CN115175380B

CN115175380B - 5G small cell intelligent control method and device and 5G small cell

Info

Publication number: CN115175380B
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: 2023-06-02
Anticipated expiration: 2042-06-24
Also published as: CN115175380A

Abstract

The application discloses an intelligent control method and device for a 5G small cell and the 5G small cell, wherein the method comprises the following steps: acquiring time distribution of data communication of neighbor cells of a local small base station based on historical data, neighbor 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 period, the association relation and the interference type of the data communication carried out by the adjacent cell to the interference generated by the user service of the local small base station; according to a preset anti-interference strategy, the working parameters of the local small base station for data communication for the user terminal are adjusted to meet the communication requirement of user service, so that the 5G small base station can flexibly adjust the working state according to service conditions and interference conditions, and therefore power consumption and labor maintenance cost are reduced as much as possible under the condition of meeting the communication requirement, and energy conservation and environmental protection are realized.

Description

5G small cell intelligent control method and device and 5G small cell

Technical Field

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

Background

Small Cell refers to a type of base station that is much smaller than a conventional macro base station in terms of product morphology, transmit power, coverage, etc. From the perspective of the transmit power, a typical transmit power is between 100mW and 5W; from a weight point of view, the usual weight is between 2 and 10 kg; from the networking mode, the backhaul supporting multiple technologies including DSL/optical fiber/WLAN and cellular technologies; and the SON functions such as automatic neighbor discovery and self-configuration are also provided. Compared with macro base stations, small base stations can improve coverage depth, increase network capacity and improve user perception more effectively, so that the small base stations are receiving attention from the industry.

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

Disclosure of Invention

In view of this, it is necessary to provide a method and apparatus for intelligent control of 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 during operation of the 5G small cell in the prior art.

In order to achieve the above purpose, the embodiments of the present application provide a 5G small cell intelligent control method, apparatus, and 5G small cell.

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

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

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

acquiring a second time distribution of user services, which are based on historical data and are communicated by the user terminal through the local small base station, user service types 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 period of the first time distribution and the second time distribution as a third time distribution time period, establishing a third feature set,

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

according to the mapping relation among the third time distribution period, the adjacent cell information, the network signal data, the user service type and the communication quality data in the third feature set, judging the interference degree, the distribution 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;

and adjusting working parameters of the local small base station for the user terminal to perform data communication according to a preset anti-interference strategy 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 period, the association relation and the interference type of the interference generated by the data communication of the neighbor cell to the user service of the local small base station.

Further, according to a preset anti-interference policy, adjusting working parameters of the local small base station for data communication for the user terminal so as to meet communication requirements of user services, specifically including:

when the network signal data characteristic and/or the communication quality data characteristic are inferior to the communication requirement of the user service, the working parameters of the local small base station for data communication for the user terminal are adjusted to achieve the aim of adjusting the communication quality of the user service, 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 data communication for the user terminal so as to achieve the aim of adjusting the communication quality of the user service.

Further, according to a preset anti-interference policy, adjusting working parameters of the local small base station for data communication for the user terminal so as to meet communication requirements of user services, and 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, the working parameters of the local small base station for data communication for the user terminal are adjusted so as to achieve the purpose 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 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 data communication for the user terminal so as to realize the purpose of adjusting the power consumption of the small base station while meeting the communication requirement of user service.

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

when receiving request information of a terminal user, 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, operation resources and operation states;

and configuring resource parameters for the terminal user according to the neighbor 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 an intelligent control device of a 5G small cell, which comprises:

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

And the user terminal based on the historical data performs the second time distribution of the user service of the 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 for establishing a first feature set, wherein 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,

and is further configured to establish a second feature set, wherein elements of the second feature set are an ordered set of a second time distribution period, a user traffic type 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 method is also used for 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 neighbor cell to the user service of the local small base station according to the mapping relation among the third time distribution time period, the neighbor cell information, the network signal data, the user service type and the communication quality data in the third feature set;

And the adjusting module is used for adjusting working parameters of the local small base station for the user terminal to perform data communication according to a preset anti-interference strategy so as to meet the communication requirement of the user service based on the interference degree, the distribution 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 base station.

The application also provides a 5G small cell, which comprises 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 any one of the foregoing 5G small cell intelligent control methods.

The present application also provides a computer readable storage medium having stored therein computer executable instructions which when executed by a processor implement the steps of any one of the aforementioned 5G small cell intelligent control methods.

