CN112637915A

CN112637915A - Parameter processing method and device

Info

Publication number: CN112637915A
Application number: CN202011517350.7A
Authority: CN
Inventors: 于洋; 张进; 杨福理; 冷俊; 张国光; 盛莉莉; 祝海亮; 吴非帆
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2020-12-21
Filing date: 2020-12-21
Publication date: 2021-04-09
Anticipated expiration: 2040-12-21
Also published as: CN112637915B

Abstract

The embodiment of the application provides a parameter processing method and a device, wherein the method comprises the following steps: and acquiring index data of at least one cell, and selecting a problem cell from the at least one cell according to the index data, wherein the index data is used for indicating the service quality of the cell. And aiming at each problem cell, acquiring the interoperation parameters of the problem cell and acquiring adjustment parameters corresponding to the interoperation parameters, wherein the adjustment parameters are used for indicating the adjustment of the interoperation parameters. And adjusting the interoperation parameters according to the adjustment parameters to obtain adjusted interoperation parameters, wherein the adjusted interoperation parameters are used for providing the adjusted interoperation parameters for the terminal equipment to execute cell switching or cell reselection. The interoperation parameters of the problem cell and the adjustment parameters corresponding to the interoperation parameters are obtained, so that the interoperation parameters are automatically adjusted according to the adjustment parameters, and the interoperation parameters can be timely and effectively adjusted.

Description

Parameter processing method and device

Technical Field

The present application relates to communications technologies, and in particular, to a parameter processing method and apparatus.

Background

During communication, the terminal device may perform cell handover and reselection based on the interoperation parameters to obtain better signal quality.

At present, in order to ensure the signal quality of a handover or reselection cell, certain adjustment is usually required to be performed on an interoperation parameter, and in the prior art, when the interoperation parameter is adjusted, related parameters of the signal quality of each cell are usually manually acquired, and according to the acquired parameters, the interoperation parameter is manually adjusted correspondingly.

However, the manual operation mode has a problem of low response timeliness, so that the terminal device cannot acquire good signal quality in time.

Disclosure of Invention

The embodiment of the application provides a parameter processing method and device, so as to solve the problem that terminal equipment cannot acquire good signal quality in time.

In a first aspect, an embodiment of the present application provides a parameter processing method, including:

acquiring index data of at least one cell, and selecting a problem cell from the at least one cell according to the index data, wherein the index data is used for indicating the service quality of the cell;

for each problem cell, obtaining an interoperation parameter of the problem cell and obtaining an adjustment parameter corresponding to the interoperation parameter, wherein the adjustment parameter is used for indicating adjustment of the interoperation parameter;

and adjusting the interoperation parameters according to the adjustment parameters to obtain adjusted interoperation parameters, wherein the adjusted interoperation parameters are used for providing the adjusted interoperation parameters for the terminal equipment to execute cell switching or cell reselection.

In one possible design, selecting a problem cell among the at least one cell based on the indicator data includes:

for each cell, acquiring a weight corresponding to each index data of the cell and a threshold value corresponding to each index data;

obtaining the score of the cell according to the weight corresponding to each index data and the threshold value corresponding to each index data;

and if the score of the cell is smaller than a preset score, determining the cell as a problem cell.

In one possible design, adjusting the interoperation parameters according to the adjustment parameters to obtain adjusted interoperation parameters includes:

and inputting the interoperation parameters into a first model to obtain adjusted interoperation parameters, wherein the first model is used for adjusting the interoperation parameters according to the adjustment parameters.

In one possible design, the tuning parameters include a parameter baseline, a single-pass step size, a tuning offset, and a tuning sequence;

the first model includes:

if the interoperability parameter is greater than the difference between the parameter baseline and the adjustment bias and the interoperability parameter is less than the sum of the parameter baseline and the adjustment bias, determining the parameter baseline as the adjusted interoperability parameter;

and if the interoperation parameter is smaller than the difference between the parameter baseline and the adjustment bias, or the interoperation parameter is larger than the sum of the parameter baseline and the adjustment bias, adjusting the interoperation parameter according to the parameter baseline, the adjustment step length and the adjustment sequence.

In one possible design, adjusting the interoperability parameters according to the parameter baseline, the adjustment step size, and the adjustment sequence includes:

and acquiring a product of the adjustment sequence and the adjustment step size, and determining the sum of the product and the parameter baseline as the adjusted interoperation parameter.

In a possible design, after the adjusting the interoperation parameters according to the adjustment parameters to obtain the adjusted interoperation parameters, the method further includes:

determining a performance index of the problem cell according to the adjusted interoperation parameter, wherein the performance index includes at least one of the following: establishing a success rate, a disconnection rate and a reconstruction rate;

judging whether each performance index is normal or not;

if any one of the performance indexes is abnormal, the adjusted interoperation parameters are adjusted to original interoperation parameters; or

And if the performance indexes are normal and the performance indexes are normal within a preset time, saving the adjusted interoperation parameters.

In one possible design, after the adjusting the adjusted interoperation parameters to the original interoperation parameters, the method further comprises:

and repeatedly executing the operation of inputting the interoperation parameters into the first model to obtain the adjusted interoperation parameters, and adding 1 to the adjustment sequence until the performance index of the problem cell is normal or until the adjustment sequence is greater than or equal to a preset value.

In one possible design, the metric data includes at least one of: the method comprises the following steps of (1) user connection number, throughput, single user rate, resource block PRB utilization rate and bandwidth;

the interoperability parameters include at least one of: a measurement threshold, a reselection threshold, and a handover parameter.

