WO2023045258A1 - 载波数据处理方法、装置、网络设备及存储介质 - Google Patents

载波数据处理方法、装置、网络设备及存储介质 Download PDF

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Publication number
WO2023045258A1
WO2023045258A1 PCT/CN2022/078512 CN2022078512W WO2023045258A1 WO 2023045258 A1 WO2023045258 A1 WO 2023045258A1 CN 2022078512 W CN2022078512 W CN 2022078512W WO 2023045258 A1 WO2023045258 A1 WO 2023045258A1
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data
carrier
domain
time
processing
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PCT/CN2022/078512
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English (en)
French (fr)
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常亮
邹飞
薛帅
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深圳市中兴微电子技术有限公司
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Priority to KR1020247007799A priority Critical patent/KR20240046223A/ko
Publication of WO2023045258A1 publication Critical patent/WO2023045258A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path

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  • the embodiments of the present application relate to but are not limited to the field of communication technologies, and in particular, relate to a carrier data processing method, device, network device, and storage medium.
  • carrier data aggregation technology gathers multiple carrier data in the system together to form a larger transmission bandwidth to meet high-speed data transmission; however, currently There is no relevant means to effectively manage the carrier data aggregation, so the efficiency of the carrier data aggregation is low.
  • Embodiments of the present application provide a carrier data processing method, device, network equipment, and storage medium.
  • the embodiment of the present application provides a method for processing carrier data, including: acquiring multiple sets of carrier data and carrier aggregation configuration parameters corresponding to the multiple sets of carrier data; The first processing is performed on the carrier data to obtain frequency-domain carrier aggregation data; the second processing is performed on the frequency-domain carrier aggregation data to obtain time-domain carrier aggregation data; the third processing is performed on the time-domain carrier aggregation data to obtain multiple Group time-domain carrier data.
  • the embodiment of the present application further provides a carrier data processing device, including: a first processing module configured to acquire multiple sets of carrier data and carrier aggregation configuration parameters corresponding to multiple sets of carrier data; A processing module configured to perform first processing on multiple sets of carrier data according to the carrier aggregation configuration parameters to obtain frequency-domain carrier aggregation data; a third processing module is configured to perform a second processing on the frequency-domain carrier aggregation data The second processing is to obtain time-domain carrier aggregation data; the fourth processing module is configured to perform a third processing on the time-domain carrier aggregation data to obtain multiple sets of time-domain carrier data.
  • a carrier data processing device including: a first processing module configured to acquire multiple sets of carrier data and carrier aggregation configuration parameters corresponding to multiple sets of carrier data; A processing module configured to perform first processing on multiple sets of carrier data according to the carrier aggregation configuration parameters to obtain frequency-domain carrier aggregation data; a third processing module is configured to perform a second processing on the frequency-domain carrier aggregat
  • the embodiment of the present application also provides a network device, including: at least one processor; one less memory for storing at least one program; when at least one of the programs is executed by at least one of the processors, the Carrier data processing method as described above.
  • the embodiment of the present application further provides a computer-readable storage medium, storing computer-executable instructions, where the computer-executable instructions are used to execute the carrier data processing method as described above.
  • FIG. 1 is a flowchart of a carrier data processing method provided by an embodiment of the present application
  • FIG. 2 is a specific flowchart for obtaining frequency-domain carrier aggregation data provided by another embodiment of the present application
  • FIG. 3 is a specific flowchart for obtaining time-domain carrier aggregation data provided by another embodiment of the present application.
  • FIG. 4 is a specific flowchart for obtaining multiple sets of time-domain carrier data provided by another embodiment of the present application.
  • FIG. 5 is a flowchart of a carrier data processing method provided by another embodiment of the present application.
  • FIG. 6 is a specific flow chart of normalizing multiple sets of carrier data provided by another embodiment of the present application.
  • FIG. 7 is a flowchart of a carrier data processing method provided by another embodiment of the present application.
  • FIG. 8 is a schematic diagram of a data format of multiple sets of carrier data provided by an embodiment of the present application.
  • FIG. 9 is a schematic diagram of a data format of frequency domain carrier aggregation data provided by an embodiment of the present application.
  • FIG. 10 is a schematic diagram of a data format of time-domain carrier aggregation data provided by an embodiment of the present application.
  • FIG. 11 is a schematic diagram of the data format of multiple sets of time-domain carrier data provided by an embodiment of the present application.
  • Fig. 12 is a schematic structural diagram of a carrier data processing device provided by another embodiment of the present application.
  • Fig. 13 is a schematic structural diagram of a network device provided by another embodiment of the present application.
  • the present application provides a carrier data processing method, device, network equipment, and storage medium, which acquire multiple sets of carrier data and carrier aggregation configuration parameters corresponding to the carrier data; perform first processing on multiple sets of carrier data according to the carrier aggregation configuration parameters, Obtaining frequency-domain carrier aggregation data; performing a second process on the frequency-domain carrier aggregation data to obtain time-domain carrier aggregation data; performing a third process on the time-domain carrier aggregation data to obtain multiple sets of time-domain carrier data.
  • multiple sets of carrier data and carrier aggregation configuration parameters corresponding to the carrier data are obtained; then, according to the carrier aggregation configuration parameters, multiple sets of carrier data are first processed to obtain frequency domain carrier aggregation data; The second processing is to obtain the time-domain carrier aggregation data; finally, the third processing is performed on the obtained time-domain carrier aggregation data, and multiple sets of time-domain carrier data can be obtained; the corresponding carrier data is aggregated through the carrier aggregation configuration parameters, which can Effectively manage carrier data aggregation and improve the efficiency of carrier data aggregation.
  • FIG. 1 is a flowchart of a carrier data processing method provided by an embodiment of the present application.
  • the carrier data processing method includes but is not limited to step S100, step S200, step S300 and step S400:
  • Step S100 acquiring multiple sets of carrier data and multiple sets of carrier aggregation configuration parameters corresponding to the carrier data
  • Step S200 performing first processing on multiple sets of carrier data according to carrier aggregation configuration parameters to obtain frequency domain carrier aggregation data
  • Step S300 performing a second process on the carrier aggregation data in the frequency domain to obtain carrier aggregation data in the time domain;
  • Step S400 performing a third process on the time-domain carrier aggregation data to obtain multiple sets of time-domain carrier data.
  • multiple sets of carrier data and carrier aggregation configuration parameters corresponding to the carrier data are obtained; then, according to the carrier aggregation configuration parameters, the first processing is performed on the multiple sets of carrier data to obtain frequency domain carrier aggregation data;
  • the carrier aggregation data in the domain is subjected to the second processing to obtain the carrier aggregation data in the time domain;
  • the carrier aggregation data in the time domain is subjected to the third processing to obtain multiple sets of carrier aggregation data in the time domain;
  • the aggregation of data can effectively manage the aggregation of carrier data and improve the efficiency of aggregation of carrier data.
