CN112055368B - 5G network interference optimization processing method and device - Google Patents
5G network interference optimization processing method and device Download PDFInfo
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Abstract
The embodiment of the invention discloses an interference optimization processing method and device of a 5G network, wherein the method comprises the following steps: acquiring measurement data, and acquiring each neighbor cell in the measurement data according to the measurement data; calculating the interference contribution degree of each adjacent cell according to the measurement data, and calculating the interference contribution degree of the whole network according to the interference contribution degree of each adjacent cell; and carrying out interference optimization on the current 5G network according to the interference contribution degree of the whole network. The interference contribution degree of each neighboring cell is calculated through the measured data, the current 5G network is subjected to interference optimization according to the interference contribution degree, the identification and the interference optimization can be performed on the cross-region coverage caused by unreasonable antenna parameter setting, meanwhile, the interference influence degree of the vertical wave beams can be changed, the cell with larger influence can be automatically obtained for optimization, and the cost of drive test and manual arrival optimization is reduced.
Description
Technical Field
The invention relates to the technical field of communication, in particular to an interference optimization processing method and device for a 5G network.
Background
The introduction of large-scale antenna technology in 5G (5 th-Generation, fifth Generation mobile communication technology) finally causes unreasonable antenna downtilt angle, azimuth angle, system parameter and other settings due to network planning difference, map error, engineering installation error, engineering optimization, system parameter setting problems in the initial stage of network construction, and meanwhile, the 5G relatively increases special vertical plane coverage compared with 4G (4 th-Generation, fourth Generation mobile communication technology), and causes partial signal coverage while covering the vertical plane, thereby causing network problems of overhigh overlapping coverage, signal disorder, interference, unreasonable switching and the like in a network partial area, causing network optimization complexity improvement, and being severely limited by the traditional manual optimization mode.
5G Massive MIMO (Multiple-Input Multiple-Output) performs stereo shaping based on 3D-MIMO, dynamically adjusts signal directions in two dimensions, horizontal and vertical, and by introducing a two-dimensional antenna array, MIMO in the horizontal and vertical directions can be achieved simultaneously, for example: the vertical dimension may support 1-3 stages, each stage supporting more (1-8) horizontal beams. The 5G can fully utilize the freedom degrees of the antennas in the vertical and horizontal dimensions, simultaneously serve more users in the same frequency, have the outstanding advantages of capacity improvement, coverage enhancement and the like, provide more service flows by means of the three-dimensional beam forming capability brought by the large-scale array antennas, and bring brand new experience to the users.
Compared with the existing 4G technology, the downlink and uplink average throughput of the cell adopting the 3D-MIMO technology is 3-5 times and 2 times that of the existing 4G base station, the practical problem that the user experience is seriously restricted by 'three high limit' such as high building, high telephone traffic, high interference, limited uplink and the like existing in 4G is solved theoretically, powerful technical support is provided for the scale development of mobile Internet application, and the flow service requirement of a user dense area in the 5G era is greatly met. The three-dimensional stereo wave velocity shaping can be used for precisely covering a high building or a hot spot, and huge gain is definitely brought to an area with coverage or capacity to be improved, but as the number of 5G large-scale antennas and the beam number and the beam orientation are obviously increased, signals can be continuously transmitted in all directions in space, the signals in the space area are increased relative to 4G, if the vertical beam is applied more, particularly, a high-level user can be interfered by other signals from all directions, and the problem of user perception reduction is caused.
The existing network optimization method mainly aims at adjusting engineering parameters such as antenna azimuth angle, downtilt angle and the like and adjusting power control parameters according to horizontal plane coverage, for example, a two-dimensional optimization method of traditional drive test and MR (Measurement Report ) is used for increasing vertical plane signals for a 5G system, so that the effect of better interference optimization cannot be achieved.
Disclosure of Invention
Because the existing method has the problems, the embodiment of the invention provides a method and a device for optimizing the interference of a 5G network.
In a first aspect, an embodiment of the present invention provides a method for interference optimization processing of a 5G network, including:
acquiring measurement data, and acquiring each neighbor cell in the measurement data according to the measurement data;
calculating the interference contribution degree of each adjacent cell according to the measurement data, and calculating the interference contribution degree of the whole network according to the interference contribution degree of each adjacent cell;
and carrying out interference optimization on the current 5G network according to the interference contribution degree of the whole network.
