CN117440055A - Uplink data compression method and related device - Google Patents

Uplink data compression method and related device Download PDF

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CN117440055A
CN117440055A CN202210834861.4A CN202210834861A CN117440055A CN 117440055 A CN117440055 A CN 117440055A CN 202210834861 A CN202210834861 A CN 202210834861A CN 117440055 A CN117440055 A CN 117440055A
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data
data frame
compression
actual
standard
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洪龙龙
黄宏
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Ruijie Networks Co Ltd
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Ruijie Networks Co Ltd
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Abstract

The application discloses an uplink data compression method and a related device, and relates to the technical field of data compression. In the method, an uplink signal sent by a target terminal is received, and a signal modulation mode of the uplink signal is determined from data coding types of data frames contained in the uplink signal; then, based on the actual constellation points of the data frame and the actual point position coordinates on the standard constellation diagram corresponding to the signal modulation mode, determining the compression residual error information of the data frame; finally, the data frame is data-compressed based on the compressed residual error information and a data fidelity threshold set for the signal type of the upstream signal. By adopting the mode, the accuracy of data compression of the uplink data is improved, and the transmission rate of the uplink data is effectively reduced.

Description

Uplink data compression method and related device
Technical Field
The present disclosure relates to the field of data compression technologies, and in particular, to an uplink data compression method and a related device.
Background
In a mobile communication system, a base station mainly comprises a baseband processing unit (English: building Base band Unit, abbreviated: BBU) and a remote radio unit (English: radio Remote Unit, abbreviated: RRU), which are connected by an optical fiber or a cable.
Therefore, the BBU and the RRU are connected by adopting the optical fiber or the cable, so that the transmission rate of uplink data is very high when the RRU transmits uplink data; further, in order to reduce the data traffic of the RRU and the BBU and reduce the transmission cost, on the premise of meeting the data transmission performance, a certain data compression can be performed on the uplink data, so as to reduce the data bit width of the uplink data.
In the prior art, in order to compress uplink data, in-phase data (i.e., I data) and quadrature data (i.e., Q data) with the largest absolute value are generally searched from a group of data to be compressed contained in a received radio frequency signal, and then the number M of valid bits of the I data with the largest absolute value and the number N of valid bits of the Q data with the largest absolute value are determined; then, according to the effective bit number M and the compressed target bit width number X, generating a first compression factor for compressing I data, and according to the effective bit number N and the compressed target bit width number X, generating a second compression factor for compressing Q data; and finally, carrying out data compression on each I data in the group of data to be compressed by adopting a first compression factor, and carrying out data compression on each Q data in the group of data to be compressed by adopting a second compression factor.
Therefore, by adopting the data compression method of the uplink data, each I data in the group of data to be compressed is subjected to data compression according to the first compression factor corresponding to the I data with the largest absolute value, and each Q data in the group of data to be compressed is subjected to data compression according to the second compression factor corresponding to the Q data with the largest absolute value, so that the data compression of the uplink data can be performed with lower complexity.
However, if the compression of the upstream data is inaccurate, i.e., the first compression factor, and/or the second compression factor is problematic, the subsequent decompression operation cannot be accurately completed, and thus, the accurate upstream data cannot be obtained.
Therefore, in the above-described method, it is difficult to ensure accurate data compression of the uplink data.
Disclosure of Invention
The embodiment of the application provides an uplink data compression method and a related device, which are used for improving the accuracy of data compression on uplink data.
In a first aspect, an embodiment of the present application provides an uplink data compression method, where the method includes:
receiving an uplink signal sent by a target terminal, and determining a signal modulation mode of the uplink signal based on the data coding type of each data frame contained in the uplink signal;
Determining compression residual error information of the data frame based on actual constellation points of the data frame and actual point position coordinates on a standard constellation diagram corresponding to a signal modulation mode; wherein, actual constellation point characterization: the amplitude-phase characteristics of the data frames, the standard constellation includes: at least one standard constellation point and standard point location coordinates thereof;
based on the compression residual error information and a data fidelity threshold set for the signal type of the uplink signal, carrying out data compression on the data frame; wherein, data fidelity threshold representation: number of data bits after data frame compression.
In a second aspect, an embodiment of the present application further provides an uplink data compression device, where the device includes:
the receiving module is used for receiving the uplink signal sent by the target terminal and determining a signal modulation mode of the uplink signal based on the data coding type of each data frame contained in the uplink signal;
the processing module is used for determining compression residual error information of the data frame based on the actual constellation points of the data frame and the actual point position coordinates on the standard constellation diagram corresponding to the signal modulation mode; wherein, actual constellation point characterization: the amplitude-phase characteristics of the data frames, the standard constellation includes: at least one standard constellation point and standard point location coordinates thereof;
The compression module is used for carrying out data compression on the data frames based on the compression residual error information and a data fidelity threshold value set for the signal type of the uplink signal; wherein, data fidelity threshold representation: number of data bits after data frame compression.
In one possible embodiment, when determining the compressed residual error information of the data frame based on the actual constellation point of the data frame and the actual positioning coordinates on the standard constellation corresponding to the signal modulation mode, the processing module is specifically configured to:
based on the amplitude-frequency characteristic of the data frame, determining actual constellation points and corresponding actual point location coordinates of the data frame in a standard constellation diagram;
screening out target point position coordinates from standard point position coordinates of at least one standard constellation point contained in a standard constellation diagram; the target point position coordinates and the actual point position coordinates meet a preset coordinate mapping relation;
and obtaining the coordinate distance between the target point position coordinates and the actual point position coordinates, and determining the compression residual error information of the data frame based on the coordinate distance.
In one possible embodiment, when the target point location coordinates are screened from the standard point location coordinates of each of at least one standard constellation point included in the standard constellation, the processing module is specifically configured to:
In the standard constellation diagram, a standard abscissa adjacent to an actual abscissa included in an actual point position coordinate in a set abscissa direction is obtained, and a standard ordinate adjacent to an actual ordinate included in the actual point position coordinate in a set ordinate direction is obtained;
and obtaining corresponding standard point coordinates based on the standard abscissa and the standard ordinate, and taking the standard point coordinates as target point coordinates.
In one possible embodiment, when obtaining the coordinate distance between the target point location coordinate and the actual point location coordinate, and determining the compressed residual error information of the data frame based on the coordinate distance, the processing module is specifically configured to:
acquiring an abscissa distance between the coordinates of the target point and the actual point and an ordinate distance;
determining first sub-compression residual error information of the data frame based on a transverse distance section to which the abscissa distance belongs, and determining second sub-compression residual error information of the data frame based on a longitudinal distance section to which the ordinate distance belongs;
and obtaining the compressed residual error information of the data frame based on the first sub-compressed residual error information and the second sub-compressed residual error information.
In a possible embodiment, when performing data compression on a data frame based on the obtained compression residual error information and a data fidelity threshold set for a signal type of an uplink signal, the compression module is specifically configured to:
Obtaining an error coding bit number associated with a signal type of an uplink signal; wherein, the error coding bit number characterizes: compressing the coding bit number of the residual error information;
obtaining a data fidelity threshold corresponding to the signal type based on the error coding bit number and the point position coding bit number of the standard constellation diagram;
and carrying out data compression on the data frame according to the compression residual error information and the data fidelity threshold.
