CN108271184B - VoLTE service processing method and device - Google Patents
VoLTE service processing method and device Download PDFInfo
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Abstract
The invention relates to a VoLTE service processing method and device. The VoLTE service processing method comprises the following steps: acquiring service capacity indexes of a service cell and N adjacent cells at the current moment and service capacity indexes of a history moment, wherein the service capacity indexes comprise VoLTE service capacity indexes and non-VoLTE service capacity indexes of the service cell and the adjacent cells, and N is an integer greater than or equal to 1; predicting the future service capacity index of the service cell according to the current service capacity index and the historical service capacity index of the service cell and N adjacent cells to obtain a service capacity prediction result of the service cell; and dynamically adjusting the communication parameters of the serving cell according to the service capacity prediction result of the serving cell.
Description
Technical Field
The invention relates to the field of communication, in particular to a VoLTE service processing method and device.
Background
In the current VoLTE service processing related technology, a terminal senses the current environment state of VoLTE (voice service based on LTE) (senses signal intensity, environment noise, mobile information, network congestion or resource allocation and the like), then judges whether related conditions are met or not according to the current environment condition, starts the VoLTE when the related conditions are met, and otherwise closes the VoLTE or adjusts corresponding resources.
When optimizing a VoLTE wireless network, VoLTE service experience and resource utilization are the focus of attention of users, operators and manufacturers. At present, a terminal mainly senses the state of the VoLTE environment and then processes the VoLTE service. The improvement of the service experience of VoLTE mainly depends on the perception and selection of the terminal. Terminal awareness on the one hand leads to a delay in performance awareness and on the other hand will have an impact on VoLTE traffic in service.
Disclosure of Invention
The embodiment of the invention provides a VoLTE service processing method and device, which can improve the service experience of VoLTE.
An embodiment of the present invention provides a VoLTE service processing method, including: acquiring service capacity indexes of a service cell and N adjacent cells at the current moment and service capacity indexes of a history moment, wherein the service capacity indexes comprise VoLTE service capacity indexes and non-VoLTE service capacity indexes of the service cell and the adjacent cells, and N is an integer greater than or equal to 1; predicting the future service capacity index of the service cell according to the current service capacity index and the historical service capacity index of the service cell and N adjacent cells to obtain a service capacity prediction result of the service cell; and dynamically adjusting the communication parameters of the serving cell according to the service capacity prediction result of the serving cell.
In some embodiments, the VoLTE service processing method further includes: predicting the future service capacity index of each adjacent cell in the N adjacent cells according to the service capacity index of the service cell and the service capacity index of the N adjacent cells at the current moment and the service capacity index of the service cell at the historical moment to obtain the service capacity prediction results of the N adjacent cells; and cooperatively allocating resource blocks for VoLTE services and non-VoLTE services of the serving cell and the N adjacent cells according to the service capacity prediction result of the serving cell and the service capacity prediction results of the N adjacent cells.
In some embodiments, the step of predicting the service capacity index of the serving cell in the VoLTE service processing method includes calculating a similarity between the service capacity index of the serving cell at the current time and the service capacity index of the serving cell at the historical time; and taking the service capacity index at the moment with the maximum similarity as a service capacity prediction result of the service cell.
In some embodiments, the step of predicting the service capacity indexes of N neighboring cells in the VoLTE service processing method includes, for each of the N neighboring cells, calculating a similarity between the service capacity index of the neighboring cell at the current time and the service capacity index of the neighboring cell at the historical time, and taking the service capacity index at the time with the highest similarity as a service capacity prediction result of the neighboring cell.
In some embodiments, the VoLTE service processing method further includes: constructing a capacity radar map of the current time 0 and the historical time i according to the service capacity indexes of the current time 0 and the service capacity indexes of the historical time i of the service cell and N adjacent cells; for the serving cell and each of the N neighboring cells, calculating an overlap ratio of the traffic capacity radar maps as a similarity according to the following formula:
in some embodiments, the step of adjusting the communication parameter of the serving cell in the VoLTE service processing method includes: comparing the service capacity prediction result of the service cell with the maximum VoLTE service capacity of the service cell; and adjusting the communication parameters based on the comparison.
