CN112020071B - Cell frequency planning method and device - Google Patents
Cell frequency planning method and device Download PDFInfo
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- CN112020071B CN112020071B CN201910465789.0A CN201910465789A CN112020071B CN 112020071 B CN112020071 B CN 112020071B CN 201910465789 A CN201910465789 A CN 201910465789A CN 112020071 B CN112020071 B CN 112020071B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/02—Resource partitioning among network components, e.g. reuse partitioning
- H04W16/10—Dynamic resource partitioning
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The disclosure provides a cell frequency planning method and a cell frequency planning device, and relates to the field of mobile communication. The method comprises the following steps: calculating the distance from the center of the target cell to the strongest coverage point; determining the distance of the strongest coverage point between the target cell and each corresponding homomode cell based on the distance; determining a relevant cell of the target cell according to the distance and the number of the distributed frequency points; and configuring different frequency points for the target cell and each cell in the corresponding associated cell. The method and the device can effectively reduce the interference level of the network.
Description
Technical Field
The present disclosure relates to the field of mobile communications, and in particular, to a cell frequency planning method and apparatus.
Background
In LTE, a terminal distinguishes radio signals of different cells by a PCI (Physical Cell Identifier). The LTE system provides 504 PCIs, the concept of the PCI is similar to that of 128 scrambling codes of the TD-SCDMA system, and when network management is configured, a number between 0 and 503 is configured for a cell. In the LTE cell search process, a specific cell ID (identity) is determined by retrieving a PSS (Primary Synchronization Signal) and an SSS (Secondary Synchronization Signal) and combining the two, where the PSS includes numbers 0, 1,2, and the SSS number is from 0 to 167. Wherein, according to the formula PCI ═ 3 × groupid (sss) + sectorid (pss), a total of 504 PCIs are obtained.
Modulo 3(mod3) interference means that if the PCI is divided by 3, the PSS signals are the same, resulting in interference. When the cells with the same frequency point and the PSS signal cover the same position and the level difference value of the two cells does not meet the requirement, the module 3 interference is generated.
The technical characteristics of NB-IoT (Narrow Band Internet of Things) bring ultra-strong coverage gain, and based on the current network base station transmitting Power configuration level, the RSRP (Reference Signal Receiving Power) value of each local network coverage strength is better. However, problems caused by the increase of overlapping coverage also follow, the overall SINR (Signal to Interference plus Noise Ratio) of the network is poor, the co-channel Interference between cells is very serious, and the NB-IoT service access success rate is affected. And reducing base station transmit power or increasing inter-station spacing will result in degraded indoor coverage.
Disclosure of Invention
One technical problem to be solved by the present disclosure is to provide a cell frequency planning method and apparatus, which can effectively reduce the interference level of a network.
According to an aspect of the present disclosure, a method for planning cell frequency is provided, including: calculating the distance from the center of the target cell to the strongest coverage point; determining the distance of the strongest coverage point between the target cell and each corresponding homomode cell based on the distance; determining a relevant cell of the target cell according to the distance and the number of the distributed frequency points; and configuring different frequency points for each cell in the target cell and the corresponding associated cell.
In some embodiments, calculating an average of the distances between each target cell and the strongest coverage points between the corresponding associated cells; determining the priority of the target cell in the order from small to large of the distance average value; and according to the priority sequence of the target cell, configuring different frequency points for the target cell and each cell in the corresponding associated cell in sequence until all the cells are configured with the frequency points.
In some embodiments, a corresponding same-mode co-sited cell of each target cell is determined; and preferentially taking the same-mode co-sited cell corresponding to the target cell as the associated cell corresponding to the target cell.
In some embodiments, according to the order from small to large, the homomodule cells are sequentially selected as the associated cells of the target cell, wherein the sum of the cell numbers of the target cell and the associated cell corresponding to the target cell is equal to the number of the frequency points.
In some embodiments, determining the distance of the strongest coverage point between the target cell and each corresponding modulo cell comprises: determining the station spacing between a target cell and a homomode cell; and determining the distance of the strongest coverage point between the target cell and each corresponding homomode cell according to the difference between the distance between the stations and the strongest coverage point of the target cell and the distance between the strongest coverage points of the homomode cells.