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

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 embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:

fig. 1 is a flowchart of a method for intelligent control of a 5G small cell in the present application.

Fig. 2 is a flowchart of another intelligent control method of the 5G small cell in the present application.

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

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

The realization, functional characteristics and advantages of the present application will be further described with reference to the embodiments, referring to the attached drawings.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of 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 will be apparent that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.

Embodiments of the present application are described in further detail below with reference to the drawings attached hereto. It should be understood that the embodiments described herein are presented by way of illustration and explanation only and are not intended to limit the present application.

Referring to fig. 1, fig. 1 is a flowchart of a 5G small cell intelligent control method of the present application. As shown in fig. 1, it comprises the steps of:

step S101, obtaining the first time distribution of data communication by the neighbor cell of the local small base station based on the history 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,

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

In the embodiment of the application, in order to perform interference analysis, in a wireless communication system composed of 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 the user terminal accesses to the 5G small cell, the 5G small cell is required to provide wireless resources such as RB, frequency band, qoS, time and the like for the 5G small cell, and for a certain 5G small cell, the wireless information of the neighbor cell can cause certain influence on the wireless communication system where the 5G small cell is located, such as interference or conflict, so that the 5G small cell can configure optimal wireless resources or services for the user terminal, and therefore the user terminal is required to report the neighbor cell information to the 5G small cell. In some embodiments, the neighbor cell information includes frequency points, TAC, radio power, interference, etc. of the neighbor cells, and the neighbor cell information may be used to perform interference analysis.

In addition, network signal data of the local small base station is considered, and the network signal data mainly comprises an influence index of the external environment on the local small base station when the 5G small base station is busy and idle, and the influence index is mainly concentrated on the condition of wireless change, such as numerical value change of reference signal received power (Reference Signal Receiving Power, RSRP) and received signal strength indication (Received Signal Strength Indicator, RSSI). It should be noted that, in the embodiment of the present application, neighbor cell information, network signal data and the like may be extracted through OMC network management background or other modes, and the acquisition mode of the neighbor cell information and the network signal data is the prior art, which is not described in detail herein.

By analyzing the historical data in the preset time period, the time distribution of the data communication of the neighbor cells of the local small base station, the neighbor cell information of different time distribution time periods and the network signal data of the local small base station in the time distribution time period can be obtained, and by carrying out characterization processing on the related data, the mapping relation between the neighbor cell information and the network signal data characteristics in the time distribution time period can be established, so that the change relation among the related parameters can be further analyzed, and the association relation that the neighbor cells carry out data communication and influence the network signal data of the local small base station can be further judged. In some embodiments, the preset time period may be a period of time for which the mobile communication service has a periodicity rule, for example, the preset time period is 1 week, and the 5G bs may perform data statistics in units of 1 week. And then updating the analysis result according to the data obtained by the latest statistics.

In order to perform standardization processing on related data, a first feature set C1 is established in the embodiment of the present application, and elements of the set C1 are an ordered group formed by 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) >, … …, < Tn, (neighbor information n), (network signal data n) }.

Wherein T1, T2, … …, tn are different time periods within a preset period, and the time nodes reporting the neighbor cell information can be divided according to the time when the user terminal sends the request information to the 5G small cell. The neighbor cell information may be at least one of a frequency point, a TAC, a wireless power, an interference, etc., or may be a combination of several parameters among the foregoing related parameters. The network signal data may be either the reference signal received power or the received signal strength indication, or a combination of both.

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

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

In the embodiment of the application, in order to perform interference analysis, besides using network signal data such as RSSI, RSRP, etc., in some embodiments, user service data of data communication by the user terminal through the local small base station may be comprehensively used for analysis. The user service data comprises data such as user service type, transmission data size, transmission quality requirements (including packet loss rate, error rate, wireless power and the like), time delay, survival period and the like. In some embodiments, the user traffic types include various traffic types of voice traffic, video traffic, data traffic, and the like. By counting the results of success/failure of the service at different time points or time periods (e.g. in units of per hour) 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 usually related to the network interference situation, so the service success rate can reflect the interference situation of the base station to a certain extent. In addition, the service quality can be obtained through analyzing the user service data, and the service quality can reflect the interference condition of the base station to a certain extent. Similarly, the prior art may be used for the service success rate and the method for obtaining the service quality, which are not described in detail herein.

