CN116760679B - Physical layer parameter configuration method and device and electronic equipment - Google Patents
Physical layer parameter configuration method and device and electronic equipment Download PDFInfo
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Abstract
The embodiment of the application provides a physical layer parameter configuration method, a physical layer parameter configuration device and electronic equipment. The method comprises the following steps: acquiring configuration information of a target object; the configuration information comprises normalized channel frequency response variance, normalized channel power delay spectrum and normalized signal-to-noise ratio of the target object; inputting the configuration information into a physical layer parameter configuration network to obtain target parameters; the target parameters comprise a first parameter and/or a second parameter, wherein the first parameter is used for indicating the resolution of the high-efficiency long training field in the frequency domain subcarrier spacing, and the second parameter is used for indicating the length of the guard interval; and configuring a target protocol data unit (PPDU) by using the target parameters so as to realize data communication with the target object through the configured PPDU. The method can automatically configure physical layer parameters matched with the PPDU transmission through the physical layer parameter configuration network, avoid introducing excessive errors to deteriorate demodulation performance, and improve transmission efficiency.
Description
Technical Field
The embodiment of the application relates to the field of communication, in particular to a physical layer parameter configuration method, a physical layer parameter configuration device and electronic equipment.
Background
Currently, in wireless local area network (Wireless Local Area Network, WLAN) technology, physical layer parameters are closely related to data transmission.
Taking the 802.11ax protocol as an example, there are four physical layer protocol data unit (physical layer protocol data unit, PPDU) formats, namely: HE SU PPDU, HE MU PPDU, HE ER PPDU, and HE TB PPDU. Wherein a high efficiency long training field (high efficiency long training field, HE-LTF) is used for channel estimation and a Data (Data) field is used for carrying Data.
In the related art, physical layer parameters, i.e., he_ltf_type and gi_type, together determine each OFDM symbol duration of the HE-LTF field, and gi_type determines each orthogonal frequency division multiplexing (orthogonal frequency-division multiplexing, OFDM) duration of the data field. And, he_ltf_type affects the sequence density of HE-LTF in frequency domain subcarriers. The longer each OFDM duration of the HE-LTF and data field, the more overhead is transmitted; whereas the less overhead is transmitted. Gi_type also determines the ability of the receiver to combat channel delay multipath.
In the data transmission process, in order to coordinate demodulation performance and transmission overhead of the receiving end, he_ltf_type and gi_type need to be configured efficiently, so as to avoid introducing excessive errors to deteriorate demodulation performance under the condition of ensuring demodulation performance of the receiving end. Therefore, a new solution is needed to solve the above technical problems.
Disclosure of Invention
The embodiment of the application provides an improved physical layer parameter configuration method, device and electronic equipment, which are used for realizing automatic configuration of physical layer parameters in PPDU transmission, reducing transmission overhead and improving transmission efficiency.
The embodiment of the application provides a physical layer parameter configuration method, a physical layer parameter configuration device and electronic equipment.
In a first aspect of the present application, there is provided a physical layer parameter configuration method, including:
acquiring configuration information of a target object; the configuration information comprises normalized channel frequency response variance, normalized channel power delay spectrum and normalized signal-to-noise ratio of the target object;
inputting the configuration information into a physical layer parameter configuration network to obtain target parameters; the target parameters comprise a first parameter and/or a second parameter, wherein the first parameter is used for indicating the resolution of the high-efficiency long training field in the frequency domain subcarrier interval, and the second parameter is used for indicating the length of the guard interval;
and configuring a target protocol data unit by adopting the target parameters so as to realize data communication with the target object through the configured target protocol data unit.
As an optional embodiment, the inputting the configuration information into the physical layer parameter configuration network to obtain the target parameter includes:
inputting the normalized signal-to-noise ratio and the normalized channel frequency response variance into a first physical layer parameter configuration network to obtain the first parameter; inputting the normalized signal-to-noise ratio and the normalized channel power delay spectrum into a second physical layer parameter configuration network to obtain the second parameter; wherein the first physical layer parameter configuration network and the second physical layer parameter configuration network are non-joint neural networks.
As an optional embodiment, the inputting the configuration information into the physical layer parameter configuration network to obtain the target parameter includes:
inputting the normalized signal-to-noise ratio, the normalized channel frequency response variance and the normalized channel power delay spectrum into a third physical layer parameter configuration network to obtain a first parameter and/or a second parameter; wherein the third physical layer parameter configuration network is a federated neural network.