In some embodiments, calculating the distance from the center of the target cell to the strongest coverage point comprises: determining a correction value according to the cell antenna downward inclination angle factor, the cell antenna total downward inclination angle, the distance factor, the transmitting antenna height multiplier factor and the effective height of the receiving antenna; correcting the standard propagation model based on the correction value to obtain a corrected propagation model; and calculating the distance from the center of each target cell to the strongest coverage point by using the modified propagation model.
According to another aspect of the present disclosure, a cell frequency planning apparatus is further provided, including: a strongest coverage point distance calculating unit configured to calculate a distance from a center of the target cell to the strongest coverage point; the strongest coverage point distance determining unit is configured to determine the distance of the strongest coverage points between the target cell and each corresponding homomode cell based on the distance; the associated cell determining unit is configured to determine the associated cell of the target cell according to the distance and the number of the distributed frequency points; and the cell frequency planning unit is configured to configure different frequency points for the target cell and each cell in the corresponding associated cell.
In some embodiments, the distance average calculation unit is configured to calculate a distance average of strongest coverage points between each target cell and the corresponding associated cell; a priority determining unit configured to determine priorities of the target cells in order of a small to a large distance average; the cell frequency planning unit is configured to configure different frequency points for the target cell and each cell in the corresponding associated cell in sequence according to the priority order of the target cell until all the cells are configured with the frequency points.
In some embodiments, the common-mode co-sited cell determining unit is configured to determine a common-mode co-sited cell corresponding to each target cell; the associated cell determining unit is configured to preferentially use a same-mode co-sited cell corresponding to the target cell as an associated cell corresponding to the target cell.
According to another aspect of the present disclosure, a cell frequency planning apparatus is further provided, including: a memory; and a processor coupled to the memory, the processor configured to perform a cell frequency planning method as described above based on the instructions stored in the memory.
According to another aspect of the present disclosure, a computer-readable storage medium is also proposed, on which computer program instructions are stored, which instructions, when executed by a processor, implement the above-mentioned cell frequency planning method.
Compared with the prior art, the method and the device have the advantages that under the condition that available frequency points are limited, different frequencies are preferentially configured for the same-mode adjacent cells based on the associated cell constraint conditions, the most main source of inter-cell interference is avoided, and the interference level of a network can be effectively reduced.
Other features of the present disclosure and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description, serve to explain the principles of the disclosure.
The present disclosure may be more clearly understood from the following detailed description taken in conjunction with the accompanying drawings, in which:
fig. 1 is a flowchart illustrating a cell frequency planning method according to an embodiment of the present disclosure.
Fig. 2 is a schematic diagram of the distance from the center of the cell to the strongest coverage point according to the present disclosure.
Fig. 3 is a flowchart illustrating a cell frequency planning method according to another embodiment of the disclosure.
Fig. 4 is a schematic structural diagram of an embodiment of a cell frequency planning apparatus according to the present disclosure.
Fig. 5 is a schematic structural diagram of another embodiment of the disclosed cell frequency planning apparatus.
Fig. 6 is a schematic structural diagram of another embodiment of the disclosed cell frequency planning apparatus.
Fig. 7 is a schematic structural diagram of another embodiment of the disclosed cell frequency planning apparatus.
Fig. 8 is a schematic diagram of a PCI mod-trimap distribution of a cell in a certain area.
Fig. 9 is a schematic diagram of frequency allocation before cell planning in a certain area.
Fig. 10 is a flowchart illustrating a method for planning cell frequencies according to an embodiment of the present disclosure.
Fig. 11 is a schematic diagram of frequency allocation after cell planning in a certain area.
Fig. 12 is a diagram of drive test SINR before cell planning in a certain area.
Fig. 13 is a diagram of drive test SINR after a cell in a certain area is planned.
Fig. 14 is a diagram of drive test RSRP before planning a cell in a certain area.
Fig. 15 is a diagram of drive test RSRP after a cell of a certain area is planned.
Fig. 16 is a comparison graph of drive test SINR value segment statistics before cell planning in a certain area.