In some embodiments, the step of adjusting the communication parameter of the serving cell in the VoLTE service processing method further includes: under the condition that the service capacity prediction result of the service cell is smaller than a first preset proportion of the maximum VoLTE service capacity of the service cell, the communication parameters are not adjusted; when the service capacity prediction result of the serving cell is greater than or equal to a first predetermined proportion of the maximum VoLTE service capacity of the serving cell and is less than a second predetermined proportion of the maximum VoLTE service capacity of the serving cell, the following adjustment is performed: improving PDCCH downlink power, PDSCH downlink power and PUSCH uplink power of a serving cell; reducing TCH power and BCCH power of adjacent cells of the serving cell, wherein the second predetermined proportion is greater than the first predetermined proportion; and adjusting the switching threshold to guide the VoLTE service of the serving cell to a neighboring cell of the serving cell when the service capacity prediction result of the serving cell is greater than or equal to a second predetermined proportion of the maximum VoLTE service capacity of the serving cell.
In some embodiments, the VoLTE service processing method further includes calculating a minimum value, a maximum value, a mean value, and a variance value of all service capacity indexes according to the service capacity indexes of the serving cell and the N neighboring cells at the current time and the service capacity indexes of the N neighboring cells at the historical time; reserving a resource block for the VoLTE service of the serving cell according to the minimum value of the VoLTE service capacity index of the serving cell, and using the resource block as reserved service capacity; under the condition that the reserved service capacity is smaller than a preset value and the VoLTE service volume of the service cell is larger than the reserved service capacity, continuously distributing resource blocks for the VoLTE service of the service cell, refusing to distribute the resource blocks for the common voice service generated by the VoLTE terminal, and redirecting the common voice service to an adjacent cell with smaller VoLTE service volume; and when the VoLTE service volume of the service cell is larger than a preset value, refusing to allocate resource blocks for the VoLTE service of the service cell, and redirecting the VoLTE service of the service cell to an adjacent cell with smaller VoLTE service volume.
Another embodiment of the present invention further provides a VoLTE service processing apparatus, including: the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring service capacity indexes of a service cell and N adjacent cells at the current moment and service capacity indexes of historical moments, the service capacity indexes comprise VoLTE service capacity indexes and non-VoLTE service capacity indexes of the service cell and the adjacent cells, and N is an integer greater than or equal to 1; the prediction unit is used for predicting the future service capacity index of the service cell according to the current service capacity index and the historical service capacity index of the service cell and N adjacent cells to obtain a service capacity prediction result of the service cell; and the adjusting unit is used for dynamically adjusting the communication parameters of the serving cell according to the service capacity prediction result of the serving cell.
In some embodiments, the predicting unit in the VoLTE service processing apparatus is further configured to predict future service capacity of each of the N neighboring cells according to the service capacity index at the current time and the service capacity index at the historical time of the serving cell and the N neighboring cells, so as to obtain service capacity prediction results of the N neighboring cells. The adjusting unit in the VoLTE service processing apparatus is further configured to cooperatively allocate resource blocks for VoLTE services and non-VoLTE services of the serving cell and the N neighboring cells according to the service capacity prediction result of the serving cell and the service capacity prediction results of the N neighboring cells.
According to the embodiment of the invention, the resource allocation and the communication parameter adjustment of the VoLTE are carried out based on the prediction results of various service capacities of the service cell and the adjacent cell, so that the resource and the communication parameter of the VoLTE service capacity are relatively stable, and compared with a mode of controlling the VoLTE service capacity from a terminal side, the method is beneficial to improving the VoLTE capacity and reducing the VoLTE service capacity fluctuation. In addition, service capacity prediction is carried out according to the similarity of the time series radar maps of various service capacities of the service cell and the adjacent cells, and the systematicness and stability of the capacity prediction are guaranteed.
Drawings
Other features, objects and advantages of the invention will become apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings in which like or similar reference characters refer to the same or similar parts.
