CN114696972A - PRACH detection method, high-layer physical layer module, device and equipment - Google Patents
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Abstract
The present disclosure is applicable to the field of communication technologies, and provides a PRACH detection method, a higher physical layer module, an apparatus and a device, where the lower physical layer module only needs to simply divide a first time domain data sequence into a plurality of first time domain divided data, performing time-frequency conversion on each first time domain segmentation data to obtain corresponding first frequency domain segmentation data, and transmitting each first frequency domain division data to a higher-level physical layer module, wherein the higher-level physical layer module acquires the frequency domain data of the PRACH according to each first frequency domain division data and the frequency domain position of the PRACH, in the process of PRACH detection, the bottom physical layer module only needs to carry out conventional processing such as segmentation, time-frequency conversion and the like on data, and the data for detecting the PRACH is moved to a higher-layer physical layer module with higher processing capacity for processing, so that the complexity of processing the PRACH data by the bottom-layer physical layer module and the higher-layer physical layer module is reduced.
Description
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a PRACH detection method, a higher physical layer module, an apparatus, and a device.
Background
There are many differences between the 5th generation Mobile communication technology (5G) and the conventional Mobile communication technology, for example, the subcarrier spacing of the Physical Random Access Channel (PRACH) in the conventional Mobile communication technology is usually a fixed value, and the PRACH subcarrier spacing in the 5G is different values, and usually includes 1.25kHz and 5 kHz. Therefore, in 5G, the duration of the PRACH data in the time domain is different from the duration of other channel data, and when transmitting the PRACH data, the data must be transmitted according to the preamble time domain duration characteristic.
In some scenarios, for example, in a 5G uplink scenario of a small cell, a physical layer is generally divided into two modules, a lower physical layer Low-Phy and an upper physical layer High-Phy, to process data, when PRACH data needs to be processed, since the length of the PRACH data is different from that of other channels, the PRACH data generally needs to be specially processed, the Low-Phy module needs to identify a PRACH channel before a corresponding data processing method is adopted, and a special transmission line is needed to transmit the PRACH data between the two modules, i.e., the Low-Phy and the High-Phy.
Disclosure of Invention
In the traditional method, the process of processing PRACH data by the Low-Phy module is complex, and the complexity of data transmission between the Low-Phy module and the High-Phy module is High.
The disclosure provides a PRACH detection method, a High-level physical layer module, a device and equipment, which can reduce the complexity of processing PRACH data by a Low-Phy module in the traditional method and can reduce the complexity of data transmission between the Low-Phy module and a High-Phy module.
In a first aspect, an embodiment of the present disclosure provides a PRACH detection method, where the method includes:
the method comprises the steps that a first time domain data sequence is divided into a plurality of first time domain division data through a bottom physical layer module, time-frequency conversion is carried out on each first time domain division data to obtain corresponding first frequency domain division data, and each first frequency domain division data is transmitted to a high physical layer module;
and acquiring the frequency domain data of the PRACH according to the first frequency domain division data and the frequency domain position of the PRACH through a high-level physical layer module.
In one embodiment, the obtaining, by the higher physical layer module, the frequency domain data of the PRACH according to the first frequency domain partition data and the frequency domain position of the PRACH includes:
respectively selecting data on the frequency domain position of the PRACH from the first frequency domain division data through a high-level physical layer module to serve as corresponding second frequency domain division data;
and determining the frequency domain data of the PRACH according to the second frequency domain division data.
In one embodiment, the determining frequency domain data of the PRACH according to each second frequency domain division data includes:
performing inverse discrete Fourier transform on each second frequency domain division data to obtain corresponding second time domain division data;
zero padding is carried out on the tail part of each second time domain segmentation data to obtain a corresponding second time domain data sequence; the length of the second time domain data sequence is the same as that of the first time domain data sequence;
respectively carrying out discrete Fourier transform on each second time domain data sequence to obtain corresponding third frequency domain segmentation data;
and acquiring frequency domain data of the PRACH according to the third frequency domain division data.
In one embodiment, the obtaining frequency domain data of the PRACH according to each third frequency domain division data includes:
respectively selecting Z data from each third frequency domain division data as corresponding frequency domain data to be merged;
x is the number of sampling points of the first time domain data sequence, and Y is the number of time domain symbols occupied by the first time domain data sequence;
and performing discrete Fourier transform on each frequency domain data to be merged to obtain the frequency domain data of the PRACH.
In one embodiment, the selecting Z data from each third frequency domain division data as corresponding frequency domain data to be merged includes:
and respectively taking the first Z data in each third frequency domain division data as corresponding frequency domain data to be merged.
