CN117202220A

CN117202220A - Parameter optimization method, device, equipment and medium for voice fallback

Info

Publication number: CN117202220A
Application number: CN202210603361.XA
Authority: CN
Inventors: 宋谱; 许森; 李健全; 朱立雷
Original assignee: China Telecom Corp Ltd
Current assignee: China Telecom Corp Ltd
Priority date: 2022-05-30
Filing date: 2022-05-30
Publication date: 2023-12-08

Abstract

The disclosure provides a parameter optimization method, device, equipment and medium for voice fallback, and relates to the technical field of communication. The method comprises the following steps: the base station receives a voice call request of the terminal, wherein the voice call request comprises an identifier of the terminal; judging whether the terminal reports a weak-field origination call A2 or not based on the identification of the terminal; under the condition that the terminal reports the weak-field starting call A2 and receives the detection result of the uplink channel of the terminal, the terminal uplink channel detection result and the measurement result fed back after the terminal is re-connected to the 5G network are combined, whether the threshold of the weak-field starting call A2 set by the base station is reasonable or not is judged, and whether the terminal is in weak coverage or not is judged; and resetting the weak-field calling A2 threshold of the terminal under the condition that the weak-field calling A2 threshold set by the base station is unreasonable and/or the terminal is in weak coverage. According to the embodiment of the disclosure, the user perception can be effectively ensured, and the network service quality is improved.

Description

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

Technical Field

The disclosure relates to the technical field of communication, and in particular relates to a parameter optimization method, device, equipment and medium for voice fallback.

Background

In the scene of weak overall coverage of the 5G NR at the present stage, the problems of frequent voice disconnection and poor uplink voice quality exist, and the use perception of the VONR and the market business development are seriously affected.

At present, in partial areas, more coverage weak areas still exist, the coverage weak areas are difficult to promote in a short period, and weak field calls in partial scenes are normal in a future period of time. Therefore, how to improve the use perception of the VONR user in the weak field environment and improve the adaptability of the VONR service in the relatively weak coverage area becomes a problem to be solved.

It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.

Disclosure of Invention

The disclosure provides a parameter optimization method, device, equipment and medium for voice fallback, which at least solve the problem of how to improve the use perception of a VONR user in a weak field environment and improve the adaptability of the VONR service in a relatively weak coverage area to a certain extent.

Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.

According to one aspect of the present disclosure, there is provided a parameter optimization method for voice fallback, applied to a base station, the method including:

receiving a voice call request of a terminal, wherein the voice call request comprises an identifier of the terminal;

judging whether the terminal reports a weak-field origination call A2 or not based on the identification of the terminal;

under the condition that the terminal reports the weak-field starting call A2 and receives the detection result of the uplink channel of the terminal, the terminal uplink channel detection result and the measurement result fed back after the terminal is re-connected to the 5G network are combined, whether the threshold of the weak-field starting call A2 set by the base station is reasonable or not is judged, and whether the terminal is in weak coverage or not is judged;

and resetting the weak-field calling A2 threshold of the terminal under the condition that the weak-field calling A2 threshold set by the base station is unreasonable and/or the terminal is in weak coverage.

In one embodiment of the present disclosure, the voice call is made through the VONR service without the terminal reporting the weak origination A2.

In one embodiment of the present disclosure, a voice call is made through EPS Fallback service in case of weak coverage.

In one embodiment of the present disclosure, in the case of weak coverage, the method further comprises:

selecting a 4G fallback frequency point based on the stored information;

and informing the 4G fallback frequency point to the terminal so that the terminal initiates VoLTE voice in the 4G network after initiating tracking area updating TAU.

In one embodiment of the present disclosure, the method further comprises:

receiving a measurement result fed back by a terminal, wherein the measurement result comprises SSB/CSI-RS RSRP before starting calling and resident network quality SSB/CSI-RS SINR;

judging whether the 4G fallback frequency point is reasonable or not based on the measurement result;

and under the condition that the 4G fallback frequency point is unreasonable, adjusting and adjusting a B1 threshold for the fast return of the network side configuration FR.

In one embodiment of the present disclosure, before receiving the voice call request of the terminal, the method further includes:

when the terminal is initially accessed, a weak-field calling A2 threshold is configured for the terminal, and the weak-field calling A2 threshold is higher than the A2 threshold of the data service.