As an alternative embodiment, the method for training the physical layer parameter configuration network further includes:
obtaining a channel power time delay spectrum sample; generating a plurality of channels according to the channel power delay spectrum samples; calculating respective channel frequency response variance samples of a plurality of channels through a physical layer parameter configuration network to be trained; taking channels with the same channel frequency response variance sample as a group to obtain a plurality of channel groups; respectively carrying out physical layer simulation treatment on each channel group to obtain performance parameters of each sample combination to be evaluated under different normalized signal-to-noise ratios; the sample combination to be evaluated comprises a channel frequency response variance sample and a corresponding channel power delay spectrum sample; the performance parameters include at least a frame error rate; and selecting a sample combination to be evaluated, which meets preset conditions, based on the performance parameters, and feeding back a selection result to a physical layer parameter configuration network to be trained so as to train the physical layer parameter configuration network.
As an optional embodiment, the obtaining the channel power delay profile sample includes:
randomly generating the channel power delay spectrum sample; or acquiring the channel power time delay spectrum sample by a measuring instrument; or generating the channel power delay profile samples by adopting a channel model specified in a communication protocol.
As an alternative embodiment, the preset condition includes: the frame error rate of the sample combination to be evaluated is lower than a preset frame error rate threshold.
As an optional embodiment, the obtaining the configuration information of the target object includes:
responding to a transmission instruction of a target object, and taking normalized channel frequency response variance, normalized channel power delay spectrum and normalized signal-to-noise ratio of the target object as the configuration information; wherein the transmission instruction includes an instruction to send the target protocol data unit to the target object.
As an alternative embodiment, the first parameter and the second parameter are physical layer parameters in the 802.11 ax/be protocol; alternatively, the second parameter is a physical layer parameter in the 802.11 n/ac protocol.
In a second aspect of the present application, there is provided a physical layer parameter configuration apparatus, the apparatus comprising:
the acquisition module is used for acquiring configuration information of the target object; the configuration information comprises normalized channel frequency response variance, normalized channel power delay spectrum and normalized signal-to-noise ratio of the target object;
the generation module is used for inputting the configuration information into a physical layer parameter configuration network to obtain target parameters; the target parameters comprise a first parameter and/or a second parameter, wherein the first parameter is used for indicating the resolution of the high-efficiency long training field in the frequency domain subcarrier interval, and the second parameter is used for indicating the length of the guard interval;
and the configuration unit is used for configuring a target protocol data unit by adopting the target parameters so as to realize data communication with the target object.
In a third aspect of the present application, there is provided a computer readable storage medium comprising instructions which, when run on a computer, cause the computer to perform the physical layer parameter configuration method described in the fourth aspect.
In a fourth aspect of the application, there is provided a computing device configured to: the physical layer parameter configuration method described in the fourth aspect is implemented by a processor and a computer program stored on the memory and executable on the processor when the processor executes the computer program.
In the technical scheme provided by the embodiment of the application, the configuration information of the target object is obtained; the configuration information comprises normalized channel frequency response variance, normalized channel power delay spectrum and normalized signal-to-noise ratio of the target object; inputting the configuration information into a physical layer parameter configuration network to obtain target parameters; the target parameters comprise a first parameter and/or a second parameter, wherein the first parameter is used for indicating the resolution of the high-efficiency long training field in the frequency domain subcarrier spacing, and the second parameter is used for indicating the length of the guard interval; and configuring a target protocol data unit (Presentation Protocol Data Unit, PPDU) by using the target parameters so as to realize data communication with the target object through the configured PPDU. The embodiment of the application can automatically configure the physical layer parameters matched with the PPDU transmission through the physical layer parameter configuration network, and avoid the degradation of demodulation performance caused by introducing excessive errors, thereby greatly reducing transmission overhead and improving transmission efficiency on the premise of ensuring the demodulation performance of a receiving end.
Drawings
The above, as well as additional purposes, features, and advantages of exemplary embodiments of the present application will become readily apparent from the following detailed description when read in conjunction with the accompanying drawings. Several embodiments of the present application are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:
FIG. 1 schematically illustrates a flow diagram of a physical layer parameter configuration method in accordance with the present application;
fig. 2 schematically shows a schematic diagram of a target protocol data unit according to the application;
fig. 3 and 4 schematically show a schematic structure of a physical layer parameter configuration network according to the present application;
FIG. 5 schematically illustrates a schematic diagram of a physical layer parameter configuration network training method according to the present application;
FIG. 6 schematically illustrates a structural diagram of a physical layer parameter configuration apparatus according to the present application;
FIG. 7 schematically illustrates a structural diagram of a computing device in accordance with the present application;
fig. 8 schematically shows a schematic structural diagram of a server according to the present application.
In the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.
