CN104144430A - Method and device for optimizing physical cell identification - Google Patents

Abstract

The present invention provides a method and device for optimizing a physical cell identity. The method includes: when it is detected that the modulo 3 interference of the physical cell identity exists in the first cell under the first base station, determine at least the cell covered by the first base station The optimized area of the first area; calculating the modulo 3 interference result of the second cell to the first cell under the condition that each cell in the optimized area is set with different physical cell identifiers, wherein the second cell is the The neighbor cell of the first cell, and is the same as the value after modulo 3 of the physical cell identity of the first cell; according to the modulo 3 interference result, determine the target configuration result of the physical cell identity of each cell in the optimization area; Configuring the physical cell identifiers of the cells in the optimization area according to the target configuration result. The invention can adjust the physical cell identifiers of multiple cells in the optimized area according to the overall interference result in the optimized area.

Description

Method and device for optimizing physical cell identification

technical field

The present invention relates to the field of wireless technology, in particular to a method and device for optimizing a physical cell identity.

Background technique

Time-sharing long-term evolution TD-LTE system uses mechanisms such as interference randomization, interference cancellation, and interference coordination to effectively control co-channel interference. In the LTE system, many physical channels or signals, such as primary synchronization sequence PSS, secondary synchronization sequence SSS, physical control format indicator channel PCFICH, etc., their time-frequency domain positions are related to the physical cell identity PCI, so the rationality of PCI planning is very important. If the PCI planning is not good, it will cause relatively large interference from adjacent cells, thereby reducing the throughput of the cell and increasing the transmission delay. For example, in order to avoid the same primary synchronization sequence PSS between adjacent cells, the PCI allocation of PCI modulo 3 needs to be considered when planning PCI, and the interference caused by the same PSS is one of the main sources of internal interference in the current LTE system.

The TD-SCDMA system adopts N-frequency point networking, and the common channel can realize the different-frequency multiplexing of N frequency points to reduce interference. However, in the TD-LTE system, the interference is more serious under the completely same-frequency networking of the control channel. For the reference signal RS, the TD-LTE system can realize the staggered position of the RS when the PCI modulo 3 is not isochronous when two antenna ports are configured. When the network is unloaded, the RS signal is equivalent to a different-frequency network with N being 3; but when the network is fully loaded, the RS signal is interfered by the cell coverage enhancement technology RE in the data domain of other cells, which is actually equivalent to a same-frequency network with N being 1. networking.

An ideal PCI planning diagram is shown in Figure 1.

The cell coverage in actual network planning cannot be as regular as the cell arrangement in Figure 1, but it must be taken into account that PCIs with the same modulus 3 and modulus 6 cannot be allocated in direct confrontation and co-site cells.

Through the test, some network problems that can be located as interference within the system can be found. After eliminating the over-coverage problem of the surrounding cells, check the PCIs of the surrounding cells at this time to confirm whether there is interference caused by the same module 3 between the PCIs of neighboring cells. The key point should be to pay attention to those adjacent cells with longer adjacent borders, and try to avoid equal values of PCI modulo 3 among them.

At the same time, the reverse connection of the antenna feeder system will cause the coverage area of the cell to be different from the plan, and also cause similar problems. By analyzing the PCI dot diagram of the service cell during or after the drive test, it is easy to find out whether the PCI value in the coverage area of each cell of a certain base station is the same as the planned data. If it is reversed, it is likely to be due to the reverse connection of the antenna feeder system. Caused.

Generally, the above-mentioned PCI interference problem can be avoided by simply adjusting the PCI of the problem cell. However, since the secondary synchronization sequence SSS of co-sited cells must be the same, the above-mentioned adjustment can only be realized by exchanging the PCIs of cells in different directions on the same site, but this can easily cause the adjusted PCI to be the same as the module 3 of other neighboring cells, as shown in the figure 2, if the same-mode interference exists in the other direction in the cell with a PCI of 5 in Fig. Also encounter the problem of new same-mode interference.