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

According to another aspect of the present disclosure, there is provided a parameter optimization apparatus for voice fallback, applied to a base station, the apparatus comprising:

the request receiving module is used for receiving a voice call request of the terminal, wherein the voice call request comprises an identifier of the terminal;

the first judging module is used for judging whether the terminal reports the weak-field calling A2 or not based on the identification of the terminal;

the second judging module is used for judging whether the threshold of the weak-field starting call A2 set by the base station is reasonable or not and judging whether the terminal is in weak coverage or not according to the detection result of the uplink channel of the terminal and the measurement result fed back after the terminal is re-connected to the 5G network in advance under the condition that the terminal reports the weak-field starting call A2 and the detection result of the uplink channel of the terminal is received;

and the parameter optimization module is used for resetting the weak-field calling A2 threshold of the terminal under the condition that the weak-field calling A2 threshold set by the base station is unreasonable and/or the terminal is in weak coverage.

According to still another aspect of the present disclosure, there is provided an electronic apparatus including: 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 of speech fallback via execution of the executable instructions.

According to yet another aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described parameter optimization method of speech fallback.

According to the voice fallback parameter optimization method, device, equipment and medium provided by the embodiment of the disclosure, after receiving a voice call request of a terminal, a base station judges whether the terminal reports a weak-field call A2, and under the condition that the terminal reports the weak-field call A2 and receives a terminal uplink channel detection result, the base station judges whether a weak-field call A2 threshold set by the base station is reasonable or not and judges whether the terminal is in weak coverage or not by combining the terminal uplink channel detection result and a measurement result fed back after a terminal is re-connected to a 5G network; and resetting the weak-field calling A2 threshold of the terminal under the condition that the weak-field calling A2 threshold set by the base station is unreasonable and/or the terminal is in weak coverage, and optimizing the A2 threshold parameter configuration. Furthermore, the terminal can flexibly select VONR service or EPS Fallback service to carry out voice call based on self network quality and the like, thereby effectively improving call completing rate, reducing call dropping rate and improving user perception.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.

Fig. 1 shows a schematic structure of a VoNR (SA networking) in the related art;

fig. 2 shows a schematic flow diagram of a weak-field originating EPS Fallback in the related art;

FIG. 3 is a flow chart of a method for optimizing parameters of voice fallback in an embodiment of the disclosure;

FIG. 4 is a flow chart of another method for optimizing parameters for speech fallback in an embodiment of the present disclosure;

FIG. 5 is a flow chart of a method for optimizing parameters for a further voice fallback in an embodiment of the disclosure;

FIG. 6 is a flow chart of another method for optimizing parameters for speech fallback in an embodiment of the present disclosure;

FIG. 7 is a schematic diagram of a parameter optimization apparatus for speech fallback in an embodiment of the disclosure;

fig. 8 shows a block diagram of an electronic device in an embodiment of the disclosure.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example 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.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.

It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.

It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.

It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.

For ease of understanding, the following description first refers to the related art and terms related to this disclosure as follows:

VoLTE (Voice over LTE) refers to the LTE network directly providing voice over IP services by introducing IMS. VoLTE is also known as VoIP managed by IMS, carried over a 4G LTE network.

VoLTE encapsulates voice service into IP data packets to be transmitted like express packaging, and exclusive resources are not needed, so that network efficiency is greatly improved. More importantly, voLTE has historically improved voice quality and reduced call setup time.

The VoLTE adopts an AMR-WB (Adaptive Multi-rate-Wideband) voice coding technology, compared with the 2G and 3G times, the method greatly improves the coding rate, and improves the voice bandwidth range from 300Hz-3400Hz to 50Hz-7000Hz, thereby providing clearer tone quality, wider voice range and enabling the voice quality of a mobile network to be compared with the experience of listening to a radio for the first time. When dialing, the 3G network is connected in about 6-8 seconds, while VoLTE only takes about 2-3 seconds to connect.

Under SA networking, the 5G network has its own core network 5GC, and no longer relies on 4G as a control network, which means that 5G Voice traffic, i.e. VoNR (Voice over NR) or Vo5G (Voice over 5 GS), can be carried through 5G NR, 5GC and IMS end-to-end independently.