Detailed Description
The principles and spirit of the present application will be described below with reference to several exemplary embodiments. It should be understood that these examples are given solely to enable those skilled in the art to better understand and practice the present application and are not intended to limit the scope of the present application in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Those skilled in the art will appreciate that embodiments of the application may be implemented as a system, apparatus, device, system, or computer program product. Accordingly, the present disclosure may be embodied in the following forms, namely: complete hardware, complete software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
Currently, in WLAN technology, physical layer parameters are closely related to data transmission. Taking the 802.11ax protocol as an example, there are four physical layer protocol data unit (physical layer protocol data unit, PPDU) formats, namely: HE SU PPDU, HE MU PPDU, HE ER PPDU, and HE TB PPDU. Wherein a high efficiency long training field (high efficiency long training field, HE-LTF) is used for channel estimation and a Data (Data) field is used for carrying Data.
In the related art, physical layer parameters, i.e., he_ltf_type and gi_type, together determine each OFDM symbol duration of the HE-LTF field, and gi_type determines each orthogonal frequency division multiplexing (orthogonal frequency-division multiplexing, OFDM) duration of the data field. And, he_ltf_type affects the sequence density of HE-LTF in frequency domain subcarriers. The longer each OFDM duration of the HE-LTF and data field, the more overhead is transmitted; whereas the less overhead is transmitted. Gi_type also determines the ability of the receiver to combat channel delay multipath.
In the data transmission process, in order to coordinate demodulation performance and transmission overhead of the receiving end, he_ltf_type and gi_type need to be configured efficiently, so as to avoid introducing excessive errors to deteriorate demodulation performance under the condition of ensuring demodulation performance of the receiving end.
In summary, a new solution is needed to solve the above technical problems.
In order to overcome the technical problems, according to an embodiment of the present application, a physical layer parameter configuration method, a physical layer parameter configuration device, and an electronic device are provided.
The applicant finds that, compared with the related art, the technical scheme of the embodiment of the application obtains the configuration information of the target object; the configuration information comprises normalized channel frequency response variance, normalized channel power delay spectrum and normalized signal-to-noise ratio of the target object; inputting the configuration information into a physical layer parameter configuration network to obtain target parameters; the target parameters comprise a first parameter and/or a second parameter, wherein the first parameter is used for indicating the resolution of the high-efficiency long training field in the frequency domain subcarrier spacing, and the second parameter is used for indicating the length of the guard interval; and configuring the PPDU by adopting the target parameters so as to realize data communication with the target object through the configured PPDU.
According to the technical scheme provided by the embodiment of the application, the physical layer parameters matched with the PPDU transmission can be automatically configured through the physical layer parameter configuration network, so that the degradation of demodulation performance caused by introducing excessive errors is avoided, the transmission overhead is greatly reduced on the premise of ensuring the demodulation performance of a receiving end, and the transmission efficiency is improved.
As an alternative embodiment, the number of physical layer parameter configuration devices may be one or more. The physical layer parameter configuration apparatus may be implemented as deployed in a communication system, or may be deployed in other forms in a communication application, which is not limited by the present application. For example, the physical layer parameter configuration apparatus may be provided in a processing device of various devices (e.g., terminal device, server).
Any number of elements in the figures are for illustration and not limitation, and any naming is used for distinction only, and not for any limiting sense.
A method for physical layer parameter configuration according to an exemplary embodiment of the present application is described below with reference to fig. 1 in conjunction with a specific application scenario. It should be noted that the above application scenario is only shown for the convenience of understanding the spirit and principle of the present application, and the embodiments of the present application are not limited in any way. Rather, embodiments of the application may be applied to any scenario where applicable.
The following describes the execution of the physical layer parameter configuration method in connection with the following embodiments. Fig. 1 is a flowchart of a physical layer parameter configuration method according to an embodiment of the present application. The method is applied to a processing module in a communication scene. As shown in fig. 1, the method comprises the steps of:
step 101, obtaining configuration information of a target object.
In the embodiment of the application, the target object can be a user terminal in a communication scene or can be a receiving terminal in other forms in the communication scene. The present application is mainly applied to various communication systems, for example, a communication system constructed based on a WLAN protocol, an OFDM communication system, and the like.
As an alternative embodiment, the obtaining the configuration information of the target object in step 101 may be implemented as: and responding to a transmission instruction of a target object, and taking normalized channel frequency response variance, normalized channel power delay spectrum and normalized signal-to-noise ratio of the target object as the configuration information. Wherein the transmission instruction includes an instruction to send the target protocol data unit to the target object.
In practical application, further optionally, the normalized channel frequency response variance, the normalized channel power delay spectrum and the normalized signal to noise ratio of the target object can be calculated through channel estimation when the PPDU is received, and the normalized channel frequency response variance, the normalized channel power delay spectrum and the normalized signal to noise ratio are used as the input of the physical layer parameter configuration network.
Optionally, the configuration information includes normalized channel frequency response variance, normalized channel power delay spectrum and normalized signal-to-noise ratio of the target object. E.g. normalized channel frequency response variance, normalized channel power delay profile, normalized signal to noise ratio of the target object.
