CN109429254B - Method and device for evaluating quality of GSM (Global System for Mobile communications) back-tone after frequency fading - Google Patents
Method and device for evaluating quality of GSM (Global System for Mobile communications) back-tone after frequency fading Download PDFInfo
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Abstract
The embodiment of the invention provides a method and a device for evaluating the voice quality after GSM frequency fading, the method firstly obtains a first functional relation of an average interference value and frequency multiplexing degree of each cell and a second functional relation of the average interference value and voice quality ratio of each cell according to a measurement report reported by a terminal in an estimated area and relevant attributes of each cell, then determines a third functional relation of the frequency multiplexing degree and the voice quality ratio, and obtains an evaluation result of the voice quality ratio under the frequency fading scheme according to the frequency multiplexing degrees corresponding to different frequency fading schemes based on the third functional relation. Therefore, the actual influence of the frequency fading on the target network voice quality can be estimated according to the actual condition of the estimated regional cell, the estimation result is accurate, time and labor are saved, and powerful theoretical support can be provided for frequency fading decision. In addition, due to the fact that pre-estimation is carried out, network safety and network performance cannot be influenced, and smooth performance of the frequency quitting decision can be guaranteed.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a method and a device for evaluating the sound quality of a GSM (global system for mobile communications) backward tone.
Background
With the continuous construction of 4G engineering, TD-LTE networks continue to keep the trend of high-speed development. At present, over one million TD-LTE base stations are established nationwide, 4G users are developed to be close to 2 hundred million, 4G networks are gradually improved, user perception is continuously improved, 2G and 3G users are expected to be accelerated to migrate to 4G in the future, namely, frequency reduction needs to be carried out on 2G and 3G services, and frequency resources of 2G and 3G are distributed to 4G or 5G services.
Although more frequency resources after frequency reduction can be utilized by the 4G service or the 5G service, the voice quality of the GSM network with frequency reduction is also affected to some extent.
However, in the process of implementing the invention, the inventor finds that: at present, no related method exists, which can accurately predict the change condition of the voice quality of the GSM network in a specific area after the GSM network exits from a certain bandwidth frequency resource, and provides theoretical support for frequency exiting decision.
The current practice is to perform frequency-fading test point verification by defining a specific area similar to a target network scene so as to determine the influence of frequency fading on the network performance. Due to post-control, on one hand, a large amount of time, manpower and material resources are consumed, on the other hand, the influence degree of actual frequency-quitting test points on a test point regional network is unknown, so that the performance of the test point regional network is uncontrollable, and as the test point region is usually in a network, a large amount of user complaints can be caused in the test point process, and the user perception is reduced; moreover, due to differences between different regional networks, and a plurality of uncontrollable factors, it is still difficult to accurately evaluate the actual influence of the frequency fading on the target network.
Disclosure of Invention
The embodiment of the invention provides a method and a device for evaluating the voice quality of a GSM (global system for mobile communications) after frequency fading, which are used for overcoming the defect that no related method in the prior art can accurately estimate the change condition of the voice quality of a GSM network in a specific area after frequency fading.
In a first aspect, an embodiment of the present invention provides a method for evaluating quality of a GSM fallback speech, including:
determining an optimal frequency division scheme corresponding to each frequency reduction scheme according to the signal intensity of each cell contained in a measurement report reported by a terminal in a pre-estimated region, and acquiring an average per-cell interference value corresponding to each frequency reduction scheme; the optimal frequency division scheme is a frequency division scheme which can enable the total interference value of all cells in the area to be minimum under each frequency reduction scheme;
acquiring frequency reuse degree corresponding to each frequency reduction scheme according to average configuration carrier frequency TRX of each cell in the pre-estimated region and the number of frequency points in each frequency reduction scheme;
determining a first function relation between the average interference value per cell and the frequency reuse degree according to the average interference value per cell and the frequency reuse degree corresponding to each frequency reduction scheme;
acquiring an average per-cell interference value corresponding to each cell set in the pre-estimated region and a voice quality ratio of the cell set corresponding to a preset level according to the signal strength and the voice quality of each cell included in the measurement report;
determining a second functional relation between the average interference value of each cell and the voice quality ratio;
determining a third functional relation between the voice quality ratio and the frequency reuse degree according to the first functional relation and the second functional relation; and acquiring an evaluation result of the voice quality ratio under the frequency backing scheme according to the frequency reuse degrees corresponding to different frequency backing schemes based on the third functional relation.