However, in early deployment of 5G SA, considering that the 5G NR network does not form continuous wide coverage yet, when the mobile phone moves out of the 5G NR coverage area, the ongoing VoNR voice is frequently switched to a VoLTE network with better coverage, which results in poor user experience. Therefore, a transition scheme, EPS Fallback, was introduced early in 5G deployment.

Similar to CS Fallback in the 4G era, under the EPS Fallback scheme, the 5G network does not provide PS voice service, and when the handset attempts to use voice service in the 5G network, the handset falls back to the 4G network in a redirection or handover manner, and the 4G network provides VoLTE voice service, and returns to the 5G network after the call ends. During the call, data traffic is also forced to pass through the 4G LTE transmission with voice traffic as the handset has fallen back to the 4G network until the call ends.

Fig. 1 shows a schematic diagram of a VoNR (SA networking). VoNR may be the end-to-end carrying of voice traffic by 5G NR, 5G Core and IMS. Strictly speaking, NR is only the radio access network part of a 5G network, whereas 5GS (5G System) contains 5G NR and 5G Core, so VoNR is called Vo5G (Voice over 5 GS) more accurate. However, we generally speak of VoNR as Vo5G.

The advantages of VoNR over EPS Fallback are self-evident, firstly, the call setup time is shorter without falling back to VoLTE; and secondly, 5G voice and 5G data services are supported concurrently, that is, we can make a call while surfing the Internet at high speed.

Considering that poor VoNR voice quality and even dropped call are caused when a mobile phone moves to the coverage edge of a 5G cell, in order to ensure the continuity of a voice call, an ongoing VoNR call needs to be switched to 4G VoLTE, so similar to the SRVCC scheme in the 4G era, the VoNR scheme also supports smooth switching between VoNR and VoLTE through an Inter-RAT handover mechanism.

The 5G voice scheme is designed to continue the manner in which the 4G network VoLTE carries voice traffic through the 5G network (wireless network+core network) and IMS system, referred to as VoNR (Voice over NR). Due to the limitation of industrial factors such as chips and terminals, an EPS Fallback scheme (EPS voice Fallback) is considered in the early stage of 5G networking, and the industrial chain is transited to a VoNR scheme after being mature.

The weak-field originating EPS Fallback refers to that in the initial stage of VONR deployment, in an area with imperfect 5G coverage, a user directly initiates a VONR call and drops, so that the perception of the user is poor, and the user can directly fall back to 4G originating EPS Fallback. After the voice service is finished, the original 5G cell is still in. The flow of the existing weak-field originating EPS Fallback is shown in figure 2.

The inventor finds that in the initial stage of network deployment, in the weak-field VONR initiation flow shown in fig. 2, the relevant parameters of the base station configured for VONR or VOLTE are not necessarily reasonable, for example, whether the threshold of the A2 parameter configuration is too high or too low; whether the configured fallback 4G frequency point is reasonable or not, for example, whether the original 4G frequency point can bear load or not along with the increase of the number of fallback users or whether adjustment or optimization is needed or not.

In the scene of weak overall coverage of NR at the present stage, the problems of frequent voice disconnection and poor uplink voice quality exist, and the use perception of the VONR and the development of market business are seriously affected.

Although in some critical hot spot areas, NR MR coverage has reached more than 95%, there are still more coverage weak areas in villages in cities and parts of indoor scenes, and it is difficult to promote in a short period of time, and weak field calls in part of the scenes will be normal in a future period of time, compared to the higher traffic level requirements of VONR traffic. How to improve the use perception of the VONR user in a weak field environment and improve the adaptability of the VONR service in a relatively weak coverage area becomes a problem to be solved urgently.

Based on the findings of the inventor, the disclosure provides a method, a device, equipment and a medium for optimizing parameters of voice fallback, which automatically optimize parameter configuration, namely, adjust related parameter configuration through measurement results recorded by a base station and a terminal, thereby effectively guaranteeing user perception and improving network service quality.

The present exemplary embodiment will be described in detail below with reference to the accompanying drawings and examples.