Fig. 17 is a comparison graph of the drive test SINR value segment statistics after a cell in a certain area is planned.
Detailed Description
Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be discussed further in subsequent figures.
For the purpose of promoting a better understanding of the objects, aspects and advantages of the present disclosure, reference is made to the following detailed description taken in conjunction with the accompanying drawings.
Fig. 1 is a flowchart illustrating a cell frequency planning method according to an embodiment of the present disclosure.
In step 110, the distance from the center of the target cell to the strongest coverage point is calculated. The strongest coverage point refers to the intersection point position of the antenna downward inclination angle direction and the ground.
In one embodiment, the correction value may be determined according to a cell antenna downtilt angle factor, a cell antenna total downtilt angle, a distance factor, a transmit antenna height factor, and an effective height of a receive antenna; correcting an SPM (Standard Propagation Model) based on a correction value to obtain a correction Propagation Model; and calculating the distance from the center of each target cell to the strongest coverage point by using the modified propagation model. The SPM model is established on the basis of a COST231-Hata empirical model and is used for predicting the propagation loss of radio waves in a frequency band of 150-2000 MHz, and the original formula is improved in the embodiment.
For example, according to
The distance D from the center of each target cell to the strongest coverage point P is determined.
As shown in fig. 2, H is the target cell antenna a hanging high; l1 is the path loss value of the cell signal, and is estimated according to the transmitting power of the current network base station and the statistical value of the receiving level of the user with the strongest coverage point, and the value is-110 dB; k1 is a constant (dB) that is frequency dependent; k2 is a distance factor, which shows how fast the field intensity changes with the distance; k3 is a multiplier factor, which indicates the condition that the field intensity changes with the height of the transmitting antenna; k5 is a multiplier factor, highly correlated with the transmitting antenna; k5 is a multiplier factor, which indicates the condition that the field intensity changes with the height of the receiving antenna; h m Is the effective height (m) of the receiving antenna; k7 is a multiplier factor, which indicates the condition that the field intensity changes with the declination angle of the transmitting antenna; down is the total Downtilt angle (electronic) of the cell antenna+ mechanical); k is c Is a multiplier factor that represents the weight of the terrain loss; f. of c Is the average weighted loss due to terrain.
In the step, the influence of the antenna downward inclination angle on signal propagation is considered when the distance from the center of the target cell to the strongest coverage point is calculated, and the accuracy of distance calculation is improved. In addition, as shown in table 1, the values of the respective parameters can be verified by the test data.
| Cell type | Frequency band | K1 | K2 | K3 | K5 | K6 | K7 | K c | f c |
| Outdoor station | 800M | 31.7 | 38.23 | -0.08 | -6.54 | 0 | 30 | 1 | 16 |
TABLE 1
In step 120, the distance between the strongest coverage point of the target cell and each corresponding homomoded cell is determined.
In one embodiment, the station spacing between the target cell and the same-mode cell is determined; and determining the distance of the strongest coverage point between the target cell and the corresponding homomodel cell according to the difference between the distance between the stations and the strongest coverage point distance of the target cell and the strongest coverage point distance of the homomodel cell.
For example, according to the formula L-111.12 cos {1/[ sin φ A sin φ B + cos φ A cos φ B cos (λ B- λ A)]And calculating the station spacing L between the target cell and the same-mode cell. Wherein, (λ a, Φ a), (λ B, Φ B) are longitude and latitude of the target cell and the homomodulo cell, respectively. According to formula d n ＝L-D-D n Calculating the distance d between the strongest coverage points between the target cell and the corresponding homomodal cell n Wherein n is 1,2,3 n The distance from the center of the nth modulo cell to the strongest coverage point.
In step 130, the associated cell of the target cell is determined according to the distance and the number of the allocated frequency points. For example, if the number of allocated frequency points is N, the associated cells of the target cell may be N-1.
