CN114786268A

CN114786268A - Data transmission bandwidth adjusting method and device, electronic equipment and storage medium

Info

Publication number: CN114786268A
Application number: CN202210486673.7A
Authority: CN
Inventors: 何人鑫; 原振升; 张俊新; 周丹; 邓玲; 李兆奇; 薛强; 段飞; 韩纬禧; 曾楚轩
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2022-05-06
Filing date: 2022-05-06
Publication date: 2022-07-22

Abstract

The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for adjusting a data transmission bandwidth, an electronic device, and a storage medium, where the method includes: acquiring historical service data of each base station in a last preset period, establishing a data analysis model based on the historical service data, and predicting transmission bandwidth requirements based on the data analysis model; matching with a predefined base station energy-saving mode based on the transmission bandwidth requirement to obtain a matching result; and determining a bandwidth adjustment strategy based on the matching result, and adjusting the transmission bandwidth by using the bandwidth adjustment strategy. Therefore, the energy-saving mode of the base station and the bandwidth adjusting strategy can be combined, the bandwidth requirements of the base station and the transmission network are comprehensively considered, the adjusting accuracy is improved, the transmission bandwidth is adjusted in real time through the bandwidth adjusting strategy, the utilization rate of the transmission bandwidth is improved, and the resource waste is reduced.

Description

Data transmission bandwidth adjusting method and device, electronic equipment and storage medium

Technical Field

The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for adjusting a data transmission bandwidth, an electronic device, and a storage medium.

Background

With the development of communication technology, the intelligent energy consumption management of a mobile network can realize functions of intelligent selection of energy-saving strategies, automation of parameter configuration, effect evaluation and the like, wherein an operator can reduce the operation cost of the operator through the energy-saving strategies of communication equipment, the energy-saving scheme of a base station mainly utilizes an Artificial Intelligence (AI) algorithm to model historical service data after collecting service data, carries out service prediction on the base station through a service volume model, and formulates a differentiated energy-saving strategy for the base station according to service prediction results.

In the prior art, after the base station adopts an energy-saving scheme based on the service data, the method of allocating the fixed bandwidth is adopted for the service signals carried by the transmission network, that is, the network bandwidth is fixedly allocated according to the possible maximum bit rate of the service signals, so that the service signals are not lost in the transmission process.

However, in the above method, a fixed bandwidth is allocated to the service signal according to the maximum bit rate possible, so that the utilization rate of the transmission bandwidth is low, and the resource waste of the bandwidth is caused.

Disclosure of Invention

The application provides a data transmission bandwidth adjusting method, a data transmission bandwidth adjusting device, an electronic device and a storage medium, which can improve the utilization rate of transmission bandwidth and reduce the resource waste of the bandwidth.

In a first aspect, the present application provides a method for adjusting data transmission bandwidth, where the method includes:

acquiring historical service data of each base station in a last preset period, establishing a data analysis model based on the historical service data, and predicting transmission bandwidth requirements based on the data analysis model;

matching with a predefined base station energy-saving mode based on the transmission bandwidth requirement to obtain a matching result;

and determining a bandwidth adjustment strategy based on the matching result, and adjusting the transmission bandwidth by using the bandwidth adjustment strategy.

Optionally, establishing a data analysis model based on the historical service data, and predicting a transmission bandwidth demand based on the data analysis model, includes:

for each base station, preprocessing the acquired historical service data, and fitting the historical service data in the last preset period based on a neural network model to obtain a data analysis model; the historical service data comprises the number of cells in the coverage area of the base station, the number of users and corresponding bandwidth requirements;

and predicting the transmission bandwidth requirement of each base station in the next period by using the data analysis model.

Optionally, matching the transmission bandwidth requirement with a predefined base station energy saving mode to obtain a matching result, where the matching result includes:

aiming at the transmission bandwidth requirement of each base station, matching with a predefined base station energy-saving mode based on the scale, the carried service type, the area, the application scene and the coverage area of the base station; the predefined base station energy-saving modes comprise symbol turning-off, channel turning-off, carrier turning-off, cell turning-off and deep sleep;

and calculating a bandwidth threshold corresponding to each base station energy-saving mode based on the matching result, and calculating to obtain a bandwidth reference value by using the bandwidth threshold and the transmission bandwidth requirement.

Optionally, determining a bandwidth adjustment policy based on the matching result, and adjusting the transmission bandwidth by using the bandwidth adjustment policy, including:

performing bandwidth demand analysis based on the matching result, and determining a bandwidth adjustment strategy;

acquiring bandwidth configuration information corresponding to the bandwidth adjustment strategy, and judging whether the bandwidth configuration information meets the bandwidth requirement of the current network node;

if so, executing the bandwidth adjustment strategy;

and if not, continuing to execute the initial bandwidth execution strategy.

Optionally, the method further includes:

after the bandwidth adjustment strategy is used for adjusting the transmission bandwidth, acquiring monitoring data corresponding to each base station; the monitoring data comprises service monitoring data of a base station and bandwidth resource monitoring data of a network node;

for each base station, judging whether the bandwidth after executing the bandwidth adjustment strategy meets a preset condition or not based on the monitoring data corresponding to the base station;

if not, triggering an error checking mechanism, adjusting the currently executed bandwidth adjustment strategy based on the type of the monitoring data, and executing the adjusted bandwidth adjustment strategy.

Optionally, adjusting the currently executed bandwidth adjustment policy based on the type of the monitored data includes:

when the monitoring data is service monitoring data of a base station, adjusting the currently executed bandwidth adjustment strategy based on the service required bandwidth value in the service monitoring data;

and when the monitoring data is bandwidth resource monitoring data of the network node, adjusting the currently executed bandwidth adjustment strategy based on the transmission bandwidth value in the bandwidth resource monitoring data.

Optionally, adjusting the currently executed bandwidth adjustment policy based on the service bandwidth demand value in the service monitoring data includes:

when the service demand bandwidth value in the service monitoring data is smaller than a certain proportion of bandwidth value corresponding to the currently executed bandwidth strategy, releasing the bandwidth threshold value corresponding to the base station;

and when the service demand bandwidth value in the service monitoring data is larger than the bandwidth value corresponding to the currently executed bandwidth strategy, determining to adjust the transmission bandwidth range according to the difference value between the service demand bandwidth value and the bandwidth value corresponding to the currently executed bandwidth strategy.

Optionally, determining to adjust the range of the transmission bandwidth according to a difference between the bandwidth value required by the service and the bandwidth value corresponding to the currently executed bandwidth policy, where the determining includes:

when the difference value between the bandwidth value of the service requirement and the bandwidth value corresponding to the currently executed bandwidth strategy is smaller than a first threshold value, increasing the transmission bandwidth to be X times of the bandwidth value of the service requirement;

when the difference value between the service demand bandwidth value and the bandwidth value corresponding to the currently executed bandwidth strategy is larger than a first threshold value and smaller than a second threshold value, increasing the transmission bandwidth to be Y times of the service demand bandwidth value;

when the difference value between the bandwidth value of the service requirement and the bandwidth value corresponding to the currently executed bandwidth strategy is larger than a second threshold value, increasing the transmission bandwidth to be Z times of the bandwidth value of the service requirement;

wherein X is less than Y and Y is less than Z.