Optionally, the measurement data is measurement report MR or minimization of drive test MDT measurement data;
the measurement data includes: the signal-to-interference-plus-noise ratio SINR of the channel state information CSI RS of the serving cell, the SSB SINR of the serving cell, the SSB RSRP of the serving cell and the SSB RSRP of the neighbor cells, which are reported by the terminals of each cell.
Optionally, the calculating the interference contribution degree of each neighboring cell according to the measurement data, and calculating the interference contribution degree of the whole network according to the interference contribution degree of each neighboring cell specifically includes:
calculating SINR of each serving cell according to SINR or SSB SINR of CSI RS of each wave beam of each serving cell in the measurement data;
calculating to obtain SSB RSRP difference values of the serving cell and the neighbor cell according to the SSB RSRP of each serving cell and the SSB RSRP of the neighbor cell in the measurement data;
matching in a preset table according to the SINR of each service cell and the SSB RSRP difference value between the service cell and the adjacent cell to obtain the interference contribution degree of each adjacent cell;
and calculating the sum of the interference contribution degrees of all adjacent cells of all cells in the whole network to obtain the interference contribution degree of the whole network.
Optionally, the performing interference optimization on the current 5G network according to the interference contribution degree of the whole network specifically includes:
if the interference contribution degree of the whole network is larger than the whole network threshold, judging the interference contribution degree of each adjacent cell;
if the interference contribution degree of the current neighbor cell is smaller than the neighbor cell threshold, the beam weight of the current cell is adjusted, otherwise, the manual optimization reminding information is generated.
Optionally, the interference optimization processing method of the 5G network further includes:
checking the coverage condition of the 5G network after interference optimization according to the MDT data;
if the coverage condition is judged to be weak coverage caused by excessive optimization, the whole network threshold value and the neighbor cell threshold value are adjusted;
if the coverage condition is judged to be weak coverage caused by inter-cell coverage holes, adding a base station to the current 5G network.
In a second aspect, an embodiment of the present invention further provides an interference optimization processing apparatus for a 5G network, including:
the data acquisition module is used for acquiring measurement data and acquiring each neighbor cell in the measurement data according to the measurement data;
the contribution degree calculation module is used for calculating the interference contribution degree of each adjacent cell according to the measurement data and obtaining the interference contribution degree of the whole network according to the interference contribution degree of each adjacent cell;
and the interference optimization module is used for carrying out interference optimization on the current 5G network according to the interference contribution degree of the whole network.
Optionally, the measurement data is measurement report MR or minimization of drive test MDT measurement data;
the measurement data includes: the signal-to-interference-plus-noise ratio SINR of the channel state information CSI RS of the serving cell, the SINR of the SSB of the serving cell, the SSBRSRP of the serving cell and the SSB RSRP of the neighbor cells, which are reported by the terminals of each cell.
Optionally, the contribution calculating module is specifically configured to:
calculating the SINR of each serving cell according to the CSI SINR or the SSB SINR of each wave beam of each serving cell in the measurement data;
calculating to obtain SSB RSRP difference values of the serving cell and the neighbor cell according to the SSB RSRP of each serving cell and the SSB RSRP of the neighbor cell in the measurement data;
matching in a preset table according to the SINR of each service cell and the SSB RSRP difference value between the service cell and the adjacent cell to obtain the interference contribution degree of each adjacent cell;
and calculating the sum of the interference contribution degrees of all adjacent cells of all cells in the whole network to obtain the interference contribution degree of the whole network.
Optionally, the interference optimization module is specifically configured to:
if the interference contribution degree of the whole network is larger than the whole network threshold, judging the interference contribution degree of each adjacent cell;
if the interference contribution degree of the current neighbor cell is smaller than the neighbor cell threshold, the beam weight of the current cell is adjusted, otherwise, the manual optimization reminding information is generated.
Optionally, the interference optimization processing device of the 5G network further includes:
the coverage condition checking module is used for checking the coverage condition of the 5G network after interference optimization according to the MDT data;
the threshold adjustment module is used for adjusting the whole network threshold and the neighbor cell threshold if the coverage condition is judged to be weak coverage caused by excessive optimization;
and the base station adding module is used for adding a base station to the current 5G network if the coverage condition is judged to be weak coverage caused by inter-cell coverage holes.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, which are called by the processor to perform the method described above.
In a fourth aspect, embodiments of the present invention also propose a non-transitory computer-readable storage medium storing a computer program, which causes the computer to carry out the above-mentioned method.
