CN108769994B - Frequency point determination method and device - Google Patents
Frequency point determination method and device Download PDFInfo
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- CN108769994B CN108769994B CN201810687620.5A CN201810687620A CN108769994B CN 108769994 B CN108769994 B CN 108769994B CN 201810687620 A CN201810687620 A CN 201810687620A CN 108769994 B CN108769994 B CN 108769994B
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Abstract
The invention discloses a frequency point determination method and device. The method comprises the following steps: the method comprises the steps of collecting macro station information corresponding to each candidate frequency point according to an interception link, determining a priority matrix according to each candidate frequency point, the priority of each candidate frequency point and the adjacent frequency priority of each candidate frequency point, constructing a symbolic function according to the priority of the candidate frequency point corresponding to each row of the priority matrix, processing the priority matrix according to the symbolic function to obtain a symbolic matrix, carrying out X-axis projection on the symbolic matrix to obtain a first projection vector, carrying out Y-axis projection on the symbolic matrix to obtain a second projection vector, determining a result vector according to the first projection vector and the second projection vector, and determining the candidate frequency point corresponding to the maximum value in the result vector as an optimal frequency point.
Description
Technical Field
The embodiment of the invention relates to a communication technology, in particular to a frequency point determining method and device.
Background
With the development of communication technology, the arrangement of Long Term Evolution (LTE) Small stations (Small cells) is increasing. The LTE small station can be deployed for carrying out fine research and expansion aiming at hot spots and coverage key areas, so that accurate coverage and fine expansion are achieved, and the perception of end users is enhanced. After the LTE small station is deployed, the optimal frequency point of the LTE small station needs to be set, so as to maximally switch the terminal equipment into the cell of the LTE small station.
At present, the optimal frequency point of the LTE small station is determined by a field personnel site survey mode, and the specific process is as follows: the method comprises the steps that field personnel acquire macro station information through a special terminal, then an optimal frequency point is analyzed according to the acquired macro station information through personal experience or other methods, and the frequency point of an LTE small station is set as the optimal frequency point.
However, in the above process, the optimal frequency point needs to be determined manually, and the finally determined result is related to the service capability of field personnel, so that the efficiency is low and the error is large.
Disclosure of Invention
The invention provides a frequency point determination method and a frequency point determination device, which are used for solving the technical problems of low efficiency and large error in the current optimal frequency point determination process.
In a first aspect, an embodiment of the present invention provides a frequency point determining method, which is applied to an LTE small station, and the method includes:
acquiring macro station information corresponding to each candidate frequency point according to the interception link; the macro station information comprises the priority of a candidate frequency point corresponding to the macro station information and the adjacent frequency priority of the candidate frequency point corresponding to the macro station information;
determining a priority matrix according to each candidate frequency point, the priority of each candidate frequency point and the adjacent frequency priority of each candidate frequency point; all rows in the priority matrix sequentially correspond to candidate frequency points in a candidate frequency point sequence arranged according to a preset sequence, all columns sequentially correspond to the candidate frequency points in the candidate frequency point sequence, the ith row and the ith column element in the priority matrix represent the priority of the ith candidate frequency point in the candidate frequency point sequence, the ith row and the jth column element represent the adjacent frequency priority of the ith candidate frequency point relative to the jth candidate frequency point, i and j are integers which are more than 0 and less than or equal to the total number of the candidate frequency points, and i and j are not equal;
constructing a symbol function according to the priority of the candidate frequency point corresponding to each row aiming at each row of the priority matrix, and processing the priority matrix according to the symbol function to obtain a symbol matrix; wherein, the elements in the symbol matrix are-1, 0 or 1;
carrying out X-axis projection on the symbol matrix to obtain a first projection vector, and carrying out Y-axis projection on the symbol matrix to obtain a second projection vector;
determining a result vector according to the first projection vector and the second projection vector;
and determining the candidate frequency point corresponding to the maximum value in the result vector as the optimal frequency point.