Fig. 1 is an exemplary flowchart of a VoLTE traffic processing method according to an embodiment of the present invention;
fig. 2 is an exemplary flowchart of a VoLTE traffic processing method for capacity prediction based on radar maps according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a traffic capacity radar map according to an embodiment of the present invention;
fig. 4 is an exemplary flowchart of steps related to parameter adjustment in a VoLTE service processing method according to an embodiment of the present invention;
fig. 5 is an exemplary flowchart of steps related to resource allocation in a VoLTE traffic handling method according to an embodiment of the present invention;
fig. 6 is another exemplary flowchart of a VoLTE traffic processing method according to an embodiment of the present invention;
fig. 7 is a block diagram of a VoLTE service processing apparatus according to an embodiment of the present invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below. In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention. The present invention is in no way limited to any specific configuration and algorithm set forth below, but rather covers any modification, replacement or improvement of elements, components or algorithms without departing from the spirit of the invention. In the drawings and the following description, well-known structures and techniques are not shown in order to avoid unnecessarily obscuring the present invention.
In this embodiment, a VoLTE service processing method is provided, and fig. 1 is an exemplary flowchart of the VoLTE service processing method according to an embodiment of the present invention, as shown in fig. 1, the flowchart includes the following steps:
step S102, obtaining the current service capacity index and the historical service capacity index of a cell;
in this step, the service capacity indicator may be used to indicate the service capacity of the VoLTE service and/or the non-VoLTE service of the cell, and the service capacity indicator may be one or more, for example, each service type may correspond to one service capacity indicator. The cell in this step may be a serving cell or one or more neighboring cells adjacent to the serving cell.
Step S104, predicting the service capacity according to the service capacity index at the current moment and the historical service capacity index to obtain a prediction result;
step S106, according to the prediction result, at least one of the following is adjusted: resource allocation, communication parameters.
In this step, the resources for allocation may include resources for VoLTE services and/or resources for non-VoLTE services, the parameters may be adjusted as long as the parameters are used for communication, and the typical parameters may include at least one of the following: switching threshold, power control parameter, beam forming parameter.
In the above steps, instead of relying on the perception and selection of the terminal, the prediction result is obtained by predicting the service capacity according to the service capacity index at the current moment and the historical service capacity index, and the adjustment is performed according to the prediction result. Therefore, the problem that the service experience of the VoLTE is improved mainly by depending on the perception and selection of the terminal is solved through the steps, and the service quality and the user experience of the VoLTE service can be improved.
The prediction is performed in step S104, and there are many prediction manners, and as an optional manner, the similarity between the current service capacity index and the historical service capacity index may be obtained, and then the prediction result is obtained according to the similarity. The prediction mode is based on the similarity, so that the prediction can be more accurate.
When the similarity is predicted, the similarity can be obtained from the angle of the value, and at this time, the service capacity index needs to be converted into a series of data. In this embodiment, an alternative embodiment is provided, in which the service capacity indicator is converted into sequence data, the sequence data includes a plurality of data, and each of the plurality of data corresponds to a service capacity corresponding to a terminal of a predetermined type performing a predetermined service at a certain time.
In this alternative embodiment, when performing prediction, first sequence data corresponding to a traffic capacity index at the current time and second sequence data corresponding to a historical traffic capacity index may be acquired first. Because the obtained data sequence comprises a plurality of data, a first radar map corresponding to the first sequence data and a second radar map corresponding to the second sequence data can be constructed according to the plurality of data; and then, obtaining the similarity according to the overlapping rate of the first radar map and the second radar map.
In the alternative embodiment, the comparison is performed by using a radar map, which is a graphical method for comparing data of images, and the compared data can be visually displayed by using the radar map.
In another alternative embodiment, after the radar map is used for comparison, the time when the similarity of the first radar map and the second radar map is maximum can be obtained; then, the traffic capacity corresponding to the time point with the maximum similarity is used as the prediction result. In this alternative embodiment, the traffic capacity with the largest similarity is used as the prediction result, and the prediction result is obtained in a manner that makes the prediction result as accurate as possible.
The implementation of the use of the radar map described above is described below in connection with an alternative embodiment.
