CN110582110A - Optimal cell selection method for NB-IoT network overlapping coverage area - Google Patents
Optimal cell selection method for NB-IoT network overlapping coverage area Download PDFInfo
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Abstract
The embodiment of the invention provides an optimal cell selection method for an NB-IoT network overlapping coverage area, which comprises the following steps: if the current area is judged and known to be the overlapping coverage area, scanning the current area to obtain the ratio of the average signal strength and the strongest signal time length of all candidate cells in the current area within the preset time length; acquiring a signal quality score of each candidate cell according to the ratio of the average signal strength of each candidate cell to the duration of the strongest signal; and according to the signal quality score of each candidate cell, selecting an optimal cell from all candidate cells and accessing the optimal cell. According to the method provided by the embodiment of the invention, the optimal cell is selected according to the ratio of the average signal strength and the strongest signal time length of each candidate cell in the preset time length, so that the problem of ping-pong selection in an overlapped coverage scene is solved, the reselection times of the terminal in the overlapped coverage scene are reduced, the power consumption of the terminal is reduced, and the endurance time of the terminal is prolonged.
Description
Technical Field
The embodiment of the invention relates to the technical field of wireless communication, in particular to an optimal cell selection method for an NB-IoT network overlapping coverage area.
background
The low power consumption characteristic is an important index of the application of the Internet of things, and particularly for some equipment and occasions where batteries cannot be replaced frequently, such as various sensing and monitoring equipment arranged in remote areas of mountain wildlands, the service life of the batteries is the most essential requirement for the service life of the batteries which can be as long as several years because the equipment cannot be charged like a smart phone one day.
Narrow-Band Internet of Things (NB-IoT) focuses on small data volume and low-rate applications, the power consumption of NB-IoT equipment can be very small, and the endurance time of the equipment can be greatly improved from the past months to years.
For an overlapping coverage scene in an NB-IoT network, a plurality of signals with equivalent quality exist on site, and after the residence of a cell is finished, when a neighboring cell with equivalent signal quality meets an R criterion, the reselection of the corresponding cell can be carried out. Since the protocol does not support Qoffset setting of S criterion and R criterion, the cell reselection triggered by the adjacent cell with equivalent signal quality inevitably causes the ping-pong selection phenomenon of the overlapped coverage area, and the increase of reselection times causes unnecessary loss of excessive electric quantity of the terminal, which is contrary to the purpose of NB-IoT low power consumption.
Disclosure of Invention
the embodiment of the invention provides an optimal cell selection method for an NB-IoT network overlapping coverage area, which is used for solving the problem of power consumption of a terminal caused by ping-pong selection in the existing overlapping coverage scene.
In one aspect, an embodiment of the present invention provides a method for selecting an optimal cell in an NB-IoT network overlapping coverage area, including:
If the current area is judged and known to be the overlapping coverage area, scanning the current area to obtain the ratio of the average signal strength and the strongest signal time length of all candidate cells in the current area within the preset time length;
Acquiring a signal quality score of each candidate cell according to the ratio of the average signal strength of each candidate cell to the duration of the strongest signal;
and according to the signal quality score of each candidate cell, selecting an optimal cell from all candidate cells and accessing the optimal cell.
In another aspect, an embodiment of the present invention provides an apparatus for selecting an optimal cell in an NB-IoT network overlapping coverage area, including:
The scanning module is used for scanning the current area to obtain the ratio of the average signal strength and the strongest signal time length of all candidate cells in the current area within the preset time length if the current area is judged and known to be the overlapping coverage area;
The scoring module is used for acquiring the signal quality score of each candidate cell according to the ratio of the average signal strength of each candidate cell to the duration of the strongest signal;
and the selection module is used for selecting the optimal cell from all the candidate cells according to the signal quality score of each candidate cell and accessing the optimal cell.
in another aspect, an embodiment of the present invention provides an NB-IoT network overlapping coverage area optimal cell selection apparatus, including a processor, a communication interface, a memory and a bus, where the processor, the communication interface, and the memory complete communication with each other through the bus, and the processor may call a logic instruction in the memory to execute a previous NB-IoT network overlapping coverage area optimal cell selection method.
in yet another aspect, an embodiment of the present invention provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the foregoing NB-IoT network overlapping coverage area optimal cell selection method.
