CN115175380A

CN115175380A - Intelligent control method and device for 5G small cell and 5G small cell

Info

Publication number: CN115175380A
Application number: CN202210730949.1A
Authority: CN
Inventors: 蒋毅; 林广远; 杨心玥
Original assignee: Super Communications Co ltd
Current assignee: Super Communications Co ltd
Priority date: 2022-06-24
Filing date: 2022-06-24
Publication date: 2022-10-11
Anticipated expiration: 2042-06-24
Also published as: CN115175380B

Abstract

The application discloses a 5G small base station intelligent control method, a device and a 5G small base station, wherein the method comprises the following steps: acquiring time distribution of data communication of adjacent cells of a local small base station based on historical data, adjacent cell information, network signal data characteristics of the local small base station in corresponding time distribution, user service types of data communication of a user terminal through the local small base station, and communication quality data characteristics; judging the interference degree, the distribution time period, the association relation and the interference type of the interference generated by the data communication of the adjacent cell to the user service of the local small base station; according to a preset anti-interference strategy, working parameters of the local small base station for carrying out data communication for the user terminal are adjusted to meet communication requirements of user services, so that the 5G small base station can flexibly adjust working states according to service conditions and interference conditions, power consumption and manual maintenance cost are reduced as far as possible under the condition that the communication requirements are met, and energy conservation and environmental protection are achieved.

Description

Intelligent control method and device for 5G small base station and 5G small base station

Technical Field

The application relates to the technical field of mobile communication, in particular to a 5G small cell intelligent control method and device and a 5G small cell.

Background

The Small Cell (Small Cell) refers to a base station type which is much smaller than a traditional macro base station in terms of product form, transmitting power, coverage range and the like. From the perspective of transmit power, typical transmit power is between 100mW and 5W; from a weight point of view, a common weight is between 2 and 10 kg; from the networking mode, the backhaul of various technologies including DSL/optical fiber/WLAN and cellular technologies is supported; and the method also has SON functions of automatic neighbor discovery, self-configuration and the like. Compared with macro base stations, the small base station can effectively improve the coverage depth, increase the network capacity and improve the user perception, so that the small base station is more and more concerned by the industry.

At present, when a 5G small base station works, a mode of a general high CPU server and an FPGA accelerator card is generally adopted, the power consumption is large, and the basic energy can reach about 100 watts. Based on this, in the prior art, in different scenes, the small base station always works in the same working state, for example, the same transmission power, scheduling period and the like are adopted in different scenes, so that system resources cannot be flexibly and reasonably allocated according to the scenes, and unnecessary power consumption waste can be caused; meanwhile, the 5G small base station has high operation technology complexity, complex manual maintenance and high maintenance cost.

Disclosure of Invention

In view of this, it is necessary to provide a method and an apparatus for intelligently controlling a 5G small cell and a 5G small cell, so as to solve the technical problems of high power consumption and high manual maintenance cost when the 5G small cell operates in the prior art.

In order to achieve the above object, embodiments of the present application provide a method and an apparatus for intelligently controlling a 5G small cell base station, and a 5G small cell base station.

The application provides a 5G small base station intelligent control method, which comprises the following steps:

acquiring a first time distribution of data communication of the neighbor cells of the local small base station based on historical data, neighbor cell information and network signal data characteristics of the local small base station in the corresponding time distribution, establishing a first characteristic set,

wherein, the elements of the first feature set are ordered groups composed of a first time distribution period, neighbor information in the first time distribution period and network signal data;

acquiring a second time distribution of user services for data communication of the user terminal based on historical data through the local small base station, a user service type and communication quality data characteristics of the user services in the corresponding time distribution, establishing a second characteristic set,

wherein, the elements of the second feature set are ordered groups consisting of a second time distribution period, user service types and communication quality data in the second time distribution period;

selecting the overlapping time distribution time interval of the first time distribution and the second time distribution as a third time distribution time interval, establishing a third characteristic set,

wherein, the elements of the third feature set are ordered groups composed of a third time distribution period, neighboring cell information in the third time distribution period, network signal data, user service type and communication quality data;

according to a mapping relation among a third time distribution time period, adjacent cell information, network signal data, a user service type and communication quality data in the third feature set, judging an interference degree, a distribution time period, an association relation and an interference type of interference generated by data communication carried out by the adjacent cell on a user service of a local small base station;

and adjusting working parameters of the local small base station for carrying out data communication for the user terminal according to a preset anti-interference strategy based on the interference degree, the distribution time period, the association relation and the interference type of the interference generated by the data communication carried out in the adjacent cell on the user service of the local small base station so as to meet the communication requirement of the user service.

Further, a BP neural network algorithm is used for optimizing the process of judging the interference degree, the distribution time period, the incidence relation and the interference type of the data communication carried out on the adjacent cell to the user service of the local small base station.

Further, according to a preset anti-interference strategy, adjusting a working parameter of a local small base station for data communication of the user terminal so as to meet a communication requirement of a user service, specifically comprising:

and when the network signal data characteristics and/or the communication quality data characteristics are inferior to the communication requirements of the user services, adjusting the working parameters of the local small base station for carrying out data communication for the user terminal so as to achieve the aim of improving the communication quality of the user services, wherein the working parameters comprise at least one of transmitting power, pilot frequency power, a transmitting antenna and a transmission time slot.

Further, a BP neural network algorithm is used for optimizing the process of adjusting the working parameters of the local small base station for carrying out data communication for the user terminal so as to achieve the purpose of improving the communication quality of the user service.

Further, according to a preset anti-interference strategy, adjusting a working parameter of the local small base station for performing data communication for the user terminal to meet a communication requirement of a user service, further comprising:

when the network signal data characteristic and/or the communication quality data characteristic reach or exceed the communication requirement of the user service, adjusting the working parameters of the local small base station for carrying out data communication for the user terminal so as to fulfill the aim of adjusting the power consumption of the small base station while meeting the communication requirement of the user service, wherein the working parameters comprise at least one of transmitting power, pilot power, a transmitting antenna and transmission time slots.

Furthermore, a BP neural network algorithm is used for optimizing the process of adjusting the working parameters of the local small base station for carrying out data communication for the user terminal so as to achieve the purpose of reducing the power consumption of the small base station while meeting the communication requirement of user services.

The application also provides a 5G small cell intelligent control method, which comprises the following steps:

when request information of a terminal user is received, acquiring neighbor information, network signal data and user service data in the request information;

acquiring current resource data of a local small base station, wherein the resource data comprises wireless resources, software resources, hardware resources, operating resources and an operating state;

and configuring resource parameters for the terminal user according to the adjacent cell information, the network signal data, the user service data and the resource data, wherein the resource parameters comprise wireless resource parameters, and the wireless resource parameters comprise one or more of RB, frequency band, service quality and wireless power.