According to the technical scheme, the embodiment of the invention calculates the interference contribution degree of each adjacent cell by measuring the data, performs interference optimization on the current 5G network according to the interference contribution degree, can identify and perform interference optimization on the cross-region coverage caused by unreasonable antenna industrial parameter setting, can change the interference influence degree of the identified vertical wave beam, automatically obtains the cell with larger influence to perform optimization, and reduces the cost of drive test and manual arrival optimization.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings that are necessary for the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention and that other drawings can be obtained from these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of an interference optimization processing method for a 5G network according to an embodiment of the present invention;
fig. 2 is a flow chart of an interference optimization processing method for a 5G network according to another embodiment of the present invention;
fig. 3 is a schematic structural diagram of an interference optimization processing device for a 5G network according to an embodiment of the present invention;
fig. 4 is a logic block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following describes the embodiments of the present invention further with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and are not intended to limit the scope of the present invention.
Fig. 1 shows a flow chart of an interference optimization processing method of a 5G network according to the present embodiment, including:
s101, acquiring measurement data, and acquiring each neighbor cell in the measurement data according to the measurement data.
Wherein the measurement data is MR (Measurement Report ) or MDT (Minimization Drive Test, minimization of drive test) measurement data;
the measurement data includes: SINR (Signal to Interference plus Noise Ratio ) of CSI RS (Channel State Information Reference Signal, channel state information reference signal) of the serving cell reported by each cell terminal, SINR of SSB of the serving cell, RSRP (Reference Signal Receiving Power, reference signal received power) of SSB (Synchronization Signal Block ) of the serving cell, and SSB RSRP of the neighbor cell.
Specifically, the measurement data includes, in addition to the above data, each neighboring cell corresponding to the current cell, and each neighboring cell in the measurement data can be obtained by reading each neighboring cell in the measurement data.
S102, calculating the interference contribution degree of each adjacent cell according to the measurement data, and calculating the interference contribution degree of the whole network according to the interference contribution degree of each adjacent cell.
The interference contribution degree is the signal interference degree caused by the current neighbor cell.
Specifically, according to the CSI SINR of the service cell, the SINR of the SSB of the service cell, the SSB RSRP of the service cell and the SSB RSRP of the neighbor cells reported by the terminal of each cell, the interference contribution degree of each neighbor cell is calculated, so that the interference contribution degree of the whole network is obtained.
And S103, performing interference optimization on the current 5G network according to the interference contribution degree of the whole network.
Specifically, by utilizing data of mass measurement of the system, the cross-region signal is evaluated in an interference quantitative evaluation mode, and finally, the interference contribution degree of the whole network cell of the 5G network is evaluated, so that a network optimization target is indicated, and the optimization is performed manually or automatically, so that the method is convenient to realize on network management OMC (Operation and Maintenance Center, operation maintenance center) or plug-in software.
According to the method and the device, the interference contribution degree of each neighboring cell is calculated through the measured data, the current 5G network is subjected to interference optimization according to the interference contribution degree, the cross-region coverage caused by unreasonable antenna parameter setting can be identified and subjected to interference optimization, meanwhile, the interference influence degree of vertical beams can be identified in a phase-changing mode, the cell with larger influence can be automatically obtained for optimization, and the cost of drive test and manual arrival optimization is reduced.
Further, on the basis of the above method embodiment, S102 specifically includes:
s1021, calculating the SINR of each service cell according to the CSI SINR of each wave beam of each service cell or the SINR of SSB of the service cell in the measurement data.
S1022, calculating to obtain the SSB RSRP difference value between the serving cell and the neighbor cell according to the SSB RSRP of each serving cell and the SSB RSRP of the neighbor cell in the measurement data.
S1023, matching is carried out in a preset table according to the SINR of each service cell and the SSB RSRP difference value between the service cell and the adjacent cell, and the interference contribution degree of each adjacent cell is obtained.
S1024, calculating the sum of the interference contribution degrees of all adjacent cells of all cells in the whole network to obtain the interference contribution degree of the whole network.
Specifically, as shown in fig. 2, after the same-frequency MR or MDT measurement is started and MR or MDT data is collected, the CSI SINR of the serving cell, the SINR of the SSB of the serving cell, the SSB RSRP of the serving cell, and the SSB RSRP of the neighbor cell reported by each cell terminal are counted. Because there may be multiple SSBs, there may be multiple neighbor indexes per user, as shown in table 1 below:
TABLE 1 MR or MDT data reported by terminals
The SINR of the serving cell, the SSB RSRP difference of the serving cell and the neighbor cell for each user are calculated or combined according to table 1. Wherein: the SINR of the serving cell may be an average value of SINR of SSBs of all reporting beams of the serving cell, or may be an average value of SINR of CSI of all reporting beams of the serving cell, and one of the SINR and the average value may be selected according to efficiency and quality in this embodiment. The SSB has high efficiency and low quality relative CSI; the CSI is low in efficiency and high in quality, and system optimizers can choose according to targets and time schedules.