In one embodiment, a corresponding same-mode co-sited cell of each target cell is determined; and preferentially taking the same-mode co-sited cell corresponding to the target cell as the associated cell corresponding to the target cell. According to the configuration of the existing network, if the same base station configures 4 or more cells, the phenomenon that the same site has the same-mode cell may occur, and the type of interference is the worst case of co-channel interference, so whether the co-site cell is in the same mode or not needs to be checked, and if so, the co-mode co-site cell is preferentially taken as the associated cell corresponding to the target cell. And then, sequentially selecting the homotypic cells as the associated cells of the target cell according to the sequence from small to large of the distance, wherein the sum of the cell numbers in the target cell and the associated cell corresponding to the target cell is equal to the number of the frequency points.
In step 140, different frequency points are configured for the target cell and each cell in the corresponding associated cell. Since the coverage distance between the associated cells is the closest and the overlapping coverage is most likely to occur, the pilot frequency should be configured.
In the above embodiment, under the condition that available frequency points are limited, based on the associated cell constraint condition, the pilot frequency is preferentially configured for the neighboring cells in the same mode, so that the most main source of inter-cell interference is avoided, and the interference level of the network can be effectively reduced. For cells with different PCI modulo 3 values, even if signals are overlapped, the RS positions are staggered through a frequency domain, and the contribution degree to the network SINR deterioration is relatively small.
Fig. 3 is a flowchart illustrating a cell frequency planning method according to another embodiment of the disclosure.
At step 310, the distance from the center of the target cell to the strongest coverage point is calculated.
In step 320, the distance between the strongest coverage point between the target cell and each corresponding homomoded cell is determined.
In step 330, the common-mode co-sited cell corresponding to each target cell is determined, and the common-mode co-sited cell corresponding to the target cell is preferentially taken as the associated cell corresponding to the target cell.
In step 340, according to the sequence from small to large, the homomode cells are sequentially selected as the associated cells of the target cell, wherein the number of the cells in the target cell and the corresponding associated cells is the number of the frequency points.
At step 350, an average of the distances between the strongest coverage points of each target cell and the corresponding associated cell is calculated.
For example, using formulas
Calculating the average distance between the strongest coverage points between each target cell and the corresponding associated cell
In step 360, the priorities of the target cells are determined in order of the smaller to larger distance averages. According to
The values are sorted in ascending order, corresponding to the target cell
The smaller the value, the more serious the overlapping coverage of the cell may be, so that the different frequency needs to be preferentially allocated, and the higher the priority of the target cell is.
In step 370, according to the priority order of the target cell, different frequency points are configured for the target cell and each cell in the corresponding associated cells in sequence. For example, first
The target cell with the smallest value and its associated cells are used as a group, and each cell in the group is allocated with a different frequency point, for example, randomly allocated among N frequency points. Then, selecting again
And the target cell with the second smallest value and the associated cell are used as a group, and different frequency points are allocated to each cell in the group. By analogy, i.e. according to cell
And carrying out frequency point allocation in a round-robin manner.
In step 380, it is determined whether all cells have been allocated, if yes, the task is ended, otherwise, step 310 is continued. If a certain cell has been allocated with a frequency point in the allocation process, then the frequency point can be allocated to the cell again.
In the above embodiment, the distance values of the associated cells are calculated according to the associated cell constraint, the co-location constraint and the cell distance round robin as principles, and the ascending order of the distance values is used as the priority order of cell frequency allocation, so that the cells with larger overlapping coverage among the cells have higher priority. Since the root cause of interference is the overlapping of coverage signals among cells, the scheme ensures that the cells with large coverage overlap can preferentially use the pilot frequency. The embodiment can effectively reduce the network interference level, improve the network SINR mean value, improve the service access success rate of the Internet of things and reduce the access time delay.
Fig. 4 is a schematic structural diagram of an embodiment of a cell frequency planning apparatus according to the present disclosure. The apparatus includes a strongest coverage point distance calculation unit 410, a strongest coverage point distance determination unit 420, an associated cell determination unit 430, and a cell frequency planning unit 440.
The strongest coverage point distance calculating unit 410 is configured to calculate the distance of the center of the target cell to the strongest coverage point.
In one embodiment, the correction value may be determined according to a cell antenna downtilt angle factor, a cell antenna total downtilt angle, a distance factor, a transmit antenna height factor, and an effective height of a receive antenna; correcting the SPM based on the correction value to obtain a correction propagation model; and calculating the distance from the center of each target cell to the strongest coverage point by using the modified propagation model.