According to the method for selecting the optimal cell in the NB-IoT network overlapping coverage area, provided by the embodiment of the invention, the optimal cell is selected according to the ratio of the average signal strength and the strongest signal time length of each candidate cell in the preset time length, so that the problem of ping-pong selection in an overlapping coverage scene is solved, the reselection times of the terminal in the overlapping coverage scene are reduced, the power consumption of the terminal is reduced, and the endurance time of the terminal is prolonged.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a flowchart illustrating a method for selecting an optimal cell in an NB-IoT network overlapping coverage area according to an embodiment of the present invention;
Fig. 2 is a schematic structural diagram of an optimal cell selection apparatus for an NB-IoT network overlapping coverage area according to an embodiment of the present invention;
Fig. 3 is a schematic structural diagram of an optimal cell selection device for an NB-IoT network overlapping coverage area according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
under the overlapping coverage scene in the NB-IoT network, the occurrence of the ping-pong phenomenon in the overlapping coverage area is inevitably caused by cell reselection triggered by the neighboring cells with comparable signal quality, and the unnecessary loss of excessive power consumption of the terminal is caused by the increase of the reselection times, which is contrary to the purpose of low power consumption of the NB-IoT. Therefore, when selecting a cell of a terminal, it is necessary to select a cell having a continuously good signal quality as an optimal cell. Fig. 1 is a flowchart illustrating a method for selecting an optimal cell in an NB-IoT network overlapping coverage area according to an embodiment of the present invention, and as shown in fig. 1, the method for selecting an optimal cell in an NB-IoT network overlapping coverage area includes:
And 101, if the current area is judged and known to be the overlapping coverage area, scanning the current area to obtain the ratio of the average signal strength and the strongest signal time length of all candidate cells in the current area within the preset time length.
an overlapping coverage area is an area in which there are multiple cells that meet the S criteria and have comparable signal quality. In an overlapping coverage area, when any cell with equivalent quality and meeting the S criterion meets the R criterion, cell reselection may be triggered, and as the NB-IoT protocol does not support Qoffset setting of the S criterion and the R criterion, ping-pong selection in the overlapping coverage area is easily caused, and an increase in the number of reselections causes unnecessary loss due to excessive power consumption of the terminal. Under the above situation, the method in the embodiment of the present invention is executed with the terminal UE as an execution subject to achieve selection of an optimal cell.
the candidate cells are cells which are detected by the terminal UE in the current area and satisfy the S criterion and the signal quality satisfies the predetermined condition, and a difference between the signal qualities of each candidate cell is smaller than a predetermined threshold. The average signal strength of any candidate cell refers to an average value of signal strengths of the candidate cells detected by the terminal UE within a preset time length, and the strongest signal time length ratio of any candidate cell refers to a ratio of the time length of the signal strength of the candidate cell detected by the terminal UE within the preset time length to the preset time length of the signal strength maximum value of all the candidate cells.
and 102, acquiring a signal quality score of each candidate cell according to the ratio of the average signal strength of each candidate cell to the duration of the strongest signal.
here, the signal quality score of any candidate cell is obtained based on the ratio of the average signal strength and the strongest signal duration of all candidate cells in the current area. There are various methods for obtaining the signal quality score of any candidate cell based on the average signal strength and the ratio of the strongest signal durations of all candidate cells in the current area, for example, the difference between the average signal strength of the candidate cell and the average signal strength of all candidate cells is weighted and added to the difference between the ratio of the strongest signal durations of the candidate cells and the average ratio of the strongest signal durations of all candidate cells to obtain the average signal quality score of the candidate cell.
And 103, selecting an optimal cell from all the candidate cells according to the signal quality score of each candidate cell, and accessing the optimal cell.
Here, there are various methods for selecting the optimal cell based on the signal quality score of each candidate cell, for example, comparing the signal quality score of each candidate cell with a preset score threshold, selecting the optimal cell according to the comparison result, for example, first three candidate cells with the highest signal quality scores are selected first, and the candidate cell with the longest strongest signal duration ratio is selected as the optimal cell.
It should be noted that the method provided in the embodiment of the present invention may be used not only in the case of performing initial cell selection by the terminal UE in an overlapping coverage scenario, but also in the case of performing cell reselection after the terminal UE is triggered to perform cell reselection in the overlapping coverage scenario, which is not specifically limited in this embodiment of the present invention.