  • the signal to be transmitted is used to modulate another high-frequency signal, so that the modulated high-frequency oscillation carries the information contained in the modulated signal, and then sent out.
  • This modulated high-frequency signal is called a carrier.
  • the carrier data in the embodiment of the present application is not just a simple carrier, but a carrier including a modulated signal, that is, the carrier data includes the information contained in the modulated signal, and the modulated signal is derived from the original baseband signal.
  • Modulated; the baseband signal is the signal that needs to be transmitted at the beginning, but the baseband signal is often in the lower frequency domain, which is not convenient for transmission, so it needs to be modulated by the carrier, so that the baseband signal is modulated to the high frequency frequency domain , which facilitates signal transmission.
  • multiple sets of carrier data are multiple sets of carrier data from different sources; for example, for a base station, the base station can have multiple receiving antennas, and each antenna can receive carrier waves sent by different mobile terminals. Data, that is, multiple sets of carrier data can be received by using one antenna of the base station. After receiving multiple sets of carrier data, the base station can also store the received multiple sets of carrier data in a preset storage interval. After multiple sets of carrier data are stored in the preset storage interval, the carrier data has a corresponding address index mark, through which other data processing modules can extract the corresponding carrier data through the address index mark. Exemplarily, as shown in FIG.
  • the multiple sets of carrier data are carrier data received and acquired by the base station, wherein a set of carrier data includes Fsymbol0 Ant 0 to Fsymbol0 Ant n; Fsymbol represents a symbol and is used to distinguish different carriers Data, Ant means antenna, cell means cell.
  • the carrier aggregation configuration parameters can be set manually or through the software terminal; for example, the number of groups of received carrier data is 3, and two groups of carriers are required to be aggregated, so The carrier aggregation configuration parameter can be artificially configured as 2, so two groups of carriers can be aggregated, making carrier aggregation management easier and faster.
  • the subsequent carrier combination processing can be performed by monitoring the bandwidth of the carrier. For example, 4 sets of carrier data with a bandwidth of 5M are received, but the actual bandwidth resource that can be transmitted is only 15M, so the software terminal can combine the carrier data according to the bandwidth.
  • the aggregation configuration parameter is configured as 3, and then aggregation processing is performed on 3 sets of carrier data.
  • the first processing is performed on multiple sets of carrier data according to the carrier aggregation configuration parameters to obtain frequency domain carrier aggregation data; the first processing is to perform aggregation processing on multiple sets of carrier data, and the aggregation processing is to combine multiple carrier data Aggregate into a wider spectrum, and at the same time, some discontinuous spectrum fragments can also be aggregated together; multi-carrier aggregation can also be divided into continuous carrier aggregation and non-continuous carrier aggregation.
  • the second processing is performed on the frequency-domain carrier aggregation data to obtain the time-domain carrier aggregation data.
  • the second processing may be time-frequency conversion, that is, the frequency-domain carrier aggregation data is subjected to time-frequency conversion processing, and then the time-domain carrier aggregation data is obtained.
  • the third processing is performed on the time-domain carrier aggregation data to obtain multiple sets of time-domain carrier data.
  • the third processing can be split processing, that is, the time-domain carrier aggregation data is segmented to obtain multiple sets of time-domain carrier data; it should be noted that,
  • the time-domain carrier data is data that can be directly collected and processed by other data processing modules. It can be understood that the multiple sets of carrier data obtained in the embodiment of the present application are frequency-domain data. Multiple sets of time-frequency carrier data can be obtained.
  • the carrier data attribute information is used to represent the effective length of the carrier data and the number of samples to be processed.
  • the samples to be processed are the real and effective information in the carrier data, and the number of samples to be processed is the The amount of real and valid information.
  • the carrier aggregation configuration parameters include carrier aggregation function switch parameters, and the carrier aggregation function switch parameters are used to characterize the aggregation characteristics of multiple sets of carrier data.
  • the above step S200 may include but not limited to the step S210, step S220 and step S230.
  • Step S210 determining the carrier parameters to be combined according to the aggregation characteristics of multiple groups of carrier data, the carrier parameters to be combined are used to represent the number of groups of carrier data to be aggregated;
  • Step S220 determining carrier data to be aggregated from multiple sets of carrier data according to carrier parameters to be combined
  • Step S230 combining the carrier data to be aggregated to obtain frequency domain carrier aggregation data.
  • the parameters of the carriers to be combined are determined according to the aggregation characteristics of multiple sets of carrier data, wherein the parameters of the carriers to be combined are used to characterize the number of groups of carrier data to be aggregated; Carrier data to be aggregated is determined in the data, and finally the carrier data to be aggregated is combined to obtain carrier aggregation data in the frequency domain.
  • the carrier aggregation function switch parameter is used to represent the aggregation characteristics of the carrier data, that is, the carrier aggregation function switch parameter indicates whether the aggregation function switch of the corresponding carrier data is turned on, only when the aggregation function switch of the carrier data is turned on. Only the carrier data can be aggregated; for example, 3 sets of carrier data are obtained, and only 2 sets of carrier data aggregation function switches are turned on, and the parameter of the carrier to be merged is 2.
  • the carrier parameters to be merged perform aggregation processing on the corresponding two sets of carrier data.
  • the carrier aggregation configuration parameters can be set manually or through the software system; for example, after obtaining 3 sets of carrier data, and artificially setting the aggregation function switches of 2 sets to be on, then The parameter of the carrier to be merged is 2, so that two groups of carrier data whose aggregation function switch is turned on can be aggregated and processed.
  • the bandwidth of the carrier data can also be set in the software system as the basis for carrier data aggregation.
  • the bandwidths of the four sets of carrier data are 2M, 3M, 4M and 9M respectively, and the software The system sets the data bandwidth of this transmission to only 8M, then the software system will set the aggregation function switch of the first 3 groups of carrier data to the on state, and then will set the aggregation function switch to the first three groups of the carrier data on the state.
  • Group carrier data is aggregated.
  • the parameter of the carrier to be combined is obtained according to the switch parameter of the carrier aggregation function; the number of the aggregation function switch of the carrier data set in the switch parameter of the carrier aggregation function is in the open state is the parameter of the carrier to be combined; for example, If the number of carrier data aggregation function switches set in the carrier aggregation function switch parameter is 2, then the carrier aggregation parameter to be combined is 2.
  • the carrier aggregation data in the frequency domain can also be complemented, for example, zero-supplementing processing, so that the carrier aggregation data in the frequency domain has sufficient sample points for subsequent processing.
  • the sample point is the real and effective information in the carrier aggregation data, that is, the information contained in the original baseband signal.
  • step S300 may include but not limited to step S310 , step S320 and step S320 .
  • Step S310 determining effective frequency-domain carrier data from the frequency-domain carrier aggregation data, where the effective frequency-domain carrier data is frequency-domain carrier aggregation data carrying valid samples;
  • Step S320 performing signal conversion processing on the effective frequency domain carrier data to obtain time domain carrier aggregation data.