In a second aspect, an embodiment of the present application provides a parameter processing apparatus, including:

an obtaining module, configured to obtain index data of at least one cell, and select a problem cell in the at least one cell according to the index data, where the index data is used to indicate quality of service of the cell;

the acquisition module is further configured to: for each problem cell, obtaining an interoperation parameter of the problem cell and obtaining an adjustment parameter corresponding to the interoperation parameter, wherein the adjustment parameter is used for indicating adjustment of the interoperation parameter;

and the adjusting module is used for adjusting the interoperation parameters according to the adjustment parameters to obtain adjusted interoperation parameters, and the adjusted interoperation parameters are used for providing the adjusted interoperation parameters for the terminal equipment to execute cell switching or cell reselection.

In one possible design, the obtaining module is specifically configured to:

In one possible design, the adjustment module is specifically configured to:

the first model includes:

In one possible design, the adjustment module is specifically configured to:

In one possible design, the apparatus further includes: a processing module;

the processing module is configured to, after the interoperation parameters are adjusted according to the adjustment parameters to obtain adjusted interoperation parameters, determine performance indexes of the problem cell according to the adjusted interoperation parameters, where the performance indexes include at least one of the following: establishing a success rate, a disconnection rate and a reconstruction rate;

judging whether each performance index is normal or not;

In one possible design, the adjustment module is further configured to:

after the adjusted interoperation parameters are adjusted to the original interoperation parameters, repeatedly executing the operation of inputting the interoperation parameters to the first model to obtain the adjusted interoperation parameters, and adding 1 to the adjustment sequence until the performance index of the problem cell is normal, or until the adjustment sequence is greater than or equal to a preset value.

In a third aspect, an embodiment of the present application provides a parameter processing apparatus, including:

a memory for storing a program;

a processor for executing the program stored by the memory, the processor being adapted to perform the method as described above in the first aspect and any one of the various possible designs of the first aspect when the program is executed.

In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, comprising instructions which, when executed on a computer, cause the computer to perform the method as described above in the first aspect and any one of the various possible designs of the first aspect.

The embodiment of the application provides a parameter processing method and a device, wherein the method comprises the following steps: and acquiring index data of at least one cell, and selecting a problem cell from the at least one cell according to the index data, wherein the index data is used for indicating the service quality of the cell. And aiming at each problem cell, acquiring the interoperation parameters of the problem cell and acquiring adjustment parameters corresponding to the interoperation parameters, wherein the adjustment parameters are used for indicating the adjustment of the interoperation parameters. And adjusting the interoperation parameters according to the adjustment parameters to obtain adjusted interoperation parameters, wherein the adjusted interoperation parameters are used for providing the adjusted interoperation parameters for the terminal equipment to execute cell switching or cell reselection. By determining the problem cell, obtaining the interoperation parameters of the problem cell and the adjustment parameters corresponding to the interoperation parameters, the interoperation parameters are automatically adjusted according to the adjustment parameters, and therefore the interoperation parameters can be timely and effectively adjusted, and the terminal device can be effectively guaranteed to timely obtain good signal quality.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.

Fig. 1 is a schematic diagram of a communication system according to an embodiment of the present application;

fig. 2 is a flowchart of a parameter processing method according to an embodiment of the present application;

fig. 3 is a flowchart of a parameter processing method according to another embodiment of the present application;

FIG. 4 is a graphical illustration of edge rate requirements provided by an embodiment of the present application;

fig. 5 is a schematic structural diagram of a parameter processing apparatus according to an embodiment of the present application;

fig. 6 is a schematic hardware structure diagram of a parameter processing device according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

For a better understanding of the present application, reference is first made to the relevant description to which this application refers:

cell reselection: the cell reselection refers to a process of selecting a best cell to provide a service signal by monitoring signal quality of neighboring cells and a current cell when a terminal device is in an idle state (idle), wherein the cell reselection includes two processes of measurement and reselection.

Cell switching: cell handover refers to a process of channel switching that is required to maintain uninterrupted communication for a mobile user when a terminal device moves from one cell to another cell in a call state (active).

Frequency points: refers to a specific absolute frequency value, typically the center frequency of the modulated signal. The frequency points are numbers given to fixed frequencies.

Same frequency (intra-frequency): the frequency point of the adjacent cell is the same as that of the current service cell.

Inter-frequency (inter-frequency): the frequency point of the adjacent cell is different from the frequency point of the current service cell.

inter-RAT: the network standard of the adjacent cell is different from that of the current service cell.

The terminal equipment: the device can be a device which comprises a wireless transceiving function and can be matched with network equipment to provide communication services for users. In particular, a terminal device may refer to a User Equipment (UE), an access terminal, a subscriber unit, a subscriber station, a mobile station, a remote terminal, a mobile device, a User terminal, a wireless communication device, a User agent, or a User Equipment. For example, the terminal device may be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA), a handheld device with Wireless communication capability, a computing device or other processing device connected to a Wireless modem, an in-vehicle device, a wearable device, a terminal device in a future 5G network or a network after 5G, and so on.

A network device: the Network device may be a device for communicating with the terminal device, and for example, may be a Base Station (BTS) in a Global System for Mobile Communication (GSM) or Code Division Multiple Access (CDMA) Communication System, may also be a Base Station (NodeB, NB) in a Wideband Code Division Multiple Access (WCDMA) System, may also be an evolved Node B (eNB, or eNodeB) in an LTE System, or may be a Network device in a relay Station, an Access point, a vehicle-mounted device, a wearable device, and a Network-side device in a future 5G Network or a Network after 5G Network or a Network device in a future evolved Public Land Mobile Network (PLMN) Network, and the like.

The system related to the present application is described below with reference to fig. 1, and fig. 1 is a schematic diagram of a communication system according to an embodiment of the present application.

As shown in fig. 1, the current system includes a terminal device 110 and a plurality of

network devices

120 and 124, wherein it is assumed that the terminal device is currently connected to the network device 120 and operates in a serving cell 130 provided by the network device 120, and the terminal device 110 may also be in a coverage area of a group of neighboring cells 131 and 134 respectively provided by the

network device

121 and 124.

