CN112217608B - Data rate adjusting method and device, computer readable medium and electronic equipment - Google Patents
Data rate adjusting method and device, computer readable medium and electronic equipment Download PDFInfo
- Publication number
- CN112217608B CN112217608B CN202011092131.9A CN202011092131A CN112217608B CN 112217608 B CN112217608 B CN 112217608B CN 202011092131 A CN202011092131 A CN 202011092131A CN 112217608 B CN112217608 B CN 112217608B
- Authority
- CN
- China
- Prior art keywords
- noise ratio
- signal
- value
- values
- data rate
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
- H04L1/0002—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission rate
Landscapes
- Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
- Optical Communication System (AREA)
Abstract
The embodiment of the application provides a data rate adjusting method, a data rate adjusting device, a computer readable medium and electronic equipment. The data rate adjusting method comprises the following steps: acquiring a plurality of signal-to-noise ratio recorded values maintained by a network side aiming at node equipment; determining the current fluctuation condition of the network according to the plurality of signal-to-noise ratio recorded values; if the current fluctuation amplitude of the network is smaller than the set amplitude according to the signal-to-noise ratio recorded values, selecting a target signal-to-noise ratio recorded value larger than a signal-to-noise ratio threshold from the signal-to-noise ratio recorded values; and calculating the signal-to-noise ratio margin of the current network based on the average value of the target signal-to-noise ratio record values, and adjusting the data rate of the node equipment based on the signal-to-noise ratio margin. The technical scheme of the embodiment of the application can avoid the problem that the adjustment command occupies excessive channel resources caused by frequent adjustment of the data rate of the node equipment, and can improve the accuracy of the determined optimal data rate.
Description
Technical Field
The present application relates to the field of computers and communications technologies, and in particular, to a method and apparatus for adjusting a data rate, a computer readable medium, and an electronic device.
Background
In the Long Range spread spectrum modulation technology, ADR (Adaptive Data Rate ) adjustment can calculate an optimal data rate according to an actual channel condition, and dynamically adjust the transmitting power and the data rate of the node device, so that the node device can save more energy while meeting the signal detection requirement. However, the ADR scheme proposed in the related art needs to frequently adjust the data rate of the node device, which in turn causes the network side to frequently send an adjustment command to the node device, which occupies excessive channel resources.
Disclosure of Invention
The embodiment of the application provides a data rate adjusting method, a data rate adjusting device, a computer readable medium and electronic equipment, which can further solve the problem that excessive channel resources are occupied by an adjusting command due to frequent adjustment of the data rate of node equipment at least to a certain extent, and can improve the accuracy of the determined optimal data rate.
Other features and advantages of the application will be apparent from the following detailed description, or may be learned by the practice of the application.
According to an aspect of an embodiment of the present application, there is provided a method for adjusting a data rate, including: acquiring a plurality of signal-to-noise ratio recorded values maintained by a network side aiming at node equipment; determining the current fluctuation condition of the network according to the plurality of signal-to-noise ratio recorded values; if the current fluctuation amplitude of the network is smaller than the set amplitude according to the signal-to-noise ratio recorded values, selecting a target signal-to-noise ratio recorded value larger than a signal-to-noise ratio threshold from the signal-to-noise ratio recorded values; and calculating the signal-to-noise ratio margin of the current network based on the average value of the target signal-to-noise ratio record values, and adjusting the data rate of the node equipment based on the signal-to-noise ratio margin.
According to an aspect of an embodiment of the present application, there is provided an apparatus for adjusting a data rate, including: the first acquisition unit is configured to acquire a plurality of signal-to-noise ratio recorded values maintained by the network side aiming at the node equipment; a first determining unit configured to determine a current fluctuation condition of the network according to the plurality of signal-to-noise ratio record values; a first selection unit configured to select a target snr record value greater than a snr threshold from the plurality of snr record values when it is determined that the current fluctuation amplitude of the network is less than a set amplitude from the plurality of snr record values; and the processing unit is configured to calculate the signal-to-noise ratio margin of the current network based on the average value of the target signal-to-noise ratio record value and adjust the data rate of the node equipment based on the signal-to-noise ratio margin.
In some embodiments of the present application, based on the foregoing, the adjusting device further includes: the second acquisition unit is configured to acquire a maximum signal-to-noise ratio corresponding to the node equipment when the data rate of the node equipment is adjusted for the past time, so as to serve as a plurality of signal-to-noise ratio reference values; a second selecting unit configured to select target signal-to-noise ratio reference values, which fluctuate within a predetermined range from each other, from among the plurality of signal-to-noise ratio reference values; and the second determining unit is configured to determine the current fluctuation condition of the network according to the target signal-to-noise ratio reference value, and determine the signal-to-noise ratio threshold value based on the target signal-to-noise ratio reference value when the current fluctuation amplitude of the network is smaller than the set amplitude based on the target signal-to-noise ratio reference value.
In some embodiments of the application, based on the foregoing, the second determining unit is configured to: calculating the average value of the target signal-to-noise ratio reference value; and calculating a difference value between the average value and a first set value, and determining the signal-to-noise ratio threshold according to the difference value.
In some embodiments of the application, based on the foregoing, the second selecting unit is configured to: removing a first proportion of the signal-to-noise ratio reference values in the plurality of signal-to-noise ratio reference values in the order from small to large, and removing a second proportion of the signal-to-noise ratio reference values in the plurality of signal-to-noise ratio reference values in the order from large to small; and removing the signal-to-noise ratio reference value remained after the first proportion signal-to-noise ratio reference value and the second proportion signal-to-noise ratio reference value from the plurality of signal-to-noise ratio reference values to be used as the target signal-to-noise ratio reference value.
In some embodiments of the application, based on the foregoing, the second determining unit is configured to: calculating the variance of the target signal-to-noise ratio reference value; if the variance is larger than a second set value, determining that the current fluctuation amplitude of the network is smaller than the set amplitude; and if the variance is smaller than or equal to the second set value, determining that the current fluctuation amplitude of the network is larger than the set amplitude.