In one embodiment, the dividing, by the underlying physical layer module, the time-domain data sequence into a plurality of first time-domain divided data includes:
and the time domain data sequence is segmented according to the time domain symbol boundary through a bottom physical layer module to obtain a plurality of time domain segmentation data.
In a second aspect, an embodiment of the present disclosure provides a higher-layer physical layer module, where the higher-layer physical layer module is configured to receive first frequency domain division data sent by a lower-layer physical layer module; acquiring frequency domain data of the PRACH according to the first frequency domain division data and the frequency domain position of the PRACH; the first frequency domain division data is obtained by dividing a first time domain data sequence into a plurality of first time domain division data by a bottom physical layer module and performing time-frequency conversion on each first time domain division data.
In a third aspect, an embodiment of the present disclosure provides an apparatus for detecting a PRACH, where the apparatus includes:
the method comprises the steps that a first time domain data sequence is divided into a plurality of first time domain division data through a bottom physical layer module, time-frequency conversion is carried out on each first time domain division data to obtain corresponding first frequency domain division data, and each first frequency domain division data is transmitted to a high physical layer module;
and acquiring the frequency domain data of the PRACH according to the first frequency domain division data and the frequency domain position of the PRACH through a high-level physical layer module.
In a fourth aspect, an embodiment of the present disclosure provides a network device, including a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the method according to the first aspect when executing the computer program.
In a fifth aspect, the disclosed embodiments provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the method according to the first aspect.
In the PRACH detection method, the PRACH detection device, the high-level physical layer module, the equipment and the storage medium, the bottom-level physical layer module only needs to simply divide the first time domain data sequence into a plurality of first time domain division data, performing time-frequency conversion on each first time domain segmentation data to obtain corresponding first frequency domain segmentation data, and transmitting each first frequency domain division data to a higher-level physical layer module, wherein the higher-level physical layer module acquires the frequency domain data of the PRACH according to each first frequency domain division data and the frequency domain position of the PRACH, in the process of detecting the PRACH, the bottom layer physical layer module only needs to carry out conventional processing such as segmentation, time-frequency conversion and the like on data without detecting whether the PRACH data exists in the first time domain data sequence, and the data for detecting the PRACH is moved to a higher-layer physical layer module with higher processing capacity for processing, so that the complexity of processing the data by the bottom-layer physical layer module is reduced. Meanwhile, the situation that the PRACH data needs to be transmitted to the high-layer physical layer module by the bottom-layer physical layer module through a special transmission line is avoided, and the complexity of data transmission between the bottom-layer physical layer module and the high-layer physical layer module is further reduced.
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In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic diagram of an application environment of a PRACH detection method in an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of a PRACH detection method in an embodiment of the present disclosure;
fig. 3 is a schematic flow chart of a PRACH detection method according to another embodiment of the present disclosure;
fig. 4 is a schematic flow chart of a PRACH detection method according to another embodiment of the present disclosure;
fig. 5 is a schematic flow chart of a PRACH detection method according to another embodiment of the present disclosure;
FIG. 6 is a schematic diagram illustrating conversion of time domain data and frequency domain data according to an embodiment of the present disclosure;
FIG. 7 is a block diagram of a higher-level physical layer module provided in an embodiment of the present disclosure;
fig. 8 is a schematic structural diagram of a PRACH detection apparatus provided in an embodiment of the present disclosure;
fig. 9 is a schematic structural diagram of a PRACH detection apparatus according to another embodiment of the present disclosure;
fig. 10 is an internal structural diagram of a network device in one embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present disclosure more clearly understood, the present disclosure is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the disclosure and are not intended to limit the disclosure.
It will be understood that the terms "first," "second," and the like, as used in this disclosure, may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another.
The PRACH detection method provided by this embodiment may be applied to the application environment shown in fig. 1. Wherein, the terminal device 104 is connected to the network device 102 in communication. The terminal device 104 may be a device that provides voice and/or other traffic data connectivity to a user, a handheld device with wireless connectivity, or other processing device connected to a wireless modem. Terminal devices 104 may communicate with one or more core networks via a Radio Access Network (RAN), and terminal devices 104 may be mobile terminals such as mobile telephones (or "cellular" telephones) and computers with mobile terminals, such as portable, pocket, hand-held, computer-included, or vehicle-mounted mobile devices, that exchange language and/or data with the RAN. Examples of such devices include Personal Communication Service (PCS) phones, cordless phones, Session Initiation Protocol (SIP) phones, Wireless Local Loop (WLL) stations, and Personal Digital Assistants (PDAs). The Terminal Device 104 may also be referred to as a system, a Subscriber Unit (Subscriber Unit), a Subscriber Station (Subscriber Station), a Mobile Station (Mobile), a Remote Station (Remote Station), a Remote Terminal (Remote Terminal), an Access Terminal (Access Terminal), a User Agent (User Agent), and a User Device (User Device or User Equipment), but is not limited thereto. The network device 102 may be a Base Transceiver Station (BTS) in Global System for Mobile communications (GSM) or Code Division Multiple Access (CDMA), a Base Station (NodeB, NB) in Wideband Code Division Multiple Access (WCDMA), an evolved Node B (eNB, eNodeB) in LTE, a relay Station or Access point, or a Base Station in a 5G network, and the like, which is not limited herein.