The terminal device 110 may perform cell reselection or cell handover in the adjacent cell 131-134, for example, according to a frequency point relationship between the adjacent cell and the serving cell, where the reselection may include, for example, intra-frequency reselection, inter-frequency reselection, and inter-system reselection, the measurement may include, for example, intra-frequency measurement, inter-frequency measurement, and inter-system measurement, and the handover may include, for example, intra-frequency handover, inter-frequency handover, and inter-system handover.

Taking a measurement process as an example, the following describes the intra-frequency measurement, inter-frequency measurement and inter-system measurement with reference to fig. 1, in one possible implementation manner, according to the New Radio (NR) standard of the third Generation Partnership project (3 GPP), if the center frequency of the SSB (synchronization Signal) of the indicated serving cell is the same as the center frequency of the SSB of the target cell and the subcarrier spacing of the two SSBs is the same in the NR system, the measurement may be defined as an SSB-based intra-frequency measurement, for example, the measurement of the neighboring cell 131 may be determined as an intra-frequency measurement.

Conversely, if the center frequency of the SSB of the indicated serving cell and the center frequency of the SSB of the target cell are different, the measurement may be defined as an SSB-based inter-frequency measurement, e.g., the measurement of the neighboring cell 133 may be determined as an inter-frequency measurement.

Further, referring to fig. 1, when the neighboring cell 134 implements a different RAT than the RAT of the serving cell 130, measurements made on the neighboring cell 134 may be determined to be heterogeneous measurements.

In the implementation processes of the rest of reselection and handover, the implementation manners of the same frequency, different frequency and different modes are similar, and are not described again here.

Based on the above description of fig. 1, cell reselection and cell handover will be described in further detail below.

First, cell reselection is introduced:

in an LTE system, a network device may configure priorities of different frequency points or frequency groups, may tell a terminal device in a system message by broadcasting, and may facilitate the network device to guide the terminal device to reselect a cell with a high priority to reside by configuring the priority of each frequency point, so as to achieve the purposes of balancing network load, improving resource utilization, ensuring signal quality of the terminal device, and the like, where the serving frequency point reselection priority may be broadcast in a System Information Block (SIB) 3, and the pilot frequency reselection priority may be broadcast in an SIB 5.

The cell reselection process includes two parts, namely measurement and reselection, wherein the cell reselection can include the following three types: measuring and reselecting a common-frequency cell; measuring and reselecting a pilot frequency cell; and measuring and reselecting the cell in the different modes.

1. Same frequency cell measurement and reselection

The same-frequency measurement rule is as follows:

when Srxlev of the serving cell is larger than Sintrasearch, the terminal equipment automatically determines whether to perform same-frequency measurement;

when serving cell Srxlev ≦ Sintrasearch or Sintrasearch in system message is empty, the terminal equipment must perform co-frequency measurement.

The Sintrasearch is a co-frequency measurement threshold value, Srxlev is a reception level value (dB) selected by a cell, and Srxlev can satisfy the following formula one:

Srxlev＝Q_rxlevmeas-(Q_{rxlev min}-Q_{rxlev min offest})-Pcompensation

formula one

Wherein Q is_rxlevmeasIs the measured Reference Signal Receiving Power (RSRP) (dBm), Q of the current cell_{rxlev min}For receiving level threshold value (dBm), Q_{rxlev min offest}Pcompensation is the offset value of the receive level threshold value, and is the offset value max (P)_EMAX-P_UMAX0) (dB), where P_EMAXFor the maximum transmit power, P, available to the terminal device_UMAXIs the maximum rf output power determined according to the power class of the terminal device.

Wherein Q is_{rxlev min offest}When the terminal device resides in a Visited Public Land Mobile Network (VPLMN), the receiving level threshold is increased by a difference value, so that the terminal device can periodically search for a Public Land Mobile Network (PLMN) with higher priority, and the main purpose of the method is to prevent ping-pong selection between PLMNs.

Same frequency reselection rule:

the same-frequency reselection may adopt an R criterion, which may be shown in the following formula two and formula three:

R_s＝Q_meas，s+Q_Hystformula two R_t＝Q_meas，t-Q_offsetFormula three

Wherein R is_sIs the R value (Rank), Q of the serving cell_meas，sRSRP, Q for serving cell_HystFor a delay in reselection of a serving cell, the signal strength of the serving cell may be overestimated, thereby delaying cell reselection, and R_tFor the R value, Q, of the evaluated neighbor cell_meas，tRSRP, Q for evaluated neighbor cells_offsetThe signal strength of the evaluated neighbor cell may be underestimated for the offset value of the evaluated neighbor cell, thereby delaying cell reselection, or the direction of reselection may be controlled by setting the offset value of the evaluated neighbor cell.

1) If R is_tGreater than R_sAnd for a Treselection duration;

2) the terminal device resides in the current serving cell for more than 1 second.

2. Inter-frequency cell measurement and reselection

2.1 Pilot frequency reselection from Low to high priority

Pilot frequency measurement rule:

default initiation of measurements for high priority inter-frequency neighbor cells

Pilot frequency reselection rule:

1) and in the inter-frequency neighbor cell reselection time, the estimated Srxlev of the neighbor cell is larger than threshX-High.

Wherein threshX-High is a pilot frequency point High priority reselection threshold, and the pilot frequency neighbor reselection time (EutranReselTime) may be configured for the network device, for example, may be 1 second by default.

2.2 Pilot frequency reselection from high to Low priority

Pilot frequency measurement rule:

when serving cell Srxlev ≦ SnonIntraSearchP, or

When the serving cell Squal is equal to snon intra search q, the terminal device will measure the inter-frequency or inter-system cell.

Wherein, Squal is a Receiving Quality value selected by a cell, snoninrasearchp is an RSRP measurement starting threshold of an inter-frequency and inter-system, and snoninrasearchq is a Reference Signal Receiving Quality (RSRQ) measurement starting threshold of the inter-frequency and inter-system.