Optionally, the obtaining, according to the average configured carrier frequency TRX of each cell in the pre-estimated area and the number of frequency points in each frequency reduction scheme, a frequency reuse degree corresponding to each frequency reduction scheme includes:
and dividing the frequency point number in the lower area of each frequency reduction scheme by the average configuration carrier frequency TRX of each cell to obtain the frequency reuse degree corresponding to each frequency reduction scheme.
Optionally, the determining, according to the signal strength of each cell included in the measurement report reported by the terminal in the pre-estimated region, an optimal frequency division scheme corresponding to each frequency reduction scheme includes:
acquiring adjacent frequency interference probability and same frequency interference probability among all cells in an area according to the signal intensity of each cell contained in a measurement report reported by a terminal in the estimated area;
determining to distribute adjacent frequency or same frequency for each cell according to the adjacent frequency interference probability and the same frequency interference probability, performing frequency division operation based on a genetic algorithm, and calculating the total interference value of all cells under different frequency division schemes;
and when the total interference value gradually converges to the minimum value, determining the frequency division scheme at the moment as the optimal frequency division scheme.
Optionally, the determining a first functional relationship between the average interference value per cell and the frequency reuse degree according to the average interference value per cell and the frequency reuse degree corresponding to each frequency reduction scheme includes:
and performing curve fitting on the average interference value per cell and the frequency reuse degree corresponding to each frequency reduction scheme, and determining the functional relation with the highest fitting correlation degree as the first functional relation of the average interference value per cell and the frequency reuse degree.
Optionally, obtaining an average per-cell interference value corresponding to each cell set in the pre-estimated region according to the signal strength of each cell included in the measurement report includes:
acquiring the adjacent channel interference probability and the same frequency interference probability among all cells in the area according to the signal intensity of each cell contained in the measurement report;
acquiring an interference value of each cell based on a preset rule, wherein the preset rule is as follows: for each cell, accumulating the co-frequency interference probability of the cell which is the co-frequency cell and the adjacent frequency interference probability of the cell which is the adjacent frequency cell to obtain the interference value of each cell;
and acquiring an average per-cell interference value corresponding to each cell set in the pre-estimated region according to the interference value of each cell.
Optionally, the determining a second functional relationship between the average per-cell interference value and the voice quality ratio includes:
and performing curve fitting on the average per-cell interference value corresponding to each cell set and the voice quality ratio of the cell set corresponding to the preset level, and determining the functional relation with the highest fitting correlation as a second functional relation between the average per-cell interference value and the voice quality ratio.
Optionally, the method further comprises:
and outputting the evaluation result of the voice quality ratio under the frequency backing-up scheme.
In a second aspect, an embodiment of the present invention provides an apparatus for evaluating quality of a GSM fallback speech, including:
the first obtaining unit is used for determining an optimal frequency division scheme corresponding to each frequency reduction scheme according to the signal intensity of each cell contained in a measurement report reported by a terminal in a pre-estimated region, and obtaining an average per-cell interference value corresponding to each frequency reduction scheme; the optimal frequency division scheme is a frequency division scheme which can enable the total interference value of all cells in the area to be minimum under each frequency reduction scheme;
the second obtaining unit is used for obtaining the frequency reuse degree corresponding to each frequency reduction scheme according to the average configuration carrier frequency TRX of each cell in the pre-estimated region and the number of frequency points in each frequency reduction scheme;
the first determining unit is used for determining a first functional relation between the average interference value per cell and the frequency reuse degree according to the average interference value per cell and the frequency reuse degree corresponding to each frequency reduction scheme;
a third obtaining unit, configured to obtain, according to the signal strength and the voice quality of each cell included in the measurement report, an average per-cell interference value corresponding to each cell set in the pre-estimated region and a voice quality ratio corresponding to a preset level of the cell set;
a second determining unit for determining a second functional relationship between the average per-cell interference value and the voice quality ratio;
the evaluation unit is used for determining a third functional relation between the voice quality ratio and the frequency reuse degree according to the first functional relation and the second functional relation; and acquiring an evaluation result of the voice quality ratio under the frequency backing scheme according to the frequency reuse degrees corresponding to different frequency backing schemes based on the third functional relation.
In a third aspect, a further embodiment of the present invention provides a network-side device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the method according to the first aspect when executing the program.
In a fourth aspect, a further embodiment of the invention provides a computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the steps of the method according to the first aspect.