By analyzing the historical data in the preset time period, the time distribution of the user service of the user terminal for data communication through the local small base station can be obtained, the service types of different time distribution periods and corresponding communication quality data can be obtained, and by carrying out characterization processing on related data, the mapping relation between the service types and the communication quality data characteristics in the time distribution period can be established, so that the change relation between related parameters can be further analyzed, and the association relation that the data communication of the adjacent cell affects the communication quality data of the user service of the user terminal for data communication through the local small base station can be further judged. In some embodiments, the preset time period may be a period of time for which the mobile communication service has a periodicity rule, for example, the preset time period is 1 week, and the 5G bs may perform data statistics in units of 1 week. And then updating the analysis result according to the data obtained by the latest statistics.

In order to perform standardization processing on related data, a second feature set C2 is established in the embodiment of the present application, and elements of the set C2 are ordered groups formed by a second time distribution period, user service types 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) >, … …, < Sn, (traffic type n), (communication quality data n) }.

Wherein S1, S2, … …, sn are different time periods within a preset period, and may be divided according to a time period performed by a user service in which the user terminal performs data communication through the local femto. Wherein the service type may be at least one of a voice service, a video service, a data service, etc. The communication quality data may be one of a service success rate or a service quality, or may be a combination of both.

Furthermore, in some embodiments, it may further include: and obtaining the service distribution characteristics of the user terminal for data communication through the local small base station by analyzing the user service type in the second time distribution period. The main service types of the user terminal in different time periods are obtained through analysis of 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 user, the user terminal may exhibit a certain periodic rule in terms of service type distribution, for example, in the working period, there are more data services, and outside the working period, there are more language 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 the 5G small base station to further optimize resource allocation and parameter setting according to the usage rule of the user terminal.

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

the elements of the third feature set are ordered groups composed of a third time distribution period, neighbor 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 of data communication between a neighboring cell of a local small base station and data communication between a user terminal through the local small base station is required to be selected, and by comprehensively analyzing neighboring cell information, network signal data of the local small base station, service type and communication quality data of the user terminal in the overlapping time distribution period, a mapping relation between the neighboring cell information, the network signal data of the local small base station, the service type and the communication quality data of the user terminal in the time distribution period can be established, so that the change relation between related parameters can be further analyzed, and the association relation that the neighboring cell performs data communication to influence the communication quality of the user service of the user terminal performing data communication through the local small base station is further judged.

In order to perform standardization 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 elements of the set C3 are an ordered group formed by the third time distribution period, neighbor 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, (neighbor information_ts1), (network signal data_ts1), (traffic type_ts1), (communication quality data_ts1) >, < T2, (neighbor information_ts2), (network signal data_ts2), (traffic type_ts2), (communication quality data_ts2) >, … …, < TSn, (neighbor information_tsn), (network signal data_tsn), (traffic type_tsn), (communication quality data_tsn) }.

Wherein TSn (N e N, N is a natural number) is a distribution period where the first distribution period and the second distribution period overlap, neighbor information ts_n (N e N, N is a natural number) corresponding to the TSn period, network signal data ts_n (N e N, N is a natural number), service type_tsn (N e N, N is a natural number), communication quality data_tsn (N e N, N is a natural number), and the above data can be obtained from elements of the C1 and C2 sets through a mathematical operation algorithm, which is not described herein.

And step S104, 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 neighbor cell to the user service of the local small base station according to the mapping relation among the third time distribution time period, the neighbor cell information, the network signal data, the user service type and the communication quality data in the third feature set.

In the embodiment of the application, in order to perform interference analysis, the adjacent cell information, network signal data, service types and communication quality data obtained in different distribution time periods within a preset time period are counted and analyzed, and according to the mapping relation between the data, the interference degree, the distribution time period, the association relation and the interference type of the interference generated by the data communication performed in the adjacent cell in the time period to the user service of the local small base station are judged.

In some embodiments, the interference degree (for example, large interference or small interference) of the interference generated by the data communication performed by the neighbor cell on the user service of the local small base station may be determined according to the mapping relationship among the third time distribution period, the neighbor 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 comprehensively determined through 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 reference signal received power, received signal strength indication, service success rate, and quality of service.