Optionally, adjusting the currently executed bandwidth adjustment policy based on the transmission bandwidth value in the bandwidth resource monitoring data includes:

when the transmission bandwidth value in the bandwidth resource monitoring data is larger than a third threshold value, terminating the current bandwidth adjustment strategy and executing an initial bandwidth execution strategy;

when the transmission bandwidth value in the bandwidth resource monitoring data is smaller than a third threshold value and larger than a fourth threshold value, increasing the transmission bandwidth to be N times of a bandwidth reference value;

when the transmission bandwidth value in the bandwidth resource monitoring data is smaller than a fourth threshold value and larger than a fifth threshold value, increasing the transmission bandwidth to be M times of a bandwidth reference value;

wherein M is larger than N, and M and N are both smaller than 1.

Optionally, the method further includes:

when the number of times of triggering the error checking mechanism reaches a preset number, calling back a bandwidth adjusting strategy corresponding to the base station to an initial bandwidth executing strategy;

and after the initial bandwidth execution strategy is executed to reach a preset period, determining whether the transmission bandwidth needs to be adjusted again based on the historical service data in the preset period.

In a second aspect, the present application provides an apparatus for adjusting data transmission bandwidth, the apparatus comprising:

the prediction module is used for acquiring historical service data of each base station in the last preset period, establishing a data analysis model based on the historical service data, and predicting the transmission bandwidth requirement based on the data analysis model;

the matching module is used for matching with a predefined base station energy-saving mode based on the transmission bandwidth requirement to obtain a matching result;

and the adjusting module is used for determining a bandwidth adjusting strategy based on the matching result and adjusting the transmission bandwidth by utilizing the bandwidth adjusting strategy.

In a third aspect, the present application provides an electronic device, comprising: a processor, a memory, and a computer program; wherein the computer program is stored in the memory and configured to be executed by the processor, the computer program comprising instructions for performing the data transmission bandwidth adjustment method of any of the first aspects.

In a fourth aspect, the present application provides a computer-readable storage medium storing computer-executable instructions for implementing the data transmission bandwidth adjusting method according to any one of the first aspect when the computer-executable instructions are executed by a processor.

In summary, the present application provides a method, an apparatus, an electronic device, and a storage medium for adjusting data transmission bandwidth, which can establish a data analysis model based on historical service data by obtaining the historical service data of a base station, and predict a transmission bandwidth requirement based on the data analysis model; furthermore, the transmission bandwidth requirement is matched with a predefined base station energy-saving mode, a bandwidth adjustment strategy is determined by using a matching result, and then the transmission bandwidth can be adjusted in real time by using the bandwidth adjustment strategy. Therefore, the energy-saving mode of the base station and the bandwidth adjusting strategy can be combined, the bandwidth requirements of the base station and the transmission network are comprehensively considered, the adjusting accuracy is improved, the transmission bandwidth is adjusted in real time through the bandwidth adjusting strategy, the utilization rate of the transmission bandwidth is improved, and the resource waste is reduced.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.

Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application;

fig. 2 is a schematic diagram of a framework of a data transmission bandwidth adjustment method according to an embodiment of the present application;

fig. 3 is a schematic flowchart of a method for adjusting a data transmission bandwidth according to an embodiment of the present application;

fig. 4 is a schematic flowchart of a base station energy saving adjustment module according to an embodiment of the present disclosure;

fig. 5A is a schematic configuration diagram of a transmission bandwidth requirement according to an embodiment of the present application;

fig. 5B is a schematic configuration diagram of an energy saving mode of a base station according to an embodiment of the present application;

fig. 6 is a schematic diagram of a bandwidth adjustment control provided in an embodiment of the present application;

fig. 7 is a schematic structural diagram of a method for dynamically adjusting a transmission bandwidth based on an energy saving mode of a base station according to an embodiment of the present application;

fig. 8 is a schematic flowchart illustrating the operation of an error checking and correcting module according to an embodiment of the present disclosure;

FIG. 9 is a schematic diagram illustrating an operation of an error checking mechanism according to an embodiment of the present application;

fig. 10 is a schematic flowchart of a specific data transmission bandwidth adjustment method according to an embodiment of the present application;

fig. 11 is a schematic structural diagram of a data transmission bandwidth adjusting apparatus according to an embodiment of the present application;

fig. 12 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Specific embodiments of the present application have been shown by way of example in the drawings and will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

In order to facilitate clear description of technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish identical items or similar items with substantially the same functions and actions. For example, the first device and the second device are only used for distinguishing different devices, and the order of the devices is not limited. Those skilled in the art will appreciate that the terms "first," "second," etc. do not denote any order or quantity, nor do the terms "first," "second," etc. denote any order or importance.

It is noted that, in the present application, words such as "exemplary" or "for example" are used to mean exemplary, illustrative, or descriptive. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.

In this application, "at least one" means one or more, "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a alone, A and B together, and B alone, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of the singular or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.

Embodiments of the present application will be described below with reference to the accompanying drawings. Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application, and a method for adjusting a data transmission bandwidth provided in the present application may be applied to the application scenario shown in fig. 1. The application scenario includes: base station 1, base station 2, terminal equipment 101, terminal equipment 102, terminal equipment 103, terminal equipment 104 in the coverage of base station 1, terminal equipment 105 and terminal equipment 106 in the coverage of base station 2, SD-OTN cooperative controller 107, wherein, the uplink data of all terminal devices are transmitted to an intelligent transmission Network (SD-OTN) formed by an Optical Transport Network (OTN) based on a Software Defined Network (SDN), the SD-OTN has the characteristics of flexible bandwidth, low delay, high reliability, etc., and then the SD-OTN cooperative controller 107 reversely transmits data to the base station to which the data receiving terminal device belongs, and the data is transmitted from the base station to the receiving terminal device, therefore, the existing data transmission method needs to shuttle between the radio base station and the transmission management center (transmission network).

Specifically, for example, when the terminal device 101 dials a video call to the terminal device 105, and at this time, idle bandwidth resources exist in an executed bandwidth execution policy, the SD-OTN cooperative controller 107 may predict a transmission bandwidth required for making a video call based on service data of the base station 1 and the base station 2 in the last week, further, find an energy saving mode matched with the base station 1 and the base station 2 based on the required transmission bandwidth, determine a bandwidth adjustment policy corresponding to the energy saving mode, and adjust the transmission bandwidth in the currently executed bandwidth execution policy by using the bandwidth adjustment policy, so that the bandwidth resources are fully utilized.

It can be understood that, no matter whether the terminal device performs data transmission to the terminal device within the coverage of the same base station, or performs data transmission to the terminal device within the coverage of different base stations, or performs data transmission to a network platform, such as browsing a web page of a certain platform, the method is similar to the above method, and is not described herein again.

It should be noted that, in the embodiment of the present application, the number of terminal devices covered by each base station is not specifically limited, and the above is only an example.

Optionally, the Base Station may be a Base Station (BTS) and/or a Base Station Controller in Global System for Mobile communications (GSM) or Code Division Multiple Access (CDMA), a Base Station (NodeB, NB) and/or a Radio Network Controller (RNC) in Wideband Code Division Multiple Access (WCDMA), an evolved Node B (eNB, eNodeB) in Long Term Evolution (Long Term Evolution), a relay Station or an Access point, or a Base Station (gbb) in a future 5G Network, and the like, and the present application is not limited thereto.