The embodiment of the invention provides a method and a device for evaluating voice quality after GSM frequency-fading, the method comprises the steps of firstly obtaining a first function relation of an average interference value and frequency reuse degree of each cell and a second function relation of the average interference value and voice quality occupation ratio of each cell according to a measurement report reported by a terminal in a pre-estimated area and relevant attributes of each cell, then taking the average interference value of each cell as an intermediate quantity, determining a third function relation of the frequency reuse degree and the voice quality occupation ratio, taking the third function relation as a model for evaluating the voice quality evaluation after the GSM frequency-fading, and obtaining an evaluation result of the voice quality occupation ratio under the frequency-fading scheme according to the frequency reuse degrees corresponding to different frequency-fading schemes. Therefore, the actual influence of the frequency fading on the target network voice quality can be estimated according to the actual condition of the estimated regional cell, the estimation result is accurate, time and labor are saved, and powerful theoretical support can be provided for frequency fading decision. In addition, due to the fact that pre-estimation is carried out, network safety and network performance cannot be influenced, and smooth performance of the frequency quitting decision can be guaranteed.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flowchart of a method for evaluating quality of a GSM fallback call according to an embodiment of the present invention;
fig. 2 is a schematic diagram of interference probability distribution according to an embodiment of the present invention;
fig. 3 is a schematic diagram of interference between neighboring cells and a serving cell according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a genetic algorithm-based frequency division operation provided by an embodiment of the present invention;
fig. 5 is a schematic diagram illustrating a relationship between an average per-cell interference value and a frequency reuse degree according to an embodiment of the present invention;
fig. 6 is a schematic diagram of the relationship between the average per-cell interference value and the voice quality provided by the embodiment of the present invention;
FIG. 7 is a schematic structural diagram of an embodiment of a device for evaluating quality of a GSM voice after frequency-dropping provided by the present invention;
fig. 8 is a block diagram of an embodiment of a computer device provided in the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
In a first aspect, an embodiment of the present invention provides a method for evaluating quality of a GSM fallback speech, as shown in fig. 1, including:
s101, determining an optimal frequency division scheme corresponding to each frequency reduction scheme according to signal intensity of each cell contained in a measurement report reported by a terminal in a pre-estimated region, and acquiring an average per-cell interference value corresponding to each frequency reduction scheme; the optimal frequency division scheme is a frequency division scheme which can enable the total interference value of all cells in the area to be minimum under each frequency reduction scheme;
s102, acquiring frequency reuse degree corresponding to each frequency reduction scheme according to average configuration carrier frequency TRX of each cell in the pre-estimated region and the number of frequency points in each frequency reduction scheme;
s103, determining a first function relation of the average interference value per cell and the frequency reuse degree according to the average interference value per cell and the frequency reuse degree corresponding to each frequency reduction scheme;
s104, acquiring an average per-cell interference value corresponding to each cell set in the pre-estimated region and a voice quality ratio of the cell set corresponding to a preset level according to the signal strength and the voice quality of each cell included in the measurement report;
s105, determining a second functional relation between the average interference value of each cell and the voice quality ratio;
s106, determining a third functional relation between the voice quality ratio and the frequency reuse degree according to the first functional relation and the second functional relation; and acquiring an evaluation result of the voice quality ratio under the frequency backing scheme according to the frequency reuse degrees corresponding to different frequency backing schemes based on the third functional relation.
The embodiment of the invention provides a method for evaluating voice quality after GSM frequency-off, which comprises the steps of firstly obtaining a first function relation of an average interference value and frequency reuse degree of each cell and a second function relation of the average interference value and voice quality occupation ratio of each cell according to a measurement report reported by a terminal in a pre-estimated area and relevant attributes of each cell, then taking the average interference value of each cell as an intermediate quantity, determining a third function relation of the frequency reuse degree and the voice quality occupation ratio, taking the third function relation as a model for evaluating voice quality evaluation after frequency-off of the pre-estimated area, and obtaining an evaluation result of the voice quality occupation ratio under the frequency-off scheme according to the frequency reuse degrees corresponding to different frequency-off schemes. Therefore, the actual influence of the frequency fading on the target network voice quality can be estimated according to the actual condition of the estimated regional cell, the estimation result is accurate, time and labor are saved, and powerful theoretical support can be provided for frequency fading decision. In addition, due to the fact that pre-estimation is carried out, network safety and network performance cannot be influenced, and smooth performance of the frequency quitting decision can be guaranteed.