In the optional embodiment, various service capacity indexes (VoLTE terminal VoLTE service, VoLTE terminal data service, VoLTE terminal voice service, no-load VoLTE terminal, non-VoLTE terminal data service, non-VoLTE terminal voice service, and no-load non-VoLTE terminal) of the serving cell and the adjacent cell are collected, the similarity between the current time capacity and the historical capacity sequence is calculated, and the service capacity of the serving cell and the adjacent cell at the future time is predicted based on the capacity similarity.
Fig. 2 is an exemplary flowchart of a VoLTE service processing method for capacity prediction based on a radar chart according to an embodiment of the present invention, and as shown in fig. 2, the flowchart includes the following steps:
step S202, collect various service capacities of the serving cell and its neighboring cells, for example, VoLTE terminal VoLTE service, VoLTE terminal data service, VoLTE terminal voice service, no-load VoLTE terminal, non-VoLTE terminal data service, non-VoLTE terminal voice service, and no-load non-VoLTE terminal capacity, and form a sorted capacity time series matrix, as shown in table 1:
TABLE 1 cell classification capacity time series matrix
Wherein 3 labels in parentheses of Cap (i,0, volume) respectively represent time, terminal type (VoLTE terminal, non-VoLTE terminal) and service type (VoLTE, data, voice and none), for example, Cap (i,0, volume) represents VoLTE service capacity generated by the VoLTE terminal at the i-th time, and Cap (i,1, data) generates data service capacity for the non-VoLTE terminal at the i-th time;
step S204, similar to step S202, obtains the capacity indexes Cap (0,0, volt), Cap (0,0, data), Cap (0,0, voice), Cap (0,0, none), Cap (0,1, data), Cap (0,1, voice) and Cap (0,1, none) of the serving cell and the neighboring cell at the current time
Step S206: constructing a radar map of the traffic volume at the current time 0 and the historical time i by using the sequence data acquired in step S202 and step S204, as shown in fig. 3, and calculating an overlap ratio Oi0 of the current time 0 and the historical time i as a similarity of the radar map, wherein the overlap ratio is calculated as shown in formula 1:
step S208: according to step S206, calculating an overlapping ratio Oik of radar maps of the serving cell and its neighboring cell k at the i-th time (Oik is a capacity similarity between the current time and the i-th time of the k-th neighboring cell);
step S210: calculating the capacity similarity of the N cells at the ith moment according to a formula 2:
the predicted values of the capacity at the time point i at which the similarity is the maximum are Cap (exp,0, volt), Cap (exp,0, data), Cap (exp,0, voice), Cap (exp,0, none), Cap (exp,1, data), Cap (exp,1, voice) and Cap (exp,1, none).
After obtaining the predicted traffic capacity according to the scheme in the above embodiment, in an alternative embodiment, how to adjust may be determined with reference to the maximum value of the traffic capacity.
For example, whether to adjust the parameter may be determined according to a maximum of the predicted traffic capacity of VoLTE for the cell and the traffic capacity of VoLTE for the cell.
Since the maximum value of the service capacity is a better reference value for measuring the service processing capability of one cell, the adjustment can be more accurate by adjusting at least according to the maximum value. When the communication is actually performed, there are many parameters that can be adjusted, and the parameters can be adjusted according to actual needs.
For example, determining whether to adjust the parameter includes at least one of: under the condition that the service capacity prediction result of the service cell is smaller than a first preset proportion of the maximum VoLTE service capacity of the service cell, the communication parameters are not adjusted; when the service capacity prediction result of the serving cell is greater than or equal to a first predetermined proportion of the maximum VoLTE service capacity of the serving cell and is less than a second predetermined proportion of the maximum VoLTE service capacity of the serving cell, the following adjustment is performed: improving PDCCH downlink power, PDSCH downlink power and PUSCH uplink power of a serving cell; reducing TCH power and BCCH power of adjacent cells of the serving cell, wherein the second predetermined proportion is greater than the first predetermined proportion; and adjusting the switching threshold to guide the VoLTE service of the serving cell to a neighboring cell of the serving cell when the service capacity prediction result of the serving cell is greater than or equal to a second predetermined proportion of the maximum VoLTE service capacity of the serving cell.