In a second aspect, an embodiment of the present invention further provides a device for determining a frequency point, including:
the acquisition module is used for acquiring macro station information corresponding to each candidate frequency point according to the interception link; the macro station information comprises the priority of a candidate frequency point corresponding to the macro station information and the adjacent frequency priority of the candidate frequency point corresponding to the macro station information;
the first determining module is used for determining a priority matrix according to each candidate frequency point, the priority of each candidate frequency point and the adjacent frequency priority of each candidate frequency point; all rows in the priority matrix sequentially correspond to candidate frequency points in a candidate frequency point sequence arranged according to a preset sequence, all columns sequentially correspond to the candidate frequency points in the candidate frequency point sequence, the ith row and the ith column element in the priority matrix represent the priority of the ith candidate frequency point in the candidate frequency point sequence, the ith row and the jth column element represent the adjacent frequency priority of the ith candidate frequency point relative to the jth candidate frequency point, i and j are integers which are more than 0 and less than or equal to the total number of the candidate frequency points, and i and j are not equal;
the processing module is used for constructing a symbol function according to the priority of the candidate frequency point corresponding to each row aiming at each row of the priority matrix and processing the priority matrix according to the symbol function to obtain a symbol matrix; wherein, the elements in the symbol matrix are-1, 0 or 1;
the projection module is used for carrying out X-axis projection on the symbol matrix to obtain a first projection vector and carrying out Y-axis projection on the symbol matrix to obtain a second projection vector;
a second determining module, configured to determine a result vector according to the first projection vector and the second projection vector;
and the third determining module is used for determining the candidate frequency point corresponding to the maximum value in the result vector as the optimal frequency point.
In a third aspect, an embodiment of the present invention further provides a communication device, where the communication device includes:
one or more processors;
a memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the frequency point determination method according to the first aspect.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the frequency point determining method according to the first aspect.
According to the frequency point determining method and device provided by the embodiment of the invention, macro station information corresponding to each candidate frequency point is acquired according to an interception link, a priority matrix is determined according to each candidate frequency point, the priority of each candidate frequency point and the adjacent frequency priority of each candidate frequency point, a symbolic function is constructed according to the priority of the candidate frequency point corresponding to each row of the priority matrix, the priority matrix is processed according to the symbolic function to obtain a symbolic matrix, X-axis projection is carried out on the symbolic matrix to obtain a first projection vector, Y-axis projection is carried out on the symbolic matrix to obtain a second projection vector, the candidate frequency point corresponding to the maximum value in the result vector is determined as the optimal frequency point according to the first projection vector and the second projection vector, on one hand, the fact that the LTE small station can determine the optimal frequency point in a self-adaptive mode is achieved, manual intervention is not needed in the process, and the subjective experience of optimal site personnel is relied, the determining efficiency is high, errors are small, on the other hand, plug and play of the LTE small station are achieved, manpower is saved, and the deployment cost of the LTE small station is reduced.
Drawings
Fig. 1 is a schematic diagram of an application scenario of a frequency point determination method according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of an embodiment of a frequency point determining method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an embodiment of a frequency point determining apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a communication device according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Fig. 1 is a schematic diagram of an application scenario of the frequency point determination method according to the embodiment of the present invention. As shown in fig. 1, the frequency point determining method provided in the embodiment of the present invention is applied to an LTE small station 11. At present, in order to achieve accurate coverage and fine capacity expansion, the LTE small station 11 needs to be deployed in a hot spot or a coverage key area. After the LTE small station 11 is deployed, it is necessary to determine an optimal frequency point of the LTE small station 11, so as to maximally switch the terminal device 12 into a cell of the LTE small station 11. In the embodiment of the invention, after the LTE small station is deployed, the LTE small station can self-adaptively determine the optimal frequency point according to the received macro station information of the macro station 13 and send out a radio frequency signal according to the optimal frequency point. In the process of determining the frequency point, manual intervention is not needed, the efficiency is high, and the error is small.
Fig. 2 is a schematic flowchart of an embodiment of a frequency point determining method according to an embodiment of the present invention. As shown in fig. 2, the method for determining a frequency point provided in the embodiment of the present invention includes the following steps:
step 201: and acquiring macro station information corresponding to each candidate frequency point according to the interception link.
The macro station information comprises the priority of the candidate frequency point corresponding to the macro station information and the adjacent frequency priority of the candidate frequency point corresponding to the macro station information.
Specifically, the execution subject of the embodiment of the present invention is an LTE small station.
The candidate frequency point is determined by the staff in advance, the number of the candidate frequency points can be multiple, and finally the optimal frequency point determined by the LTE is one of the candidate frequency points.
And the deployed LTE small station acquires macro station information corresponding to each candidate frequency point according to the interception link. The interception link involved in the embodiments of the present invention is a radio frequency link that can receive data.
The macro station Information in the embodiment of the present invention includes a System Information Block (SIB) 3 and a SIB 5. The SIB 3 includes the priority of the candidate frequency point corresponding to the macro station information, and the SIB5 includes the neighboring frequency priority of the candidate frequency point corresponding to the macro station information. If the candidate frequency point corresponding to the macro station information has a plurality of adjacent frequencies, the SIB5 includes a plurality of adjacent frequency priorities.