Specifically, the normalized channel frequency response variance is used for comparing and unifying the channel frequency response variances of different signals. In the embodiment of the application, the normalized channel frequency response variance can be specifically expressed as the following formula:
wherein,,expressed as +.>The method specifically comprises the following steps:
wherein,,is->On subcarrier k>On the root antenna->Channel estimation on individual space-time streams, +.>Is the number of subcarriers, < >>Is the number of receiving antennas, < >>Is to receive space-time stream number,/-, and>is a scaling factor that normalizes the channel frequency response variance.
Specifically, the power delay profile (Power Delay Profile, PDP) refers to the amount of power in delay, i.e. obtained by squaring the channel impulse response (Channel Impulse Response, CIR) after time-domain averaging. The normalized channel power delay spectrum can be used for comparing and unifying the power delay spectrums of different signals. In the embodiment of the application, the normalized channel power delay spectrum can be specifically expressed as the following formula:
wherein,,representing the total number of beats. />Indicate->The power spectral density of the beat, in particular
Wherein,,for the +.>Specifically, it is
Wherein,,indicate->The power of the swatter>Is a scaling factor for normalizing the channel power delay profile.
Specifically, the signal-to-noise ratio (Signal Noise Ratio, SNR) is normalized for comparing and unifying the signal-to-noise ratios of different signals to assist in evaluating the interference immunity of the system. In practice, normalized signal-to-noise ratio is often used for data quality assessment in digital signal transmission. Alternatively, the normalized signal-to-noise ratio is obtained by dividing the signal-to-noise ratio by the theoretical optimum. The signal-to-noise ratio refers to the ratio of the strength of the received useful signal to the strength of the received interfering signal. In the embodiment of the present application, the normalized SNR can be specifically expressed as the following formula:
wherein the method comprises the steps ofIs the unnormalized SNR, +.>Is SNR guard threshold, ++>Is the scaling factor for the normalized SNR.
Step 102, inputting the configuration information into the physical layer parameter configuration network to obtain the target parameter.
Wherein the target parameters include a first parameter and/or a second parameter. The first parameter is used to indicate the HE-LTF subcarrier spacing resolution in the frequency domain, and the second parameter is used to indicate the length of the Guard Interval (GI).
In the embodiment of the application, the first parameter and the second parameter can be applied to various communication protocols. For example, the first parameter and the second parameter are physical layer parameters in the 802.11 ax/be protocol. The second parameter is, for example, a physical layer parameter in the 802.11 n/ac protocol.
Specifically, in the 802.11ax protocol, there are four physical layer PPDU formats: HE SU PPDU, HE MU PPDU, HE ER PPDU, and HE TB PPDU, as shown in fig. 2. Wherein the HE-LTF is used for channel estimation, and the Data (Data) field is used for carrying Data. Based on this, in the present application, the first parameter is HE_LTF_TYPE in TXVECTOR, and the value ranges are 1 xHE-LTF, 2 xHE-LTF and 4 xHE-LTF. The second parameter is GI_TYPE, and the value range is 0.8/1.6/3.2us.
In the related art, since he_ltf_type affects the sequence density of HE-LTF in the frequency domain subcarriers, specifically, 1x HE-LTF indicates that HE-LTF sequence is not 0 in every four data subcarriers, only one data subcarrier is not 0;2x HE-LTF means that HE-LTF sequence has only one data subcarrier other than 0 in every two data subcarriers; the 4x HE-LTF indicates that all data subcarriers of the HE-LTF sequence are not 0. Therefore, the receiving end channel estimation precision of the 4x HE-LTF is highest, the receiving end channel estimation precision of the 1x HE-LTF is lowest, and the 2x HE-LTF is arranged between the receiving end channel estimation precision and the receiving end channel estimation precision of the 1x HE-LTF.
On the other hand, in the related art, he_ltf_type also affects the duration of each GI-free OFDM symbol in the HE-LTF field, specifically, 1x HE-LTF is 3.2us;2 XHE-LTF is 6.4us; the 4 XHE-LTF was 12.8us. Gi_type affects the GI length of HE-LTF and data fields. Since physical layer parameters, i.e., he_ltf_type and gi_type, can jointly determine each OFDM symbol duration of the HE-LTF field, while gi_type determines each OFDM duration of the data field.
It should be noted that in the related art, the longer each OFDM duration of the HE-LTF and the data field, the more overhead of transmission; whereas the less overhead is transmitted. Furthermore, gi_type also determines the capability of the receiving end to combat channel delay multipath, 3.2us being the strongest to combat channel delay multipath, 0.8us being the weakest, and 1.6us being intermediate.
