CN115996433B - Radio resource adjustment method, device, electronic equipment and storage medium - Google Patents
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Abstract
The embodiment of the application provides a wireless resource adjustment method, a device, electronic equipment and a storage medium, and relates to the technical field of wireless communication, wherein the method comprises the following steps: obtaining interference parameters of each channel obtained by scanning of the wireless driving module; based on the interference parameters of each channel, calculating the interference parameters corresponding to each preset channel group; for each preset channel group, determining a throughput predicted value corresponding to the preset channel group based on an interference parameter corresponding to the preset channel group; and switching the working channel and the bandwidth of the wireless driving module into the channel and the bandwidth corresponding to the target preset channel group, wherein the target preset channel group is the preset channel group corresponding to the maximum throughput predicted value. In this way, the quality of the wireless network may be improved.
Description
Technical Field
The present invention relates to the field of wireless communications technologies, and in particular, to a method and apparatus for adjusting wireless resources, an electronic device, and a storage medium.
Background
With iteration of the wireless protocol, the bandwidth is gradually expanded from the initial 20MHz to 40MHz, 80MHz, 160MHz, 80+80MHz and the like in a channel bundling mode, and the transmission rate is improved by the expansion of the bandwidth. However, the expansion of the bandwidth causes the span of the working channels of the wireless service to become large, and thus the possibility of overlapping between the working channels used by different wireless devices to become high, and the possibility of mutual interference to become high.
In order to improve the quality of the wireless network, the working channel and bandwidth of the wireless device may be adjusted by using a radio resource management (Radio Resource Management, RRM) adjustment algorithm, where the conventional RRM adjustment algorithm depends on the experience of a wireless expert, but the wireless expert lacks data support, so that the adjusted working channel and bandwidth may not be suitable for the wireless device, and still may have serious interference problem, thereby affecting the quality of the wireless network.
Disclosure of Invention
An object of an embodiment of the present application is to provide a method, an apparatus, an electronic device, and a storage medium for adjusting radio resources, where the specific technical scheme is as follows:
in a first aspect, an embodiment of the present application provides a radio resource adjustment method, including:
obtaining interference parameters of each channel obtained by scanning of the wireless driving module;
based on the interference parameters of each channel, calculating the interference parameters corresponding to each preset channel group;
for each preset channel group, determining a throughput predicted value corresponding to the preset channel group based on an interference parameter corresponding to the preset channel group;
and switching the working channel and the bandwidth of the wireless driving module into the channel and the bandwidth corresponding to a target preset channel group, wherein the target preset channel group is the preset channel group corresponding to the maximum throughput predicted value.
In one possible implementation manner, the determining, based on the interference parameter corresponding to the preset channel packet, a throughput prediction value corresponding to the preset channel packet includes:
inputting the interference parameters corresponding to the preset channel group into a throughput prediction model to obtain a throughput prediction value corresponding to the preset channel group; or,
based on a preset corresponding relation between the bandwidth and the throughput prediction model, determining a specified throughput prediction model corresponding to the bandwidth of the preset channel group, and inputting interference parameters corresponding to the preset channel group into the specified throughput prediction model to obtain a throughput prediction value corresponding to the preset channel group.
In one possible implementation manner, the acquiring the interference parameters of each channel obtained by scanning by the wireless driving module includes:
acquiring a channel quality tuple of each channel reported by the wireless driving module, wherein the channel quality tuple comprises a channel number and an interference parameter;
the calculating the interference parameter corresponding to each preset channel group based on the interference parameters of each channel comprises the following steps:
for each preset channel group, acquiring interference parameters corresponding to each channel number included in the preset channel group;
And averaging the interference parameters corresponding to the channel numbers included in the preset channel group to obtain the interference parameters corresponding to the preset channel group.
In one possible implementation of the present invention,
one channel quality tuple includes the interference parameters: the wireless driving module scans the channel for a plurality of times to obtain the average value of interference parameters within a designated time period; or,
one channel quality tuple includes the interference parameters: the wireless driving module scans the channel to obtain interference parameters last time.
In one possible implementation manner, after the switching the working channel and the bandwidth of the wireless driving module to the channel and the bandwidth corresponding to the target preset channel packet, the method further includes:
receiving a switching result fed back by the wireless driving module;
and sending the switching result to a control end so that the control end displays the switching result on a user interface.
In a second aspect, an embodiment of the present application provides a radio resource adjustment apparatus, including:
the characteristic collection module is used for acquiring interference parameters of each channel obtained by scanning of the wireless driving module;
the throughput prediction module is used for calculating the interference parameter corresponding to each preset channel group based on the interference parameter of each channel;
And determining a throughput predicted value corresponding to each preset channel group based on the interference parameter corresponding to the preset channel group;
and the adjustment implementation module is used for switching the working channel and the bandwidth of the wireless driving module into the channel and the bandwidth corresponding to the target preset channel group, wherein the target preset channel group is the preset channel group corresponding to the maximum throughput predicted value.