In a possible embodiment, after data compression of the data frame based on the obtained compressed residual error information, the compression module is further configured to:
obtaining each distance deviation; each distance deviation is the distance deviation between the actual point position coordinates and the target point position coordinates of each data frame after compression in the uplink signal;
based on the distance deviations, an average deviation is obtained, and the average deviation is used as a compression error for data compression of the data frames of the uplink signals.
In a third aspect, the present application provides a communication system comprising: the radio remote unit RRU and the baseband processing unit BBU;
the RRU is used for receiving an uplink signal from the target terminal, determining a signal modulation mode of the uplink signal based on a data coding type of a data frame contained in the uplink signal, determining compression residual error information of the data frame based on an actual constellation point of the data frame and an actual point position coordinate on a standard constellation corresponding to the signal modulation mode, performing data compression on the data frame based on the compression residual error information and a data fidelity threshold set for the signal type of the uplink signal, and transmitting the compressed data frame, the compression residual error information and the data fidelity threshold to the BBU; the standard constellation diagram comprises at least one standard constellation point and standard point position coordinates thereof, and the data fidelity threshold value represents the number of data bits after the data frame is compressed;
And the BBU is used for receiving the compressed data frame, compressing residual error information and a data fidelity threshold value, and decompressing the compressed data frame based on the compressed residual error information and the data fidelity threshold value.
In a fourth aspect, the present application provides an electronic device, including:
a memory for storing program instructions;
and the processor is used for realizing the steps of the uplink data compression method when the program instructions stored in the memory are called.
In a fifth aspect, the present application provides a computer readable storage medium having stored therein a computer program which, when executed by a processor, implements an uplink data compression method step according to the first aspect.
In a sixth aspect, the present application provides a computer program product which, when invoked by a computer, causes the computer to perform the steps of the upstream data compression method as described in the first aspect.
The beneficial effects of the application are as follows:
in the uplink data compression method provided by the embodiment of the application, an uplink signal sent by a target terminal is received, and a signal modulation mode of the uplink signal is determined from a data coding type of a data frame contained in the uplink signal; then, based on the actual constellation points of the data frame and the actual point position coordinates on the standard constellation diagram corresponding to the signal modulation mode, determining the compression residual error information of the data frame; finally, the data frame is data-compressed based on the compressed residual error information and a data fidelity threshold set for the signal type of the upstream signal. By adopting the mode, the data frame is compressed according to the compression residual error information of the data frame and the data fidelity threshold value set for the signal type of the uplink signal, so that the technical defect that in the prior art, if the compression of the uplink data is inaccurate, namely, the first compression factor and/or the second compression factor has problems, the subsequent decompression operation cannot be accurately completed, and therefore, the accurate uplink data cannot be obtained is avoided, the accuracy of data compression of the uplink data is improved, and the transmission rate of the uplink data is effectively reduced.
Furthermore, other features and advantages of the application will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
Drawings
FIG. 1 illustrates an alternative schematic diagram of an application scenario of an embodiment of the present application;
fig. 2 schematically illustrates a compression position of uplink data compression according to an embodiment of the present application;
fig. 3 is a schematic flow chart illustrating an uplink data compression method according to an embodiment of the present application;
FIG. 4 is a schematic diagram schematically illustrating a logic for determining compression residual error information corresponding to each data frame according to an embodiment of the present application;
fig. 5 is a schematic flow chart of a method for determining compression residual error information corresponding to each data frame according to an embodiment of the present application;
fig. 6 illustrates a standard constellation of 256QAM provided in an embodiment of the present application;
fig. 7 is a schematic view of a scenario illustrating a coordinate mapping method according to an embodiment of the present application;
FIG. 8 schematically illustrates a scenario of another coordinate mapping method provided in an embodiment of the present application;
FIG. 9 is a schematic diagram illustrating a scenario of compressed residual error information classification according to an embodiment of the present application;
FIG. 10 is a schematic diagram illustrating a logic for obtaining compressed residual error information according to an embodiment of the present application;
fig. 11 schematically illustrates a specific application scenario based on fig. 3 according to an embodiment of the present application;
FIG. 12 is a schematic diagram illustrating a decompression method according to an embodiment of the present application;
fig. 13 is a schematic structural diagram of an uplink data compression device according to an embodiment of the present application;
fig. 14 schematically illustrates a structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to improve the accuracy of data compression of uplink data and effectively reduce the transmission rate of the uplink data, in the uplink data compression method provided by the embodiment of the application, an uplink signal sent by a target terminal is received, and a signal modulation mode of the uplink signal is determined from the data coding type of a data frame contained in the uplink signal; then, based on the actual constellation points of the data frame, determining compression residual error information of the data frame on the actual point position coordinates of the standard constellation diagram corresponding to the signal modulation mode; finally, the data frame is data-compressed based on the compressed residual error information and a data fidelity threshold set for the signal type of the upstream signal.
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the technical solutions of the present application, but not all embodiments. All other embodiments, which can be made by a person of ordinary skill in the art without any inventive effort, based on the embodiments described in the present application are intended to be within the scope of the technical solutions of the present application.
It should be noted that "a plurality of" is understood as "at least two" in the description of the present application. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. A is connected with B, and can be represented as follows: both cases of direct connection of A and B and connection of A and B through C. In addition, in the description of the present application, the words "first," "second," and the like are used merely for distinguishing between the descriptions and not be construed as indicating or implying a relative importance or order.
Before describing the uplink data compression method provided in the embodiments of the present application, for convenience of understanding, technical terms related to the embodiments of the present application are first described below.
(1) Quadrature amplitude modulation (english: quadrature Amplitude Modulation, abbreviation: QAM): the method is a non-special modulation mode which encodes digital information on wireless, wired or optical fiber transmission links and combines two modulation methods of amplitude and phase; and, it is an extension of the multi-phase shift keying, the most basic difference between the two is that there is no fixed envelope in QAM, but there is a fixed envelope in phase shift keying; further, having a high spectrum utilization, and may have any number of discrete digital levels, may include: 16QAM, 64QAM, 256QAM, etc.
The QAM uses a sine carrier and a cosine carrier with the same frequency components to transfer information, the phase difference between the two is 90 °, the signal corresponding to the sine carrier is called an I signal, and the signal corresponding to the cosine carrier is called a Q signal.
It should be noted that, the uplink data compression method provided in the embodiment of the present application is applicable to various signal modulation modes with standard constellation diagrams, and for convenience of description and understanding, the signal modulation modes are described by taking various QAM modulation as an example, and specifically taking 256QAM as an example.
(2) Quadrature phase shift keying (Quadrature Phase Shift Keying, QPSK): the method is quaternary phase modulation, has good anti-noise characteristic and frequency band utilization rate, is widely applied to communication services such as satellite links, digital clusters and the like, and is a digital modulation mode.
(3) Channel equalization: the mechanism of the anti-fading measure adopted for improving the transmission performance of a communication system in a fading channel is to compensate the characteristics of the channel or the whole transmission system, and the data rate is different and balanced in various structural modes aiming at the characteristics of constant parameters or variable parameters of the channel, so that the problem of Inter-code crosstalk (English: inter-Symbol Interference, abbreviated: ISI) caused by multipath time delay in broadband communication is eliminated or weakened, and the method is divided into two main types: linear and nonlinear equalization.