In the embodiment of the invention, the optimal cell is selected by scanning the ratio of the average signal strength and the strongest signal time length of each candidate cell in the preset time length, so that the problem of ping-pong selection in an overlapped coverage scene is solved, the reselection times of the terminal in the overlapped coverage scene are reduced, the power consumption of the terminal is reduced, and the endurance time of the terminal is prolonged.
based on the above embodiments, a method for selecting an optimal cell in an NB-IoT network overlapping coverage area includes, if it is determined that a current area is an overlapping coverage area, specifically: and initially scanning the current area, if the current area has more than or equal to a preset number of cells which have signal quality differences smaller than a preset threshold and meet the S criterion, taking the current area as an overlapping coverage area, and taking the cells which have the signal quality differences smaller than the preset threshold and meet the S criterion as candidate cells. It should be noted that the initial scanning of the terminal UE is used to acquire a cell with the strongest signal on each NB-IoT carrier in the frequency band, and the terminal UE may determine whether the current area is an overlapping coverage area according to the result of the initial scanning.
For example, the preset number is 3 and the preset threshold is 6 db. The terminal UE scans the current area to know that there are 6 cells satisfying the S criterion in the current area, and if the difference between the signal qualities of 4 cells is less than or equal to 6db, the 4 cells are considered as candidate cells, and the current area is an overlapping coverage area.
in the embodiment of the invention, the reference is provided for judging whether the current area is the overlapping coverage area or not by limiting the preset number and the preset threshold value.
based on any of the above embodiments, a method for selecting an optimal cell in an NB-IoT network overlapping coverage area obtains a signal quality score of each candidate cell according to a ratio of an average signal strength of each candidate cell to a duration of a strongest signal, specifically including:
for any candidate cell, ranking each candidate cell according to the average signal strength of each candidate cell to obtain the average signal strength ranking of the candidate cell 201. Here, the ranking of each candidate cell may be performed in an order from high to low of the average signal strength of each candidate cell, or in an order from low to high of the average signal strength of each candidate cell, which is not specifically limited in the embodiment of the present invention.
202, ranking each candidate cell according to the strongest signal time length ratio of each candidate cell to obtain the strongest signal time length ratio ranking of the candidate cell. Here, the candidate cells may be ranked in an order from high to low according to the strongest signal duration ratio of each candidate cell, or in an order from low to high according to the strongest signal duration ratio of each candidate cell, which is not specifically limited in this embodiment of the present invention.
It should be noted that step 202 may be executed before step 201, or may be executed simultaneously with step 201, and the execution order of steps 201 and 202 is not limited in the embodiment of the present invention.
And 203, calculating the signal quality score of the candidate cell according to the average signal strength ranking of the candidate cell, the ratio ranking of the strongest signal time length and the number of the candidate cells in the current region.
In step 203, there are various methods for calculating the signal quality score of any candidate cell according to the average signal strength ranking, the strongest signal time length ratio ranking and the number of candidate cells in the current region, for example, the number of candidate cells and the ratio of the average signal strength ranking to the sum of the strongest signal time length ratio ranking are used as the signal quality score of the candidate cell, or the sum of the ratio of the number of candidate cells to the average signal strength ranking and the ratio of the number of candidate cells to the strongest signal time length ratio ranking is used as the signal quality score of the candidate cell, which is not specifically limited in the present invention.
preferably, the signal quality score of the candidate cell may be calculated according to the following formula:
In the formula, SiIs the signal quality score of the candidate cell i, N is the number of candidate cells of the current region, QiIs the average signal strength ranking, T, of the candidate cell iiThe time length of the strongest signal of the candidate cell i is the ranking, a is the ranking weight of the average signal strength, and b is the time length of the strongest signal is the ranking weight.
for example, in an overlapping coverage scenario, when the terminal UE initially scans, if a scanning result indicates that A, B, C, D, E five candidate cells with signal strengths within 6db simultaneously exist in a current area, it is determined that the area is an overlapping coverage area, and then the terminal UE performs a secondary scanning mechanism according to a secondary scanning duration, that is, a preset duration. According to the secondary scanning result, according to the sequence from high to low, respectively sorting each candidate cell according to the average signal intensity and the strongest signal duration ratio of each candidate cell, and obtaining a sorting result as follows:
a: average signal strength ranking 1, and strongest signal duration accounting for ranking 2;
B: average signal strength ranking 5, the strongest signal duration accounts for 5;
c: average signal strength ranking 2, the strongest signal duration accounts for ranking 1;
d: average signal strength ranking 3, and strongest signal duration accounting for ranking 4;
e: average signal strength ranking 4, and strongest signal duration occupying 3;
The calculation is made according to the following formula:
Wherein N is 5, a is 0.6, and b is 0.4.
