CN114363974A - Method, device and storage medium for constructing list of neighbor cells to be handed over - Google Patents

Abstract

The invention discloses a method, device and storage medium for constructing a list of neighbor cells to be handed over. The method includes: when entering a handover process, acquiring base station index information and the maximum number of iterations of a neighbor cell; and calculating the base station corresponding to the neighbor cell according to the base station index information. The upper confidence index of When the value and load value meet the preset handover conditions, the corresponding base station is used as the target handover base station, the corresponding benefit value and cost value are calculated, and the number of iterations is updated; when the number of iterations is greater than or equal to the maximum number of iterations, the last iteration corresponds to The neighbor cell list of , is used as the neighbor cell list to be handed over. The present invention uses the NCL configuration algorithm to construct a list of neighbor cells to be handed over to achieve the purpose of reducing signaling overhead and handover delay.

Description

Method, device and storage medium for constructing list of neighbor cells to be handed over

technical field

The present invention relates to the technical field of computer networks, in particular to a method, device and storage medium for constructing a list of neighbor cells to be handed over.

Background technique

With the development of wireless communication technology, the demand for network coverage around the world is increasing. Under the current 5G heterogeneous network architecture, macro base stations provide basic coverage requirements for terrestrial users, and small base stations provide targeted higher data rates. In the current mobile communication network, mobile air base stations are deployed, and drones are introduced as air base stations to provide more complete coverage for ground base stations. In order to enable mobile handover performance in highly dense wireless networks, NCL (neighboring cell) is added. list) configuration to meet the switching requirements. Although the current NCL configuration scheme can play a certain role in the current wireless network, when faced with a low-altitude heterogeneous network integrating UAV base stations, due to the dense deployment of UAV base stations, it is more difficult to predict static information statistics. The sensitivity of the radio propagation conditions in the real network to external interference cannot be captured, and the accuracy cannot be guaranteed.

It should be noted that the above content is only used to assist the understanding of the technical problem solved by the present invention, and does not mean that the above content is a related art.

SUMMARY OF THE INVENTION

By providing a method for constructing a list of neighbor cells to be handed over, the embodiment of the present application solves the problem that the performance of the base station cannot be accurately evaluated due to the dense deployment of UAV base stations in the prior art, and realizes the reduction of signaling overhead in the preparation stage of the handover process. The purpose of switching delay.

In order to achieve the above object, the present invention proposes a method for constructing a list of adjacent cells to be handed over, wherein the steps of the method for constructing a list of adjacent cells to be handed over include:

When entering the handover process, obtain the base station index information and the number of iterations of the neighbor cell;

Calculate, according to the base station index information, an upper confidence bound index of the base station corresponding to the neighbor cell;

adding the base stations whose confidence upper bound index is greater than a preset threshold to the base station list;

When the received signal strength value and load value corresponding to the base station in the base station list meet the preset handover conditions, the corresponding base station is used as the target handover base station, the corresponding benefit value and cost value are calculated, and the number of iterations is updated;

When the number of iterations is greater than or equal to the maximum number of iterations, the neighbor cell list corresponding to the last iteration is used as the neighbor cell list to be handed over.

Optionally, the step of calculating the upper confidence bound index of the base station corresponding to the neighbor cell according to the base station indicator information includes:

According to the indicator information, obtain the received signal strength value, average load value and state confidence upper bound index of the base station in the neighbor cell;

According to the received signal strength value, the average load value and the state confidence upper bound index, the confidence upper bound index corresponding to the base station in the neighbor cell is calculated.

Optionally, the step of acquiring the received signal strength value, average load value and state confidence upper bound index of the base station in the neighbor cell according to the indicator information includes:

According to the indicator information, obtain the transmission power and path loss value corresponding to the base station in the neighbor cell;

Calculate the received signal strength value of the base station in the neighbor cell according to the transmission power and path loss value;

According to the load value of the base station in the neighbor cell, use the limit formula to calculate the average load value of the base station in the neighbor cell;

According to the selected times of the base station in the neighbor cell, the upper bound index of the state confidence of the base station in the neighbor cell is obtained by square root calculation.