The terminal device may be a wireless terminal or a wired terminal. A wireless terminal may refer to a device that provides voice and/or other traffic data connectivity to a user, a handheld device having wireless connection capability, or other processing device connected to a wireless modem. A wireless terminal, which may be a mobile terminal such as a mobile telephone (or "cellular" telephone) and a computer having a mobile terminal, for example, a portable, pocket, hand-held, computer-included, or vehicle-mounted mobile device, may communicate with one or more core Network devices via a Radio Access Network (RAN), and may exchange language and/or data with the RAN. For another example, the Wireless terminal may also be a Personal Communication Service (PCS) phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA), and other devices. A wireless Terminal may also be referred to as a system, a Subscriber Unit (Subscriber Unit), a Subscriber Station (Subscriber Station), a Mobile Station (Mobile), a Remote Station (Remote Station), a Remote Terminal (Remote Terminal), an Access Terminal (Access Terminal), a User Terminal (User Terminal), a User Agent (User Agent), and a User Device or User Equipment (User Equipment), which are not limited herein. Optionally, the terminal device may also be a smart watch, a tablet computer, or the like.

In The prior art, an operator may reduce its own operating cost through an energy saving policy of a Communication device, and a base station energy saving scheme mainly automatically collects historical traffic data such as traffic, performance data, operation indexes, alarm data, and The like of a fourth Generation Mobile Communication and a Technology thereof (The 4th Generation Mobile Communication Technology, abbreviated as 4G)/fifth Generation Mobile Communication Technology (The 5th Generation Mobile Communication Technology, abbreviated as 5G) base station, the base station is managed in a grading way according to the properties of the scene, the area and the base station, the AI algorithm is utilized to model historical service volume data, the service of the base station is predicted through a service volume model, and then, a differentiated energy-saving strategy is made for the base station according to the service prediction result, the energy-saving strategy is automatically generated, and the base station is issued through an instruction, so that the energy-saving requirement on the base station is met.

Furthermore, after the base station adopts an energy-saving scheme based on the service data, the method for allocating the fixed bandwidth is adopted for the service signal carried by the transmission network, namely, the network bandwidth is fixedly allocated according to the possible maximum bit rate of the service signal, so that the service signal is reduced and cannot be lost in the transmission process. However, the fixed bandwidth allocated by the transmission network is not usually the maximum rate in actual transmission, so that various scenarios can be applied by allocating the fixed bandwidth to the traffic signal according to the maximum rate possible.

However, a fixed bandwidth is allocated to the service signal according to the maximum rate possible, and since the service signal is dynamically changed, the bit rate of the service signal is often smaller than the fixed bandwidth of the transmission network, which causes resource waste of the bandwidth and makes the utilization rate of the transmission bandwidth lower.

It should be noted that, although an operator may schedule bandwidth resources based on a SD-OTN cooperative controller in the prior art, a bandwidth adjustment scheme of a transmission network of the operator still uses a static configuration method at present, that is, a network bandwidth value is determined directly according to a service scene, a base station area, and a base station type to perform corresponding transmission bandwidth configuration, and the bandwidth adjustment scheme is not combined with an intelligent energy saving scheme of a base station, so that comprehensive consideration is performed, and the accuracy of bandwidth adjustment is still low.

In view of the above, the present application provides a data transmission bandwidth adjustment method, which may construct a model based on a service data change of a base station, analyze a bandwidth requirement on a transmission bandwidth of a service signal of the base station using the model, indirectly determine a transmission bandwidth requirement of the service signal of the base station, further match a base station energy saving policy according to different transmission bandwidth requirements, accurately calculate bandwidth requirements corresponding to different energy saving policies, and further determine a bandwidth of a transmission network, and effectively adopt a dynamic adjustment policy on the transmission network bandwidth in combination with a transmission characteristic of the transmission network, so as to achieve double linkage of the base station energy saving policy and the transmission bandwidth dynamic adjustment policy, thereby improving a transmission bandwidth utilization rate and reducing resource waste.

With the continuous development of digitalization and intellectualization of a mobile network, the technical scheme of a big data technology, an intelligent ammeter, artificial intelligence and the like is combined, the intelligent energy consumption management of the mobile network can realize the selection of the energy-saving strategy of the wireless base station, and further, according to the selection of the energy-saving strategy of the wireless base station, the comprehensive network management monitoring data of the base station and the performance index of the transmission equipment are combined, the matching model of the energy-saving mode and the transmission bandwidth of the base station can be set up, and the linkage of the transmission equipment and the energy-saving strategy of the wireless base station is realized.

Specifically, fig. 2 is a schematic diagram of a frame of a data transmission bandwidth adjusting method provided in an embodiment of the present application, and as shown in fig. 2, a hardware facility of a base station processes a service signal sent by the base station and sends a processing result to a bandwidth analysis configuration module, where the bandwidth analysis configuration module adjusts a transmission bandwidth based on the processing result and sends the adjusted transmission bandwidth to a transmission device.

The method includes the steps that a plurality of Active Antenna Units (AAUs) in a Base station hardware facility collect service signals sent by a Base station, the service signals are sent to an indoor baseband processing Unit (BBU) for processing, further, the BBU sends processing results to a comprehensive network manager in a bandwidth analysis configuration module, the comprehensive network manager judges which corresponding preset interval the service quantity in the processing results is located in, and then corresponding energy-saving strategies are executed according to the judging results, a bandwidth analysis system can select an appropriate bandwidth adjustment strategy based on the energy-saving strategies to adjust transmission bandwidths and send the adjusted transmission bandwidths to transmission equipment, and the transmission equipment can reflect the adjusted results to the BBU so that the BBU can process the service signals according to the adjusted results.

It should be noted that the preset intervals may be divided into three, which are traffic < A, A < traffic < B and traffic > B, and the numerical value of A, B and the number of the divided preset intervals are not specifically limited in this embodiment, which is only an example.

The technical solution of the present application will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.

Fig. 3 is a schematic flowchart of a data transmission bandwidth adjustment method according to an embodiment of the present application; as shown in fig. 3, the method may include:

s301, obtaining historical service data of each base station in the last preset period, building a data analysis model based on the historical service data, and predicting transmission bandwidth requirements based on the data analysis model.

In this embodiment of the present application, the historical service data is used to express service data in a coverage area of the wireless base station in a previous preset period, where the service data includes the number of cells in the coverage area of the base station, the number of users, a corresponding bandwidth requirement, and the like, where the preset period may refer to a period that is set in advance and is corresponding to the collection of service data in a certain time range, for example, the preset period may be one week, 10 days, and the like, and this is not specifically limited in this embodiment of the present application.

In this step, the data analysis model may be a user tide model established based on historical service data, the user tide model may draw historical service data into a curve trend, and use waveforms appearing in the curve trend are used to predict the use situations of users in the wireless base station cell within a period of time, that is, the corresponding transmission bandwidth requirements may be predicted, where the period of time may be divided into a plurality of time windows, for example, different time periods within a day, and each time period corresponds to a different transmission bandwidth requirement.

For example, in the application scenario of fig. 1, taking the base station 1 as an example, the SD-OTN cooperative controller 107 may obtain historical service data of the base station 1, that is, the number of cells 1, the number of users 4, and bandwidth requirements corresponding to the

terminal devices

101 and 104 in the past week, and further, establish a user tide model based on the historical service data, and may predict the usage situation of the base station 1 in each time period in the future day, that is, the respective bandwidth requirements corresponding to the

terminal devices

101 and 104.