For ease of understanding, an alternative specific implementation of each step in the above-described embodiments is described in detail below.
In step S101, "determining the optimal frequency division scheme corresponding to each frequency reduction scheme according to the signal strength of each cell included in the measurement report reported by the terminal in the estimation region, and obtaining the average per-cell interference value corresponding to each frequency reduction scheme" may be implemented in the following manner.
S1011, according to the signal intensity of each cell contained in the measurement report reported by the terminal in the estimated region, acquiring the adjacent frequency interference probability and the same frequency interference probability among all cells in the region;
specifically, according to the GSM specification, in order to perform power control and handover control on a terminal in a call, the network must obtain information about the terminal, which is reported by the terminal. For a terminal in a GSM network, in a call state, the terminal periodically reports measurement reports of a serving cell and neighbor cells measured by the terminal to the network at a period of 480 milliseconds, where each measurement report mainly includes a BCCH (Broadcast Control Channel), a signal level, a call quality, a TA value (time advanced), and the like of the serving cell, and further includes BCCHs, signal levels, BSICs (network color codes), and the like of 6 neighbor cells with strongest signals. Therefore, MR data of more than one week can be collected for all cells in the estimated region, and virtual neighbor cells or test frequency points are added during the MR collection period, so that signals of all interference cells around the cells can be accurately measured. Since the measurement report transmitted by the terminal uplink includes the signal strength between the cells at the locations of all users in the network when the users are talking in all time periods, according to the requirement of engineering on the carrier-to-interference ratio on the GSM specification, as shown in fig. 2, the measurement report can be respectively subjected to sample statistics.
The C/I sampling points (carrier-to-interference ratio, interference protection ratio refers to the ratio of the received useful signal level to all non-useful signal levels) between the two cells are redistributed and integrated. Three-stage sampling point data with C/I of (- ∞, -6) (-6, 12) (12, ∞) is obtained. Are respectively defined as: number of strong interference samples (P _ HIGH), number of medium interference samples (P _ MID), number of weak interference samples (P _ LOW).
According to the requirements on the co-channel protection ratio and the adjacent-channel protection ratio in the GSM specification, the interference situation of the neighboring cell to the serving cell can be obtained as shown in fig. 3.
For CELL i (CELL i), the interference probability of its neighboring CELL j to it can be directly derived from the sampling point fraction in the MR report. Represented by the following formulae (1) and (2):
the inter-cell adjacent channel interference probability is:
Pl_ij＝P_HIGHij/(P_HIGHij+P_MIDij+P_LOWij) (1)
inter-cell co-channel interference probability:
Pt_ij＝(P_HIGHij+P_MIDij)/(P_HIGHij+P_MIDij+P_LOWij) (2)
according to the formulas (1) and (2), the co-channel interference probability interference matrix and the adjacent-channel interference probability interference matrix between the cells in the pre-estimated area shown in the tables 1 and 2 can be obtained.
TABLE 1 probability interference matrix of co-channel interference between cells
| Same frequency interference | Cell_1 | Cell_2 | Cell_3 | ……. | Cell_n |
| Cell_1 | Pt_21 | Pt_31 | ……. | Pt_n1 | |
| Cell_2 | Pt_12 | Pt_32 | ……. | Pt_n2 | |
| Cell_3 | Pt_13 | Pt_23 | ……. | Pt_n3 | |
| ……. | ……. | ……. | ……. | ……. | |
| Cell_n | Pt_ln | Pt_2n | Pt_3n | ……. |
TABLE 2 inter-cell adjacent channel interference probability interference matrix
Thus, the signal interference situation among all cells in the network is obtained to form an interference matrix.
S1012, determining to allocate adjacent frequency or same frequency to each cell according to the adjacent frequency interference probability and the same frequency interference probability, performing frequency division operation based on a genetic algorithm, and calculating total interference values of all cells under different frequency division schemes;
specifically, the simulation operation of the automatic frequency planning platform: different frequency-reducing schemes are set, the number of the frequency-reducing schemes is at least not less than 5, and the different frequency-reducing schemes correspond to different frequency reuse degrees. And performing frequency division operation by adopting a genetic algorithm through an automatic frequency optimization platform aiming at different frequency reduction schemes.
And S1013, when the total interference value gradually converges to the minimum value, determining the frequency division scheme at the moment as the optimal frequency division scheme.