At present, PCI planning and optimization are mainly done manually based on the experience and judgment of network optimization personnel, which is not only inefficient but also difficult to guarantee the effect for irregular site layouts and complex scenarios.

Contents of the invention

The object of the present invention is to provide a method and device for optimizing physical cell IDs, which can adjust the physical cell IDs of multiple cells in the optimized area according to the overall interference result in the optimized area.

In order to achieve the above purpose, an embodiment of the present invention provides a physical cell identity optimization method, the method comprising:

When it is detected that there is modulo 3 interference of the physical cell identity in the first cell under the first base station, determining an optimized area at least including the first area covered by the first base station;

Calculating the modulo 3 interference result of the second cell to the first cell under different physical cell identifier settings for each cell in the optimization area, wherein the second cell is a neighboring cell of the first cell, And it is the same as the value modulo 3 of the physical cell identifier of the first cell;

According to the modulo 3 interference result, determine the target configuration result of the physical cell identity of each cell in the optimization area;

Configuring the physical cell identities of the cells in the optimization area according to the target configuration result.

In the above physical cell identification optimization method, the modulo 3 interference result is specifically the sum of the interference probabilities of the second cell to the first cell;

The calculation of the modulo 3 interference results of the second cell to the first cell in the case of different physical cell identifier settings for each cell in the optimization area specifically includes:

Sampling the reference signal received power values of each cell in the optimization area to obtain a plurality of first sampling points with the first cell as a serving cell;

According to the information of the plurality of first sampling points, calculate the interference probability value of the second cell to the first cell under the condition that each cell in the optimization area is set with different physical cell identifiers;

summing the interference probability values of the second cell to the first cell to obtain a modulo 3 interference result of the second cell to the first cell.

In the above physical cell identification optimization method, when the first cell is a serving cell, the reference signal received power value of the first cell is the largest at the first sampling point.

In the above-mentioned physical cell identification optimization method, wherein the interference probability value is specifically:

The ratio of the number of the second sampling point to the number of the plurality of first sampling points, the second sampling point being that the level difference between the second cell and the first cell is less than a set threshold the first sampling point of .

In the above method for optimizing the physical cell identity, the target configuration result is specifically:

The configuration of the physical cell identifiers of the cells in the optimization area corresponding to the minimum sum of the interference probabilities of the second cell to the first cell.

In the above physical cell identity optimization method, the optimization area further includes a second area covered by a neighboring base station of the first base station.

In the above-mentioned method for optimizing the physical cell identity, wherein the calculation of the modulo 3 interference result of the second cell to the first cell in the case of different physical cell identity settings for the cells in the optimization area is specifically:

Obtaining the modulo 3 interference result of the second cell on the first cell when the cells in the optimization area are set with different physical cell identifiers by using a traversal algorithm or a genetic algorithm.

In order to achieve the above purpose, an embodiment of the present invention also provides a physical cell identity optimization device, the device includes:

An optimized area determination module, configured to determine an optimized area including at least the first area covered by the first base station when it is detected that there is modulo 3 interference of the physical cell identity in the first cell under the first base station;

A calculation module, configured to calculate the modulo 3 interference result of the second cell on the first cell under different physical cell identifier settings for each cell in the optimization area, where the second cell is the first cell A neighboring cell of the cell, which is the same as the value modulo 3 of the physical cell identifier of the first cell;

A configuration result determination module, configured to determine a target configuration result of the physical cell identities of each cell in the optimization area according to the modulo 3 interference result;

A configuration module, configured to configure the physical cell identifiers of the cells in the optimization area according to the target configuration result.

In the above apparatus for optimizing physical cell identity, the modulo 3 interference result is specifically the sum of the interference probabilities of the second cell on the first cell;

The calculation module specifically includes:

A sampling module, configured to sample the reference signal received power values of each cell in the optimization area, and obtain a plurality of first sampling points with the first cell as a serving cell;

The first calculation submodule is configured to calculate, according to the information of the plurality of first sampling points, the difference between the second cell and the first cell under the condition that each cell in the optimization area is set with different physical cell identifiers The interference probability value;

The second calculation submodule is configured to sum the interference probability values of the second cell to the first cell to obtain a modulo 3 interference result of the second cell to the first cell.