It should be noted that the base station service generally has obvious tidal effect, such as dividing into busy service and idle service according to time period, so that the user tidal model can be constructed according to the distribution characteristics of the service in time and the change of network load through the intelligent energy-saving algorithm.

S302, matching is carried out on the basis of the transmission bandwidth requirement and a predefined base station energy-saving mode, and a matching result is obtained.

In this step, the predefined base station energy saving mode refers to an intelligent energy saving scheme that takes some measures for reducing energy consumption of the network, including symbol turn-off, channel turn-off, carrier turn-off, cell turn-off, deep sleep, and the like; wherein, the symbol turn-off means that the power amplifier power supply is turned off at the moment of no effective data transmission; the channel is turned off, namely, the grid voltage of the power amplifier is intelligently turned off by the system according to the load condition of a cell in a specific time period; the carrier cut-off refers to that under the scene of different frequencies and same coverage, the different frequency cells with the same coverage are divided into basic cells and capacity cells, and then when the base station judges that the load of the whole cell is smaller than a set threshold, the base station enters a carrier cut-off mode, at the moment, the capacity cells forbid the access of new users and the cut-in of the users, simultaneously all the users of the capacity cells are migrated to the different frequency basic cells with the same coverage, and the carrier is cut off after no user exists; the cell shut-off means directly shutting off the carrier of the cell when the load and the number of users of the cell are lower than a certain threshold in an energy-saving time period; deep sleep refers to entering a sleep state without using the base station for a period of time.

For example, fig. 4 is a schematic flow diagram executed by a base station energy saving adjustment module according to an embodiment of the present disclosure, and as shown in fig. 4, service data (processed service signals) is collected, a data modeling traffic prediction (data analysis model) may be further established, and the prediction result is matched with a formulated energy saving policy (base station energy saving mode), for example, the prediction result is matched with any one of energy saving mode 1, energy saving mode 2, and energy saving mode N, and after the matching result is obtained, the energy saving policy may be executed.

S303, determining a bandwidth adjustment strategy based on the matching result, and adjusting the transmission bandwidth by using the bandwidth adjustment strategy.

In this embodiment, the bandwidth adjustment policy may refer to adjustment of bandwidth configuration, including adjustment of channels, carriers, transmission bandwidth sizes, and the like, for example, after the base station adopts the energy saving mode, a service with a bandwidth requirement of 1G is correspondingly configured as a 10G independent channel, and after the bandwidth adjustment policy is utilized, the service can be adjusted to be a shared 2.5G bandwidth channel, which shares a bandwidth channel with other services, so that resource waste is reduced.

For example, taking two service scenarios shown in table 1 as an example, when a base station faces a service scenario with different flows, after a service enters a certain idle time window, the base station may take different energy saving measures in the corresponding idle time window, and after the base station takes an energy saving mode, a static bandwidth configuration technology in the prior art fixedly allocates a network bandwidth according to a maximum bit rate possible for a service signal, and adjusts a transmission bandwidth by using a bandwidth adjustment policy of the present application, which is found by comparing the prior art with the present application:

after the base station adopts the energy-saving mode, the bandwidth of the 2.5G independent channel and the bandwidth of the 10G independent channel are respectively and correspondingly configured for the small service with the bandwidth requirement of 1G and the large service with the bandwidth requirement of 2.5G by adopting the prior art, the bandwidth of the two services can be adjusted by combining and considering the energy-saving mode of the base station and the bandwidth adjusting strategy, the large service is adjusted to the shared 2.5G bandwidth channel from the 10G bandwidth, the small service still adopts the 2.5G bandwidth channel (sharing the 2.5G channel with the large service), and the adjusted bandwidth configuration enables the 10G bandwidth resource originally supplied for the large service to be released in the service idle time window, meanwhile, the idle bandwidth resource of the small service is fully utilized, and the transmission bandwidth utilization rate is improved.

Table 1 (only list some service scenarios)

Wherein, the first column represents the service type corresponding to the service scene, such as the small service stream has web page or voice telephone, the large service stream has video or data backup, etc., the second column represents the normal flow model, i.e. the bandwidth size during normal data transmission corresponding to the currently executed bandwidth strategy, the third column represents the flow model under the service idle time window, i.e. the data transmission bandwidth size during the idle time window corresponding to the currently executed bandwidth strategy, the fourth column represents the energy saving mode of the base station under the service idle time window, i.e. the energy saving mode adopted by the base station during the idle time window corresponding to the currently executed bandwidth strategy, the fifth column represents the bandwidth configuration of the prior art under the service idle time window, i.e. the bandwidth configuration adopted by the prior art under the idle time window, and the sixth column represents the bandwidth configuration of the present application under the service idle time window, that is, the bandwidth configuration after the bandwidth adjustment policy is adjusted is performed in the present application band under the idle time window, the seventh column indicates the bandwidth utilization rate of the prior art, and the eighth column indicates the bandwidth utilization rate of the present application band.

Therefore, the application provides a data transmission bandwidth adjusting method, which can establish a data analysis model based on historical service data by acquiring the historical service data of a base station, and predict the transmission bandwidth requirement based on the data analysis model; furthermore, the transmission bandwidth requirement is matched with a predefined base station energy-saving mode, a bandwidth adjusting strategy is determined by using a matching result, and then the transmission bandwidth can be adjusted in real time by using the bandwidth adjusting strategy. Therefore, the energy-saving mode of the base station and the bandwidth adjusting strategy can be combined, the bandwidth requirements of the base station and the transmission network are comprehensively considered, the adjusting accuracy is improved, the transmission bandwidth is adjusted in real time through the bandwidth adjusting strategy, the utilization rate of the transmission bandwidth is improved, and the resource waste is reduced.

In the embodiment of the application, the preprocessing refers to deleting the data with interference or repetition, the neural network model can be an LSTM model and is a variant of a circulating neural network model, and the problem of gradient explosion or disappearance of a simple circulating neural network can be effectively solved.

Specifically, the real-time data of the base station traffic in the past 7 × 24 hours, namely the number of cells in the coverage area of the base station, the number of users, the corresponding bandwidth requirements and the like, can be acquired through the wireless base station network manager, and the LSTM model in the AI algorithm is used for fitting with the historical traffic data in the past 7 × 24 hours to obtain a data analysis model, namely a fitting function, so that the traffic and the bandwidth requirement trend in the future day can be predicted according to the fitting function.

In this step, a plurality of time periods may be set in the next period, for example, in each time period in a future day, the transmission bandwidth requirement of each base station in the next period is the bandwidth requirement corresponding to different time periods in 24 hours, and fig. 5A is a configuration schematic diagram of the transmission bandwidth requirement provided in this embodiment of the present application, as shown in fig. 5A, 24 hours are divided into 9 time periods, and fitting is performed based on historical service data of 7 × 24 hours to obtain a data analysis model, so that the transmission bandwidth requirements in the future 24 hours, that is, the original bandwidth, bandwidth a, bandwidth b, bandwidth c, bandwidth d, and the like, and corresponding traffic are predicted.

Therefore, the embodiment of the application can predict the transmission bandwidth requirements in different time based on the neural network model, and further can be used for data analysis, so that a coping strategy is made in advance, and the risk of data loss is reduced.