  • the effective frequency domain carrier data is determined from the frequency domain carrier aggregation data, and the effective frequency domain carrier data is the frequency domain carrier aggregation data carrying valid samples; Time-domain carrier aggregation data can be obtained.
  • the effective frequency-domain carrier data is the frequency-domain carrier aggregation data that carries effective samples; among them, the effective samples are the data that actually contain effective information in the frequency-domain carrier aggregation data, and the effective information is the data that needs to be processed.
  • Analyzed baseband data information it can be understood that, in the process of performing signal transformation processing on the frequency domain carrier aggregation data, only the effective frequency domain carrier data in the frequency domain carrier aggregation data need to be processed; exemplary, to be combined If the carrier parameter is 3, it means that only three sets of carrier data have been aggregated and processed, and then the effective frequency domain carrier data in the frequency domain carrier aggregation data can be determined according to the carrier parameters to be combined, so that the effective frequency domain carrier data can be Perform signal conversion processing.
  • the signal transformation processing can be time-frequency transformation processing, that is, the frequency-domain carrier aggregation data is processed by time-frequency transformation, and the frequency-domain data is converted into time-frequency data to obtain time-domain carrier aggregation data;
  • the time-frequency transformation processing can also be It is Fourier transform or fast Fourier transform, which converts the frequency domain carrier aggregation data in the frequency domain into the time domain carrier aggregation data in the time domain; it should be noted that when performing Fourier transform or fast Fourier transform Transformation needs to set the size of the basic processing unit. For example, if the size of the basic processing unit is set to 256, then the number of samples processed each time is 256. 0 processing, so that the Fourier transform or fast Fourier transform can be completed; it can be understood that the 0 complement processing will not change the authenticity of the data.
  • the time-domain carrier aggregation data carries carrier grouping information, as shown in FIG. 4
  • the above step S400 may include but not limited to step S410 and step S420.
  • Step S410 determining the number of carrier groups in the time domain according to the carrier group information
  • Step S420 dividing the time-domain carrier aggregation data into multiple groups of time-domain carrier data according to the number of time-domain carrier groups.
  • the number of time-domain carrier groups is determined according to the carrier group information, and the time-domain carrier aggregation data is divided into multiple groups of time-domain carrier data according to the number of time-domain carrier groups.
  • the time-domain carrier aggregation data carries carrier grouping information
  • the time-domain carrier aggregation data can be divided according to the carrier grouping information, and then multiple sets of time-domain carrier data can be obtained; it is worth noting that the carrier grouping
  • the information can be an information mark
  • the time-domain carrier aggregation data carries an information mark. Through the information mark, the time-domain carrier aggregation data can be divided and processed to obtain multiple sets of time-domain carrier data.
  • the domain carrier data information is restored to obtain multiple sets of time domain carrier data corresponding to the original multiple sets of frequency domain carrier data information, so that subsequent other data processing modules can obtain and utilize the divided multiple sets of time domain carrier data.
  • the time-domain carrier aggregation data is divided into multiple sets of time-domain carrier data; segmentation is to divide the time-domain carrier aggregation data to obtain the corresponding to the original multiple sets of frequency-domain carrier data.
  • Multiple sets of time-domain carrier data Exemplarily, for the carrier data obtained by the base station, the data format of multiple sets of time-domain carrier data obtained after aggregation, time-frequency transformation, and segmentation processing may be as shown in FIG. 11 , wherein a set of time-domain carrier data includes symbol0 Ant 0 to symbol0 Ant n; symbol represents a symbol, which is used to distinguish different time-domain carrier data, Ant represents an antenna, and cell represents a cell.
  • step S200 may include but not limited to step S110 .
  • Step S110 performing normalization processing on multiple sets of carrier data.
  • the first processing on multiple sets of carrier data may also include performing normalization processing on multiple sets of carrier data; the data format of multiple sets of carrier data will be unified to facilitate subsequent Perform calculation processing;
  • the amplitude of the carrier data can be uniformly processed, for example, the amplitude of a group of carrier data is 2V, and the amplitude of a group of carrier data is 4V, then the amplitude of a group of carrier data of 2V is Amplify the processing to increase the amplitude to 4V, so as to facilitate subsequent calculation and processing of the two sets of carrier data.
  • the amplitude of a set of carrier data is 2V
  • the amplitude of a set of carrier data is 4V
  • the amplitude of a set of carrier data is 6V
  • the amplitudes of the three sets of carrier data can be combined to take the least common multiple, and the three sets of carrier data can be combined
  • the amplitude of the data is amplified to 12V to facilitate subsequent calculation and processing of the three sets of carrier data.
  • step S110 may include but not limited to step S111 .
  • Step S111 performing amplification processing on multiple sets of carrier data according to preset standard carrier amplitudes.
  • multiple sets of carrier data can be amplified according to the preset standard carrier amplitude; for example, for the three sets of carrier data, their amplitudes are 2V, 3V and 4V respectively, and the preset standard carrier The amplitude is 12V, and then the above three sets of carrier data can be amplified, and the amplitudes of the three sets of carrier data are all amplified to 12V, so as to facilitate subsequent calculation and processing of the three sets of carrier data.
  • step S500 may be included but not limited to before step S400 .
  • Step S500 storing multiple sets of time-domain carrier data in a preset storage interval.
  • time-domain carrier aggregation data multiple sets of time-domain carrier data can be obtained; then the obtained multiple sets of time-domain carrier data are stored in a preset storage interval, so that other subsequent data processing modules can The corresponding time-domain carrier data is acquired, analyzed and processed; it can be understood that the divided multiple groups of time-domain carrier data can be acquired and utilized by other data processing modules; Read the corresponding time-domain carrier data in the interval, and then demodulate the time-domain carrier data to obtain the original baseband signal.
  • the storage interval may be a storage interval of a hardware memory or a storage interval of a virtual memory.
  • multiple sets of time-domain carrier data can be obtained after dividing the time-domain carrier aggregation data; when storing multiple sets of time-domain carrier data, multiple sets of time-domain carrier data can be stored together in a continuous preset storage intervals; multiple sets of time-domain carrier data can also be stored separately, and multiple sets of time-domain carrier data can be stored in discontinuous preset storage intervals.
  • the frequency-domain carrier aggregation data format can be as shown in FIG. 9 .
  • Supplementing 0 means performing 0-supplementing processing on the carrier data to meet the requirements of subsequent time-frequency conversion processing; pseudo-IQ means that the carrier data is Normalization processing is used to amplify the amplitude of the carrier data; MSG is used to represent the effective sample points of the carrier aggregation data in the frequency domain, and gap is used to represent the interval between different carrier data and to divide different carrier data.
  • the time-domain carrier aggregation data format can be as shown in FIG. 10 , padding with 0 means performing zero-filling processing on the carrier data; message is used to represent valid samples of the time-domain carrier aggregation data, that is, it is truly valid The data information; gap is used to indicate the interval between different time-domain carrier data, and is used to divide different time-domain carrier data.
