable medium in the form of a volatile storage unit, such as random access memory (RAM) 8201 and / or cache memory 8202, and may further include a read-only memory (ROM) 8203.

[0160] The storage unit 820 may also include a program / utility 8204 having a set (at least one) of program modules 8205, including but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment.

[0161] Bus 830 can represent one or more of several types of bus structures, including a memory cell bus or memory cell controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any of the various bus structures.

[0162] Electronic device 800 can also communicate with one or more external devices 840 (e.g., keyboard, pointing device, Bluetooth device, etc.), and with one or more devices that enable a user to interact with electronic device 800, and / or with any device that enables electronic device 800 to communicate with one or more other computing devices (e.g., router, modem, etc.). Such communication can be performed through input / output (I / O) interface 850.

[0163] Furthermore, the electronic device 800 can also communicate with one or more networks (such as local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via the network adapter 860.

[0164] like Figure 8 As shown, the network adapter 860 communicates with other modules of the electronic device 800 via the bus 830.

[0165] It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 800, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0166] From the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of this disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, terminal device, or network device, etc.) to execute the methods according to the embodiments of this disclosure.

[0167] In exemplary embodiments of this disclosure, a computer-readable storage medium is also provided, which may be a readable signal medium or a readable storage medium. A program product capable of implementing the methods described above is stored thereon.

[0168] In some possible implementations, various aspects of this disclosure may also be implemented as a program product comprising program code that, when run on a terminal device, causes the terminal device to perform the steps described in the “Exemplary Methods” section of this specification according to various exemplary embodiments of this disclosure.

[0169] More specific examples of computer-readable storage media in this disclosure may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0170] In this disclosure, a computer-readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, wherein readable program code is carried.

[0171] The transmitted data signal can take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof.

[0172] A readable signal medium can also be any readable medium other than a readable storage medium, which can send, propagate or transmit a program for use by or in connection with an instruction execution system, apparatus or device.

[0173] In some examples, program code contained on a computer-readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, RF, etc., or any suitable combination thereof.

[0174] In practice, program code for performing the operations of this disclosure can be written using any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as the "C" language or similar programming languages.

[0175] The program code can be executed entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0176] In cases involving remote computing devices, the remote computing devices can be connected to user computing devices via any type of network, including local area networks (LANs) or wide area networks (WANs), or they can be connected to external computing devices (e.g., via the Internet using an Internet service provider).

[0177] It should be noted that although several modules or units of the device used for action execution are mentioned in the detailed description above, this division is not mandatory.

[0178] In fact, according to embodiments of this disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0179] Furthermore, although the steps of the method in this disclosure are described in a specific order in the accompanying drawings, this does not require or imply that the steps must be performed in that specific order, or that all the steps shown must be performed to achieve the desired result. Additional or alternative steps may be omitted, multiple steps may be combined into one step, and / or a step may be broken down into multiple steps.

[0180] From the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware.

[0181] Therefore, the technical solution according to the embodiments of this disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, mobile hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, mobile terminal, or network device, etc.) to execute the method according to the embodiments of this disclosure.

[0182] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein.

[0183] This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the appended claims.

Claims

1. A method for optimizing parameters of voice fallback, characterized in that, Applied to a base station, the method comprises: Receiving a voice call request of a terminal, wherein the voice call request comprises an identifier of the terminal; Based on the identifier of the terminal, determining whether the terminal has reported weak field call A2; In the case that the terminal has reported weak field call A2 and the terminal uplink channel detection result is received, combining the terminal uplink channel detection result and the measurement result fed back by the terminal after re-accessing to the 5G network, determining whether the weak field call A2 threshold set by the base station is reasonable, and determining whether the terminal is in weak coverage; In the case that the weak field call A2 threshold set by the base station is unreasonable and / or the terminal is in weak coverage, resetting the weak field call A2 threshold of the terminal.

2. The method of claim 1, wherein, In the case that the terminal has not reported weak field call A2, performing voice call through VONR service.

3. The method of claim 1, wherein, In the case of weak coverage, performing voice call through EPS Fallback service.

4. The method of claim 3, wherein, In the case of weak coverage, the method further comprises: Selecting a 4G fallback frequency point based on the stored information; Informing the terminal of the 4G fallback frequency point, so that the terminal initiates tracking area update (TAU) and initiates VoLTE voice in the 4G network.

5. The method of claim 4, wherein, The method further comprises: Receiving the measurement result fed back by the terminal, wherein the measurement result comprises SSB / CSI-RS RSRP before call and network quality SSB / CSI-RS SINR; Based on the measurement result, determining whether the 4G fallback frequency point is reasonable; In the case that the 4G fallback frequency point is unreasonable, adjusting the B1 threshold of network side configuration FR fast return.

6. The method of claim 1, wherein, Before receiving the voice call request of the terminal, the method further comprises: When the terminal initially accesses, configuring the terminal with a weak field call A2 threshold, wherein the weak field call A2 threshold is higher than the A2 threshold of data service.

7. The method of claim 1, wherein, The terminal uplink channel detection result comprises the reference signal received power (RSRP) and signal to interference plus noise ratio (SINR) of sounding reference signal (SRS) and physical uplink shared channel (PUSCH), and the RSRP and SINR of physical uplink control channel (PUCCH).

8. A parameter optimization apparatus for voice fallback, characterized by, Applied to a base station, the device comprises: A request receiving module, configured to receive a voice call request of a terminal, wherein the voice call request comprises an identifier of the terminal; A first determining module, configured to determine, based on the identifier of the terminal, whether the terminal has reported weak field call A2; A second determining module, configured to, in the case that the terminal has reported weak field call A2 and the terminal uplink channel detection result is received, combine the terminal uplink channel detection result and the measurement result fed back by the terminal after re-accessing to the 5G network, determine whether the weak field call A2 threshold set by the base station is reasonable, and determine whether the terminal is in weak coverage; A parameter optimization module, configured to, in the case that the weak field call A2 threshold set by the base station is unreasonable and / or the terminal is in weak coverage, reset the weak field call A2 threshold of the terminal.

9. An electronic device, comprising: Comprise: A processor; And A memory for storing executable instructions of the processor; The processor is configured to execute the speech fallback parameter optimization method according to any one of claims 1-7 by executing the executable instructions.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, When the computer program is executed by the processor, it implements the parameter optimization method for speech fallback as described in any one of claims 1-7.