Fig. 3 shows a flowchart of a method for optimizing parameters of voice fallback in an embodiment of the present disclosure, and as shown in fig. 3, the method for optimizing parameters of voice fallback provided in the embodiment of the present disclosure includes the following steps:

s302, a base station receives a voice call request of a terminal, wherein the voice call request comprises an identifier of the terminal;

s304, judging whether the terminal reports the weak-field origination A2 or not based on the identification of the terminal;

s306, under the condition that the terminal reports the weak-field calling A2 and receives the detection result of the uplink channel of the terminal, the detection result of the uplink channel of the terminal and the measurement result fed back after the terminal is re-connected to the 5G network in advance are combined, whether the threshold of the weak-field calling A2 set by the base station is reasonable or not is judged, and whether the terminal is in weak coverage or not is judged;

s308, resetting the weak-field calling A2 threshold of the terminal under the condition that the weak-field calling A2 threshold set by the base station is unreasonable and/or the terminal is in weak coverage.

In some embodiments, the voice call is made through the VONR service without the terminal reporting the low-field origination A2.

In some embodiments, in case of weak coverage, the voice call is made through EPS Fallback service.

When the terminal is in a weak coverage scene, if the A2 threshold or 4G fallback frequency point parameter is unreasonably set, the VONR call completing rate is obviously reduced, the perception of a user is affected, and the voice quality of using the VOLTE in a 5G weak coverage place is stable.

In the embodiment of the disclosure, when the terminal is in a low-level, the parameter configuration can be optimized and adjusted through the steps, so that the terminal can flexibly select VONR or EPS fallback to fall back to 4G to initiate VOLTE call based on network quality and the like, the call completing rate can be effectively improved, the call dropping rate can be reduced, the MOS value can be improved, and the overall effect can be effectively improved for user perception.

Fig. 4 is a flowchart illustrating a method for optimizing parameters of voice fallback in the embodiment of the present disclosure, and the method for optimizing parameters of voice fallback in fig. 4 is similar to the method in fig. 3. Based on the method shown in fig. 3, the method shown in fig. 4 may further include, before S302 receives a voice call request from a terminal, S402 configuring a weak origination A2 threshold for the terminal when the terminal (UE) is initially accessed, where the weak origination A2 threshold is higher than an A2 threshold of a data service.

When the 5G base station is initially accessed by the terminal, a weak field A2 is configured for the terminal, and a specific threshold can be TH1.

It should be noted that, the 5G base station should configure the weak field A2 and take effect before the terminal initiates the 5QCI1, and generally, the threshold of the weak field origination A2 needs to be higher than the A2 threshold of the data service; the measurement results that the terminal needs to record at this time include RSRP before origination, quality of the resident network, and the like.

When the 5QCI1 is established, the 5G base station determines whether the terminal reports A2, and if so, the terminal is considered to be located in the 5G weak coverage area as described in S304 above.

At this time, the originating 5G base station also needs to receive the uplink detection result related to the terminal on the designated resource, where the result may include RSRP, SINR, etc. of SRS, PUSCH, and PUCCH, and record and store the result.

In S306, in combination with the detection result of the uplink channel of the terminal and the measurement result fed back after the terminal re-accesses the 5G network, it is determined whether the weak-field origination A2 threshold set by the base station is reasonable, and it is determined whether the terminal is in weak coverage. S308, resetting the weak-field calling A2 threshold of the terminal under the condition that the weak-field calling A2 threshold set by the base station is unreasonable and/or the terminal is in weak coverage.

As an example, based on a preset algorithm, the current terminal channel quality information may be formed and compared with the fallback threshold TH1 to determine whether to fall back, and the adjustment of the fallback threshold is performed by the communication effect statistics result or the channel quality statistics of 4G.

Combining the information stored by the 5G base station and the information fed back to the network after the early return terminal re-accesses the 5G network, and rejecting the 5QCI1 establishment by the 5G base station aiming at the UE in the weak coverage area.

In some embodiments, when the 5G base station receives a PDU Session Resource Modify Request message sent by the core network and requests to establish a 5Q11 voice bearer, the gNodeB carries a failure cause value INS voice EPS Fallback or RAT Fallback triggered in a PDU Session Resource Modify Response message replied to the core network, that is, refuses to establish the 5Q11 voice bearer, and enters an EPS Fallback voice call procedure.

EPS Fallback voice call, EPS Fallback to LTE in blind redirection (or measurement-based or handover) mode can be adopted;

and the terminal executes a redirection flow and accesses the 4G network according to the frequency point information in the RRC Release sent by the 5G base station.