In the above apparatus for optimizing physical cell identity, when the first cell is a serving cell, the reference signal received power value of the first cell is the largest at the first sampling point.

In the above-mentioned device for optimizing physical cell identity, the interference probability value is specifically:

The ratio of the number of the second sampling point to the number of the plurality of first sampling points, the second sampling point being that the level difference between the second cell and the first cell is less than a set threshold the first sampling point of .

In the above-mentioned device for optimizing physical cell identity, the target configuration result is specifically:

The configuration of the physical cell identifiers of the cells in the optimization area corresponding to the minimum sum of the interference probabilities of the second cell to the first cell.

In the above apparatus for optimizing physical cell identity, the optimization area further includes a second area covered by a neighboring base station of the first base station.

In the above-mentioned device for optimizing physical cell identity, the calculation module is specifically:

Obtaining the modulo 3 interference result of the second cell on the first cell when the cells in the optimization area are set with different physical cell identifiers by using a traversal algorithm or a genetic algorithm.

In the embodiment of the present invention, a method similar to the determination of the interference value commonly used in GSM and TD network frequency optimization and structure optimization is adopted. For the two cases of PCI common mode and non-common mode of the physical cell identification of the cell, combined with the positional relationship between cells and coverage overlap degree, calculate the overall interference result in the optimized area, and adjust the physical cell identifiers of multiple cells in the optimized area according to the interference result, achieving the goal of the lowest overall interference value in the optimized area after adjustment, and ensuring the lowest interference level in the system.

Description of drawings

Fig. 1 is the ideal planning diagram of the physical cell identification;

FIG. 2 is a schematic diagram of an optimization method of a physical cell identifier in the prior art;

FIG. 3 is a schematic flowchart of a method for optimizing a physical cell identity provided by an embodiment of the present invention;

Fig. 4 is a schematic diagram of the division of the optimization area and the protection area provided by the embodiment of the present invention;

Fig. 5 is a schematic structural diagram of an apparatus for optimizing a physical cell identity provided by an embodiment of the present invention.

Detailed ways

In order to make the technical problems, technical solutions and advantages to be solved by the embodiments of the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

An embodiment of the present invention provides a method for optimizing a physical cell identifier. The method is shown in FIG. 3 and includes:

Step 31, when it is detected that the first cell under the first base station has modulo 3 interference of the physical cell identity, determine an optimized area including at least the first area covered by the first base station;

Step 32, calculating the modulo 3 interference result of the second cell on the first cell under the condition that each cell in the optimization area is set with different physical cell identifiers, wherein the second cell is the result of the first cell a neighboring cell, which is the same as the value of the physical cell identifier modulo 3 of the first cell;

Step 33, according to the modulo 3 interference result, determine the target configuration result of the physical cell identity of each cell in the optimization area;

Step 34, configure the physical cell identifiers of the cells in the optimization area according to the target configuration result.

In the embodiment of the present invention, when it is detected that there is modulo 3 interference of the physical cell ID in the first cell under the first base station, it is calculated that each cell in the optimized area has different physical cell ID settings, and the second cell has no effect on all the physical cell IDs. The modulo 3 interference result of the first cell is described, and the physical cell identifiers of multiple cells in the optimized area are adjusted according to the overall interference result in the optimized area, thus achieving the purpose of the present invention.

The method for optimizing the physical cell identity provided by the embodiment of the present invention will be described step by step in detail below.

First execute step 31. In general, we divide a base station into three cells. When it is detected that there is modulo 3 interference of the physical cell ID in the first cell under the first base station, the modulo 3 interference refers to the physical The interference caused by the same modulus 3 of the cell identifiers PCI is determined to determine an optimized area at least including the first area covered by the first base station.