Optionally, matching the transmission bandwidth requirement with a predefined base station energy saving mode to obtain a matching result, including:

In this embodiment of the present application, a scale of a base station refers to a size of the base station, an accepted service type refers to a service type such as audio and video, games, etc. that the base station can perform data transmission, an area where the base station is located refers to an area where the base station is deployed, such as a commercial street, a residential building, etc., an application scenario refers to a working property of the base station, such as a business, a unit, etc., and a coverage value of the base station refers to an area range that the base station can cover, an energy saving mode that the base station is suitable for can be comprehensively determined based on the properties of the base station, fig. 5B is a configuration diagram of an energy saving mode of the base station provided in this embodiment of the present application, as shown in fig. 5B, a corresponding energy saving mode of the base station is found based on the properties of the base station and a transmission bandwidth requirement of the base station in a period, such as a closed energy saving policy, a mode a, a mode B, a mode C, a mode D, etc.

For example, when a base station is in a scene or time period with low load, an outdoor macro station achieves the purpose of reducing power consumption by adopting a base station energy-saving mode of closing (or sleeping) part of transmitting radio frequency channels, if the application scene of the base station is the coverage condition of an urban wide area, a smaller transmission bandwidth value a can be matched, but if the application scene of the base station is the deep coverage condition of a traffic-intensive area in an urban area, a matched transmission bandwidth value B is matched, and the transmission bandwidth value B is greater than the transmission bandwidth value a, that is, different bandwidth matching results may be generated by the same energy-saving mode corresponding to different base station services, so that the processed results can reasonably distribute bandwidth resources and meet the customer network requirements of different service scenes at the same time.

In this step, a bandwidth threshold range corresponding to each base station energy saving mode may be iteratively calculated, that is, a bandwidth threshold corresponding to each base station energy saving mode is calculated based on a matched base station energy saving mode, where the bandwidth threshold is a redundant bandwidth and is used to provide an adjustable space, and then a bandwidth reference value bandwidth threshold may be calculated by using the bandwidth threshold and the transmission bandwidth requirement.

Specifically, assuming that the traffic corresponding to the energy-saving mode a of the base station is x, the actual transmission bandwidth requirement of the wireless channel corresponding to the traffic is y, the transmission bandwidth requirement y 'can be calculated according to the base station service data analysis and data analysis model after the energy-saving mode of the base station is enabled, the bandwidth requirement of the corresponding transmission device is z, and the bandwidth value after the redundant bandwidth is superimposed is a, the base station in the energy-saving mode a of the whole network under consideration of the redundant bandwidth is iteratively calculated according to the above algorithm to obtain the threshold value of the corresponding bandwidth value after the energy-saving mode a is in consideration of the redundant bandwidth, where a' is greater than y, and z + a is the bandwidth value after the energy-saving mode a is obtained.

It will be appreciated that each transmission bandwidth requirement has a corresponding transmission device bandwidth requirement.

Therefore, the embodiment of the application can match a suitable base station energy-saving mode based on the properties of the base station, so that the bandwidth reference value under the corresponding base station energy-saving mode can be known, a certain up-and-down floating interval can be allowed in emergency or special situations, and the transmission stability is improved.

if yes, executing the bandwidth adjustment strategy;

if not, the initial bandwidth execution strategy is continuously executed.

In this embodiment of the present application, a bandwidth requirement of a current network node refers to a bandwidth requirement required during data transmission, and an initial bandwidth enforcement policy refers to a bandwidth configuration implemented before a bandwidth adjustment policy is not performed.

In this step, after the base station performs model analysis according to the collected service data and adopts the base station energy-saving mode, the bandwidth requirement analysis module may perform bandwidth requirement analysis on the energy-saving mode adopted by the base station in combination with the property of the base station, that is, each energy-saving mode of the base station is matched with a corresponding bandwidth value according to the property of the base station, and the matched bandwidth configuration information is transmitted to the bandwidth adjustment control module, and after it is determined that the bandwidth configuration information meets the bandwidth requirement of the current network node, the bandwidth adjustment control module issues an instruction for performing bandwidth adjustment to the wireless base station management center and the transmission management center.

Exemplarily, fig. 6 is a schematic diagram of a bandwidth adjustment control provided in an embodiment of the present invention, as shown in fig. 6, after the bandwidth adjustment control center sends an instruction for performing bandwidth adjustment to the management center (wireless network) and the transmission management center (transmission network) of the wireless base station, the management center of the wireless base station and the transmission management center after receiving the bandwidth adjustment policy instruction will determine whether the instruction satisfies the bandwidth requirement of the current network node, if so, the management center of the wireless base station and the transmission management center will feed back the confirmation execution information to the bandwidth adjustment control center, further, after the bandwidth adjustment control center receives the confirmation execution information fed back by the management center of the wireless base station and the transmission management center, the bandwidth adjustment policy will be executed, if not, the bandwidth requirement of the current network node will be satisfied, the initial bandwidth enforcement policy continues to be enforced.

It should be noted that, the hardware resources can be reasonably allocated by adjusting the software function configuration of the base station, so as to achieve the purpose of saving the energy consumption of the base station, that is, the software and hardware in the base station are matched with the transmission network.

Therefore, the bandwidth adjustment strategy can be determined to be not required to adjust the transmission bandwidth by judging whether the bandwidth adjustment strategy meets the bandwidth requirement of the current network node, so that the bandwidth adjustment strategy is more consistent with the current operation condition, and the adjustment accuracy is improved.

In combination with the foregoing embodiments, the present application further provides an error correction adjustment mechanism after executing a dynamic adjustment policy for transmission bandwidth, so that when an aperiodic regular change occurs in bandwidth demand, an existing bandwidth adjustment policy cannot timely cope with a sudden change. Exemplarily, fig. 7 is a schematic structural diagram of a method for dynamically adjusting a transmission bandwidth based on a base station energy saving mode according to an embodiment of the present application, and as shown in fig. 7, a base station energy saving adjustment module obtains a service signal and processes the service signal to determine the base station energy saving mode; the bandwidth requirement analysis module can determine the transmission bandwidth requirement according to the energy-saving mode of the base station; further, the bandwidth adjustment control module may select and execute a bandwidth adjustment policy according to the bandwidth requirement determined by the bandwidth requirement analysis module, and after the bandwidth adjustment policy is executed, the error check module may perform error detection on the executed bandwidth operation condition. Therefore, the real-time detection of the bandwidth running condition after the bandwidth adjustment strategy is executed can effectively ensure the effective utilization of bandwidth resources and simultaneously can deal with different emergency conditions, thereby meeting the service requirements.

Optionally, the method further includes:

if not, triggering an error check mechanism, adjusting the currently executed bandwidth adjustment strategy based on the type of the monitoring data, and executing the adjusted bandwidth adjustment strategy.

In the embodiment of the application, the preset condition refers to the bandwidth requirement of current network node transmission, and the error checking mechanism refers to a mechanism for performing timely error correction and adjustment on the network operation condition after bandwidth adjustment by using an error correction algorithm, wherein the error correction algorithm is to perform statistical analysis on service monitoring data of a wireless network management (base station) and bandwidth resource monitoring data of a transmission network management (network node), and further take corresponding adjustment measures on a bandwidth adjustment strategy according to an analysis result.

In this step, the type of the monitoring data refers to two data types, namely, service monitoring data corresponding to the base station and bandwidth resource monitoring data corresponding to the network node, where the service monitoring data may include the number of cells in a coverage area of the base station, the number of users, the service type, a service demand bandwidth value, and the like, and the bandwidth resource monitoring data includes a transmission bandwidth value, a channel type, and the like corresponding to the transmission device.