  • the aggregation of the corresponding carrier data can effectively manage the aggregation of the carrier data and improve the efficiency of the aggregation of the carrier data.
  • an embodiment of the present application also provides a carrier data processing device 1000, including:
  • the first processing module 1100 is configured to acquire multiple sets of carrier data and multiple sets of carrier aggregation configuration parameters corresponding to the carrier data;
  • the second processing module 1200 is configured to perform first processing on multiple sets of carrier data according to carrier aggregation configuration parameters to obtain frequency domain carrier aggregation data;
  • the third processing module 1300 is configured to perform a second processing on the frequency domain carrier aggregation data to obtain the time domain carrier aggregation data;
  • the fourth processing module 1400 is configured to perform third processing on the time-domain carrier aggregation data to obtain multiple sets of time-domain carrier data.
  • the first processing module 1100 is used to acquire multiple sets of carrier data and carrier aggregation configuration parameters corresponding to the carrier data; then, the second processing module 1200 is used to perform first processing on the multiple sets of carrier data according to the carrier aggregation configuration parameters, Obtain the carrier aggregation data in the frequency domain; then use the third processing module 1300 to perform the second processing on the carrier aggregation data in the frequency domain to obtain the carrier aggregation data in the time domain; finally use the fourth processing module 1400 to process the carrier aggregation data in the time domain obtained By performing the third processing, multiple sets of time-domain carrier data can be obtained; the corresponding carrier data is aggregated through the carrier aggregation configuration parameters, which can effectively manage the carrier data aggregation and improve the efficiency of the carrier data aggregation.
  • the carrier data processing apparatus 1000 may further include a fifth module 1500, and the fifth module 1500 is configured to store multiple sets of time-domain carrier data in a preset storage interval.
  • multiple sets of time-domain carrier data can be obtained after the time-domain carrier aggregation data is divided; then the fifth module 1500 is used to store the obtained multiple sets of time-domain carrier data in a preset storage interval, so that subsequent Other data processing modules acquire, analyze and process corresponding time-domain carrier data; it can be understood that multiple sets of time-domain carrier data obtained by segmentation can be acquired and utilized by other data processing modules; for example, the digital signal processing module can The corresponding time-domain carrier data is read from the preset storage interval, and then the time-domain carrier data is demodulated to obtain the original baseband signal.
  • the carrier data processing device 1000 in this embodiment and the carrier data processing method in the above embodiments belong to the same inventive concept, so these embodiments have the same implementation principle and technical effect, and will not be described in detail here .
  • an embodiment of the present application also provides a network device 700 .
  • the network device 600 includes: a memory 620 , a processor 610 , and an Computer program.
  • the processor 610 and the memory 620 may be connected through a bus or in other ways.
  • network device 600 in this embodiment and the carrier data processing method in the above embodiments belong to the same inventive concept, so these embodiments have the same implementation principle and technical effect, and will not be described in detail here.
  • the non-transitory software programs and instructions required to realize the carrier data processing method of the above-mentioned embodiment are stored in the memory 620, and when executed by the processor 610, the carrier data processing method in the above-mentioned embodiment is executed, for example, executing the above-described Method steps S100 to S400 in Fig. 1, method steps S210 to S230 in Fig. 2, method steps S310 to S320 in Fig. 3, method steps S410 to S420 in Fig. 4, method steps S110 in Fig. 5, Fig. 6 Method step S111 in , method step S500 in FIG. 7 .
  • an embodiment of the present application also provides a computer-readable storage medium, the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are executed by a processor 610, for example, by the above-mentioned network device 600 is executed by a processor 610 in the embodiment, which can cause the above-mentioned processor 610 to execute the carrier data processing method in the above-mentioned embodiment, for example, execute the method steps S100 to S400 in FIG. 1 and the method steps in FIG. 2 described above S210 to S230, method steps S310 to S320 in FIG. 3 , method steps S410 to S420 in FIG. 4 , method step S110 in FIG. 5 , method step S111 in FIG. 6 , method step S500 in FIG. 7 .
  • the embodiment of the present application includes: acquiring multiple sets of carrier data and multiple sets of carrier aggregation configuration parameters corresponding to the carrier data; performing first processing on multiple sets of carrier data according to the carrier aggregation configuration parameters to obtain frequency domain carrier aggregation data; frequency domain carrier The second processing is performed on the aggregated data to obtain time-domain carrier aggregation data; the third processing is performed on the time-domain carrier aggregation data to obtain multiple sets of time-domain carrier data.
  • the configuration parameters aggregate the corresponding carrier data, which can effectively manage the aggregation of the carrier data and improve the efficiency of the aggregation of the carrier data.
  • Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cartridges, tape, magnetic disk storage or other magnetic storage devices, or can Any other medium used to store desired information and which can be accessed by a computer.
  • communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media .