Optionally, the step of acquiring the transmission power and path loss value corresponding to the base station in the neighbor cell according to the indicator information includes:

According to the indicator information, obtain the transmission power, carrier frequency, horizontal distance, height and mean value corresponding to the neighbor cell base station;

According to the carrier frequency, the horizontal distance, the height and the mean value, the path loss value corresponding to the base station in the neighbor cell is calculated.

Optionally, when the received signal strength value and load value corresponding to the base station in the base station list meet the preset handover condition, the corresponding base station is used as the target handover base station, the corresponding benefit value and cost value are calculated, and the iteration is updated. The number of steps include:

According to the base station list and the preset relationship, the cost value corresponding to this iteration is obtained;

According to the cost value, the received signal strength value and the load value, the revenue value of the target base station is calculated, and the number of iterations is updated.

Optionally, when the received signal strength value and load value corresponding to the base station in the base station list meet the preset handover condition, the corresponding base station is used as the target handover base station, the corresponding benefit value and cost value are calculated, and the iteration is updated. number of times before the steps, also include:

Traverse the base station list, and obtain the received signal strength value and load value corresponding to the base station in the base station list;

It is judged whether the received signal strength value and the load value satisfy a preset switching condition, wherein the preset switching condition refers to the received signal strength value and the load value.

Optionally, after the step of adding the base stations whose confidence upper bound index is greater than a preset threshold to the base station list, the method further includes:

The base stations in the base station list are sorted in descending order using the upper confidence bound index.

Optionally, after the step of using the neighbor cell list corresponding to the last iteration as the neighbor cell list to be switched when the iteration number is greater than or equal to the maximum iteration number, the method further includes:

Execute the handover process according to the base station corresponding to the last iteration;

Obtain the revenue value and cost value corresponding to the last iteration, and store them in the mobility entity management.

In addition, in order to achieve the above object, the present invention also provides a device for constructing a list of neighbor cells to be handed over. The adjacent cell list construction program to be handed over runs on the processor, and when the adjacent cell list construction program to be handed over is executed by the processor, the steps of the above-mentioned method for constructing the adjacent cell list to be handed over are implemented.

In addition, in order to achieve the above object, the present invention also provides a computer-readable storage medium on which a program for constructing a list of neighbor cells to be handed over is stored, and when the program for constructing a list of neighbor cells to be handed over is executed by a processor The steps of implementing the method for constructing the list of neighbor cells to be handed over as described above are implemented.

The invention discloses a method, device and computer storage medium for constructing a list of neighbor cells to be handed over. The method includes: when entering a handover process, acquiring base station index information and maximum iteration times of neighboring cells; calculating the base station index information according to the base station index information. The confidence upper bound index of the base station corresponding to the neighbor cell; the base station whose confidence upper bound index is greater than the preset threshold is added to the base station list; when the received signal strength value and load value corresponding to the base station in the base station list meet the preset switching conditions When the number of iterations is greater than or equal to the maximum number of iterations, the neighbor cell list corresponding to the last iteration as the list of neighbor cells to be handed over. The present invention obtains the base station index information and the maximum number of iterations of the neighbor cell when the handover is triggered and enters the handover process, and calculates the confidence upper bound index corresponding to the base station in the neighbor cell according to the obtained base station index information. Whether the upper confidence index of the neighbor cell is within the range of the preset threshold, if the base station of the neighbor cell is within the preset threshold, put the base station of the neighbor cell into the candidate base station list, and then obtain the corresponding base station in the base station list. The received signal strength value and load value are compared with the received signal strength value and load value in the handover condition. If the received signal strength value and load value corresponding to each base station in the base station list meet the received signal strength value and the load value in the handover condition Load value, take the corresponding base station as the target handover base station, calculate the revenue value and cost value corresponding to this iteration, and update the number of iterations, calculate the revenue value and cost value for each iteration, and execute it in a loop until the number of iterations is greater than Or when it is equal to the maximum number of iterations, the neighbor cell list corresponding to the last iteration is used as the list of neighbor cells to be handed over. At this time, the list of neighbor cells to be handed over is the optimal list of neighbor cells to be handed over, so as to reduce the preparation stage of the handover process. Signaling overhead and handover delay purpose.