In some embodiments of the application, based on the foregoing scheme, the first determining unit is configured to: if the signal-to-noise ratio record values larger than the signal-to-noise ratio threshold exist in the signal-to-noise ratio record values, and the number of the signal-to-noise ratio record values larger than a third set value is smaller than the set number, determining that the current fluctuation amplitude of the network is smaller than the set amplitude, wherein the third set value is larger than the signal-to-noise ratio threshold.
In some embodiments of the application, based on the foregoing scheme, the first determining unit is configured to: and if the number of the signal-to-noise ratio recorded values which are larger than the third set value in the plurality of signal-to-noise ratio recorded values is higher than the set number, or the plurality of signal-to-noise ratio recorded values are smaller than the signal-to-noise ratio threshold value, determining that the current fluctuation amplitude of the network is larger than the set amplitude.
In some embodiments of the application, based on the foregoing, the processing unit is configured to: calculating the difference value between the average value of the target signal-to-noise ratio record values, the minimum signal-to-noise ratio required by successful demodulation of the signals and the set channel link margin; and determining the signal-to-noise ratio margin according to the difference value.
In some embodiments of the application, based on the foregoing, the processing unit is further configured to: and if the current fluctuation amplitude of the network is larger than the set amplitude, calculating the signal-to-noise ratio margin of the current network according to the maximum value in the plurality of signal-to-noise ratio recorded values.
In some embodiments of the application, based on the foregoing, the processing unit is configured to: calculating the difference between the maximum value of the signal-to-noise ratio recorded values, the minimum signal-to-noise ratio required by successful demodulation of the signal and the set channel link margin; and determining the signal-to-noise ratio margin according to the difference value.
In some embodiments of the application, based on the foregoing, the processing unit is configured to: calculating a reference step length according to the signal-to-noise ratio margin; if the reference step length is greater than 0 and the current data rate of the node equipment is smaller than the set data rate, increasing the data rate of the node equipment by a fourth set value and reducing the value of the reference step length by a fifth set value until the transmitting power of the node equipment reaches the minimum or the value of the reference step length is equal to 0; and if the reference step length is greater than 0 and the current data rate of the node equipment is greater than or equal to the set data rate, reducing the transmitting power of the node equipment by a sixth set value, and reducing the reference step length by the fifth set value until the transmitting power of the node equipment reaches the minimum or the value of the reference step length is equal to 0.
In some embodiments of the application, based on the foregoing, the processing unit is further configured to: if the reference step length is smaller than 0 and the transmitting power of the node equipment is smaller than the maximum transmitting power, the transmitting power of the node equipment is increased by a sixth set value, and the reference step length is increased by a fifth set value until the transmitting power of the node equipment reaches the maximum or the value of the reference step length is equal to 0.
According to an aspect of the embodiments of the present application, there is provided a computer readable medium having stored thereon a computer program which, when executed by a processor, implements a method of adjusting a data rate as described in the above embodiments.
According to an aspect of an embodiment of the present application, there is provided an electronic apparatus including: one or more processors; and a storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method of data rate adjustment as described in the above embodiments.
According to an aspect of embodiments of the present application, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the data rate adjustment method provided in the above-described various alternative embodiments.
In the technical solutions provided in some embodiments of the present application, when it is determined that the current fluctuation amplitude of the network is smaller than the set amplitude, a target snr record value greater than a snr threshold is selected from multiple snr record values, then a snr margin of the current network is calculated based on a mean value of the target snr record values, and a data rate of the node device is adjusted based on the snr margin, so that a relatively stable target snr record value can be selected, and a snr margin of the network is calculated based on the mean value of the selected target snr record values, thereby avoiding the problem that the network side needs to frequently adjust a data rate of the node device to cause adjustment commands to occupy excessive channel resources due to interference of individual outliers, and improving accuracy of the determined optimal data rate.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application. It is evident that the drawings in the following description are only some embodiments of the present application and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art. In the drawings:
FIG. 1 shows a schematic diagram of an exemplary system architecture to which the technical solution of an embodiment of the application may be applied;
FIG. 2 shows a flow chart of a method of adjusting a data rate according to one embodiment of the application;
FIG. 3 illustrates a flow chart of determining a signal-to-noise ratio threshold according to one embodiment of the application;
FIG. 4 shows a flow chart of a method of adjusting a data rate according to one embodiment of the application;
FIG. 5 illustrates a flow chart of determining an optimal data rate according to one embodiment of the application;
FIG. 6 shows a block diagram of an apparatus for adjusting data rate according to one embodiment of the application;
fig. 7 shows a schematic diagram of a computer system suitable for use in implementing an embodiment of the application.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the application may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the application.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
It should be noted that: references herein to "a plurality" means two or more. "and/or" describes an association relationship of an association object, meaning that there may be three relationships, e.g., a and/or B may represent: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.
Fig. 1 shows a schematic diagram of an exemplary system architecture to which the technical solution of an embodiment of the present application may be applied.
As shown in fig. 1, the system architecture may include a node device 101 (the node device 101 may be a smart phone as shown in fig. 1, or may be a tablet, a portable computer, a desktop computer, etc.), a gateway device (gw_1, gw_2, gw_3, gw_4, … … gw_n as shown in fig. 1), and a network server 102. The node device 101 communicates by using the LoRa technology, and the node device 101 and the network server 102 perform data interaction through the transfer of the gateway device. Wherein the data packets sent by the node device 101 are received by multiple gateway devices (e.g., gw_1, gw_2, gw_3, gw_4, … … gw_n shown in fig. 1) within communication range at the same time, and the network side (e.g., core network side) device records the maximum signal-to-noise ratio SNR (Signal Noise Ratio) of the data signals received by these gateway devices.
It should be understood that the number of node devices, gateway devices and network servers in fig. 1 is merely illustrative. There may be any number of node devices, gateway devices, and network servers, as desired for implementation.
In one embodiment of the application, node device 101 sends communication data to network server 102 in a broadcast manner, the communication data being received by a plurality of gateway devices in the vicinity of node device 101, such as by gw_1, gw_2, gw_3, gw_4, … … gw_n. The network side records the maximum snr of the data signals received by the gateway devices, and further obtains a plurality of snr record values for the node device 101.