Exemplarily, in the application scenario of fig. 1, taking the base station 1 as an example, after adjusting the transmission bandwidth by using the bandwidth adjustment policy determined, the SD-OTN cooperative controller 107 may obtain monitoring data corresponding to the base station 1, and determine whether the bandwidth after executing the bandwidth adjustment policy satisfies the bandwidth requirement transmitted by the current network node based on the monitoring data corresponding to the base station 1; if not, triggering an error check mechanism, finely adjusting the currently executed bandwidth adjustment strategy based on the type of the monitoring data, and further executing the finely adjusted bandwidth adjustment strategy by the SD-OTN cooperative controller 107; if yes, the current bandwidth execution strategy is continuously kept.

Therefore, an error checking mechanism is added in the method provided by the embodiment of the application, and after the bandwidth is dynamically adjusted, if sudden change occurs in the traffic, the bandwidth adjustment strategy can be adjusted, so that different service requirements are met, and the loss of transmission signals is reduced.

Specifically, for the wireless base station part, analyzing monitoring data of the wireless base station, and determining how to adjust a bandwidth adjustment strategy according to the size of a service demand bandwidth value corresponding to the base station monitored by the wireless terminal; and for the transmission network part, analyzing the transmission bandwidth resource monitoring data, and determining how to adjust the bandwidth adjustment strategy according to the transmission bandwidth value monitored by the transmission network and the size of the corresponding bandwidth reference value.

Therefore, the method and the device can obtain the corresponding different bandwidth adjustment strategies based on different monitoring data, and can perform corresponding adjustment when any data is monitored to be changed.

and when the service demand bandwidth value in the service monitoring data is greater than the bandwidth value corresponding to the currently-executed bandwidth strategy, determining to adjust the range of the transmission bandwidth according to the difference value between the service demand bandwidth value and the bandwidth value corresponding to the currently-executed bandwidth strategy.

In this step, the bandwidth value of a certain proportion may be a product of the set percentage a and a bandwidth value corresponding to a currently executed bandwidth adjustment policy, for example, 50% × the current bandwidth value, and when the bandwidth value of the service requirement is smaller than the bandwidth value of a certain proportion corresponding to the currently executed bandwidth policy, the bandwidth threshold corresponding to the base station is released to ensure that the bandwidth value of the service requirement does not exceed the bandwidth value currently executed under an emergency.

Correspondingly, when the service demand bandwidth value is smaller than the bandwidth value corresponding to the currently executed bandwidth policy but larger than the bandwidth value corresponding to the currently executed bandwidth policy in a certain proportion, the current bandwidth execution policy is maintained.

It should be noted that, when the bandwidth value of the service requirement is smaller than a bandwidth value corresponding to a certain proportion of the currently executed bandwidth policy, the bandwidth value of the service requirement is smaller than the bandwidth value corresponding to the currently executed bandwidth policy.

Further, if it is determined that the bandwidth value required by the service is greater than the bandwidth value corresponding to the currently-executed bandwidth policy, the base station performs a judgment on the required bandwidth value of the service according to the increased value of the base station service and a preset threshold, and executes different adjustment policies according to different judgment results, wherein the required bandwidth value of the base station service is a difference value between the required bandwidth value of the service and the bandwidth value corresponding to the currently-executed bandwidth policy.

Therefore, the method and the device have corresponding adjustment strategies for different conditions of the service demand bandwidth values, and the adjustment flexibility is improved.

when the difference value between the service demand bandwidth value and the bandwidth value corresponding to the currently executed bandwidth strategy is larger than a second threshold value, increasing the transmission bandwidth to be Z times of the service demand bandwidth value;

wherein X is less than Y and Y is less than Z.

In this step, the first threshold may refer to b% of a bandwidth value corresponding to a currently executed bandwidth policy, the second threshold may refer to c% of the bandwidth value corresponding to the currently executed bandwidth policy, where b% and c% are both less than 1 but greater than a%, and b is less than c.

Specifically, when the wireless base station service monitors that the service required bandwidth is greater than the bandwidth value corresponding to the currently executed bandwidth policy, it is further determined whether the increased value of the service required bandwidth is less than b% of the bandwidth value corresponding to the currently executed bandwidth policy, if so, the bandwidth is increased to X times of the service required bandwidth, if not, it is further determined whether the increased value of the service required bandwidth is less than c% of the bandwidth value corresponding to the currently executed bandwidth policy, if so, the bandwidth is increased to Y times of the service required bandwidth, and if not, the bandwidth is increased to Z times of the service required bandwidth.

Therefore, the embodiment of the application can meet the requirement that enough bandwidth is still available for signal transmission under the condition of different transmission bandwidth requirements by increasing the transmission bandwidth value.

when the transmission bandwidth value in the bandwidth resource monitoring data is greater than a third threshold value, terminating the current bandwidth adjustment strategy and executing an initial bandwidth execution strategy;

when the transmission bandwidth value in the bandwidth resource monitoring data is smaller than a fourth threshold and larger than a fifth threshold, increasing the transmission bandwidth to be M times of a bandwidth reference value;

wherein M is larger than N, and M and N are both smaller than 1.

In this step, the third threshold may be set to d% of the bandwidth reference value, the fourth threshold may be set to e% of the bandwidth reference value, the fifth threshold may be set to f% of the bandwidth reference value, d%, e%, and f% are all less than 1, and f is less than e, e is less than d, and the specific values of d, e, and f are not limited in this embodiment, but d%, e%, and f% are all greater than 0, such as 80% for d%, 60% for e%, and 50% for f.

Specifically, the transmission bandwidth resource monitors a transmission bandwidth value in real time, and when the transmission bandwidth resource monitors that the transmission bandwidth value is greater than 50% of a bandwidth reference value, it is further determined whether the transmission bandwidth value is less than 60% of the bandwidth reference value, if so, the bandwidth configuration is increased, that is, the bandwidth configuration is set to be m% of the bandwidth reference value, if not, it is determined whether the transmission bandwidth value is less than 80% of the bandwidth reference value, if so, the bandwidth configuration is increased, that is, the bandwidth configuration is set to be n% of the bandwidth reference value, and m is greater than n, and if not, the current bandwidth adjustment policy is ended, and an initial bandwidth execution policy is executed; and when the transmission bandwidth resource monitors that the transmission network bandwidth value is less than 50% of the bandwidth reference value, keeping the current bandwidth execution strategy.

Therefore, different adjustment strategies can be adopted based on different situations of transmission bandwidth values, so that the transmission bandwidth cannot exceed the bandwidth reference value, and therefore, when emergency situations are met, redundant bandwidth can be released, and normal transmission of signals is guaranteed.

X, Y, Z, M, N are all greater than 0.

With reference to the foregoing embodiment, fig. 8 is a schematic flowchart of a working process of an error checking and correcting module according to an embodiment of the present application; as shown in fig. 8, after the bandwidth adjustment strategy is executed, the wireless base station may monitor the bandwidth required by the service in real time, and the transmission management center may monitor the bandwidth resource, that is, the transmission network bandwidth value in real time.

