Patent ID: 12207309

DETAILED DESCRIPTION

The present disclosure will be described hereinafter with reference to drawings and embodiments. It is to be noted that if not in collision, the embodiments and features therein in the present disclosure may be combined with each other.

It is to be noted that the terms “first”, “second” and the like in the description, claims and the preceding drawings of the present disclosure are used for distinguishing between similar objects and are not necessarily used for describing a particular order or sequence.

The embodiment provides a method for physical random access channel (PRACH) data merging.FIG.3is the flowchart of the method according to the embodiment of the present disclosure. As shown inFIG.3, the flow includes the following.

In S301, a task parameter of current PRACH data merging is parsed.

In S302, PRACH data of a to-be-merged antenna is read from a PRACH data cache.

In S303, PRACH data merging between multiple antennas and/or front and back RACH data merging within a PRACH of an antenna are performed according to the task parameter.

In S304, merged PRACH data is output to a shared cache.

In S301of the embodiment, the task parameter includes at least one of: a PRACH format, a data merging mode, a data storage address, or data volume of PRACH data in a current orthogonal frequency-division multiplexing (OFDM) symbol.

In S302of the embodiment, to-be-merged PRACH data is read from the PRACH data cache successively in units of an OFDM symbol, and the PRACH data merging is started every time a piece of OFDM symbol data is received.

In S303of the embodiment, whether the PRACH data merging between the multiple antennas needs to be performed may be determined first. If it is required to perform the PRACH data merging between the multiple antennas, PRACH data of the multiple antennas is merged according to an OFDM symbol time in time division, and then front and back RACH data within a PRACH of an antenna is merged.

In S303, for PRACH data merging between antennas or PRACH data merging within the antenna, after PRACH data processing during a current OFDM symbol time, field data is cached, and field data of a corresponding antenna is restored for continuing processing after PRACH data of a next OFDM symbol time arrives.

Before S301of the embodiment, the following may further be included. The task parameter of the current PRACH data merging is configured.

After S304of the embodiment, the following may further be included. Processing of a fast Fourier transform (FFT), a frequency domain mother code relation, an inverse fast Fourier transform (IFFT) and data merging peak detection are performed on a merged preamble sequence.

In the preceding embodiment of the present disclosure, multiple frequencies and multiple PRACH formats can be adapted to through the task parameter, and thus data processing of multiple different PRACHs can be completed, thereby improving the processing efficiency.

To facilitate the understanding of the embodiments of the present disclosure, description will be made through embodiments in application scenes.

The embodiment provides a method for PRACH data merging in the 5G NR. In the embodiment, different configuration cases of antennas and frequencies may be selected to simultaneously complete PRACH data merging of multiple frequencies. In addition, in the embodiment, the combination configuration of different bandwidths and different PRACH formats may be supported, so that the speed is fast, the computation cost is saved, the processing resources and power consumption are saved, and the excellent flexibility and scalability are achieved.

In the embodiment, an OFDM symbol is taken as the processing unit, PRACH data of n (n may be configured according to software) OFDM symbols is processed every time, and PRACH data of multiple antennas is merged in time division. The multiple antennas multiplex a PRACH data merging module to complete respective processing in order. The configured parameter configuration is parsed before each start, of PRACH data merging, and information of current data merging processing, such as the PRACH format, the merging type, the amount of merged data, the PRACH frequency point and the amount of merged data completed by the current PRACH, is obtained for merging processing.

As shown inFIG.4, processing steps of the embodiment are successively as follows: parsing the configured parameter, reading PRACH data, merging PRACH data of antennas, merging RACH data within the PRACH of an antenna, performing an FFT, performing a mother code relation processing, performing an IFFT and performing peak detection.

FIG.5is a diagram showing a processing apparatus of the embodiment. As shown inFIG.5, the apparatus is divided into two basic modules, that is, a hardware acceleration module and a software processing module, according to features of each step inFIG.4.

The hardware acceleration module successively completes configured parameter parsing, PRACH data reading, PRACH data merging between antennas and RACH data merging within a PRACH of an antenna. The software processing module successively completes the processing of an FFT, a frequency domain mother code relation, an IFFT and a peak detection function. The two modules exchange data through a shared cache.