Specifically, as shown in fig. 4, when the total interference gradually converges and is not limited to be close to a certain minimum value, the frequency division scheme at this time may be regarded as an optimal frequency division scheme, the total interference values of the cells in the estimated region under different frequency reduction schemes, that is, under different frequency reusability, are output, and the average interference value per cell in the region is obtained by dividing the total interference value by the number of the cells in the estimated region and is recorded.
In step S102, "obtaining the frequency reuse degree corresponding to each frequency reduction scheme according to the average configured carrier frequency TRX of each cell in the pre-estimated region and the number of frequency points in each frequency reduction scheme" may specifically include:
and dividing the frequency point number in the lower area of each frequency reduction scheme by the average configuration carrier frequency TRX of each cell to obtain the frequency reuse degree corresponding to each frequency reduction scheme.
The corresponding relationship between the frequency reuse degree, the total interference value and the average interference value per cell corresponding to each frequency-dropping scheme can be obtained through step S101 and step S102, which can be seen in table 3.
TABLE 3 frequency reuse degree and interference value under different frequency-dropping schemes
The frequency-reducing schemes are preset, the number of cells is not changed, and the number of frequency points is obtained by the following method: for the bandwidth of the GSM900, under the condition of not fading, the frequency point number is 94, and occupies the bandwidth of 19M, that is, one frequency point occupies the bandwidth of 19M/94 ≈ 0.2M. For the scheme of frequency fading 5M, the number of frequency points is reduced by 5M/0.2M to 25, so that the number of frequency points is reduced to 94-25 to 69, and so on for the frequency point number obtaining methods of other frequency fading schemes. Here, the frequency reuse degree is the number of frequency points/cell TRX. The total interference value here is a value obtained by convergence of the genetic algorithm in step S101, and the average interference value per cell here is the total interference value/number of cells.
In step S103, "determining a first functional relationship between the average interference value per cell and the frequency reuse degree according to the average interference value per cell and the frequency reuse degree corresponding to each frequency reduction scheme" may specifically include:
and performing curve fitting on the average interference value per cell and the frequency reuse degree corresponding to each frequency reduction scheme, and determining the functional relation with the highest fitting correlation degree as the first functional relation of the average interference value per cell and the frequency reuse degree.
In particular, fig. 5 shows a first functional relationship obtained after one of the fits. Firstly, marking out points corresponding to each frequency fading scheme by taking an average interference value of each cell as an x axis and frequency reuse degree as a y axis, and then carrying out curve fitting on each discrete point. Degree of fitting R2Up to 0.9646, where y is 480.59x-1.755I.e. the first functional relationship obtained after fitting.
In step S104, "obtaining the average per-cell interference value corresponding to each cell set in the estimated region according to the signal strength of each cell included in the measurement report" may be implemented in the following manner.
S1041, according to the signal intensity of each cell contained in the measurement report, obtaining the adjacent channel interference probability and the same frequency interference probability among all cells in the area;
this step is explained in S1011 above.
S1042, obtaining an interference value of each cell based on a preset rule, where the preset rule is: for each cell, accumulating the co-frequency interference probability of the cell which is the co-frequency cell and the adjacent frequency interference probability of the cell which is the adjacent frequency cell to obtain the interference value of each cell;
specifically, an automatic frequency planning platform (AFOS platform) is used for evaluating a frequency scheme of the pre-estimated area and outputting a cell interference list. The cell interference list is shown in table 4.
Table 4 cell interference list
The first column is the ID of each cell, and the second column is the interference value of each cell. This interference value is obtained by the interference matrix shown in tables 1 and 2. Specifically, assume that the cell ID in the first row is the cell ID of the a cell, and the co-channel interference probability with the B cell is a1, the co-channel interference probability with the C cell is a2, and the co-channel interference probability with the D cell is a3 in table 1. Under the condition of only considering co-channel interference, if the cell a and the cell B have different frequencies but have the same frequencies as the cell C and the cell D according to the frequency division scheme, the interference value is a2+ a 3. If both co-channel interference and adjacent channel interference are considered, the interference probabilities of the adjacent channel interference are also accumulated. Specifically, assume that the co-channel interference probability between cell a and cell B in table 1 is a1, the co-channel interference probability between cell C is a2, and the co-channel interference probability between cell D is a 3; in table 2, the probability of a and E adjacent channel interference is b1, and the probability of F adjacent channel interference is b 2. If the frequency of the cell A is different from that of the cell B, is the same as that of the cell C and the cell D, is the same as that of the adjacent frequency E, and is different from that of the adjacent frequency F, the interference value is a2+ a3+ B1.