Each candidate cell signal quality score is as follows:
SA＝5/1*0.6+5/2*0.4＝4；
SB＝5/5*0.6+5/5*0.4＝1；
SC＝5/2*0.6+5/1*0.4＝3.5；
SD＝5/3*0.6+5/4*0.4＝1.5；
SE＝5/4*0.6+5/3*0.4＝1.417。
Based on any of the above embodiments, a method for selecting an optimal cell in an NB-IoT network overlapping coverage area, where a current area is scanned, and if there are more than or equal to a preset number of cells in the current area whose signal quality differences are smaller than a preset threshold and meet an S criterion, the current area is taken as an overlapping coverage area, and the cells whose signal quality differences are smaller than the preset threshold and meet the S criterion are taken as candidate cells, further includes: and if the current area does not have more than or equal to a preset number of cells which have signal quality differences smaller than a preset threshold and meet the S criterion, taking the cell which has the highest signal strength and meets the S criterion in the current area as an optimal cell and accessing the optimal cell.
when selecting the optimal cell, firstly, the terminal UE scans the current area and judges whether the current area is an overlapping coverage area according to the scanning result. Here, if the current area is not the overlapping coverage area, the terminal system does not perform scanning any more, but directly takes the cell satisfying the S criterion with the highest signal strength in the initial scanning result as the optimal cell.
Based on any of the above embodiments, a method for selecting an optimal cell in an NB-IoT network overlapping coverage area selects an optimal cell from all candidate cells according to a signal quality score of each candidate cell, which specifically includes: and taking the candidate cell corresponding to the maximum signal quality score as the optimal cell.
For example, in an overlapping coverage scenario, the signal quality scores of the candidate cells calculated by the terminal UE are shown in the following table:
Table 1 candidate cell signal quality scoring table
as can be seen from the signal quality scores of the candidate cells shown in table 1, the signal quality score of the candidate cell a is the highest, so that the candidate cell a is selected as the optimal cell.
based on any of the above method embodiments, fig. 2 is a schematic structural diagram of an NB-IoT network overlapping coverage area optimal cell selection apparatus according to an embodiment of the present invention, and as shown in fig. 2, the NB-IoT network overlapping coverage area optimal cell selection apparatus includes a scanning module 201, a scoring module 202, and a selecting module 203.
The scanning module 201 is configured to scan the current area if it is determined that the current area is an overlapping coverage area, and obtain a ratio of average signal strength to strongest signal duration of all candidate cells in the current area within a preset duration. The scoring module 202 is configured to obtain a signal quality score of each candidate cell according to a ratio of the average signal strength of each candidate cell to the duration of the strongest signal. The selecting module 203 is configured to select an optimal cell from all candidate cells according to the signal quality score of each candidate cell, and access the optimal cell.
It should be noted that, the scanning module 201, the scoring module 202, and the selecting module 203 cooperate to execute the method for selecting the optimal cell in the NB-IoT network overlapping coverage area in the foregoing embodiment, and specific functions of the system refer to the above embodiment of the method for selecting the optimal cell in the NB-IoT network overlapping coverage area, which is not described herein again.
In the embodiment of the invention, the optimal cell is selected by scanning the ratio of the average signal strength and the strongest signal time length of each candidate cell in the preset time length, so that the problem of ping-pong selection in an overlapped coverage scene is solved, the reselection times of the terminal in the overlapped coverage scene are reduced, the power consumption of the terminal is reduced, and the endurance time of the terminal is prolonged.