Further, it is determined whether the service bandwidth requirement is greater than the current bandwidth value (i.e., the bandwidth value corresponding to the currently executed bandwidth policy), if yes, the following steps are executed: when the increase value of the service required bandwidth is less than or equal to b% of the current bandwidth value, increasing the bandwidth to X times of the service required bandwidth; when the increase value of the service required bandwidth is greater than b% of the current bandwidth value but less than or equal to c% of the current bandwidth value, increasing the bandwidth to be Y times of the service required bandwidth; when the increase value of the service required bandwidth is larger than c% of the current bandwidth value, increasing the bandwidth to be Z times of the service required bandwidth; if not, the following steps are executed: when the service demand bandwidth value is less than or equal to a% of the current bandwidth value, releasing the current bandwidth redundancy part and reducing the bandwidth configuration value; and when the traffic demand bandwidth value is less than or equal to the current bandwidth value but greater than a% of the current bandwidth value, maintaining the current bandwidth execution strategy.

Correspondingly, whether the transmission network bandwidth value is greater than or equal to 50% of the threshold value a' (namely the bandwidth reference value) is judged, if not, the current bandwidth execution strategy is kept, and if yes, the following steps are executed: when the transmission bandwidth value is determined to be greater than or equal to the 50% threshold a ' but less than or equal to the 60% threshold a ', the bandwidth configuration is increased, the bandwidth configuration is set to be m% of the current value, when the transmission bandwidth value is determined to be greater than the 60% threshold a ' but less than or equal to the 80% threshold a ', the bandwidth configuration is increased, the bandwidth configuration is set to be n% of the current value, and when the transmission bandwidth value is determined to be greater than the 80% threshold a ', the current bandwidth adjustment strategy is ended, and the initial state is recovered.

Optionally, the method further includes:

and after the initial bandwidth execution strategy is executed for a preset period, determining whether the transmission bandwidth needs to be adjusted again based on the historical service data in the preset period.

In the embodiment of the present application, the preset times may refer to times used for determining that the correction times are too many and the corresponding bandwidth adjustment policy is incorrectly set, the preset period may be the same as or different from the time set by the preset period in the above embodiment, and the specific values corresponding to the preset times and the preset period are not limited in the embodiment of the present application.

For example, fig. 9 is a schematic diagram of a principle of operation of an error checking mechanism provided in the embodiment of the present application, as shown in fig. 9, after a transmission bandwidth adjustment policy is executed, a wireless network manager may monitor service monitoring data in real time and perform statistical analysis, a transmission network manager may monitor bandwidth resource monitoring data in real time and perform statistical analysis, when a change occurs in service data monitored by the wireless network manager or the transmission network manager, and a currently executed bandwidth cannot meet a current network transmission bandwidth requirement, an error checking mechanism is triggered, after the error checking mechanism is triggered, an currently executed bandwidth is trimmed, if the currently executed bandwidth is continuously trimmed for 2 days or the error checking mechanism is triggered, a dynamic bandwidth adjustment mode is closed, and a bandwidth adjustment policy is restored to an initial state (i.e., an initial bandwidth execution policy), and after 7 days of the initial state, a new bandwidth dynamic adjustment flow is matched and operated based on historical service data of the 7 days, i.e. steps S301-S303 are performed again.

Therefore, whether the error checking mechanism is correct or not can be judged, if the error checking mechanism is triggered for multiple times, the bandwidth adjusting strategy is not appropriate, after data are collected for a period of time, the data collected again can be used for prediction again, and then an appropriate strategy is selected, so that the final transmission bandwidth meets the requirement.

With reference to the foregoing embodiment, fig. 10 is a schematic flow chart of a specific data transmission bandwidth adjusting method provided in an embodiment of the present application, and as shown in fig. 10, the data transmission bandwidth adjusting method includes the following steps:

step A: acquiring service data (processed service signals) of a base station, further performing base station energy-saving strategy analysis (namely, matching with a predefined base station energy-saving mode) based on the acquired service data, and further executing the matched energy-saving mode, wherein the base station corresponding to each energy-saving mode has different bandwidth requirements, for example, the energy-saving mode 1 corresponds to the base station 1, the base station 2 to the base station N, and the energy-saving modes 2 to N are similar to the energy-saving mode 1, and are not repeated herein, and after obtaining different bandwidth requirements of the base station corresponding to the energy-saving mode, the step B is executed.

And B, step B: analyzing the transmission bandwidth requirement, that is, matching corresponding bandwidth values according to the base station properties, for example, if the energy saving mode 1 corresponds to a base station 1 with a corresponding bandwidth a, the base station 2 corresponds to a bandwidth B, the base station n corresponds to a bandwidth n, and the like, and the base stations corresponding to different energy saving modes have different bandwidths, for example, the energy saving mode 2 corresponds to a base station 1 with a corresponding bandwidth C, the base station 2 corresponds to a bandwidth D, the base station n corresponds to a bandwidth n, and the like, the energy saving mode n corresponds to a base station 1 with a bandwidth E, the base station 2 corresponds to a bandwidth F, the base station n corresponds to a bandwidth n, and the like, and the others are not repeated herein, and after determining a bandwidth adjustment strategy, performing step C.

Step C: and sending the matched bandwidth configuration information to a bandwidth adjustment control module, issuing an instruction for executing a bandwidth adjustment control strategy to the wireless network and the transmission network by the bandwidth adjustment control module after determining that the bandwidth configuration information meets the bandwidth requirement of the current network node, judging whether the bandwidth after executing the bandwidth adjustment control strategy meets the transmission bandwidth requirement of the current network or not after executing the bandwidth adjustment control strategy, and executing a bandwidth adjustment error correction mechanism if the bandwidth after executing the bandwidth adjustment strategy does not meet the transmission bandwidth requirement of the current network.

It should be noted that, in the embodiment of the present application, the corresponding numerical values of N, bandwidth a, bandwidth B, bandwidth C, bandwidth D, bandwidth E, bandwidth F, and the like are not specifically limited.

Therefore, according to an intelligent energy-saving scheme which can be adopted by the base station based on the service data change, the bandwidth requirement analysis is carried out on the transmission bandwidth of the service signal of the base station, the transmission bandwidth value meeting the service requirement is calculated, and then the bandwidth configuration scheme is executed, so that the effects of meeting the service requirement, improving the utilization rate of the transmission network bandwidth and saving the operation cost of the transmission network are achieved.

In the foregoing embodiments, the data transmission bandwidth adjusting method provided in the embodiments of the present application is described, and in order to implement each function in the method provided in the embodiments of the present application, the electronic device serving as the execution subject may include a hardware structure and/or a software module, and implement each function in the form of a hardware structure, a software module, or a hardware structure plus a software module. Whether any of the above functions is implemented as a hardware structure, a software module, or a combination of a hardware structure and a software module depends upon the particular application and design constraints imposed on the technical solution.

For example, fig. 11 is a schematic structural diagram of a data transmission bandwidth adjusting apparatus according to an embodiment of the present application, and as shown in fig. 11, the apparatus includes: a prediction module 1110, a matching module 1120, and an adjustment module 1130; the prediction module 1110 is configured to obtain historical service data of each base station in a previous preset period, establish a data analysis model based on the historical service data, and predict a transmission bandwidth requirement based on the data analysis model;

the matching module 1120 is configured to match the transmission bandwidth requirement with a predefined base station energy saving mode to obtain a matching result;

the adjusting module 1130 is configured to determine a bandwidth adjusting policy based on the matching result, and adjust the transmission bandwidth by using the bandwidth adjusting policy.