S1043, obtaining average interference value of each cell corresponding to each cell set in the pre-estimated area according to the interference value of each cell.
For example, there are n cell sets in the estimated region, and the number of cells in each cell set is 50, and then an average per-cell interference value corresponding to each cell set is calculated according to the cell interference value obtained in step S1042.
After the average per-cell interference is obtained, the voice quality ratio corresponding to the preset level of each cell set can be obtained according to the voice quality contained in the measurement report. A speech quality ratio of 0 to 4 can be obtained, for example, with a total of 8 levels. Therefore, the corresponding relation between the average per-cell interference and the voice quality ratio corresponding to each cell set can be obtained. Table 5 shows a specific example of the correspondence between the average per-cell interference and the voice quality ratio.
Table 5 average interference per cell to voice quality ratio
The step S105 of determining the second functional relationship between the average interference value per cell and the voice quality may specifically include:
and performing curve fitting on the average per-cell interference value corresponding to each cell set and the voice quality ratio of the cell set corresponding to the preset level, and determining the functional relation with the highest fitting correlation as a second functional relation between the average per-cell interference value and the voice quality ratio.
In particular, fig. 6 shows the second functional relationship obtained after one of the fits. Firstly, the average interference value of each cell is used as an x axis, the voice quality is used as a z axis, points corresponding to each cell set are marked, and then curve fitting is carried out on each discrete point. Degree of fitting R2Up to 0.9541, where z is 0.9865x-0.002I.e. the second functional relationship obtained after fitting.
Step S106, determining a third functional relation between the voice quality ratio and the frequency reuse degree according to the first functional relation and the second functional relation; based on the third functional relationship, obtaining the evaluation result of the voice quality ratio under the frequency cancellation scheme according to the frequency reuse degrees corresponding to different frequency cancellation schemes may specifically include:
and obtaining a third functional relation between the voice quality ratio and the frequency multiplexing degree by utilizing the correlation between the first functional relation and the second functional relation.
Taking the first functional relationship and the second functional relationship shown in fig. 5 and fig. 6 as an example, the third functional relationship may be:
z＝0.9865*(480.59*x-1.755)-0.002＝K*x0.00351 (3)
wherein z is the voice quality ratio, x is the frequency reuse degree, and K is a constant.
Then, according to different frequency reuse degrees corresponding to different set frequency-quitting schemes, the voice quality under the frequency-quitting scheme can be obtained, and the voice quality is output to be used for the staff to decide the proper frequency-quitting scheme.
In a second aspect, an embodiment of the present invention provides an apparatus for evaluating quality of a GSM fallback speech, as shown in fig. 7, including:
a first obtaining unit 201, configured to determine an optimal frequency division scheme corresponding to each frequency reduction scheme according to signal strength of each cell included in a measurement report reported by a terminal in an estimated region, and obtain an average per-cell interference value corresponding to each frequency reduction scheme; the optimal frequency division scheme is a frequency division scheme which can enable the total interference value of all cells in the area to be minimum under each frequency reduction scheme;
a second obtaining unit 202, configured to obtain frequency reuse degrees corresponding to each frequency reduction scheme according to an average configured carrier frequency TRX of each cell in the pre-estimated area and frequency points in each frequency reduction scheme;
a first determining unit 203, configured to determine a first functional relationship between the average interference value per cell and the frequency reuse degree according to the average interference value per cell and the frequency reuse degree corresponding to each frequency reduction scheme;
a third obtaining unit 204, configured to obtain, according to the signal strength and the voice quality of each cell included in the measurement report, an average per-cell interference value corresponding to each cell set in the pre-estimated region and a voice quality ratio corresponding to a preset level of the cell set;
a second determining unit 205, configured to determine a second functional relationship between the average per-cell interference value and the voice quality;
an evaluation unit 206, configured to determine a third functional relationship between the voice quality ratio and the frequency reuse degree according to the first functional relationship and the second functional relationship; and acquiring an evaluation result of the voice quality ratio under the frequency backing scheme according to the frequency reuse degrees corresponding to different frequency backing schemes based on the third functional relation.
Optionally, the second obtaining unit 202 is further configured to: and dividing the frequency point number in the lower area of each frequency reduction scheme by the average configuration carrier frequency TRX of each cell to obtain the frequency reuse degree corresponding to each frequency reduction scheme.