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Abstract

一种载波数据处理方法、装置、网络设备及存储介质。载波数据处理方法包括：获取多组载波数据以及多组与载波数据对应的载波汇聚配置参数（S100）；根据载波汇聚配置参数对多组载波数据进行第一处理，得到频域载波汇聚数据（S200）；对频域载波汇聚数据进行第二处理，得到时域载波汇聚数据（S300）；对时域载波汇聚数据进行第三处理，得到多组时域载波数据（S400）。

Description

载波数据处理方法、装置、网络设备及存储介质
相关申请的交叉引用
本申请基于申请号为202111128244.4、申请日为2021年09月26日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本申请实施例涉及但不限于通信技术领域，尤其涉及一种载波数据处理方法、装置、网络设备及存储介质。
背景技术
在通信技术领域中，无线通信系统需要支持高速的数据传输速率；载波数据汇聚技术将系统中的多个载波数据汇聚在一起，形成较大的传输带宽，从而满足数据的高速传输；但是，目前没有相关手段来对载波数据汇聚进行有效的管理，使得载波数据汇聚的效率较低。
发明内容
以下是对本文详细描述的主题的概述。本概述并非是为了限制权利要求的保护范围。
本申请实施例提供了一种载波数据处理方法、装置、网络设备及存储介质。
第一方面，本申请实施例提供了一种载波数据处理方法，包括：获取多组载波数据以及与多组所述载波数据对应的载波汇聚配置参数；根据所述载波汇聚配置参数对多组所述载波数据进行第一处理，得到频域载波汇聚数据；对所述频域载波汇聚数据进行第二处理，得到时域载波汇聚数据；对所述时域载波汇聚数据进行第三处理，得到多组时域载波数据。
第二方面，本申请实施例还提供了一种载波数据处理装置，包括：第一处理模块，被设置为获取多组载波数据以及与多组所述载波数据对应的载波汇聚配置参数；第二处理模块，被设置为根据所述载波汇聚配置参数对多组所述载波数据进行第一处理，得到频域载波汇聚数据；第三处理模块，被设置为对所述频域载波汇聚数据进行第二处理，得到时域载波汇聚数据；第四处理模块，被设置为对所述时域载波汇聚数据进行第三处理，得到多组时域载波数据。
第三方面，本申请实施例还提供了一种网络设备，包括：至少一个处理器；少一个存储器，用于存储至少一个程序；当至少一个所述程序被至少一个所述处理器执行时实现如上所述的载波数据处理方法。
第四方面，本申请实施例还提供了一种计算机可读存储介质，存储有计算机可执行指令，所述计算机可执行指令用于执行如上所述的载波数据处理方法。
本申请的其它特征和优点将在随后的说明书中阐述，并且，部分地从说明书中变得显而易见，或者通过实施本申请而了解。本申请的目的和其他优点可通过在说明书、权利要求书以及附图中所特别指出的结构来实现和获得。
附图说明
附图用来提供对本申请技术方案的进一步理解，并且构成说明书的一部分，与本申请的实施例一起用于解释本申请的技术方案，并不构成对本申请技术方案的限制。
图1是本申请一个实施例提供的载波数据处理方法的流程图；
图2是本申请另一个实施例提供的得到频域载波汇聚数据的具体流程图；
图3是本申请另一个实施例提供的得到时域载波汇聚数据的具体流程图；
图4是本申请另一个实施例提供的得到多组时域载波数据的具体流程图；
图5是本申请另一个实施例提供的载波数据处理方法的流程图；
图6是本申请另一个实施例提供的对多组载波数据进行归一化处理的具体流程图；
图7是本申请另一个实施例提供的载波数据处理方法的流程图；
图8是本申请一个实施例提供的多组载波数据的数据格式示意图；
图9是本申请一个实施例提供的频域载波汇聚数据的数据格式示意图；
图10是本申请一个实施例提供的时域载波汇聚数据的数据格式示意图；
图11是本申请一个实施例提供的多组时域载波数据的数据格式示意图；
图12是本申请另一实施例提供的载波数据处理装置的构造示意图；
图13是本申请另一实施例提供的网络设备的构造示意图。
具体实施方式
为了使本申请的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本申请进行进一步详细说明。应当理解，此处所描述的具体实施例仅用以解释本申请，并不用于限定本申请。
需要说明的是，虽然在装置示意图中进行了功能模块划分，在流程图中示出了逻辑顺序，但是在某些情况下，可以以不同于装置中的模块划分，或流程图中的顺序执行所示出或描述的步骤。说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。
本申请提供了一种载波数据处理方法、装置、网络设备及存储介质，获取多组载波数据以及与载波数据对应的载波汇聚配置参数；根据载波汇聚配置参数对多组载波数据进行第一处理，得到频域载波汇聚数据；对频域载波汇聚数据进行第二处理，得到时域载波汇聚数据；对时域载波汇聚数据进行第三处理，得到多组时域载波数据。首先获取多组载波数据以及与载波数据对应的载波汇聚配置参数；然后根据载波汇聚配置参数对多组载波数据进行第一处理，得到频域载波汇聚数据；接着对得到的频域载波汇聚数据进行第二处理，就得到时域载波汇聚数据；最后对得到的时域载波汇聚数据进行第三处理，就能够得到多组时域载波数据；通过载波汇聚配置参数对相应的载波数据进行汇聚，能够有效地对载波数据汇聚进行管理，提高载波数据汇聚的效率。
下面结合附图，对本申请实施例作进一步阐述。
如图1所示，图1是本申请一个实施例提供的载波数据处理方法的流程图。该载波数据处理方法包括但不限于有步骤S100、步骤S200、步骤S300和步骤S400：
步骤S100，获取多组载波数据以及多组与载波数据对应的载波汇聚配置参数；
步骤S200，根据载波汇聚配置参数对多组载波数据进行第一处理，得到频域载波汇聚数据；
步骤S300，对频域载波汇聚数据进行第二处理，得到时域载波汇聚数据；
步骤S400，对时域载波汇聚数据进行第三处理，得到多组时域载波数据。
需要说明的是，首先获取多组载波数据以及与载波数据对应的载波汇聚配置参数；然后根据载波汇聚配置参数对多组载波数据进行第一处理，得到频域载波汇聚数据；接着对得到的频域载波汇聚数据进行第二处理，就得到时域载波汇聚数据；最后对得到的时域载波汇聚数据进行第三处理，就能够得到多组时域载波数据；通过载波汇聚配置参数对相应的载波数据进行汇聚，能够有效地对载波数据汇聚进行管理，提高载波数据汇聚的效率。
可以理解的是，通过与载波数据对应的载波汇聚配置参数，使得接收到的多组载波数据可以根据实际的需要而进行汇聚处理，使得载波数据的汇聚管理更加简便有效。
需要说明的是，在有线电和无线电技术中，用要传送的信号去调制另一个高频信号，使已调制的高频振荡中载有调制信号所包含的信息，然后发送出去。这种被调制的高频信号叫做载波。