(4) Standard constellation: it is helpful to define the amplitude and phase of the signal element (i.e., the data frame) to include at least one standard constellation point, where each standard constellation point corresponds to a respective data frame. Obviously, each time the coded information corresponding to one standard constellation point is transmitted, the transmission of the corresponding data frame can be realized.
(5) Analog-to-digital converter (English: analog-to-digital converter, abbreviation: ADC): generally, an electronic component converts an analog signal into a digital signal, and converts an input voltage signal into an output digital signal.
(6) Cyclic Prefix (english: cyclic Prefix, abbreviation: CP): a prefix referring to one symbol, for example, has the end of repetition in an orthogonal frequency division multiplexing (english: orthogonal Frequency Division Multiplexing, abbreviated: OFDM) wireless system, so the receiver is generally configured to discard CPs that can be used to combat the effects of multipath propagation.
(7) Fast fourier transform (english: fast Fourier Transformation, abbreviation: FFT): is a generic term for efficient, fast computing methods that utilize computers to compute discrete fourier transforms.
(8) And (5) de-resource mapping: the method is used for the receiving end to accurately acquire the data information sent by the sending end. For example, the transmitting end may send the reference signal together with the physical downlink shared channel (english: physical Downlink Shared Channel, abbreviated: PDSCH) data, that is, the reference signal may multiplex the resources allocated to the PDSCH data (may be referred to as PDSCH resources), and once the resource multiplexing occurs, the receiving end needs to find out the mapping position (may be abbreviated as resource mapping) of the reference signal multiplexed PDSCH resources to determine the mapping position of the time-frequency resource actually carrying the PDSCH data in the PDSCH resources.
(9) Soft demodulation: in order to improve the reliability of the communication system, errors in transmission are often corrected by applying efficient channel coding, however, soft information of codewords is needed for decoding of the channel coding, which requires soft demodulation technology to obtain log likelihood ratio information of the codewords, namely soft information, and in summary, probability soft information for outputting constellation points in a constellation diagram, and the performance is good although the implementation is complex.
It should be noted that the above technical term naming manner is only an example, and the embodiments of the present application do not limit the naming manner of the technical term.
In particular, the following description of the preferred embodiments of the present application is given in conjunction with the accompanying drawings, and it is to be understood that the preferred embodiments described herein are merely illustrative and explanatory of the application and are not restrictive of the application, and that the embodiments and features of the embodiments may be combined with each other without conflict.
Fig. 1 is a schematic view of an application scenario according to an embodiment of the present application, where the application scenario at least includes: target terminal 101 and base station 102, wherein base station 102 comprises at least: RRU103 and BBU104. The target terminal 101 and the base station 102 may perform information interaction through a communication network, where a communication manner adopted by the communication network may include: wireless communication and wired communication.
By way of example, the target terminal 101 may access the network and communicate with the base station 102 via cellular mobile communication technology, which may include 5G mobile communication technology.
The number of the devices is not limited in this embodiment, and as shown in fig. 1, only one target terminal 101 and one base station 102 are taken as an example for description, and the above parts of devices or modules are briefly described below.
The target terminal 101 is a device that can provide voice and/or data connectivity to a user, comprising: a handheld terminal device with a wireless connection function, a vehicle-mounted terminal device, and the like.
Exemplary target terminals 101 include, but are not limited to: a mobile phone, a tablet computer, a notebook computer, a palm computer, a mobile internet device (english: mobile Internet Device, abbreviated: MID), a wearable device, a Virtual Reality (english: VR) device, an augmented Reality (english: augmented Reality, abbreviated: AR) device, a wireless terminal device in industrial control, a wireless terminal device in unmanned driving, a wireless terminal device in smart grid, a wireless terminal device in transportation safety, a wireless terminal device in smart city, a wireless terminal device in smart home, or the like.
The target terminal 101 may be provided with a client, which may be software, such as an Application (APP), a browser, short video software, or a web page, an applet, or the like. In the embodiment of the present application, the target terminal 101 may be configured to send an uplink signal to the base station 102.
The RRU103 may obtain a time domain signal corresponding to the uplink signal sent by the target terminal 101 via the radio frequency module, and obtain a corresponding uplink frequency domain signal through signal conversion from time domain to frequency domain; further, the RRU103 performs a resource de-mapping, channel estimation and channel equalization processing on the uplink frequency domain signal to obtain an equalized and normalized uplink frequency domain signal; finally, the RRU103 performs data compression on each data frame included in the equalized and normalized uplink frequency domain signal, and referring to fig. 2, a schematic diagram of a compression position of uplink data compression is provided in the embodiment of the present application.
It should be noted that, as long as the OFDM technology is adopted for the uplink signal, frequency domain data compression can be achieved, and therefore, in the embodiment of the present application, the uplink signal is described by taking the example of converting the time domain into the frequency domain signal.
Particularly, in the data compression process of the RRU103 in this embodiment of the present application, the RRU is configured to receive an uplink signal sent by a target terminal, and determine a signal modulation manner of the uplink signal based on a data coding type of a data frame included in the uplink signal; then, based on the actual constellation points of the data frame, determining compression residual error information of the data frame on the actual point position coordinates of the standard constellation diagram corresponding to the signal modulation mode; finally, data frames are respectively subjected to data compression based on the obtained compression residual error information and a data fidelity threshold set for the signal type of the uplink signal.
BBU104, configured to perform data decompression on each data frame compressed by RRU103, and soft demodulation on a corresponding uplink signal; specifically, in the embodiment of the present application, BBU104 is configured to receive the compressed data frame sent by the RRU and the corresponding compressed residual error information and the data fidelity threshold, and decompress the compressed data frame based on the compressed residual error information and the data fidelity threshold.
In addition, it should be further noted that the embodiments of the present application may be applied to various scenarios, including but not limited to cloud technology, artificial intelligence, intelligent transportation, driving assistance, and the like.
The uplink data compression method provided in the exemplary embodiments of the present application will be described below with reference to the accompanying drawings in conjunction with the above-described application scenario, and it should be noted that the above-described application scenario is only shown for the convenience of understanding the spirit and principles of the present application, and embodiments of the present application are not limited in any way in this respect.
Referring to fig. 3, a flowchart of an implementation of an uplink data compression method according to an embodiment of the present application is shown, taking an execution body as an RRU as an example, and the implementation flow of the method is as follows:
s301: and receiving an uplink signal sent by the target terminal, and determining a signal modulation mode of the uplink signal based on the data coding type of the data frame contained in the uplink signal.
Specifically, when step S301 is executed, after the RRU receives an uplink signal sent by the target terminal, the uplink signal is sampled by the ADC under the sampling clock, so as to obtain a corresponding uplink time domain signal; then, performing CP removal and FFT conversion to convert the uplink time domain signal into an uplink frequency domain signal; further, performing de-resource mapping, channel estimation and channel equalization on the obtained uplink frequency domain signal; and finally, determining the signal modulation mode of the uplink signal according to the data coding type of the data frame contained in the uplink frequency domain signal after the equalization normalization processing and the corresponding relation between the data coding type and the signal modulation mode.