Generally, when accessing the network device 102, the terminal device 104 performs Data transmission through a Protocol architecture in which a Physical Layer (PHY), a Media Access Control (MAC), a Radio Link Control (RLC), a Packet Data Convergence Protocol (PDCP), and a GPRS Tunneling Protocol (GTP) jointly form a network transmission. In practical applications, the terminal device sends a preamble sequence for attempting to access the network and establishes a basic signaling connection with the network, which is called random access. At this time, the resource carrying the preamble sequence is a PARCH resource, where data carried by the PARCH resource in the time domain is time domain data of the PRACH, and data carried by the PARCH resource in the frequency domain is frequency domain data of the PRACH. The network device typically detects, by means of the physical layer module, whether a preamble sequence for random access is included in the data to be processed. In some scenarios, the physical layer module is divided into a High-level physical layer High-Phy module (not shown in the figure) and a Low-level physical layer module (not shown in the figure), and the High-Phy module is connected with the Low-Phy module through a forwarding interface. The High-Phy module is a software entity without direct strong correlation with Digital Signal Processing (DSP), and is generally used for Processing, including channel encoding/decoding, modulation/demodulation, layer mapping, Resource Element (RE) mapping, channel estimation, and the like; the Low-Phy module is a software entity with strong correlation with the DSP; typically used to handle Fast Fourier Transform (FFT), Cyclic Prefix (CP) addition/removal, precoding, beamforming, etc. In general, the High-Phy module has a higher processing power than the Low-Phy module.
To make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some, but not all embodiments of the present disclosure.
It should be noted that the execution subject of the following method embodiments may also be a PRACH detection apparatus, and the apparatus may be implemented by software, hardware, or a combination of software and hardware to become part or all of the above network devices. The following method embodiments take the execution subject as an example of a network device.
Fig. 2 is a schematic flow chart of PRACH detection according to an embodiment of the present disclosure. The embodiment relates to how to simplify the data processing process of a Low-Phy module during PRACH detection. As shown in fig. 2, the method comprises the steps of:
s101, a first time domain data sequence is divided into a plurality of first time domain division data through a bottom physical layer module, time-frequency conversion is carried out on each first time domain division data to obtain corresponding first frequency domain division data, and each first frequency domain division data is transmitted to a high physical layer module.
The first time domain data sequence may be any data carried on the time domain resource, which may be a preamble sequence carrying the PRACH on the time domain resource, or may be common data carried on the time domain resource, which is not limited in this disclosure. In the framework of some network devices, for example, in the framework of an integrated small cell, an O-RAN split architecture is usually adopted, and the O-RAN split architecture usually divides a physical layer into a High-Phy module and a Low-Phy module. The first time domain segmentation data is data directly obtained by segmenting the first time domain data sequence by the Low-Phy module. The first frequency domain division data is corresponding frequency domain data obtained by performing time-frequency conversion on each first time domain division data.
When the Low-Phy module receives the first time domain data sequence, different from the conventional method, the Low-Phy module does not need to detect whether the first time domain data sequence includes PRACH data, but directly divides the first time domain data sequence to obtain a plurality of first time domain data sequences. In a specific time domain data sequence division, optionally, in an implementation, the first time domain data sequence may be equally divided into a plurality of first time domain division data. Since the first time domain division data is obtained by dividing the first time domain data sequence, the first time domain division data is usually included as a plurality of first time domain division data. Correspondingly, the first time domain division data obtained by performing time-frequency conversion on each first time domain division data is usually a plurality of first frequency domain division data, and a one-to-one correspondence relationship exists between each first frequency domain division data and each first time domain division number. Wherein the time-frequency transformation may be a discrete fourier transform.