In the embodiment, the data of the PRACH is written into a data memory in order in units of an OFDM symbol. Therefore, for the merging of the data of the PRACH, the data is also processed in units of an OFDM symbol time, and redundant data is not cached, so as to respond to processing of different PRACH formats in real time. The PRACH data merging processing is started every time a piece of OFDM data is received, and data of a next OFDM symbol may be antenna data of different PRACH formats and different cells.

FIG.6is a diagram showing single antenna data processing. As shown inFIG.6, a single antenna hardware acceleration module reads data received by a PRACH according to an OFDM symbol time, starts PRACH data merging processing through the software processing module, and then caches field data to wait for data of a next OFDM symbol.

FIG.7is a diagram showing multiple antenna data processing. As shown inFIG.7, in a case of multiple antennas, when PRACH data merging processing of the multiple antennas is performed during an OFDM symbol, it is required to perform data merging between antennas for PRACHs of different antennas, then perform RACH data merging within a PRACH of an antenna, cache field data to wait for PRACH data of a next OFDM symbol, and restore field data of a corresponding antenna for continuing processing. Finally, an accelerator outputs the result of data merging between antennas and the result of RACH data merging to a data cache for subsequent PRACH data processing by software.

Since the software processing module needs to complete the FFT/IFFT processing, data interleaving exists, so that the data of the OFDM symbol cannot be used as the processing unit, and the subsequent processing by software can be started after the hardware acceleration module completes the complete PRACH data processing of the antennas.

In the preceding embodiments of the present disclosure, compared with the related art, the data merging processing after the PRACH subjected to down conversion is more efficient than the PRACH merging processing completely by software, and can flexibly adapt to multiple PRACH formats compared with processing completely by hardware, so that power consumption is saved, resource consumption is reduced, processing time is reduced, and user perception is improved. At the same time, the parameter selection is handled by software control, so that the evolution of the 5G NR protocol can be flexibly adapted to, and thus the investment is protected.

The apparatus in the preceding embodiments is described below according to modules.

The apparatus of the embodiment supports multiple long code formats and short code formats of the 5G NP PRACH protocol.

As shown inFIG.5, each OFDM symbol generates a time interruption, at this time, a parameter parsing module obtains a task parameter of data processing of this time from a cache, and obtains a required PRACH format, a data merging mode, a data storage address and data volume of PRACH data in the current OFDM symbol from the task parameter.

An inter-antenna data merging module merges PRACH data of different antennas, that is, correspondingly adds respective PRACH data of multiple antennas. If only a single antenna exists or the software sets not to perform data merging between antennas, the data merging is not required. Supporting multiple antennas and different PRACH formats needs to protect merged data and restore field operations.

A RACH merging unit in the PRACH of the antenna correspondingly adds front and back RACH data within the PRACH of the present antenna. If multiple antennas exist, data merging between antennas may be performed for the multiple antennas, and then RACH data merging within the PRACH of the antenna is performed, since it is required to protect the field and restore the field operation. Therefore, protecting and restoring the field are the core of the apparatus to adapt to the evolution of the 5G protocol, providing a high degree of flexibility.

FIG.8is a schematic diagram showing the function of the software processing module. The software processing module performs subsequent processing on a complete preamble sequence, such as an FFT, a frequency domain mother code relation and an IFFT. The software processing module first reads output data of the hardware acceleration module to complete the FFT operation. The frequency domain signal generated by the FFT can directly extract a sequence of multiple frequencies according to spectral distribution, and the length of the sequence is n points (different protocols have different definitions). The FFT and the IFFT use one FFT core and can complete FFT/IFFT processing of 256 points, 320 points, 384 points, 512 points, 640 points, 768 points, 1024 points, 1280 points, 1536 points, 1920 points, 2048 points, 2304 points, 3072 points, 3584 points, 4096 points, 5120 points, 6144 points, 7168 points and 8192 points.

Then, local mother code generation is completed: a discrete Fourier transform (DFT) of a Zadoff-Chu sequence corresponding to each root sequence is generated according to an index of a parameter root sequence of a cell.

Sequence of different lengths such as 839 points or 139 points obtained by mother code relation processing are padded with 0 to obtain sequences of lengths of 1536 points or 256 points, and then the sequences are subjected to the IFFT to obtain the final output result. Finally, the peak detection function is completed.

The preceding embodiments of the present disclosure have technical effects described below.