Illustratively, the data encoding type of the data frame may be: binary coding, quaternary coding, hexa-coding and octal coding, wherein the data coding types of all data frames contained in the same uplink signal are the same, and for the uplink signal of the data frame coded by adopting different data coding types, the signal modulation modes corresponding to the data coding types are shown in table 1:
TABLE 1
Data coding type 2bit encoding 4bit encoding 6bit encoding 8bit encoding
Signal modulation mode QPSK 16QAM 64QAM 256QAM
Based on the above table, the RRU may determine the signal modulation mode of the corresponding uplink signal according to the data coding type of the data frame, and, taking 8bit coding as an example, when determining that the data coding type of the data frame is 8bit coding, the RRU may determine that the signal modulation mode of the corresponding uplink signal is 256QAM based on the correspondence between the data coding type and the signal modulation mode.
It should be noted that, since the initial bit widths of the I signal and the Q signal in the uplink frequency domain signal are generally larger, a corresponding signal modulation mode needs to be determined according to the data coding type of each data frame, so that the bit widths of the I signal and the Q signal are reduced according to the standard constellation diagram corresponding to the signal modulation mode, for example, if the bit widths of the I signal and the Q signal are both 16 bits, the data frame corresponding to the 32bit I signal and the Q signal can be compressed into 10 bits according to the uplink data compression method provided by the embodiment of the present application.
S302: and determining compression residual error information of the data frame based on the actual constellation points of the data frame and the actual point position coordinates on the standard constellation diagram corresponding to the signal modulation mode.
Specifically, referring to fig. 4, when step S302 is performed, after determining a signal modulation mode corresponding to an uplink signal, the RRU may determine, according to respective actual constellation points of each data frame, actual point location coordinates on a standard constellation diagram corresponding to the signal modulation mode, and a preset compression residual error information selection rule, compression residual error information corresponding to each data frame, where each data frame is included in the corresponding uplink signal (typically, the uplink signal includes more than one data frame); wherein each actual constellation point characterizes: the standard constellation includes: at least one standard constellation point and standard point location coordinates thereof.
In one possible implementation manner, when the RRU determines the compression residual error information corresponding to each data frame, for each data frame, an implementation flow chart of an uplink data compression method shown in fig. 5 is executed separately, and a specific implementation flow of the method is as follows:
s501: based on the amplitude-frequency characteristic of the data frame, in the standard constellation diagram, the actual constellation point and the corresponding actual point position coordinate of the data frame are determined.
Exemplary, in performing step S501, referring to FIG. 6, a 256QA is provided for the present applicationM standard constellation, RRU after obtaining amplitude frequency characteristic of data frame, determining actual constellation point and corresponding actual point position coordinate of the data frame in 256QAM standard constellation, for example, according to amplitude frequency characteristic Am-Fre.Cha1 of data frame A, determining actual constellation point act.CstPoint1 of data frame A and corresponding actual point position coordinate (X 1 ，Y 1 )。
In the standard constellation, the standard point coordinates of each standard constellation point are expressed as (S xi ，S yi )，S xi ，S yi E (-15 d:2d:15 d), i.e. the spacing between the standard abscissas of adjacent standard constellation points is 2d, wherein,Max(S xi )＝15d，Min(S xi )＝-15d，Max(S yi )＝15d，Min(S yi ) As can be seen from the above, the standard constellation of 256QAM contains 256 standard constellation points in total; further, if the signal modulation mode corresponding to the uplink signal is M-order QAM, it is easy to know that the number of standard constellation points included in the corresponding standard constellation is 2 M 。
S502: and screening out the target point position coordinates from the standard point position coordinates of at least one standard constellation point contained in the standard constellation diagram.
The target point position coordinates and the actual point position coordinates meet a preset coordinate mapping relation.
Specifically, when step S502 is executed, after determining the actual constellation point and the corresponding actual point location coordinate of the data frame, the RRU obtains, in the standard constellation diagram, a standard abscissa adjacent to the actual abscissa included in the actual point location coordinate in the set abscissa direction, and obtains a standard ordinate adjacent to the actual ordinate included in the actual point location coordinate in the set ordinate direction.
For example, referring to fig. 7, a logic diagram of a coordinate mapping method according to an embodiment of the present application is shown, and it is not difficult to find that the coordinate mapping method is a sitting with coordinates rounded downwardThe mapping method, for example, assumes the actual constellation point act.cstpoint2 of the data frame, corresponding to the actual point location coordinate (X 2 ，Y 2 ) = (12.5 d, -5.2 d), then based on the above-mentioned coordinate mapping method, the actual abscissa X contained in the coordinate of the actual point location in the downward rounded abscissa direction can be determined 2 Standard abscissa S adjacent to 12.5d x2 =11d, and determining the true ordinate Y comprised by the true point coordinates in the downward rounded ordinate direction 2 Standard ordinate S of = -5.2d adjacency y2 ＝-7d。
Wherein, the RRU respectively corresponds to the actual point location coordinates (X i ，Y i ) Respectively converted into corresponding standard point coordinates (S xi ，S yi ) The formula corresponding to the coordinate mapping relation of the formula is as follows:
wherein X is comp,i Representing the actual abscissa X contained in the corresponding actual point location coordinates i Compressed target abscissa, Y comp,i Representing the actual ordinate Y contained in the corresponding actual point location coordinates i The ordinate of the object after compression,to round down operators.
Further, after the obtained standard abscissa and standard ordinate, the RRU obtains a corresponding standard point location coordinate based on the standard abscissa and standard ordinate, and takes the standard point location coordinate as a target point location coordinate corresponding to the actual point location coordinate.
For example, if the RRU obtains the actual constellation point act. Cstpoint2 of the data frame, the corresponding actual abscissa X 2 Standard abscissa S adjacent to 12.5d x2 11d and the corresponding actual ordinate Y 2 Standard ordinate S of = -5.2d adjacency y2 = -7d, corresponding standard point coordinates can be obtained in the standard constellation (S x2 ，S y2 ) = (11 d, -7 d), and coordinates of standard point location (S x2 ，S y2 ) As a coordinate with the actual point location (X 2 ，Y 2 ) Corresponding target point coordinates (X comp,2 ，Y comp,2 )。
Alternatively, referring to fig. 8, the above coordinate mapping method may also be a coordinate mapping method with a rounded coordinate, for example, still taking the actual constellation point act. Cstpoint2 of the data frame as an example, the corresponding actual point location coordinate (X 2 ，Y 2 ) = (12.5 d, -5.2 d), then based on the above-mentioned coordinate mapping method, the actual abscissa X contained in the coordinate of the actual point location in the direction of the abscissa rounded up can be determined 2 Standard abscissa S adjacent to 12.5d x2 =13d, and determining the actual ordinate Y comprised by the actual point coordinates in the rounded-up ordinate direction 2 Standard ordinate S of = -5.2d adjacency y2 ＝-5d。
Wherein, the RRU respectively corresponds to the actual point location coordinates (X i ，Y i ) Respectively converted into corresponding standard point coordinates (S xi ，S yi ) The formula corresponding to the coordinate mapping relation of the formula is as follows:
wherein X is comp,i Representing the actual abscissa X contained in the corresponding actual point location coordinates i Compressed target abscissa, Y comp,i Representing the actual ordinate Y contained in the corresponding actual point location coordinates i After compressionIs defined by the vertical coordinates of the object, To round up the operator.