After the time-frequency conversion is respectively carried out on each first time domain segmentation data to obtain corresponding first frequency domain segmentation data, the Low-Phy module can directly transmit the first frequency domain segmentation data to the High-Phy module. The Low-Phy module may transmit one first frequency domain division data to the High-Phy module at a time, or may transmit a plurality of first frequency domain division data to the High-Phy module at a time. For example, the Low-Phy module may transmit all the first frequency domain segmentation data subjected to time-frequency conversion within 1ms to the High-Phy module every 1ms, or immediately transmit the first frequency domain segmentation data to the High-Phy module when the first frequency domain segmentation data is obtained after the time-frequency conversion. In the traditional method, the PRACH data transmitted between the Low-Phy module and the High-Phy module needs a special channel, but in the embodiment of the disclosure, the first frequency domain segmentation data transmitted between the Low-Phy module and the High-Phy module is transmitted through a common transmission channel, so that the complexity of data transmission is reduced.
And S102, acquiring frequency domain data of the PRACH according to the first frequency domain division data and the frequency domain position of the PRACH through a high-level physical layer module.
The frequency domain position of the PRACH may refer to a frequency domain resource used for carrying a preamble sequence of the PRACH, for example, the frequency domain position of the PRACH may refer to a subcarrier frequency point used for carrying the preamble sequence of the PRACH, or may refer to a frequency band used for carrying the preamble sequence of the PRACH, and the frequency band includes frequency points of a plurality of subcarriers, which is not limited in this disclosure. The frequency domain data of the PRACH may refer to data carried in a frequency domain position of the PRACH. The high-level physical layer module can obtain the frequency domain position of the PRACH by receiving the high-level signaling carrying the frequency domain resource information of the preamble sequence bearing the PRACH and analyzing the high-level signaling. The high-level physical layer module can receive a high-level signaling in advance, prestore frequency domain position information of the PRACH in the high-level signaling in the high-level physical layer module, and call the frequency domain position information of the PRACH stored in the high-level physical layer module to obtain the frequency domain position of the PRACH when the frequency domain data of the PRACH is required to be acquired according to the first frequency domain segmentation data and the frequency domain position of the PRACH; or when receiving the first frequency domain division data sent by the bottom physical layer module, requesting the high layer to acquire the high layer signaling carrying the frequency domain resource information of the preamble sequence carrying the PRACH, and acquiring the frequency domain position of the PRACH by analyzing the high layer signaling.
After receiving the first frequency domain segmentation data transmitted by the Low-Phy module and at intervals of a preset time length, the High-Phy module acquires the frequency domain data of the PRACH according to all the received first frequency domain segmentation data and the frequency domain position of the PRACH within the time length. For example, the High-Phy module may acquire the frequency domain data of the PRACH according to the 14 first frequency domain division data received within 10ms and the frequency domain position of the PRACH.
According to the PRACH detection method, the bottom physical layer module only needs to simply divide the first time domain data sequence into a plurality of first time domain division data, time-frequency conversion is carried out on each first time domain division data to obtain corresponding first frequency domain division data, each first frequency domain division data is transmitted to the upper physical layer module, and at the moment, the upper physical layer module obtains the frequency domain data of the PRACH according to each first frequency domain division data and the frequency domain position of the PRACH, so that in the process of PRACH detection, the bottom physical layer module does not need to detect whether the PRACH data exists in the first time domain data sequence, only needs to carry out conventional processing such as division, time-frequency conversion and the like on the data, and moves the data of the PRACH to the upper physical layer module with higher processing capacity for processing, and complexity of the bottom physical layer module in processing the data is reduced. Meanwhile, the PRACH detection method also avoids the condition that the bottom physical layer module needs to transmit PRACH data to the high-layer physical layer module through a special transmission line, thereby reducing the complexity of data transmission between the bottom physical layer module and the high-layer physical layer module.
Fig. 3 is a schematic flow chart of a PRACH detection method in another embodiment of the present disclosure, and this embodiment relates to a specific process of how a higher-layer physical layer module acquires frequency domain data of a PRACH according to each first frequency domain division data and a frequency domain position of the PRACH. As shown in fig. 3, in S102, "acquiring, by the higher physical layer module, frequency domain data of the PRACH according to the first frequency domain partition data and the frequency domain position of the PRACH" a possible implementation method includes:
s201, selecting, by the higher physical layer module, data at a frequency domain position of the PRACH from each first frequency domain division data, as corresponding second frequency domain division data.
The second frequency-domain data is a portion of data selected from the first frequency-domain data, that is, the length of the second frequency-domain data is usually not longer than the first frequency-domain data. The High-Phy module may obtain a specific frequency domain location of the PRACH from the higher layer signaling. After the frequency domain position of the PRACH is obtained, the corresponding second frequency domain division data is obtained by selecting the data carried on the frequency domain position of the PRACH in the first frequency domain division data. For example, if the High-Phy module determines that the frequency domain position of the PRACH is a frequency point of 72 subcarriers, the data carried at the frequency point of the 72 subcarriers in each piece of first frequency domain division data may be used as second frequency domain division data corresponding to each piece of first frequency domain division data. It should be noted that the frequency domain positions of the PRACH corresponding to each first frequency domain division data may be the same or different, and this is not limited in this disclosure.