After the LTE small station acquires the macro station information corresponding to each candidate frequency point, the priority of each candidate frequency point and the priority of the adjacent frequency of each candidate frequency point can be determined from SIB 3 and SIB5 of each macro station information.
Step 202: and determining a priority matrix according to each candidate frequency point, the priority of each candidate frequency point and the adjacent frequency priority of each candidate frequency point.
All rows in the priority matrix sequentially correspond to the candidate frequency points in the candidate frequency point sequence arranged according to the preset sequence, and all columns sequentially correspond to the candidate frequency points in the candidate frequency point sequence. The ith row and ith column elements in the priority matrix represent the priority of the ith candidate frequency point in the candidate frequency point sequence, and the ith row and jth column elements represent the adjacent frequency priority of the ith candidate frequency point relative to the jth candidate frequency point. And i and j are integers which are larger than 0 and smaller than or equal to the total number of the candidate frequency points, and the i and the j are not equal.
Specifically, after determining the priority of each candidate frequency point and the adjacent frequency priority of each candidate frequency point, in the embodiment of the present invention, the LTE small station may construct a priority matrix according to the above information.
The LTE small station can sequence a plurality of candidate frequency points according to a certain preset sequence to obtain a candidate frequency point sequence. In the priority matrix, all rows correspond to the candidate frequency points of the candidate frequency point sequence in sequence, and all columns correspond to the candidate frequency points of the candidate frequency point sequence in sequence, which means that the first row in the priority matrix corresponds to the first candidate frequency point in the candidate frequency point sequence, the second row corresponds to the second candidate frequency point in the candidate frequency point sequence, \\ 8230 \\ 8230, the Mth row corresponds to the Mth candidate frequency point in the candidate frequency point sequence, and correspondingly, the Mth column in the priority matrix corresponds to the Mth candidate frequency point in the candidate frequency point sequence.
Diagonal element A in priority matrix ii The priority of the candidate frequency point corresponding to the ith row (i.e. the ith candidate frequency point in the candidate frequency point sequence) and other elements A are shown ij The adjacent frequency priority of the candidate frequency point corresponding to the ith row relative to the candidate frequency point corresponding to the jth column (namely, the jth candidate frequency point in the candidate frequency point sequence) is shown.
A specific implementation manner of step 202 is as follows:
sequencing a plurality of candidate frequency points according to the sequence from small to large or the sequence from large to small to obtain a candidate frequency point sequence; and then determining the priority of the ith candidate frequency point in the candidate frequency point sequence as the ith row and ith column element in the priority matrix, and determining the priority of the ith candidate frequency point relative to the adjacent frequency of the jth candidate frequency point as the ith row and jth column element in the priority matrix.
It should be noted that the multiple candidate frequency points may also be sequenced according to other sequences, which is not limited in this embodiment of the present invention.
Step 203: and aiming at each row of the priority matrix, constructing a symbol function according to the priority of the candidate frequency point corresponding to each row, and processing the priority matrix according to the symbol function to obtain the symbol matrix.
Wherein the elements in the symbol matrix are-1, 0 or 1.
Specifically, after the priority matrix is determined, the priority matrix may be symbolized, and elements in the priority matrix may be transformed into-1, 0, or 1 to form a symbol matrix.
The priority matrix may be symbolized using a sign function. One sign function is constructed for each row in the priority matrix. One possible implementation is: and determining the Sign function of each line as Sign (x-N) according to the priority of the candidate frequency point corresponding to each line. Wherein x represents an element in the priority matrix, N is the priority of the candidate frequency point corresponding to each row, when x is greater than N, sign (x-N) is 1, when x is equal to N, sign (x-N) is 0, and when x is less than N, sign (x-N) is-1.
After the Sign function is determined, for each row, the elements in the priority matrix are substituted into Sign (x-N), and the obtained result is determined as the element of the corresponding position in the Sign matrix, that is, the element a in the priority matrix is determined ij And substituting the symbol function into the ith row, and determining the obtained value as the element of the ith row and the jth column in the symbol matrix.
Step 204: and carrying out X-axis projection on the symbol matrix to obtain a first projection vector, and carrying out Y-axis projection on the symbol matrix to obtain a second projection vector.