As an example, the RRC Release information may be a list, and the terminal searches and accesses cells from high to low according to priority; the information stored in the 5G base station in the earlier stage is combined, wherein the information comprises information fed back to the network after the terminal is returned to be re-connected to the 5G network after the earlier stage voice is finished, the 5G base station can judge whether the 4G frequency point information is reasonable or not, and if the fallen 4G frequency point is busy, the priority list of the 4G frequency point needs to be considered and adjusted at the moment.

After the 4G network is accessed, a TAU flow is initiated between the terminal and the EPC, and for a redirection scene with an N26 interface, a TAU process can be initiated at the moment, and for a redirection scene without an N26 interface, a re-attach process can be required to be initiated.

After the terminal falls back to the EPS network, the EPC triggers the IMS voice special bearing creation flow.

After the voice service is finished, the UE still returns to the original 5G cell, after the terminal is re-connected to the 5G network, the information recorded before is fed back to the network, the 5G base station adjusts the relevant parameter configuration based on the information stored in the front stage and the information fed back to the network by the terminal, and the B1 threshold TH2 and the like which are quickly returned by the configuration FR of the network side can be adjusted, so that the user perception is effectively ensured, and the service quality of the network is improved.

That is, in the case of weak coverage, the above method may further include the steps of:

selecting a 4G fallback frequency point based on the stored information;

In some embodiments, the present disclosure may further include the steps of:

It should be noted that, along with the improvement of the network and terminal capabilities, the present disclosure may also instruct the terminal to select a suitable manner to complete the service by switching or redirecting based on measurement according to the configuration situation, thereby effectively improving the user experience.

The method has good expansibility, and can also converge to the flow of 5G bearing voice such as VONR after the 5G network coverage and the terminal industry chain are mature.

In addition, the method disclosed by the disclosure belongs to the realization of the base station, the interaction of the signaling flow accords with the existing standard, and no special standardization is needed.

Fig. 5 shows a flowchart of a method for optimizing parameters of voice fallback in an embodiment of the present disclosure, and as shown in fig. 5, the method for optimizing parameters of voice fallback provided in the embodiment of the present disclosure includes the following steps:

s501, the base station configures an A2 threshold for the terminal.

S502, the terminal initiates a call, and the base station judges whether the terminal reports A2 or not and is consistent with the detection result of the uplink channel of the terminal stored in the base station in the earlier stage.

If A2 is not reported, S503 is executed, and the VONR call is performed.

And under the condition that A2 is reported, executing S504, and combining feedback after the terminal is re-accessed to the 5G network by the base station, and judging whether the threshold is reasonable and whether the threshold is in weak coverage.

When the threshold is not reasonable, S505 adjusts the A2 threshold, and then proceeds to S501.

At weak coverage, S506 enters an EPS Fallback voice call.

S507, the base station selects a 4G fallback frequency point based on the stored information and informs the terminal.

S508, initiating a TAU process.

S509, the terminal initiates VoLTE voice in the 4G network.

And S510, after the call is ended, the terminal returns to the 5G network and feeds back the information recorded before to the 5G base station.

S511, the base station judges whether the quick return parameters are reasonable.

If not, the step S512 adjusts the FR parameter, and the process proceeds to step S507.

And when reasonable, ending the flow.

According to the embodiment of the disclosure, the calling 5G base station combines the information stored in the earlier stage, including the information fed back to the network after the terminal is re-connected to the 5G network after the earlier stage voice is finished, and the 5G base station can judge whether the configuration of the fallback frequency point is reasonable or not; the 5G base station adjusts the related parameter configuration based on the information stored in the early stage and the information fed back to the network by the terminal, and can adjust the threshold and the like for the quick return of the configuration FR of the network side, thereby effectively guaranteeing the perception of users and improving the service quality of the network.

Based on the same inventive concept, the embodiment of the disclosure further provides a parameter optimization method for voice fallback, which is applied to a base station, as shown in fig. 6, and includes the following steps:

s602, receiving a voice call request of a terminal, wherein the voice call request comprises an identifier of the terminal;

s604, judging whether the terminal reports a weak-field origination A2 based on the identification of the terminal;

s606, under the condition that the terminal reports the weak-field calling A2 and receives the detection result of the uplink channel of the terminal, the detection result of the uplink channel of the terminal and the measurement result fed back after the terminal is re-connected to the 5G network in advance are combined, whether the threshold of the weak-field calling A2 set by the base station is reasonable or not is judged, and whether the terminal is in weak coverage or not is judged;

s608, resetting the weak-field calling A2 threshold of the terminal under the condition that the weak-field calling A2 threshold set by the base station is unreasonable and/or the terminal is in weak coverage.