The SSB RSRP difference between the serving cell and the neighboring cell may be the difference between the strongest beam of the serving cell and the strongest beam of the neighboring cell, or the difference between the average of all the reported SSB beams of the serving cell and the average of all the reported SSB beams of the neighboring cell. According to the embodiment, the average value difference or the maximum value difference is adopted according to the application scene selection, the average value difference is selected by the static scene, and the maximum value difference is selected by the moving or high-speed scene.
The results of the calculation and combination of the measurement data are shown in table 2.
Table 2 results of calculation and combination of measurement data
Each cell scores the neighbor cells reported by MR or MDT, namely, the interference contribution degree (Adjacent Cell Interference Contribution, ACIC) of the neighbor cells to the neighbor cells is calculated, and the interference contribution degree (Interference Contribution, IC) of each neighbor cell is obtained by inquiring and matching in a preset table according to the SINR of each user service cell after combination and the SSB RSRP difference value of the service cell and the neighbor cells. Specifically, according to the CSI-SINR of the serving cell reported by the user in table 2 and the range where the SSB RSRP difference between the serving cell and the neighboring cell is located, each row in table 2 can correspond to one neighboring cell and one interference contribution of the neighboring cell through the preset interference contribution table shown in the lookup table 3.
TABLE 3 interference contribution preset table
The threshold and interference contribution of table 3 are determined according to the application scenario and the empirical value, and may be calibrated to a suitable value according to the sampled data. The interference contribution degree is variable, and the optimal value may be selected according to the characteristics of each region of each item, or an AI (Artificial Intelligence ) algorithm may be introduced to assist in providing the optimal value of each region of each item.
When each service cell marks its own neighboring cell, the sum of the interference contribution degrees of terminals of a certain neighboring cell reported by all MRs is the score of the neighboring cell for the cell, i.e. the interference contribution degree of the neighboring cell to itself is specifically shown in table 4:
TABLE 4 interference contribution of neighbor cells to cell
The ACIC 1 is used for scoring the B cell by the A, namely the interference contribution degree of the B cell to the A cell; ACIC 2 scores a to C cells and is also the interference contribution of C cells to a cells.
When the interference contribution degree (Interference Contribution of Network, ICN) of the whole network is calculated, each service cell is traversed, and the contribution interference degree of the whole network is obtained through summation. The interference contribution degree of each cell is the sum of the interference contribution degrees of the cell to all neighboring cells, and the calculation result is shown in table 5:
TABLE 5 Whole network interference contribution
| All cells | ICN (ICN) for interference contribution of whole network |
| A | ICN 1 |
| B | ICN 2 |
| C | ICN 3 |
| … | … |
According to the method, the device and the system, the measured data are used as the basis for interference judgment, so that the cost of drive test and manual arrival optimization is greatly reduced.
Further, on the basis of the above method embodiment, S103 specifically includes:
and S1031, if the interference contribution degree of the whole network is judged to be larger than the whole network threshold value, judging the interference contribution degree of each adjacent cell.
S1032, if the interference contribution degree of the current neighbor cell is smaller than the neighbor cell threshold, the beam weight of the current cell is adjusted, otherwise, the manual optimization reminding information is generated.
Specifically, as shown in fig. 2, the interference contribution degree of each cell is optimized according to table 5, and when the interference contribution degree of the whole network is greater than the whole network threshold value, it is indicated that the interference of the whole network is serious, and optimization is needed. In the process of performing the whole network optimization, each cell needs to be optimized respectively:
if the interference contribution degree of a certain cell is greater than or equal to the threshold value of the adjacent cell, the cell is proved to be heavy interference, the optimal threshold is required to be given according to the project or AI learning mode, and meanwhile, the antenna parameter setting of the cell is unreasonable, and engineering personnel are required to be arranged to optimize the station.
If the interference contribution degree of a certain cell is smaller than the threshold value of the adjacent cell, the cell is indicated to be medium or light interference, and the beam weight of the cell is adjusted to reduce the interference to the adjacent cell, so that the workload of manually blindly adjusting the antenna is saved.
And (3) re-counting indexes after optimization, so that the comprehensive score reaches the requirement, and the method is suitable for the optimal performance indexes of local features and landforms.