Therefore, in order to overcome the above-mentioned problems, in the embodiment of the present application, a physical layer parameter configuration method is provided, that is, in step 102, configuration information is input into a physical layer parameter configuration network to obtain a target parameter.
In the embodiment of the application, the physical layer parameter configuration network is a calculation model constructed based on a neural network.
In particular, in an alternative embodiment, the physical layer parameter configuration network may be a non-joint model, i.e., a first physical layer parameter configuration network for calculating the first parameter, and a second physical layer parameter configuration network for calculating the second parameter. The specific network structure can be seen in fig. 3. In fig. 3, the network structure on the left side is the first physical layer parameter configuration network, and the network structure on the right side is the second physical layer parameter configuration network.
Based on this network structure, step 102 may be implemented as: inputting the normalized signal-to-noise ratio and the normalized channel frequency response variance into a first physical layer parameter configuration network to obtain the first parameter; and inputting the normalized signal-to-noise ratio and the normalized channel power delay spectrum into a second physical layer parameter configuration network to obtain the second parameter.
In another alternative embodiment, the physical layer parameter configuration network may be a joint model, i.e. a third physical layer parameter configuration network for synchronously calculating the first parameter and the second parameter. The specific network structure can be seen in fig. 4.
Based on this network structure, step 102 may be implemented as: and inputting the normalized signal-to-noise ratio, the normalized channel frequency response variance and the normalized channel power delay spectrum into a third physical layer parameter configuration network to obtain a first parameter and/or a second parameter.
The purpose of the neural network of whatever structure type is to extract data features for generating physical layer parameters from input parameters, and then to fuse them into final output physical layer parameters based on network processing.
In the embodiment of the application, further optionally, a method for training the physical layer parameter configuration network is also provided. Specifically, as shown in fig. 5, the method for training the physical layer parameter configuration network includes the following steps:
step 501, obtaining a channel power delay spectrum sample;
step 502, generating a plurality of channels according to the channel power delay spectrum samples;
step 503, calculating respective channel frequency response variance samples of a plurality of channels through a physical layer parameter configuration network to be trained;
step 504, using the channels with the same channel frequency response variance sample as a group to obtain a plurality of channel groups;
step 505, respectively performing physical layer simulation processing on each channel group to obtain performance parameters of each sample combination to be evaluated under different normalized signal-to-noise ratios; the sample combination to be evaluated comprises a channel frequency response variance sample and a corresponding channel power delay spectrum sample; the performance parameters include at least a frame error rate;
and step 506, selecting a sample combination to be evaluated, which meets preset conditions, based on the performance parameters, and feeding back a selection result to a physical layer parameter configuration network to be trained so as to realize training of the physical layer parameter configuration network.
By cycling the steps 501 to 506, training of the physical layer parameter configuration network can be achieved, so that the quasi-removing performance of the physical layer parameter configuration is improved, and the data transmission efficiency is improved.
As an alternative embodiment, the obtaining of the channel power delay profile sample in step 501 may be implemented as any one of the following:
randomly generating the channel power delay spectrum sample; or acquiring the channel power time delay spectrum sample by a measuring instrument; or generating the channel power delay spectrum sample by adopting a channel model specified in a communication protocol. In practical applications, the Channel model is, for example, IEEE Channel A/B/C/D/E/F.
By cycling the steps 501 to 506, training of the physical layer parameter configuration network can be achieved, so that accuracy of physical layer parameter configuration is improved, and data transmission efficiency is improved.
As an alternative embodiment, the preset conditions referred to in step 506 include, but are not limited to: the frame error rate of the sample combination to be evaluated is lower than a preset frame error rate threshold. Therefore, the auxiliary physical layer parameter configuration network is convenient to generate target parameters with better frame error rate. Or, the data quality of the sample combination to be evaluated is higher than a preset quality threshold, so that the auxiliary physical layer parameter configuration network can generate target parameters with better data quality conveniently.
And 103, configuring the target protocol data unit by adopting the target parameters so as to realize data communication with the target object through the configured target protocol data unit.
In the embodiment of the application, the PPDU is the format of the presentation layer packet in OSI. In the PPDU packet structure, the leftmost field preferentially transmits and receives. In fields of multiple bytes, the least significant byte is sent or received preferentially, while in each byte the least significant bit (Least Significant Bit, LSB) is sent preferentially, as is the transfer of data fields between the presentation layer and the MAC layer.
In the embodiment of the application, the physical layer parameters matched with the PPDU transmission are automatically configured through the physical layer parameter configuration network, so that the degradation of demodulation performance caused by introducing excessive errors is avoided, the transmission overhead is greatly reduced on the premise of ensuring the demodulation performance of a receiving end, and the transmission efficiency is improved.
Having described the method of the embodiment of the present application, next, a physical layer parameter configuration apparatus of the embodiment of the present application will be described with reference to fig. 6.