In some embodiments, in the case of weak coverage, the method further comprises:

selecting a 4G fallback frequency point based on the stored information;

In some embodiments, the method further comprises:

In some embodiments, before S602 receives the voice call request of the terminal, the method further includes:

In some embodiments, the detection results of the terminal uplink channel in S606 include the sounding reference signal SRS, the reference signal received power RSRP and the 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.

In the embodiment of the disclosure, in a weak-field VONR initiation flow, a base station can perform self-optimization aiming at VONR parameter configuration; the 2-calling 5G base station can receive the uplink detection result related to the UE on the appointed resource, and adaptively adjust the A2 parameter by combining the measurement event reported by the previous terminal; the 3 weak field does not need to fall back, and the initial call 5G base station can comprehensively judge whether the terminal falls back reasonably or not and flexibly judge whether the terminal falls back to 4G by combining the information stored by the 5G base station and the information fed back to the network after the early return terminal is re-connected to the 5G network.

In addition, the method disclosed by the application has good expansibility, and after the network and the terminal are mature, the flow of 5G bearing voice such as VONR can be converged. The method disclosed by the disclosure belongs to the realization of the base station, the interaction of the signaling flow accords with the existing standard, and no special standardization is needed.

Based on the same inventive concept, the embodiments of the present disclosure also provide a parameter optimization device for voice fallback, as described in the following embodiments. Since the principle of solving the problem of the embodiment of the device is similar to that of the embodiment of the method, the implementation of the embodiment of the device can be referred to the implementation of the embodiment of the method, and the repetition is omitted.

Fig. 7 shows a parameter optimization apparatus for voice fallback in an embodiment of the present disclosure, which is applied to a base station, and as shown in fig. 7, the parameter optimization apparatus 700 for voice fallback includes:

a request receiving module 702, configured to receive a voice call request of a terminal, where the voice call request includes an identifier of the terminal;

a first judging module 704, configured to judge, based on the identifier of the terminal, whether the terminal reports a weak-field origination A2;

a second judging module 706, configured to, when the terminal reports the weak-field origination A2 and receives the detection result of the uplink channel of the terminal, judge whether the threshold of the weak-field origination A2 set by the base station is reasonable by combining the detection result of the uplink channel of the terminal and the measurement result fed back after the terminal is re-connected to the 5G network, and judge whether the terminal is in weak coverage;

and the parameter optimization module 708 is configured to reset the weak-field origination A2 threshold of the terminal in the case that the weak-field origination A2 threshold set by the base station is unreasonable and/or the terminal is in weak coverage.

In some embodiments, the parameter optimization apparatus 700 for voice fallback may further include:

the fallback frequency point selection module is used for selecting a 4G fallback frequency point based on the stored information under the condition of weak coverage;

and the notification module is used for notifying the 4G fallback frequency point to the terminal so that the terminal initiates VoLTE voice in the 4G network after initiating tracking area updating TAU.

the information receiving module is used for receiving a measurement result fed back by the terminal, wherein the measurement result comprises SSB/CSI-RS RSRP before starting call and resident network quality SSB/CSI-RS SINR;

the third judging module is used for judging whether the 4G fallback frequency point is reasonable or not based on the measurement result;

and the second optimization module is used for adjusting and adjusting a B1 threshold for quickly returning the network side configuration FR under the condition that the 4G fallback frequency point is unreasonable.

the threshold configuration module is used for configuring a weak-field calling A2 threshold for the terminal when the terminal is initially accessed before receiving the voice call request of the terminal, wherein the weak-field calling A2 threshold is higher than the A2 threshold of the data service.

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

The parameter optimization device for voice fallback provided by the embodiment of the application can be used for executing the parameter optimization method for voice fallback provided by the embodiments of the methods, and has similar implementation principle and technical effects, and is not repeated here for the sake of brevity.

Those skilled in the art will appreciate that the various aspects of the present disclosure may be implemented as a system, method, or program product. Accordingly, various aspects of the disclosure may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.