Description of drawings

1 is a schematic diagram of a device structure of a hardware operating environment involved in an embodiment of the present invention;

2 is a schematic flowchart of a first embodiment of a method for constructing a list of neighbor cells to be handed over according to the present invention;

FIG. 3 is a schematic flow chart of refinement of step S200 in the second embodiment of the method for constructing a list of neighbor cells to be handed over according to the present invention;

FIG. 4 is a schematic flow chart of refinement of step S210 in the second embodiment of the method for constructing a list of neighbor cells to be handed over according to the present invention;

FIG. 5 is a schematic flow chart of refinement of step S400 in the third embodiment of the method for constructing a list of neighbor cells to be handed over according to the present invention;

FIG. 6 is a flowchart of a neighbor cell list configuration algorithm based on cost-aware cascading Bandits.

The realization, functional characteristics and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments.

Detailed ways

It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

The main technical problem solved by the present invention is that due to the dense deployment of UAV base stations, the statistical prediction of static information is difficult, and the sensitivity of the radio propagation conditions in the real network to external interference cannot be captured, so that the optimal handover base station cannot be accurately obtained. , the technical means used to solve this technical problem is to optimize the NCL by using the NCL configuration algorithm of reinforcement learning to achieve the purpose of accurately obtaining the handover target base station, mainly by triggering the handover and entering the handover process. Base station index information and the maximum number of iterations, according to the obtained base station index information, calculate the upper confidence bound index corresponding to the base station in the neighbor cell, by judging whether the confidence upper bound index of the base station is within the range of the preset threshold, if it is in the neighbor cell In the preset threshold, the base station of the neighbor cell is put into the candidate base station list, and then the received signal strength value and load value corresponding to each base station in the base station list are obtained, and the received signal strength value in the handover condition is the same as The load value is compared. If the received signal strength value and load value corresponding to each base station in the base station list meet the handover conditions, the corresponding base station will be used as the target handover base station, and the income value and cost value corresponding to this iteration will be calculated and updated. The number of iterations, the revenue value and cost value of the iteration are calculated for each iteration, and the cycle is executed until the number of iterations is greater than or equal to the maximum number of iterations, and the neighbor cell list corresponding to the last iteration is used as the neighbor to be switched. The cell list, the list of neighbor cells to be handed over at this time is the optimal list of neighbor cells to be handed over, so as to reduce the signaling overhead and the handover delay in the preparation stage of the handover process.

For better understanding of the above technical solutions, exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present disclosure will be more thoroughly understood, and will fully convey the scope of the present disclosure to those skilled in the art.

In order to better understand the above technical solutions, the above technical solutions will be described in detail below with reference to the accompanying drawings and specific embodiments.

As shown in FIG. 1 , FIG. 1 is a schematic structural diagram of a terminal device of a hardware operating environment involved in the solution of an embodiment of the present application.

As shown in FIG. 1 , the terminal device may include: a processor 1001 , such as a CPU, a network interface 1004 , a user interface 1003 , a memory 1005 , and a communication bus 1002 . Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. Optionally, the network interface 1004 may include a standard wired interface and a wireless interface (eg, a WI-FI interface). The memory 1005 may be high-speed RAM memory, or may be non-volatile memory, such as disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001 .

Those skilled in the art can understand that the structure of the terminal device shown in FIG. 1 does not constitute a limitation on the terminal device, and may include more or less components than those shown in the figure, or combine some components, or arrange different components.

As shown in FIG. 1 , the memory 1005 , which is a computer-readable storage medium, may include a program for constructing a list of neighbor cells to be handed over.