It should be noted that, according to the technical scheme disclosed in the application, the object of the invention can be achieved by the coordinate mapping method of up rounding and down rounding; the embodiments of the present application will be described by taking a coordinate mapping method rounded down as an example.
S503: and obtaining the coordinate distance between the target point position coordinates and the actual point position coordinates, and determining the compression residual error information of the data frame based on the coordinate distance.
Specifically, when step S503 is executed, after the RRU obtains the target point location coordinates satisfying the preset coordinate mapping relationship, the RRU determines the compressed residual error information of the data frame based on the coordinate distance between the target point location coordinates and the actual point location coordinates, for example, based on the distance interval to which the coordinate distance belongs, and referring to fig. 9, a flowchart of an implementation of a method for determining the compressed residual error information of the data frame according to the embodiment of the present application is shown, where the specific implementation flow of the method is as follows:
s5031: and obtaining the abscissa distance between the target point position coordinates and the actual point position coordinates and the ordinate distance.
Illustratively, while performing step S5031, still described by taking the actual constellation point act. Cstpoint2 of the data frame as an example, it is obvious that the RRU is performing the step of obtaining the corresponding actual point location coordinates (X 2 ，Y 2 ) = (12.5 d, -5.2 d) and target point location coordinates (X comp,2 ，Y comp,2 ) After = (11 d, -7 d), the actual point coordinates (X 2 ，Y 2 ) Coordinates of the target point (X) comp,2 ，Y comp,2 ) Obtain the actual point coordinates (X 2 ，Y 2 ) Coordinate with the target point (X) comp,2 ，Y comp,2 ) Distance D of abscissa between H2 ＝|X 2 -X comp,2 |=1.5d, and the actual point coordinates (X 2 ，Y 2 ) Coordinate with the target point (X) comp,2 ，Y comp,2 ) Distance between the ordinateSeparation D V2 ＝|Y 2 -Y comp,2 |＝1.8d。
S5032: the first sub-compressed residual error information of the data frame is determined based on the lateral distance interval to which the abscissa distance belongs, and the second sub-compressed residual error information of the data frame is determined based on the longitudinal distance interval to which the ordinate distance belongs.
Specifically, in executing step S5032, after the RRU obtains the abscissa distance between the target point coordinates and the actual point coordinates, and the ordinate distance, the RRU determines the first sub-compressed residual error information of the data frame based on the lateral distance interval to which the abscissa distance belongs and the correspondence between the lateral distance interval and the compressed residual error information; and determining second sub-compression residual error information of the data frame based on the longitudinal distance section to which the ordinate distance belongs and the corresponding relation between the longitudinal distance section and the compression residual error information.
In particular, as shown in fig. 10, the abscissa of both the actual constellation point a and the actual constellation point B will be compressed to the standard abscissa of the standard constellation point (2 n-1), but in practice, the actual constellation point B is closer to the standard abscissa of (2n+1), and therefore, the abscissa is located from the lateral distance section to which it belongs, the sub-compression residual error information corresponding to the corresponding lateral distance section is set, namely, D Hi ＝X i -X comp,i When d (the abscissa distance is attributed to the first transverse distance interval), setting the corresponding sub-compression residual error information as 'I'; d (D) Hi ＝X i -X comp,i When d (the abscissa distance belongs to the second transverse distance interval), the corresponding sub-compression residual error information may be set to "ii".
Similarly, when the ordinate of the actual constellation point a and the ordinate of the actual constellation point B are compressed to the standard ordinate of the standard constellation point (2 n-1), the method can be adopted to set corresponding sub-compressed residual error information and the residual error information code thereof, namely D Vi ＝Y i -Y comp,i When d (the ordinate distance is attributed to the first longitudinal distance interval), the corresponding sub-compression residual error information can be set as“Ⅰ”；D Vi ＝Y i -Y comp,i When d (the ordinate distance belongs to the second longitudinal distance interval), the corresponding sub-compression residual error information can be set to be 'II'.
Further, taking the actual constellation point act. Cstpoint2 as an example, the actual point location coordinates (X 2 ，Y 2 ) Coordinate with the target point (X) comp,2 ，Y comp,2 ) Distance D of abscissa between H2 ＝|X 2 -X comp,2 When |=1.5d, belonging to the second lateral distance range, the corresponding first sub-compression residual error information is known to be "ii", and the actual point location coordinate (X 2 ，Y 2 ) Coordinate with the target point (X) comp,2 ，Y comp,2 ) Distance D between the ordinate V2 ＝|Y 2 -Y comp,2 When |=1.8d is assigned to the second longitudinal distance range, the corresponding second sub-compression residual error information is known as "ii".
S5033: and obtaining the compressed residual error information of the data frame based on the first sub-compressed residual error information and the second sub-compressed residual error information.
For example, in performing step S5033, after obtaining the first sub-compression residual error information of the actual constellation point act. Cstpoint2 as "ii" and the corresponding second sub-compression residual error information as "ii", the RRU determines that the compression residual error information of the data frame is "four-level" according to the correspondence relationship between the first sub-compression residual error information and the second sub-compression residual error information, and the compression residual error information shown in table 2.
TABLE 2
S303: and performing data compression on the data frame based on the compression residual error information and a data fidelity threshold set for the signal type of the uplink signal.
Specifically, when step S303 is executed, after determining the compression residual error information corresponding to each data frame, the RRU obtains the number of error coding bits associated with the signal type of the uplink signal based on the correspondence between the signal type and the number of error coding bits; wherein, the error coding bit number characterizes: the number of coding bits of each compressed residual error information.
In a possible implementation manner, assuming that the signal type of the uplink signal is singal.t1, the corresponding error coding bit number is determined to be 2 according to the preset corresponding relation between the signal type and the error coding bit number, wherein the calculation formula of the error coding bit number is as follows:
where N represents the number of bits or orders corresponding to M QAM, M is a natural number, for example, M is 256, i.e., the number of bits or orders corresponding to 256QAM modulation is 8, and α represents the number of error coded bits.
Further, based on the error coding bit number and the point position coding bit number of the standard constellation diagram, obtaining a data fidelity threshold corresponding to the signal type; wherein, data fidelity threshold representation: number of data bits after data frame compression.
For example, still taking an uplink signal with a signal type of singal.t1 as an example, since the signal modulation mode is 256QAM, it can be known that the bit number of the point code of the standard constellation diagram is 8, and the data fidelity threshold 10 corresponding to the signal type singal.t1 can be obtained by combining the error code bit number with 2.
It should be noted that, for the modulation scheme of the N-order QAM signal, the corresponding practical constellation point is at least compressible to n+2bit, where 2bit is the compression residual error information encoding, 1bit is the compression residual error information encoding of the first sub-compression residual error information, and the other 1bit is the compression residual error information encoding of the second sub-compression residual error information.