The strongest coverage point distance determining unit 420 is configured to determine the distance of the strongest coverage point between the target cell and each corresponding modulo cell based on the distance.
In one embodiment, the station spacing between the target cell and the same-mode cell is determined; and determining the distance of the strongest coverage point between the target cell and the corresponding same-mode cell according to the difference value of the distance between the stations and the strongest coverage point of the target cell and the distance of the strongest coverage point of the same-mode cell.
The associated cell determining unit 430 is configured to determine an associated cell of the target cell according to the distance and the number of the allocated frequency points. For example, if the number of allocated frequency points is N, the associated cells of the target cell may be N-1.
The cell frequency planning unit 440 is configured to configure the target cell and each of the corresponding associated cells with different frequency points. Since the coverage distance between the associated cells is the closest and the overlapping coverage is most likely to occur, the pilot frequency should be configured.
In the above embodiment, under the condition that available frequency points are limited, based on the constraint condition of the associated cell, the pilot frequency is preferentially configured for the neighboring cells in the same mode, so that the most main source of inter-cell interference is avoided, and the interference level of the network can be effectively reduced.
Fig. 5 is a schematic structural diagram of another embodiment of the disclosed cell frequency planning apparatus. The apparatus comprises a same-mode co-sited cell determining unit 510 in addition to a strongest coverage point distance calculating unit 410, a strongest coverage point distance determining unit 420, an associated cell determining unit 430 and a cell frequency planning unit 440.
Wherein the common-mode co-sited cell determining unit 510 is configured to determine a common-mode co-sited cell corresponding to each target cell.
The associated cell determining unit 430 is configured to preferentially use the co-sited cell corresponding to the target cell as the associated cell corresponding to the target cell.
According to the configuration of the existing network, if the same base station configures 4 or more cells, the phenomenon that the same site has the same cell may occur, and the type of interference is the worst case of co-channel interference, so whether co-site cells are in the same mode or not needs to be checked, and if so, the co-site cells in the same mode are preferentially taken as the associated cells corresponding to the target cell.
In the embodiment, the co-mode co-location cell interference is avoided by utilizing the co-location constraint adjustment, and the network interference level can be reduced.
In another embodiment of the present disclosure, the apparatus may further include a distance average calculation unit 520 and a priority determination unit 530.
The distance average calculation unit 520 is configured to calculate a distance average of the strongest coverage points between each target cell and the corresponding associated cell.
For example, using formulas
Calculating the strongest coverage between each target cell and the corresponding associated cellMean value of the distance between points
The priority determining unit 530 is configured to determine the priority of the target cell in order of the distance average from small to large.
According to
The values are sorted in ascending order, corresponding to the target cell
The smaller the value, the more serious the cell overlapping coverage may be, so that the higher the priority of the target cell needs to be assigned with the pilot frequency.
The cell frequency planning unit 440 is configured to configure different frequency points for the target cell and each cell in the corresponding associated cells in sequence according to the priority order of the target cell until all the cells are configured with the frequency points.
For example, first
The target cell with the smallest value and its associated cells are used as a group, and each cell in the group is allocated with a different frequency point, for example, randomly allocated among N frequency points. Then, it selects again
And the target cell with the second smallest value and the associated cell are used as a group, and different frequency points are allocated to each cell in the group. By analogy, i.e. according to cell
And carrying out frequency point allocation in a round-robin manner.
When the frequency of a certain cell has been allocated when planning the frequency for a high priority cell and its high neighbour, its frequency does not change any more if it is re-referenced when planning the frequency for a lower priority cell.
In the above embodiment, the distance correlation relationship between the cells in the whole network is used as the most direct reference for the overlapping coverage degree between the cells, and on this basis, the sequence of which cells need to allocate the pilot frequency and the cell frequency allocation is determined. And according to the number N of the usable frequency points, calculating and determining a group of high-association cells with the most serious overlapping coverage for each cell, wherein the high-association cells are used as a basic unit for frequency allocation. There may be a plurality of cells having overlapping coverage relation with a certain cell, and the present disclosure selects only the nearest (N-1) high-associated cells to allocate the pilot frequency. In addition, on the basis of the distance correlation of the whole network cells, the distance values of the high correlation cells are calculated, and the ascending order of the distance values is used as the priority order of cell frequency distribution, so that the cells with large coverage overlap can preferentially use different frequencies, the network interference level can be effectively reduced, the network SINR mean value is improved, the service access success rate of the internet of things is improved, and the access delay is reduced.