Exemplary steps for parameter adjustment are described below in conjunction with fig. 4.
After various service capacities of a cell and adjacent cells are predicted, the requirements of VoLTE terminal coverage and the SINR of VoLTE service are ensured by dynamically adjusting a switching threshold, power control and beam forming parameters.
Step S402, if Cap (exp,0, volt) of a certain cell < MaxCap x 60% (MaxCap is the maximum value of VoLTE service capacity of the cell, when RoHC configuration is activated, if VoLTE service is high definition VoLTE, MaxCap is 288, if VoLTE service is standard definition VoLTE, MaxCap is 576), switching threshold, power control and beamforming parameters are not adjusted, VoLTE service is directly accessed, otherwise, step S404 is performed;
step S404, if Cap (exp,0, volt) > (MaxCap 60%), Cap (exp,0, volt) < MaxCap 80%, Cap (exp,0, volt) >0, volt) -Cap (0,0, volt) >0, increase the downlink power of PDCCH and PDSCH by 3dB, and instruct the terminal to start power control to increase the uplink power of PUSCH by 3dB, and meanwhile reduce the TCH and BCCH power of 3G adjacent cells by 3dB, on one hand, the coverage of VoLTE is increased, and on the other hand, the switching probability that the VoLTE service enables CSFB to fall back to the CS domain or the voice service is switched to eSRVCC is reduced;
step S406, if Cap (exp,0, voltage) > of a certain cell is MaxCap 80%, and Cap (exp,0, voltage) -Cap (0,0, voltage) >0, the method adjusts the switching threshold a1 to-115 dB, and guides and switches the VoLTE service to other neighboring cells, and selects neighboring cells with capacity satisfying Cap (exp,0, voltage) < MaxCap 60% preferentially for the candidate neighboring cells.
After the predicted traffic capacity is obtained, in another embodiment, the resources for VoLTE traffic and/or the resources for non-VoLTE traffic may also be adjusted.
For example, adjusting resources for VoLTE traffic and/or resources for non-VoLTE traffic may include: calculating the minimum value, the maximum value, the mean value and the variance value of all service capacity indexes according to the service capacity indexes of the service cell and the service capacity indexes of N adjacent cells at the current moment and the service capacity indexes of the service cell at the historical moment; reserving a resource block for the VoLTE service of the serving cell according to the minimum value of the VoLTE service capacity index of the serving cell, and using the resource block as reserved service capacity; under the condition that the reserved service capacity is smaller than a preset value and the VoLTE service volume of the service cell is larger than the reserved service capacity, continuously distributing resource blocks for the VoLTE service of the service cell, refusing to distribute the resource blocks for the common voice service generated by the VoLTE terminal, and redirecting the common voice service to an adjacent cell with smaller VoLTE service volume; and when the VoLTE service volume of the service cell is larger than a preset value, refusing to allocate resource blocks for the VoLTE service of the service cell, and redirecting the VoLTE service of the service cell to an adjacent cell with smaller VoLTE service volume.
Exemplary steps for resource allocation are described below in conjunction with fig. 5.
After the parameters are adjusted, the VoLTE coverage of the VoLTE terminal is guaranteed to the maximum extent, but the capacity and the stability of the VoLTE service are not meant to be optimal, and the VoLTE service and other service resource allocation can be systematically and cooperatively adjusted according to the capacity prediction result to guarantee the stability of the VoLTE service and reduce the disconnection rate.
Step S502, based on the time sequence, obtaining a minimum value Cap (min,0, volume) k, a mean value Cap (avg,0, volume) k, a maximum value Cap (max,0, volume) k and a variance Cap (sqr,0, volume) k of each cell and each service capacity of adjacent cells;
step S504, to ensure stability of the VoLTE service, PRBs of VoLTE service capacity are reserved according to Min (Cap (max,0, voltage) k), and the number of reserved PRBs satisfies formula 3:
[ Min (Cap (max,0, volt) k) (1.1-1.5) ]/[20(TTI) × Min (Cap (max,0, volt) k)/Cap (max,0, volt) k ] (equation 3);
step S506, if the VoLTE service capacity entering the cell is larger than the reserved service capacity Min (Cap (max,0, volt) k), but the reserved service volume is smaller than 200, continuously allocating PRB for the VoLTE, increasing the PRB coefficient by 2 from 1.5, simultaneously refusing to allocate resources for the common voice service generated by the VoLTE terminal, and redirecting the resources to the adjacent cell with smaller VoLTE service capacity; otherwise, go to step S508;
step S508, if the VoLTE service capacity of the access cell is greater than 200, refusing to continue allocating PRB resources for the access cell, and redirecting the access cell to an adjacent cell with smaller VoLTE service capacity.