The application also provides a 5G little basic station intelligent control device, includes:

an acquisition module for acquiring a first time distribution of data communication of the neighboring cell of the local small base station based on the historical data, neighboring cell information and network signal data characteristics of the local small base station in the corresponding time distribution,

the user terminal based on the historical data carries out second time distribution of user services of data communication through the local small base station, user service types and communication quality data characteristics of the user services in the corresponding time distribution;

an analysis module, configured to establish a first feature set, where an element of the first feature set is an ordered group consisting of a first time distribution period, neighbor information in the first time distribution period, and network signal data,

and is further configured to establish a second feature set, wherein elements of the second feature set are ordered groups consisting of a second time distribution period, user traffic types and communication quality data within the second time distribution period,

and is further configured to establish a third feature set, select an overlapping time distribution period of the first time distribution and the second time distribution as a third time distribution period,

the data communication module is further configured to determine, according to a mapping relationship among a third time distribution period, neighboring cell information, network signal data, a user service type, and communication quality data in the third feature set, an interference degree, a distribution period, an association relationship, and an interference type, where data communication performed by the neighboring cell interferes with a user service of a local small base station;

and the adjusting module is used for adjusting working parameters of the local small base station for carrying out data communication for the user terminal according to a preset anti-interference strategy based on the interference degree, the distribution time period, the association relation and the interference type of the interference generated by the data communication carried out by the adjacent cell to the user service of the local small base station so as to meet the communication requirement of the user service.

The application also provides a 5G small cell base station, which comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor is enabled to realize the steps of any one of the intelligent control methods of the 5G small cell base station.

The present application further provides a computer-readable storage medium, in which computer-executable instructions are stored, and when executed by a processor, the instructions implement the steps of any one of the foregoing 5G small cell intelligent control methods.

Compared with the prior art, the intelligent control method for the 5G small cell base station, which is provided by the embodiment of the application, judges the interference degree, the distribution time period, the association relation and the interference type of the data communication performed by the adjacent cell to the user service of the local small cell base station according to the time distribution time period and the adjacent cell information of the data communication performed by the adjacent cell of the local small cell base station based on historical data, the network signal data of the local small cell base station in the time distribution time period, the time distribution time period and the communication quality data of the user service in the time distribution time period of the user service performed by the user terminal through the local small cell base station, and adjusts the working parameters of the local small cell base station for performing the data communication for the user terminal according to the preset anti-interference strategy so as to meet the communication requirements of the user service, so that the 5G small cell base station can flexibly adjust the working state according to the service condition and the interference condition, thereby reducing the power consumption and the manual maintenance cost as much as possible and realizing energy conservation and environmental protection under the condition of meeting the communication requirements.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

fig. 1 is a flowchart of a 5G small cell base station intelligent control method according to the present application.

Fig. 2 is a flowchart of another intelligent control method for a 5G small cell base station according to the present application.

Fig. 3 is a block diagram of a 5G small cell intelligent control device according to the present application.

Fig. 4 is a schematic diagram of the 5G small cell base station of the present application.

The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It should be apparent that the embodiments described are some, but not all embodiments of the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.

The embodiments of the present application will be described in further detail with reference to the drawings. It is to be understood that the embodiments described herein are merely illustrative and explanatory of the application and are not restrictive thereof.

Referring to fig. 1, fig. 1 is a flowchart of a method for intelligently controlling a 5G small cell base station according to the present application. As shown in fig. 1, it comprises the following steps:

step S101, acquiring a first time distribution of data communication of the adjacent region of the local small base station based on historical data, adjacent region information and network signal data characteristics of the local small base station in the corresponding time distribution, establishing a first characteristic set,

wherein the elements of the first feature set are ordered groups consisting of a first time distribution period, neighbor information within the first time distribution period, and network signal data.

In the embodiment of the present application, in order to perform interference analysis, in a wireless communication system including a 5G small cell and a user terminal, when the user terminal sends request information to the 5G small cell, neighbor cell information is reported at the same time. When a user terminal accesses a 5G small cell, the 5G small cell is required to provide radio resources, such as RB, frequency band, qoS, time, etc., for a certain 5G small cell, radio information of a neighboring cell of the certain 5G small cell may have a certain influence on a radio communication system where the 5G small cell is located, such as interference or collision. In some embodiments, the neighbor cell information includes frequency points, TAC, wireless power, interference, and the like of the neighbor cell, and the neighbor cell information may be used to perform interference analysis.

In addition, network Signal data of the local small base station mainly includes an index of influence of an external environment on the local small base station when the 5G small base station is busy and idle, and mainly focuses on a situation of radio change, such as a change in a Reference Signal Receiving Power (RSRP) and a change in a Received Signal Strength Indicator (RSSI) value. It should be noted that, in the embodiment of the present application, the neighboring cell information, the network signal data, and the like may be extracted through an OMC network management background or in other manners, and the manner of obtaining the neighboring cell information and the network signal data is the prior art, and is not described in detail here.

By analyzing historical data in a preset time period, time distribution of data communication of the adjacent cell of the local small base station, adjacent cell information in different time distribution time periods and network signal data of the local small base station in the time distribution time periods can be obtained, and by performing characteristic processing on related data, a mapping relation between the adjacent cell information and the network signal data characteristics in the time distribution time periods can be established, so that the change relation between related parameters can be further analyzed, and further, the incidence relation of influence of the adjacent cell data communication on the network signal data of the local small base station is judged. In some embodiments, the preset time period may be a time period in which one mobile communication service has a periodic rule, and if the preset time period is 1 week, the 5G small cell may perform data statistics in units of 1 week. The analysis results can then be updated according to the latest statistical data.

In order to perform standardized processing on related data, a first feature set C1 is established in this embodiment, and an element of the set C1 is an ordered group consisting of a first time distribution period, neighbor information, and network signal data. Specific examples are as follows:

c1= { < T1, (neighbor information 1), (network signal data 1) >, < T2, (neighbor information 2), (network signal data 2) >, \8230 \ 8230;, < Tn, (neighbor information n), (network signal data n) }.

T1, T2, \8230: \ Tn is different time periods in a preset period, and time nodes for reporting neighbor cell information simultaneously can be divided according to request information sent by a user terminal to a 5G small cell. The neighbor information may be at least one of a frequency point, a TAC, a wireless power, interference, and the like, or a combination of several parameters among the aforementioned related parameters. The network signal data may be one of a reference signal received power or a received signal strength indication, or a combination of both.