For the problem that the SINR threshold value, the RSRP threshold value or the interference contribution degree are unreasonably set, the threshold or the interference contribution degree can be automatically optimized through artificial intelligence, namely, each time one threshold or interference contribution value is input, interference indexes before and after optimization are compared, if the indexes are improved, the next group of threshold or interference contribution degree is continuously input until a group of optimal threshold lines or interference contribution degree is found to serve as a final threshold or interference contribution degree.
Further, on the basis of the above method embodiment, the interference optimization processing method of the 5G network further includes:
s104, checking the coverage condition of the 5G network after interference optimization according to the MDT data.
And S105, if the coverage condition is judged to be weak coverage caused by excessive optimization, the whole network threshold value and the neighbor cell threshold value are adjusted.
And S106, if the coverage condition is judged to be weak coverage caused by inter-cell coverage holes, adding a base station to the current 5G network.
Specifically, after interference optimization is performed on the current 5G network, the optimized coverage condition can be checked according to MDT data, and if weak coverage caused by excessive optimization is required to be optimized, each threshold and interference contribution value are required to be optimized; if this is due to inter-cell coverage holes, then station addition is required instead of interference optimisation.
The embodiment can realize detection and interference optimization for the cross-zone coverage caused by unreasonable system parameters and antenna arrangement and the cross-zone coverage caused by the surrounding area at the same time of covering the target by the vertical beam in the large-scale antenna technology.
To further illustrate the solution provided by the present embodiment, in particular how to score neighboring cells and how to obtain a comprehensive score for a cell is illustrated. Assuming that there are five cells A, B, C, D, E in the area (the number of actual cells is far more than 5, here for the sake of example to simplify description how to score between the 5 cells, and then how to score the neighboring cells by one cell, the number of UEs is also simplified description how to score the neighboring cells by one cell), and MR data reported by the three UEs are shown in table 6 (here, it is assumed that the measurement report of the serving cell is SSB, if the reported CSI method is the same), and the range of the SINR of the serving cell, the SSB RSRP difference between the neighboring cells and the serving cell, and the corresponding interference contribution are shown in table 7.
Table 6 MR (or MDT) data reported by UE1
TABLE 7 interference contribution preset table
Step 1: the SINR of each user service cell, the SSB RSRP difference between neighbor cells and service cell are calculated or combined for the A cell according to Table 6.
1) The SINR of the multiple SSB beams of the reported serving cell is averaged as the SINR after the serving cell is combined. Here, for simplicity, the averaging is performed in the dB domain, and the dB value should be converted into a linear value in practice, and the dB domain is folded back again after the averaging, and the latter averaging is processed as the final averaging result.
For UE1: SINR after combining= (1+2)/2=1.5 dB.
For UE2: SINR after combining= (3+4)/2=3.5 dB.
For UE3: SINR after combining= (1+2)/2=1.5 dB.
2) The RSRP of the multiple SSB beams of the reported serving cell is averaged as the SSB RSRP after the serving cell is combined.
For UE1: SSB rsrp= (-90-85)/2= -87.5dBm after combining.
For UE2: SSB rsrp= (-100-91)/2= -91dBm after combining.
For UE3: SSB rsrp= (-90-85)/2= -87.5dBm after combining.
3) And calculating a merging result of SSB RSRP of the adjacent cells, and averaging the reported values of the plurality of beams to serve as the final SSB RSRP of the adjacent cells.
For UE1: the neighbor cells SSB rsrp= (-92-87)/2= -89.5dBm after combining.
For UE2: SSB rsrp= (-95-87)/2= -95.5dBm after combining.
For UE3: SSB rsrp= (-92-87)/2= -89.5dBm after combining.
4) And calculating the difference Delta SSB RSRP between the SSB RSRP of the neighbor cell and the SSB RSRP of the serving cell.
For UE1: the neighbor cell to serving cell SSB RSRP difference Delta SSB rsrp= -89.5- (-87.5) = -2dB.
For UE2: the neighbor cell to serving cell SSB RSRP difference Delta SSB RSRP = -95.5- (-91) = -4.5dB.
For UE3: the neighbor cell to serving cell SSB RSRP difference Delta SSB rsrp= -89.5- (-87.5) = -2dB.
It should be noted that, for 2), 3), and 4), the average method is adopted to calculate the SSB RSRP difference Delta SSB RSRP between the neighboring cell and the serving cell, or (the maximum RSRP value of multiple SSB beams reported by the neighboring cell and the maximum RSRP value of multiple SSB beams in the serving cell) may be selected as the SSB RSRP difference Delta RSRP between the neighboring cell and the serving cell.