For example, the abscissa distance D between the actual point coordinates and the target point coordinates H Belonging to the first transverse distance interval, the corresponding first sub-compression residual error information is knownIs 'I' and the compression residual error code is '0', and the ordinate distance D between the actual point position coordinate and the target point position coordinate V The second sub-compression residual error information is "ii" and the compression residual error code is "1" when belonging to the second longitudinal distance section, and further, the 2bit compression residual error information code may be "01".
Finally, after obtaining the respective compression residual error information of each data frame and the corresponding data fidelity threshold, the RRU respectively performs data compression on each data frame according to the respective compression residual error information and the data fidelity threshold.
In a possible implementation manner, referring to fig. 10, after the RRU performs data compression on each data frame based on the obtained compression residual error information and the data fidelity threshold set corresponding to each data frame, the RRU may further obtain, based on the actual point coordinates and the target point coordinates corresponding to each data frame, distance deviations between each actual point coordinate and each corresponding target point coordinate, so as to obtain, based on each obtained distance deviation, a corresponding average deviation, and use the average deviation as a compression error for performing data compression on each data frame, thereby considering loss of signal compression performance to a greater extent, and greatly reducing computational complexity due to performing only simple multiplication and addition operations.
The RRU obtains the actual point location coordinates of the actual constellation points corresponding to each data frame, and determines the standard point location coordinates corresponding to each actual point location coordinate in the standard constellation diagram corresponding to the signal modulation mode corresponding to the uplink signal, and then obtains the distance deviation between each actual point location coordinate and each corresponding target point location coordinate based on the corresponding distance deviation calculation formula, so that according to each obtained distance deviation, in combination with the preset average error calculation formula, a corresponding average deviation can be obtained, and the average deviation is used as a compression error for performing data compression on the data frame of the uplink signal.
Specifically, a calculation formula for calculating an average error based on each actual point location coordinate is as follows:
wherein,represents average error, in standard constellation corresponding to 256QAM,> X i representing the actual abscissa, X, contained in the actual point coordinates comp,i Represents the target abscissa included in the target point coordinates, Y i Representing the actual ordinate, Y, contained in the actual point coordinates comp,i Representing the ordinate of the object contained in the coordinates of the point of the object.
In addition, the RRU transmits the standard constellation point of 256QAM by 8 bits, and simultaneously compresses residual error information with 2 bits, after completing 10 bits compression of 256QAM, the compression error, relevant channel information and the like can be uploaded to the BBU for recovering corresponding signals and demodulation of each data frame after subsequent compression.
Particularly, if the uplink signal is assumed to be transmitted with 10 bits in a specific scene, the signal is compressed to a great extent without affecting the performance, so that the data transmission bandwidth is reduced. Therefore, after determining the corresponding order N of MQAM, it is known that the corresponding error coding bit number α=10-N bit, and further, by referring to the probability of error within ±σ being 68.26% and the probability of error within ±2σ being 95.45% for the gaussian distribution system, the corresponding compressed residual error information may be subjected to hierarchical quantization processing.
According to the 10bit data compression scheme, data compression of each data frame included in the uplink signal can be regarded as being performed based on special 1024QAM with different modulation.
For example, under the data compression scheme for MQAM and 10 bits, this will be doneThe compressed residual error information of (a) may be classified into, for example, 64 QAM:
when D is Hi ＝X i -X comp,i And when d is less than or equal to d, compressing residual error information to be 'I', and further:
if it isWhen the corresponding compression residual error information code is expressed as: />
If it isWhen the corresponding compression residual error information code is expressed as: />
When D is Hi ＝X i -X comp,i >d, compressing residual error information to be 'II', and further:
if it isWhen the corresponding compression residual error information code is expressed as:
if it isWhen the corresponding compression residual error information code is expressed as:
it should be noted thatFrom the above idea, it is clear that σ sym Can be divided into linear or nonlinearThe finer the grading of the compression error is, the smaller the error is when the subsequent decompression is performed.
In addition, when 64QAM is used, d=d 64QAM Similarly, for MQAM, d=d MQAM 。
Referring to fig. 11, a schematic diagram of a specific application scenario of an uplink data compression method provided by the embodiments of the present application is shown, where RRU receives an uplink signal UpSingal sent by a target terminal, and determines a corresponding signal modulation mode SigMolaMode based on a data coding type CodingType of each data frame (for example, dataFra1, dataFra2, dataFra3, dataFra4 and DataFra 5) included in the uplink signal UpSingal; next, based on the respective actual constellation points of each data frame, that is, actPoint1, actPoint2, actPoint3, actPoint4, and ActPoint5, the respective compression residual error information of each data frame, that is, comerror 1, comerror 2, comerror 3, comerror 4, and comerror 5, is determined on the actual point coordinates on the standard constellation map ActConDia corresponding to the signal modulation mode sigmolawd, that is, actCoord1, actCoord2, actCoord3, actCoord4, and ActCoord 5; finally, based on the obtained compression residual error information and a data fidelity threshold value DataFiThr set for the signal type SingalType of the uplink signal, respectively carrying out data compression on each data frame.
In summary, in the uplink data compression method provided by the embodiment of the present application, an uplink signal sent by a target terminal is received, and a signal modulation mode of the uplink signal is determined from a data coding type of a data frame included in the uplink signal; then, based on the actual constellation points of the data frame, determining compression residual error information of the data frame on the actual point position coordinates of the standard constellation diagram corresponding to the signal modulation mode; finally, the data frame is data-compressed based on the compressed residual error information and a data fidelity threshold set for the signal type of the upstream signal.
By adopting the mode, the data frame is compressed according to the compression residual error information of the data frame and the data fidelity threshold value set for the signal type of the uplink signal, so that the technical defects that if the compression of the uplink data is inaccurate, namely, the first compression factor and/or the second compression factor has problems, the subsequent decompression operation cannot be accurately completed, and therefore, the accurate uplink data cannot be obtained are overcome, the accuracy of data compression of the uplink data is improved, the transmission rate of the uplink data is effectively reduced, and the timeliness of data transmission is also improved to a certain extent in the prior art.
Further, after receiving the uplink signal after data compression, the BBU can encode according to each compression residual error information and its corresponding compression residual error, and the mean square error σ corresponding to the compression error, as shown in fig. 12 sym Or average errorAnd decompressing each compressed data frame to obtain a corresponding data frame.
Illustratively, the BBU encodes according to the respective compression residual error information, and the mean square error sigma corresponding to the compression error sym And the respective actual constellation points of each data frame, the respective corresponding target point position coordinates are combined with a preset decoding expression to further obtain each data frame, 256QAM is taken as an example, wherein the preset decoding expression is specifically as follows:
wherein X is dcomp,i Representing the decoding abscissa corresponding to the target abscissa, Y dcomp,i Representing the decoded ordinate corresponding to the target ordinate"0" means the compression residual error information code corresponding to the compression residual error information "i", and "1" means the compression residual error information code corresponding to the compression residual error information "ii".
Alternatively, taking 64QAM as an example, the preset decoding expression is specifically as follows:
Wherein X is dcomp,i Representing the abscissa X of the object comp,i Corresponding decoding abscissas, and '00', '10', '11' respectively represent the compression residual error information codes corresponding to the respective compression residual error information after the respective hierarchical processing on the abscissas.