Specifically, the process of performing X-axis projection on the symbol matrix is as follows: a first accumulated sum of all elements of each row of the symbol matrix is determined, and a vector consisting of the first accumulated sums of all rows is determined as a first projection vector. I.e. determining a first accumulated sum of all elements of a first line, determining a first accumulated sum of all elements of a second line, \8230;, until determining a first accumulated sum of all elements of a last line, composing these first accumulated sums into a first projection vector in order from the first line to the last line.
The process of Y-axis projection of the symbol matrix is: a second cumulative sum of all elements of each column of the symbol matrix is determined, and a vector composed of the second cumulative sums of all columns is determined as a second projection vector. I.e. determining a second cumulative sum of all elements of the first column, determining a second cumulative sum of all elements of the second column, \8230;, until a second cumulative sum of all elements of the last column is determined, and composing these second cumulative sums into a second projection vector in order from the first column to the last column.
Step 205: and determining a result vector according to the first projection vector and the second projection vector.
One possible implementation is to take absolute values of elements in the first projection vector and the second projection vector, add the elements at corresponding positions, and determine the sum vector after the addition as the result vector.
Another possible implementation manner is that, after taking an absolute value of an element in the first projection vector, the absolute value is multiplied by a first preset parameter to form a processed first projection vector, and after taking an absolute value of an element in the second projection vector, the absolute value is multiplied by a second preset parameter to form a processed second projection vector, wherein the second preset parameter is larger than the first preset parameter; and adding elements in the processed first projection vector and elements at the corresponding position of the processed second projection vector, and determining a vector formed by adding the sum as a result vector.
Alternatively, the first preset parameter may be 0.2, and the second preset parameter may be 0.8. The weight of the element in the first projection vector and the weight of the element in the second projection vector in the result vector can be adjusted by multiplying the absolute value of the element in the first projection vector by the first preset parameter and the absolute value of the element in the second projection vector by the second preset parameter. Because the second preset parameter is greater than the first preset parameter, the weight of the element in the second projection vector in the result vector is increased, and the accuracy of the subsequently determined optimal frequency point is improved conveniently.
Step 206: and determining the candidate frequency point corresponding to the maximum value in the result vector as the optimal frequency point.
In a possible implementation manner, only one maximum value exists in the result vector, and the candidate frequency point corresponding to the maximum value is determined as the optimal frequency point. The specific process is to determine the position of the maximum value in the result vector, and determine the candidate frequency point corresponding to the position of the maximum value in the candidate frequency point sequence as the optimal frequency point. For example, if the 5 th element in the result vector is the maximum value, the 5 th candidate frequency point in the candidate frequency point sequence is determined as the optimal frequency point.
In another possible implementation manner, the macro station information further includes Reference Signal Received Power (RSRP) of the candidate frequency points corresponding to the macro station information. In this implementation manner, if there are multiple maximum values in the result vector, the process of determining the optimal frequency point is as follows: and determining each RSRP of the multiple candidate frequency points corresponding to the maximum value, and determining the candidate frequency point corresponding to the maximum RSRP in the multiple RSRPs as an optimal frequency point. Namely, when a plurality of maximum values exist in the result vector, the optimum frequency point is determined by combining the RSRP of the candidate frequency point corresponding to the maximum value.
And after the optimal frequency point is determined, the LTE small station sends out a radio frequency signal according to the optimal frequency point.
The above process is described below as a specific example.
Assuming that there are 5 candidate frequency points in the embodiment of the present invention, the candidate frequency point numbers (the frequency point numbers have a one-to-one correspondence with the frequency points, and the frequency point numbers in this example may be equivalent to the frequency points in the above embodiment) corresponding to the 5 candidate frequency points are respectively: 37900. 38098, 40936, 38950 and 38400. The macro station information corresponding to the 5 candidate frequency point numbers acquired by the LTE small station in step 201 is respectively: (37900 has a priority of 4, 37900 has an adjacent channel priority of 5 with respect to 38098, 37900 has an adjacent channel priority of 7 with respect to 40936, 37900 has an adjacent channel priority of 7 with respect to 38950, 37900 has an adjacent channel priority of 6 with respect to 38400), (38098 has a priority of 6, 38098 has an adjacent channel priority of 7 with respect to 37900, 38098 has an adjacent channel priority of 5 with respect to 40936, 38098 has an adjacent channel priority of 3 with respect to 38950, 38098 has an adjacent channel priority of 7 with respect to 38400), (40936 has a priority of 6, 40936 has an adjacent channel priority of 6 with respect to 37900, 40936 has an adjacent channel priority of 6 with respect to 38098, 40936 has an adjacent channel priority of 6 with respect to 38950, 40936 has an adjacent channel priority of 6 with respect to 38400), (38950 has a priority of 5, 38950 has an adjacent channel priority of 4 with respect to 37900, 38950 has an adjacent channel priority of 5, 38936 has an adjacent channel priority of 6, and 38400 has an adjacent channel priority of 3896), (3896, and 38400 has an adjacent channel priority of 3 with respect to 38400, and 3896), (38950 has an adjacent channel priority of 3, and 3896).