And S202, determining frequency domain data of the PRACH according to the second frequency domain division data.
After determining each second frequency-domain division data, the frequency-domain data of the PRACH may be determined from each second frequency-domain division data. The frequency domain data of the PRACH may be obtained by directly combining the second frequency domain division data through discrete fourier transform, or may be obtained by preprocessing the second frequency domain division data, and obtaining the frequency domain data of the PRACH according to the preprocessed data.
According to the PRACH detection method, the data on the frequency domain position of the PRACH are respectively selected from the first frequency domain division data through the high-level physical layer module to serve as the corresponding second frequency domain division data, and the frequency domain data of the PRACH are determined according to the second frequency domain division data, so that the high-level physical layer template can only be performed aiming at part of the data in the first frequency domain division data in the process of determining the frequency domain data of the PRACH, the data amount of the high-level physical layer template required to be processed in the process of determining the frequency domain data of the PRACH is reduced, and the efficiency of determining the frequency domain data of the PRACH is improved.
In one possible case, the frequency domain data of the PRACH may be determined by the embodiment shown in fig. 4. Fig. 4 is a schematic flow chart of a PRACH detection method in another embodiment of the present disclosure, and this embodiment relates to a specific process of how to determine the frequency domain number of the PRACH according to each second frequency domain division data. As shown in fig. 4, one possible implementation method of S202 "determining the frequency domain number of the PRACH according to each second frequency domain division data" includes:
s301, Inverse Discrete Fourier Transform (IDFT) is performed on each second frequency-domain divided data to obtain corresponding second time-domain divided data.
S302, zero padding is carried out on the tail portion of each second time domain segmentation data to obtain a corresponding second time domain data sequence; the length of the second time domain data sequence is the same as the length of the first time domain data sequence.
The second time domain division data is obtained by performing inverse discrete fourier transform on each second frequency domain division data, and the second frequency domain division data is obtained by selecting data at a frequency domain position of the PRACH from the first frequency domain division data, the first frequency domain division data is obtained by performing time-frequency conversion on the first time domain division data, and the first time domain division data is obtained by dividing the first time domain data sequence, that is, the length of the second time domain division data is usually smaller than that of the first time domain data sequence. Based on this, zero padding is performed on the tail portion of each second time domain division data, so that the length of the second time domain division data after zero padding is the same as the length of the first time domain data sequence, and the second time domain division data after zero padding is the second time domain data sequence.
S303, performing Discrete Fourier Transform (DFT) on each second time domain data sequence to obtain corresponding third frequency domain division data.
And S304, acquiring frequency domain data of the PRACH according to the third frequency domain division data.
And performing DFT on each second time domain data sequence to obtain third frequency domain division data respectively corresponding to each second time domain data sequence, and at this time, combining the third frequency domain division data to obtain frequency domain data of the PRACH. The frequency domain data of the PRACH may be acquired, for example, by the embodiment shown in fig. 5.
Fig. 5 is a schematic flow chart of a PRACH detection method in another embodiment of the present disclosure, and this embodiment relates to a specific process of how to obtain frequency domain data of a PRACH according to third frequency domain partition data, and as shown in fig. 5, one possible implementation method of the S304 "obtaining frequency domain data of a PRACH according to third frequency domain partition data" includes:
s401, respectively selecting Z data from each third frequency domain division data as corresponding frequency domain data to be merged;
x is the number of sampling points of the first time domain data sequence, and Y is the number of time domain symbols occupied by the first time domain data sequence.
Respectively selecting Z data from each third frequency domain division data as corresponding frequency domain data to be merged, wherein X is a first time domain data sequenceY is the number of time domain symbols occupied by the first time domain data sequence. After Z data are respectively selected from each third frequency domain division data as the frequency domain data to be merged, because
The length of the frequency domain data of the PRACH obtained by combining the frequency domain data to be combined is the same as the length of the first time domain data sequence.
Optionally, the first Z data in each third frequency domain division data are respectively used as corresponding frequency domain data to be merged. Because the third frequency domain division data are obtained by respectively performing DFT on the second time domain data sequence, if the first Z data in each third frequency domain division data are respectively used as corresponding frequency domain data to be merged, the DFT can be stopped after the Z data are obtained by performing DFT, and the total time for obtaining the frequency domain data of the PRACH is reduced.
S402, performing DFT on each frequency domain data to be combined to obtain the frequency domain data of the PRACH.