Step S102, obtaining a second time distribution of user service, user service type and communication quality data characteristics of the user service in the corresponding time distribution, which are based on historical data and used by the user terminal to carry out data communication through the local small base station, establishing a second characteristic set,

wherein, the elements of the second feature set are ordered groups formed by a second time distribution period, user service types and communication quality data in the second time distribution period.

In the embodiment of the present application, in order to perform interference analysis, in addition to network signal data such as RSSI and RSRP, in some embodiments, user service data of data communication performed by a user terminal through a local small cell may be comprehensively used for analysis. The user service data includes user service type, size of transmission data, transmission quality requirement (including packet loss rate, bit error rate, wireless power, etc.), time delay, survival period, etc. In some embodiments, the user traffic types include various traffic types, such as voice traffic, video traffic, data traffic, and so on. By counting the success/failure results of the service at different time points or time periods (for example, each hour is a unit) within a preset time period, the success rate of the service at the corresponding time point or time period can be obtained. The service success rate is generally related to the network interference condition, so the service success rate can reflect the interference condition of the base station to a certain extent. In addition, the service quality can be obtained by analyzing the user service data, and the service quality can reflect the interference condition of the base station to a certain extent. Similarly, the service success rate and the service quality acquisition method may all adopt the prior art, and a detailed description thereof is omitted here.

By analyzing historical data in a preset time period, time distribution of user services of data communication of the user terminal through the local small base station can be obtained, service types and corresponding communication quality data in different time distribution periods can be obtained, and mapping relation between the service types and the communication quality data characteristics in the time distribution periods can be established by performing characteristic processing on related data, so that the variation relation between related parameters can be further analyzed, and the incidence relation of influence of data communication of adjacent cells on the communication quality data of the user services of the data communication of the user terminal through the local small base station can be further judged. In some embodiments, the preset time period may be a time period in which one mobile communication service has a periodic rule, and if the preset time period is 1 week, the 5G small cell may perform data statistics in units of 1 week. The analysis results can then be updated according to the latest statistical data.

In order to perform standardized processing on related data, in the embodiment of the present application, a second feature set C2 is established, and an element of the set C2 is an ordered group consisting of a second time distribution period, a user service type in the second time distribution period, and communication quality data. Specific examples are as follows:

c2= { < S2, (traffic type 1), (communication quality data 1) >, < S2, (traffic type 2), (communication quality data 2) >, \8230;, < Sn, (traffic type n), (communication quality data n) }.

The method comprises the steps of S1, S2, \8230:, sn is different time periods in a preset period, and can be divided according to the time period of user service of data communication of a user terminal through a local small base station. Wherein the service type may be at least one of voice service, video service, data service, etc. The communication quality data may be one of a service success rate or a service quality, or a combination thereof.

Furthermore, in some embodiments, the method may further include: and acquiring the service distribution characteristic of the data communication of the user terminal through the local small base station by analyzing the user service type in the second time distribution period. That is, the main service types of the user terminal in different time periods are obtained by analyzing the user service data in the preset time period. It can be understood that, due to the periodic variation of the usage habits of the users, the user terminal may exhibit a certain periodic rule in the service type distribution, for example, during the working period, there are more data services, and outside the working period, there are more voice services and video services. And obtaining the service distribution characteristics of the 5G small base station by analyzing the user service data in a preset time period. The method can provide basis for further optimizing resource allocation and parameter setting for the 5G small base station according to the use rule of the user terminal.

Step S103, selecting the overlapping time distribution time interval of the first time distribution and the second time distribution as a third time distribution time interval, establishing a third characteristic set,

and the elements of the third feature set are ordered groups consisting of a third time distribution period, neighbor cell information in the third time distribution period, network signal data, user service types and communication quality data.

In the embodiment of the application, in order to perform interference analysis, an overlapping time distribution period during which data communication is performed by selecting an adjacent cell of a local small cell and data communication is performed by a user terminal through the local small cell is required, and mapping relationships among the adjacent cell information, the network signal data of the local small cell, the service type of the user terminal and communication quality data in the overlapping time distribution period can be established by performing comprehensive analysis on the adjacent cell information, the network signal data of the local small cell, the service type of the user terminal and the communication quality data in the overlapping time distribution period, so that a variation relationship among relevant parameters can be further analyzed, and further an association relationship that the data communication performed by the adjacent cell affects the communication quality of the user service performed by the user terminal through the local small cell is judged.

In order to perform standardized processing on related data, in this embodiment of the present application, an overlapping time distribution period of the first time distribution and the second time distribution is selected as a third time distribution period, a third feature set C3 is established, and an element of the set C3 is an ordered group consisting of the third time distribution period, neighboring cell information in the third time distribution period, network signal data, a user service type, and communication quality data. Specific examples are as follows:

c3= { < TS1, (neighborhood information _ TS 1), (network signal data _ TS 1), (traffic type _ TS 1), (communication quality data _ TS 1) >, < T2, (neighborhood information _ TS 2), (network signal data _ TS 2), (traffic type _ TS 2), (communication quality data _ TS 2) >, \8230; < TSn, (neighborhood information _ TSn), (network signal data _ TSn), (traffic type _ TSn), (communication quality data _ TSn) }.

The TSn (N belongs to N, N is a natural number) is a distribution time period in which the first distribution time period and the second distribution time period overlap, the neighbor information ts _ N (N belongs to N, N is a natural number) corresponding to the TSn time period, the network signal data ts _ N (N belongs to N, N is a natural number), the service type _ TSn (N belongs to N, N is a natural number), and the communication quality data _ TSn (N belongs to N, N is a natural number), which can be obtained from elements in the C1 and C2 set through a mathematical operation algorithm, and are not described herein again.

Step S104, according to the mapping relation among the third time distribution time period, the neighboring cell information, the network signal data, the user service type and the communication quality data in the third feature set, the interference degree, the distribution time period, the association relation and the interference type of the neighboring cell for performing data communication to generate interference on the user service of the local small base station are judged.

In the embodiment of the application, for interference analysis, the interference degree, the distribution time period, the association relationship and the interference type of interference generated by data communication performed on the user service of the local small base station in the neighboring cell at the time period are judged according to the mapping relationship among data by counting and analyzing the neighboring cell information, the network signal data, the service type and the communication quality data obtained at different distribution time periods within a preset time period.

In some embodiments, the interference level (for example, large interference or small interference) of the interference generated by the data communication performed by the neighboring cell to the user service of the local small base station may be determined according to the mapping relationship among the third time distribution period, the neighboring cell information, the network signal data, the user service type, and the communication quality data in the third feature set.