The merging results are shown in table 8:
table 8 SINR of serving cell, neighbor cell and serving cell SSB RSRP difference
Step 2: cell a scores all reported MR neighbors, i.e. B, D.
First, B is scored, two users report B data, the lookup table 7,1.5 belongs to [0,3] db, -2 belongs to [ -1, -3] db, so that the interference contribution degree is 5, 5+5=10, and therefore the a cell scores 10 for the B cell.
And scoring D, wherein when the table lookup table 7,3.5 belongs to [3,5] dB and the table lookup table 4.5 belongs to [ -3, -5] dB, the interference contribution degree is 5, so that the A cell scores 5 for the D cell.
The table after cell a has completed dividing the neighbor cells is shown in table 9.
TABLE 9 ACIC for neighbor to cell A
| Neighbor cell of cell a | Neighboring cell interference contribution (ACIC) |
| B | 10 |
| C | 0 |
| D | 5 |
| E | 0 |
Step 3: a composite score for a cell is calculated.
According to the result of the step 2, the A cell scores 10 points to the B cell, and the A cell scores 5 points to the D cell.
Further assume that:
the B cell scores 5 for the A cell and 5 for the C cell according to the method of the step 2.
And C is scored as 10 for the B cell, 5 for the A cell and 5 for the D cell.
D scores cell B10.
E scored A5 and B10.
The overall score for each cell is:
comprehensive scoring of a cell: 5+5+5=15 minutes (B cell, C cell and E cell each score 5 for a, D cell does not score a cell, default to 0);
comprehensive scoring of B cells: 10+10+10+10=40 points (A, C, D, E cells each giving B10 points);
comprehensive scoring of C cells: score 5 (only B cells score C);
comprehensive scoring of D cells: 5+5=10 points (a and C give 5 points to each);
e cell: score 0 (no cell scored it, default to 0).
Finally, the comprehensive score of each cell is obtained, and the interference contribution degree (ICN) of the whole network is shown in table 10:
table 10 interference contribution of the whole network (simplified example)
| All cells | Interference contribution ICN of whole network |
| A | 15 |
| B | 40 |
| C | 5 |
| D | 10 |
| E | 0 |
Step 3: interference identification and optimization.
Table 10 in step 2 is merely an example for explaining how A, B, C, D, E obtains the full-network interference contribution ICN, and there are many, hundreds or thousands of cells in an actual area, and the composite score is far greater than that of table 10. Assume that the whole network interference ICN of all cells of a region is obtained according to step 2 as shown in table 11. In addition, it is assumed that ICN is greater than 2000 minutes and is considered as severe interference; ICN belongs to [1000, 2000] as moderate interference; ICN belongs to 1000 or less and is slightly disturbed, and the disturbance is negligible.
Table 11 interference contribution to the whole network
| All cells | Interference contribution ICN of whole network |
| Cell 1 | 1200 |
| Cell 2 | 3000 |
| Cell 3 | 100 |
| Cell 4 | 200 |
| Cell 5 | 1500 |
| … | … |
TOP cells were screened out according to table 11: cell 2, cell 5, cell 1, determine the interference degree to surrounding neighbor cells for TOP cells, and optimize:
the integrated score (ICN) of the Cell 2 Cell is 3000, more than 2000, and thus belongs to heavy interference, and it is necessary to arrange engineering personnel to get to a site to optimize antenna engineering parameters or turn off unnecessary beams.
The integrated score (ICN) of Cell 5 and Cell 1 cells, which is a medium interference [1000, 2000], needs to adjust its own antenna beam weight to reduce the interference to neighboring cells.
The embodiment can identify and optimize interference for the cross-region coverage caused by unreasonable antenna industrial parameter setting; through massive MR measurement data, the interference influence of the variable phase identification vertical wave beam is automatically obtained, and a cell with larger influence is automatically obtained; the MR measurement data is used as the basis of interference judgment, so that the cost of drive test and manual arrival optimization is reduced; and meanwhile, MDT is supported, and weak coverage or coverage holes can be identified by combining with the MDT, so that corresponding optimization measures are adopted.