In one possible implementation manner, the throughput prediction module is specifically configured to:
inputting interference parameters corresponding to each preset channel group into a throughput prediction model to obtain a throughput prediction value corresponding to the preset channel group; or,
for each preset channel group, determining a specified throughput prediction model corresponding to the bandwidth of the preset channel group based on a preset corresponding relation between the bandwidth and the throughput prediction model, and inputting interference parameters corresponding to the preset channel group into the specified throughput prediction model to obtain a throughput prediction value corresponding to the preset channel group.
In one possible implementation of the present invention,
the characteristic collection module is specifically configured to obtain a channel quality tuple of each channel reported by the wireless driving module, where the channel quality tuple includes a channel number and an interference parameter;
The throughput prediction module is specifically configured to:
for each preset channel group, acquiring interference parameters corresponding to each channel number included in the preset channel group;
and averaging the interference parameters corresponding to the channel numbers included in the preset channel group to obtain the interference parameters corresponding to the preset channel group.
In one possible implementation of the present invention,
one channel quality tuple includes the interference parameters: the wireless driving module scans the channel for a plurality of times to obtain the average value of interference parameters within a designated time period; or,
one channel quality tuple includes the interference parameters: the wireless driving module scans the channel to obtain interference parameters last time.
In one possible implementation, the apparatus further includes an instruction control module:
the adjustment implementation module is also used for receiving the switching result fed back by the wireless driving module;
the instruction control module is used for sending the switching result received by the adjustment implementation module to the control end so that the control end displays the switching result on a user interface.
In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete communication with each other through the communication bus;
A memory for storing a computer program;
and a processor, configured to implement the method according to the first aspect when executing the program stored in the memory.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium, in which a computer program is stored, which when executed by a processor, implements the method according to the first aspect.
In a fifth aspect, embodiments of the present application also provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of the first aspect described above.
By adopting the technical scheme, the interference parameters of each channel obtained by scanning by the wireless driving module can be obtained, namely the actual interference condition of each current channel is obtained, further the interference parameters of each preset channel group can be calculated, and then the throughput predicted value corresponding to each preset channel group is determined based on the interference parameters corresponding to the preset channel group. The throughput predictive value can accurately reflect the wireless transmission quality corresponding to each preset channel packet. Therefore, the working channel and the bandwidth of the wireless driving module are switched to the channel and the bandwidth corresponding to the target preset channel group, wherein the target preset channel group is the preset channel group corresponding to the maximum throughput predicted value. The wireless driving module can work in a proper channel and bandwidth, the throughput is ensured, and the quality of a wireless network can be effectively improved.
Of course, not all of the above-described advantages need be achieved simultaneously in practicing any one of the products or methods of the present application.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following description will briefly introduce the drawings that are required to be used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other embodiments may also be obtained according to these drawings to those skilled in the art.
FIG. 1a is an exemplary schematic diagram of a bandwidth extension scheme according to an embodiment of the present application;
FIG. 1b is an exemplary diagram of an 80+80MHz bandwidth channel provided by an embodiment of the present application;
fig. 2 is a flowchart of a radio resource adjustment method according to an embodiment of the present application;
fig. 3 is an exemplary schematic diagram of a radio resource adjustment system according to an embodiment of the present application;
fig. 4 is an exemplary flowchart of a radio resource adjustment method provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of a radio resource adjusting device according to an embodiment of the present application;
fig. 6 is a block diagram of an electronic device for implementing a radio resource adjustment method provided in an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. Based on the embodiments herein, a person of ordinary skill in the art would be able to obtain all other embodiments based on the disclosure herein, which are within the scope of the disclosure herein.
With the iteration of the wireless protocol, the bandwidth is extended from the first 20MHz to 40MHz, and then to 80MHz, 160MHz, 80+80MHz, etc., as shown in fig. 1a, each trapezoid in fig. 1a represents a channel with a bandwidth of 20 MHz.
Binding two adjacent channels of 20MHz by a channel binding mode to form a bandwidth of 40 MHz; binding four adjacent channels of 20MHz to form a bandwidth of 80 MHz; eight adjacent channels of 20MHz are bundled to form a 160MHz bandwidth.
The channel bonding approach is shown in fig. 1a by way of example, and two adjacent 20MHz channels may be used in a bonded manner as 40MHz channels, where one 20MHz channel is the primary channel and the other 20MHz channel is the secondary channel.
In addition, two groups of adjacent 40MHz channels can be bundled and used as channels with the bandwidth of 80MHz, wherein one 40MHz channel is a main channel, and the other 40MHz channel is a secondary channel.
In addition, two groups of adjacent 80MHz channels can be bundled and used as channels with the bandwidth of 160MHz, wherein one 80MHz channel is a main channel, and the other 80MHz channel is a secondary channel.
Fig. 1b is an exemplary schematic diagram of a channel with a bandwidth of 80+80mhz according to an embodiment of the present application. In fig. 1b, the four 20MHz channels on the left side are a set of channels with a bandwidth of 80MHz, the four 20MHz channels on the right side are a set of channels with a bandwidth of 80MHz, and two non-adjacent sets of channels with a bandwidth of 80MHz can be bundled for use as a channel with a bandwidth of 80+80 MHz.