The physical layer parameter configuration device 60 in the embodiment of the present application can implement the steps corresponding to the physical layer parameter configuration method in the embodiment corresponding to fig. 1. The functions implemented by the physical layer parameter configuration device 60 may be implemented by hardware, or may be implemented by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the functions described above, which may be software and/or hardware. The physical layer parameter configuration device 60 is applied to a server device or a terminal device. The functional implementation of each module in the physical layer parameter configuration apparatus 60 may refer to the operations performed in the embodiment corresponding to fig. 1, which are not described herein.
In some embodiments, an obtaining module 601 is configured to obtain configuration information of a target object; the configuration information comprises normalized channel frequency response variance, normalized channel power delay spectrum and normalized signal-to-noise ratio of the target object;
a generating module 602, configured to input the configuration information into a physical layer parameter configuration network to obtain a target parameter; the target parameters comprise a first parameter and/or a second parameter, wherein the first parameter is used for indicating the resolution of the high-efficiency long training field in the frequency domain subcarrier interval, and the second parameter is used for indicating the length of the guard interval;
a configuration unit 603, configured to configure a target protocol data unit with the target parameter, so as to implement data communication with the target object.
In some embodiments, the generating module 602 is configured to, when inputting the configuration information into the physical layer parameter configuration network to obtain the target parameter:
inputting the normalized signal-to-noise ratio and the normalized channel frequency response variance into a first physical layer parameter configuration network to obtain the first parameter;
inputting the normalized signal-to-noise ratio and the normalized channel power delay spectrum into a second physical layer parameter configuration network to obtain the second parameter;
wherein the first physical layer parameter configuration network and the second physical layer parameter configuration network are non-joint neural networks.
In some embodiments, the generating module 602 is configured to, when inputting the configuration information into the physical layer parameter configuration network to obtain the target parameter:
inputting the normalized signal-to-noise ratio, the normalized channel frequency response variance and the normalized channel power delay spectrum into a third physical layer parameter configuration network to obtain a first parameter and/or a second parameter;
wherein the third physical layer parameter configuration network is a federated neural network.
In some embodiments, the system further comprises a training module for
Obtaining a channel power time delay spectrum sample;
generating a plurality of channels according to the channel power delay spectrum samples;
calculating respective channel frequency response variance samples of a plurality of channels through a physical layer parameter configuration network to be trained;
taking channels with the same channel frequency response variance sample as a group to obtain a plurality of channel groups;
respectively carrying out physical layer simulation treatment on each channel group to obtain performance parameters of each sample combination to be evaluated under different normalized signal-to-noise ratios; the sample combination to be evaluated comprises a channel frequency response variance sample and a corresponding channel power delay spectrum sample; the performance parameters include at least a frame error rate;
and selecting a sample combination to be evaluated, which meets preset conditions, based on the performance parameters, and feeding back a selection result to a physical layer parameter configuration network to be trained so as to train the physical layer parameter configuration network.
In some embodiments, the training module, when obtaining the channel power delay profile samples, is configured to:
randomly generating the channel power delay spectrum sample; or alternatively
Acquiring the channel power time delay spectrum sample by a measuring instrument; or alternatively
And generating the channel power delay spectrum sample by adopting a channel model specified in a communication protocol.
In some embodiments, the preset conditions include: the frame error rate of the sample combination to be evaluated is lower than a preset frame error rate threshold.
In some embodiments, when the obtaining module 601 obtains the configuration information of the target object, the obtaining module is configured to:
responding to a transmission instruction of a target object, and taking normalized channel frequency response variance, normalized channel power delay spectrum and normalized signal-to-noise ratio of the target object as the configuration information;
wherein the transmission instruction includes an instruction to send the target protocol data unit to the target object.
In some embodiments, the first parameter and the second parameter are physical layer parameters in the 802.11 ax/be protocol; alternatively, the second parameter is a physical layer parameter in the 802.11 n/ac protocol.
In the embodiment of the application, the physical layer parameter configuration device can automatically configure the physical layer parameter matched with the PPDU transmission through the physical layer parameter configuration network, so that the degradation of demodulation performance caused by introducing excessive error is avoided, the transmission cost is greatly reduced on the premise of ensuring the demodulation performance of a receiving end, and the transmission efficiency is improved.
Having described the method and apparatus of the embodiments of the present application, a description will be given of a computer readable storage medium of the embodiments of the present application, which may be an optical disc, and a computer program (i.e., a program product) stored thereon, where the computer program, when executed by a processor, implements the steps described in the foregoing method embodiments, for example, obtaining configuration information of a target object; the configuration information comprises normalized channel frequency response variance, normalized channel power delay spectrum and normalized signal-to-noise ratio of the target object; inputting the configuration information into a physical layer parameter configuration network to obtain target parameters; the target parameters comprise a first parameter and/or a second parameter, wherein the first parameter is used for indicating the resolution of the high-efficiency long training field in the frequency domain subcarrier interval, and the second parameter is used for indicating the length of the guard interval; and configuring a target protocol data unit by adopting the target parameters so as to realize data communication with the target object through the configured target protocol data unit. The specific implementation of each step is not repeated here.