值得注意的是，本申请实施例中的载波数据不只是单纯的载波，而是包括调制信号的载波，即载波数据中包括了调制信号所包含的信息，而调制信号是由原始的基带信号而调制得到；基带信号是最开始需要进行传送的信号，但是基带信号往往都是处于较低的频域，不便于进行传输，因此需要利用载波进行调制，使得基带信号被调制到高频的频域，从而有利于信号传输。
可以理解的是，多组载波数据即为多组来源不同的载波数据；示例性地，对于一个基站，基站可以有多条接收天线，而每一条天线又可以接收不同的手机终端所发送的载波数据，即利用基站的一条天线就能够接收多组载波数据，在接收到多组载波数据后，基站还可以将接收到的多组载波数据存储到预设的存储区间。将多组载波数据存储到预设的存储区间后，载波数据就有相应的地址索引标记，通过地址索引标记，其他的数据处理模块就能够通过地址索引标记提取到相应的载波数据。示例性地，如图8所示，该多组载波数据为基站所接收获取得到的载波数据，其中，一组载波数据包括Fsymbol0 Ant 0至Fsymbol0 Ant n；Fsymbol表示符号，用于区分不同的载波数据，Ant表示天线，cell表示小区。
可以理解的是，载波汇聚配置参数可以是人为地设定，也可以通过软件终端而设定；示例性地，接收到的载波数据的组数为3，而要求将2组载波进行汇聚，因此可以人为地将载波汇聚配置参数配置为2，因此就能够对2组载波进行汇聚处理，使得载波汇聚管理更加简便快捷。或者可以通过监测载波的带宽而进行后续的载波合并处理，例如，接收到4组带宽为5M的载波数据，但是实际能够传递的带宽资源只有15M，因此软件终端就可以根据带宽的情况而将载波汇聚配置参数配置为3，进而对3组载波数据进行汇聚处理。
可以理解的是，根据载波汇聚配置参数对多组载波数据进行第一处理，得到频域载波汇聚数据；第一处理即为对多组载波数据进行汇聚处理，汇聚处理即为将多个载波数据聚合成一个更宽的频谱,同时也可以把一些不连续的频谱碎片聚合到一起；多载波聚合还可以分为连续载波聚合和非连续载波聚合。对频域载波汇聚数据进行第二处理，得到时域载波汇聚数据，第二处理可以为时频转换，即将频域载波汇聚数据通过时频转换处理，进而得到时域载波汇聚数据。对时域载波汇聚数据进行第三处理，得到多组时域载波数据，第三处理可以为分割 处理，即将时域载波汇聚数据进行分割处理，得到多组时域载波数据；需要说明的是，时域载波数据为其他数据处理模块能够直接进行采集处理的数据，可以理解的是，本申请实施例中获取的多组载波数据为频域数据，经过汇聚、时频变换和分割处理之后，就能够得到多组时频载波数据。
需要说明的是，载波数据属性信息用于表征载波数据中的有效长度及待处理的样点数，待处理的样点即为载波数据中真实有效的信息，待处理的样点数即为载波数据中真实有效的信息的数量。
另外，在一实施例中，载波汇聚配置参数包括载波汇聚功能开关参数，载波汇聚功能开关参数用于表征多组载波数据的汇聚特征，如图2所示，上述步骤S200可以包括但不限于步骤S210、步骤S220和步骤S230。
步骤S210，根据多组载波数据的汇聚特征确定待合并载波参数，待合并载波参数用于表征待汇聚的载波数据的组数；
步骤S220，根据待合并载波参数从多组所述载波数据中确定待汇聚的载波数据；
步骤S230，对待汇聚的载波数据进行合并，得到频域载波汇聚数据。
需要说明的是，首先根据多组载波数据的汇聚特征确定待合并载波参数，其中，待合并载波参数用于表征待汇聚的载波数据的组数；接着根据待合并载波参数从多组所述载波数据中确定待汇聚的载波数据，最后对待汇聚的载波数据进行合并，得到频域载波汇聚数据。
可以理解的是，载波汇聚功能开关参数用于表征载波数据的汇聚特征，即载波汇聚功能开关参数表示相应载波数据的汇聚功能开关是否被开启，只有在载波数据的汇聚功能开关处于开启的状态，该载波数据才能够进行汇聚处理；示例性地，获取到3组载波数据，其中，只有2组的载波数据的汇聚功能开关处于开启状态，则待合并载波参数就为2，从而后续就可以根据待合并载波参数对相应的两组载波数据进行汇聚处理。
值得注意的是，载波汇聚配置参数可以通过人为设置，也可以通过软件系统而进行设定；示例性地，获取到3组载波数据，人为地设定2组的汇聚功能开关为开启状态，则待合并载波参数即为2，从而就可以对两组汇聚功能开关为开启状态的载波数据进行汇聚合并处理。此外，还可以在软件系统中设定载波数据的带宽作为载波数据汇聚的依据，示例性地，获取到4组载波数据，4组载波数据的带宽分别为2M、3M、4M和9M，而软件系统设定本次传输的数据带宽只有8M，则软件系统就会将前3组的载波数据的汇聚功能开关设定为开启状态，从而后续就会对汇聚功能开关设定为开启状态的前三组载波数据进行汇聚处理。
可以理解的是，待合并载波参数是根据载波汇聚功能开关参数而得到；载波汇聚功能开关参数中设定的载波数据的汇聚功能开关处于开启状态的数目即为待合并载波参数；示例性地，载波汇聚功能开关参数中设定的载波数据的汇聚功能开关处于开启状态的数目为2，则待合并载波参数即为2。
需要说明的是，对待汇聚的载波数据进行汇聚合并之后，还可以对频域载波汇聚数据进行补值处理，例如进行补0处理，使得频域载波汇聚数据有足够的样点数，以便于后续进行时频变换处理。样点即为载波汇聚数据中真实有效的信息，即原始基带信号所包含的信息。
另外，在一实施例中，如图3所示，上述步骤S300可以包括但不限于步骤S310、步骤S320和步骤S320。
步骤S310，从频域载波汇聚数据中确定有效频域载波数据，有效频域载波数据为携带有效样点的频域载波汇聚数据；
步骤S320，对有效频域载波数据进行信号变换处理，得到时域载波汇聚数据。
需要说明的是，首先从频域载波汇聚数据中确定有效频域载波数据，有效频域载波数据为携带有效样点的频域载波汇聚数据；接着对有效频域载波数据进行信号变换处理，就可以得到时域载波汇聚数据。
值得注意的是，有效频域载波数据为携带有效样点的频域载波汇聚数据；其中，有效样点即为频域载波汇聚数据中实际上包含有效信息的数据，有效信息即为需要进行处理分析的基带数据信息；可以理解的是，在对频域载波汇聚数据进行信号变换处理的过程中，只需要对频域载波汇聚数据中的有效频域载波数据进行处理；示例性地，待合并载波参数为3，则表示只对三组载波数据进行了汇聚合并处理，进而就能够根据待合并载波参数确定频域载波汇聚数据中的有效频域载波数据，从而就可以对有效频域载波数据进行信号变换处理。
可以理解的是，信号变换处理可以为时频变换处理，即将频域载波汇聚数据通过时频变换处理，将频域数据转换为时频数据，得到时域载波汇聚数据；时频变换处理又可以为傅里叶变换或者快速傅里叶变换，即将处于频域的频域载波汇聚数据转换为处于时域的时域载波汇聚数据；需要说明的是，在进行傅里叶变换或者快速傅里叶变换需要设定基本处理单元的大小，例如设定基本处理单元的大小为256，则每次处理的样点数为256个，但是如果有效频域载波数据中的样点数不够256，则需要进行补0处理，从而能够完成傅里叶变换或者快速傅里叶变换；可以理解的是，补0处理不会改变数据的真实性。