Specifically, the interference degree is determined comprehensively by reference signal received power, received signal strength indication, service success rate, and service quality.

Further, the interference level is determined by at least one of a reference signal received power, a received signal strength indicator, a service success rate, and a service quality.

In the embodiment of the present application, the determination of the interference degree is mainly determined by comprehensively considering indexes such as Reference Signal Receiving Power (RSRP), received Signal Strength Indicator (RSSI), service success rate, quality of Service (Quality of Service, qoS), and the like. The RSRP is an average value of signal powers received on all REs (resource elements) carrying reference signals in a certain symbol, and is a key parameter representing the strength of a radio signal, and the larger the value of the RSRP is, the better the RSRP is. When the interference conditions borne by the base station are different, the values of the RSRP are also different, so that the RSRP can reflect the interference conditions of the base station to a certain extent. The RSSI refers to the received signal strength indication, the value of which can be used to judge the current network coverage level, the RSSI is a main index for judging interference, and the RSSI value is very small in an ideal state. When the interference conditions suffered by the base station are different, the RSSI value is also different, such as: under normal conditions, the RSSI at cell idle should therefore be around 99.5dBm, when RSSI is [ -99.5dBm, -90dBm ], there is a slight interference; when the RSSI is between-90 dBm and-75 dBm, medium interference exists, and when the RSSI is above-75 dBm, serious interference exists, so the RSSI can reflect the interference condition of the base station to a certain extent. The service success rate may be reflected by one or both of an access success rate and a drop rate of the terminal. The access success rate refers to the probability that the terminal can successfully access the network when performing services such as surfing the internet, making a call and the like, namely the ratio of the number of successful service establishment times to the number of service establishment attempts; the disconnection rate refers to the probability of network interruption caused by an accident after the terminal accesses the network, i.e. the ratio of the disconnection times to the successful service establishment times. The service success rate is generally related to the interference condition of the network, so the service success rate can reflect the interference condition of the base station to a certain extent. QoS refers to a measure of the overall performance of a service experienced by a user terminal in a network. In a 5G mobile communication system, the measurement index of QoS may include transmission link bandwidth, packet transmission delay and jitter, and packet loss rate. Generally, the quality of service provided by the base station is poorer when the interference is larger, and the quality of service provided by the base station is higher when the interference is smaller, so that the quality of service can reflect the interference situation of the base station to a certain extent. In the embodiment of the application, four indexes of reference signal receiving power, received signal strength indication, service success rate and service quality are selected, the interference condition of the base station is comprehensively judged, and the interference condition of the small base station can be more accurately reflected.

Further, the interference degree is determined by means of weighted summation according to the reference signal received power, the received signal strength indication, the service success rate and the service quality. The four indexes can adopt different weights, then an interference index is calculated by using a weighted summation mode, the interference index is used for representing the interference degree of the local small base station, such as large interference, small interference or no interference, and the interference degree can be classified in a more detailed grade according to the interference magnitude, such as first-grade interference, second-grade interference, third-grade interference, fourth-grade interference and the like. The specific dividing method can be implemented by combining the prior art according to actual needs, which is not described herein.

In some embodiments, the distribution time period when the data communication performed by the neighboring cell interferes with the user service of the local small cell may be determined according to the interference degree (for example, large interference or small interference) when the data communication performed by the neighboring cell interferes with the user service of the local small cell.

Specifically, when the interference degree is greater than a preset threshold, the distribution time period is determined to be a distribution time period when the data communication performed by the neighboring cell interferes with the user service of the local small cell.

When the interference degree is greater than the preset threshold, the interference degree influences the user service of the user terminal for data communication through the local small base station, and the time period is determined as the distribution time period of the interference of the data communication carried out in the adjacent cell to the user service of the local small base station. The setting of the preset threshold value can be determined by combining the communication requirements of the user services. And further judging the incidence relation and the interference type of the interference generated by the data communication of the adjacent cell to the user service of the local small base station in the period by analyzing the mapping relation among the adjacent cell information, the network signal data, the user service type and the communication quality data in the distribution period.

In some embodiments, the interference type, in which data communication performed by the neighboring cell interferes with the user service of the local small cell, may be determined according to a mapping relationship among a third time distribution period, neighboring cell information, network signal data, a user service type, and communication quality data in the third feature set.

Specifically, according to the neighbor cell information, determining an interference type of interference generated by data communication performed by the neighbor cell on a user service of a local small cell base station, where the interference type is at least one of adjacent frequency interference, co-frequency interference and blocking interference.

In some embodiments, the association relationship that the data communication performed by the neighboring cell interferes with the user service of the local small cell may be determined according to a mapping relationship among the third time distribution period, the neighboring cell information, the network signal data, the user service type, and the communication quality data in the third feature set.

Specifically, the incidence relation that the data communication performed by the neighboring cell interferes with the user service of the local small cell is judged by a control variable method.

In the third feature set, variable control is performed on each parameter in the neighboring cell information, that is, a certain item or certain items of parameters in the neighboring cell information are selected to be the same or similar, but other parameters are different in time distribution time period, and the incidence relation between the relevant parameters and the interference degree in the neighboring cell information can be judged by analyzing the interference degree of the time distribution time period.

For example, when some or several items of data of frequency points, TAC, wireless power and interference in the neighboring cell information are close, and some or several other items of data have a large difference, but the service types of the user terminals are the same, and the network signal and the communication quality have an obvious difference, the data having the large difference in the neighboring cell information can be judged, which may affect the network signal and the communication quality, and the existence of an association relationship between related parameters and the interference degree in the neighboring cell information is determined.

In a preferred embodiment provided by the present application, a BP neural network algorithm may be used to optimize a process of determining an interference degree, a distribution time period, an association relationship, and an interference type of interference generated by data communication performed in the neighboring cell on a user service of a local small cell.

During implementation, an interference model needs to be built in advance based on a BP neural network model, and then the interference degree, the distribution time period, the association relation and the interference type of the interference generated by the data communication carried out by the neighbor cell to the user service of the local small base station are judged according to the data such as the distribution time period, the neighbor cell information, the network signal data, the service type, the communication quality data and the like and the interference model. Specifically, the interference model construction process includes:

(1) And for any small base station, counting historical data of the small base station, and constructing a training data set according to the historical data. Any piece of training data in the training data set comprises distribution time period, adjacent region information, network signal data, service type and communication quality data; for the small base station, when one or more of frequency point, TAC, wireless power and interference data in the neighbor cell information are different, corresponding changes of reference signal receiving power and received signal strength indication of the local small base station are obtained from historical data, and corresponding user service type and communication quality data are further obtained.