It should be noted that examples of the computer readable storage medium may also include, but are not limited to, a phase change memory (PRAM), a Static Random Access Memory (SRAM), a Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a flash memory, or other optical or magnetic storage medium, which will not be described in detail herein.
The physical layer parameter configuration device 40 in the embodiment of the present application is described above from the point of view of a modularized functional entity, and the server and the terminal device for executing the physical layer parameter configuration method in the embodiment of the present application are described below from the point of view of hardware processing, respectively.
It should be noted that, in the embodiment of the physical layer parameter configuration apparatus of the present application, the physical device corresponding to the obtaining module 601 shown in fig. 6 may be an input/output unit, a transceiver, a radio frequency circuit, a communication module, an input/output (I/O) interface, etc., and the physical device corresponding to other modules may be a processor. The physical layer parameter configuration apparatus 60 shown in fig. 6 may have a structure as shown in fig. 7, and when the physical layer parameter configuration apparatus 60 shown in fig. 6 has a structure as shown in fig. 7, the processor and the transceiver in fig. 7 can implement the same or similar functions as those of the respective modules provided in the foregoing apparatus embodiment corresponding to the apparatus, and the memory in fig. 7 stores a computer program to be called when the processor executes the above-described physical layer parameter configuration method.
Fig. 8 is a schematic diagram of a server structure according to an embodiment of the present application, where the server 1100 may have a relatively large difference between configurations or performances, and may include one or more central processing units (central processing units, CPU) 1122 (e.g., one or more processors) and a memory 1132, and one or more storage mediums 1130 (e.g., one or more mass storage devices) storing application programs 1142 or data 1144. Wherein the memory 1132 and the storage medium 1130 may be transitory or persistent. The program stored on the storage medium 1130 may include one or more modules (not shown), each of which may include a series of instruction operations on a server. Still further, the central processor 1122 may be provided in communication with a storage medium 1130, executing a series of instruction operations in the storage medium 1130 on the server 1100.
The Server 1100 may also include one or more power supplies 1126, one or more wired or wireless network interfaces 1150, one or more input-output interfaces 1158, and/or one or more operating systems 1141, such as Windows Server, mac OS X, unix, linux, freeBSD, and the like.
The steps performed by the server in the above embodiments may be based on the structure of the server 1100 shown in fig. 8. For example, the steps performed by the physical layer parameter configuration apparatus 80 shown in fig. 8 in the above-described embodiment may be based on the server structure shown in fig. 8. For example, the CPU 1122 may perform the following operations by calling instructions in the memory 1132:
acquiring configuration information of the target object through the input-output interface 1158; the configuration information comprises normalized channel frequency response variance, normalized channel power delay spectrum and normalized signal-to-noise ratio of the target object; inputting the configuration information into a physical layer parameter configuration network to obtain target parameters; the target parameters comprise a first parameter and/or a second parameter, wherein the first parameter is used for indicating the resolution of the high-efficiency long training field in the frequency domain subcarrier interval, and the second parameter is used for indicating the length of the guard interval; and configuring a target protocol data unit by adopting the target parameters so as to realize data communication with the target object through the configured target protocol data unit.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the systems, apparatuses and modules described above may refer to the corresponding processes in the foregoing method embodiments, which are not repeated herein.
In the embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium.
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 the computer program is loaded and executed on a computer, the flow or functions according to the embodiments of the present application are fully or partially produced. 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 a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, 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 stored 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.
The above description has been made in detail on the technical solutions provided by the embodiments of the present application, and specific examples are applied in the embodiments of the present application to illustrate the principles and implementation manners of the embodiments of the present application, where the above description of the embodiments is only for helping to understand the methods and core ideas of the embodiments of the present application; meanwhile, as for those skilled in the art, according to the idea of the embodiment of the present application, there are various changes in the specific implementation and application scope, and in summary, the present disclosure should not be construed as limiting the embodiment of the present application.