Optionally, the first obtaining unit 201 is further configured to:
acquiring adjacent frequency interference probability and same frequency interference probability among all cells in an area according to the signal intensity of each cell contained in a measurement report reported by a terminal in the estimated area;
determining to distribute adjacent frequency or same frequency for each cell according to the adjacent frequency interference probability and the same frequency interference probability, performing frequency division operation based on a genetic algorithm, and calculating the total interference value of all cells under different frequency division schemes;
and when the total interference value gradually converges to the minimum value, determining the frequency division scheme at the moment as the optimal frequency division scheme.
Optionally, the first determining unit 203 is further configured to:
and performing curve fitting on the average interference value per cell and the frequency reuse degree corresponding to each frequency reduction scheme, and determining the functional relation with the highest fitting correlation degree as the first functional relation of the average interference value per cell and the frequency reuse degree.
Optionally, the third obtaining unit 204 is further configured to:
acquiring the adjacent channel interference probability and the same frequency interference probability among all cells in the area according to the signal intensity of each cell contained in the measurement report;
acquiring an interference value of each cell based on a preset rule, wherein the preset rule is as follows: for each cell, accumulating the co-frequency interference probability of the cell which is the co-frequency cell and the adjacent frequency interference probability of the cell which is the adjacent frequency cell to obtain the interference value of each cell;
and acquiring an average per-cell interference value corresponding to each cell set in the pre-estimated region according to the interference value of each cell.
Optionally, the second determining unit 205 is further configured to:
and performing curve fitting on the average per-cell interference value corresponding to each cell set and the voice quality ratio of the cell set corresponding to the preset level, and determining the functional relation with the highest fitting correlation as a second functional relation between the average per-cell interference value and the voice quality ratio.
Optionally, the apparatus further comprises: and the output unit is used for outputting the evaluation result of the voice quality ratio under the frequency backing scheme.
Since the GSM frequency-back voice quality evaluation device described in this embodiment is a device that can execute the GSM frequency-back voice quality evaluation method in the embodiment of the present invention, based on the GSM frequency-back voice quality evaluation method described in the embodiment of the present invention, a person skilled in the art can know the specific implementation manner and various variations of the GSM frequency-back voice quality evaluation device in this embodiment, so that how the GSM frequency-back voice quality evaluation device implements the GSM frequency-back voice quality evaluation method in the embodiment of the present invention is not described in detail here. The device used by the method for evaluating the quality of the GSM voice after frequency-dropping in the embodiment of the present invention is all within the protection scope of the present application.
Fig. 8 shows a block diagram of a computer device according to an embodiment of the present invention.
Referring to fig. 8, the computer apparatus includes: a processor (processor)301, a memory (memory)302, and a bus 303;
the processor 301 and the memory 302 complete communication with each other through the bus 303;
the processor 301 is configured to call program instructions in the memory 302 to perform the methods provided by the above-described method embodiments.
Embodiments of the present invention also disclose a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, which when executed by a computer, enable the computer to perform the methods provided by the above-mentioned method embodiments.
Embodiments of the present invention also provide a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions cause the computer to execute the methods provided by the above method embodiments.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
Some component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components of a gateway, proxy server, system according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
Claims (10)
1. A method for evaluating the quality of a GSM voice after frequency-off is characterized by comprising the following steps:
determining an optimal frequency division scheme corresponding to each frequency reduction scheme according to the signal intensity of each cell contained in a measurement report reported by a terminal in a pre-estimated region, and acquiring an average per-cell interference value corresponding to each frequency reduction scheme; the optimal frequency division scheme is a frequency division scheme which can enable the total interference value of all cells in the area to be minimum under each frequency reduction scheme;
acquiring frequency reuse degree corresponding to each frequency reduction scheme according to average configuration carrier frequency TRX of each cell in the pre-estimated region and the number of frequency points in each frequency reduction scheme;
determining a first function relation between the average interference value per cell and the frequency reuse degree according to the average interference value per cell and the frequency reuse degree corresponding to each frequency reduction scheme;
acquiring an average per-cell interference value corresponding to each cell set in the pre-estimated region and a voice quality ratio of the cell set corresponding to a preset level according to the signal strength and the voice quality of each cell included in the measurement report;
determining a second functional relation between the average interference value of each cell and the voice quality ratio;
determining a third functional relation between the voice quality ratio and the frequency reuse degree according to the first functional relation and the second functional relation; and acquiring an evaluation result of the voice quality ratio under the frequency backing scheme according to the frequency reuse degrees corresponding to different frequency backing schemes based on the third functional relation.