In one technical solution, when adjusting the data rate of the node device, a maximum value of a plurality of SNR recorded values recorded on the network side is generally selected, and then a SNR margin (signal noise ratio margin, abbreviated as SNR margin) is calculated based on the maximum value of the plurality of SNR recorded values, and then the data rate of the node device is adjusted based on the calculated SNR margin. However, this method may be interfered by an abnormal value, and thus may have a significant impact on the adjustment of the data rate, and in practical use, the network side may frequently adjust the transmitting power and the data rate of the terminal device, and the issued adjustment command occupies excessive channel resources. Because the LoRa technology adopts a half duplex communication mode, the frequently issued adjustment command easily causes the problem of packet loss in the uplink transmission of the node equipment.
Thus, in one embodiment of the present application, after obtaining a plurality of snr record values for the node apparatus 101, the network side may determine a current fluctuation situation of the network according to the plurality of snr record values, and when it is determined that the current fluctuation amplitude of the network is smaller than the set amplitude according to the plurality of snr record values, a target snr record value greater than a snr threshold may be selected from the plurality of snr record values, and then calculate a snr margin of the current network based on a mean value of the target snr record values, and adjust a data rate of the node apparatus based on the snr margin. Therefore, the technical scheme of the embodiment of the application can select a stable target signal-to-noise ratio recorded value, calculate the signal-to-noise ratio margin of the network based on the average value of the selected target signal-to-noise ratio recorded value, further avoid the problem that the data rate of the node equipment needs to be frequently adjusted at the network side due to the interference of individual abnormal values to cause that the adjustment command occupies excessive channel resources, and improve the accuracy of the determined optimal data rate.
It should be noted that, the method for adjusting the data rate provided by the embodiment of the present application is generally executed by the network side device, and accordingly, the device for adjusting the data rate is generally disposed in the network side device. The network side device may be a core network device.
The implementation details of the technical scheme of the embodiment of the application are described in detail below:
fig. 2 shows a flow chart of a method for adjusting a data rate according to an embodiment of the present application, which may be performed by a network side device, for example, a core network device. Referring to fig. 2, the data rate adjustment method at least includes steps S210 to S240, and is described in detail as follows:
in step S210, a plurality of signal-to-noise ratio record values maintained by the network side for the node device are obtained.
In one embodiment of the present application, a data packet sent by a node device that uses the LoRa technology to communicate is received by multiple gateway devices in a communication range at the same time, and a network side (e.g., a core network side) records the maximum signal-to-noise ratio of data signals received by the gateway devices, where the maximum signal-to-noise ratio recorded by the network side for the node device is a signal-to-noise ratio recorded value maintained by the network side for the node device in step S210. Optionally, the number of the plurality of signal to noise ratio record values maintained by the network side for the node device may be 20, which is not particularly limited, although other numbers are also possible in other embodiments of the present application.
In step S220, a current fluctuation condition of the network is determined according to the plurality of signal-to-noise ratio record values.
In one embodiment of the present application, if there are signal-to-noise ratio record values greater than the signal-to-noise ratio threshold among the plurality of signal-to-noise ratio record values, and the number of signal-to-noise ratio record values greater than the third set value is lower than the set number, it is determined that the current fluctuation amplitude of the network is smaller than the set amplitude, wherein the third set value is greater than the signal-to-noise ratio threshold. Alternatively, the ratio between the third setting and the signal to noise ratio threshold may be around 10 dB.
In one embodiment of the present application, if the number of signal-to-noise ratio record values greater than the third set value in the plurality of signal-to-noise ratio record values is greater than the set number, or the plurality of signal-to-noise ratio record values are all less than the signal-to-noise ratio threshold, it is determined that the current fluctuation amplitude of the network is greater than the set amplitude.
In one embodiment of the present application, the signal to noise ratio threshold may be a set value, or may be determined according to the technical solution of the embodiment shown in fig. 3, specifically referring to fig. 3, including the following steps S310 to S340:
in step S310, the maximum value of the signal to noise ratio corresponding to the node device when the data rate adjustment is performed on the node device for the past time is obtained as a plurality of signal to noise ratio reference values.
In one embodiment of the present application, the maximum value of the signal to noise ratio corresponding to the node device when the data rate adjustment is performed on the node device for the past time is the maximum value of a plurality of signal to noise ratio record values corresponding to the node device when the data rate adjustment is performed on the node device for each time.
In step S320, a target snr reference value, which fluctuates within a predetermined range from each other, is selected from a plurality of snr reference values.
In one embodiment of the present application, a first proportion of the signal-to-noise ratio reference values in the plurality of signal-to-noise ratio reference values may be removed in order from small to large, a second proportion of the signal-to-noise ratio reference values in the plurality of signal-to-noise ratio reference values may be removed in order from large to small, and then the signal-to-noise ratio reference values remaining after the removal of the first proportion of the signal-to-noise ratio reference values and the second proportion of the signal-to-noise ratio reference values in the plurality of signal-to-noise ratio reference values may be used as the target signal-to-noise ratio reference values. I.e. removing the smaller first proportional signal-to-noise reference value and the larger second proportional signal-to-noise reference value of the plurality of signal-to-noise reference values. Of course, in other embodiments of the present application, only the smaller of the first proportional signal-to-noise ratio reference values of the plurality of signal-to-noise ratio reference values may be removed, or only the larger of the second proportional signal-to-noise ratio reference values of the plurality of signal-to-noise ratio reference values may be removed.
In step S330, the current fluctuation situation of the network is determined according to the target signal-to-noise ratio reference value.
In one embodiment of the present application, a variance of the target signal-to-noise ratio reference value may be calculated, and if the variance is greater than a second set value, it is determined that the current fluctuation amplitude of the network is less than the set amplitude; if the variance is less than or equal to the second set point, it is determined that the current fluctuation range of the network is greater than the set range.
In step S340, if it is determined that the current fluctuation amplitude of the network is smaller than the set amplitude based on the target snr reference value, the snr threshold is determined based on the target snr reference value.
In one embodiment of the present application, the average value of the target snr reference value may be calculated, then the difference between the average value and the first set value is calculated, and the snr threshold is determined according to the difference. Alternatively, the difference between the mean and the first set point may be taken as the signal-to-noise threshold.