Fig. 6 is a schematic structural diagram of another embodiment of the disclosed cell frequency planning apparatus. The apparatus includes a memory 610 and a processor 620. Wherein: the memory 610 may be a magnetic disk, flash memory, or any other non-volatile storage medium. The memory 610 is used for storing instructions in the embodiments corresponding to fig. 1 and 3. Processor 620 is coupled to memory 610 and may be implemented as one or more integrated circuits, such as a microprocessor or microcontroller. The processor 620 is configured to execute instructions stored in the memory.
In one embodiment, the apparatus 700 may also include a memory 710 and a processor 720, as shown in FIG. 7. Processor 720 is coupled to memory 710 by BUS 730. The apparatus 700 may be further connected to an external storage device 750 through a storage interface 740 for accessing external data, and may be further connected to a network or another computer system (not shown) through a network interface 760, which will not be described in detail herein.
In this embodiment, the data instructions are stored in the memory and processed by the processor, so that the interference level of the network can be effectively reduced.
The technical solution of the present disclosure will be described below by taking a specific embodiment as an example.
And selecting an NB-IoT network in a certain area for verification, wherein the network adopts 800MHz networking, the configured frequency point number is 3, and the frequency point numbers are 2505, 2507 and 2509. The region comprises 97 base stations and 298 cells, the original frequency point setting is fixedly distributed according to the cell number, namely a cell 0 is configured with a frequency point 2505, a cell 1 is configured with a frequency point 2507, and a cell 2 is configured with a frequency point 2509. The distribution diagram of the cell PCI model 3 is shown in figure 8, and the frequency configuration of the cell before planning is shown in figure 9.
By using the technical scheme of the present disclosure, in step 1010, based on the cell parameters of the planned region, the distances from the centers of all cells in the region to the strongest coverage point of the cell are estimated.
In step 1020, the distances between the strongest coverage points of all cells are calculated. Table 2 shows the distances between the strongest coverage points of only some cells.
TABLE 2
In step 1030, the average of the distances between all cells and the strongest points between the nearest 2 isomode cells is calculated. Of these, tables 3-1 and 3-2 show the average values of the distances of only some of the cells.
TABLE 3-1
TABLE 3-2
In step 1040, the average of the distances between the strongest coverage points of all cells is calculated
And are ordered from small to large. Table 4 shows the average of the distances of the strongest coverage points between only some of the cells.
TABLE 4
At step 1050, according to
And sequentially and circularly allocating the frequency points from small to large until the frequency planning of all the cells is finished. For example, as shown in Table 5, in order to
Allocating frequency points to the smallest cell, and assuming the cell A in the cell frequency point allocation stage
And the two homomodule cells closest to the cell A are D and E to be the minimum, so that the frequency points of the cells A, D and E are preferentially allocated, namely three different frequency points are randomly allocated. After the distribution is finished, then pair
And the frequency point allocation is carried out on the cell, namely the cell B and two same-mode cells thereof. Similarly, when the D cell is circulated in turn, the frequency point allocated to the cell is detected, and the frequency point is directly ignored and the frequency point allocation of the next cell is continued.
TABLE 5
For the area in this embodiment, the planned frequency table is shown in table 6, where 97 modified frequency points are shown, and in table 6, only the frequency after the partial cell planning is shown.