And determining a priority matrix according to the macro station information. In this example, the candidate frequency point numbers are arranged in descending order, the determined candidate frequency point number sequence is (37900, 38098, 38400, 38950 and 40936), the priority of the ith candidate frequency point number is determined as the ith row and ith column element in the priority matrix, and the adjacent frequency priority of the ith candidate frequency point number relative to the jth candidate frequency point number is determined as the jth row and jth column element in the priority matrix. The determined priority matrix is:
for example, the 5 th row and 4 th column elements in the matrix represent the adjacent frequency priority of the 5 th candidate frequency point number relative to the 4 th frequency point number in the candidate frequency point number sequence, that is, 40936 relative to 38950.
The priority matrix is symbolized, and the first row of Sign functions is identified as Sign (x-4), the second row of Sign functions is identified as Sign (x-6), the third row of Sign functions is identified as Sign (x-7), the fourth row of Sign functions is identified as Sign (x-5), and the fifth row of Sign functions is identified as Sign (x-6). For each row, the elements are brought into the sign function corresponding to the row, and the following sign matrix can be obtained:
the symbol matrix is projected on the X-axis to obtain a first projection vector of (4, 0, -4,1, 0). The ith value in the first projection vector represents the possibility that the terminal equipment is switched to other candidate frequency points when the terminal equipment is positioned on the ith candidate frequency point in the candidate frequency point sequence. The larger the value is, the more likely it is that the frequency is switched to another candidate frequency point; the smaller the value (the larger the absolute value), the less likely it is that the frequency is to be switched to another candidate frequency bin.
The symbol matrix is Y-projected to obtain a second projection vector of (-1, 0,3, -1, 0). The ith value in the second projection vector represents the possibility that the terminal equipment is switched into the ith candidate frequency point in the candidate frequency point sequence from other candidate frequency points. The larger the value is, the more likely the candidate frequency point is to be switched into; the smaller the value, the less likely it is that the candidate frequency point is cut into.
From the first projection vector and the second projection vector, a result vector can be obtained as:
0.2*(4，0，|-4|，1，0)+0.8*(|-1|，0，3，|-1|，0)＝(1.6,0,3.2,1,0)
and if the third element in the result vector is the maximum value, determining the third candidate frequency point number in the candidate frequency point number sequence as the optimal frequency point number 38400, and determining the candidate frequency point corresponding to 38400 as the optimal frequency point. The maximum value in the result vector represents the maximum value of a weighted sum of the absolute value in the first projection vector and the absolute value in the second projection vector.
Based on the implementation mode, the finally determined optimal frequency point has the following properties: when the terminal equipment is positioned at the frequency point, the possibility of switching to other frequency points is very low, and when the terminal equipment is positioned at other frequency points, the possibility of switching into the frequency point is very high. After the frequency point is determined as the optimal frequency point of the LTE small station, most terminal equipment can be accessed to the cell of the LTE small station, and further, the communication quality of the terminal equipment is improved.
According to the frequency point determining method provided by the embodiment of the invention, macro station information corresponding to each candidate frequency point is acquired according to an interception link, a priority matrix is determined according to each candidate frequency point, the priority of each candidate frequency point and the adjacent frequency priority of each candidate frequency point, a symbolic function is constructed according to the priority of the candidate frequency point corresponding to each row of the priority matrix, the priority matrix is processed according to the symbolic function to obtain a symbolic matrix, X-axis projection is carried out on the symbolic matrix to obtain a first projection vector, Y-axis projection is carried out on the symbolic matrix to obtain a second projection vector, the candidate frequency point corresponding to the maximum value in the result vectors is determined to be the optimal frequency point according to the first projection vector and the second projection vector, on one hand, the fact that an LTE small station can determine the optimal frequency point in a self-adaptive mode is achieved, manual intervention is not needed in the process, and the subjective experience of personnel is not relied on the spot, the determining efficiency of the optimal frequency point is high, errors are small, on the other hand, plug and play of the LTE small station is achieved, manpower is saved, and the deployment cost of the LTE small station is reduced.