With continued reference to fig. 2, in step S230, if it is determined from the plurality of snr record values that the current fluctuation amplitude of the network is less than the set amplitude, a target snr record value greater than the snr threshold is selected from the plurality of snr record values.
In an embodiment of the present application, the determination manner of the signal-to-noise ratio threshold may refer to the technical solution of the embodiment shown in fig. 3. In this embodiment, the signal-to-noise ratio margin of the network is calculated by selecting the target signal-to-noise ratio record value greater than the signal-to-noise ratio threshold, so that the problem that the adjustment command occupies excessive channel resources due to frequent adjustment of the data rate of the node device caused by interference of individual abnormal values can be avoided, and the adjustment accuracy of the optimal data rate is improved.
In step S240, a signal-to-noise ratio margin of the current network is calculated based on the average value of the target signal-to-noise ratio record value, and the data rate of the node device is adjusted based on the signal-to-noise ratio margin.
In one embodiment of the present application, a difference between the average value of the target snr record value and a minimum snr required for successful demodulation of the signal and a set channel link margin may be calculated based on the average value of the target snr record value, and then a snr margin may be determined according to the difference. Alternatively, the difference may be used as a signal-to-noise margin.
In one embodiment of the present application, if it is determined that the current fluctuation amplitude of the network is greater than the set amplitude, the signal-to-noise ratio margin of the current network may be calculated according to the maximum value of the plurality of signal-to-noise ratio recorded values. For example, a difference between the maximum value of the plurality of snr record values and the minimum snr required for successful demodulation of the signal and the set channel link margin may be calculated, and then a snr margin may be determined according to the difference. Alternatively, the difference may be used as a signal-to-noise margin.
After the snr margin is calculated, the data rate of the node device may be adjusted based on the snr margin, in particular, the reference step size may first be calculated from the snr margin. For example, a ratio between the snr margin and a set value (the set value may be, for example, 3, 4, etc.) may be calculated, and then a rounded result (alternatively, may be rounded down) of the ratio is taken as the reference step.
In one embodiment of the present application, after the reference step size is calculated, if the reference step size is greater than 0 and the current data rate of the node device is less than the set data rate, the data rate of the node device is increased by a fourth set value and the value of the reference step size is decreased by a fifth set value until the transmission power of the node device reaches a minimum or the value of the reference step size is equal to 0.
In one embodiment of the present application, after the reference step size is calculated, if the reference step size is greater than 0 and the current data rate of the node device is greater than or equal to the set data rate, the transmission power of the node device is reduced by a sixth set value, and the reference step size is reduced by a fifth set value until the transmission power of the node device reaches a minimum or the value of the reference step size is equal to 0.
In one embodiment of the present application, after the reference step size is calculated, if the reference step size is smaller than 0 and the transmission power of the node device is smaller than the maximum transmission power, the transmission power of the node device is increased by a sixth set value, and the reference step size is increased by a fifth set value until the transmission power of the node device reaches the maximum or the value of the reference step size is equal to 0.
By the technical scheme of the embodiment of the application, the network side can select a stable target signal-to-noise ratio recorded value, and calculate the signal-to-noise ratio margin of the network based on the average value of the selected target signal-to-noise ratio recorded value, so that the problem that excessive channel resources are occupied by an adjustment command due to frequent adjustment of the data rate of node equipment caused by interference of individual abnormal values can be avoided, and the accuracy of the determined optimal data rate can be improved.
The implementation details of the technical solution of the embodiment of the present application are described in detail below with reference to fig. 4 and 5:
in the embodiment of the application, when the signal-to-noise margin is calculated, the average value of the SNR screened by a certain rule is adopted, so that a stable calculation result which is not easily influenced by the individual abnormal value is obtained, and the problem that the data rate needs to be frequently adjusted due to the abnormal value can be effectively reduced. Meanwhile, the calculation result which is not easy to be interfered by individual abnormal values can better reflect the channel quality in the actual scene, and the optimal data rate adjustment performed on the basis of the calculation result can obtain a more accurate result.
Specifically, as shown in fig. 4, the data rate adjustment method according to one embodiment of the present application includes the following steps:
step S401, judging whether k SNRr records corresponding to the node equipment exist at the network side, if yes, executing step S403; otherwise, step S402 is performed.
In one embodiment of the present application, a data packet sent by a node device that uses the LoRa technology to perform communication will be received by multiple gateway devices in a communication range at the same time, a network side (such as a core network side) will record the maximum signal-to-noise ratio of data signals received by these gateway devices, which is denoted as SNRmax, and in general, the network side will maintain a certain number (such as 20) of SNRmax records, where the maximum value in the SNRmax records maintained by the network side is denoted as SNRm, and the value of SNRm recorded each time an optimal data rate adjustment is performed is denoted as SNRr. The k value may be configured according to actual requirements, for example, may be 20.
Step S402, snrmargin=snrm-SNR (DB) -margin_db.
In one embodiment of the present application, SNRmargin in the formula shown in step S402 represents a signal to noise ratio margin; SNRm is the maximum value in SNRmax records maintained by the network side when the data rate adjustment is carried out at this time; SNR (DB) represents the minimum SNR required for successful demodulation of a signal at different DBs (Data rates); margin_db represents a static parameter in the device profile, representing the link margin set, typically 10dB.
Step S403, removing the maximum value of 20% and the minimum value of 20% in the k SNRr records.
It should be noted that, the specific numerical values in step S403 are only examples, and by removing the maximum value of 20% and the minimum value of 20% in the k SNRr records, the fluctuation of the SNRr values can be further reduced, and further, the appropriate threshold value threshold can be ensured to be obtained by calculation, so that the appropriate SNRmax can be ensured to be obtained by screening, and the accuracy of the signal-to-noise ratio margin obtained by calculation can be improved.
Step S404, if the variance V of the rest SNRr value is larger than the threshold value TH, executing step S402; otherwise, step S405 is executed.
In one embodiment of the application, if the variance V is greater than the threshold value TH, the channel quality fluctuation in the network at the current moment is considered to be large; otherwise, the fluctuation of the channel quality in the network at the current moment is considered to be smaller, wherein the threshold value TH can be set according to actual requirements (such as tolerance to network fluctuation, etc.).