In order to improve the quality of a wireless network, the embodiment of the application provides a wireless resource adjustment method, which can be applied to a wireless device, and the wireless device can be a Fat Access Point (Fat AP), a wireless router or a wireless gateway. Alternatively, in the access controller (Access Controller, AC) +thin access point (Fit AP) networking, the wireless device may be an AC or an AP.
As shown in fig. 2, the method includes:
s201, obtaining interference parameters of each channel obtained by scanning of the wireless driving module.
Under the condition that the wireless equipment is a Fat AP, the wireless driving module is positioned in the Fat AP; in the case that the wireless device is a wireless router, the wireless driving module is located in the wireless router; in the case where the wireless device is a wireless gateway, the wireless drive module is located in the wireless gateway.
In the AC+Fit AP networking scene, the wireless driving module refers to wireless driving in the Fit AP.
The interference parameter of the channel may be a received frame utilization (Rxbusy), a packet loss rate, or an air interface occupancy rate. Of course, other parameters for reflecting channel interference are also possible, which is not specifically limited in the embodiments of the present application.
The user can trigger an adjustment instruction through the control end, and after receiving the adjustment instruction, the wireless device responds to the adjustment instruction to acquire interference parameters of each channel from the wireless driving module.
Or the wireless device can periodically acquire the interference parameters of each channel from the wireless driving module, store the interference parameters of each channel locally, and acquire the interference parameters of each channel acquired from the wireless driving module from the local after receiving an adjustment instruction triggered by a user through the control end.
S202, calculating interference parameters corresponding to each preset channel group based on the interference parameters of each channel.
Each preset channel group comprises at least one channel, the grouping basis of the preset channel groups is the relation between the channels and the bandwidths, and the bandwidths can be expanded by binding a plurality of adjacent channels.
For example, if a preset channel packet includes channel 1 and channel 6, where channel 1 and channel 6 are adjacent channels and each have a bandwidth of 20MHz, then channel 1 and channel 6 are bundled as a preset channel packet, and the preset channel packet can be used as a channel with a bandwidth of 40 MHz.
S203, determining a throughput predicted value corresponding to each preset channel group based on the interference parameter corresponding to the preset channel group.
S204, switching the working channel and the bandwidth of the wireless driving module into the channel and the bandwidth corresponding to the target preset channel group, wherein the target preset channel group is the preset channel group corresponding to the maximum throughput predicted value.
The bandwidth corresponding to the preset channel group is the sum of the bandwidths of all channels included in the preset channel group.
By adopting the method, the interference parameters of the channels obtained by scanning by the wireless driving module can be obtained, namely the actual interference condition of the current channels can be obtained, the interference parameters of each preset channel group can be calculated, and then the throughput predicted value corresponding to each preset channel group is determined based on the interference parameters corresponding to the preset channel group. The throughput predictive value can accurately reflect the wireless transmission quality corresponding to each preset channel packet. Therefore, the working channel and the bandwidth of the wireless driving module are switched to the channel and the bandwidth corresponding to the target preset channel group, wherein the target preset channel group is the preset channel group corresponding to the maximum throughput predicted value. The wireless driving module can work in a proper channel and bandwidth, the throughput is ensured, and the quality of a wireless network can be effectively improved.
In some embodiments of the present application, the step S201 of obtaining the interference parameters of each channel obtained by scanning by the wireless driving module may be specifically implemented as:
and acquiring a channel quality tuple of each channel reported by the wireless driving module, wherein the channel quality tuple comprises a channel number and an interference parameter.
In one implementation, one channel quality tuple includes interference parameters of: and in a designated time period, the wireless driving module scans the channel for a plurality of times to obtain the average value of the interference parameters.
Accordingly, the wireless driving module may scan each channel using its own existing scanning function to obtain interference parameters of each channel, and may store the interference parameters of each channel in the form of channel quality tuples (channel number, interference parameters).
When the wireless driving module needs to report the channel quality tuple, the wireless driving module can calculate the average value of the interference parameters obtained by scanning the channel for a plurality of times in a specified time period for each channel, and take the calculated average value as the interference parameters of the channel, thereby reporting the channel quality tuple of the channel.
The specified time period is a time period of specified duration before the deadline taking the current time as the deadline. For example, the specified time period may be the previous minute of the current time.
Therefore, the average value of the interference parameters of each channel in the specified time period can be obtained, so that the interference parameters can comprehensively reflect the interference conditions existing in the channels in the specified time period, and the throughput predicted value which is determined later can be more accurate. And further, more accurate working channels and bandwidths can be selected for the wireless equipment, and the quality of the wireless network can be improved.
In another implementation, one channel quality tuple includes interference parameters of: the wireless driving module scans the channel to obtain interference parameters. Thus, the wireless device can utilize the latest interference parameters to predict the throughput, and the predicted result is enabled to be closer to the latest channel state, so that the current most suitable working channel and bandwidth can be selected, and the quality of the wireless network can be improved.