1) PRACH data merging processing is performed according to an OFDM symbol time in time division to achieve PRACH data processing of the 5G NR in real time, thus improving the processing performance, reducing the processing latency, reducing the software processing time and improving the uplink access performance.

2) The maximum degree of flexibility can be maintained by setting the parameter flexibly to support the evolution of the 5G protocol. Strong extensibility is provided to support multiple different PRACH formats, and support different merging processing for different PRACHs.

3) According to specification requirements of different products, configured parameters may be used arbitrarily, and processing apparatuses may be increased to satisfy the specification requirements, providing a high extension capacity.

From the description of the preceding embodiments, it is to be understood by those skilled in the art that the method in the preceding embodiments may be implemented by software plus a necessary general-purpose hardware platform, or may be implemented by hardware. The present disclosure may be embodied in the form of a software product. The computer software product is stored in a storage medium (such as a read-only memory (ROM)/random-access memory (RAM), a magnetic disk or an optical disc) and includes several instructions for enabling a terminal device (which may be a mobile phone, a computer, a server, a network device or the like) to execute the method in the embodiments of the present disclosure.

An embodiment further provides an apparatus for physical random access channel data merging. The apparatus is used for implementing the preceding embodiments and optional implementations, What has been described will not be repeated. The term “module” or “unit” used below may be software, hardware or a combination thereof capable of implementing preset functions.

FIG.9is a structural diagram of an apparatus for physical random access channel data merging according to an embodiment of the present disclosure. The apparatus is different from the preceding apparatus in the division of module functions and includes a parsing module10, a reading module20, a merging module30and an output module40, as shown inFIG.9.

The parsing module10is configured to parse a task parameter of Current PRACH data merging.

The reading module20is configured to read to-be-merged PRAM data from an antenna PRACH data cache.

The merging module30is configured to perform PRACH data merging between multiple antennas and/or data merging within a PRACH of an antenna according to the task parameter

The output module40is configured to output merged PRACH data to a shared cache.

In an optional embodiment, the merging module30may further include a determination unit31, a first merging unit32, a second merging unit33and a caching and restoring unit34.

The determination unit31is configured to determine whether the PRACH data merging between the multiple antennas needs to be performed. The first merging unit32is configured to in response to the need to perform the PRACH data merging between the multiple antennas, merge PRACH data of the multiple antennas according to an OFDM symbol time in time division. The second merging unit33is configured to merge RACH data within a PRACH of an antenna. The caching and restoring unit34is configured to cache field data after PRACH data processing during a current OFDM symbol time, and restore field data of a corresponding antenna for continuing processing after PRACH data of a next OFDM symbol time arrives.

In an optional embodiment, the apparatus may further include a configuration module50and a software processing module60.

The configuration module50is configured to configure the task parameter of the current PRACH data merging. The software processing module60is configured to complete processing of an FFT, a frequency domain mother code relation, an IFFT and peak detection on a merged preamble sequence.

The preceding various modules may be implemented by software or hardware. Implementation by hardware may, but may not necessarily, be performed in the following manners: the preceding various modules are located in the same processor or located in different processors in any combination form.

An embodiment of the present disclosure further provides a storage medium. The storage medium stores a computer program. The computer program is configured to, when executed, perform steps in any one of the preceding method embodiments.

Optionally, in the embodiment, the preceding storage medium may include, but is not limited to, a USB flash drive, a read-only memory (ROM), a random-access memory (RAM), a mobile hard disk, a magnetic disk, an optical disc or another medium capable of storing a computer program.

An embodiment of the present disclosure further provides an electronic apparatus. The electronic apparatus includes a memory and a processor. The memory stores a computer program. The processor is configured to execute the computer program to perform the steps in any one of the preceding method embodiments.

Those skilled in the art should understand that the preceding various modules or steps of the present disclosure may be implemented by a general-purpose computing apparatus, and the various modules or steps may be concentrated on a single computing apparatus or distributed on a network composed of multiple computing apparatuses. Optionally, the various modules or steps may be implemented by program codes executable by the computing apparatus, and the various modules or steps may be stored in a storage apparatus for execution by the computing apparatus. In some cases, the illustrated or described steps may be performed in a different order from those described herein, or the various modules or steps may be made into various integrated circuit modules separately, or multiple modules or steps therein may be made into a single integrated circuit module for implementation. The present disclosure is not limited to any specific combination of hardware and software.