Wherein Y is dcomp,i Representing the abscissa Y of the object comp,i Corresponding decoding abscissas, and '00', '10', '11' respectively indicate compression residual error information codes corresponding to the respective compression residual error information after the hierarchical processing on the ordinate.
Therefore, based on the decompression method steps, the accuracy of decompression operation on each data frame after compression is improved.
Further, based on the same technical concept, the embodiment of the application also provides an uplink data compression device, and the uplink data compression device can realize the flow of the method in the embodiment of the application. As shown in fig. 13, the uplink data compression apparatus includes: a receiving module 1301, a processing module 1302, and a compressing module 1303, wherein:
a receiving module 1301, configured to receive an uplink signal sent by a target terminal, and determine a signal modulation mode of the uplink signal based on a data coding type of each data frame included in the uplink signal;
The processing module 1302 is configured to determine compressed residual error information of the data frame based on actual constellation points of the data frame and actual point location coordinates on a standard constellation diagram corresponding to the signal modulation mode; wherein, actual constellation point characterization: the amplitude-phase characteristics of the data frames, the standard constellation includes: at least one standard constellation point and standard point location coordinates thereof;
the compression module 1303 is configured to perform data compression on the data frame based on the compression residual error information and a data fidelity threshold set for a signal type of the uplink signal; wherein, data fidelity threshold representation: number of data bits after data frame compression.
In a possible embodiment, when determining the compressed residual error information of the data frame based on the actual constellation point of the data frame and the actual positioning coordinates on the standard constellation corresponding to the signal modulation mode, the processing module 1302 is specifically configured to:
based on the amplitude-frequency characteristic of the data frame, determining actual constellation points and corresponding actual point location coordinates of the data frame in a standard constellation diagram;
screening out target point position coordinates from standard point position coordinates of at least one standard constellation point contained in a standard constellation diagram; the target point position coordinates and the actual point position coordinates meet a preset coordinate mapping relation;
And obtaining the coordinate distance between the target point position coordinates and the actual point position coordinates, and determining the compression residual error information of the data frame based on the coordinate distance.
In one possible embodiment, when screening out the target point coordinates from the standard point coordinates of each of the at least one standard constellation point included in the standard constellation, the processing module 1302 is specifically configured to:
in the standard constellation diagram, a standard abscissa adjacent to an actual abscissa included in an actual point position coordinate in a set abscissa direction is obtained, and a standard ordinate adjacent to an actual ordinate included in the actual point position coordinate in a set ordinate direction is obtained;
and obtaining corresponding standard point coordinates based on the standard abscissa and the standard ordinate, and taking the standard point coordinates as target point coordinates.
In one possible embodiment, when obtaining the coordinate distance between the target point location coordinate and the actual point location coordinate and determining the compressed residual error information of the data frame based on the coordinate distance, the processing module 1302 is specifically configured to:
acquiring an abscissa distance between the coordinates of the target point and the actual point and an ordinate distance;
determining first sub-compression residual error information of the data frame based on a transverse distance section to which the abscissa distance belongs, and determining second sub-compression residual error information of the data frame based on a longitudinal distance section to which the ordinate distance belongs;
And obtaining the compressed residual error information of the data frame based on the first sub-compressed residual error information and the second sub-compressed residual error information.
In one possible embodiment, when performing data compression on a data frame based on the obtained compression residual error information and a data fidelity threshold set for a signal type of the uplink signal, the compression module 1303 is specifically configured to:
obtaining an error coding bit number associated with a signal type of an uplink signal; wherein, the error coding bit number characterizes: compressing the coding bit number of the residual error information;
obtaining a data fidelity threshold corresponding to the signal type based on the error coding bit number and the point position coding bit number of the standard constellation diagram;
and carrying out data compression on the data frame according to the compression residual error information and the data fidelity threshold.
In one possible embodiment, after data compression is performed on the data frame, the compression module 1303 is further configured to:
obtaining each distance deviation; each distance deviation is the distance deviation between the actual point position coordinates and the target point position coordinates of each data frame after compression in the uplink signal;
based on the distance deviations, an average deviation is obtained, and the average deviation is used as a compression error for data compression of the data frames of the uplink signals.
Based on the same technical concept, the embodiment of the application also provides electronic equipment, which can realize the uplink data compression method flow provided by the embodiment of the application. In one embodiment, the electronic device may be a server, a terminal device, or other electronic device. As shown in fig. 14, the electronic device may include:
at least one processor 1401, and a memory 1402 connected to the at least one processor 1401, the specific connection medium between the processor 1401 and the memory 1402 is not limited in the embodiment of the present application, and in fig. 14, the processor 1401 and the memory 1402 are connected by a bus 1400 as an example. The bus 1400 is shown in bold lines in fig. 14, and the manner in which other components are connected is merely illustrative and not limiting. The bus 1400 may be divided into an address bus, a data bus, a control bus, etc., and is shown with only one thick line in fig. 14 for ease of illustration, but does not represent only one bus or one type of bus. Alternatively, the processor 1401 may be referred to as a controller, and is not limited in name.
In the embodiment of the present application, the memory 1402 stores instructions executable by the at least one processor 1401, and the at least one processor 1401 can perform an upstream data compression method as described above by executing the instructions stored in the memory 1402. The processor 1401 may implement the functions of the respective modules in the apparatus shown in fig. 13.
Wherein the processor 1401 is the control center of the device, and may utilize various interfaces and lines to connect the various parts of the overall control apparatus, and by executing or executing instructions stored in the memory 1402 and invoking data stored in the memory 1402, the various functions of the device and processing the data, thereby overall monitoring the device.
In one possible design, processor 1401 may include one or more processing units, and processor 1401 may integrate an application processor and a modem processor, wherein the application processor primarily processes operating systems, user interfaces, application programs, and the like, and the modem processor primarily processes wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 1401. In some embodiments, processor 1401 and memory 1402 may be implemented on the same chip, and in some embodiments they may be implemented separately on separate chips.
The processor 1401 may be a general purpose processor such as a CPU, digital signal processor, application specific integrated circuit, field programmable gate array or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, and may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the present application. The general purpose processor may be a microprocessor or any conventional processor or the like. The steps of an uplink data compression method disclosed in connection with the embodiments of the present application may be directly embodied and executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.
Memory 1402 acts as a non-volatile computer readable storage medium that can be used to store non-volatile software programs, non-volatile computer executable programs, and modules. Memory 1402 may include at least one type of storage medium, which may include, for example, flash Memory, hard disk, multimedia card, card Memory, random access Memory (Random Access Memory, RAM), static random access Memory (Static Random Access Memory, SRAM), programmable Read-Only Memory (Programmable Read Only Memory, PROM), read-Only Memory (ROM), charged erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), magnetic Memory, magnetic disk, optical disk, and the like. Memory 1402 is any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited thereto. Memory 1402 in the present embodiments may also be circuitry or any other device capable of implementing a memory function for storing program instructions and/or data.
By programming the processor 1401, the code corresponding to one of the upstream data compression methods described in the foregoing embodiments may be cured into the chip, so that the chip can execute the steps of one of the upstream data compression methods of the embodiment shown in fig. 3 at run-time. How to design and program the processor 1401 is a technology well known to those skilled in the art, and will not be described in detail herein.