(2) And inputting the training data set into a BP neural network model for training, and when the output error of the BP neural network model meets the preset precision, taking the obtained model as an interference model. The BP neural network model is the prior art, and the embodiment of the application mainly utilizes the BP neural network model as an interference model to carry out interference prediction.

Correspondingly, after obtaining the interference model, as an example, the step of determining the interference degree, the distribution time period, the association relationship and the interference type of the interference generated by the data communication performed by the neighboring cell to the user service of the local small cell includes:

(1) Acquiring reference signal receiving power, received signal strength indication, service success rate and service quality of different time periods in a preset time period from the network signal data and the user communication quality data; inputting the reference signal received power, the received signal strength indication, the service success rate and the service quality corresponding to different time periods into the interference model to obtain interference degrees of different time periods;

(2) Determining a time period when the interference degree is greater than a preset threshold value as a distribution time period when data communication is carried out on an adjacent cell to generate interference on user services of a local small base station according to the interference degrees of different time periods;

(3) Acquiring adjacent cell information of an interference distribution period, reference signal receiving power and received signal strength indication of a local small base station, and service type, service success rate and service quality of data communication of a user terminal;

(4) And inputting the neighbor cell information, the reference signal received power, the received signal strength indication, the service type, the service success rate and the service quality into the interference model to obtain the incidence relation and the interference type of the interference generated under different conditions.

And S105, adjusting working parameters of the local small base station for carrying out data communication for the user terminal according to a preset anti-interference strategy based on the interference degree, the distribution time period, the association relation and the interference type of the interference generated by the data communication carried out on the neighboring cell on the user service of the local small base station so as to meet the communication requirement of the user service.

In some embodiments, the operating parameters of the local small cell may include: the transmitting power of the base station, the pilot power of the base station, the working TAC value of the base station, the QoS parameters of different user service types, the RB positions distributed by different user terminals and the like. In some embodiments, the adjustable operating parameters may also include other wireless resources, such as: transmit antennas, transmission slots, transmission channels or transmission subcarriers, etc. The pilot power is a part of the downlink power, and shares the downlink power with other downlink channels. Because the power of the 5G small base station transmitter is rated, the proportion of the pilot frequency power is large, which reduces the power of other downlink channels and further affects the traffic volume supported by the downlink channels. Specifically, the coverage area will increase and the supported service capability will decrease as the pilot power increases; correspondingly, the pilot power decreases, the coverage area decreases, and the supported service capability increases. Thus, different traffic scenarios can be addressed by adjusting the pilot power. Timing Advance (TA) for terminal uplink transmission, which means that the terminal sends out data packets at a corresponding time in Advance according to a corresponding instruction. A Timing Advance Command (TAC), also called a synchronization Command word, is information indicating a time alignment Command transmitted from a base station to a terminal in order to maintain uplink time alignment. The base station informs the terminal of the time of the timing advance, namely the value of the TA, by sending the TAC to the terminal. The QoS technology is capable of allocating bandwidth for various services in a balanced manner under limited bandwidth resources, and providing end-to-end quality of service guarantee for various services according to different requirements of the services. In the embodiment of the application, priorities can be preset for different user service types, different priorities can be set for different service types, and then different service types can be processed according to the preset priorities when network congestion is caused in busy service periods according to service distribution period information.

When the small base station is in different interference scenes and service scenes, corresponding working parameters can be adjusted to provide services capable of meeting the service communication quality requirements of the user terminal for the user terminal.

In a preferred embodiment provided by the present application, according to a preset anti-interference policy, adjusting a working parameter of a local small base station for performing data communication for a user terminal, so as to meet a communication requirement of a user service, specifically including:

and when the network signal data characteristics and/or the communication quality data characteristics are inferior to the communication requirements of the user services, adjusting the working parameters of the local small base station for carrying out data communication for the user terminal so as to achieve the purpose of improving the adjustment of the communication quality of the user services, wherein the working parameters comprise at least one of transmitting power, pilot frequency power, a transmitting antenna and a transmission time slot.

The corresponding operating parameters can be adjusted based on the interference level to meet the communication requirements of the user service. And if the interference degree of the local small base station at the current moment is higher and the interference is serious, closing part of the wireless resources to reduce the interference. As described above, the interference level may be determined comprehensively by referring to the received power of the signal, the received signal strength indication, the service success rate, the service quality, and other indicators. The interference degree can be determined by at least one of reference signal received power, received signal strength indication, service success rate and service quality. And may also be determined by a weighted sum of the above-mentioned metrics.

Specifically, if the interference of the local small base station at the current moment is larger according to the interference distribution period information, part of wireless resources can be closed to reduce the interference, so that the user terminal can be better accessed, and the communication quality of user services can be improved; in this case, the adjustable operating parameters may include other radio resources besides the transmission power, such as: transmit antennas, transmission slots, transmission channels or transmission subcarriers, etc.

In some embodiments, the corresponding operating parameters may also be adjusted based on the interference type to meet the communication requirements of the user service. And if the current interference type is judged to be co-channel interference, adjacent channel interference or blocking interference, the position and frequency band of the RB number distributed to the user terminal by the local small base station can be adjusted, the related interference is avoided and reduced as much as possible, and further, the user experience can be further improved by means of cell fission and other technical means.

In some embodiments, the corresponding operating parameters may also be adjusted based on the user behavior habits and the interference distribution conditions to meet the communication requirements of the user services.

And further analyzing the service distribution time period of the data communication of the user terminal through the local small base station, wherein the service distribution time period information can comprise detailed information such as time distribution of each user service type, time distribution of each user service type service volume, time distribution of all service volumes, service success rate, service failure reason and the like in 1 week. Based on the information, the user behavior habit based on the time dimension can be obtained, and the working parameters of the local small base station can be adjusted and set based on the user behavior habit and the interference distribution condition so as to ensure the communication quality of the user service in the distribution time period of the specific user service set.

In some embodiments, the corresponding operating parameters may also be adjusted based on the association relationship to meet the communication requirements of the user service.

By the method, variable control is carried out on each parameter in the adjacent cell information, and then the incidence relation between the relevant parameter in the adjacent cell information and the interference degree can be judged. When a certain item or items of data of frequency points, TACs, wireless power and interference in the neighbor information are close, and other certain items or items of data have larger difference but the service types of the user terminals are the same, and the network signal and the communication quality have obvious difference, the data with larger difference in the neighbor information can be judged, which may affect the network signal and the communication quality, and the incidence relation between the relevant parameters and the interference degree in the neighbor information is determined. And then according to the incidence relation, adjusting the corresponding working parameters to meet the communication requirement of the user service. The adjustment mode can further provide data accumulation for subsequent better parameter adjustment through manual marking or long-term learning of an algorithm.