And after the frequency domain data to be combined corresponding to each third frequency domain division data is obtained, performing DFT on each frequency domain data to be combined to obtain the frequency domain data of the PRACH. For example, as shown in fig. 6, after n third frequency domain division data are obtained, Z data may be selected from each third frequency domain division data as corresponding frequency domain data to be merged, that is, n frequency domain data to be merged are obtained, and the frequency domain data of the PRACH may be obtained by performing DFT on the n frequency domain data to be merged.
In one embodiment, if the length of the first time domain data sequence p of the PRACH is M, it is transmitted over N symbols. By segmenting the first time domain data sequence, it is possible to obtain:
wherein p is(s)(i) For the second time-domain partitioned data of the s-th segment,
to be p(s)(i) And (3) zero padding the tail part of the first time domain data sequence to obtain a second time domain data sequence. M is the length of the first time domain data sequence p. P (k) is frequency domain data of the PRACH, p (i) is a first time domain data sequence, and k is a k-th subcarrier index of the frequency domain data.
As can be seen from the above formula (1), after zero padding is performed on each segment of the N segments of the second time domain data sequences, a result obtained by performing DFT alone is combined by performing DFT once, which is equivalent to a result obtained by performing DFT on one time domain data sequence. That is, with the above method, it is equivalent to directly perform DFT on the first time domain data sequence to obtain frequency domain data of the PRACH.
On the basis of the foregoing embodiment, optionally, in the foregoing S101, "the time-domain data sequence is divided into a plurality of first time-domain division data by the bottom physical layer module", a possible implementation method includes: and segmenting the first time domain data sequence according to the time domain symbol boundary by the bottom layer physical layer module to obtain a plurality of first time domain segmentation data. For example, 4 symbols included in the first time domain data sequence, the Low-Phy module divides the first time domain data sequence into 4 first time domain divided data according to the time domain symbol boundary.
It should be understood that, although the respective steps in the flowcharts in the above-described embodiments are sequentially shown as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in the flowchart may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
Fig. 7 is a schematic structural diagram of an upper physical layer module according to an embodiment of the present disclosure, and as shown in fig. 7, the upper physical layer module 20 is configured to receive first frequency domain division data sent by a lower physical layer module; acquiring frequency domain data of the PRACH according to the first frequency domain division data and the frequency domain position of the PRACH; the first frequency domain division data is obtained by dividing a first time domain data sequence into a plurality of first time domain division data by a bottom physical layer module and performing time-frequency conversion on each first time domain division data.
In one embodiment, the higher physical layer module 20 includes: a selecting unit 201, a determining unit 202, wherein,
a selecting unit 201, configured to select data at a frequency domain position of the PRACH from each first frequency domain division data, as corresponding second frequency domain division data;
a determining unit 202, configured to determine frequency domain data of the PRACH according to each second frequency domain division data.
In an embodiment, the determining unit 202 is specifically configured to perform inverse discrete fourier transform on each second frequency domain division data to obtain corresponding second time domain division data; zero padding is carried out on the tail part of each second time domain segmentation data to obtain a corresponding second time domain data sequence; the length of the second time domain data sequence is the same as that of the first time domain data sequence; respectively carrying out discrete Fourier transform on each second time domain data sequence to obtain corresponding third frequency domain segmentation data; and acquiring frequency domain data of the PRACH according to the third frequency domain division data.
In an embodiment, the determining unit 202 is specifically configured to select Z data from each third frequency domain division data as corresponding frequency domain data to be merged;
x is the number of sampling points of the first time domain data sequence, and Y is the number of time domain symbols occupied by the first time domain data sequence; and performing DFT on each frequency domain data to be combined to obtain the frequency domain data of the PRACH.
In an embodiment, the determining unit 202 is specifically configured to take the first Z data in each third frequency domain division data as corresponding frequency domain data to be merged.
In one embodiment, the first frequency domain segmentation data is obtained by a bottom physical layer module segmenting the first time domain data sequence according to a time domain symbol boundary to obtain a plurality of first time domain segmentation data, and performing time-frequency conversion on each first time domain segmentation data.
The high-level physical layer module provided in the embodiments of the present disclosure may implement the above method embodiments, and the implementation principle and technical effect are similar, which are not described herein again.
For a specific limitation of the higher physical layer module, reference may be made to the above definition of the PRACH detection method, which is not described herein again. The various elements of the higher physical layer module described above may be implemented in whole or in part by software, hardware, and combinations thereof. The units can be embedded in a hardware form or independent from a processor in a higher physical layer module entity, and can also be stored in a memory in the higher physical layer module entity in a software form, so that the processor can call and execute the corresponding operations of the units.