In the terminal device shown in FIG. 1 , the network interface 1004 is mainly used for data communication with the background server; the user interface 1003 is mainly used for data communication with the client (client); the processor 1001 can be used to call the memory 1005 The neighbor cell list construction procedure to be handed over does the following:

When entering the handover process, obtain the base station index information and the maximum number of iterations of the neighbor cell;

Calculate, according to the base station index information, an upper confidence bound index of the base station corresponding to the neighbor cell;

adding the base stations whose confidence upper bound index is greater than a preset threshold to the base station list;

When the received signal strength value and load value corresponding to the base station in the base station list meet the preset handover conditions, the corresponding base station is used as the target handover base station, the corresponding benefit value and cost value are calculated, and the number of iterations is updated;

When the number of iterations is greater than or equal to the maximum number of iterations, the neighbor cell list corresponding to the last iteration is used as the neighbor cell list to be handed over.

The present application provides a method for constructing a list of neighbor cells to be handed over. It should be noted that although a logical sequence is shown in the flowchart, in some cases, the sequence shown or the sequence shown here may be performed in a different order. described steps.

Referring to FIG. 2 , FIG. 2 is a schematic flowchart of a first embodiment of a method for constructing a list of neighbor cells to be handed over according to the present application.

The method for constructing the list of neighbor cells to be handed over in this embodiment includes the following steps:

Step S100, when entering the handover process, obtain the base station index information and the maximum number of iterations of the neighbor cell;

Step S200, calculating, according to the base station index information, an upper confidence bound index of the base station corresponding to the neighbor cell;

Step S300, adding the base stations whose confidence upper bound index is greater than a preset threshold to the base station list;

Step S400, when the received signal strength value and load value corresponding to the base station in the base station list meet the preset handover condition, take the corresponding base station as the target handover base station, calculate the corresponding benefit value and cost value, and update the number of iterations;

Step S500, when the number of iterations is greater than or equal to the maximum number of iterations, the list of neighbor cells corresponding to the last iteration is used as the list of neighbor cells to be handed over.

In this embodiment, the method for constructing the list of neighbor cells to be handed over is mainly used in the low-altitude heterogeneous network under the cellular network. However, when the UAV base station is introduced, due to the highly dense deployment of other types of base stations, the user is handed over on the move. In the process of the base station, there will be reasons such as handover failure, so the method of constructing the list of neighbor cells to be handed over is introduced. In the mobile handover protocol, the inter-frequency channel quality of the candidate base station is measured by the UE (mobile user equipment) and reported to the serving base station. Communication between base stations is possible, and the serving base station calculates an NCL (Neighbor Cell List) composed of a group of specific candidate base stations and pushes it to the UE that triggers the handover.

In the construction method of the neighbor cell list to be handed over, a configuration algorithm based on CCB-NCL (cost-aware cascaded Bandits neighbor cell list) is proposed. Referring to Figure 6, Figure 6 is a flow chart of the configuration algorithm of CCB-NCL. Including the initialization phase and the iteration phase. In the initialization phase of the learning process, the UE moves to a specific location within the edge of the coverage area of the serving base station and triggers handover. After finding the target base station and completing the handover, these measured values and other indicators will be reported and stored in the MME (Mobility Management Entity), in the iterative phase, the MME first calculates the UCB index (upper confidence bound index) of the corresponding base station, and after arranging the base stations, obtains the arranged result for the UE to scan. The MME iteratively updates according to the reported indicators, calculates the reward value, and repeats the learning process continuously.

The following is a specific implementation process of the method for constructing the list of neighbor cells to be handed over:

In this embodiment, when the UE device moves within the coverage of the serving base station, it will continuously monitor the channel quality, send a measurement report to the serving base station, and trigger a handover instruction. When the serving base station receives the handover instruction sent by the UE, It enters the handover process, and obtains the base station index information of the serving base station's neighbor cells and the number of iterations of learning. The purpose of obtaining the base station index information of the neighbor cell is to calculate the UCB index of the neighbor cell base station, which is convenient for calculating the candidate base station list later. The number of iterations is obtained to know the number of iterations. The method for constructing the list of neighbor cells to be handed over is to obtain the optimal neighbor cell list after N iterations. The maximum number of iterations is the value that has been entered into the learning model before the learning starts. The UCB index corresponding to the corresponding base station can be calculated by obtaining the base station index information of the neighbor cell. The serving base station refers to the base station that currently provides services to the UE, that is, the base station that the UE is currently connected to.