Pilot frequency reselection rule:

1) and the different-frequency different-system cells with high priority do not meet the reselection condition.

2) In the inter-frequency neighbor reselection time, Srxlev of the serving cell is less than threshServingLow and Srxlev of the evaluated neighbor cell is greater than threshX-Low.

3) The terminal device resides in the current serving cell for more than 1 second.

Wherein threshServingLow is the Low priority reselection threshold of the service frequency point, and threshX-Low is the Low priority reselection threshold of the pilot frequency point

2.3 Iso-frequency reselection of equal priority

Pilot frequency measurement rule:

consistent with inter-frequency measurement rules in inter-frequency reselection from high priority to low priority.

Pilot frequency reselection rule:

consistent with the same-frequency reselection rule.

Next, cell handover is introduced:

when LTE is switched, the terminal device is required to report the measurement result, which may include RSRP, RSRQ, etc., and reporting is divided into periodic reporting and event-triggered reporting. The periodic reporting is configured by the base station, and the terminal equipment directly reports the measurement result. Event-triggered reporting is further divided into intra-system events and inter-system events.

Inter-frequency handover based on coverage may be triggered by event A2+ A3/A4/A5. The description of the relevant events is as follows:

event a1 indicates that the quality of the serving cell has been above a certain threshold for stopping inter-frequency measurements.

Event a2 indicates that the quality of the serving cell has fallen below a certain threshold for triggering of inter-frequency measurements.

The decision formula of the event a1 is the same as that of the event a2, but the threshold is different.

Triggering conditions are as follows: ms + Hys < Thresh

Cancellation conditions: Ms-Hys > Thresh

Event A3/A4/A5 is used to trigger inter-frequency handover:

a3 indicates that the quality of the neighbor cell is better than the serving cell by a certain threshold. The decision formula is as follows:

triggering conditions are as follows: Mn-Ms-Hys > Thresh

Cancellation conditions: Mn-Ms + Hys < Thresh

A4 indicates that the neighbor cell quality is above a certain threshold. The decision formula is as follows:

triggering conditions are as follows: mn + Ofn + Ocn-Hys > Thresh

Cancellation conditions: mn + Ofn + Ocn + Hys < Thresh

A5 indicates that the serving cell quality is below a certain threshold and the neighbor cell quality is above a certain threshold. The decision formula is as follows:

triggering conditions are as follows: ms + Hys < Thresh1& Mn + Ofn + Ocn-Hys > Threah2

Cancellation conditions: Ms-Hys > Thresh1orMn + Ofn + Ocn + Hys < Thresh2

Wherein Ms is a measurement result (RSRP or RSRQ) of the serving cell, Hys is a hysteresis parameter of the event, Thresh is a threshold parameter of the event, Mn is a measurement result (RSRP or RSRQ) of the neighbor cell, Ofn is a neighbor cell frequency specific offset, Ocn is a cell specific offset of the neighbor cell,

the detailed implementation process of cell reselection and cell handover is introduced, an LTE network may be composed of frequency bands of 900 megahertz (MHz), 1800MHz, 2100MHz, etc., and a pilot frequency interoperation policy is formed by setting reselection and handover parameters between the frequency bands, where the pilot frequency interoperation policy may affect distribution of terminal devices, and further affect user perception, and an unreasonable policy may cause a user not to stay in a high-priority system in time, and a user may migrate between the frequency bands to have an abnormal problem, and further cause a service quality of the terminal devices.

In order to ensure the signal quality of a switched or reselected cell, certain adjustment is usually required to be performed on interoperation parameters, and in the prior art, when the interoperation parameters are adjusted, a network optimizer manually downloads an index report through a network manager and an index platform to perform daily performance index monitoring.

When the indexes of the cells are found to be abnormal, an adjustment strategy can be determined according to artificial optimization experience, and interoperation parameters of the problem cells and the related cells are modified to ensure network performance and user perception, for example, cells with interference, poor quality, congestion and Circuit Switched Fallback (CSFB) difference can be extracted for analysis, whether the interoperation parameters are reasonable or not is checked, whether an algorithm switch is turned on or not is judged, parameter adjustment is performed on the cells with problems, and subsequent indexes are monitored.

However, the manual operation mode has a problem of low response timeliness, and cannot adjust the interoperation parameters in time, so that the terminal device cannot acquire good signal quality in time.

Based on the problems in the prior art, the application provides a parameter processing method and device to realize automatic adjustment of interoperation parameters, so that the signal quality of terminal equipment can be effectively guaranteed.

The parameter processing method provided by the present application is described below with reference to a specific embodiment, and fig. 2 is a flowchart of the parameter processing method provided by an embodiment of the present application, where an execution subject of the embodiment may be, for example, a server, or may also be a component for performing data processing, such as a processor.

As shown in fig. 2, the method includes:

s201, index data of at least one cell is obtained, and a problem cell is selected from the at least one cell according to the index data, wherein the index data is used for indicating the service quality of the cell.

In this application, the index data of the cell is used to indicate the service quality of the cell, and in a possible implementation, the index data may include at least one of the following: user connection number, throughput, single user rate, Physical Resource Block (PRB) utilization rate and bandwidth.

In other possible implementations, the index data may also include other content according to actual needs, as long as the index data is used to indicate the quality of service of the cell.

In this embodiment, the index data of at least one cell may be obtained, for example, by collecting the index data of the cells in the whole network through an automation tool, or by selecting the index data of a designated cell according to actual requirements.

In this embodiment, a problem cell may be selected from at least one cell according to the index data, where the problem cell may be a cell with poor service quality, and in a possible implementation manner, for example, a weight may be set for each index data, a score of the current cell may be obtained according to the weight of each index data and the index data, and when the score of the cell is smaller than a preset score, the current cell may be determined as the problem cell.