Fig. 8 is a schematic structural diagram of a PRACH detection apparatus in an embodiment of the present disclosure, as shown in fig. 8, including: a lower physical layer module 10 and a higher physical layer module 20, wherein,
the bottom physical layer module 10 is configured to divide the first time domain data sequence into a plurality of first time domain division data, perform time-frequency conversion on each first time domain division data to obtain corresponding first frequency domain division data, and transmit each first frequency domain division data to the high physical layer module;
and the higher physical layer module 20 is configured to obtain the frequency domain data of the PRACH according to each first frequency domain division data and the frequency domain position of the PRACH.
The PRACH detection apparatus provided in the embodiment of the present disclosure may implement the foregoing method embodiments, and its implementation principle and technical effect are similar, which are not described herein again.
Fig. 9 is a schematic structural diagram of a PRACH detection apparatus according to another embodiment of the present disclosure, and based on the PRACH detection apparatus shown in fig. 8, as shown in fig. 9, the higher physical layer module 20 includes: a selecting unit 201, a determining unit 202, wherein,
a selecting unit 201, configured to select data at a frequency domain position of the PRACH from each first frequency domain division data, as corresponding second frequency domain division data;
a determining unit 202, configured to determine frequency domain data of the PRACH according to each second frequency domain division data.
In an embodiment, the determining unit 202 is specifically configured to perform inverse discrete fourier transform on each second frequency domain division data to obtain corresponding second time domain division data; zero padding is carried out on the tail part of each second time domain segmentation data to obtain a corresponding second time domain data sequence; the length of the second time domain data sequence is the same as that of the first time domain data sequence; respectively carrying out discrete Fourier transform on each second time domain data sequence to obtain corresponding third frequency domain segmentation data; and acquiring frequency domain data of the PRACH according to the third frequency domain division data.
In an embodiment, the determining unit 202 is specifically configured to select Z data from each third frequency domain divided data as corresponding frequency domain data to be merged;
x is the number of sampling points of the first time domain data sequence, and Y is the number of time domain symbols occupied by the first time domain data sequence; and performing DFT on each frequency domain data to be combined to obtain the frequency domain data of the PRACH.
In an embodiment, the determining unit 202 is specifically configured to take the first Z data in each third frequency domain division data as corresponding frequency domain data to be merged.
In an embodiment, the bottom physical layer module 10 is specifically configured to segment the first time domain data sequence by the bottom physical layer module according to the time domain symbol boundary, so as to obtain a plurality of first time domain segmented data.
The PRACH detection apparatus provided in the embodiment of the present disclosure may implement the foregoing method embodiments, and its implementation principle and technical effect are similar, which are not described herein again.
For a specific limitation of the PRACH detection apparatus, reference may be made to the above-mentioned limitation of the PRACH detection method, and details are not described here. All or part of the modules in the PRACH detection apparatus may be implemented by software, hardware, or a combination thereof. The modules can be embedded in a hardware form or independent of a processor in the network device, or can be stored in a memory in the network device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a network device is provided, the internal structure of which may be as shown in fig. 10. The network device includes a processor, a memory, a network interface, and an input device connected by a system bus. Wherein the processor of the network device is configured to provide computing and control capabilities. The memory of the network device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the network device is used for communicating with an external terminal through network connection. The computer program is executed by a processor to implement a PRACH detection method.
Those skilled in the art will appreciate that the architecture shown in fig. 10 is merely a block diagram of some of the architectures associated with the disclosed subject matter, and does not constitute a limitation on the network devices to which the disclosed subject matter may be applied, and that a particular network device may include more or less components than those shown, or combine certain components, or have a different arrangement of components.
It should be clear that the process of executing the computer program by the processor in the embodiments of the present disclosure is consistent with the process of executing the steps in the above method, and specific reference may be made to the description above.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the PRACH detection method provided by the above-mentioned method embodiments of the present disclosure may be implemented.
It should be clear that the process of executing the computer program by the processor in the embodiments of the present disclosure is consistent with the process of executing the steps in the above method, and specific reference may be made to the description above.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided by the present disclosure may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present disclosure, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that various changes and modifications can be made by one skilled in the art without departing from the spirit of the disclosure, and these changes and modifications are all within the scope of the disclosure. Therefore, the protection scope of the present disclosure should be subject to the appended claims.
Claims (15)
1. A method for detecting a Physical Random Access Channel (PRACH) is characterized by comprising the following steps:
dividing a first time domain data sequence into a plurality of first time domain division data through a bottom physical layer module, respectively performing time-frequency conversion on each first time domain division data to obtain corresponding first frequency domain division data, and transmitting each first frequency domain division data to a high physical layer module;
and acquiring the frequency domain data of the PRACH according to the first frequency domain division data and the frequency domain position of the PRACH by the high-layer physical layer module.