In the embodiment of the present invention, after the optimization area is determined, only the PCI of the cells in the optimization area is optimally adjusted, and relatively, the PCI of the cells in the surrounding area of the optimized cell is not adjusted. In actual operation, after the optimization area is determined, the cells on the 2nd to 3rd floors around the optimization area can be divided into protection areas. As shown in Figure 2, when the PCI optimization of the cells in the optimization area is adjusted, PCI does not change.

After the optimized area is determined, enter step 32 to calculate the modulo 3 interference result of the second cell on the first cell under the condition that each cell in the optimized area is set with different physical cell identifiers, wherein the second The cell is a neighboring cell of the first cell, and is the same as a value modulo 3 of the physical cell identifier of the first cell.

Wherein, preferably, the modulo 3 interference result is specifically the sum of the interference probabilities of the second cell to the first cell;

Step 32 specifically includes:

Step 321, sampling the reference signal received power values of each cell in the optimization area to obtain a plurality of first sampling points with the first cell as the serving cell;

Step 322, according to the information of the plurality of first sampling points, calculate the interference probability value of the second cell to the first cell when the cells in the optimization area are set with different physical cell identifiers;

Step 323: Summing up the interference probability values of the second cell to the first cell for each cell in the optimization area with different physical cell identifier settings, to obtain the interference probability value of the second cell to the first cell Modulo 3 interference result of a cell

Step 321 defines the cell with the strongest RSRP in the obtained sampling points (acquired at the same time) as the serving cell through traversal frequency scanning (or handover statistics) and measurement report MR data collection of the optimized area, The corresponding sampling point is the first sampling point where the cell is the serving cell, that is, when the first cell is the serving cell, the reference signal received power value of the first cell is the largest at the first sampling point.

For example, as shown in Table 1, there are two first sampling points corresponding to the A1 cell as the serving cell:

Table 1 is the two first sampling points of A1 cell

Step 32 also includes:

Step 322, according to the information of the plurality of first sampling points, calculate the interference probability value of the second cell to the first cell when the cells in the optimization area are set with different physical cell identifiers;

There are 6 ^m types of different physical cell identification settings for each cell in the optimization area, where m is the number of base stations in the optimization area, and examples are as follows.

<Example 1>

As shown in FIG. 5 , the optimized area is the area covered by base station A, and base station A includes three cells, namely: cell A1 , cell A2 and cell A3 .

Then there are 6 kinds of PCI configurations of the cells in the optimized area, m=1, as shown in Table 2.

modulo 3 value is 0 Modulo 3 is 1 Modulo 3 is 2 Interference value original configuration A1 A2 A3 S Optimization scheme 1 A2 A1 A3 S1 Optimization scheme 2 A3 A1 A2 S2 Optimization scheme 3 A1 A3 A2 S3 Optimization scheme 4 A2 A3 A1 S4 Optimization scheme 5 A3 A2 A1 S5

Table 2 PCI configuration of each cell in the optimized area

In the method provided by the embodiment of the present invention, it is necessary to calculate the interference probability value of the second cell to the first cell under different PCI configurations in the optimization area. At present, the level difference interval between the serving cell of the TD-LTE network and the adjacent interval has not yet been concluded. The ratio in is defined as the interference probability value, and the second sampling point is the first sampling point where the level difference between the second cell and the first cell is less than the set threshold, wherein the second cell is the The neighbor cell of the first cell, and is the same as the value modulo 3 of the physical cell identifier of the first cell. Examples are as follows.

<Example 2>

In Table 1, the two first sampling points corresponding to the A1 cell as the serving cell are given. At this time, A1 is the first cell, and only the B1 cell is the second cell (the B1 cell is the neighbor cell of the A1 cell, and it is the same as the A1 cell The value of the physical cell identity modulo 3 of the cell is the same), then the interference probability value P _{(A1, B1)} of the second cell B1 to the first cell A1 is:

P _{(A1, B1)} = number of second sampling points/number of first sampling points, the second sampling point is that the level difference between the second cell B1 and the first cell A1 is less than the set threshold The first sampling point of .