In step S405, the average value SNRmean of the remaining SNRr values is calculated, and the threshold=snrmean-5 dB is calculated.
In one embodiment of the present application, the specific values in step S405 are merely examples, and in other embodiments of the present application, the specific values may be configured according to actual requirements. The threshold value calculated in step S405 may reflect the quality of the channel to some extent in the case where the fluctuation of the channel quality is small.
Step S406, if M SNRmax is greater than threshold+10dB or all SNRmax is less than threshold, the current channel quality fluctuation of the network is considered to be larger, and the SNRr at the moment can not correctly reflect the current channel condition, so that step S402 is executed; if there are SNRmax values greater than threshold in the SNRmax records currently maintained by the network side and the number of SNRmax record values greater than threshold+10dB is less than M, the current channel quality fluctuation of the network is considered to be smaller, and step S407 is executed at this time.
In one embodiment of the present application, the SNRmax in step S406 is an SNRmax record maintained by the network side when the data rate adjustment is performed this time. The specific values in step S406 are merely examples, and in other embodiments of the present application, the configuration may be performed according to actual requirements. And the number M can be configured according to actual requirements.
In step S407, a mean value SNRave of SNRmax greater than threshold is calculated.
In one embodiment of the application, the SNRmax larger than the threshold is screened out, and the average SNRave of the SNRmax larger than the threshold is calculated, so that the signal-to-noise ratio margin can be calculated according to the SNRave when the fluctuation of the channel quality is smaller, and the accuracy of the calculated signal-to-noise ratio margin can be further ensured.
Step S408, snrmargin=snrave-SNR (DB) -margin_db+5/2.
In one embodiment of the present application, the specific values in the formula shown in step S408 are only examples, and in other embodiments of the present application, the specific values may be set according to actual needs.
Step S409, calculating Nstep according to SNRmargin and determining the optimal data rate.
In one embodiment of the application, nstep may be calculated by the following formula:
in the above formula, ""means rounding down the symbol. It should be noted that the specific values in the above formulas are only examples, and in other embodiments of the present application, the specific values may be set according to actual needs. Also, nstep may be calculated by rounding up. The process of determining the optimal data rate according to Nstep may refer to the solution of the embodiment shown in fig. 5.
In step S410, the maximum value SNRm among the SNRmax is recorded.
In one embodiment of the present application, the maximum value SNRm of SNRmax is recorded in step S410 for use in the next data rate.
As shown in fig. 5, the process of determining an optimal data rate according to one embodiment of the present application includes the steps of:
step S501, judging whether Nstep is equal to 0, if so, ending the process of determining the optimal data rate by the network side, and further adjusting the data rate by the node equipment; otherwise, step S502 is performed.
Step S502, judging whether Nstep is larger than 0, if so, executing step S503; otherwise, step S506 is performed.
Step S503, judging whether the current DR of the node equipment is smaller than DR5, if yes, increasing the DR of the node equipment by 1, otherwise, reducing the transmitting power of the node equipment by 3dB. It should be noted that DR5 and specific increasing and decreasing values in step S503 are only examples.
Step S504, nstep is decremented by 1, and then step S505 is performed. It should be noted that the specific values in step S504 are only examples.
Step S505, judging whether the transmitting power of the node equipment reaches the minimum, if so, determining that the data rate adjustment is finished for the node equipment; otherwise, the process returns to step S501.
Step S506, judging whether the transmitting power of the node equipment is smaller than the maximum value, if yes, executing step S507; otherwise, the process of determining the optimal data rate at the network side is ended, and the node equipment can adjust the data rate.
Step S507, the transmission power of the node device is increased by 3dB, and then step S508 is performed. The specific values in step S507 are only examples.
Step S508, add Nstep to 1, and then return to step S501. It should be noted that the specific values in step S508 are only examples.
According to the technical scheme provided by the embodiment of the application, the accuracy of the determined optimal data rate can be improved under the scene of small fluctuation of network quality, and the situation that the network side frequently issues the adjustment command to the node equipment to increase the occupation of the channel is avoided.
The following describes embodiments of the apparatus of the present application that may be used to perform the data rate adjustment method of the above embodiments of the present application. For details not disclosed in the embodiments of the apparatus of the present application, please refer to the embodiments of the data rate adjustment method of the present application.
Fig. 6 shows a block diagram of a data rate adjustment device according to an embodiment of the application, which may be arranged inside a network-side device, such as a core network device.
Referring to fig. 6, an apparatus 600 for adjusting a data rate according to an embodiment of the present application includes: a first acquisition unit 602, a first determination unit 604, a first selection unit 606, and a processing unit 608.
The first obtaining unit 602 is configured to obtain a plurality of signal-to-noise ratio record values maintained by the network side for the node device; the first determining unit 604 is configured to determine a current fluctuation situation of the network according to the plurality of signal-to-noise ratio record values; the first selecting unit 606 is configured to select a target snr record value greater than a snr threshold from the plurality of snr record values when it is determined from the plurality of snr record values that the current fluctuation amplitude of the network is less than the set amplitude; the processing unit 608 is configured to calculate a signal-to-noise margin for the current network based on the average of the target signal-to-noise record values and to adjust the data rate of the node device based on the signal-to-noise margin.
In some embodiments of the present application, based on the foregoing solution, the adjusting device 600 further includes: the second acquisition unit is configured to acquire a maximum signal-to-noise ratio corresponding to the node equipment when the data rate of the node equipment is adjusted for the past time, so as to serve as a plurality of signal-to-noise ratio reference values; a second selecting unit configured to select target signal-to-noise ratio reference values, which fluctuate within a predetermined range from each other, from among the plurality of signal-to-noise ratio reference values; and the second determining unit is configured to determine the current fluctuation condition of the network according to the target signal-to-noise ratio reference value, and determine the signal-to-noise ratio threshold value based on the target signal-to-noise ratio reference value when the current fluctuation amplitude of the network is smaller than the set amplitude based on the target signal-to-noise ratio reference value.
In some embodiments of the application, based on the foregoing, the second determining unit is configured to: calculating the average value of the target signal-to-noise ratio reference value; and calculating a difference value between the average value and a first set value, and determining the signal-to-noise ratio threshold according to the difference value.