Or a threshold value can be set for each index parameter, and if the index parameter does not meet the threshold value, the cell can be determined as a problem cell.

The implementation manner of determining the problem cell is not limited in this embodiment, and the problem cell may be selected according to actual requirements, and any cell with poor service quality selected according to the index data may be used as the problem cell in this embodiment.

S202, aiming at each problem cell, obtaining the interoperation parameters of the problem cell and obtaining the adjustment parameters corresponding to the interoperation parameters, wherein the adjustment parameters are used for indicating the adjustment of the interoperation parameters.

In this embodiment, if the interoperation parameters need to be adjusted automatically, the interoperation parameters of the problem cells need to be acquired for each problem cell, so as to facilitate subsequent adjustment.

The interoperation parameters of each cell may be pre-configured by the network device, or the interoperation parameters of each cell may also be parameters saved after last adjustment, as long as the interoperation parameters are current interoperation parameters of the problem cell, and the determining manner of the interoperation parameters is not particularly limited in this embodiment.

In one possible implementation, the interoperation parameters of the problem cell may include at least one of: measurement threshold, reselection threshold, handover parameter, wherein the handover parameter may comprise at least one of the following: a threshold parameter for an a1 event, a threshold parameter for an a2 event, a threshold parameter for an A3 event, and a threshold parameter for an a5 event.

In this embodiment, for each interoperation parameter, a corresponding adjustment parameter may also be set, where the adjustment parameter is used to indicate adjustment of the interoperation parameter, where the adjustment parameter may include, for example, adjustment offset, adjustment step length, and the like, and in an actual implementation process, a specific implementation of the adjustment parameter may be selected according to an actual requirement.

And S203, adjusting the interoperation parameters according to the adjustment parameters to obtain adjusted interoperation parameters, wherein the adjusted interoperation parameters are used for providing the adjusted interoperation parameters for the terminal equipment to execute cell switching or cell reselection.

The adjustment parameter in this embodiment is used to adjust the interoperation parameter, for example, the interoperation parameter may be subjected to corresponding mathematical operations, such as addition, subtraction, multiplication, and division, according to the adjustment parameter, according to a preset model, so as to obtain the adjusted interoperation parameter, and a specific adjustment manner may be selected and set according to actual requirements, which is not limited in this embodiment.

In this embodiment, if there is at least one interoperation parameter, the interoperation parameter may be adjusted according to an adjustment parameter corresponding to the interoperation parameter for each interoperation parameter, so as to obtain an adjusted interoperation parameter.

The foregoing adjustment operation is performed for each interoperation parameter, so that an adjusted interoperation parameter corresponding to each interoperation parameter can be obtained, and the interoperation parameter in this embodiment may be provided to the terminal device, so that the terminal device performs cell handover or performs cell reselection according to the adjusted interoperation parameter.

And performing cell switching or cell reselection according to the adjusted interoperation parameters, so that the service quality of the switched or reselected cell can be effectively ensured, the terminal equipment can obtain good signal quality, and the user perception is ensured.

The parameter processing method provided by the embodiment of the application comprises the following steps: and acquiring index data of at least one cell, and selecting a problem cell from the at least one cell according to the index data, wherein the index data is used for indicating the service quality of the cell. And aiming at each problem cell, acquiring the interoperation parameters of the problem cell and acquiring adjustment parameters corresponding to the interoperation parameters, wherein the adjustment parameters are used for indicating the adjustment of the interoperation parameters. And adjusting the interoperation parameters according to the adjustment parameters to obtain adjusted interoperation parameters, wherein the adjusted interoperation parameters are used for providing the adjusted interoperation parameters for the terminal equipment to execute cell switching or cell reselection. By determining the problem cell, obtaining the interoperation parameters of the problem cell and the adjustment parameters corresponding to the interoperation parameters, the interoperation parameters are automatically adjusted according to the adjustment parameters, and therefore the interoperation parameters can be timely and effectively adjusted, and the terminal device can be effectively guaranteed to timely obtain good signal quality.

Based on the foregoing embodiments, the following describes the parameter processing method provided in the present application in further detail with reference to specific embodiments, and fig. 3 is a flowchart of a parameter processing method provided in another embodiment of the present application.

As shown in fig. 3, the method includes:

s301, index data of at least one cell is obtained, wherein the index data is used for indicating the service quality of the cell.

The implementation manner of S301 is similar to that of S201, and is not described again here.

S302, aiming at each cell, acquiring the weight corresponding to each index data of the cell and the threshold value corresponding to each index data.

And S303, obtaining the score of the cell according to the weight corresponding to each index data and the threshold value corresponding to each index data.

And judging whether the cell is a problem cell or not aiming at each cell, thereby realizing the selection of the problem cell in at least one cell.

In this embodiment, corresponding weights may be set for each index data, for example, if there are n index data currently, where n is an integer greater than or equal to 1, a weight x may be set for each index data₁、x₂、…、x_nAnd a threshold k may be set for each index data, respectively₁、k₂、…、k_n。

The threshold and the weight corresponding to each cell are set for the index data of each cell, and the specific setting mode may be selected according to actual requirements, which is not particularly limited in this embodiment.

A possible implementation of setting the threshold value of the indicator data is described below with reference to table 1:

table 1:

in an actual implementation process, the setting of the threshold value and the setting of the weight may be selected according to actual requirements, which is not particularly limited in this embodiment.

In this embodiment, the score of the cell may be obtained according to the weight corresponding to each index data and the threshold corresponding to each index data, where the score of the cell may satisfy the following formula four, for example:

K＝k₁×x₁+k₂×x₂+…+k_n×x_nformula four

In other possible implementation manners, the score of the cell in this embodiment can also be obtained by transforming the above formula four or adding related parameters, as long as the score of the cell is obtained according to the weight corresponding to each index data and the threshold value corresponding to each index data.