Fig. 3 shows a schematic structural diagram of an interference optimization processing device of a 5G network according to this embodiment, where the device includes: a data acquisition module 301, a contribution calculation module 302 and an interference optimization module 303, wherein:
the data acquisition module 301 is configured to acquire measurement data, and acquire each neighboring cell in the measurement data according to the measurement data;
the contribution calculation module 302 is configured to calculate an interference contribution of each neighboring cell according to the measurement data, and calculate an interference contribution of the whole network according to the interference contribution of each neighboring cell;
the interference optimization module 303 is configured to perform interference optimization on the current 5G network according to the interference contribution degree of the whole network.
Specifically, the data acquisition module 301 acquires measurement data, and acquires each neighboring cell in the measurement data according to the measurement data; the contribution calculation module 302 calculates the interference contribution of each neighboring cell according to the measurement data, and calculates the interference contribution of the whole network according to the interference contribution of each neighboring cell; the interference optimization module 303 performs interference optimization on the current 5G network according to the interference contribution degree of the whole network.
According to the method and the device, the interference contribution degree of each neighboring cell is calculated through the measured data, the current 5G network is subjected to interference optimization according to the interference contribution degree, the cross-region coverage caused by unreasonable antenna parameter setting can be identified and subjected to interference optimization, meanwhile, the interference influence degree of vertical beams can be identified in a phase-changing mode, the cell with larger influence can be automatically obtained for optimization, and the cost of drive test and manual arrival optimization is reduced.
Further, on the basis of the above device embodiment, the measurement data is measurement report MR or minimization of drive test MDT measurement data;
the measurement data includes: the signal-to-interference-plus-noise ratio SINR of the channel state information reference signal CSI RS of the serving cell, the SSB SINR of the serving cell, the SSB RSRP of the serving cell and the SSB RSRP of the neighbor cells, which are reported by the terminals of each cell.
Further, on the basis of the above apparatus embodiment, the contribution calculating module 302 is specifically configured to:
calculating SINR of each serving cell according to SINR or SSB SINR of CSI RS of each wave beam of each serving cell in the measurement data;
calculating to obtain SSB RSRP difference values of the serving cell and the neighbor cell according to the SSB RSRP of each serving cell and the SSB RSRP of the neighbor cell in the measurement data;
matching in a preset table according to the SINR of each service cell and the SSB RSRP difference value between the service cell and the adjacent cell to obtain the interference contribution degree of each adjacent cell;
and calculating the sum of the interference contribution degrees of all adjacent cells of all cells in the whole network to obtain the interference contribution degree of the whole network.
Further, on the basis of the above device embodiment, the interference optimization module 303 is specifically configured to:
if the interference contribution degree of the whole network is larger than the whole network threshold, judging the interference contribution degree of each adjacent cell;
if the interference contribution degree of the current neighbor cell is smaller than the neighbor cell threshold, the beam weight of the current cell is adjusted, otherwise, the manual optimization reminding information is generated.
Further, on the basis of the above device embodiment, the interference optimization processing device of the 5G network further includes:
the coverage condition checking module is used for checking the coverage condition of the 5G network after interference optimization according to the MDT data;
the threshold adjustment module is used for adjusting the whole network threshold and the neighbor cell threshold if the coverage condition is judged to be weak coverage caused by excessive optimization;
and the base station adding module is used for adding a base station to the current 5G network if the coverage condition is judged to be weak coverage caused by inter-cell coverage holes.
The interference optimization processing device of the 5G network in this embodiment may be used to execute the above method embodiment, and the principle and technical effects of the interference optimization processing device are similar, and are not described herein again.
Referring to fig. 4, the electronic device includes: a processor (processor) 401, a memory (memory) 402, and a bus 403;
wherein,
the processor 401 and the memory 402 complete communication with each other through the bus 403;
the processor 401 is configured to call the program instructions in the memory 402 to perform the methods provided in the above method embodiments.
The present embodiments disclose a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, are capable of performing the methods provided by the method embodiments described above.
The present embodiment provides a non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the methods provided by the above-described method embodiments.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
It should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The interference optimization processing method for the 5G network is characterized by comprising the following steps of:
acquiring measurement data, and acquiring each neighbor cell in the measurement data according to the measurement data;
calculating the interference contribution degree of each adjacent cell according to the measurement data, and calculating the interference contribution degree of the whole network according to the interference contribution degree of each adjacent cell;
performing interference optimization on the current 5G network according to the interference contribution degree of the whole network;
the method for calculating the interference contribution degree of each neighboring cell according to the measurement data, and calculating the interference contribution degree of the whole network according to the interference contribution degree of each neighboring cell specifically comprises the following steps:
calculating SINR of each serving cell according to SINR or SSB SINR of CSI RS of each wave beam of each serving cell in the measurement data;
calculating to obtain SSB RSRP difference values of the serving cell and the neighbor cell according to the SSB RSRP of each serving cell and the SSB RSRP of the neighbor cell in the measurement data;
matching in a preset table according to the SINR of each service cell and the SSB RSRP difference value between the service cell and the adjacent cell to obtain the interference contribution degree of each adjacent cell;
and calculating the sum of the interference contribution degrees of all adjacent cells of all cells in the whole network to obtain the interference contribution degree of the whole network.