TABLE 6
Through the above steps, the frequency planning work of the regional NB-IoT network is completed, and a schematic diagram of the frequency configuration after regional cell planning is shown in fig. 11. Fig. 12 is a diagram of drive test SINR before planning of a certain area cell, fig. 13 is a diagram of drive test SINR after planning of a certain area cell, fig. 14 is a diagram of drive test RSRP before planning of a certain area cell, fig. 15 is a diagram of drive test RSRP after planning of a certain area cell, fig. 16 is a diagram of segment statistics comparison of drive test SINR before planning of a certain area cell, and fig. 17 is a diagram of segment statistics comparison of drive test SINR after planning of a certain area cell. By comparison, the average SINR value before planning is 13.36dB, and the average SINR value after planning is 14.94dB, which is improved by 12%. The average value of RSRP before planning is-60.93 dBm, the average value of RSRP after planning is-55.31 dBm, and the improvement is 10%; the proportion of the covered points, namely sampling points with the RSRP value larger than-65 dBm, is increased from 63% to 80%, and the coverage index increasing effect is obvious.
In another embodiment, a computer-readable storage medium has stored thereon computer program instructions which, when executed by a processor, implement the steps of the method in the embodiments corresponding to fig. 1, 3. As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, apparatus, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Thus far, the present disclosure has been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. Those skilled in the art can now fully appreciate how to implement the teachings disclosed herein, in view of the foregoing description.
Although some specific embodiments of the present disclosure have been described in detail by way of example, it should be understood by those skilled in the art that the foregoing examples are for purposes of illustration only and are not intended to limit the scope of the present disclosure. It will be appreciated by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.
Claims (11)
1. A method of cell frequency planning, comprising:
calculating the distance from the center of the target cell to the strongest coverage point;
determining the distance of the strongest coverage point between the target cell and each corresponding homomode cell based on the distance;
determining the associated cells of the target cell according to the distance and the number of the distributed frequency points;
and configuring different frequency points for the target cell and each cell in the corresponding associated cell.
2. The cell frequency planning method according to claim 1, further comprising:
calculating the average distance of the strongest coverage points between each target cell and the corresponding associated cell;
determining the priority of the target cell in the order from small to large of the interval average value;
and according to the priority sequence of the target cell, configuring different frequency points for the target cell and each cell in the corresponding associated cell in sequence until all the cells are configured with the frequency points.
3. The cell frequency planning method according to claim 1 or 2, further comprising:
determining the same-mode co-sited cell corresponding to each target cell;
and preferentially taking the same-mode co-sited cell corresponding to the target cell as the associated cell corresponding to the target cell.
4. The cell frequency planning method according to claim 3,
and sequentially selecting the same-mode cells as the associated cells of the target cell according to the sequence of the distances from small to large, wherein the sum of the cell numbers of the target cell and the associated cell corresponding to the target cell is equal to the number of the frequency points.
5. The cell frequency planning method of claim 1, wherein determining a distance of a strongest coverage point between the target cell and each corresponding modulo cell comprises:
determining the station spacing between the target cell and the same-mode cell;
and determining the distance of the strongest coverage point between the target cell and each corresponding homomode cell according to the difference between the distance between the stations and the strongest coverage point distance of the target cell and the strongest coverage point distance of the homomode cell.
6. The cell frequency planning method according to claim 5, wherein calculating the distance from the center of the target cell to the strongest coverage point comprises:
determining a correction value according to the cell antenna downward inclination angle factor, the cell antenna total downward inclination angle, the distance factor, the transmitting antenna height multiplier factor and the effective height of the receiving antenna;
correcting the standard propagation model based on the correction value to obtain a corrected propagation model;
and calculating the distance from the center of each target cell to the strongest coverage point by using the corrected propagation model.
7. A cell frequency planning apparatus, comprising:
a strongest coverage point distance calculating unit configured to calculate a distance from a center of the target cell to the strongest coverage point;
a strongest coverage point distance determining unit configured to determine a distance of a strongest coverage point between the target cell and each corresponding homomode cell based on the distance;
the associated cell determining unit is configured to determine the associated cell of the target cell according to the distance and the number of the distributed frequency points;
and the cell frequency planning unit is configured to configure different frequency points for the target cell and each cell in the corresponding associated cell.
8. The cell frequency planning apparatus of claim 7 further comprising:
the distance average value calculating unit is configured to calculate the distance average value of the strongest coverage point between each target cell and the corresponding associated cell;
a priority determining unit configured to determine priorities of the target cells in order of a small to a large distance average;
the cell frequency planning unit is configured to configure different frequency points for the target cell and each cell in the corresponding associated cells in sequence according to the priority order of the target cell until all the cells are configured with the frequency points.