Assuming that the threshold value W is set to 10dB, A1 cell as the serving cell has only two first sampling points shown in Table 1: sampling point 1 and sampling point 2, where only the second cell B1 in sampling point 1 is connected to the first sampling point The level difference of cell A1 cell is less than the set threshold 10dB, then when the PCI of each cell in the optimized area remains unchanged, the interference probability value of the second cell B1 to the first cell A1 is specifically:

P _{(A1, B1)} = 1/2 = 0.5.

After calculating the interference probability value of the second cell to the first cell under the condition that each cell in the optimization area is set with different physical cell identities, step 323 is executed, and the interference probability value of the second cell to the first cell is calculated. The interference probability values of the first cell are summed to obtain the final modulo 3 interference result of the second cell on the first cell.

At this point, step 33 is executed to determine the target configuration result of the physical cell identities of the cells in the optimization area according to the modulo 3 interference result.

Correspondingly, the target configuration result described in step 33 is specifically:

The configuration of the physical cell identifiers of the cells in the optimization area corresponding to the minimum sum of the interference probabilities of the second cell to the first cell.

If the interference value of the original configuration scheme is the smallest, there is no better optimization scheme.

In the actual operation process, the interference probability value of the third cell to the first cell may also be calculated. The third cell is all other cells in the optimization area except the first cell. According to the interference probability value of the third cell to the first cell The interference probability value forms an interference matrix as shown in Table 3. Further, the interference probabilities of all cells with the same PCI modulus 3 (conflict) in the above interference matrix are summed and defined as the PCI modulo 3 interference value. That is, the total modulo 3 interference value of cell i S(i)=∑P(A1,n), where n is all neighboring cells that are the same as cell i modulo 3.

CELL A1 CELL A2 CELL A3 CELB1 ...CELL j Community A1 / P(A1,A2) P(A1,A3) P(A1,B1) ...P(A1,j) Community A2 P(A2,A1) / P(A2,A3) P(A2,B1) ...P(A2,j) Community A3 P(A3,A1) P(A3,A2) / P(A3,B1) ...P(A3,j) Cell B1 P(B1,A1) P(B1,A2) P(B1,A3) / ...P(B1,j) ... ... ... ... ... ………… CELL i P(i,1) P(i,2) P(i,3) P(i,B1) ...P(i,j)

Table 3 Interference Matrix

Among them, P _{(i, j)} represents the proportion of the second sample point where cell j appears in the first sample point where cell i is the service area and the level of cell j and cell i is less than the set threshold, and the value interval is ( 0, 1].

Examples are as follows.

<Example 3>

Assume that the set threshold W is 10dB, and A1 cell has only two first sampling points shown in Table 1 as the serving cell: sampling point 1 and sampling point 2, then:

P(A1,A2)=2/2=1;

P(A1,A3)=2/2=1;

P(A1,B1)=1/2=0.5 (the level difference of one sampling point is greater than W);

P(A1,B2)=0/2=0 (the level difference of the sampling point is greater than W);

P(A1,C2)=0/2=0 (the level difference of the sampling point is greater than W);

Thus, the correlated interference matrix of all cells in the optimized area can be obtained.

The above example data is because only B1 cell is the same as A1 modulo 3, then S(A1)=P(A1,B1)=0.5.

If the PCI values of B1 and B2 are interchanged, then S(A1)=P(A1, B2)=0, and the purpose of PCI optimization in this embodiment of the present invention is achieved.

As mentioned in the above method, the optimization area includes at least the first area covered by the first base station, more often, the optimization area is not limited to this, and also includes the second area covered by the adjacent base stations of the first base station .

When there are multiple base stations in the optimized area, there are 6 ^m types of different physical cell identification settings for each cell in the optimized area, where m is the number of base stations in the optimized area. It can be seen that when the value of m is large, the calculation amount is greatly increased. At this time, the calculation can be performed through traversal calculation or genetic algorithm (setting the appropriate calculation threshold to adjust the calculation pressure).

After the target configuration result of the physical cell identities of the cells in the optimized area is determined according to the modulo 3 interference result, step 34 is performed to configure the physical cell identities of the cells in the optimized area according to the target configuration result.