Based on any of the above embodiments, a device for selecting an optimal cell in an NB-IoT network overlapping coverage area, where a scanning module 201 includes a determining subunit, where the determining subunit is configured to perform initial scanning on a current area, and if there are more than or equal to a preset number of cells in the current area whose signal quality differences are smaller than a preset threshold and meet an S criterion, take the current area as an overlapping coverage area, and take the cells whose signal quality differences are smaller than the preset threshold and meet the S criterion as candidate cells.
based on any of the above embodiments, an apparatus for selecting an optimal cell in an NB-IoT network overlapping coverage area, the scoring module 202 includes:
the signal intensity sorting submodule is used for sorting each candidate cell according to the average signal intensity of each candidate cell for any candidate cell to obtain the average signal intensity ranking of the candidate cell;
The time length ratio ordering submodule is used for ordering each candidate cell according to the time length ratio of the strongest signal of each candidate cell to obtain the time length ratio of the strongest signal of the candidate cell;
And the score calculating submodule is used for calculating the signal quality score of the candidate cell according to the average signal strength ranking of any candidate cell, the ratio ranking of the time length of the strongest signal and the number of the candidate cells in the current region.
Based on any of the above embodiments, an apparatus for selecting an optimal cell in an NB-IoT network overlapping coverage area further includes: and the non-overlapping selection module is used for taking the cell which has the highest signal strength and meets the S criterion in the current area as the optimal cell and accessing the optimal cell under the condition that no cells which have the signal quality difference larger than or equal to the preset number and are smaller than the preset threshold and meet the S criterion exist in the current area.
Based on any of the embodiments above, in an apparatus for selecting an optimal cell in an NB-IoT network overlapping coverage area, a score calculation submodule is specifically configured to: calculating a signal quality score for the candidate cell according to:
in the formula, SiIs the signal quality score of the candidate cell i, N is the number of candidate cells of the current region, QiIs the average signal strength ranking, T, of the candidate cell iiThe time length of the strongest signal of the candidate cell i is the ranking, a is the ranking weight of the average signal strength, and b is the time length of the strongest signal is the ranking weight.
based on any of the above embodiments, in an apparatus for selecting an optimal cell in an NB-IoT network overlapping coverage area, the selecting module 203 is specifically configured to: and taking the candidate cell corresponding to the maximum signal quality score as the optimal cell.
Fig. 3 is a schematic structural diagram of an NB-IoT network overlapping coverage area optimal cell selection device according to an embodiment of the present invention, and as shown in fig. 3, the device includes: a processor (processor)301, a communication interface (communication interface)302, a memory (memory)303 and a bus 304, wherein the processor 301, the communication interface 302 and the memory 303 complete communication with each other through the bus 304. Processor 301 may call logic instructions in memory 303 to perform methods including, for example: if the current area is judged and known to be the overlapping coverage area, scanning the current area to obtain the ratio of the average signal strength and the strongest signal time length of all candidate cells in the current area within the preset time length; acquiring a signal quality score of each candidate cell according to the ratio of the average signal strength of each candidate cell to the duration of the strongest signal; and according to the signal quality score of each candidate cell, selecting an optimal cell from all candidate cells and accessing the optimal cell.
An embodiment of the present invention discloses a computer program product, which includes a computer program stored on a non-transitory computer readable storage medium, where the computer program includes program instructions, and when the program instructions are executed by a computer, the computer can execute the method provided by the above method embodiments, for example, the method includes: if the current area is judged and known to be the overlapping coverage area, scanning the current area to obtain the ratio of the average signal strength and the strongest signal time length of all candidate cells in the current area within the preset time length; acquiring a signal quality score of each candidate cell according to the ratio of the average signal strength of each candidate cell to the duration of the strongest signal; and according to the signal quality score of each candidate cell, selecting an optimal cell from all candidate cells and accessing the optimal cell.
The present embodiments provide a non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the methods provided by the above method embodiments, for example, including: if the current area is judged and known to be the overlapping coverage area, scanning the current area to obtain the ratio of the average signal strength and the strongest signal time length of all candidate cells in the current area within the preset time length; acquiring a signal quality score of each candidate cell according to the ratio of the average signal strength of each candidate cell to the duration of the strongest signal; and according to the signal quality score of each candidate cell, selecting an optimal cell from all candidate cells and accessing the optimal cell.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
the above-described embodiments of the communication device and the like are merely illustrative, and units illustrated as separate components may or may not be physically separate, and components displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the embodiments of the present invention, and are not limited thereto; although embodiments of the present invention have been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. An NB-IoT network overlapping coverage area optimal cell selection method is characterized by comprising the following steps:
If the current area is judged and known to be an overlapping coverage area, scanning the current area to obtain the ratio of the average signal strength and the strongest signal time length of all candidate cells in the current area within a preset time length;
acquiring a signal quality score of each candidate cell according to the ratio of the average signal strength of each candidate cell to the duration of the strongest signal;
And according to the signal quality score of each candidate cell, selecting an optimal cell from all the candidate cells and accessing the optimal cell.