Optionally, the prediction module 1110 is specifically configured to:

Optionally, the matching module 1120 is provided with:

matching the transmission bandwidth requirement of each base station with a predefined base station energy-saving mode based on the scale of the base station, the type of the received service, the area where the base station is located, the application scene and the coverage area of the base station; the predefined base station energy-saving modes comprise symbol turning-off, channel turning-off, carrier turning-off, cell turning-off and deep sleep;

Optionally, the adjusting module 1130 is configured to:

analyzing the bandwidth requirement based on the matching result, and determining a bandwidth adjustment strategy;

if so, executing the bandwidth adjustment strategy;

and if not, continuing to execute the initial bandwidth execution strategy.

Optionally, the apparatus further includes an obtaining module and an error checking module;

specifically, the obtaining module is configured to obtain the monitoring data corresponding to each base station after the bandwidth adjustment policy is used to adjust the transmission bandwidth; the monitoring data comprises service monitoring data of a base station and bandwidth resource monitoring data of a network node;

the error checking module is used for judging whether the bandwidth after executing the bandwidth adjusting strategy meets a preset condition or not based on the monitoring data corresponding to the base station aiming at each base station;

Optionally, the error checking module includes a first adjusting unit and a second adjusting unit;

specifically, the first adjusting unit is configured to, when the monitoring data is service monitoring data of a base station, adjust the currently executed bandwidth adjustment policy based on a service bandwidth demand value in the service monitoring data;

and the second adjusting unit is configured to, when the monitoring data is bandwidth resource monitoring data of a network node, adjust the currently executed bandwidth adjustment policy based on a transmission bandwidth value in the bandwidth resource monitoring data.

Optionally, the first adjusting unit includes a releasing unit and a determining unit;

specifically, the releasing unit is configured to release the bandwidth threshold corresponding to the base station when a bandwidth value required by the service in the service monitoring data is smaller than a bandwidth value corresponding to a certain proportion of a currently executed bandwidth policy;

and the determining unit is configured to determine, when the traffic demand bandwidth value in the traffic monitoring data is greater than a bandwidth value corresponding to the currently-executed bandwidth policy, to adjust the transmission bandwidth range according to a difference between the traffic demand bandwidth value and the bandwidth value corresponding to the currently-executed bandwidth policy.

Optionally, the determining unit is specifically configured to:

wherein X is less than Y and Y is less than Z.

Optionally, the second adjusting unit is specifically configured to:

when the transmission bandwidth value in the bandwidth resource monitoring data is smaller than a third threshold and larger than a fourth threshold, increasing the transmission bandwidth to be N times of a bandwidth reference value;

wherein M is larger than N, and both M and N are smaller than 1.

Optionally, the apparatus further includes a modification module, where the modification module is configured to:

when the number of times of triggering the error checking mechanism reaches a preset number of times, the bandwidth adjusting strategy corresponding to the base station is called back to an initial bandwidth executing strategy;

For specific implementation principles and effects of the data transmission bandwidth adjusting apparatus provided in the embodiment of the present application, reference may be made to relevant description and effects corresponding to the foregoing embodiments, which are not described in detail herein.

An embodiment of the present application further provides a schematic structural diagram of an electronic device, and fig. 12 is a schematic structural diagram of an electronic device provided in an embodiment of the present application, as shown in fig. 12, the electronic device may include: a processor 1201 and a memory 1202 communicatively coupled to the processor; the memory 1202 stores computer programs; the processor 1201 executes the computer program stored in the memory 1202 to cause the processor 1201 to perform the method according to any of the embodiments described above.

The memory 1202 and the processor 1201 may be connected by a bus 1203.

Embodiments of the present application further provide a computer-readable storage medium, which stores computer program execution instructions, and when the computer program execution instructions are executed by a processor, the computer program execution instructions are used to implement the method as described in any one of the foregoing embodiments of the present application.

The embodiment of the present application further provides a chip for executing the instruction, where the chip is used to execute the method in any of the foregoing embodiments executed by the electronic device in any of the foregoing embodiments of the present application.

Embodiments of the present application also provide a computer program product, which includes a computer program that, when executed by a processor, can implement the method described in any of the foregoing embodiments as performed by an electronic device in any of the foregoing embodiments of the present application.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of modules is merely a logical division, and other divisions may be realized in practice, for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.

Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one position, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to implement the solution of the embodiment.

In addition, functional modules in the embodiments of the present application may be integrated into one processing unit, or each module may exist alone physically, or two or more modules are integrated into one unit. The unit formed by the modules can be realized in a hardware mode, and can also be realized in a mode of hardware and a software functional unit.

The integrated module implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a processor to execute some steps of the methods described in the embodiments of the present application.

It should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the methods disclosed in the incorporated application may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor.

The Memory may include a Random Access Memory (RAM), and may further include a Non-volatile Memory (NVM), such as at least one magnetic disk Memory, and may also be a usb disk, a removable hard disk, a read-only Memory, a magnetic disk, or an optical disk.

The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.

The storage medium may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the storage medium may reside as discrete components in an electronic device or host device.

The above description is only a specific implementation of the embodiments of the present application, but the scope of the embodiments of the present application is not limited thereto, and any changes or substitutions within the technical scope disclosed in the embodiments of the present application should be covered within the scope of the embodiments of the present application. Therefore, the protection scope of the embodiments of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for adjusting data transmission bandwidth, the method comprising:

2. The method of claim 1, wherein building a data analysis model based on the historical traffic data and predicting transmission bandwidth requirements based on the data analysis model comprises:

3. The method of claim 1, wherein matching the transmission bandwidth requirement with a predefined base station energy saving mode to obtain a matching result comprises:

4. The method of claim 1, wherein determining a bandwidth adjustment policy based on the matching result, and adjusting the transmission bandwidth by using the bandwidth adjustment policy comprises:

if so, executing the bandwidth adjustment strategy;

if not, the initial bandwidth execution strategy is continuously executed.

5. The method according to any one of claims 1-4, further comprising:

6. The method of claim 5, wherein adjusting the currently executed bandwidth adjustment policy based on the type of monitored data comprises:

when the monitoring data is service monitoring data of a base station, adjusting the currently executed bandwidth adjustment strategy based on a service required bandwidth value in the service monitoring data;

7. The method of claim 6, wherein adjusting the currently executed bandwidth adjustment policy based on the traffic demand bandwidth value in the traffic monitoring data comprises:

8. The method of claim 7, wherein determining to adjust the transmission bandwidth range according to a difference between a traffic demand bandwidth value and a bandwidth value corresponding to a currently executed bandwidth policy comprises:

wherein X is less than Y and Y is less than Z.

9. The method of claim 6, wherein adjusting the currently executed bandwidth adjustment policy based on the transmission bandwidth value in the bandwidth resource monitoring data comprises:

wherein M is larger than N, and M and N are both smaller than 1.

10. The method of claim 5, further comprising:

11. An apparatus for adjusting data transmission bandwidth, the apparatus comprising:

12. An electronic device, comprising: a processor, a memory, and a computer program; wherein the computer program is stored in the memory and configured to be executed by the processor, the computer program comprising instructions for performing the data transmission bandwidth adjustment method according to any one of claims 1-10.

13. A computer-readable storage medium storing computer-executable instructions for implementing the data transmission bandwidth adjusting method according to any one of claims 1 to 10 when executed by a processor.