And S304, if the score of the cell is smaller than the preset score, determining the cell as a problem cell.

After the score of the cell is obtained, the score of the cell may be compared with a preset score, where the preset score may be determined according to a scene and a service model of a user, and a specific implementation manner of the preset score is not particularly limited in this embodiment.

If the score of the cell is smaller than the preset score, it can be determined that the current cell cannot meet the basic data requirement of the user, so that the cell can be determined as a problem cell, and the above operation is performed for each cell, so that at least one problem cell can be determined.

S305, aiming at each problem cell, obtaining the interoperation parameters of the problem cell and obtaining the adjustment parameters corresponding to the interoperation parameters, wherein the adjustment parameters are used for indicating the adjustment of the interoperation parameters.

The implementation manner of S305 is similar to that of S202, and is not described herein again.

S306, inputting the interoperation parameters into a first model to obtain adjusted interoperation parameters, wherein the first model is used for adjusting the interoperation parameters according to the adjustment parameters.

In this embodiment, for each interoperation parameter, an adjustment parameter corresponding to the interoperation parameter may be set, where the adjustment parameter includes at least one of the following: parameter baseline, single adjustment step size, adjustment bias, and adjustment sequence.

In this embodiment, each interoperation parameter that needs to be adjusted may be processed separately, and any one of the interoperation parameters is taken as an example for description, and the other implementation manners are similar.

The interoperation parameters are input into the first model, the first model may include adjustment parameters, and the first model may adjust the interoperation parameters according to the adjustment parameters, so as to obtain adjusted interoperation parameters.

One possible implementation of the first model is described below:

assuming that the interoperation parameter to be adjusted is Q, the adjusted interoperation parameter is D, and the adjustment sequence is O, wherein the adjustment sequence is used for indicating the number of times of loop processing of the interoperation parameter, an initial value of the adjustment sequence is 1, O is overlapped with 1 every loop, and n is an integer greater than or equal to 1.

In one possible implementation, if the interoperability parameter is greater than the difference between the parameter baseline and the adjustment bias, and the interoperability parameter is less than the sum of the parameter baseline and the adjustment bias, determining the parameter baseline as the adjusted interoperability parameter;

in another possible implementation manner, if the interoperability parameter is smaller than the difference between the parameter baseline and the adjustment bias, or the interoperability parameter is larger than the sum of the parameter baseline and the adjustment bias, a product of the adjustment sequence and the adjustment step size is obtained, and the sum of the product and the parameter baseline is determined as the adjusted interoperability parameter.

The first model in this embodiment may satisfy the following formula five, for example:

wherein, L is a parameter baseline, S is an adjustment step length, and f is an adjustment offset.

In one possible implementation, the implementation of the adjustment parameter may be as shown in table 2, for example:

TABLE 2

For example, referring to Table 1 above, assume that the threshold parameter for the interoperability parameter A2 event is currently adjusted, prior to the adjustment being-115, after the adjustment, the adjusted parameter is-117, and the threshold parameter for the A4 event is similar.

S307, determining the performance index of the problem cell according to the adjusted interoperation parameter, wherein the performance index comprises at least one of the following: and establishing a success rate, a disconnection rate and a reconstruction rate.

In this embodiment, after the interoperation parameters are adjusted, the performance index of the problem cell may be further determined to determine whether the network of the problem cell is normal after the interoperation parameters of the problem cell are adjusted.

In one possible implementation, the performance indicator may include at least one of: and establishing a success rate, a disconnection rate and a reconstruction rate.

The establishment success rate is the ratio of the number of times of call establishment success in the cell to the total number of times of call, the call drop rate is the ratio of the number of times of call drop to the total number of times of call, and the reestablishment rate is the ratio of the number of times of call reestablishment after call drop to the number of times of call establishment success.

S308, judging whether each performance index is normal, if so, executing S309, and if not, executing S311.

In this embodiment, a respective corresponding threshold value may be set for each performance index, so as to determine whether each performance index satisfies the respective corresponding threshold value, so as to determine whether each performance index is normal.

For example, the threshold values set for the performance indicators may be as shown in table 3 below:

table 3:

performance index	Threshold value
		Reconstruction ratio	More than 99.8 percent
Establishing success rate	More than 99.0 percent

For example, if the index corresponding to the reconstruction rate is 99.8%, whether the reconstruction rate is greater than 99.8% or not can be determined, if the reconstruction rate is greater than 99.8%, the reconstruction rate can be determined, and if not, the reconstruction rate is determined to be abnormal; and similar implementation for the establishment success rate and the drop rate.

S309, judging whether each performance index is kept normal within a preset time length, if so, executing S310, and if not, executing S311.

In a possible implementation manner, if it is determined that each performance index is normal, in order to ensure the stability of communication, secondary determination may be performed on each performance index, so as to determine whether each performance index is normal within a preset time duration, where the determination manner is similar to the determination manner of S308, and is not described here again.

In another possible implementation manner, in the above S308, it may also be determined whether each performance index is normal within a second preset time period, where specific implementation manners of the preset time period and the second preset time period may be selected according to actual requirements, and this embodiment is not particularly limited.

And S310, saving the adjusted interoperation parameters.

In a possible implementation manner, if it is still determined that each performance index is a schedule in the secondary determination, it may be determined that the current cell may provide good quality of service based on the adjusted interoperation parameter, so that the adjusted interoperation parameter may be stored, and in a subsequent process, cell handover or cell reselection may be performed according to the adjusted interoperation parameter.

S311, the adjusted interoperation parameters are adjusted to be the original interoperation parameters, and 1 is added to the adjustment sequence.

In a possible implementation manner, if it is determined that any one of the performance indicators is abnormal, for example, it does not satisfy the threshold, it may be determined that the problem cell cannot provide good service quality based on the adjusted interoperation parameter, and then a fallback operation may be performed to adjust the adjusted interoperation parameter to the original interoperation parameter, so as to ensure that the basic performance of the cell is normal.