2. The interference optimization processing method of a 5G network according to claim 1, wherein the measurement data is measurement report MR or minimization of drive test MDT measurement data;
the measurement data includes: the signal-to-interference-plus-noise ratio SINR of the channel state information reference signal CSI RS of the serving cell, the synchronous signal block SSB SINR of the serving cell, the reference signal receiving power SSB RSRP of the serving cell and the SSB RSRP of the neighbor cells, which are reported by the terminals of each cell.
3. The method for optimizing interference of the 5G network according to claim 1 or 2, wherein the performing interference optimization on the current 5G network according to the interference contribution of the whole network specifically includes:
if the interference contribution degree of the whole network is larger than the whole network threshold, judging the interference contribution degree of each adjacent cell;
if the interference contribution degree of the current neighbor cell is smaller than the neighbor cell threshold, the beam weight of the current cell is adjusted, otherwise, the manual optimization reminding information is generated.
4. The interference optimization processing method of a 5G network according to claim 3, wherein the interference optimization processing method of a 5G network further comprises:
checking the coverage condition of the 5G network after interference optimization according to the MDT data;
if the coverage condition is judged to be weak coverage caused by excessive optimization, the whole network threshold value and the neighbor cell threshold value are adjusted;
if the coverage condition is judged to be weak coverage caused by inter-cell coverage holes, adding a base station to the current 5G network.
5. An interference optimization processing device for a 5G network, comprising:
the data acquisition module is used for acquiring measurement data and acquiring each neighbor cell in the measurement data according to the measurement data;
the contribution degree calculation module is used for calculating the interference contribution degree of each adjacent cell according to the measurement data and obtaining the interference contribution degree of the whole network according to the interference contribution degree of each adjacent cell;
the interference optimization module is used for carrying out interference optimization on the current 5G network according to the interference contribution degree of the whole network;
the contribution degree calculation module is specifically configured to: calculating SINR of each serving cell according to SINR or SSB SINR of CSI RS of each wave beam of each serving cell in the measurement data;
calculating to obtain SSB RSRP difference values of the serving cell and the neighbor cell according to the SSB RSRP of each serving cell and the SSB RSRP of the neighbor cell in the measurement data;
matching in a preset table according to the SINR of each service cell and the SSB RSRP difference value between the service cell and the adjacent cell to obtain the interference contribution degree of each adjacent cell;
and calculating the sum of the interference contribution degrees of all adjacent cells of all cells in the whole network to obtain the interference contribution degree of the whole network.
6. The interference optimization processing device of a 5G network according to claim 5, wherein the measurement data is measurement report MR or minimization of drive test MDT measurement data;
the measurement data includes: the signal-to-interference-plus-noise ratio SINR of the channel state information reference signal CSI RS of the serving cell, the synchronous signal block SSB SINR of the serving cell, the reference signal receiving power SSB RSRP of the serving cell and the SSB RSRP of the neighbor cells, which are reported by the terminals of each cell.
7. The interference optimization processing device of a 5G network according to claim 5 or 6, wherein the interference optimization module is specifically configured to:
if the interference contribution degree of the whole network is larger than the whole network threshold, judging the interference contribution degree of each adjacent cell;
if the interference contribution degree of the current neighbor cell is smaller than the neighbor cell threshold, the beam weight of the current cell is adjusted, otherwise, the manual optimization reminding information is generated.
8. The interference optimization processing device of a 5G network according to claim 7, wherein the interference optimization processing device of a 5G network further comprises:
the coverage condition checking module is used for checking the coverage condition of the 5G network after interference optimization according to the MDT data;
the threshold adjustment module is used for adjusting the whole network threshold and the neighbor cell threshold if the coverage condition is judged to be weak coverage caused by excessive optimization;
and the base station adding module is used for adding a base station to the current 5G network if the coverage condition is judged to be weak coverage caused by inter-cell coverage holes.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the interference optimization method of a 5G network according to any of claims 1 to 4 when executing the program.
10. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the interference optimization processing method of a 5G network according to any of claims 1 to 4.
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