Based on the obtained channel quality tuples of the channels, the step S202 of calculating the interference parameters corresponding to each preset channel packet based on the interference parameters of the channels can be specifically implemented as follows:
and aiming at each preset channel group, acquiring interference parameters corresponding to each channel number included in the preset channel group.
And averaging the interference parameters corresponding to the channel numbers included in the preset channel group to obtain the interference parameters corresponding to the preset channel group.
In this embodiment of the present application, each preset channel packet may be distinguished by a group number.
Each preset channel group comprises a group number, a fixed channel combination and a bandwidth corresponding to the preset channel group, and the grouping basis of the preset channel group is the relation between the channel and the bandwidth. As an example, according to the definition of the Chinese (CN) area code in the 802.11 protocol, a packet as shown in table 1 may be obtained:
TABLE 1
| Group number | Bandwidth of a wireless communication system | Channel number |
| 1-16 | 20MHz | 1、6、11、36、40、44、48、52、56、60、64、149、153、157、161、165 |
| 17-24 | 40 MHz | （1，6）、（6，11）、（36，40）、（44，48）、（52，56）、（60，64）、（149，153）、（157，161） |
| 25-27 | 80 MHz | （36，40，44，48）、（52，56，60，64）、（149，153，157，161） |
| 28 | 160 MHz | （36，40，44，48，52，56，60，64） |
Table 1 the total number of channels with 20MHz bandwidth is 16, and the preset channel group with 20MHz bandwidth includes 16 groups with group numbers 1-16.
Each preset channel group with the bandwidth of 40MHz comprises 2 adjacent channels with the bandwidth of 20 MHz; each preset channel group with the bandwidth of 80MHz comprises 4 adjacent channels with the bandwidth of 20 MHz; each preset channel group with the bandwidth of 160MHz comprises 8 adjacent channels with the bandwidth of 20 MHz.
The preset channel group with the bandwidth of 40MHz comprises 8 groups, and the group number is 17-24; the preset channel group with the bandwidth of 80MHz comprises 3 groups, and the group number is 25-27; the preset channel group with the bandwidth of 160MHz comprises 1 group and the group number is 28.
Because the channel quality tuple comprises the interference parameters corresponding to each channel with the bandwidth of 20MHz, the wireless device needs to perform approximate calculation on the interference parameters of the preset channel groups based on the interference parameters corresponding to each channel after obtaining the interference parameters corresponding to each preset channel group.
Specifically, an average method may be used to calculate an interference average value of the preset channel packet. Interference mean value of preset channel group = interference parameter of each channel in the preset channel group and/or number of channels in the preset channel group. Alternatively, the wireless device may store the group number and the interference mean value corresponding to the group number as a form of a predicted tuple, in particular in the form of (group number, interference mean value).
For example, the interference mean of the 25 th set of preset channel packets= (interference parameter of channel 36 + interference parameter of channel 40 + interference parameter of channel 44 + interference parameter of channel 48)/4.
By the method, the channel quality tuple of each channel reported by the wireless driving module can accurately reflect the interference existing in the channel, so that the interference parameter corresponding to each preset channel group obtained by calculating the channel quality tuple is closer to the actual service and more accurate. And the accuracy of the throughput predicted value can be further improved, the possibility that the wireless device selects a better working channel and bandwidth is improved, and the quality of the wireless network can be effectively improved.
In this embodiment of the present application, in S203, the determining, based on the interference parameter corresponding to the preset channel packet, the throughput prediction value corresponding to the preset channel packet includes the following two implementation manners:
in the first mode, for each preset channel packet, an interference parameter corresponding to the preset channel packet is input into a throughput prediction model, and a throughput prediction value corresponding to the preset channel packet is obtained.
Wherein the throughput prediction model is a pre-trained linear regression model or a pre-trained neural network model.
For example, the throughput prediction model is a pre-trained polynomial regression model. The polynomial regression model can be trained through a preset training set, wherein the preset training set comprises sample interference parameters corresponding to each preset channel group and throughput label values corresponding to each sample interference parameter.
The polynomial regression model in the embodiment of the present application may be simply described as f (interference mean) =throughput prediction value.
Specifically, the polynomial return model may be trained based on a preset training set until an error between a throughput predicted value output by the model for the sample interference parameter and a throughput label value corresponding to the sample interference parameter is smaller than a specified threshold, and the model is used as the throughput predicted model.
And in a second mode, aiming at each preset channel group, determining a specified throughput prediction model corresponding to the bandwidth of the preset channel group based on a preset corresponding relation between the bandwidth and the throughput prediction model, and inputting interference parameters corresponding to the preset channel group into the specified throughput prediction model to obtain a throughput prediction value corresponding to the preset channel group.
The preset channel group in the embodiment of the present application relates to multiple bandwidths, as shown in table 1, the preset channel group with group numbers of 1-16, and the corresponding bandwidth is 20MHz; the preset channel group with the group number of 17-24 corresponds to the bandwidth of 40MHz; a preset channel group with the group number of 25-27, and the corresponding bandwidth is 80MHz; the preset channel packet with the group number of 28 corresponds to 160MHz.