In the embodiment of the present invention, by comparing all the PCI schemes of the base stations in the optimized area with the modulo 3 interference results generated by the base stations in the protected area, the interference accumulation is carried out through cell correlation, and the PCI scheme with the minimum interference value is obtained, thereby fundamentally avoiding co-sited cells After the PSS is adjusted, it is possible to produce new interferences and realize the overall optimization of PCI.

The embodiment of the present invention also provides a device for optimizing a physical cell identity, as shown in FIG. 5 , including:

An optimized area determination module, configured to determine an optimized area including at least the first area covered by the first base station when it is detected that there is modulo 3 interference of the physical cell identity in the first cell under the first base station;

A calculation module, configured to calculate the modulo 3 interference result of the second cell on the first cell under different physical cell identifier settings for each cell in the optimization area, where the second cell is the first cell A neighboring cell of the cell, which is the same as the value modulo 3 of the physical cell identifier of the first cell;

A configuration result determination module, configured to determine a target configuration result of the physical cell identities of each cell in the optimization area according to the modulo 3 interference result;

A configuration module, configured to configure the physical cell identifiers of the cells in the optimization area according to the target configuration result.

In the above apparatus for optimizing physical cell identity, the modulo 3 interference result is specifically the sum of the interference probabilities of the second cell on the first cell;

The calculation module specifically includes:

A sampling module, configured to sample the reference signal received power values of each cell in the optimization area, and obtain a plurality of first sampling points with the first cell as a serving cell;

The first calculation submodule is configured to calculate, according to the information of the plurality of first sampling points, the difference between the second cell and the first cell under the condition that each cell in the optimization area is set with different physical cell identifiers The interference probability value;

The second calculation submodule is configured to sum the interference probability values of the second cell to the first cell to obtain a modulo 3 interference result of the second cell to the first cell.

In the above apparatus for optimizing physical cell identity, when the first cell is a serving cell, the reference signal received power value of the first cell is the largest at the first sampling point.

In the above-mentioned device for optimizing physical cell identity, the interference probability value is specifically:

The ratio of the number of the second sampling point to the number of the plurality of first sampling points, the second sampling point being that the level difference between the second cell and the first cell is less than a set threshold the first sampling point of .

In the above-mentioned device for optimizing physical cell identity, the target configuration result is specifically:

The configuration of the physical cell identifiers of the cells in the optimization area corresponding to the minimum sum of the interference probabilities of the second cell to the first cell.

In the above apparatus for optimizing physical cell identity, the optimization area further includes a second area covered by a neighboring base station of the first base station.

In the above-mentioned device for optimizing physical cell identity, the calculation module is specifically:

Obtaining the modulo 3 interference result of the second cell on the first cell when the cells in the optimization area are set with different physical cell identifiers by using a traversal algorithm or a genetic algorithm.

The above is only a preferred embodiment of the present invention, it should be pointed out that, for those of ordinary skill in the art, without departing from the principle of the present invention, some improvements and modifications can also be made, and these improvements and modifications can also be made. It should be regarded as the protection scope of the present invention.

Claims (14)