Then, in order to adjust the interoperation parameters, the above operation of inputting the interoperation parameters into the first model to obtain the adjusted interoperation parameters may be performed again, and at this time, 1 is added to the adjustment sequence to update the cycle number.

S312, judging whether the adjusting sequence is larger than or equal to the preset value, if so, executing S313, and if not, executing S306.

And S313, recording the problem cell into a preset list.

In this embodiment, in order to ensure the system performance, the number of cycles is limited, so that it may be determined whether the adjustment sequence is greater than a preset value, where the preset value may be n, for example, where n is an integer greater than or equal to 1.

If the adjustment sequence is greater than or equal to n, it indicates that the cycle number has reached the maximum number, and at this time, the interoperation parameters of the problem cell cannot be adjusted automatically, so that the problem cell can be recorded in a preset list, so as to facilitate subsequent manual processing.

In another possible implementation manner, if the adjustment sequence is less than n, it indicates that the number of cycles has not reached the maximum number, so that the above-mentioned inputting the interoperation parameters into the first model to obtain the adjusted interoperation parameters and a series of subsequent operations may be continuously performed to again implement the automated adjustment of the interoperation parameters.

The parameter processing method provided by the embodiment of the application, after the interoperation parameters are adjusted, the performance indexes of the problem cell are detected in a double mode, when the performance indexes of the problem cell are normal, the adjusted interoperation parameters are stored, so that the problem cell can be guaranteed to provide good service quality based on the adjusted interoperation parameters, and meanwhile when the performance indexes of the problem cell are abnormal, timely adjustment of the interoperation parameters is returned to guarantee basic performance of the problem cell, and when an adjustment sequence is smaller than a preset value, the interoperation parameters are adjusted in a plurality of attempts, so that automatic adjustment of the interoperation parameters is effectively achieved.

On the basis of the foregoing embodiment, in another possible implementation manner, in the embodiment, in the process of adjusting the interoperation parameters, the adjustment parameters are also adjusted correspondingly, so after the adjusted interoperation parameters are saved, an improvement ratio of a corresponding cell may be determined, where the improvement ratio is used to indicate a service quality improvement degree of the cell, and if the improvement ratio of the cell is greater than a preset ratio, it indicates that the adjustment strategy of the first model is very effective, so that model iteration may be performed according to the adjustment parameters in the current first model, and the adjustment parameters in the first model are applied to all cells in the scene to become new adjustment parameters.

On the basis of the above embodiments, the interoperability parameters in the embodiments of the present application have initial values before adjustment, and in order to ensure that each cell can provide good communication quality based on the interoperability parameters, edge rate requirements affecting service awareness can be determined, and signal coverage strength that can meet the requirements is finally determined by fitting a large amount of test data, so as to obtain the initial values of the interoperability parameters. One possible implementation of determining the initial values of the interoperability parameters in the present application is described below:

specifically, the traffic generated by the video service occupies 95% of the total network traffic. Therefore, the video service can be used as a reference for influencing service perception to perform edge rate requirement analysis, wherein key factors influencing the mobile video experience are video loading speed, video fluency and video definition.

Based on analysis, the on-demand buffering time delay is not more than 4 seconds when 480P video is played, and no pause is taken as the standard of poor user perception; and when the 720P video is played, the on-demand buffering time delay does not exceed 4 seconds, and no pause is taken as a good-perception reference of the user.

Different protocols and different definition videos of each website have different buffering amount requirements under different buffering times, and edge rates under different service experiences when a typical Round-Trip Time (RTT) is 70ms are taken as an example in combination with fig. 4, where fig. 4 is a schematic diagram of edge rate requirements provided by an embodiment of the present application.

The size of the initial buffer area of the mainstream video website is 2s and 8s respectively, the buffer calculation is performed in 8s with the largest speed requirement, see fig. 4, the boundary point edge speed requirement corresponding to poor user experience is 1.21Mbps, and the boundary point edge speed requirement corresponding to good user experience is 2.78 Mbps.

Through the fitting of the existing network test data, the LTE covers a-116 dBm area, and the edge downlink average rate can be ensured to be greater than 1.21 Mbps. LTE covers a-103 dBm area, and the edge downlink average rate can be ensured to be more than 2.78 Mbps.

In summary, the-116 dBm can be used as the edge coverage strength reference with poor user perception, and the-103 dBm can be used as the edge coverage strength reference with good user perception, so that the reference shows that at the LTE boundary, the serving cell cannot provide better service relative to the neighboring cells, and the inter-frequency interworking needs to be started.

In a possible implementation manner, in this embodiment, L1800 is used as a cover layer, and L2100 is used as a capacity layer, where L1800 refers to the 1800MHz frequency band in LTE, and L2100 refers to 2100MHz in LTE, and the importance of the two frequency bands is equivalent, so that the priorities of the two frequency bands can be set to be the same, and a possible implementation manner of setting the initial values of the respective interoperation parameters is described below:

first, the relevant interoperation parameters for cell reselection are introduced:

measuring a threshold:

for example, the pilot frequency measurement start threshold snonIntraSearch may be set to 12, and the minimum reception level is set to-128 by default, then according to the reselection measurement formula, the measurement threshold ═ pilot frequency measurement start threshold + the minimum reception level ═ 12-128 ═ 116dBm, which meets the edge coverage strength standard of the user perception difference, so that it may be ensured that the user starts reselection measurement at the perception difference edge coverage boundary point.

A reselection threshold:

when the reselection threshold ThrshServLow is set to 4, that is, the neighboring cell level-the primary cell level is greater than 4dB, the ping-pong reselection frequency is also lower while the reselection success rate is better.