2. The method of claim 1, wherein the obtaining, by the higher-layer physical layer module, the frequency domain data of the PRACH from the first frequency domain partition data and the frequency domain location of the PRACH comprises:
respectively selecting data on the frequency domain position of the PRACH from the first frequency domain division data as corresponding second frequency domain division data through the high-layer physical layer module;
and determining the frequency domain data of the PRACH according to the second frequency domain division data.
3. The method of claim 2, wherein the determining the frequency domain data for the PRACH from each of the second frequency domain split data comprises:
performing inverse discrete Fourier transform on each second frequency domain division data to obtain corresponding second time domain division data;
zero padding is carried out on the tail part of each second time domain segmentation data to obtain a corresponding second time domain data sequence; the length of the second time domain data sequence is the same as that of the first time domain data sequence;
respectively carrying out discrete Fourier transform on each second time domain data sequence to obtain corresponding third frequency domain segmentation data;
and acquiring the frequency domain data of the PRACH according to the third frequency domain division data.
4. The method of claim 3, wherein the obtaining the frequency domain data of the PRACH according to each of the third frequency domain division data comprises:
respectively selecting Z data from each third frequency domain division data as corresponding frequency domain data to be merged;
the X is the number of sampling points of the first time domain data sequence, and the Y is the number of time domain symbols occupied by the first time domain data sequence;
and performing the discrete Fourier transform on each frequency domain data to be merged to obtain the frequency domain data of the PRACH.
5. The method of claim 4, wherein the selecting Z data from each of the third frequency domain division data as corresponding frequency domain data to be merged comprises:
and respectively taking the first Z data in the third frequency domain division data as corresponding frequency domain data to be merged.
6. The method according to any one of claims 1-5, wherein the partitioning the time domain data sequence into a plurality of first time domain partitioned data by the underlying physical layer module comprises:
and segmenting the first time domain data sequence according to the time domain symbol boundary by the bottom layer physical layer module to obtain a plurality of first time domain segmentation data.
7. The high-layer physical layer module is characterized in that the high-layer physical layer module is used for receiving first frequency domain division data sent by a bottom-layer physical layer module; acquiring frequency domain data of the PRACH according to the first frequency domain division data and the frequency domain position of the PRACH; the first frequency domain segmentation data is obtained by the bottom physical layer module segmenting a first time domain data sequence into a plurality of first time domain segmentation data and performing time-frequency conversion on each first time domain segmentation data.
8. The higher layer physical layer module of claim 7, wherein the higher layer physical layer module comprises:
a selecting unit, configured to select data in the frequency domain position of the PRACH from each of the first frequency domain division data, as corresponding second frequency domain division data;
and a determining unit, configured to determine frequency domain data of the PRACH according to each of the second frequency domain division data.
9. The higher-layer physical layer module of claim 8,
the determining unit is specifically configured to perform inverse discrete fourier transform on each of the second frequency domain divided data to obtain corresponding second time domain divided data; zero padding is carried out on the tail part of each second time domain segmentation data to obtain a corresponding second time domain data sequence; the length of the second time domain data sequence is the same as that of the first time domain data sequence; respectively carrying out discrete Fourier transform on each second time domain data sequence to obtain corresponding third frequency domain segmentation data; and acquiring the frequency domain data of the PRACH according to the third frequency domain division data.
10. The higher-layer physical layer module of claim 9,
the determining unit is specifically configured to select Z data from each of the third frequency domain divided data as corresponding frequency domain data to be merged;
the X is the number of sampling points of the first time domain data sequence, and the Y is the number of time domain symbols occupied by the first time domain data sequence; and performing the discrete Fourier transform on each frequency domain data to be merged to obtain the frequency domain data of the PRACH.
11. The higher-layer physical layer module of claim 10,
the determining unit is specifically configured to take the first Z data in each third frequency domain division data as corresponding frequency domain data to be merged.
12. The higher-layer physical layer module of claim 10,
the first frequency domain partition data is specifically obtained by the bottom physical layer module partitioning the first time domain data sequence according to a time domain symbol boundary to obtain the plurality of first time domain partition data, and performing time-frequency conversion on each of the first time domain partition data.
13. A Physical Random Access Channel (PRACH) detection device is characterized by comprising:
the bottom physical layer module is used for dividing a first time domain data sequence into a plurality of first time domain division data, respectively performing time-frequency conversion on each first time domain division data to obtain corresponding first frequency domain division data, and transmitting each first frequency domain division data to the high physical layer module;
and the high-level physical layer module is used for acquiring the frequency domain data of the PRACH according to the first frequency domain division data and the frequency domain position of the PRACH.
14. A network device comprising a memory storing a computer program and a processor implementing the method of any one of claims 1 to 6 when the processor executes the computer program.
15. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 6.
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