In the embodiment of the present application, a throughput prediction model may be trained in advance for each bandwidth, for example, the throughput prediction model in the embodiment of the present application includes: a throughput prediction model for 20MHz bandwidth training, a throughput prediction model for 40MHz bandwidth training, a throughput prediction model for 80MHz bandwidth training, and a throughput prediction model for 160MHz bandwidth training.
The wireless device can determine the bandwidth corresponding to the group number according to the corresponding relation between the bandwidth and the group number, and further determine the throughput prediction model corresponding to the bandwidth according to the preset corresponding relation between the bandwidth and the throughput prediction model.
For example, the preset channel group with the group number of 1-16 corresponds to a throughput prediction model trained for the 20MHz bandwidth; a preset channel group with the group number of 17-24 corresponds to a throughput prediction model trained for the 40MHz bandwidth; a preset channel group with the group number of 25-27 corresponds to a throughput prediction model trained for the 80MHz bandwidth; the preset channel packet with the group number of 28 corresponds to a throughput prediction model trained for 160MHz bandwidth.
Because the linear relation between the interference parameters and the throughput of the preset channel packets with different bandwidths is different, the embodiment of the application can train a throughput prediction model for each bandwidth in advance, further utilize the throughput prediction model matched with the bandwidth to perform throughput prediction, and obtain more accurate throughput prediction values. Therefore, the accuracy of the combined adjustment of the channel and the bandwidth can be improved.
In some embodiments of the present application, after switching the working channel and the bandwidth of the wireless driving module to the channel and the bandwidth corresponding to the target preset channel packet, the method further includes:
and receiving a switching result fed back by the wireless driving module.
And sending the switching result to the control end so that the control end displays the switching result on the user interface.
The switching result may include the working channel and the bandwidth after the wireless driving module is switched.
Optionally, the control end may also display key data on the user interface, where the key data may be a throughput predicted value output by the throughput prediction model for each preset channel packet, or may be a throughput predicted value output by the throughput prediction model for the target channel packet. The key data to be displayed can be set according to actual requirements. In this way, the user can be made aware of the adjustment of the radio resources.
On the basis of the above embodiments, the present application further provides a radio resource adjustment system, where the system may be deployed in a wireless device, for example, may be deployed in a Fat AP, a wireless router, or a wireless gateway. Or in a networking scenario of ac+fit AP, the system may be deployed in AC or AP. As shown in fig. 3, the system includes an instruction control module, a feature collection module, a wireless drive module, a throughput prediction module, and an adjustment implementation module.
The instruction control module can respectively perform data interaction with the feature collection module, the throughput prediction module and the adjustment implementation module; the wireless driving module can respectively interact data with the characteristic collecting module and the adjustment implementing module. The specific flow of interactions between the modules is shown in fig. 4.
Fig. 4 is an exemplary flowchart of a radio resource adjustment method according to an embodiment of the present application, as shown in fig. 4, where the method includes:
s401, the instruction control module receives an adjustment instruction.
After the user triggers the adjustment instruction through the control end, the control end sends the adjustment instruction to the instruction control module.
After receiving the adjustment instruction, the flow of radio resource adjustment may be triggered, and in the above embodiment, S201, the acquisition of the interference parameters of each channel obtained by scanning by the wireless driving module may be specifically implemented by the following S402-S405.
S402, responding to the adjustment instruction, and sending a data collection instruction to a feature collection module by the instruction control module; accordingly, the feature collection module receives the data collection instructions.
S403, responding to the data collection instruction, and sending the data collection instruction to the wireless driving module by the feature collection module; correspondingly, the wireless driving module receives a data collection instruction.
S404, responding to the data collection instruction, and acquiring the characteristic data by the wireless driving module.
Wherein, the characteristic data is the interference parameter of each channel. The wireless device can multiplex the existing scanning function of the wireless driving module, and collect interference parameters in each channel in the scanning process, for example, the interference parameters can be the utilization rate of a received frame, the occupancy rate of an air interface, the packet loss rate and the like.
In particular, the characteristic data may be stored in the form of a channel quality tuple, in particular in the form of (channel number + interference parameter).
S405, the wireless driving module returns a characteristic data set to the characteristic collection module; accordingly, the feature collection module receives a feature data set.
Wherein the feature dataset comprises channel quality tuples for each channel.
S406, the feature collection module sends a feature data set to the instruction control module; accordingly, the instruction control module receives the feature data set.
S407, the instruction control module sends the characteristic data set to the throughput prediction module; accordingly, the throughput prediction module receives the feature data set.
S408, the throughput prediction module predicts the throughput of the preset channel packet by using different throughput prediction models.