Fig. 3 is a schematic structural diagram of an embodiment of a frequency point determining apparatus according to an embodiment of the present invention. As shown in fig. 3, the frequency point determining apparatus provided in the embodiment of the present invention includes the following modules: an acquisition module 31, a first determination module 32, a processing module 33, a projection module 34, a second determination module 35 and a third determination module 36.
And the acquisition module 31 is configured to acquire macro station information corresponding to each candidate frequency point according to the listening link.
The macro station information comprises the priority of the candidate frequency point corresponding to the macro station information and the adjacent frequency priority of the candidate frequency point corresponding to the macro station information.
A first determining module 32, configured to determine a priority matrix according to each candidate frequency point, the priority of each candidate frequency point, and the priority of the adjacent frequency of each candidate frequency point.
And all rows in the priority matrix sequentially correspond to the candidate frequency points in the candidate frequency point sequence arranged according to the preset sequence, and all columns sequentially correspond to the candidate frequency points in the candidate frequency point sequence. The ith row and ith column elements in the priority matrix represent the priority of the ith candidate frequency point in the candidate frequency point sequence, and the ith row and jth column elements represent the adjacent frequency priority of the ith candidate frequency point relative to the jth candidate frequency point. And i and j are integers which are larger than 0 and smaller than or equal to the total number of the candidate frequency points, and i and j are not equal.
Optionally, the first determining module 32 is specifically configured to:
sequencing a plurality of candidate frequency points according to the sequence from small to large or from large to small to form a candidate frequency point sequence; and determining the priority of the ith candidate frequency point in the candidate frequency point sequence as the ith row and ith column element in the priority matrix, and determining the adjacent frequency priority of the ith candidate frequency point relative to the jth candidate frequency point as the ith row and jth column element in the priority matrix.
And the processing module 33 is configured to, for each row of the priority matrix, construct a symbol function according to the priority of the candidate frequency point corresponding to each row, and process the priority matrix according to the symbol function to obtain a symbol matrix.
Wherein the elements in the symbol matrix are-1, 0 or 1.
Optionally, the processing module 33 is specifically configured to:
determining a Sign function of each row to be Sign (x-N) according to the priority of the candidate frequency point corresponding to each row, wherein x represents an element in the priority matrix, N is the priority of the candidate frequency point corresponding to each row, when x is larger than N, sign (x-N) is 1, when x is equal to N, sign (x-N) is 0, and when x is smaller than N, sign (x-N) is-1;
for each row, the elements in the priority matrix are substituted into Sign (x-N), and the obtained result is determined as the elements in the corresponding positions in the symbol matrix.
The projection module 34 is configured to perform X-axis projection on the symbol matrix to obtain a first projection vector, and perform Y-axis projection on the symbol matrix to obtain a second projection vector.
Optionally, the projection module 34 is specifically configured to: determining a first accumulated sum of all elements of each row of the symbol matrix, and determining a vector formed by the first accumulated sums of all the rows as a first projection vector; a second cumulative sum of all elements of each column of the symbol matrix is determined, and a vector composed of the second cumulative sums of all columns is determined as a second projection vector.
The second determining module 35 is configured to determine a result vector according to the first projection vector and the second projection vector.
Optionally, the second determining module 35 is specifically configured to:
taking an absolute value of an element in the first projection vector, and multiplying the absolute value by a first preset parameter to form a processed first projection vector; taking an absolute value of an element in the second projection vector, and multiplying the absolute value by a second preset parameter to form a processed second projection vector; and adding elements in the processed first projection vector and elements at the corresponding position of the processed second projection vector, and determining a vector formed by adding the sum as a result vector. The second preset parameter is larger than the first preset parameter.
And a third determining module 36, configured to determine the candidate frequency point corresponding to the maximum value in the result vector as the optimal frequency point.
Optionally, the third determining module 36 is specifically configured to:
determining the position of the maximum value in the result vector; and determining the candidate frequency point corresponding to the position of the maximum value in the candidate frequency point sequence as the optimal frequency point.
In another implementation manner, the macro station information further includes RSRP of candidate frequency points corresponding to the macro station information. In this implementation, the third determining module 36 is specifically configured to: if a plurality of candidate frequency points corresponding to the maximum value in the result vector are available, determining each RSRP of the plurality of candidate frequency points corresponding to the maximum value; and determining the candidate frequency point corresponding to the maximum RSRP in the RSRP as the optimal frequency point.
The frequency point determining device provided by the embodiment of the invention can execute the frequency point determining method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the executing method.