Based on the same inventive concept, the embodiments of the present application also provide a storage medium storing computer instructions that, when executed on a computer, cause the computer to perform an uplink data compression method as discussed above.
In some possible embodiments, the present application provides that aspects of an upstream data compression method may also be implemented in the form of a program product comprising program code for causing the control apparatus to carry out the steps of an upstream data compression method according to the various exemplary embodiments of the present application as described herein above when the program product is run on a device.
It should be noted that although several units or sub-units of the apparatus are mentioned in the above detailed description, such a division is merely exemplary and not mandatory. Indeed, the features and functions of two or more of the elements described above may be embodied in one element in accordance with embodiments of the present application. Conversely, the features and functions of one unit described above may be further divided into a plurality of units to be embodied.
Furthermore, although the operations of the methods of the present application are depicted in the drawings in a particular order, this is not required to or suggested that these operations must be performed in this particular order or that all of the illustrated operations must be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a server, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's equipment, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server.
In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected over the Internet using an Internet service provider).
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.

Claims (10)

1. An uplink data compression method, comprising:
receiving an uplink signal sent by a target terminal, and determining a signal modulation mode of the uplink signal based on a data coding type of a data frame contained in the uplink signal;
determining compression residual error information of the data frame based on actual constellation points of the data frame and actual point position coordinates on a standard constellation diagram corresponding to the signal modulation mode; wherein the actual constellation point characterizes: the amplitude-phase characteristic of the data frame, the standard constellation includes: at least one standard constellation point and standard point location coordinates thereof;
Performing data compression on the data frame based on the compressed residual error information and a data fidelity threshold set for the signal type of the uplink signal; wherein the data fidelity threshold characterizes: number of data bits after data frame compression.
2. The method of claim 1, wherein determining compressed residual error information for the data frame based on actual constellation points of the data frame and actual positioning coordinates on a standard constellation corresponding to the signal modulation scheme comprises:
based on the amplitude-frequency characteristic of the data frame, determining an actual constellation point and a corresponding actual point position coordinate of the data frame in the standard constellation diagram;
screening out target point position coordinates from standard point position coordinates of at least one standard constellation point contained in the standard constellation diagram; wherein the target point position coordinates and the actual point position coordinates meet a preset coordinate mapping relation;
and obtaining the coordinate distance between the target point position coordinates and the actual point position coordinates, and determining the compression residual error information of the data frame based on the coordinate distance.
3. The method according to claim 2, wherein said screening out target point location coordinates from standard point location coordinates of each of at least one standard constellation point included in the standard constellation includes:
In the standard constellation diagram, a standard abscissa adjacent to an actual abscissa included in the actual point location coordinate in a set abscissa direction is obtained, and a standard ordinate adjacent to an actual ordinate included in the actual point location coordinate in a set ordinate direction is obtained;
and obtaining corresponding standard point coordinates based on the standard abscissa and the standard ordinate, and taking the standard point coordinates as the target point coordinates.
4. The method of claim 2, wherein the obtaining the coordinate distance between the target point location coordinates and the actual point location coordinates and determining the compressed residual error information for the data frame based on the coordinate distance comprises:
acquiring an abscissa distance and an ordinate distance between the target point position coordinates and the actual point position coordinates;
determining first sub-compression residual error information of the data frame based on a transverse distance interval to which the abscissa distance belongs, and determining second sub-compression residual error information of the data frame based on a longitudinal distance interval to which the ordinate distance belongs;
and obtaining the compressed residual error information of the data frame based on the first sub-compressed residual error information and the second sub-compressed residual error information.
5. The method according to any of claims 1-4, wherein the data compression of the data frame based on the obtained compressed residual error information and a data fidelity threshold set for the signal type of the upstream signal comprises:
obtaining an error coding bit number associated with a signal type of the uplink signal; wherein the error coded bit number characterizes: the number of encoding bits of the compressed residual error information;
obtaining a data fidelity threshold corresponding to the signal type based on the error coding bit number and the point position coding bit number of the standard constellation diagram;
and carrying out data compression on the data frame according to the compressed residual error information and the data fidelity threshold.
6. The method of claim 5, wherein after data compressing the data frame, further comprising:
obtaining each distance deviation; the distance deviation is the distance deviation between the actual point position coordinates and the target point position coordinates of each data frame after compression in the uplink signal;
and obtaining average deviation based on the distance deviations, and taking the average deviation as a compression error for carrying out data compression on the data frames of the uplink signals.
7. An uplink data compression device, comprising:
the receiving module is used for receiving an uplink signal sent by a target terminal and determining a signal modulation mode of the uplink signal based on a data coding type of a data frame contained in the uplink signal;
the processing module is used for determining compression residual error information of the data frame based on the actual constellation points of the data frame and the actual point position coordinates on the standard constellation diagram corresponding to the signal modulation mode; wherein the actual constellation point characterizes: the amplitude-phase characteristic of the data frame, the standard constellation includes: at least one standard constellation point and standard point location coordinates thereof;
the compression module is used for carrying out data compression on the data frame based on the compression residual error information and a data fidelity threshold value set for the signal type of the uplink signal; wherein the data fidelity threshold characterizes: number of data bits after data frame compression.
8. The apparatus of claim 7, wherein when determining the compressed residual error information of the data frame based on the actual constellation point of the data frame and the actual positioning coordinates on the standard constellation corresponding to the signal modulation scheme, the processing module is specifically configured to:
Based on the amplitude-frequency characteristic of the data frame, determining an actual constellation point and a corresponding actual point position coordinate of the data frame in the standard constellation diagram;
screening out target point position coordinates from standard point position coordinates of at least one standard constellation point contained in the standard constellation diagram, wherein the target point position coordinates and the actual point position coordinates meet target point position coordinates of a preset coordinate mapping relation;
and obtaining the coordinate distance between the target point position coordinates and the actual point position coordinates, and determining the compression residual error information of the data frame based on the coordinate distance.
9. A communication system, comprising: the radio remote unit RRU and the baseband processing unit BBU;
the RRU is configured to receive an uplink signal from a target terminal, determine a signal modulation mode of the uplink signal based on a data coding type of a data frame included in the uplink signal, determine compression residual error information of the data frame based on an actual constellation point of the data frame and an actual point location coordinate on a standard constellation corresponding to the signal modulation mode, perform data compression on the data frame based on the compression residual error information and a data fidelity threshold set for the signal type of the uplink signal, and send the compressed data frame, the compression residual error information and the data fidelity threshold to the BBU; the actual constellation points represent the amplitude-phase characteristics of the data frames, the standard constellation diagram comprises at least one standard constellation point and standard point position coordinates thereof, and the data fidelity threshold represents the number of data bits after the data frames are compressed;
The BBU is used for receiving the compressed data frame, compressing the residual error information and the data fidelity threshold, and decompressing the compressed data frame based on the compressed residual error information and the data fidelity threshold.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any of claims 1-6.
CN202210834861.4A 2022-07-15 2022-07-15 Uplink data compression method and related device Pending CN117440055A (en)

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