In a preferred embodiment provided by the present application, a BP neural network algorithm is used to optimize a process of adjusting a local small base station to perform data communication for a user terminal, so as to achieve an adjustment purpose of improving the communication quality of the user service.

Through the BP neural network algorithm, based on historical data, detailed information such as user service distribution time period, time distribution of each user service type service volume, time distribution of all service volumes, service success rate, service failure reason and the like of data communication of the user terminal through the local small base station can be further analyzed. By comparing the working parameters of the local small base station at different time intervals, the process of adjusting the working parameters of the local small base station for carrying out data communication on the user terminal can be optimized, and a better adjustment scheme can be fitted through long-term data accumulation, so that the communication quality of the user service is improved. As the specific principle of the foregoing adjustment process is mentioned above, details of the adjustment process are not described herein, and the adjustment process is mainly further optimized.

In a preferred embodiment provided by the present application, the method for adjusting the working parameters of the local enb for performing data communication for the ue according to the preset anti-interference policy so as to meet the communication requirement of the user service further includes:

when the network signal data characteristic and/or the communication quality data characteristic reach or exceed the communication requirement of the user service, adjusting the working parameters of the local small base station for carrying out data communication for the user terminal so as to fulfill the aim of reducing the power consumption of the small base station while meeting the communication requirement of the user service, wherein the working parameters comprise at least one of transmitting power, pilot frequency power, a transmitting antenna and transmission time slots.

Specifically, on the premise of meeting the communication requirement of the current user service, the working parameters of the local small base station can be further adjusted to reduce the power consumption of the small base station.

If the local small base station is in the idle time of the service at the current moment, or the network communication quality is better, the network resource occupation is less, and part of the wireless resources can be closed to reduce the power consumption of the base station on the basis of meeting the communication requirement of the current user service; specifically, if the traffic of the local small base station at the current moment is smaller according to the service distribution period information, for example, the traffic is often smaller in the period from night to early morning, or there is no network interference, and the communication quality is better, the capacity reduction processing can be performed on the system, and part of resources are closed, so that on the premise that the communication requirement of the current user service is met, the working parameters of the local small base station are further adjusted, so that the power consumption of the small base station is reduced, the effects of saving power, saving energy and protecting environment are achieved, for example, the transmission power is reduced, and part of transmitting antennas are closed. In this case, the adjustable operating parameters may include other radio resources besides the transmission power, such as: transmit antennas, transmission slots, transmission channels or transmission subcarriers, etc.

If the local small base station is in a busy period at the current moment, the access speed and the communication quality of the user terminal can be improved by adjusting each working parameter. Specifically, if the local small base station at the current time has a large traffic volume according to the service distribution period information, the adjustment of each working parameter, such as the improvement of the transmission power, the improvement of the scheduling period, the adoption of the optimal RB resource and transmission channel, the reduction of the pilot frequency power, the dynamic adjustment of the number of users scheduled by the TTI, and the like, can be performed, and the adjustment of each parameter is coordinated with each other, so that the adjustment of each parameter is integrated to meet the requirement of balanced processing, thereby realizing the rapid provision of the service and enabling the user terminal to complete the service as soon as possible.

In a preferred embodiment provided by the present application, a BP neural network algorithm is used, and a process of adjusting a local small base station to perform data communication for a user terminal is optimized to meet a communication requirement of a user service and reduce power consumption of the small base station.

Through the BP neural network algorithm, based on historical data, detailed information such as user service distribution time period, time distribution of each user service type service volume, time distribution of all service volumes and the like of data communication of the user terminal through the local small base station can be further analyzed. Based on the information, the user behavior habit based on the time dimension can be obtained, and the working parameters of the local small base station can be adjusted and set based on the user behavior habit so as to achieve the aim of adjusting the power consumption of the small base station while meeting the communication requirement of user services. By comparing the working parameters of the local small base station in different time periods, the process of adjusting the working parameters of the local small base station for carrying out data communication for the user terminal can be optimized, and through long-term data accumulation, a better fitting scheme can be achieved, so that the adjustment scheme for meeting the communication requirement of user services and reducing the power consumption of the small base station as far as possible is realized. The BP neural network algorithm is used to optimize the process of adjusting the local small base station to perform data communication for the user terminal, so as to meet the communication requirement of the user service and reduce the power consumption of the small base station, and the specific principle of the adjustment process is mentioned above and is not described herein again.

In the embodiment of the application, the working parameters of the local small base station are adjusted by using the interference distribution period information and the service distribution period information, and the core idea is to provide matched services for the user terminal according to the current interference situation and service situation of the local small base station so as to reasonably allocate system resources according to different scenes and control the 5G small base station to work in different working states, thereby providing more efficient and more targeted services for the user terminal, reducing power consumption and manual maintenance cost as much as possible, and realizing energy conservation and environmental protection.

Example 2

Referring to fig. 2, fig. 2 is a flowchart of another embodiment of a method for intelligently controlling a small cell base station of the 5G application. Compared with the embodiment shown in fig. 1, the method for intelligently controlling the 5G small cell further includes the following steps:

step S201, when receiving the request information of the terminal user, obtaining the neighbor information, the network signal data and the user service data in the request information.

In the embodiment of the present application, in order to perform interference analysis, in a wireless communication system including a 5G small cell and a user terminal, when the user terminal sends request information to the 5G small cell, neighboring cell information is reported at the same time. When a user terminal accesses a 5G small cell, the 5G small cell is required to provide wireless resources, such as RB, frequency band, qoS, time, etc., for a certain 5G small cell, wireless information of a neighboring cell of the certain 5G small cell may cause certain influence, such as interference or collision, on a wireless communication system where the 5G small cell is located, and in order to enable the 5G small cell to configure optimal wireless resources or services for the user terminal, the user terminal is required to be able to report neighboring cell information to the 5G small cell. In some embodiments, the neighbor cell information includes frequency points, TAC, wireless power, interference, and the like of the neighbor cell, and the neighbor cell information may be used to perform interference analysis.

In addition, network Signal data of the local small base station also needs to be considered, and mainly includes an index of influence of an external environment on the local small base station when the 5G small base station is busy and idle, and mainly focuses on a situation of wireless change, such as numerical value change of Reference Signal Receiving Power (RSRP) and Received Signal Strength Indicator (RSSI). It should be noted that, in the embodiment of the present application, the neighboring cell information, the network signal data, and the like may be extracted through an OMC network management background or in other manners, and the manner of obtaining the neighboring cell information and the network signal data is the prior art, and is not described in detail here.