The above steps S202-S210, steps S402 to S406, and steps S502 to S508 may be implemented as an embodiment, fig. 6 is a flowchart of another optional VoLTE service processing method according to the embodiment of the present invention, and as shown in fig. 6, the flowchart may include the following steps:
step S601, collecting the service capacity sequence of the current time and the historical time, and calculating the similarity so as to predict the future service capacity;
step S602, based on the predicted value of the service capacity, adjusting the switching threshold, the power control and the forming parameter to ensure the VoLTE wireless coverage and SINR index;
step S603, further coordinating resource allocation of the local cell and the neighboring cell based on step S601 and step S602, and ensuring continuity and stability of VoLTE service capacity from the system perspective.
Through the above embodiments and optional implementation, the following technical effects can be achieved:
VoLTE capacity prediction: establishing a VoLTE traffic model by means of the online terminal conditions and terminal capabilities of a service cell and an adjacent cell, predicting the VoLTE capacity, and using the VoLTE traffic model as a basis for adjusting the VoLTE wireless network coverage and resource distribution parameters;
optimizing coverage parameters: voice service borne by VoLTE has higher requirements on time delay, BLER and the like, is higher than general data service requirements, has higher requirements on SINR by about 3dB than common data service, generates higher requirements on wireless network coverage, ensures signal coverage of uplink and downlink RSRP, and avoids influence on other users due to signal enhancement;
resource collaborative allocation: the data channel is used by the VoLTE, and when the PRB allocation is performed, on one hand, allocation under the condition that the VoLTE and other data services coexist on the same terminal needs to be considered, and on the other hand, resource allocation under the condition that non-VoLTE terminals coexist needs to be considered, so that the probability that the VoLTE service cannot be connected due to strong signal reception of the terminal is reduced.
In an embodiment of the present invention, a VoLTE service processing apparatus is also provided. Fig. 7 is a block diagram of a VoLTE service processing apparatus according to an embodiment of the present invention, and as shown in fig. 7, the apparatus includes:
an obtaining unit 72, configured to obtain service capacity indexes of a serving cell and N adjacent cells at a current time and service capacity indexes of a history time, where the service capacity indexes include VoLTE service capacity indexes and non-VoLTE service capacity indexes of the serving cell and the adjacent cells, and N is an integer greater than or equal to 1;
the predicting unit 74 is configured to predict a future service capacity index of the serving cell according to the service capacity index of the serving cell and the service capacity indexes of the N neighboring cells at the current time and the service capacity indexes of the historical times, so as to obtain a service capacity prediction result of the serving cell; and
and an adjusting unit 76, configured to dynamically adjust the communication parameters of the serving cell according to the service capacity prediction result of the serving cell.
The obtaining unit 72, the predicting unit 74 and the adjusting unit 76 may also implement the above-mentioned alternative embodiments, and are not described herein again.
An embodiment of the present invention also provides a storage medium. The storage medium may include, but is not limited to: a flash disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic or optical disk. Other storage mediums that come with the development of technology may also implement the present embodiments.
The storage medium in the present embodiment stores a computer program or a software program for executing: acquiring service capacity indexes of a service cell and N adjacent cells at the current moment and service capacity indexes of a history moment, wherein the service capacity indexes comprise VoLTE service capacity indexes and non-VoLTE service capacity indexes of the service cell and the adjacent cells, and N is an integer greater than or equal to 1; predicting the future service capacity index of the service cell according to the current service capacity index and the historical service capacity index of the service cell and N adjacent cells to obtain a service capacity prediction result of the service cell; and dynamically adjusting the communication parameters of the serving cell according to the service capacity prediction result of the serving cell.