Fig. 4 is a schematic structural diagram of a communication device according to an embodiment of the present invention. As shown in fig. 4, the communication device includes a processor 70 and a memory 71. The number of the processors 70 in the communication device may be one or more, and one processor 70 is taken as an example in fig. 4; the processor 70 and the memory 71 in the communication device may be connected by a bus or other means, which is exemplified in fig. 4.
The memory 71 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the frequency point determination method in the embodiment of the present invention (for example, the acquisition module 31, the first determination module 32, the processing module 33, the projection module 34, the second determination module 35, and the third determination module 36 in the frequency point determination device). The processor 70 executes various functional applications and data processing of the communication device by running software programs, instructions and modules stored in the memory 71, that is, implements the frequency point determination method described above.
The memory 71 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 71 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 71 may further include memory located remotely from the processor 70, which may be connected to the communication device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Embodiments of the present invention also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a method for determining a frequency point, the method including:
acquiring macro station information corresponding to each candidate frequency point according to the interception link; the macro station information comprises the priority of a candidate frequency point corresponding to the macro station information and the adjacent frequency priority of the candidate frequency point corresponding to the macro station information;
determining a priority matrix according to each candidate frequency point, the priority of each candidate frequency point and the adjacent frequency priority of each candidate frequency point; all rows in the priority matrix sequentially correspond to candidate frequency points in a candidate frequency point sequence arranged according to a preset sequence, all columns sequentially correspond to the candidate frequency points in the candidate frequency point sequence, the ith row and the ith column element in the priority matrix represent the priority of the ith candidate frequency point in the candidate frequency point sequence, the ith row and the jth column element represent the adjacent frequency priority of the ith candidate frequency point relative to the jth candidate frequency point, i and j are integers which are more than 0 and less than or equal to the total number of the candidate frequency points, and i and j are not equal;
constructing a symbol function according to the priority of the candidate frequency point corresponding to each row aiming at each row of the priority matrix, and processing the priority matrix according to the symbol function to obtain a symbol matrix; wherein, the elements in the symbol matrix are-1, 0 or 1;
carrying out X-axis projection on the symbol matrix to obtain a first projection vector, and carrying out Y-axis projection on the symbol matrix to obtain a second projection vector;
determining a result vector according to the first projection vector and the second projection vector;
and determining the candidate frequency point corresponding to the maximum value in the result vector as the optimal frequency point.
Of course, the storage medium including the computer-executable instructions provided in the embodiments of the present invention is not limited to the above method operations, and may also perform related operations in the frequency point determination method provided in any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly can be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention or portions thereof contributing to the prior art may be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the frequency point determining apparatus, each unit and each module included in the embodiment are only divided according to functional logic, but are not limited to the above division, as long as corresponding functions can be implemented; in addition, the specific names of the functional units are only for the convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A frequency point determination method is applied to a Long Term Evolution (LTE) small station, and comprises the following steps:
acquiring macro station information corresponding to each candidate frequency point according to the interception link; the macro station information comprises the priority of a candidate frequency point corresponding to the macro station information and the adjacent frequency priority of the candidate frequency point corresponding to the macro station information;
determining a priority matrix according to each candidate frequency point, the priority of each candidate frequency point and the adjacent frequency priority of each candidate frequency point; all rows in the priority matrix sequentially correspond to candidate frequency points in a candidate frequency point sequence arranged according to a preset sequence, all columns sequentially correspond to the candidate frequency points in the candidate frequency point sequence, the ith row and the ith column element in the priority matrix represent the priority of the ith candidate frequency point in the candidate frequency point sequence, the ith row and the jth column element represent the adjacent frequency priority of the ith candidate frequency point relative to the jth candidate frequency point, i and j are integers which are more than 0 and less than or equal to the total number of the candidate frequency points, and i and j are not equal;
constructing a symbol function according to the priority of the candidate frequency point corresponding to each row aiming at each row of the priority matrix, and processing the priority matrix according to the symbol function to obtain a symbol matrix; wherein, the elements in the symbol matrix are-1, 0 or 1;
carrying out X-axis projection on the symbol matrix to obtain a first projection vector, and carrying out Y-axis projection on the symbol matrix to obtain a second projection vector;
determining a result vector according to the first projection vector and the second projection vector;
and determining the candidate frequency point corresponding to the maximum value in the result vector as the optimal frequency point.