And then, when the 5G small base station provides wireless resources or services for the user terminal, the working parameters of the small base station can be adjusted according to the preset anti-interference strategy and the anti-interference strategy continuously optimized by the BP neural network algorithm by referring to the neighbor information and the network signal data in the request information.

In the embodiment of the present application, in order to perform interference analysis, in addition to network signal data such as RSSI and RSRP, in some embodiments, user service data of data communication performed by a user terminal through a local small cell may be comprehensively used for analysis. The user service data includes data such as user service type, size of transmission data, transmission quality requirements (including packet loss rate, bit error rate, wireless power, etc.), time delay, and survival period. In some embodiments, the user traffic types include various traffic types, such as voice traffic, video traffic, data traffic, and so on.

For a specific user request, the required resources are also different, so when the 5G small cell provides radio resources or services for the user terminal, the user service type needs to be combined at the same time.

Certainly, when the 5G small cell provides the wireless resource or service for the user terminal, it may also refer to other user service data, for example, data such as size of transmission data, transmission quality requirements (including packet loss rate, bit error rate, wireless power, and the like), time delay, and survival period, which are not described herein again.

In some embodiments, step S201 may further include an initialization operation of the 5G small cell. Specifically, the initialization process includes: when the small cell starts working, the platform management module firstly acquires hardware resources of the system, carries out corresponding self-checking, then starts a corresponding software program, and then when the small cell starts, acquires configuration data and wireless parameters of the small cell through the OAM module, starts the CU and the DU, establishes the cell, and configures each corresponding module, thereby achieving the normal working of the cell.

Step S202, acquiring current resource data of the local small base station, wherein the resource data comprises wireless resources, software resources, hardware resources, operation resources and an operation state.

When the 5G small base station operates, the 5G small base station mainly relates to modules of 5G protocol software, hardware, networks, wireless performance, service quality characteristics and the like.

The 5G protocol software comprises a CU/DU framework and scheduling strategies, wherein the scheduling strategies comprise access thresholds, scheduling periods, preemption, priority and other strategies. A CU (Centralized Unit) mainly includes a non-real-time wireless higher layer protocol stack function, and also supports partial core network function convergence and edge application service deployment. DU (Distributed Unit), layer 2 functions that mainly handle physical layer functions and real-time requirements. In consideration of saving transmission resources between the RRU and the DU, part of the physical layer functions may also be moved up to the RRU. The hardware mainly includes a CPU, a memory, an accelerator card, and the like, and correspondingly, the hardware resource obtained in step S102 may be change information of each hardware, such as change conditions of the CPU and the memory, in the process of ceaselessly accessing and releasing the user terminal; the network mainly comprises parameters such as network bandwidth, time delay, packet loss rate and the like; the wireless performance mainly comprises parameters such as frequency spectrum, bandwidth, TAC, antenna number and the like; the service quality characteristics include quality of service (QoS), service, bearer, and other characteristics, wherein the EPS bearer may be further classified as GBR/Non-GBR according to the user service requirement and QoS.

When the 5G small cell provides service for the user terminal, the current state parameters of the 5G small cell can be acquired, and then the resource parameters are configured for the user terminal by combining the current state of the 5G small cell. Specifically, at a certain time, the state parameters of the 5G small cell may include state parameters of 5G protocol software thereof, state parameters of hardware resources thereof, state parameters of wireless resources thereof, and information of currently operating resources and operating states thereof.

In order to realize intelligent control of the 5G small base station, in the embodiment of the present application, as shown in fig. 4, the 5G small base station is divided from a functional perspective, and includes an intelligent management module in addition to an OAM (operation, administration and maintenance) module, a platform module (hardware and operating system), and a CU-DU architecture, where the intelligent management module is configured to execute the intelligent control method of the 5G small base station described in each embodiment of the present application. Specifically, the intelligent management module can communicate with the OAM module, the platform module and the CU in the CU-DU framework, and the intelligent management module can acquire the wireless resources of the 5G small cell when communicating with the OAM module, can acquire the hardware resources and software resources of the 5G small cell when communicating with the platform module, and can acquire the real-time operating resources and operating states of the 5G small cell when communicating with the CU.

Step S203, configuring resource parameters for the terminal user according to the adjacent cell information, the network signal data, the user service data and the resource data, wherein the resource parameters comprise wireless resource parameters, and the wireless resource parameters comprise one or more of RB, frequency band, service quality and wireless power.

Specifically, resource parameters are configured for the user terminal according to the neighboring cell information, the network signal data, the user service data and the resource data, so that intelligent management and control are realized, and optimal configuration is dynamically achieved. The resource parameter is used for characterizing resource information allocated to the user terminal.

Such as: a certain user terminal requests a 1G data service in a certain time period, that is, user service data is the data service requesting 1G, the intelligent management module in this embodiment of the present application may give the best access point of this user terminal according to factors such as the idle state of the 5G small base station, the network condition, the idle condition of each RB in the radio resource, the interference condition of each RB, and the like at this time, and allocate an access parameter to the best access point, where this access parameter is a resource parameter, and includes parameters such as the RB position, the QoS parameter of the terminal, the block error rate, the period of the scheduling time, and prepare a corresponding transmission channel for the best access point.

Compared with the prior art, according to the intelligent control method of the 5G small base station, when the 5G small base station receives the request information of the user terminal, the adjacent cell information, the network signal data and the user service data in the request information are obtained, the current resource data of the local small base station are obtained, the resource data comprise wireless resources, software resources, hardware resources, running resources and running states, and then resource parameters are configured for the user terminal according to the adjacent cell information, the network signal data, the user service data and the resource data, so that the resources are flexibly distributed for the user terminal according to the current state of the 5G small base station and the external environment interference condition, the resource utilization efficiency is improved, unnecessary power consumption waste and manual maintenance operation can be avoided to a certain extent, and the energy-saving effect is achieved.

Example 3

Referring to fig. 3, the present embodiment provides an intelligent control apparatus 100 for a 5G small cell base station, which includes an obtaining module 10, an analyzing module 12, and an adjusting module 14. Specifically, the method comprises the following steps:

the obtaining module 10 obtains a first time distribution of data communication of the neighboring cell of the local small cell based on the historical data, neighboring cell information and network signal data characteristics of the local small cell in the corresponding time distribution,

and the user terminal based on the historical data carries out second time distribution of the user service of data communication through the local small base station, the user service type and the communication quality data characteristics of the user service in the corresponding time distribution.