另外，在一实施例中，时域载波汇聚数据携带有载波分组信息，如图4所示，上述步骤S400可以包括但不限于步骤S410和步骤S420。
步骤S410，根据载波分组信息确定时域载波分组数；
步骤S420，根据时域载波分组数将时域载波汇聚数据分割为多组时域载波数据。
需要说明的是，根据载波分组信息确定时域载波分组数，根据时域载波分组数将时域载波汇聚数据分割为多组时域载波数据。
可以理解的是，时域载波汇聚数据携带有载波分组信息，根据载波分组信息就能够对时域载波汇聚数据进行分割处理，进而就能够得到多组时域载波数据；值得注意的是，载波分组信息可以为信息标记，在时域载波汇聚数据中携带有信息标记，通过信息标记就可以对时域载波汇聚数据进行分割处理，得到多组时域载波数据，对原来的进行汇聚的多组频域载波数据信息进行信息还原，得到与原来的多组频域载波数据信息对应的多组时域载波数据，以便于后续的其他数据处理模块对分割得到的多组时域载波数据进行获取利用。
值得注意的是，根据载波分组信息，将时域载波汇聚数据分割为多组时域载波数据；分割即为对时域载波汇聚数据进行划分处理，得到与原来的多组频域载波数据对应的多组时域载波数据。示例性地，对于基站获取得到的载波数据，经过汇聚、时频变换以及分割处理之后得到的多组时域载波数据的数据格式可以如图11所示，其中，一组时域载波数据包括symbol0 Ant 0至symbol0 Ant n；symbol表示符号，用于区分不同的时域载波数据，Ant表示天线，cell表示小区。
另外，在一实施例中，如图5所示，步骤S200之前可以包括但不限于步骤S110。
步骤S110，对多组载波数据进行归一化处理。
需要说明的是，在根据载波汇聚配置参数对多组载波数据进行第一处理之前还可以包括对多组载波数据进行归一化处理；将对多组载波数据的数据格式进行统一，以便于后续进行计算处理；示例性地，可以对载波数据的幅度进行统一处理，例如，一组载波数据的幅度为2V，而一组载波数据的幅度为4V，则将幅度为2V的一组载波数据进行放大处理，使其幅度也增大至4V，以便于后续对这两组载波数据进行计算处理。或者，一组载波数据的幅度为2V，一组载波数据的幅度为4V，一组载波数据的幅度为6V，则可以结合这三组载波数据的幅度取最小公倍数，则可以将这三组载波数据的幅度都放大至12V，以便于后续对这三组载波数据进行计算处理。
另外，在一实施例中，如图6所示，上述步骤S110可以包括但不限于步骤S111。
步骤S111，对多组载波数据按照预设的标准载波幅度进行放大处理。
需要说明的是，可以根据预设的标准载波幅度，对多组载波数据进行放大处理；示例性地，对于三组载波数据，它们的幅度分别为2V、3V和4V，而预设的标准载波幅度为12V，进而就可以对上述的三组载波数据进行放大处理，将三组载波数据的幅度均放大至12V，以便于后续对三组载波数据进行计算处理。
另外，在一实施例中，如图7所示，在步骤S400之前可以包括但不限于步骤S500。
步骤S500，将多组时域载波数据存储于预设的存储区间。
需要说明的是，对时域载波汇聚数据进行分割之后就能够得到多组时域载波数据；接着将得到的多组时域载波数据存储到预设的存储区间，以便于后续其他数据处理模块对相应的时域载波数据进行获取分析处理；可以理解的是，分割得到的多组时域载波数据能够被其他数据处理模块进行获取以及利用；示例性地，数字信号处理模块可以从预设的存储区间读取相应的时域载波数据，接着对该时域载波数据进行解调处理，以获得原始的基带信号。
可以理解的是，存储区间可以为硬件存储器的存储区间或者虚拟存储器的存储区间。
值得注意的是，在对时域载波汇聚数据进行分割之后就能够得到多组时域载波数据；在对多组时域载波数据进行存储的时候，可以将多组时域载波数据一起存储到连续的预设的存储区间；也可以分别对多组时域载波数据进行存储，将多组时域载波数据存储到不连续的预设的存储区间。
另外，在一实施例中，频域载波汇聚数据格式可以如图9所示，补0即对载波数据进行补0处理，以满足后续的时频变换处理的要求；伪IQ表示对载波数据进行归一化处理，对载波数据的幅度进行放大处理；MSG用于表示频域载波汇聚数据的有效样点，gap用于表示不同载波数据之间的间隔，用于划分不同的载波数据。
另外，在一实施例中，时域载波汇聚数据格式可以如图10所示，补0即对载波数据进行补0处理；message用于表示时域载波汇聚数据的有效样点，即为真正有效的数据信息；gap用于表示不同时域载波数据之间的间隔，用于划分不同的时域载波数据。
通过上述实施例的技术方案，首先获取多组载波数据以及与载波数据对应的载波汇聚配置参数；然后根据载波汇聚配置参数对多组载波数据进行第一处理，得到频域载波汇聚数据；接着对得到的频域载波汇聚数据进行第二处理，就得到时域载波汇聚数据；最后对得到的时域载波汇聚数据进行第三处理，就能够得到多组时域载波数据；通过载波汇聚配置参数对相应的载波数据进行汇聚，能够有效地对载波数据汇聚进行管理，提高载波数据汇聚的效率。
另外，如图12所示，本申请的一个实施例还提供了一种载波数据处理装置1000，包括：
第一处理模块1100，被设置为获取多组载波数据以及多组与载波数据对应的载波汇聚配置参数；
第二处理模块1200，被设置为根据载波汇聚配置参数对多组载波数据进行第一处理，得到频域载波汇聚数据；
第三处理模块1300，被设置为对频域载波汇聚数据进行第二处理，得到时域载波汇聚数据；
第四处理模块1400，被设置为对时域载波汇聚数据进行第三处理，得到多组时域载波数据。
需要说明的是，首先利用第一处理模块1100获取多组载波数据以及与载波数据对应的载波汇聚配置参数；然后利用第二处理模块1200根据载波汇聚配置参数对多组载波数据进行第一处理，得到频域载波汇聚数据；接着利用第三处理模块1300对得到的频域载波汇聚数据进行第二处理，就得到时域载波汇聚数据；最后利用第四处理模块1400对得到的时域载波汇聚数据进行第三处理，就能够得到多组时域载波数据；通过载波汇聚配置参数对相应的载波数据进行汇聚，能够有效地对载波数据汇聚进行管理，提高载波数据汇聚的效率。
在一些实施例中，载波数据处理装置1000还可以包括第五模块1500，第五模块1500被设置为将多组时域载波数据存储于预设的存储区间。
需要说明的是，对时域载波汇聚数据进行分割之后就能够得到多组时域载波数据；接着利用第五模块1500将得到的多组时域载波数据存储到预设的存储区间，以便于后续其他数据处理模块对相应的时域载波数据进行获取分析处理；可以理解的是，分割得到的多组时域载波数据能够被其他数据处理模块进行获取以及利用；示例性地，数字信号处理模块可以从预设的存储区间读取相应的时域载波数据，接着对该时域载波数据进行解调处理，以获得原始的基带信号。
需要说明的是，本实施例中的载波数据处理装置1000和上述实施例中的载波数据处理方法属于相同的发明构思，因此这些实施例具有相同的实现原理以及技术效果，此处不再详述。
另外，如图13所示，本申请的一个实施例还提供了一种网络设备700，该网络设备600包括：存储器620、处理器610及存储在存储器620上并可在处理器610上运行的计算机程序。