In some embodiments of the application, based on the foregoing, the second selecting unit is configured to: removing a first proportion of the signal-to-noise ratio reference values in the plurality of signal-to-noise ratio reference values in the order from small to large, and removing a second proportion of the signal-to-noise ratio reference values in the plurality of signal-to-noise ratio reference values in the order from large to small; and removing the signal-to-noise ratio reference value remained after the first proportion signal-to-noise ratio reference value and the second proportion signal-to-noise ratio reference value from the plurality of signal-to-noise ratio reference values to be used as the target signal-to-noise ratio reference value.
In some embodiments of the application, based on the foregoing, the second determining unit is configured to: calculating the variance of the target signal-to-noise ratio reference value; if the variance is larger than a second set value, determining that the current fluctuation amplitude of the network is smaller than the set amplitude; and if the variance is smaller than or equal to the second set value, determining that the current fluctuation amplitude of the network is larger than the set amplitude.
In some embodiments of the present application, based on the foregoing scheme, the first determining unit 604 is configured to: if the signal-to-noise ratio record values larger than the signal-to-noise ratio threshold exist in the signal-to-noise ratio record values, and the number of the signal-to-noise ratio record values larger than a third set value is smaller than the set number, determining that the current fluctuation amplitude of the network is smaller than the set amplitude, wherein the third set value is larger than the signal-to-noise ratio threshold.
In some embodiments of the present application, based on the foregoing scheme, the first determining unit 604 is configured to: and if the number of the signal-to-noise ratio recorded values which are larger than the third set value in the plurality of signal-to-noise ratio recorded values is higher than the set number, or the plurality of signal-to-noise ratio recorded values are smaller than the signal-to-noise ratio threshold value, determining that the current fluctuation amplitude of the network is larger than the set amplitude.
In some embodiments of the application, based on the foregoing scheme, the processing unit 608 is configured to: calculating the difference value between the average value of the target signal-to-noise ratio record values, the minimum signal-to-noise ratio required by successful demodulation of the signals and the set channel link margin; and determining the signal-to-noise ratio margin according to the difference value.
In some embodiments of the application, based on the foregoing, the processing unit 608 is further configured to: and if the current fluctuation amplitude of the network is larger than the set amplitude, calculating the signal-to-noise ratio margin of the current network according to the maximum value in the plurality of signal-to-noise ratio recorded values.
In some embodiments of the application, based on the foregoing scheme, the processing unit 608 is configured to: calculating the difference between the maximum value of the signal-to-noise ratio recorded values, the minimum signal-to-noise ratio required by successful demodulation of the signal and the set channel link margin; and determining the signal-to-noise ratio margin according to the difference value.
In some embodiments of the application, based on the foregoing scheme, the processing unit 608 is configured to: calculating a reference step length according to the signal-to-noise ratio margin; if the reference step length is greater than 0 and the current data rate of the node equipment is smaller than the set data rate, increasing the data rate of the node equipment by a fourth set value and reducing the value of the reference step length by a fifth set value until the transmitting power of the node equipment reaches the minimum or the value of the reference step length is equal to 0; and if the reference step length is greater than 0 and the current data rate of the node equipment is greater than or equal to the set data rate, reducing the transmitting power of the node equipment by a sixth set value, and reducing the reference step length by the fifth set value until the transmitting power of the node equipment reaches the minimum or the value of the reference step length is equal to 0.
In some embodiments of the application, based on the foregoing, the processing unit 608 is further configured to: if the reference step length is smaller than 0 and the transmitting power of the node equipment is smaller than the maximum transmitting power, the transmitting power of the node equipment is increased by a sixth set value, and the reference step length is increased by a fifth set value until the transmitting power of the node equipment reaches the maximum or the value of the reference step length is equal to 0.
Fig. 7 shows a schematic diagram of a computer system suitable for use in implementing an embodiment of the application.
It should be noted that, the computer system 700 of the electronic device shown in fig. 7 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present application.
As shown in fig. 7, the computer system 700 includes a central processing unit (Central Processing Unit, CPU) 701 that can perform various appropriate actions and processes, such as performing the methods described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 702 or a program loaded from a storage section 708 into a random access Memory (Random Access Memory, RAM) 703. In the RAM 703, various programs and data required for the system operation are also stored. The CPU 701, ROM 702, and RAM 703 are connected to each other through a bus 704. An Input/Output (I/O) interface 705 is also connected to bus 704.
The following components are connected to the I/O interface 705: an input section 706 including a keyboard, a mouse, and the like; an output section 707 including a Cathode Ray Tube (CRT), a liquid crystal display (Liquid Crystal Display, LCD), and the like, a speaker, and the like; a storage section 708 including a hard disk or the like; and a communication section 709 including a network interface card such as a LAN (Local Area Network ) card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. The drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read therefrom is mounted into the storage section 708 as necessary.
In particular, according to embodiments of the present application, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method shown in the flowchart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 709, and/or installed from the removable medium 711. When executed by a Central Processing Unit (CPU) 701, performs the various functions defined in the system of the present application.
It should be noted that, the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-Only Memory (ROM), an erasable programmable read-Only Memory (Erasable Programmable Read Only Memory, EPROM), flash Memory, an optical fiber, a portable compact disc read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with a computer-readable computer program embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. A computer program embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Where each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present application may be implemented by software, or may be implemented by hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
As another aspect, the present application also provides a computer-readable medium that may be contained in the electronic device described in the above embodiment; or may exist alone without being incorporated into the electronic device. The computer-readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to implement the methods described in the above embodiments.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functions of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, a touch terminal, or a network device, etc.) to perform the method according to the embodiments of the present application.
Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains.