9. The cell frequency planning apparatus according to claim 7 or 8, further comprising:
a common-mode co-sited cell determining unit configured to determine a common-mode co-sited cell corresponding to each target cell;
the associated cell determining unit is configured to preferentially use the same-mode co-sited cell corresponding to the target cell as the associated cell corresponding to the target cell.
10. A cell frequency planning apparatus, comprising:
a memory; and
a processor coupled to the memory, the processor configured to perform the cell frequency planning method of any of claims 1-6 based on instructions stored in the memory.
11. A computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the cell frequency planning method of any of claims 1 to 6.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2011127789A1 (en) * | 2010-04-13 | 2011-10-20 | 中兴通讯股份有限公司 | Method and apparatus for neighbor cell optimization in wireless communication network |
| CN102244872A (en) * | 2010-05-12 | 2011-11-16 | 普天信息技术研究院有限公司 | Frequency planning method of TD-SCDMA (Time Division Synchronization Code Division Multiple Access) cells |
| CN102883329A (en) * | 2011-07-15 | 2013-01-16 | 中国移动通信集团广东有限公司 | Distribution method and device for cell frequency points |
| CN103916862A (en) * | 2012-12-31 | 2014-07-09 | 中国移动通信集团广东有限公司 | A method and device for allocating frequency points to cells |
| WO2016016782A2 (en) * | 2014-07-28 | 2016-02-04 | Telefonaktiebolaget L M Ericsson (Publ) | System and method of automatic neighbor relation (anr) intelligence enhancement for boomer neighbor in lte |
| CN106341829A (en) * | 2015-07-06 | 2017-01-18 | 中国移动通信集团公司 | Frequency point configuration method and device |
| CN106817768A (en) * | 2015-12-01 | 2017-06-09 | 中国移动通信集团广东有限公司 | A kind of TD-SCDMA network frequency allocation method and device |
| CN107182062A (en) * | 2016-03-11 | 2017-09-19 | 中国移动通信集团广东有限公司 | Physical area optimization method and device in LTE network |
| CN107395313A (en) * | 2017-07-24 | 2017-11-24 | 中国联合网络通信集团有限公司 | A kind of method and device for reducing inter-cell interference |
-
2019
- 2019-05-31 CN CN201910465789.0A patent/CN112020071B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2011127789A1 (en) * | 2010-04-13 | 2011-10-20 | 中兴通讯股份有限公司 | Method and apparatus for neighbor cell optimization in wireless communication network |
| CN102244872A (en) * | 2010-05-12 | 2011-11-16 | 普天信息技术研究院有限公司 | Frequency planning method of TD-SCDMA (Time Division Synchronization Code Division Multiple Access) cells |
| CN102883329A (en) * | 2011-07-15 | 2013-01-16 | 中国移动通信集团广东有限公司 | Distribution method and device for cell frequency points |
| CN103916862A (en) * | 2012-12-31 | 2014-07-09 | 中国移动通信集团广东有限公司 | A method and device for allocating frequency points to cells |
| WO2016016782A2 (en) * | 2014-07-28 | 2016-02-04 | Telefonaktiebolaget L M Ericsson (Publ) | System and method of automatic neighbor relation (anr) intelligence enhancement for boomer neighbor in lte |
| CN106341829A (en) * | 2015-07-06 | 2017-01-18 | 中国移动通信集团公司 | Frequency point configuration method and device |
| CN106817768A (en) * | 2015-12-01 | 2017-06-09 | 中国移动通信集团广东有限公司 | A kind of TD-SCDMA network frequency allocation method and device |
| CN107182062A (en) * | 2016-03-11 | 2017-09-19 | 中国移动通信集团广东有限公司 | Physical area optimization method and device in LTE network |
| CN107395313A (en) * | 2017-07-24 | 2017-11-24 | 中国联合网络通信集团有限公司 | A kind of method and device for reducing inter-cell interference |
Non-Patent Citations (1)
| Title |
|---|
| TD-LTE PCI规划研究与分析;邓何勤;《通信与信息技术》;20150315(第2期);全文 * |
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