The throughput prediction module may calculate, according to the specific implementation manner of S202 in the foregoing embodiment, the interference parameter corresponding to each preset channel packet according to the channel quality tuple of each channel included in the feature data set, and then, according to the specific implementation manner of S203 in the foregoing embodiment, for each preset channel packet, select, according to the bandwidth of the preset channel packet, the throughput prediction model corresponding to the bandwidth, and input the group number and the interference parameter of each preset channel packet into the corresponding throughput prediction model, so as to obtain the throughput prediction value corresponding to each preset channel packet.
The specific method for calling the throughput prediction model based on the preset correspondence between the throughput prediction model and the bandwidth refers to the related description in the above embodiment, and will not be repeated here.
S409, the throughput prediction module returns a throughput prediction value to the instruction control module; accordingly, the instruction control module receives the throughput prediction value.
And if each preset channel packet corresponds to one throughput predicted value, the quantity of the throughput predicted values received by the instruction control module is consistent with the quantity of the preset channel packets.
S410, the instruction control module sends a throughput prediction value to the adjustment implementation module; accordingly, the adjustment enforcement module receives the throughput prediction value.
After the adjustment implementation module receives the throughput prediction value, the target preset channel packet may be selected, and a switching process is initiated, that is, in the above embodiment, S204, the working channel and the bandwidth of the wireless driving module are switched to the channel and the bandwidth corresponding to the target preset channel packet, which may be specifically implemented through the following S411-S414.
S411, the adjustment implementation module determines a target preset channel group corresponding to the maximum throughput predicted value.
The adjustment implementation module may determine a group number corresponding to the maximum throughput predicted value, and find, in the table 1, a target preset channel group corresponding to the group number, and a channel corresponding to the target preset group and a bandwidth corresponding to the target preset group by using the group number.
In addition, other factors can be added in the adjustment implementation module, for example, in the scene of ac+fit AP networking, when the target preset channel group is determined, the adjustment implementation module in AC can refer to the current working channel of the neighboring AP of the AP that needs to be adjusted currently, i.e. the target preset channel group can be selected by combining the throughput prediction value and the conventional RRM adjustment algorithm.
For example, the adjustment implementation module in the AC obtains a bandwidth and a channel corresponding to the bandwidth by using a conventional RRM adjustment algorithm, uses the bandwidth and the channel corresponding to the bandwidth as an adjustment mode, obtains a target preset channel group by using the radio resource adjustment method provided in the embodiment of the present application, uses the channel and the bandwidth corresponding to the target preset channel group as another adjustment mode, and then selects one of the two adjustment modes as a final adjustment mode. Or, after the adjustment implementation module in the AC calculates the optimal bandwidth by using the traditional RRM adjustment algorithm, the radio resource adjustment method provided by the embodiment of the present application is further used to determine the target preset channel packet based on the optimal bandwidth, which is specifically implemented as follows:
screening out preset channel groups corresponding to the optimal bandwidth, determining a throughput predicted value of the preset channel groups according to each preset channel group corresponding to the optimal bandwidth, and further determining a target preset channel group corresponding to the maximum throughput predicted value. Therefore, the wireless device can calculate the optimal bandwidth from other dimensions by using the traditional RRM adjustment algorithm, and only the target preset channel group is required to be determined in the preset channel group corresponding to the optimal bandwidth, so that the obtained target preset channel group is more accurate, a more accurate working channel can be selected for the wireless device, and the quality of a wireless network can be improved.
For example, the adjustment implementation module in AC calculates that the optimal bandwidth is 40MHz according to the conventional RRM adjustment algorithm, and as can be seen from table 1, the preset channels with the bandwidth of 40MHz are grouped into 8 groups, and the group numbers are 17-24. And the adjustment implementation module determines the maximum throughput predicted value from the throughput predicted values corresponding to the 8 groups of preset channel groups, and takes the 17 th group of preset channel groups as a target preset channel group if the throughput predicted value corresponding to the 17 th group of preset channel groups is the maximum throughput predicted value.
It should be noted that the above two ways of combining the conventional RRM adjustment algorithm and the throughput prediction value are merely examples, and the embodiments of the present application are not limited thereto in particular.
S412, the adjustment implementation module sends a switching instruction to the wireless driving module; correspondingly, the wireless driving module receives a switching instruction.
The switching instruction is used for indicating the wireless driving module to switch the working channel into a channel corresponding to the target preset channel group and switch the bandwidth into the bandwidth corresponding to the target preset channel group. Through the switching instruction, the wireless driving module can timely switch channels so as to improve the wireless service quality.
S413, the wireless driving module switches the working channel and the bandwidth into the channel and the bandwidth corresponding to the target preset channel group.
For example, the 17 th preset channel group in table 1 is a target preset channel group, where the 17 th preset channel group includes channel 1 and channel 6, and the bandwidth corresponding to the 17 th preset channel group is 40MHz. The wireless drive module receives the switching instruction, switches the working channel to channel 1 and channel 6, and switches the bandwidth to 40MHz. That is, after the wireless driving module completes the switching, the wireless driving module can use the two channels to perform data transmission at the same time.
S414, the wireless driving module returns a switching result to the adjustment implementation module; correspondingly, the adjustment implementation module receives the switching result.