Claims (9)
1. A physical layer parameter configuration method, comprising:
acquiring configuration information of a target object; the configuration information comprises normalized channel frequency response variance, normalized channel power delay spectrum and normalized signal-to-noise ratio of the target object;
inputting the configuration information into a physical layer parameter configuration network to obtain target parameters; the target parameters comprise a first parameter and/or a second parameter, wherein the first parameter is used for indicating the resolution of the high-efficiency long training field in the frequency domain subcarrier interval, and the second parameter is used for indicating the length of the guard interval;
configuring a target protocol data unit by adopting the target parameters so as to realize data communication with the target object through the configured target protocol data unit;
the method for training the physical layer parameter configuration network comprises the following steps:
obtaining a channel power time delay spectrum sample;
generating a plurality of channels according to the channel power delay spectrum samples;
calculating respective channel frequency response variance samples of a plurality of channels through a physical layer parameter configuration network to be trained;
taking channels with the same channel frequency response variance sample as a group to obtain a plurality of channel groups;
respectively carrying out physical layer simulation treatment on each channel group to obtain performance parameters of each sample combination to be evaluated under different normalized signal-to-noise ratios; the sample combination to be evaluated comprises a channel frequency response variance sample and a corresponding channel power delay spectrum sample; the performance parameters include at least a frame error rate;
and selecting a sample combination to be evaluated, which meets preset conditions, based on the performance parameters, and feeding back a selection result to a physical layer parameter configuration network to be trained so as to train the physical layer parameter configuration network.
2. The method of claim 1, wherein the inputting the configuration information into a physical layer parameter configuration network to obtain a target parameter comprises:
inputting the normalized signal-to-noise ratio and the normalized channel frequency response variance into a first physical layer parameter configuration network to obtain the first parameter;
inputting the normalized signal-to-noise ratio and the normalized channel power delay spectrum into a second physical layer parameter configuration network to obtain the second parameter;
wherein the first physical layer parameter configuration network and the second physical layer parameter configuration network are non-joint neural networks.
3. The method of claim 1, wherein the inputting the configuration information into a physical layer parameter configuration network to obtain a target parameter comprises:
inputting the normalized signal-to-noise ratio, the normalized channel frequency response variance and the normalized channel power delay spectrum into a third physical layer parameter configuration network to obtain a first parameter and/or a second parameter;
wherein the third physical layer parameter configuration network is a federated neural network.
4. The method of claim 1, wherein the obtaining the channel power delay profile samples comprises:
randomly generating the channel power delay spectrum sample; or alternatively
Acquiring the channel power time delay spectrum sample by a measuring instrument; or alternatively
And generating the channel power delay spectrum sample by adopting a channel model specified in a communication protocol.
5. The method of claim 1, wherein the preset conditions include: the frame error rate of the sample combination to be evaluated is lower than a preset frame error rate threshold.
6. A method according to any one of claims 1 to 3, wherein the obtaining the configuration information of the target object includes:
responding to a transmission instruction of a target object, and taking normalized channel frequency response variance, normalized channel power delay spectrum and normalized signal-to-noise ratio of the target object as the configuration information;
wherein the transmission instruction includes an instruction to send the target protocol data unit to the target object.
7. A method as claimed in any one of claims 1 to 3, wherein the first parameter and the second parameter are physical layer parameters in the 802.11 ax/be protocol; or alternatively
The second parameter is a physical layer parameter in the 802.11 n/ac protocol.
8. A physical layer parameter configuration apparatus, the apparatus comprising:
the acquisition module is used for acquiring configuration information of the target object; the configuration information comprises normalized channel frequency response variance, normalized channel power delay spectrum and normalized signal-to-noise ratio of the target object;
the generation module is used for inputting the configuration information into a physical layer parameter configuration network to obtain target parameters; the target parameters comprise a first parameter and/or a second parameter, wherein the first parameter is used for indicating the resolution of the high-efficiency long training field in the frequency domain subcarrier interval, and the second parameter is used for indicating the length of the guard interval;
the configuration unit is used for configuring a target protocol data unit by adopting the target parameters so as to realize data communication with the target object;
the method for training the physical layer parameter configuration network specifically comprises the following steps:
obtaining a channel power time delay spectrum sample;
generating a plurality of channels according to the channel power delay spectrum samples;
calculating respective channel frequency response variance samples of a plurality of channels through a physical layer parameter configuration network to be trained;
taking channels with the same channel frequency response variance sample as a group to obtain a plurality of channel groups;
respectively carrying out physical layer simulation treatment on each channel group to obtain performance parameters of each sample combination to be evaluated under different normalized signal-to-noise ratios; the sample combination to be evaluated comprises a channel frequency response variance sample and a corresponding channel power delay spectrum sample; the performance parameters include at least a frame error rate;
and selecting a sample combination to be evaluated, which meets preset conditions, based on the performance parameters, and feeding back a selection result to a physical layer parameter configuration network to be trained so as to train the physical layer parameter configuration network.
9. An electronic device comprising a memory and one or more processors; wherein the memory is for storing computer program code, the computer program code comprising computer instructions; the computer instructions, when executed by the processor, cause the electronic device to perform the physical layer parameter configuration method of any one of claims 1 to 7.
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