In the embodiment of the present application, the determination of the interference level is mainly determined by comprehensively considering indexes such as reference signal received power (Reference Signal Receiving Power, RSRP), received signal strength indicator (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 power received on all REs (resource elements) carrying reference signals in a certain symbol, and is a key parameter representing the strength of a wireless signal, and the larger the value is, the better the value is. When the interference conditions of the base stations are different, the values of the RSRP are different, so that the RSRP can reflect the interference conditions of the base stations to a certain extent. The RSSI is a received signal strength indication, the value of which can be used for judging the current network coverage level, and the RSSI is a main index for judging interference, and the value of the RSSI is very small in an ideal state. When the interference conditions suffered by the base stations are different, the RSSI values will also be different, for example: under normal conditions, the RSSI at cell idle should therefore be around 99.5dBm, with mild interference when the RSSI is [ -99.5dBm, -90dBm ]. When the RSSI is at minus 90dBm to minus 75dBm, moderate interference exists, and when the value of the RSSI is above minus 75dBm, serious interference exists, so that the RSSI can reflect the interference condition of the base station to a certain extent. The service success rate can be reflected by one or two of the access success rate and the disconnection rate of the terminal. The success rate of access refers to the probability that the terminal can successfully access the network when performing services such as internet surfing, call making and the like, namely the ratio of the successful times of service establishment to the times of service establishment attempt; the disconnection rate refers to the probability of network interruption caused by accidents after the terminal is accessed to the network, namely the ratio of the disconnection times to the successful times of service establishment. The service success rate is generally related to the interference situation of the network, so the service success rate can reflect the interference situation of the base station to a certain extent. QoS refers to a measure of the overall performance of a service experienced by user terminals in a network. In the 5G mobile communication system, the metric of QoS may include transmission link bandwidth, packet transfer delay and jitter, packet loss rate, and the like. In general, the greater the interference, the worse the quality of service provided by the base station, and the lower the interference, the higher the quality of service provided by the base station, so the quality of service may reflect the interference situation of the base station to some extent. In the embodiment of the application, four indexes of the reference signal receiving power, the received signal strength indication, the service success rate and the service quality are selected, so that the interference condition of the base station is comprehensively judged, and the interference condition of the small base station can be reflected more accurately.

Further, the interference degree is determined by means of weighted summation by means of reference signal received power, received signal strength indication, service success rate and service quality. The four indexes can adopt different weights, then the interference indexes are calculated by using a weighted summation mode, the interference indexes are used for representing the interference degree of a local small base station, such as large interference, small interference or no interference, and the like, and the interference degree can be finely graded according to the interference degree, such as primary interference, secondary interference, tertiary interference, quaternary interference and the like. The specific partitioning method can be implemented by combining the prior art according to actual needs, which is not described in detail.

In some embodiments, the distribution period of the interference generated by the neighbor cell to the user service of the local small base station by the data communication can be determined according to the interference degree (such as large interference or small interference) of the interference generated by the neighbor cell to the user service of the local small base station by the data communication.

Specifically, when the interference degree is greater than a preset threshold, determining the distribution period as a distribution period in which the neighbor cell performs data communication to generate interference to the user service of the local small base station.

When the interference degree is greater than a preset threshold, the user terminal is influenced by the user service of the local small base station for data communication, and the time period is determined to be the distribution time period of the interference of the neighbor cell for the user service of the local small base station. The setting of the preset threshold value can be determined in combination with the communication requirement of the user service. And further judging the association relation and the interference type of the interference generated by the data communication to the user service of the local small base station in the adjacent cell in the distribution 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 of the interference generated by the data communication performed by the neighbor cell on the user service of the local small base station may be determined according to the mapping relationship among the third time distribution period, the neighbor cell information, the network signal data, the user service type, and the communication quality data in the third feature set.

Specifically, according to the neighbor cell information, determining an interference type of interference generated by the neighbor cell to the user service of the local small base station by data communication, wherein 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 neighbor cell performs data communication to interfere with the user service of the local small base station may be determined according to the mapping relationship between the third time distribution period, the neighbor cell information, the network signal data, the user service type, and the communication quality data in the third feature set.

Specifically, the association relation of the interference generated by the data communication of the neighbor cell to the user service of the local small base station is judged by a control variable method.

And performing variable control on each parameter in the neighbor cell information in the third feature set, namely selecting a time distribution period in which one or more parameters in the neighbor cell information are the same or similar but other parameters are different, and judging the association relationship between related parameters and interference degrees in the neighbor cell information by analyzing the interference degrees of the time distribution period to the time distribution period.

For example, when a frequency point, a TAC, a radio power, and one or more of interference data in the neighbor cell information are similar, and one or more other data have a larger difference, but the service types of the user terminals are the same, and the network signal and the communication quality have a significant difference, the data with a larger difference in the neighbor cell information can be judged, the network signal and the communication quality may be affected, and the association relationship between the relevant parameters and the interference degree in the neighbor cell information is determined.