2. The method of claim 1, wherein the obtaining the frequency reuse degree corresponding to each frequency reduction scheme according to the average configured carrier frequency TRX of each cell in the pre-estimated area and the number of frequency points in each frequency reduction scheme comprises:
and dividing the frequency point number in the lower area of each frequency reduction scheme by the average configuration carrier frequency TRX of each cell to obtain the frequency reuse degree corresponding to each frequency reduction scheme.
3. The method of claim 1, wherein the determining an optimal frequency division scheme corresponding to each frequency reduction scheme according to the signal strength of each cell included in the measurement report reported by the terminal in the pre-estimated region comprises:
acquiring adjacent frequency interference probability and same frequency interference probability among all cells in an area according to the signal intensity of each cell contained in a measurement report reported by a terminal in the estimated area;
determining to distribute adjacent frequency or same frequency for each cell according to the adjacent frequency interference probability and the same frequency interference probability, performing frequency division operation based on a genetic algorithm, and calculating the total interference value of all cells under different frequency division schemes;
and when the total interference value gradually converges to the minimum value, determining the frequency division scheme at the moment as the optimal frequency division scheme.
4. The method of claim 1, wherein determining the first functional relationship between the average interference per cell and the frequency reuse degree according to the average interference per cell and the frequency reuse degree corresponding to each frequency reduction scheme comprises:
and performing curve fitting on the average interference value per cell and the frequency reuse degree corresponding to each frequency reduction scheme, and determining the functional relation with the highest fitting correlation degree as the first functional relation of the average interference value per cell and the frequency reuse degree.
5. The method of claim 1, wherein obtaining an average per-cell interference value corresponding to each cell set in the pre-estimated region according to the signal strength of each cell included in the measurement report comprises:
acquiring the adjacent channel interference probability and the same frequency interference probability among all cells in the area according to the signal intensity of each cell contained in the measurement report;
acquiring an interference value of each cell based on a preset rule, wherein the preset rule is as follows: for each cell, accumulating the co-frequency interference probability of the cell which is the co-frequency cell and the adjacent frequency interference probability of the cell which is the adjacent frequency cell to obtain the interference value of each cell;
and acquiring an average per-cell interference value corresponding to each cell set in the pre-estimated region according to the interference value of each cell.
6. The method of claim 1, wherein determining a second functional relationship between an average per-cell interference value and voice quality comprises:
and performing curve fitting on the average per-cell interference value corresponding to each cell set and the voice quality ratio of the cell set corresponding to the preset level, and determining the functional relation with the highest fitting correlation as a second functional relation between the average per-cell interference value and the voice quality ratio.
7. The method of claim 1, further comprising:
and outputting the evaluation result of the voice quality ratio under the frequency backing-up scheme.
8. A GSM fallback voice quality assessment apparatus, comprising:
the first obtaining unit is used for determining an optimal frequency division scheme corresponding to each frequency reduction scheme according to the signal intensity of each cell contained in a measurement report reported by a terminal in a pre-estimated region, and obtaining an average per-cell interference value corresponding to each frequency reduction scheme; the optimal frequency division scheme is a frequency division scheme which can enable the total interference value of all cells in the area to be minimum under each frequency reduction scheme;
the second obtaining unit is used for obtaining the frequency reuse degree corresponding to each frequency reduction scheme according to the average configuration carrier frequency TRX of each cell in the pre-estimated region and the number of frequency points in each frequency reduction scheme;
the first determining unit is used for determining a first functional relation between the average interference value per cell and the frequency reuse degree according to the average interference value per cell and the frequency reuse degree corresponding to each frequency reduction scheme;
a third obtaining unit, configured to obtain, according to the signal strength and the voice quality of each cell included in the measurement report, an average per-cell interference value corresponding to each cell set in the pre-estimated region and a voice quality ratio corresponding to a preset level of the cell set;
a second determining unit for determining a second functional relationship between the average per-cell interference value and the voice quality ratio;
the evaluation unit is used for determining a third functional relation between the voice quality ratio and the frequency reuse degree according to the first functional relation and the second functional relation; and acquiring an evaluation result of the voice quality ratio under the frequency backing scheme according to the frequency reuse degrees corresponding to different frequency backing schemes based on the third functional relation.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method according to any of claims 1-7 are implemented when the program is executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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