It is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (14)
1. A method for adjusting a data rate, comprising:
acquiring a plurality of signal-to-noise ratio recorded values maintained by a network side aiming at node equipment;
determining the current fluctuation condition of the network according to the plurality of signal-to-noise ratio recorded values;
if the current fluctuation amplitude of the network is smaller than the set amplitude according to the signal-to-noise ratio recorded values, selecting a target signal-to-noise ratio recorded value larger than a signal-to-noise ratio threshold from the signal-to-noise ratio recorded values;
calculating the signal-to-noise ratio margin of the current network based on the average value of the target signal-to-noise ratio record values, and adjusting the data rate of the node equipment based on the signal-to-noise ratio margin;
Wherein, the adjusting method further comprises: acquiring a maximum value of signal to noise ratio corresponding to the node equipment when data rate adjustment is carried out on the node equipment for the past time, and taking the maximum value of signal to noise ratio as a plurality of signal to noise ratio reference values;
selecting target signal-to-noise ratio reference values, which fluctuate within a preset range, from the plurality of signal-to-noise ratio reference values;
determining the current fluctuation condition of the network according to the target signal-to-noise ratio reference value;
and if the current fluctuation amplitude of the network is smaller than the set amplitude based on the target signal-to-noise ratio reference value, determining the signal-to-noise ratio threshold based on the target signal-to-noise ratio reference value.
2. The adjustment method of claim 1, wherein determining the signal-to-noise ratio threshold based on the target signal-to-noise ratio reference value comprises:
calculating the average value of the target signal-to-noise ratio reference value;
and calculating a difference value between the average value and a first set value, and determining the signal-to-noise ratio threshold according to the difference value.
3. The adjustment method according to claim 1, characterized in that selecting a target signal-to-noise ratio reference value from the plurality of signal-to-noise ratio reference values, which fluctuates within a predetermined range from each other, comprises:
removing a first proportion of the signal-to-noise ratio reference values in the plurality of signal-to-noise ratio reference values in the order from small to large, and removing a second proportion of the signal-to-noise ratio reference values in the plurality of signal-to-noise ratio reference values in the order from large to small;
And removing the signal-to-noise ratio reference value remained after the first proportion signal-to-noise ratio reference value and the second proportion signal-to-noise ratio reference value from the plurality of signal-to-noise ratio reference values to be used as the target signal-to-noise ratio reference value.
4. The tuning method of claim 1, wherein determining the current fluctuation of the network based on the target signal-to-noise ratio reference value comprises:
calculating the variance of the target signal-to-noise ratio reference value;
if the variance is larger than a second set value, determining that the current fluctuation amplitude of the network is smaller than the set amplitude;
and if the variance is smaller than or equal to the second set value, determining that the current fluctuation amplitude of the network is larger than the set amplitude.
5. The method of adjusting of claim 1, wherein determining the current fluctuation condition of the network based on the plurality of snr record values comprises:
if the signal-to-noise ratio record values larger than the signal-to-noise ratio threshold exist in the signal-to-noise ratio record values, and the number of the signal-to-noise ratio record values larger than a third set value is smaller than the set number, determining that the current fluctuation amplitude of the network is smaller than the set amplitude, wherein the third set value is larger than the signal-to-noise ratio threshold.
6. The method of adjusting according to claim 5, wherein determining the current fluctuation condition of the network based on the plurality of snr record values further comprises:
and if the number of the signal-to-noise ratio recorded values which are larger than the third set value in the plurality of signal-to-noise ratio recorded values is higher than the set number, or the plurality of signal-to-noise ratio recorded values are smaller than the signal-to-noise ratio threshold value, determining that the current fluctuation amplitude of the network is larger than the set amplitude.
7. The adjustment method according to claim 1, characterized in that calculating a signal-to-noise margin of a current network based on a mean value of the target signal-to-noise record values comprises:
calculating the difference value between the average value of the target signal-to-noise ratio record values, the minimum signal-to-noise ratio required by successful demodulation of the signals and the set channel link margin;
and determining the signal-to-noise ratio margin according to the difference value.
8. The adjustment method according to any one of claims 1 to 7, characterized in that the adjustment method further comprises:
and if the current fluctuation amplitude of the network is larger than the set amplitude, calculating the signal-to-noise ratio margin of the current network according to the maximum value in the plurality of signal-to-noise ratio recorded values.
9. The adjustment method of claim 8, wherein calculating a signal-to-noise margin for the current network from a maximum of the plurality of signal-to-noise record values comprises:
Calculating the difference between the maximum value of the signal-to-noise ratio recorded values, the minimum signal-to-noise ratio required by successful demodulation of the signal and the set channel link margin;
and determining the signal-to-noise ratio margin according to the difference value.
10. The adjustment method according to any one of claims 1 to 7, characterized in that adjusting the data rate of the node device based on the signal-to-noise margin comprises:
calculating a reference step length according to the signal-to-noise ratio margin;
if the reference step length is greater than 0 and the current data rate of the node equipment is smaller than the set data rate, increasing the data rate of the node equipment by a fourth set value and reducing the value of the reference step length by a fifth set value until the transmitting power of the node equipment reaches the minimum or the value of the reference step length is equal to 0;
and if the reference step length is greater than 0 and the current data rate of the node equipment is greater than or equal to the set data rate, reducing the transmitting power of the node equipment by a sixth set value, and reducing the reference step length by the fifth set value until the transmitting power of the node equipment reaches the minimum or the value of the reference step length is equal to 0.
11. The adjustment method according to claim 10, characterized by further comprising:
if the reference step length is smaller than 0 and the transmitting power of the node equipment is smaller than the maximum transmitting power, the transmitting power of the node equipment is increased by a sixth set value, and the reference step length is increased by a fifth set value until the transmitting power of the node equipment reaches the maximum or the value of the reference step length is equal to 0.
12. An apparatus for adjusting a data rate, comprising:
the first acquisition unit is configured to acquire a plurality of signal-to-noise ratio recorded values maintained by the network side aiming at the node equipment;
a first determining unit configured to determine a current fluctuation condition of the network according to the plurality of signal-to-noise ratio record values;
a first selection unit configured to select a target snr record value greater than a snr threshold from the plurality of snr record values when it is determined that the current fluctuation amplitude of the network is less than a set amplitude from the plurality of snr record values;
the processing unit is configured to calculate the signal-to-noise ratio margin of the current network based on the average value of the target signal-to-noise ratio record value, and adjust the data rate of the node equipment based on the signal-to-noise ratio margin;
The second acquisition unit is configured to acquire a maximum signal-to-noise ratio corresponding to the node equipment when the data rate of the node equipment is adjusted for the past time, so as to serve as a plurality of signal-to-noise ratio reference values;
a second selecting unit configured to select target signal-to-noise ratio reference values, which fluctuate within a predetermined range from each other, from among the plurality of signal-to-noise ratio reference values;
and the second determining unit is configured to determine the current fluctuation condition of the network according to the target signal-to-noise ratio reference value, and determine the signal-to-noise ratio threshold value based on the target signal-to-noise ratio reference value when the current fluctuation amplitude of the network is smaller than the set amplitude based on the target signal-to-noise ratio reference value.