2. The method according to claim 1, wherein if it is determined that the current area is an overlapping coverage area, the method specifically includes:
And initially scanning the current area, if the current area has more than or equal to a preset number of cells which have signal quality differences smaller than a preset threshold and meet S criteria, taking the current area as an overlapping coverage area, and taking the cells which have the signal quality differences smaller than the preset threshold and meet the S criteria as candidate cells.
3. The method of claim 1, wherein the obtaining the signal quality score of each candidate cell according to the ratio of the average signal strength to the duration of the strongest signal of each candidate cell comprises:
for any candidate cell, sorting each candidate cell according to the average signal strength of each candidate cell to obtain the average signal strength ranking of any candidate cell;
Sequencing each candidate cell according to the strongest signal time length ratio of each candidate cell to obtain the strongest signal time length ratio ranking of any candidate cell;
and calculating the signal quality score of any candidate cell according to the average signal strength ranking of any candidate cell, the ratio ranking of the strongest signal time length and the number of candidate cells in the current region.
4. The method according to claim 2, wherein the scanning the current area, if there are more than or equal to a predetermined number of cells in the current area whose signal qualities differ by less than a predetermined threshold and satisfy an S criterion, regarding the current area as an overlapping coverage area, and regarding the cells whose signal qualities differ by less than the predetermined threshold and satisfy the S criterion as candidate cells, further comprises:
If the current area does not have more than or equal to a preset number of cells with signal quality differences smaller than a preset threshold and meeting S criteria, taking the cell with the highest signal strength in the current area and meeting the S criteria as an optimal cell and accessing the optimal cell.
5. The method according to claim 3, wherein the calculating the signal quality score of any candidate cell according to the average signal strength ranking, the ratio ranking of the strongest signal duration to the ranking of the strongest signal duration of any candidate cell, and the number of candidate cells in the current region comprises:
Calculating a signal quality score for the candidate cell according to:
In the formula, Siis the signal quality score of the candidate cell i, N is the number of candidate cells of the current region, QiIs the average signal strength ranking, T, of the candidate cell iiThe time length of the strongest signal of the candidate cell i is the ranking, a is the ranking weight of the average signal strength, and b is the time length of the strongest signal is the ranking weight.
6. The method according to claim 1, wherein the selecting an optimal cell from all the candidate cells according to the signal quality score of each candidate cell comprises:
And taking the candidate cell corresponding to the maximum signal quality score as the optimal cell.
7. An NB-IoT network overlapping coverage area optimal cell selection apparatus, comprising:
The scanning module is used for scanning the current area to acquire the ratio of the average signal strength and the strongest signal time length of all candidate cells in the current area within a preset time length if the current area is judged and known to be an overlapping coverage area;
A scoring module, configured to obtain a signal quality score of each candidate cell according to a ratio of an average signal strength of each candidate cell to a duration of a strongest signal;
And the selection module is used for selecting the optimal cell from all the candidate cells according to the signal quality score of each candidate cell and accessing the optimal cell.
8. the apparatus of claim 7, wherein the scoring module comprises:
The signal intensity sorting submodule is used for sorting each candidate cell according to the average signal intensity of each candidate cell for any candidate cell to obtain the average signal intensity ranking of any candidate cell;
The time length ratio sequencing submodule is used for sequencing each candidate cell according to the time length ratio sequence of the strongest signal of each candidate cell to obtain the time length ratio ranking of the strongest signal of any candidate cell;
and the score calculating submodule is used for calculating the signal quality score of any candidate cell according to the average signal strength ranking of any candidate cell, the ratio ranking of the duration of the strongest signal and the number of candidate cells in the current region.
9. an NB-IoT network overlapping coverage area optimal cell selection device, comprising a processor, a communication interface, a memory and a bus, wherein the processor, the communication interface, the memory communicate with each other via the bus, and the processor can call logic instructions in the memory to execute the NB-IoT network overlapping coverage area optimal cell selection method according to any one of claims 1 to 6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the NB-IoT network overlapping coverage area optimal cell selection method according to any of claims 1 to 6.
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