First, the relevant interoperation parameters of cell handover are introduced:

when the pilot frequency points are measured, system resources can be greatly occupied, uploading and downloading rates are further influenced, so that the pilot frequency measurement is started only in the shortest time before the pilot frequency switching is carried out by the terminal equipment, the consumption of the pilot frequency measurement on the system resources is reduced, and the rates are improved.

When the event strategy is adopted, for example, the overlay layer → the capacity layer can use A2+ A3, and the capacity layer → the overlay layer can use A2+ A5, because A5 is more strict than A3, the user can stay in the capacity layer more, and a good experience is obtained.

The settings of the handover parameters may be, for example:

threshold parameter for A2 event

The threshold parameter of the a2 event is the starting point of the inter-frequency networking parameter, and other parameters are basically determined by referring to the threshold parameter of the a2 event. Typically, the threshold parameter of the a2 event for inter-frequency initiation measurements needs to be determined first. The threshold parameter of the a1 event is used for inter-frequency measurement with exit. In order to ensure that the terminal equipment can timely quit the measurement of the measurement interval when returning to the LTE coverage, the loss of throughput is avoided.

L1800 → L2100 needs to cut into the capacity layer when the signal is faded and the service experience is still good to avoid affecting the perception, so a2 is default to-103 dBm according to the fitting result.

L2100 → L1800 needs to ensure that the capacity layer is left as much as possible, the edge coverage boundary is chosen as the switching region, so a2 ═ 116dBm is adopted by default according to the fitting result.

Threshold parameter for A1 event

Given the timeliness and stability of entering/exiting the measurement interval, the threshold parameter setting for the a1 event is typically 4dB greater than the threshold parameter for the a2 event.

A1 ═ a2+4dB can be set.

Threshold parameters for A3, A5 events

In order to minimize the inter-frequency measurement time, it is necessary to switch as soon as possible as the measurement is started

According to the comparison test result, when A3 is set to be 2dB, the average speed before and after switching is within the perception difference boundary, and meanwhile, the ping-pong switching frequency is lower;

the threshold 1 of the a5 event may be set to be the same as a2 to achieve fast handover, so the threshold 1 of the serving cell may be set to-106 dBm, and the threshold 2 of the neighbor cell is set to-103 dBm, which is the same as a1, to ensure that the strength of the neighbor cell can ensure good user experience.

According to the embodiment of the application, the initial values of the interoperation parameters are set, so that the signal coverage strength meeting the service requirements can be effectively ensured to be provided by the cell according to the initial values of the interoperation parameters, and the perception of the user is ensured.

Fig. 5 is a schematic structural diagram of a parameter processing apparatus according to an embodiment of the present application. As shown in fig. 5, the apparatus 50 includes: an obtaining module 501, an adjusting module 502 and a processing module 503.

In one possible design, the obtaining module is specifically configured to:

In one possible design, the adjustment module is specifically configured to:

the first model includes:

In one possible design, the adjustment module is specifically configured to:

In one possible design, the apparatus further includes: a processing module;

judging whether each performance index is normal or not;

In one possible design, the adjustment module is further configured to:

The apparatus provided in this embodiment may be used to implement the technical solutions of the above method embodiments, and the implementation principles and technical effects are similar, which are not described herein again.

Fig. 6 is a schematic diagram of a hardware structure of a parameter processing apparatus according to an embodiment of the present application, and as shown in fig. 6, a parameter processing apparatus 60 according to the embodiment includes: a processor 601 and a memory 602; wherein

A memory 602 for storing computer-executable instructions;

the processor 601 is configured to execute the computer execution instructions stored in the memory to implement the steps performed by the parameter processing method in the foregoing embodiments. Reference may be made in particular to the description relating to the method embodiments described above.

Alternatively, the memory 602 may be separate or integrated with the processor 601.

When the memory 602 is provided separately, the parameter processing apparatus further includes a bus 603 for connecting the memory 602 and the processor 601.

An embodiment of the present application further provides a computer-readable storage medium, where a computer executing instruction is stored in the computer-readable storage medium, and when a processor executes the computer executing instruction, the parameter processing method performed by the above parameter processing device is implemented.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the modules is only one logical division, and other divisions may be realized in practice, for example, a plurality of modules may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.

The integrated module implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present application.

It should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.

The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile storage NVM, such as at least one disk memory, and may also be a usb disk, a removable hard disk, a read-only memory, a magnetic or optical disk, etc.

The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.

The storage medium may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.

Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for processing parameters, comprising:

2. The method of claim 1, wherein selecting a problem cell among the at least one cell based on the indicator data comprises:

3. The method of claim 1, wherein adjusting the interoperability parameters according to the adjustment parameters to obtain adjusted interoperability parameters comprises:

4. The method of claim 3, wherein the adjustment parameters include a parameter baseline, a single adjustment step size, an adjustment bias, and an adjustment sequence;

the first model includes:

5. The method of claim 4, wherein adjusting the interoperation parameters according to the parameter baseline, the adjustment step size, and the adjustment sequence comprises:

6. The method according to any one of claims 1-4, wherein after adjusting the interoperability parameters according to the adjustment parameters to obtain adjusted interoperability parameters, the method further comprises:

judging whether each performance index is normal or not;

7. The method of claim 6, wherein after the adjusting the adjusted interoperability parameters to the original interoperability parameters, the method further comprises:

8. The method according to any one of claims 1-7, wherein the indicator data comprises at least one of: the method comprises the following steps of (1) user connection number, throughput, single user rate, resource block PRB utilization rate and bandwidth;

9. A parameter processing apparatus, comprising:

10. A parameter processing apparatus, comprising:

a memory for storing a program;

a processor for executing the program stored by the memory, the processor being configured to perform the method of any of claims 1 to 8 when the program is executed.

11. A computer-readable storage medium comprising instructions which, when executed on a computer, cause the computer to perform the method of any one of claims 1 to 8.