As an alternative embodiment, the computer program or software program may also be used to perform other method steps of the solutions provided in examples 1 to 4.
The storage medium may also store data used or generated during execution of the computer program or software program.
The storage medium may serve only as a storage medium, and the execution of the computer program or software program may be realized by the processor. The storage medium and the processor may be in a base station device, but may also be in other devices in a communication network as technology advances.
Optionally, in this embodiment, the storage medium may be configured to store program codes executed by the schemes provided in embodiments 1 to 4.
Optionally, in this embodiment, the storage medium may be located in any one of computer terminals in a computer terminal group in a computer network, or in any one of mobile terminals in a mobile terminal group.
Through the embodiment and the optional implementation, the VoLTE service capacity prediction based on the similarity of the service capacity time series radar chart can be realized; switching and power parameters are adjusted based on the VoLTE service capacity prediction result of the cell, so that matching of service capacity and coverage with VoLTE is realized, and the VoLTE service quality and user experience are improved to the maximum extent; based on the capacities of the local cell and the adjacent cells, resources occupied by various service capacities of the local cell and the adjacent cells are cooperatively distributed, particularly the service capacities related to the VoLTE terminal.
In the above embodiments and optional embodiments, the adjustment of the coverage and resource allocation parameters of the VoLTE is performed based on the prediction results of various service capacities of the local cell and the neighboring cells, so that the resource and parameter of the VoLTE service capacity are relatively stably controlled, the VoLTE service capacity is more comprehensive, the VoLTE service capacity is favorably improved, and the fluctuation of the VoLTE service capacity is reduced. The method and the device predict based on the similarity of various service capacity time series radar maps of the historical cell and the adjacent cells thereof, ensure the systematicness and stability of capacity prediction, and can realize coordination of cell coverage and resource allocation and make the system more.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
The present invention may be embodied in other specific forms without departing from its spirit or essential characteristics. For example, the algorithms described in the specific embodiments may be modified without departing from the basic spirit of the invention. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Claims (9)
1. A VoLTE service processing method is characterized by comprising the following steps:
acquiring service capacity indexes of a service cell and N adjacent cells at the current moment and service capacity indexes of the service cell and N adjacent cells at the historical moment, wherein the service capacity indexes comprise VoLTE service capacity indexes and non-VoLTE service capacity indexes of the service cell and the adjacent cells, and N is an integer greater than or equal to 1;
predicting the future service capacity index of the service cell according to the service capacity indexes of the service cell and the N adjacent cells at the current moment and the service capacity indexes of the service cell at the historical moment to obtain a service capacity prediction result of the service cell; and is
Dynamically adjusting the communication parameters of the serving cell according to the service capacity prediction result of the serving cell;
the step of predicting the future service capacity index of the serving cell by the service capacity comprises:
calculating the similarity between the current service capacity index of the serving cell and the historical service capacity index;
and taking the service capacity index of the time with the maximum similarity as a service capacity prediction result of the service cell.
2. The method of claim 1, further comprising:
predicting the future service capacity index of each adjacent cell in the N adjacent cells according to the service capacity indexes of the service cell and the N adjacent cells at the current moment and the service capacity indexes of the service cell and the N adjacent cells at the historical moment to obtain service capacity prediction results of the N adjacent cells; and is
And cooperatively allocating resource blocks for VoLTE services and non-VoLTE services of the serving cell and the N adjacent cells according to the service capacity prediction result of the serving cell and the service capacity prediction results of the N adjacent cells.
3. The method of claim 2, wherein the step of predicting future traffic capacity indicators of the N neighboring cells comprises:
and calculating the similarity between the service capacity index of the current time of the adjacent cell and the service capacity index of the historical time aiming at each adjacent cell in the N adjacent cells, and taking the service capacity index of the time with the maximum similarity as the service capacity prediction result of the adjacent cell.