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

When the method is implemented, an interference model is required to be constructed in advance based on the BP neural network model, and then the interference degree, the distribution period, the association relation and the interference type of interference generated by data communication of the neighbor cell to the user service of the local small base station are judged according to the distribution 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 construction process of the interference model includes:

(1) For any small base station, statistics is carried out on historical data of the small base station, and a training data set is constructed according to the historical data. Any piece of training data in the training data set comprises a distribution period, neighbor 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, the corresponding changes of the reference signal receiving power and the receiving signal strength indication of the local small base station are obtained from the historical data, and then the corresponding user service type and communication quality data are obtained, and in the process of constructing the training set, the data can be manually processed to mark the interference degree, the association relation and the interference type, so that training data comprising input and output are formed.

(2) And inputting the training data set into a BP neural network model for training, and taking the obtained model as an interference model when the output error of the BP neural network model meets the preset precision. 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 conduct interference prediction.

Correspondingly, after the interference model is obtained, as an example, the steps of determining the interference degree, the distribution period, the association relationship and the interference type of the interference generated by the data communication of the neighbor cell to the user service of the local small base station include:

(1) Acquiring reference signal receiving power, receiving 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) According to the interference degrees of different time periods, determining a time period with the interference degree larger than a preset threshold as a distribution time period during which data communication is carried out on a neighboring cell to generate interference to user services of a local small base station;

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

(4) And inputting the neighbor 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 association relation and the interference type of interference under different conditions.

Step 105, based on the interference degree, the distribution period, the association relation and the interference type of the interference generated by the data communication of the neighbor cell to the user service of the local small base station, the working parameters of the local small base station for the data communication of the user terminal are adjusted according to the preset anti-interference strategy 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 transmit power of the base station, the pilot power of the base station, the TAC value at which the base station operates, qoS parameters for different user traffic types, RB locations allocated by different user terminals, etc. In some embodiments, the operational parameters that may be adjusted may also include other wireless resources, such as: transmit antennas, transmit time slots, transmit channels or transmit 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 cell transmitter is rated, the pilot power occupies a large proportion, and the power of other downlink channels is reduced, thereby affecting the traffic supported by the pilot power. Specifically, the pilot power increases, the coverage area increases, and the supported service capability decreases; correspondingly, the pilot power decreases, the coverage area decreases, and the supported traffic capacity increases. Thus, different traffic scenarios can be handled by adjusting the pilot power. Timing Advance (TA) is used for uplink transmission of the terminal, and the terminal sends out the data packet according to the corresponding instruction in Advance by corresponding time. Timing advance commands (Timing Advance Command, TAC), also known as synchronization command words, are information indicating time alignment commands sent from a base station to a terminal in order to maintain uplink time alignment. The base station informs the terminal of the timing advance time, namely the TA value, by sending the TAC to the terminal. The QoS technology can allocate bandwidth for various services in balance under the condition of limited bandwidth resources, and provides end-to-end service quality assurance for various services according to different requirements of the services. In the embodiment of the present application, priorities may also be preset for different user service types, and different service types may be set for different priorities, and then, according to service distribution period information, when a service busy period causes network congestion, different service types may be processed according to the preset priorities.

When the small base station is in different interference scenes and business scenes, the corresponding working parameters can be adjusted to realize the purpose of providing the service which can meet the business communication quality requirements of the user for the user terminal.

In an embodiment provided in the present application, according to a preset anti-interference policy, the working parameters of the local small base station for performing data communication for the user terminal are adjusted to meet the communication requirement of the user service, which specifically includes:

The corresponding operating parameters can be adjusted based on the interference level to meet the communication requirements of the user service. If the interference degree of the local small base station is higher at the current moment and the interference is serious, part of the wireless resources are closed to reduce the interference. The interference degree can be comprehensively determined by indexes such as reference signal received power, received signal strength indication, service success rate, service quality and the like as described above. The interference level may be determined by at least one of a reference signal received power, a received signal strength indication, a traffic success rate, and a quality of service. Or by the above-mentioned index in a weighted sum.

Specifically, if the interference of the local small base station at the current time is larger according to the interference distribution time 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 the user service is improved; at this time, the adjustable operating parameters may include other radio resources besides the transmit power, such as: transmit antennas, transmit time slots, transmit channels or transmit subcarriers, etc.

In some embodiments, the corresponding operating parameters may also be adjusted based on the interference type to meet the communication needs of the user traffic. If the current interference type is the same-frequency interference, adjacent-frequency 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, related interference is avoided and reduced as much as possible, and further, user experience can be further improved through technical means such as cell fission.

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

Further analyzing service distribution time periods of 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 service types of each user, time distribution of service volumes of service types of each user, time distribution of all service volumes, service success rate, service failure reasons and the like within 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 distribution period in the specific user service set, and the communication quality of the user service.

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

By the method, the association relationship between related parameters and interference degree in the neighbor cell information can be judged by controlling the variables of the parameters in the neighbor cell information. When a frequency point, a TAC, wireless power and interference in adjacent cell information are similar to one or more items of data, and other items or items of data have larger differences, but the service types of the user terminals are the same, and the network signals and the communication quality have obvious differences, the data with larger differences in the adjacent cell information can be judged, the network signals and the communication quality can be influenced, and the association relation between related parameters and the interference degree in the adjacent cell information is determined. And further, according to the association relation, corresponding working parameters are adjusted to meet the communication requirements of user services. The adjustment mode can further provide data accumulation for subsequent better parameter adjustment through manual labeling or algorithm long-term learning.

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

Based on historical data, the BP neural network algorithm can further analyze the 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 the user terminal for data communication through the local small base station. 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 data communication for the user terminal can be optimized, and a better adjustment scheme for improving the communication quality of the user service can be fitted through long-term data accumulation. The BP neural network algorithm is used to optimize the process of adjusting the working parameters of the local small cell for data communication for the user terminal, so as to achieve the purpose of improving the communication quality of the user service, and the specific principle of the process of adjusting is described above and is not repeated.

In an embodiment provided in the present application, according to a preset anti-interference policy, the working parameters of the local small base station for performing data communication for the user terminal are adjusted to meet the communication requirement of the user service, and the method further includes:

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

If the local small base station is in the service leisure time period at the current time, or the network communication quality is better, the network resource occupation is less, and part of the wireless resources can be closed on the basis of meeting the communication requirement of the current user service so as to reduce the power consumption of the base station; specifically, if the service amount of the local small base station at the current time is smaller according to the service distribution time period information, for example, the service amount is usually smaller in the period from night to early morning, or no network interference condition exists, the system can be subjected to volume reduction processing, and part of resources are closed, so that the working parameters of the local small base station are further adjusted on the premise of meeting the communication requirement of the current user service, the power consumption of the small base station is reduced, and the effects of saving electricity, saving energy and protecting environment are achieved, such as reducing the transmitting power, closing part of transmitting antennas and the like. At this time, the adjustable operating parameters may include other radio resources besides the transmit power, such as: transmit antennas, transmit time slots, transmit channels or transmit subcarriers, etc.

If the local small base station is in the service 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 service volume at the current time is larger according to the service distribution period information, each working parameter can be adjusted, such as improving the transmitting power, improving the scheduling period, adopting the optimal RB resources and transmission channels, reducing the pilot frequency power, dynamically adjusting the number of users scheduled by the TTI, and the like, the adjustment of each parameter is matched with each other, the adjustment of each parameter is integrated to reach the balance processing requirement, the service can be provided quickly, and the user terminal can complete the service as soon as possible.

In a preferred embodiment provided by the application, a BP neural network algorithm is used, and 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 achieve the purpose of adjusting the small base station power consumption while meeting the communication requirement of the user service.

Through BP neural network algorithm, based on historical data, the detailed information such as user service distribution time period, time distribution of each user service type traffic volume, time distribution of all traffic volumes and the like of the user terminal for data communication 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 realize the purpose of adjusting the power consumption of the small base station while meeting the communication requirement of user service. 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 data communication of the user terminal can be optimized, and after long-term data accumulation, more optimal fitting can be achieved, so that the adjustment scheme for reducing the power consumption of the small base station as much as possible while meeting the communication requirements of user services is realized. The BP neural network algorithm is used to optimize the process of adjusting the working parameters of the local small base station for 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 the user service, and the specific principle of the process of adjusting is described above and is not repeated.

In the embodiment of the application, the working parameters of the local small base station are adjusted by using the interference distribution time period information and the service distribution time period information, and the core idea is to provide matched services for the user terminal according to the current interference condition and service condition of the local small base station so as to reasonably allocate system resources aiming at different scenes and control the 5G small base station to work in different working states, thereby providing more efficient and targeted services for the user terminal, reducing the power consumption and the 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 the intelligent control method of the 5G femto cell of the present application. Compared with the embodiment shown in fig. 1, the intelligent control method for the 5G small cell further comprises the following steps:

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

And then when the 5G small base station provides wireless resources or services for the user terminal, the small base station can refer to neighbor information and network signal data in the request information, and adjust working parameters of the small base station according to a preset anti-interference strategy and an anti-interference strategy which is continuously optimized through a BP neural network algorithm.

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

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

Of course, when the 5G femto provides radio resources or services for the ue, other user service data, such as data of transmission data size, transmission quality requirements (including packet loss rate, bit error rate, radio power, etc.), delay, survival period, etc., may also be referred to, which is not described herein.

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

Step S202, current resource data of the local small base station is obtained, wherein the resource data comprises wireless resources, software resources, hardware resources, operation resources and operation states.

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

The 5G protocol software comprises a CU/DU architecture and a scheduling policy, wherein the scheduling policy comprises access threshold, scheduling period, preemption, priority and other policies. CU (Centralized Unit), mainly includes non-real time wireless higher layer protocol stack functions, while also supporting the sinking of part of core network functions and deployment of edge application services. DU (Distributed Unit), layer 2 function mainly handles physical layer functions and real-time requirements. Considering saving transmission resources between RRU and DU, part of the physical layer functions may also be moved up to RRU implementation. The hardware mainly comprises a CPU, a memory, an accelerator card and the like, and correspondingly, the hardware resources acquired in the step S102 can be the change information of each hardware, such as the change condition of the CPU and the memory, in the continuous access and release process of 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 quantity and the like; the quality of service characteristics include quality of service (QoS), traffic, bearer, etc., where EPS bearers can be classified as GBR/Non-GBR according to user traffic demand and QoS.

When the 5G small cell provides service for the user terminal, the current state parameter of the 5G small cell can be obtained, and then the resource parameter is configured for the user terminal by combining the current state of the 5G small cell. Specifically, at a certain moment, the state parameters of the 5G small cell may include information such as the state parameters of the 5G protocol software, the state parameters of the hardware resources, the state parameters of the radio resources, the currently running resources and the running state.

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 OAM (operation administration maintenance) module, a platform module (hardware and operating system), a CU-DU architecture, and an intelligent management module, where the intelligent management module is configured to execute the 5G small base station intelligent control method 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 architecture, can acquire wireless resources of the 5G small base station when communicating with the OAM module, can acquire hardware resources and software resources of the 5G small base station when communicating with the platform module, and can acquire real-time operation resources and operation states of the 5G small base station when communicating with the CU.

Step S203, configuring resource parameters for the terminal user according to the neighbor cell information, network signal data, user service data and the resource data, where the resource parameters include radio resource parameters, and the radio resource parameters include one or more of RB, frequency band, quality of service, and radio power.

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

Such as: when a certain user terminal requests a 1G data service in a certain time period, that is, when the user service data is the data service of the request 1G, the intelligent management module in the embodiment of the application comprehensively decides to give the optimal access point of the 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 wireless resource, the interference condition of each RB and the like, and allocates an access parameter for the user terminal, wherein the access parameter is a resource parameter which comprises parameters such as the RB position, the QoS parameter of the terminal, the block error rate, the period of scheduling time and the like, and prepares a corresponding transmission channel for the user terminal.

Compared with the prior art, the intelligent control method for the 5G small base station acquires the neighbor cell information, the network signal data and the user service data in the request information when the 5G small base station receives the request information of the user terminal, acquires the current resource data of the local small base station, wherein the resource data comprises wireless resources, software resources, hardware resources, operation resources and operation states, and configures resource parameters for the user terminal according to the neighbor cell information, the network signal data and the user service data and the resource data, so that the resource is flexibly allocated to 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 a 5G small cell intelligent control device 100, which includes an acquisition module 10, an analysis module 12, and an adjustment module 14. Specific:

an acquisition module 10 for acquiring the first time distribution of data communication of the neighbor cells of the local small base station based on the historical data, neighbor cell information and network signal data characteristics of the local small base station in the corresponding time distribution,

And the user terminal based on the historical data performs the second time distribution of the user service of the 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 for establishing a first feature set, wherein elements of the first feature set are an ordered group consisting of a first time distribution period, neighbor information within the first time distribution period, and network signal data,

the method is also used for establishing a third feature set, and selecting overlapping time distribution time periods of the first time distribution and the second time distribution as third time distribution time periods, wherein elements of the third feature set are ordered groups consisting of third time distribution time periods, neighbor cell information in the third time distribution time periods, network signal data, user service types and communication quality data;

and the method is also used for 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 neighbor cell to the user service of the local small base station according to the mapping relation among the third time distribution time period, the neighbor cell information, the network signal data, the user service type and the communication quality data in the third feature set.

The adjustment module 14 is configured to adjust working parameters of the local small base station for data communication for the user terminal according to a preset anti-interference policy, so as to meet communication requirements of the user service, based on an interference degree, a distribution period, an association relationship and an interference type of the interference generated by the data communication of the neighboring cell to the user service of the local small base station.

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

(1) When the network signal data characteristic and/or the communication quality data characteristic are inferior to the communication requirement of the user service, adjusting the working parameters of the local small base station for data communication for the user terminal so as to achieve the aim of adjusting the communication quality of the user service, 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, the working parameters of the local small base station for data communication for the user terminal are adjusted so as to achieve the purpose 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 frequency power, a transmitting antenna and a transmission time slot.

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

the first data acquisition module acquires 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 acquires current resource data of the local small base station, wherein the resource data comprises wireless resources, software resources, hardware resources, operation resources and operation states;

Correspondingly, the adjustment module 14 is further configured to configure resource parameters for the end user according to the neighbor 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 RB, frequency band, quality of service, and radio power.

When the 5G small base station receives the request information of the user terminal, the neighbor cell information, the network signal data and the user service data in the request information are acquired, the current resource data of the local small base station is acquired, the resource data comprise wireless resources, software resources, hardware resources, operation resources and operation states, and then the resource parameters are configured for the user terminal according to the neighbor cell information, the network signal data, the user service data and the resource data, so that the resource is flexibly allocated 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, including a memory and a processor, where the memory stores a computer program, where the computer program when executed by the processor causes the processor to implement the steps of the base 5G small base station intelligent control method described in embodiment 1 or embodiment 2.

Example 5

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

It will be appreciated by those skilled in the art that 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 the like) 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 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 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 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. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.

Claims

1. The intelligent control method of the 5G small base station is characterized by comprising the following steps of:

the method further comprises the steps of optimizing the process of judging the interference degree, the distribution period, the association relation and the interference type of the interference generated by the data communication of the neighbor cell to the user service of the local small base station by using a BP neural network algorithm;

2. The intelligent control method of a 5G small cell according to claim 1, wherein the adjusting the working parameters of the local small cell for data communication for the user terminal according to the preset anti-interference policy, so as to meet the communication requirement of the user service, specifically comprises:

3. The intelligent control method of the 5G small base station according to claim 2, wherein a BP neural network algorithm is used to optimize the process of adjusting the working parameters of the local small base station for data communication for the user terminal, so as to achieve the purpose of adjusting the communication quality of the user service.

4. The intelligent control method of a 5G small cell according to claim 1, wherein the adjusting the working parameters of the local small cell for data communication for the user terminal according to the preset anti-interference policy, so as to meet the communication requirement of the user service, further comprises:

5. The intelligent control method of the 5G small base station according to claim 4, wherein the BP neural network algorithm is used for optimizing the process of adjusting the working parameters of the local small base station for data communication for the user terminal so as to realize the purpose of adjusting the power consumption of the small base station while meeting the communication requirement of user service.

6. The intelligent control method of a 5G small cell according to claim 1, wherein the intelligent control method of a 5G small cell further comprises the steps of:

7. An intelligent control device for a 5G small cell, comprising:

the method is also used for optimizing the process of judging the interference degree, the distribution period, the association relation and the interference type of the interference generated by the data communication of the neighbor cell to the user service of the local small base station by using the BP neural network algorithm; and the adjusting module is used for adjusting working parameters of the local small base station for the user terminal to perform data communication according to a preset anti-interference strategy so as to meet the communication requirement of the user service based on the interference degree, the distribution 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 base station.

8. A 5G cell comprising a memory and a processor, wherein the memory stores a computer program which, when executed by the processor, causes the processor to implement the steps of the intelligent control method of a 5G cell as claimed in any one of claims 1 to 6.

9. A computer readable storage medium, characterized in that the storage medium has stored therein computer executable instructions which, when executed by a processor, implement the steps of the 5G small cell intelligent control method according to any of claims 1 to 6.