An electronic device 800 according to such an embodiment of the present disclosure is described below with reference to fig. 8. The electronic device 800 shown in fig. 8 is merely an example and should not be construed to limit the functionality and scope of use of embodiments of the present disclosure in any way.

As shown in fig. 8, the electronic device 800 is embodied in the form of a general purpose computing device. Components of electronic device 800 may include, but are not limited to: the at least one processing unit 810, the at least one memory unit 820, and a bus 830 connecting the various system components, including the memory unit 820 and the processing unit 810.

Wherein the storage unit stores program code that is executable by the processing unit 810 such that the processing unit 810 performs steps according to various exemplary embodiments of the present disclosure described in the above section of the present specification. For example, the processing unit 810 may perform the following steps of the method embodiment described above:

The storage unit 820 may include readable media in the form of volatile storage units, such as Random Access Memory (RAM) 8201 and/or cache memory 8202, and may further include Read Only Memory (ROM) 8203.

Storage unit 820 may also include a program/utility 8204 having a set (at least one) of program modules 8205, such 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 which may include an implementation of a network environment.

Bus 830 may be one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

The electronic device 800 may also communicate with one or more external devices 840 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 800, and/or any device (e.g., router, modem, etc.) that enables the electronic device 800 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 850.

Also, electronic device 800 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 860.

As shown in fig. 8, network adapter 860 communicates with other modules of electronic device 800 over bus 830.

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

From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.

In an exemplary embodiment of the present disclosure, a computer-readable storage medium, which may be a readable signal medium or a readable storage medium, is also provided. On which a program product is stored which enables the implementation of the method described above of the present disclosure.

In some possible implementations, various aspects of the disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the disclosure as described in the "exemplary methods" section of this specification, when the program product is run on the terminal device.

More specific examples of the computer readable storage medium in the present disclosure may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

In this disclosure, a computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein.

Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing.

A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

In some examples, program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

In particular implementations, the program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages.

The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server.

In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

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

Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.

Furthermore, although the steps of the methods in the present disclosure are depicted in a particular order in the drawings, this does not require or imply that the steps must be performed in that particular order or that all illustrated steps be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.

From the description of the above embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware.

Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a mobile terminal, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein.

This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims

1. A method for optimizing parameters of voice fallback, which is applied to a base station, the method comprising:

under the condition that the terminal reports the weak-field calling A2 and receives the detection result of the uplink channel of the terminal, the terminal is combined with the detection result of the uplink channel of the terminal and the measurement result fed back after the terminal is re-connected to the 5G network, whether the threshold of the weak-field calling A2 set by the base station is reasonable or not is judged, and whether the terminal is in weak coverage or not is judged;

2. The method of claim 1, wherein the voice call is made through the VONR service without the terminal reporting the weak origination A2.

3. The method of claim 1, wherein the voice call is conducted through an EPS Fallback service in case of weak coverage.

4. A method according to claim 3, characterized in that in case of weak coverage, the method further comprises:

selecting a 4G fallback frequency point based on the stored information;

5. The method according to claim 4, wherein the method further comprises:

6. The method of claim 1, wherein prior to receiving the voice call request for the terminal, the method further comprises:

when a terminal is initially accessed, a weak-field calling A2 threshold is configured for the terminal, wherein the weak-field calling A2 threshold is higher than an A2 threshold of a data service.

7. The method of claim 1 wherein the terminal uplink channel detection results include a sounding reference signal SRS, a reference signal received power RSRP and a signal-to-interference-plus-noise ratio SINR of a physical uplink shared channel PUSCH, and an RSRP and SINR of a physical uplink control channel PUCCH.

8. A parameter optimization apparatus for voice fallback, applied to a base station, the apparatus comprising:

a request receiving module, configured to receive a voice call request of a terminal, where the voice call request includes an identifier of the terminal;

the second judging module is used for judging whether a weak-field calling A2 threshold set by a base station is reasonable or not and judging whether the terminal is in weak coverage or not according to the terminal uplink channel detection result and a measurement result fed back after the terminal is re-connected to a 5G network in advance under the condition that the terminal reports the weak-field calling A2 and the terminal uplink channel detection result is received;

9. An electronic device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the parameter optimization method of speech fallback of any of claims 1-7 via execution of the executable instructions.

10. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, implements the parameter optimization method of speech fallback according to any of the claims 1-7.