S415, the adjustment implementation module returns a switching result to the instruction control module; correspondingly, the instruction module receives the switching result.
S416, the instruction control module sends the switching result to the control end so that the control end displays the switching result on the user interface.
The specific content of the switching result is referred to the related description in the above embodiment, and is not repeated here.
By adopting the method, the wireless device multiplexes the existing scanning function of the wireless driving module, and the problem of service flow interruption caused by waiting a large amount of time to collect the characteristic data when the wireless resource adjustment is carried out is avoided. And the scanning function of the multiplexing wireless driving module can be completed in the normal service providing process of the wireless driving module, and the normal service flow is not affected. The wireless driving module acquires the characteristic data of each channel and stores the characteristic data in the form of a channel quality tuple, wherein the characteristic data is specifically the interference parameter of each channel, and the interference parameter of each channel provides data support for the adjustment of wireless resources. Thus, the throughput prediction module can calculate and obtain the interference parameter corresponding to each preset channel group according to the preset channel group and the channel quality tuple corresponding to each channel. In addition, because each throughput prediction model is independently trained for one bandwidth, the throughput prediction module uses different throughput prediction models to perform throughput prediction on each channel and bandwidth combination, and the accuracy of the obtained throughput prediction value corresponding to each preset channel group is higher. The throughput predicted value can better reflect the transmission quality of the channel under the combination of the channel and the bandwidth corresponding to the preset channel group. And further, the adjustment implementation module determines a target preset channel group corresponding to the maximum throughput predicted value, and the wireless driving module switches the working channel and the bandwidth into a channel and a bandwidth corresponding to the target preset channel group. Therefore, compared with the traditional RRM adjustment algorithm, the method can enable the wireless driving module to work in a better working channel and bandwidth, and effectively improve the quality of a wireless network.
Based on the same concept, an embodiment of the present application provides a radio resource adjusting apparatus, as shown in fig. 5, including:
the feature collection module 501 is configured to obtain interference parameters of each channel obtained by scanning by the wireless driving module.
The throughput prediction module 502 is configured to calculate, based on interference parameters of each channel, interference parameters corresponding to each preset channel packet; and determining a throughput predicted value corresponding to each preset channel group based on the interference parameter corresponding to the preset channel group.
The adjustment implementation module 503 is configured to switch the working channel and the bandwidth of the wireless driving module to a channel and a bandwidth corresponding to a target preset channel packet, where the target preset channel packet is a preset channel packet corresponding to a maximum throughput prediction value.
Optionally, the throughput prediction module 502 is specifically configured to:
inputting interference parameters corresponding to each preset channel group into a throughput prediction model to obtain a throughput prediction value corresponding to the preset channel group; or,
for each preset channel group, determining a specified throughput prediction model corresponding to the bandwidth of the preset channel group based on a preset corresponding relation between the bandwidth and the throughput prediction model, and inputting interference parameters corresponding to the preset channel group into the specified throughput prediction model to obtain a throughput prediction value corresponding to the preset channel group.
Alternatively to this, the method may comprise,
the feature collection module 501 is specifically configured to obtain a channel quality tuple of each channel reported by the wireless driving module, where the channel quality tuple includes a channel number and an interference parameter.
The throughput prediction module 502 is specifically configured to:
and aiming at each preset channel group, acquiring interference parameters corresponding to each channel number included in the preset channel group.
And averaging the interference parameters corresponding to the channel numbers included in the preset channel group to obtain the interference parameters corresponding to the preset channel group.
Alternatively to this, the method may comprise,
one channel quality tuple includes the interference parameters: in a designated time period, the wireless driving module scans the channel for a plurality of times to obtain the average value of interference parameters; or,
one channel quality tuple includes the interference parameters: the wireless driving module scans the channel to obtain interference parameters.
Optionally, the device further includes an instruction control module:
the adjustment implementation module 503 is further configured to receive a switching result fed back by the wireless driving module.
The instruction control module is configured to send the switching result received by the adjustment implementation module 503 to the control end, so that the control end displays the switching result on the user interface.
The embodiment of the present application further provides an electronic device, as shown in fig. 6, including a processor 601, a communication interface 602, a memory 603, and a communication bus 604, where the processor 601, the communication interface 602, and the memory 603 perform communication with each other through the communication bus 604,
The processor 601 is configured to implement the steps of the radio resource adjustment method when executing the program stored in the memory 603.
The communication bus mentioned above for the electronic devices may be a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, etc. The communication bus may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, the figures are shown with only one bold line, but not with only one bus or one type of bus.
The communication interface is used for communication between the electronic device and other devices.
The Memory may include random access Memory (Random Access Memory, RAM) or may include Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the aforementioned processor.
The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
In yet another embodiment provided herein, there is also provided a computer readable storage medium having stored therein a computer program which when executed by a processor implements the steps of the radio resource adjustment method described above.