4. The method of claim 1 or 3, further comprising:
constructing a capacity radar map of the current time 0 and the historical time i according to the service capacity indexes of the current time 0 and the service capacity indexes of the historical time i of the service cell and the N adjacent cells;
for the serving cell and each of the N neighboring cells, calculating an overlap ratio of the traffic capacity radar graph as the similarity according to the following formula:
5. the method of claim 1, wherein the step of adjusting the communication parameters of the serving cell comprises:
comparing the service capacity prediction result of the serving cell with the maximum VoLTE service capacity of the serving cell; and is
And adjusting the communication parameters according to the comparison result.
6. The method of claim 5, further comprising:
under the condition that the service capacity prediction result of the serving cell is smaller than a first preset proportion of the maximum VoLTE service capacity of the serving cell, the communication parameters are not adjusted;
when the service capacity prediction result of the serving cell is greater than or equal to the first predetermined proportion of the maximum VoLTE service capacity of the serving cell and is less than a second predetermined proportion of the maximum VoLTE service capacity of the serving cell, performing the following adjustment: improving PDCCH downlink power, PDSCH downlink power and PUSCH uplink power of the serving cell; reducing TCH power and BCCH power of neighboring cells of the serving cell, wherein the second predetermined ratio is greater than the first predetermined ratio; and is
Adjusting a handover threshold to direct VoLTE traffic of the serving cell to a neighbor cell of the serving cell if the traffic volume prediction result of the serving cell is greater than or equal to the second predetermined proportion of the maximum VoLTE traffic volume of the serving cell.
7. The method of claim 2, wherein the step of removing the substrate comprises removing the substrate from the substrate
Calculating the minimum value, the maximum value, the mean value and the variance value of all service capacity indexes according to the service capacity indexes of the service cell and the N adjacent cells at the current moment and the service capacity indexes of the service cell at the historical moment;
reserving a resource block for the VoLTE service of the serving cell according to the minimum value of the VoLTE service capacity index of the serving cell, and using the resource block as reserved service capacity;
under the condition that the reserved service capacity is smaller than a preset value and the VoLTE service volume of the service cell is larger than the reserved service capacity, continuing to allocate resource blocks for the VoLTE service of the service cell, refusing to allocate resource blocks for the common voice service generated by a VoLTE terminal, and redirecting the common voice service to an adjacent cell with smaller VoLTE service volume; and is
And under the condition that the VoLTE service volume of the service cell is larger than a preset value, refusing to allocate resource blocks for the VoLTE service of the service cell, and redirecting the VoLTE service of the service cell to an adjacent cell with smaller VoLTE service volume.
8. A VoLTE service processing apparatus, comprising:
an obtaining unit, configured to obtain service capacity indexes of a serving cell and N neighboring cells at a current time and service capacity indexes of a historical time, where the service capacity indexes include VoLTE service capacity indexes and non-VoLTE service capacity indexes of the serving cell and the neighboring cells, and N is an integer greater than or equal to 1;
the prediction unit is used for predicting the future service capacity index of the service cell according to the current service capacity index and the historical service capacity index of the service cell and the N adjacent cells to obtain a service capacity prediction result of the service cell;
an adjusting unit, configured to dynamically adjust a communication parameter of the serving cell according to a service capacity prediction result of the serving cell;
the step of predicting the future traffic capacity indicator of the serving cell comprises:
calculating the similarity between the current service capacity index of the serving cell and the historical service capacity index;
and taking the service capacity index of the time with the maximum similarity as a service capacity prediction result of the service cell.
9. VoLTE traffic handling device according to claim 8,
the prediction unit is further configured to predict future service capacity of each of the N neighboring cells according to the service capacity index at the current time and the service capacity index at the historical time of the serving cell and the N neighboring cells, so as to obtain service capacity prediction results of the N neighboring cells; and is
The adjusting unit is further configured to cooperatively allocate resource blocks for VoLTE services and non-VoLTE services of the serving cell and the N neighboring cells according to the service capacity prediction result of the serving cell and the service capacity prediction results of the N neighboring cells.
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| CN112312411A (en) * | 2019-07-29 | 2021-02-02 | 中国移动通信集团广东有限公司 | Traffic prediction method of VoLTE service and terminal equipment |
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