处理器610和存储器620可以通过总线或者其他方式连接。
需要说明的是，本实施例中的网络设备600和上述实施例中的载波数据处理方法属于相同的发明构思，因此这些实施例具有相同的实现原理以及技术效果，此处不再详述。
实现上述实施例的载波数据处理方法所需的非暂态软件程序以及指令存储在存储器620中，当被处理器610执行时，执行上述实施例中的载波数据处理方法，例如，执行以上描述的图1中的方法步骤S100至S400、图2中的方法步骤S210至S230、图3中的方法步骤S310至S320、图4中的方法步骤S410至S420、图5中的方法步骤S110、图6中的方法步骤S111、图7中的方法步骤S500。
此外，本申请的一个实施例还提供了一种计算机可读存储介质，该计算机可读存储介质存储有计算机可执行指令，该计算机可执行指令被一个处理器610执行，例如，被上述网络设备600实施例中的一个处理器610执行，可使得上述处理器610执行上述实施例中的载波数据处理方法，例如，执行以上描述的图1中的方法步骤S100至S400、图2中的方法步骤 S210至S230、图3中的方法步骤S310至S320、图4中的方法步骤S410至S420、图5中的方法步骤S110、图6中的方法步骤S111、图7中的方法步骤S500。
本申请实施例包括：获取多组载波数据以及多组与载波数据对应的载波汇聚配置参数；根据载波汇聚配置参数对多组载波数据进行第一处理，得到频域载波汇聚数据；对频域载波汇聚数据进行第二处理，得到时域载波汇聚数据；对时域载波汇聚数据进行第三处理，得到多组时域载波数据。根据本申请实施例提供的方案，首先获取多组载波数据以及多组与载波数据对应的载波汇聚配置参数；然后根据载波汇聚配置参数对多组载波数据进行第一处理，得到频域载波汇聚数据；接着对得到的频域载波汇聚数据进行第二处理，就得到时域载波汇聚数据；最后对得到的时域载波汇聚数据进行第三处理，就能够得到多组时域载波数据；通过载波汇聚配置参数对相应的载波数据进行汇聚，能够有效地对载波数据汇聚进行管理，提高载波数据汇聚的效率。
本领域普通技术人员可以理解，上文中所公开方法中的全部或某些步骤、系统可以被实施为软件、固件、硬件及其适当的组合。某些物理组件或所有物理组件可以被实施为由处理器，如中央处理器、数字信号处理器或微处理器执行的软件，或者被实施为硬件，或者被实施为集成电路，如专用集成电路。这样的软件可以分布在计算机可读介质上，计算机可读介质可以包括计算机存储介质(或非暂时性介质)和通信介质(或暂时性介质)。如本领域普通技术人员公知的，术语计算机存储介质包括在用于存储信息(诸如计算机可读指令、数据结构、程序模块或其他数据)的任何方法或技术中实施的易失性和非易失性、可移除和不可移除介质。计算机存储介质包括但不限于RAM、ROM、EEPROM、闪存或其他存储器技术、CD-ROM、数字多功能盘(DVD)或其他光盘存储、磁盒、磁带、磁盘存储或其他磁存储装置、或者可以用于存储期望的信息并且可以被计算机访问的任何其他的介质。此外，本领域普通技术人员公知的是，通信介质通常包含计算机可读指令、数据结构、程序模块或者诸如载波或其他传输机制之类的调制数据信号中的其他数据，并且可包括任何信息递送介质。
以上是对本申请的若干实施进行了具体说明，但本申请并不局限于上述实施方式，熟悉本领域的技术人员在不违背本申请精神的前提下还可作出种种的等同变形或替换，这些等同的变形或替换均包含在本申请权利要求所限定的范围内。

Claims (10)

  1. 一种载波数据处理方法，包括：
    获取多组载波数据以及与多组所述载波数据对应的载波汇聚配置参数；
    根据所述载波汇聚配置参数对多组所述载波数据进行第一处理，得到频域载波汇聚数据；
    对所述频域载波汇聚数据进行第二处理，得到时域载波汇聚数据；
    对所述时域载波汇聚数据进行第三处理，得到多组时域载波数据。
  2. 根据权利要求1所述的载波数据处理方法，其中，所述载波汇聚配置参数包括载波汇聚功能开关参数，所述载波汇聚功能开关参数用于表征多组所述载波数据的汇聚特征，所述根据所述载波汇聚配置参数对多组所述载波数据进行第一处理，得到频域载波汇聚数据，包括：
    根据多组所述载波数据的所述汇聚特征确定待合并载波参数，所述待合并载波参数用于表征待汇聚的所述载波数据的组数；
    根据所述待合并载波参数从多组所述载波数据中确定待汇聚的所述载波数据；
    对待汇聚的所述载波数据进行合并，得到所述频域载波汇聚数据。
  3. 根据权利要求1所述的载波数据处理方法，其中，所述对所述频域载波汇聚数据进行第二处理，得到时域载波汇聚数据，包括：
    从所述频域载波汇聚数据中确定有效频域载波数据，所述有效频域载波数据为携带有效样点的所述频域载波汇聚数据；
    对所述有效频域载波数据进行信号变换处理，得到所述时域载波汇聚数据。
  4. 根据权利要求1所述的载波数据处理方法，其中，所述时域载波汇聚数据携带有载波分组信息，所述对所述时域载波汇聚数据进行第三处理，得到多组时域载波数据，包括：
    根据所述载波分组信息确定时域载波分组数；
    根据所述时域载波分组数将所述时域载波汇聚数据分割为多组所述时域载波数据。
  5. 根据权利要求1所述的载波数据处理方法，其中，所述根据所述载波汇聚配置参数对多组所述载波数据进行第一处理，得到频域载波汇聚数据之前，还包括：
    对多组所述载波数据进行归一化处理。
  6. 根据权利要求5所述的载波数据处理方法，其中，所述对多组所述载波数据进行归一化处理，包括：
    对多组所述载波数据按照预设的标准载波幅度进行放大处理。
  7. 根据权利要求1所述的载波数据处理方法，其中，所述对所述时域载波汇聚数据进行第三处理，得到多组时域载波数据之后，还包括：
    将多组所述时域载波数据存储于预设的存储区间。
  8. 一种载波数据处理装置，包括：
    第一处理模块，被设置为获取多组载波数据以及与多组所述载波数据对应的载波汇聚配置参数；
    第二处理模块，被设置为根据所述载波汇聚配置参数对多组所述载波数据进行第一处理，得到频域载波汇聚数据；
    第三处理模块，被设置为对所述频域载波汇聚数据进行第二处理，得到时域载波汇聚数据；
    第四处理模块，被设置为对所述时域载波汇聚数据进行第三处理，得到多组时域载波数据。
  9. 一种网络设备，包括：
    至少一个处理器；
    至少一个存储器，用于存储至少一个程序；
    当至少一个所述程序被至少一个所述处理器执行时实现如权利要求1至7任意一项所述的载波数据处理方法。
  10. 一种计算机可读存储介质，存储有计算机可执行指令，其中，所述计算机可执行指令用于执行权利要求1至7任意一项所述的载波数据处理方法。
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