2. The method according to claim 1, wherein the constructing a symbol function according to the priority of the candidate frequency points corresponding to each row for each row of the priority matrix, and processing the priority matrix according to the symbol function to obtain a symbol matrix includes:
determining a Sign function of each row as Sign (x-N) according to the priority of the candidate frequency point corresponding to each row, wherein x represents an element in the priority matrix, N is the priority of the candidate frequency point corresponding to each row, when x is larger than N, sign (x-N) is 1, when x is equal to N, sign (x-N) is 0, and when x is smaller than N, sign (x-N) is-1;
and for each row, substituting elements in the priority matrix into Sign (x-N), and determining the obtained result as elements at corresponding positions in the symbol matrix.
3. The method of claim 1 or 2, wherein X-projecting the symbol matrix to obtain a first projection vector and Y-projecting the symbol matrix to obtain a second projection vector comprises:
determining a first accumulated sum of all elements of each row of the symbol matrix, and determining a vector formed by the first accumulated sums of all rows as the first projection vector;
determining a second accumulated sum of all elements of each column of the symbol matrix, and determining a vector composed of the second accumulated sums of all columns as the second projection vector.
4. The method of claim 1 or 2, wherein determining a result vector based on the first projection vector and the second projection vector comprises:
taking absolute values of elements in the first projection vector, and multiplying the absolute values by a first preset parameter to form a processed first projection vector;
taking an absolute value of an element in the second projection vector, and multiplying the absolute value by a second preset parameter to form a processed second projection vector; the second preset parameter is greater than the first preset parameter;
and adding elements in the processed first projection vector and elements at the corresponding position of the processed second projection vector, and determining a vector formed by adding the sum as the result vector.
5. The method according to claim 1 or 2, wherein the determining a priority matrix according to each of the candidate frequency points, the priority of each of the candidate frequency points, and the priority of the adjacent frequency of each of the candidate frequency points comprises:
sequencing the candidate frequency points in a descending order or descending order to form a candidate frequency point sequence;
and determining the priority of the ith candidate frequency point in the candidate frequency point sequence as the ith row and ith column element in the priority matrix, and determining the adjacent frequency priority of the ith candidate frequency point relative to the jth candidate frequency point as the jth row and jth column element in the priority matrix.
6. The method according to claim 5, wherein the determining the candidate frequency point corresponding to the maximum value in the result vector as the optimal frequency point comprises:
determining the position of the maximum value in the result vector;
and determining the candidate frequency point corresponding to the position of the maximum value in the candidate frequency point sequence as the optimal frequency point.
7. The method according to claim 1 or 2, characterized in that the macro station information further includes Reference Signal Received Power (RSRP) of candidate frequency points corresponding to the macro station information;
the determining the candidate frequency point corresponding to the maximum value in the result vector as the optimal frequency point includes:
if a plurality of candidate frequency points corresponding to the maximum value in the result vector are available, determining each RSRP of the plurality of candidate frequency points corresponding to the maximum value;
and determining the candidate frequency point corresponding to the maximum RSRP in the plurality of RSRPs as the optimal frequency point.
8. A frequency point determination apparatus, comprising:
the acquisition module is used for acquiring macro station information corresponding to each candidate frequency point according to the interception link; the macro station information comprises the priority of the candidate frequency point corresponding to the macro station information and the adjacent frequency priority of the candidate frequency point corresponding to the macro station information;
the first determining module is used for determining a priority matrix according to each candidate frequency point, the priority of each candidate frequency point and the adjacent frequency priority of each candidate frequency point; all rows in the priority matrix sequentially correspond to candidate frequency points in a candidate frequency point sequence arranged according to a preset sequence, all columns sequentially correspond to the candidate frequency points in the candidate frequency point sequence, the ith row and the ith column element in the priority matrix represent the priority of the ith candidate frequency point in the candidate frequency point sequence, the ith row and the jth column element represent the adjacent frequency priority of the ith candidate frequency point relative to the jth candidate frequency point, i and j are integers which are more than 0 and less than or equal to the total number of the candidate frequency points, and i and j are not equal;
the processing module is used for constructing a symbolic function according to the priority of the candidate frequency point corresponding to each row aiming at each row of the priority matrix and processing the priority matrix according to the symbolic function to obtain a symbolic matrix; wherein, the elements in the symbol matrix are-1, 0 or 1;
the projection module is used for carrying out X-axis projection on the symbol matrix to obtain a first projection vector and carrying out Y-axis projection on the symbol matrix to obtain a second projection vector;
a second determining module, configured to determine a result vector according to the first projection vector and the second projection vector;
and the third determining module is used for determining the candidate frequency point corresponding to the maximum value in the result vector as the optimal frequency point.
9. A communication device, characterized in that the communication device comprises:
one or more processors;
a memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the frequency point determination method according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the frequency point determination method as claimed in any one of claims 1 to 7.
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