1. A physical cell identification optimization method, characterized in that the method comprises: When it is detected that there is modulo 3 interference of the physical cell identity in the first cell under the first base station, determining an optimized area at least including the first area covered by the first base station; Calculating the modulo 3 interference result of the second cell to the first cell under different physical cell identifier settings for each cell in the optimization area, wherein the second cell is a neighboring cell of the first cell, And it is the same as the value modulo 3 of the physical cell identifier of the first cell; According to the modulo 3 interference result, determine the target configuration result of the physical cell identity of each cell in the optimization area; Configuring the physical cell identities of the cells in the optimization area according to the target configuration result. 2. The physical cell identity optimization method according to claim 1, wherein the modulo 3 interference result is specifically the sum of the interference probabilities of the second cell to the first cell; The calculation of the modulo 3 interference results of the second cell to the first cell in the case of different physical cell identifier settings for each cell in the optimization area specifically includes: Sampling the reference signal received power values of each cell in the optimization area to obtain a plurality of first sampling points with the first cell as a serving cell; According to the information of the plurality of first sampling points, calculate the interference probability value of the second cell to the first cell under the condition that each cell in the optimization area is set with different physical cell identifiers; summing the interference probability values of the second cell to the first cell to obtain a modulo 3 interference result of the second cell to the first cell. 3. The physical cell identity optimization method according to claim 2, wherein when the first cell is a serving cell, the reference signal received power value of the first cell is the largest at the first sampling point. 4. The physical cell identity optimization method according to claim 2, wherein the interference probability value is specifically: The ratio of the number of the second sampling point to the number of the plurality of first sampling points, the second sampling point being that the level difference between the second cell and the first cell is less than a set threshold the first sampling point of . 5. The physical cell identity optimization method according to claim 2, wherein the target configuration result is specifically: The configuration of the physical cell identifiers of the cells in the optimization area corresponding to the minimum sum of the interference probabilities of the second cell to the first cell. 6. The physical cell identity optimization method according to any one of claims 1 to 5, wherein the optimization area further includes a second area covered by a neighboring base station of the first base station. 7. The physical cell identification optimization method according to claim 6, characterized in that, in the case of different physical cell identification settings for each sub-district in the optimization area, the second sub-district to the first sub-district Modulo 3 interference results are as follows: Obtaining the modulo 3 interference result of the second cell on the first cell when the cells in the optimization area are set with different physical cell identifiers by using a traversal algorithm or a genetic algorithm. 8. A physical cell identity optimization device, characterized in that the device comprises: An optimized area determination module, configured to determine an optimized area including at least the first area covered by the first base station when it is detected that there is modulo 3 interference of the physical cell identity in the first cell under the first base station; A calculation module, configured to calculate the modulo 3 interference result of the second cell on the first cell under different physical cell identifier settings for each cell in the optimization area, where the second cell is the first cell A neighboring cell of the cell, which is the same as the value modulo 3 of the physical cell identifier of the first cell; A configuration result determination module, configured to determine a target configuration result of the physical cell identities of each cell in the optimization area according to the modulo 3 interference result; A configuration module, configured to configure the physical cell identifiers of the cells in the optimization area according to the target configuration result. 9. The device for optimizing physical cell identity according to claim 8, wherein the modulo 3 interference result is specifically the sum of interference probabilities of the second cell to the first cell; The calculation module specifically includes: A sampling module, configured to sample the reference signal received power values of each cell in the optimization area, and obtain a plurality of first sampling points with the first cell as a serving cell; The first calculation submodule is configured to calculate, according to the information of the plurality of first sampling points, the difference between the second cell and the first cell under the condition that each cell in the optimization area is set with different physical cell identifiers The interference probability value; The second calculation submodule is configured to sum the interference probability values of the second cell to the first cell to obtain a modulo 3 interference result of the second cell to the first cell. 10. The device for optimizing physical cell identity according to claim 9, wherein when the first cell is a serving cell, the reference signal received power value of the first cell is the largest at the first sampling point. 11. The physical cell identity optimization device according to claim 9, wherein the interference probability value is specifically: The ratio of the number of the second sampling point to the number of the plurality of first sampling points, the second sampling point being that the level difference between the second cell and the first cell is less than a set threshold the first sampling point of . 12. The physical cell identity optimization device according to claim 9, wherein the target configuration result is specifically: The configuration of the physical cell identifiers of the cells in the optimization area corresponding to the minimum sum of the interference probabilities of the second cell to the first cell. 13. The apparatus for optimizing a physical cell identity according to any one of claims 8 to 12, wherein the optimization area further includes a second area covered by a neighboring base station of the first base station. 14. The physical cell identity optimization device according to claim 13, wherein the calculation module is specifically: Obtaining the modulo 3 interference result of the second cell on the first cell when the cells in the optimization area are set with different physical cell identifiers by using a traversal algorithm or a genetic algorithm.