The serving base station calculates the UCB index of the base station corresponding to the neighbor cell according to the obtained base station index information, and selects the NCL list composed of candidate base stations according to the calculated UCB index. Whether it can be successfully handed over to the target base station, that is, the base station optimally configured with the UE, the current serving base station calculates the NCL composed of candidate base stations for the UE for the UE to scan, finds the base station that meets the handover conditions, and successfully completes the base station switch.

After the serving base station calculates the upper confidence bound index for the base station in the neighbor cell, it compares the calculated upper confidence bound index with the preset threshold. If the UCB index calculated by the current base station is greater than the preset threshold, the current The matching base stations are added to the list of candidate base stations. If the UCB index calculated by the current base station is less than or equal to the preset threshold, another base station is changed, and the calculation is performed again until all matching base stations are added to the list of candidate base stations. After all eligible base stations are put into the candidate base station list, the candidate base station list needs to be sorted. The preset threshold can be set randomly, and the custom value is set to 20 here.

In a further embodiment, after step S300, the method further includes: arranging the base stations in the base station list in descending order by using a confidence upper bound index.

This embodiment is based on the above-mentioned embodiment, traverses the base stations of the neighbor cells, calculates the UCB index every time a base station is traversed, and adds the base station corresponding to the matching UCB index to the list of candidate base stations, and traverses all the base stations of the neighbor cells all the time. , get the final list of candidate base stations, and sort the list of candidate base stations according to the size of the UCB index. There are two sorting methods, which can be ascending or descending. The index starts from the maximum. When the subsequent UE selects the optimal base station, the higher the UCB index is, the higher the probability of the UE handover is successful, and the scanning time is relatively short. Here, the base stations of neighboring cells include unmanned base stations and terrestrial macro base stations. and so on, after the candidate base stations are sorted, it is judged whether the base stations in the candidate base station list meet the handover condition.

Obtain the list of candidate base stations and traverse the list of base stations. Each time a base station is traversed, obtain the received signal strength value and load value corresponding to the base station, and compare with the received signal strength value and load value in the preset switching conditions. If the base station corresponds to The received signal strength value is greater than or equal to the received signal strength value in the preset condition and the load value is less than or equal to the load value in the switching condition, calculate the revenue value and cost value of the current iteration, and update the number of iterations, if the received signal corresponding to the base station is If the strength value is less than the received signal strength value in the preset condition and the load value is greater than the load value in the handover condition, the traversal is continued without calculating the income value and the load value. The calculation of the income value and the cost value is to evaluate the quality of the neighbor cell list. The higher the benefit value, the lower the cost value, indicating that the list of neighboring cells is better, and vice versa. After updating the number of iterations, it is necessary to judge whether the number of iterations is greater than the total number of iterations, and then it can be determined whether the learning can be completed or not. Obtain the best neighbor cell list.

When the number of iterations is greater than or equal to the maximum number of iterations, the neighbor cell list corresponding to the last iteration is used as the list of neighbor cells to be handed over. If the number of iterations is less than the maximum number of iterations, it means that the number of learning iterations has not reached the last time, or The optimal neighbor cell list has not yet been selected, and it is necessary to continue learning. The learning process is repeated and repeated until the number of iterations is greater than or equal to the maximum number of iterations, and then the learning is stopped.

The present application discloses a method, device, and computer storage medium for constructing a list of neighbor cells to be handed over. The method includes: when entering a handover process, acquiring base station index information and the maximum number of iterations of neighboring cells; and calculating the base station index information according to the base station index information. The confidence upper bound index of the base station corresponding to the neighbor cell; the base station whose confidence upper bound index is greater than the preset threshold is added to the base station list; when the received signal strength value and load value corresponding to the base station in the base station list meet the preset switching conditions When the number of iterations is greater than or equal to the maximum number of iterations, the neighbor cell list corresponding to the last iteration is used as the to-be-handover Neighbor cell list. The present invention obtains the base station index information and the maximum number of iterations of the neighbor cell when the handover is triggered and enters the handover process, and calculates the confidence upper bound index corresponding to the base station in the neighbor cell according to the obtained base station index information. Whether the upper confidence index of the neighbor cell is within the range of the preset threshold, if the base station of the neighbor cell is within the preset threshold, put the base station of the neighbor cell into the candidate base station list, and then obtain the corresponding base station in the base station list. The received signal strength value and load value are compared with the received signal strength value and load value in the handover condition. If the received signal strength value and load value corresponding to each base station in the base station list meet the received signal strength value and the load value in the handover condition If the load value is required, the revenue value and cost value of this iteration are calculated, and the number of iterations is updated. The revenue value and cost value are calculated for each iteration, and the cycle is executed until the number of iterations is greater than or equal to the maximum number of iterations. The neighbor cell list corresponding to the last iteration is taken as the list of neighbor cells to be handed over. At this time, the list of neighbor cells to be handed over is the optimal neighbor cell list to be handed over, so as to reduce the signaling overhead and handover delay in the preparation stage of the handover process. .

Further, referring to FIG. 3 , based on the above-mentioned first embodiment, a second example of the method for constructing the list of neighbor cells to be handed over in the present application is proposed.

Step S200 includes:

Step S210, according to the indicator information, obtain the received signal strength value, average load value and state confidence upper bound index of the base station in the neighbor cell;

Step S220: Calculate the upper confidence bound index corresponding to the base station in the neighbor cell according to the received signal strength value, the average load value and the state upper bound confidence index.

In this embodiment, when the serving base station of the UE obtains the base station index information of the neighbor cell, it calculates the received signal strength value and load value of the base station of the neighbor cell and the state confidence upper bound index according to the base station index information, so as to calculate the base station Corresponding confidence upper bound index value. The confidence upper bound index value is the most important value in the mobile handover process, and is an index for selecting the optimal handover base station for the UE. The base station index information obtained by the serving base station only includes the transmission of different base stations. Power, carrier frequency, horizontal distance, height and mean value, so it is necessary to calculate the received signal strength value, load value and state confidence upper bound index value based on these values.

In a further embodiment, referring to FIG. 4 , step S210 includes:

Step S211, according to the indicator information, obtain the transmission power and path loss value corresponding to the base station in the neighbor cell;

Step S212, calculating the received signal strength value of the base station in the neighbor cell according to the transmission power and the path loss value;

Step S213, according to the load value of the base station in the neighbor cell, using a limit formula to calculate the average load value of the base station in the neighbor cell;

Step S214: According to the selected times of the base stations in the neighbor cell, square root calculation is performed to obtain a state confidence upper bound index of the base station in the neighbor cell.

This embodiment is based on the above-mentioned embodiment. The transmission power and path loss value of the base station in the base station index information of the neighbor cell are obtained. The transmission power of different base stations is different, and the path loss value is also different. The value needs to be calculated. According to the difference between the path loss value and the transmission power, the received signal strength value of the base station is obtained. The average load value of the base station is calculated according to the load value of the base station, and the algorithm for calculating the limit value is used. To obtain the average load value, to calculate the state confidence upper bound index value, it is necessary to know the number of times the base station is selected. For example, if the number of times a base station is selected is 6, then the number of times of selection of this base station is 6, and a constant variable needs to be obtained. The value of this constant variable is a constant not less than 1.5. After the square root, the upper bound index of the state confidence of the base station is calculated. When calculating the received signal strength value, the path loss value needs to be calculated by the serving base station.

In a further embodiment, step S211 includes:

According to the indicator information, obtain the transmission power, carrier frequency, horizontal distance, height and mean value corresponding to the neighbor cell base station;

According to the carrier frequency, the horizontal distance, the height and the mean value, the path loss value corresponding to the base station in the neighbor cell is calculated.

This embodiment is based on the above-mentioned embodiment. The carrier frequency, horizontal distance, height, and mean value in the base station index information are obtained to calculate the path loss value of the base station. The transmission power can be obtained directly without the need for calculation, such as: electric fan The power of the UAV is 150 watts, which are set in advance, and the parameters are set before the product is developed. The horizontal distance refers to the horizontal distance between the UAV base station and the UE device, and the height refers to the location of the UAV base station. That is, the height from the ground, the mean value refers to the mean value of the multi-path loss, and the path loss value of the base station is calculated by combining these four data.

In this embodiment, after obtaining the base station index information of the base station of the neighbor cell, it is necessary to calculate the value of the confidence upper bound index corresponding to the base station, that is, the UCB index, and select a list of candidate base stations according to the UCB index for the UE to scan, thereby The optimally configured base station can be selected.

Further, referring to FIG. 5 , based on any one of the first embodiment and the second embodiment above, a third embodiment of the method for constructing a list of neighbor cells to be handed over according to the present application is proposed.

Step 400 includes:

Step S410, obtaining the cost value corresponding to this iteration according to the base station list and the preset relationship;

Step S420, according to the cost value, the received signal strength value and the load value, calculate the income value of the iteration, and update the number of iterations.

In this embodiment, the base stations corresponding to the qualified upper confidence bound index values are added to the candidate base station list according to the confidence upper bound index value, and according to the received signal strength value and load value corresponding to the base station in the candidate base station list, the switching conditions are satisfied. When the received signal strength value and load value are required, start to calculate the income value and cost value of this iteration. The calculated cost value is the cost value obtained according to the candidate base station list and the preset relationship. The preset relationship refers to the base station list and the cost value. In addition to calculating the cost value, it is also necessary to calculate the income value, that is, the reward value. Both the cost value and the reward value are used to evaluate the pros and cons of the neighbor cell list. The better the list, the better the cost value is to measure the signaling overhead and delay consumed by the base station, and the reward value is to measure the performance data of various indicators of the base station. Whether the received signal strength value and the load value meet the preset switching conditions.

In a further embodiment, before step S400, it also includes:

Traverse the base station list, and obtain the received signal strength value and load value corresponding to the base station in the base station list;

It is judged whether the received signal strength value and the load value satisfy a preset switching condition, wherein the preset switching condition refers to the received signal strength value and the load value.

This embodiment is based on the above-mentioned embodiment, traverses the received signal strength value and load value of the base stations in the candidate base station list, compares each base station traversed, and checks the received signal strength value and load value corresponding to the traversed base station Whether it is in the switching condition, if it is in the preset condition, calculate the benefit value and cost value of this iteration.

In this embodiment, to calculate the income value, it is necessary to judge whether the received signal strength value and load value corresponding to the base stations in the candidate base station list meet the requirements of the received signal strength value and load value of the handover condition, and directly calculate the received signal strength value in the candidate base station list. and load value, which can save the time of selecting the optimally configured base station to a certain extent.

In addition, the embodiments of the present invention also provide a computer-readable storage medium. The computer-readable storage medium stores a neighbor cell list construction program to be switched, and when the to-be-switched neighbor cell list construction program is executed by the processor, implements the steps of the method for constructing a neighbor cell list to be switched in any of the above-mentioned embodiments .

The specific implementation manner of the computer-readable storage medium of the present invention is basically the same as the above-mentioned embodiments of the method for constructing the neighbor cell list to be handed over, and details are not described herein again.

From the description of the above embodiments, those skilled in the art can clearly understand that the method of the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is better implementation. Based on such understanding, the technical solutions of the present invention can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products are stored in a storage medium (such as ROM/RAM) as described above. , magnetic disk, optical disc), including several instructions to make a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in the various embodiments of the present invention.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block in the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

It should be noted that, in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not preclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several different components and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, and third, etc. do not denote any order. These words can be interpreted as names.

Although preferred embodiments of the present invention have been described, additional changes and modifications to these embodiments may occur to those skilled in the art once the basic inventive concepts are known. Therefore, the appended claims are intended to be construed to include the preferred embodiment and all changes and modifications that fall within the scope of the present invention.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit and scope of the invention. Thus, provided that these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims (10)

1. A method for constructing a to-be-switched neighbor cell list is characterized by comprising the following steps:

when entering a switching process, acquiring the base station index information and the maximum iteration times of a neighbor cell;

calculating a confidence upper bound index of a base station corresponding to the neighbor cell according to the base station index information;

adding the base stations with the confidence upper bound index larger than a preset threshold value into a base station list;

when the received signal strength value and the load value corresponding to the base station in the base station list meet a preset switching condition, taking the corresponding base station as a target switching base station, calculating a profit value and a cost value corresponding to the iteration, and updating the iteration times and the estimated value of the base station performance;

and when the iteration times are more than or equal to the maximum iteration times, taking the neighbor cell list corresponding to the last iteration as a neighbor cell list to be switched.

2. The method for constructing the neighbor cell list to be switched according to claim 1, wherein the step of calculating the confidence upper bound index of the base station corresponding to the neighbor cell according to the base station index information comprises:

acquiring a received signal strength value, an average load value and a state confidence upper bound index of a base station in the neighbor cell according to the index information;

and calculating a confidence upper bound index corresponding to the base station in the neighbor cell according to the received signal strength value, the average load value and the state confidence upper bound index.

3. The method for constructing the neighbor cell list to be switched according to claim 2, wherein the step of obtaining the received signal strength value, the average load value and the state confidence upper bound index of the base station in the neighbor cell according to the index information comprises:

acquiring transmission power and a path loss value corresponding to a base station in the neighbor cell according to the index information;

calculating the received signal strength value of the base station in the neighbor cell according to the transmission power and the path loss value;

calculating to obtain an average load value of the base station in the neighbor cell by adopting a limit formula according to the load value of the base station in the neighbor cell;

and according to the selected times of the base stations in the neighbor cells, performing evolution calculation to obtain the state confidence upper bound index of the base stations in the neighbor cells.

4. The method for constructing the neighbor cell list to be switched according to claim 3, wherein the step of obtaining the transmission power and the path loss value corresponding to the base station in the neighbor cell according to the index information comprises:

acquiring transmission power, carrier frequency, horizontal distance, height and mean value corresponding to the neighbor cell base station according to the index information;

and calculating the corresponding path loss value of the base station in the neighbor cell according to the carrier frequency, the horizontal distance, the height and the average value.

5. The method for constructing the neighbor cell list to be switched according to claim 2, wherein the step of taking the corresponding base station as a target switching base station, calculating the corresponding profit value and cost value, and updating the iteration number when the received signal strength value and the load value corresponding to the base station in the base station list satisfy the preset switching condition comprises:

obtaining a cost value corresponding to the iteration according to the base station list and a preset relation;

and calculating the profit value of the iteration according to the cost value, the received signal strength value and the load value, and updating the iteration times.

6. The method for constructing the neighbor cell list to be switched according to claim 1, wherein before the steps of taking the corresponding base station as a target base station for switching, calculating an income value and a cost value corresponding to the iteration, and updating the iteration number and the estimated value of the base station performance, when the received signal strength value and the load value corresponding to the base station in the base station list satisfy the preset switching condition, the method further comprises:

traversing the base station list to obtain a received signal strength value and a load value corresponding to the base stations in the base station list;

and judging whether the received signal strength value and the load value meet preset switching conditions, wherein the preset switching conditions refer to the received signal strength value and the load value.

7. The method for constructing the neighbor cell list to be handed over according to claim 1, wherein after the step of adding the base station with the confidence upper bound index larger than the preset threshold to the base station list, the method further comprises: and arranging the base stations in the base station list in a descending order by using a confidence upper bound index.

8. The method for constructing a to-be-switched neighbor cell list according to claim 1, wherein after the step of using the neighbor cell list corresponding to the last iteration as the to-be-switched neighbor cell list when the iteration number is greater than or equal to the maximum iteration number, the method further comprises:

executing a switching process according to the base station corresponding to the last iteration;

and acquiring a profit value and a cost value corresponding to the last iteration, and storing the profit value and the cost value into the mobility entity management.

9. A to-be-switched neighbor cell list construction device is characterized by comprising: memory, processor and to-be-switched neighbour cell list construction program stored on said memory and executable on said processor, which when executed by said processor implements the steps of the to-be-switched neighbour cell list construction method according to any of claims 1 to 8.

10. A storage medium having stored thereon a to-be-switched neighbor cell list construction program which, when executed by a processor, implements the steps of the to-be-switched neighbor cell list construction method according to any one of claims 1 to 8.

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