An analysis module 12, configured to establish a first feature set, where an element of the first feature set is an ordered group consisting of a first time distribution period, neighbor information in the first time distribution period, and network signal data,

the network element selection module is further configured to establish a third feature set, and select an overlapping time distribution period of the first time distribution and the second time distribution as a third time distribution period, where an element of the third feature set is an ordered group consisting of the third time distribution period, neighboring cell information in the third time distribution period, network signal data, a user service type, and communication quality data;

and the system is further configured to determine, according to a mapping relationship among a third time distribution period, neighboring cell information, network signal data, a user service type, and communication quality data in the third feature set, an interference degree, a distribution period, an association relationship, and an interference type, at which data communication performed by the neighboring cell interferes with a user service of the local cell.

And an adjusting module 14, configured to adjust a working parameter of the local small base station for performing data communication for the user terminal according to a preset anti-interference policy based on an interference degree, a distribution time period, an association relation, and an interference type of interference generated by the data communication performed in the neighboring cell on the user service of the local small base station, so as to meet a communication requirement of the user service.

Specifically, the adjusting module 14 is specifically configured to implement the following functions:

(1) When the network signal data characteristics and/or the communication quality data characteristics are inferior to the communication requirements of the user services, adjusting the working parameters of the local small base station for carrying out data communication for the user terminal so as to achieve the purpose of improving the adjustment of the communication quality of the user services, wherein the working parameters comprise at least one of transmitting power, pilot frequency power, a transmitting antenna and a transmission time slot;

(2) When the network signal data characteristic and/or the communication quality data characteristic reach or exceed the communication requirement of the user service, adjusting the working parameters of the local small base station for carrying out data communication for the user terminal so as to fulfill the aim of reducing the power consumption of the small base station while meeting the communication requirement of the user service, wherein the working parameters comprise at least one of transmitting power, pilot frequency power, a transmitting antenna and transmission time slots.

In some other embodiments, the 5G small cell intelligent control apparatus 100 may further include:

the first data acquisition module is used for acquiring neighbor cell information, network signal data and user service types in request information when receiving the request information of a terminal user;

the second data acquisition module is used for acquiring current resource data of the local small base station, wherein the resource data comprises wireless resources, software resources, hardware resources, operating resources and operating states;

correspondingly, the adjusting module 14 is further configured to configure resource parameters for the terminal user according to the neighboring cell information, the network signal data, the user service type, and the resource data, where the resource parameters include radio resource parameters, and the radio resource parameters include one or more of an RB, a frequency band, a service quality, and a radio power.

According to the arrangement, when the 5G small base station receives the request information of the user terminal, the adjacent cell information, the network signal data and the user service data in the request information are obtained, and the current resource data of the local small base station is obtained, wherein the resource data comprises wireless resources, software resources, hardware resources, running resources and a running state, and then resource parameters are configured for the user terminal according to the adjacent cell information, the network signal data, the user service data and the resource data, so that the resources are flexibly distributed for the user terminal according to the current state of the 5G small base station and the external environment interference condition, the resource utilization efficiency is improved, unnecessary power consumption waste and manual maintenance operation can be avoided to a certain extent, and the energy-saving effect is achieved.

Example 4

The present embodiment provides a 5G base station, which includes a memory and a processor, where the memory stores a computer program, and when the computer program is executed by the processor, the processor implements the steps of the intelligent control method for a base 5G small cell base station according to embodiment 1 or embodiment 2.

Example 5

The present embodiment provides a computer-readable storage medium, in which computer-executable instructions are stored, and when executed by a processor, the instructions implement the steps of the intelligent control method for a 5G small cell base station as recited in embodiment 1 or 2.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. 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.

While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims

1. A5G small base station intelligent control method is characterized by comprising the following steps:

acquiring a first time distribution of data communication of the adjacent region of the local small base station based on historical data, adjacent region information and network signal data characteristics of the local small base station in the corresponding time distribution, establishing a first characteristic set,

wherein, the elements of the first feature set are ordered groups composed of a first time distribution period, neighbor cell information in the first time distribution period, and network signal data;

2. The intelligent control method of a 5G small cell as claimed in claim 1, wherein a BP neural network algorithm is used to optimize the process of judging the interference degree, distribution time period, association relationship and interference type of the interference generated by the data communication of the neighboring cell to the user service of the local small cell.

3. The intelligent control method for the 5G small cell base station according to claim 1, wherein working parameters of the local small cell base station for performing data communication for the user terminal are adjusted according to a preset anti-interference strategy to meet communication requirements of user services, and specifically comprises:

4. The intelligent control method of a 5G small cell base station as claimed in claim 3, wherein a BP neural network algorithm is used to optimize the process of adjusting the local small cell base station to perform data communication for the user terminal so as to achieve the purpose of improving the communication quality of the user service.

5. The intelligent control method of a 5G small cell as claimed in claim 1, wherein the working parameters of the local small cell for data communication of the user terminal are adjusted according to the preset anti-interference strategy to meet the communication requirements of the user service, further comprising:

6. The intelligent control method for the 5G small base station according to claim 5, characterized in that a BP neural network algorithm is used to optimize the process of adjusting the local small base station to perform data communication for the user terminal so as to achieve the adjustment purpose of reducing the power consumption of the small base station while meeting the communication requirement of the user service.

7. The intelligent control method for the 5G small cell base station according to claim 1, wherein the intelligent control method for the 5G small cell base station further comprises the following steps:

and configuring resource parameters for the terminal user according to the adjacent cell information, the network signal data, the user service data and the resource data, wherein the resource parameters comprise radio resource parameters, and the radio resource parameters comprise one or more of RB, frequency band, service quality and radio power.

8. The utility model provides a 5G little basic station intelligent control device which characterized in that includes:

the user terminal based on historical data carries out second time distribution of user services of data communication through the local small base station, user service types and communication quality data characteristics of the user services in the corresponding time distribution;

the device is further configured to establish a third feature set, and select an overlapping time distribution period of the first time distribution and the second time distribution as a third time distribution period, where an element of the third feature set is an ordered group consisting of the third time distribution period, neighbor information in the third time distribution period, network signal data, a user service type, and communication quality data;

and the adjusting module is used for adjusting working parameters of the local small base station for carrying out data communication for the user terminal according to a preset anti-interference strategy based on the interference degree, the distribution time period, the association relation and the interference type of the interference generated by the data communication carried out by the adjacent cell on the user service of the local small base station so as to meet the communication requirement of the user service.

9. A 5G small cell base station, comprising a memory and a processor, wherein the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to implement the steps of the intelligent control method of the 5G small cell base station according to any one of claims 1 to 7.

10. A computer-readable storage medium, wherein the storage medium stores computer-executable instructions, which when executed by a processor, implement the steps of the intelligent control method for 5G small cell base station according to any one of claims 1 to 7.