In yet another embodiment provided herein, there is also provided a computer program product containing instructions that, when run on a computer, cause the computer to perform the radio resource adjustment method of the above embodiment.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by wired (e.g., coaxial cable, optical fiber, digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), etc.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In this specification, each embodiment is described in a related manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the scope of the present application. Any modifications, equivalent substitutions, improvements, etc. that are within the spirit and principles of the present application are intended to be included within the scope of the present application.
Claims (10)
1. A radio resource adjustment method, comprising:
obtaining interference parameters of each channel obtained by scanning of the wireless driving module;
based on the interference parameters of each channel, calculating the interference parameters corresponding to each preset channel group;
for each preset channel group, determining a throughput predicted value corresponding to the preset channel group based on an interference parameter corresponding to the preset channel group;
switching the working channel and the bandwidth of the wireless driving module into a channel and a bandwidth corresponding to a target preset channel group, wherein the target preset channel group is a preset channel group corresponding to a maximum throughput predicted value;
the determining the throughput predicted value corresponding to the preset channel group based on the interference parameter corresponding to the preset channel group includes:
inputting the interference parameters corresponding to the preset channel group into a throughput prediction model to obtain a throughput prediction value corresponding to the preset channel group; or,
Based on a preset corresponding relation between the bandwidth and the throughput prediction model, determining a specified throughput prediction model corresponding to the bandwidth of the preset channel group, and inputting interference parameters corresponding to the preset channel group into the specified throughput prediction model to obtain a throughput prediction value corresponding to the preset channel group.
2. The method of claim 1, wherein the obtaining the interference parameters of each channel scanned by the wireless driving module comprises:
acquiring a channel quality tuple of each channel reported by the wireless driving module, wherein the channel quality tuple comprises a channel number and an interference parameter;
the calculating the interference parameter corresponding to each preset channel group based on the interference parameters of each channel comprises the following steps:
for each preset channel group, acquiring interference parameters corresponding to each channel number included in the preset channel group;
and averaging the interference parameters corresponding to the channel numbers included in the preset channel group to obtain the interference parameters corresponding to the preset channel group.
3. The method of claim 2, wherein the step of determining the position of the substrate comprises,
one channel quality tuple includes the interference parameters: the wireless driving module scans the channel for a plurality of times to obtain the average value of interference parameters within a designated time period; or,
One channel quality tuple includes the interference parameters: the wireless driving module scans the channel to obtain interference parameters last time.
4. The method of claim 1, wherein after said switching the operating channel and bandwidth of the wireless driver module to the channel and bandwidth corresponding to the target preset channel packet, the method further comprises:
receiving a switching result fed back by the wireless driving module;
and sending the switching result to a control end so that the control end displays the switching result on a user interface.
5. A radio resource adjustment device, the device comprising:
the characteristic collection module is used for acquiring interference parameters of each channel obtained by scanning of the wireless driving module;
the throughput prediction module is used for calculating the interference parameter corresponding to each preset channel group based on the interference parameter of each channel;
and determining a throughput predicted value corresponding to each preset channel group based on the interference parameter corresponding to the preset channel group;
the adjustment implementation module is used for switching the working channel and the bandwidth of the wireless driving module into the channel and the bandwidth corresponding to the target preset channel group, wherein the target preset channel group is the preset channel group corresponding to the maximum throughput predicted value;
The throughput prediction module is specifically configured to:
inputting interference parameters corresponding to each preset channel group into a throughput prediction model to obtain a throughput prediction value corresponding to the preset channel group; or,
for each preset channel group, determining a specified throughput prediction model corresponding to the bandwidth of the preset channel group based on a preset corresponding relation between the bandwidth and the throughput prediction model, and inputting interference parameters corresponding to the preset channel group into the specified throughput prediction model to obtain a throughput prediction value corresponding to the preset channel group.
6. The apparatus of claim 5, wherein the device comprises a plurality of sensors,
the characteristic collection module is specifically configured to obtain a channel quality tuple of each channel reported by the wireless driving module, where the channel quality tuple includes a channel number and an interference parameter;
the throughput prediction module is specifically configured to:
for each preset channel group, acquiring interference parameters corresponding to each channel number included in the preset channel group;
and averaging the interference parameters corresponding to the channel numbers included in the preset channel group to obtain the interference parameters corresponding to the preset channel group.
7. The apparatus of claim 6, wherein the device comprises a plurality of sensors,
one channel quality tuple includes the interference parameters: the wireless driving module scans the channel for a plurality of times to obtain the average value of interference parameters within a designated time period; or,
one channel quality tuple includes the interference parameters: the wireless driving module scans the channel to obtain interference parameters last time.
8. The apparatus of claim 5, further comprising an instruction control module:
the adjustment implementation module is also used for receiving the switching result fed back by the wireless driving module;
the instruction control module is used for sending the switching result received by the adjustment implementation module to the control end so that the control end displays the switching result on a user interface.
9. The electronic equipment is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
a memory for storing a computer program;
a processor for implementing the method of any of claims 1-4 when executing a program stored on a memory.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a computer program which, when executed by a processor, implements the method of any of claims 1-4.
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