13. A computer readable medium on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method of adjusting a data rate according to any one of claims 1 to 11.
14. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs which when executed by the one or more processors cause the one or more processors to implement the method of data rate adjustment of any of claims 1 to 11.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011092131.9A CN112217608B (en) | 2020-10-13 | 2020-10-13 | Data rate adjusting method and device, computer readable medium and electronic equipment |
| PCT/CN2021/119435 WO2022078162A1 (en) | 2020-10-13 | 2021-09-18 | Data rate adjustment method and apparatus, and device, readable medium and program product |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011092131.9A CN112217608B (en) | 2020-10-13 | 2020-10-13 | Data rate adjusting method and device, computer readable medium and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112217608A CN112217608A (en) | 2021-01-12 |
| CN112217608B true CN112217608B (en) | 2023-10-20 |
Family
ID=74053974
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011092131.9A Active CN112217608B (en) | 2020-10-13 | 2020-10-13 | Data rate adjusting method and device, computer readable medium and electronic equipment |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN112217608B (en) |
| WO (1) | WO2022078162A1 (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112217608B (en) * | 2020-10-13 | 2023-10-20 | 腾讯科技（深圳）有限公司 | Data rate adjusting method and device, computer readable medium and electronic equipment |
| CN114567417B (en) * | 2022-04-26 | 2022-08-02 | 苏州浪潮智能科技有限公司 | Link rate self-adaption method, system, equipment and medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101341664A (en) * | 2004-09-24 | 2009-01-07 | 高通股份有限公司 | Method and system for power control in a communication system |
| CN101605358A (en) * | 2009-06-29 | 2009-12-16 | 中兴通讯股份有限公司 | Uplink rate control method and system |
| CN108737997A (en) * | 2017-04-21 | 2018-11-02 | 展讯通信（上海）有限公司 | Adjust method, equipment and the system of data packet transmission rates |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7756059B1 (en) * | 2008-05-19 | 2010-07-13 | Meru Networks | Differential signal-to-noise ratio based rate adaptation |
| US9806871B2 (en) * | 2015-05-17 | 2017-10-31 | Imagination Technologies | Selective sub-carrier processing |
| CN106911430B (en) * | 2017-03-03 | 2020-09-29 | 国动物联网有限公司 | LoRaWAN adaptive rate adjustment method |
| CN109121150B (en) * | 2018-10-11 | 2021-07-16 | 深圳市亿兆互联技术有限公司 | ADR (adaptive Doppler response) adjustment method and system of LoRa (LoRa) communication system based on big data |
| CN112217608B (en) * | 2020-10-13 | 2023-10-20 | 腾讯科技（深圳）有限公司 | Data rate adjusting method and device, computer readable medium and electronic equipment |
-
2020
- 2020-10-13 CN CN202011092131.9A patent/CN112217608B/en active Active
-
2021
- 2021-09-18 WO PCT/CN2021/119435 patent/WO2022078162A1/en active Application Filing
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101341664A (en) * | 2004-09-24 | 2009-01-07 | 高通股份有限公司 | Method and system for power control in a communication system |
| CN101605358A (en) * | 2009-06-29 | 2009-12-16 | 中兴通讯股份有限公司 | Uplink rate control method and system |
| CN108737997A (en) * | 2017-04-21 | 2018-11-02 | 展讯通信（上海）有限公司 | Adjust method, equipment and the system of data packet transmission rates |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2022078162A1 (en) | 2022-04-21 |
| CN112217608A (en) | 2021-01-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| RU2656363C2 (en) | Frequency spectral management apparatus and method, geographical location database and secondary system apparatus | |
| CN112217608B (en) | Data rate adjusting method and device, computer readable medium and electronic equipment | |
| EP3306832B1 (en) | Method for multi-point cooperation considering delay in wireless communication system | |
| US10299248B2 (en) | Method and apparatus for transmitting system information, and method and apparatus for receiving system information | |
| CN109121196B (en) | Terminal transmitting power control method and device based on NB-IoT system | |
| CN111010739B (en) | Physical resource block configuration method, device, 5G base station and readable storage medium | |
| CN112868265B (en) | Network resource management method, management device, electronic equipment and storage medium | |
| CN109068332B (en) | Data transmission method and device | |
| CN106973431B (en) | Transmission power adjusting method and terminal | |
| US7177367B2 (en) | Method for bit assignment and fine gain setting in a multi-carrier communications system | |
| CN108632856B (en) | Processing method for determining target neighbor cell and server | |
| US7061986B2 (en) | Method for adaptive bit assignment and fine gain setting in a multi-carrier communications system | |
| CN110337112B (en) | Terminal access method and device | |
| CN108347579B (en) | Bandwidth control method and device | |
| CN113890672A (en) | Method, device and communication equipment for determining size of transmission block | |
| CN112675535A (en) | Display interface adjusting method and device, network equipment and storage medium | |
| CN109769270B (en) | Working bandwidth adjusting method and device | |
| CN117715188A (en) | Power distribution method, device, server and storage medium | |
| CN104202095A (en) | Base station floor noise reducing method and device | |
| CN114040511B (en) | Communication device, OBO counter value method thereof, electronic device and storage medium | |
| CN108513328B (en) | Robust sharing access method and device for partially overlapped channels of mobile communication equipment | |
| CN103516411B (en) | A kind of distributed beams forming method, device and system | |
| CN115662459A (en) | Noise estimation method and related device | |
| CN110875784B (en) | Antenna calibration method and device | |
| CN111147214B (en) | Sending method of uplink signal, information indicating method, terminal and network equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| REG | Reference to a national code |
Ref country code: HK Ref legal event code: DE Ref document number: 40038144 Country of ref document: HK |
|
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |