CN112436871B - Method, device, terminal, chip and storage medium for determining oversampling factor - Google Patents

Method, device, terminal, chip and storage medium for determining oversampling factor Download PDF

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CN112436871B
CN112436871B CN202011305615.7A CN202011305615A CN112436871B CN 112436871 B CN112436871 B CN 112436871B CN 202011305615 A CN202011305615 A CN 202011305615A CN 112436871 B CN112436871 B CN 112436871B
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value
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antenna ports
oversampling factor
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CN112436871A (en
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刘君
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/0626—Channel coefficients, e.g. channel state information [CSI]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • Mobile Radio Communication Systems (AREA)

Abstract

The embodiment of the application discloses a method, a device, a terminal, a chip and a storage medium for determining an oversampling factor, wherein the method comprises the following steps: acquiring the number of antenna ports with preset dimensionality; setting an oversampling factor of a preset dimension equal to a first value when the number of antenna ports of the preset dimension is less than or equal to a preset value; and setting the oversampling factor of the preset dimension to be equal to a second value under the condition that the number of the antenna ports of the preset dimension is greater than a preset value. Therefore, the method and the device use a logic judgment mode to replace a table look-up mode, so that the memory space can be saved, and the code maintainability is improved; and the realization complexity is low, and the time efficiency can be improved.

Description

Method, device, terminal, chip and storage medium for determining oversampling factor
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method, an apparatus, a terminal, a chip, and a storage medium for determining an oversampling factor.
Background
In a Multiple Input Multiple Output (MIMO) system, Multiple antennas are arranged at a transmitting end and a receiving end, so that spatial diversity or multiplexing gain can be obtained, and the anti-fading capability or the spectrum efficiency of the system can be remarkably improved. MIMO beamforming is also called MIMO precoding technology, and channel state information can be used to perform precoding processing on a transmission symbol at a transmitting end, so as to improve system capacity or reduce system error rate.
With the advent of the 5th Generation (5G) technology, in the 5G protocol, determination of oversampling factors for the horizontal dimension of an antenna array (represented by O1) and the vertical dimension of the antenna array (represented by O2) requires, on one hand, calculation of O1 and O2 by using different protocol branches according to the type of a codebook, so that codes also need to be implemented and maintained by distinguishing different situations, and the efficiency is low; on the other hand, the current 5G protocol determines O1 and O2 by using a table lookup method, which not only requires memory space to store tables, but also is cumbersome and time-inefficient.
Disclosure of Invention
The application provides a method, a device, a terminal, a chip and a storage medium for determining an oversampling factor, which can save memory space and improve code maintainability; and the realization complexity is low, and the time efficiency can be improved.
The technical scheme of the application is realized as follows:
in a first aspect, an embodiment of the present application provides a method for determining an oversampling factor, where the method includes:
acquiring the number of antenna ports with preset dimensionality;
setting an oversampling factor of a preset dimension equal to a first value when the number of antenna ports of the preset dimension is less than or equal to a preset value;
and setting the oversampling factor of the preset dimension to be equal to a second value under the condition that the number of the antenna ports of the preset dimension is greater than a preset value.
In a second aspect, an embodiment of the present application provides an apparatus for determining an oversampling factor, where the apparatus for determining an oversampling factor includes an obtaining unit and a setting unit; wherein the content of the first and second substances,
the acquisition unit is configured to acquire the number of antenna ports with preset dimensionality;
the setting unit is configured to set an oversampling factor of a preset dimension to be equal to a first value when the number of antenna ports of the preset dimension is less than or equal to a preset value;
the setting unit is further configured to set the oversampling factor of the preset dimension equal to a second value when the number of antenna ports of the preset dimension is greater than a preset value.
In a third aspect, an embodiment of the present application provides a terminal, where the terminal includes a memory and a processor; wherein the content of the first and second substances,
the memory for storing a computer program operable on the processor;
the processor, when executing the computer program, is adapted to perform the method according to the first aspect.
In a fourth aspect, an embodiment of the present application provides a chip, where the chip includes a processor; wherein the content of the first and second substances,
the processor is adapted to perform the method according to the first aspect when running a computer program called from memory.
In a fifth aspect, the present application provides a computer storage medium storing a computer program, which when executed by a processor implements the method according to the first aspect.
According to the method, the device, the terminal, the chip and the storage medium for determining the oversampling factor, the number of antenna ports with preset dimensionality is obtained; setting an oversampling factor of a preset dimension equal to a first value when the number of antenna ports of the preset dimension is less than or equal to a preset value; and setting the oversampling factor of the preset dimension to be equal to a second value under the condition that the number of the antenna ports of the preset dimension is greater than a preset value. Therefore, the method and the device utilize a logic judgment mode to replace a table look-up mode, not only can save memory space, but also have low implementation complexity, so that the code is simple to maintain and low in cost, thereby improving the easy maintainability of the code and simultaneously improving the time efficiency.
Drawings
Fig. 1 is a schematic view of an application scenario of a wireless communication system provided in the related art;
FIG. 2 is a diagram of determining O provided in the related art1And O2A schematic flow diagram of (a);
fig. 3 is a schematic flowchart of a method for determining an oversampling factor according to an embodiment of the present application;
fig. 4 is a detailed flowchart of a method for determining an oversampling factor according to an embodiment of the present application;
fig. 5 is a schematic structural diagram illustrating a component of an apparatus for determining an oversampling factor according to an embodiment of the present application;
fig. 6 is a schematic diagram of a specific hardware structure of a terminal according to an embodiment of the present disclosure;
fig. 7 is a schematic diagram of a specific hardware structure of a chip according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant application and are not limiting of the application. It should be noted that, for the convenience of description, only the parts related to the related applications are shown in the drawings.
Illustratively, fig. 1 shows a schematic application scenario of a wireless communication system provided by the related art. As shown in fig. 1, the application scenario may include a base station 101, a network 102, and a terminal 103.
Wherein base station 101 may be configured to communicate with terminal 103. The Base Station 101 may be a Base Transceiver Station (BTS), or an evolved Node B (eNB), and a Base Station in the 5th Generation (5G) system or a New Radio (NR) system; even the base station 101 may be an Access Point (AP), a transmission Node (Trans Node), a Central Unit (CU), or other network entities.
Terminals 103 are distributed throughout the wireless communication system and may be stationary or mobile. The terminal 103 may be, for example, a smart phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a User Equipment (UE), a mobile station (mobile station), a mobile client, or the like.
The network 102 may be a wireless communication network using any communication standard or protocol, including but not limited to Global System for Mobile communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access 2000 (CDMA 2000), Wideband Code Division Multiple Access (WCDMA), Time Division-Synchronous Code Division Multiple Access (TD-SCDMA), Long Term Evolution (LTE), 4G, 5G, etc.
Based on the application scenario shown in fig. 1, base station 101 may communicate with terminal 103 through network 102, and the link from base station 101 to terminal 103 is downlink, and the link from terminal 103 to base station 101 is uplink. In the precoding technique, a base station 101 may send a Channel-State Information Reference Signal (CSI-RS) to a terminal 103 through a downlink, and the terminal 103 may perform Channel estimation according to the CSI-RS, generate a precoding matrix (i.e., a codebook), and determine Precoding Matrix Indication (PMI) Information; thus, on the one hand, the PMI information is fed back to the base station 101, and on the other hand, the precoding matrix is adopted to preprocess the transmission signal, so that the effectiveness and reliability of information transmission can be improved.
With the development of communication technology, two Codebook types (Codebook types) are defined in the 5G protocol for precoding technology: a Type I codebook and a Type II codebook. The Type I codebook is a conventional precision codebook and can be used for a feedback mode based on space information with general channels; the Type II codebook is a high-precision codebook and can be used for an enhanced feedback mode based on spatial information with partial dominant channels. In addition, the Type I codebook may be further classified into a Single-Panel (SP) codebook and a Multi-Panel (MP) codebook. Here, Single-Panel means that there is only one antenna Panel, specifically, the entire array of all antenna ports forms one beam; Multi-Panel indicates that there are multiple antenna panels, specifically, each antenna block at a longer distance forms a beam independently.
First, a part of words in the present application is explained so as to be easily understood by those skilled in the art. The following codebook parameter variables are defined here:
-PCSI-RS: the number of antenna ports for transmitting CSI-RS is sent by a base station;
-N1: a number of first antenna ports in a horizontal dimension in the antenna array;
-N2: a second number of antenna ports in a vertical dimension in the antenna array;
-O1: a first oversampling factor (or first oversampling factor) for a horizontal dimension in the antenna array;
-O2: a second oversampling factor (or second oversampling factor) for the vertical dimension in the antenna array;
-Ng: number of antenna panels of Multi-Panel in Type I codebook Type.
Second, in the current 5G protocol, for O1And O2See fig. 2, which shows a determination O provided by the related art1And O2Is a schematic flow diagram. As shown in fig. 2, the process may include:
s201: starting O1And O2The computing module of (1);
s202: acquiring configuration information of Radio Resource Control (RRC) signaling; wherein the configuration information includes at least N1And N2；
S203: judging the type of the codebook;
s204: if the codebook Type is a Type I Single-Panel codebook Type, according to the first preset table and N1And N2Determining O by means of table look-up1And O2；
S205: if the codebook Type is a Type I Multiple-Panel codebook Type, according to a second preset table and Ng、N1And N2Determining O by means of table look-up1And O2；
S206: if the codebook Type is a Type II codebook Type, according to a first preset table and N1And N2Determining O by means of table look-up1And O2。
It should be noted that, at the network side (e.g. base station), N may be paired through RRC signaling1And N2Configuring to obtain configuration information of RRC signaling; thus, after acquiring the configuration information of the RRC signaling, the terminal can acquire N1And N2The respective values.
It should be further noted that the CodeBook (codebok) can be divided into three types: a Type I Single-Panel codebook Type, a Type I Multiple-Panel codebook Type, and a Type II codebook Type. If the judgment result is the Type of the Type I Single-Panel codebook, executing S204; if the judgment result is the Type I Multiple-Panel codebook Type, executing S205; if the determination result is the Type II codebook Type, S206 is performed.
Here, the first preset table may be as shown in table 1, which shows that at different PCSI-RS(N) below1，N2) And (O)1，O2) Example of configuration information.
TABLE 1
Figure BDA0002788243280000061
A second preset table may be as shown in Table 2, which shows that at different PCSI-RS(N) belowg，N1，N2) And (O)1，O2) Example of configuration information.
TABLE 2
Figure BDA0002788243280000062
Figure BDA0002788243280000071
In the 5G protocol, the first predetermined table is table 5.2.2.2.1-2 in the 5G protocol and the second predetermined table is table 5.2.2.2.2-1 in the 5G protocol. See the following protocol branches in particular:
a. for Type I Single-Panel codebook Type:
(1) the network side configures N through RRC signaling1And N2；
CodebookConfig->…->n1-n2；
(2) According to (N) obtained from configuration information of RRC signaling1And N2) The table lookup in table 5.2.2.2.1-2 of protocol 38.214 yields (O)1，O2)。
b. For Type I Multiple-Panel codebook Type:
(1) the network side configures N through RRC signaling1And N2；
CodebookConfig->…->ng-n1-n2
(2) According to (N) obtained from configuration information of RRC signalingg，N1，N2) The table lookup in table 5.2.2.2.2-1 of protocol 38.214 yields (O)1，O2)。
c. For Type II codebook Type:
(1) the network side configures N through RRC signaling1And N2；
CodebookConfig->…->n1-n2-codebookSubsetRestriction
(2) According to (N) obtained from configuration information of RRC signaling1And N2) The table lookup in table 5.2.2.2.1-2 of protocol 38.214 yields (O)1，O2)。
It should be noted that for Ng、N1And N2In the detailed description of the 5G protocol, NgBy ng, N1Denoted by N1, N2Denoted by n 2.
However, according to the 5G protocol described above, for O1And O2The determination of (3) needs to be divided into different situations when the current technical scheme is implemented, and specifically, three branches are provided:
a. type I Single-Panel codebook Type;
b. type I Multiple-Panel codebook Type;
c. type II codebook Type.
Thus, on the one hand, three branches make code need to be implemented and maintained on a case-by-case basisResulting in inefficiency and possible omissions in code modification. On the other hand, O is determined by table look-up1And O2The value of (a) is relatively complicated and time-inefficient. On the other hand, a memory space is also needed to store the two tables; wherein, Table 1 is for Type I Single-Panel codebook Type and Type II codebook Type, and Table 2 is for Type I Multiple-Panel codebook Type.
Based on this, the present application provides a method for determining an oversampling factor, and the basic idea of the method is: acquiring the number of antenna ports with preset dimensionality; setting an oversampling factor of a preset dimension equal to a first value when the number of antenna ports of the preset dimension is less than or equal to a preset value; and setting the oversampling factor of the preset dimension to be equal to a second value under the condition that the number of the antenna ports of the preset dimension is greater than a preset value. Therefore, the method and the device have the advantages that a logic judgment mode is used for replacing a table look-up mode, three branches are not needed for realization and maintenance, so that the code maintenance is simple, the cost is low, and the easy maintainability of the code is improved; in addition, the method and the device utilize a logic judgment mode to replace a table look-up mode, and do not need to store tables, so that the memory space can be saved, and the time efficiency is improved due to low implementation complexity and high speed.
Embodiments of the present application will be described in detail below with reference to the accompanying drawings.
In an embodiment of the present application, referring to fig. 3, a flowchart of a method for determining an oversampling factor provided by the embodiment of the present application is shown. As shown in fig. 3, the method may include:
s301: and acquiring the number of antenna ports with preset dimensionality.
It should be noted that the method is applied to the apparatus for determining the oversampling factor, or the terminal integrated with the apparatus. Here, the terminal may be implemented in various forms. For example, the terminal in the embodiment of the present application may be a device such as a smart phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a User Equipment (UE), a mobile station (mobile station), a mobile client, and the like, which is not limited herein.
It should also be noted that the preset dimension may include a horizontal dimension and a vertical dimension. That is, the number of antenna ports in the preset dimension may refer to the number of first antenna ports in the horizontal dimension, may also refer to the number of second antenna ports in the vertical dimension, and may even refer to the number of first antenna ports in the horizontal dimension and the number of second antenna ports in the vertical dimension, which is not limited herein.
In some embodiments, for S301, the obtaining the number of antenna ports of the preset dimension may include:
acquiring configuration information of a radio resource control signaling;
and obtaining the number of the antenna ports with the preset dimensionality from the configuration information of the radio resource control signaling.
In the embodiment of the present application, the terminal may first obtain configuration information of a Radio Resource Control (RRC) signaling; then, the number of antenna ports of a preset dimension, namely the first number of antenna ports of a horizontal dimension (available N) is obtained from the configuration information of the RRC signaling1Representing), and/or, a second number of antenna ports in a vertical dimension (available N)2Indicated).
It should be further noted that, before acquiring the configuration information of the radio resource control signaling, the network (i.e., the base station) needs to perform information configuration on the RRC signaling to obtain the configuration information of the RRC signaling; and then the base station sends the configuration information of the RRC signaling to the terminal so that the terminal can acquire the configuration information of the RRC signaling. Here, the configuration information of the RRC signaling may include at least a first antenna port number in a horizontal dimension and/or a second antenna port number in a vertical dimension.
S302: and setting the oversampling factor of the preset dimension to be equal to a first value under the condition that the number of the antenna ports of the preset dimension is less than or equal to a preset value.
S303: and setting the oversampling factor of the preset dimension to be equal to a second value under the condition that the number of the antenna ports of the preset dimension is greater than a preset value.
It should be noted that, if the number of antenna ports of the preset dimension is the first number of antenna ports of the horizontal dimension (using N)1Expressed), then the oversampling factor of the preset dimension is the first oversampling factor (in O) of the horizontal dimension1Represents); if the number of antenna ports of the predetermined dimension is the second number of antenna ports of the vertical dimension (using N)2Expressed), then the oversampling factor for the predetermined dimension is the second oversampling factor for the vertical dimension (expressed as O)2Representation).
It should be further noted that, in some embodiments, for the preset value, the preset value is determined according to configuration information of a corresponding relationship between an antenna port and an oversampling factor in a preset protocol.
Here, the preset protocol may refer to a 5G protocol. The configuration information of the correspondence between the antenna ports and the oversampling factors herein may include: first antenna port in horizontal dimension (N)1) And a first oversampling factor (O)1) Configuration information of the corresponding relationship between and the second antenna port (N) in the vertical dimension2) And a second oversampling factor (N)2) The configuration information of the corresponding relation between the two. Illustratively, from Table 5.2.2.2.1-2 in the 5G protocol and Table 5.2.2.2.2-1 in the 5G protocol, in the horizontal dimension, N1Includes at least one of 2, 3, 4, 6, 8, 12, 16, corresponding to O1The configuration information of (4). In the vertical dimension, N2Includes at least one of 1, 2, 3, 4, and when N is reached2When the configuration information of (1) is 1, it corresponds to O2The configuration information of (1); when N is present2When the configuration information of (2) is one of (3) and (4), it corresponds to O2The configuration information of (4).
Thus, the preset value can be determined according to the configuration information of the corresponding relationship between the antenna ports and the oversampling factors. In the embodiment of the present application, the preset value may be a value greater than or equal to 1 and less than 2.
Therefore, after the number of the antenna ports with the preset dimension is obtained, the number of the antenna ports with the preset dimension can be logically judged so as to determine the oversampling factor of the preset dimension. Here, if the number of antenna ports of the preset dimension is less than or equal to the preset value, S302 is performed, that is, the oversampling factor of the preset dimension may be set to be equal to the first value at this time; if the number of antenna ports of the preset dimension is greater than the preset value, S303 is executed, that is, the oversampling factor of the preset dimension may be set to be equal to the second value at this time.
In a specific embodiment, the preset value may be set to 1. In addition, only two values exist for the oversampling factor of the preset dimension: either the first value or the second value. Here, the first value is different from the second value; in particular, the first value may be equal to 1 and the second value may be equal to 4.
As can be seen from tables 1 and 2 in the related art, N1Can be one of 2, 3, 4, 6, 8, 12 and 16, N2Can be one of 1, 2, 3, 4, and O1Can be 4, O2Can have a value of 1 or 4.
That is, for O1Due to the value of N1All values of (a) are greater than 1, at which time O1Are all the second values (i.e. 4). For O2Due to the value of N2May equal 1, at which time O2Is a first value (i.e., 1); due to N2May be greater than 1, at which time O2Is taken as the second value (i.e., 4). In other words, the first oversampling factor (O) of the horizontal dimension1) It is entirely possible that the number of first antenna ports (N) is in the horizontal dimension1) Determining a second oversampling factor (O) of the vertical dimension2) It is entirely possible that the number of second antenna ports (N) of the vertical dimension2) And (4) determining.
Thus, for S302 and S303, the following will be for the first oversampling factor (O) for the horizontal dimension1) And a second oversampling factor (O) of the vertical dimension2) Are described in detail separately.
In some embodiments, when the number of antenna ports of the predetermined dimension is the first number of antenna ports of the horizontal dimension (N)1) The method may further include:
comparing the number of first antenna ports of the horizontal dimension to a preset value;
if the number of the first antenna ports of the horizontal dimension is smaller than or equal to a preset value, setting a first oversampling factor of the horizontal dimension to be equal to the first value;
and if the number of the first antenna ports of the horizontal dimension is greater than a preset value, setting a first oversampling factor of the horizontal dimension equal to the second value.
That is, assuming that the preset value is equal to 1, after acquiring the first antenna port number of the horizontal dimension through the configuration information of the RRC signaling, the first antenna port number of the horizontal dimension may be compared with 1; when the first number of antenna ports in the horizontal dimension is less than or equal to 1, a first oversampling factor (O) for the horizontal dimension may be set1) Equal to a first value; when the first number of antenna ports in the horizontal dimension is greater than 1, a first oversampling factor (O) in the horizontal dimension may be set1) Equal to the second value.
Assuming that the preset value is equal to 1.5, after acquiring the number of first antenna ports of the horizontal dimension through configuration information of RRC signaling, the number of first antenna ports of the horizontal dimension may be compared with 1.5; when the first number of antenna ports in the horizontal dimension is less than or equal to 1.5, a first oversampling factor (O) in the horizontal dimension may be set1) Equal to a first value; when the number of first antenna ports in the horizontal dimension is greater than 1.5, a first oversampling factor (O) in the horizontal dimension may be set1) Equal to the second value.
Further, the number of first antenna ports (N) due to the current horizontal dimension1) All greater than 1, and thus, in some embodiments, the method may further comprise:
setting a first oversampling factor of a horizontal dimension equal to the second value.
That is, a first oversampling factor (O) for the horizontal dimension1) In other words, at this time, the first oversampling factor (O) of the horizontal dimension may be directly obtained according to the number of the first antenna ports of the horizontal dimension without performing logical judgment1) Set to a second value. Even in the embodiment of the present application, the number of the first antenna ports of the horizontal dimension may be obtained without the configuration information of the RRC signaling, and the first oversampling factor (O) of the horizontal dimension may be directly obtained without performing logic determination1) Set to a second value.
Further, in some embodiments, when the number of antenna ports of the predetermined dimension is a second number of antenna ports of the vertical dimension (N)2) The method may further include:
comparing the number of second antenna ports of the vertical dimension to a preset value;
if the number of the second antenna ports of the vertical dimension is less than or equal to a preset value, setting a second oversampling factor of the vertical dimension equal to the first value;
and if the number of the second antenna ports of the vertical dimension is greater than a preset value, setting a second oversampling factor of the vertical dimension equal to the second value.
That is, assuming that the preset value is equal to 1, after the second antenna port number of the vertical dimension is acquired through the configuration information of the RRC signaling, the second antenna port number of the vertical dimension may be compared with 1; when the number of second antenna ports in the vertical dimension is less than or equal to 1, a second oversampling factor (O) in the vertical dimension may be set2) Equal to a first value; when the number of second antenna ports in the vertical dimension is greater than 1, a second oversampling factor (O) in the vertical dimension may be set2) Equal to the second value.
Assuming that the preset value is equal to 1.5, after the number of the second antenna ports of the vertical dimension is obtained through the configuration information of the RRC signaling, the number of the second antenna ports of the vertical dimension may be compared with 1.5; when the number of second antenna ports in the vertical dimension is less than or equal to 1.5, a second oversampling factor (O) in the vertical dimension may be set2) Equal to a first value; when the number of second antenna ports in the vertical dimension is greater than 1.5, a second oversampling factor (O) in the vertical dimension may be set2) Equal to the second value.
Here, the first value is different from the second value; in particular, the first value is equal to 1 and the second value is equal to 4.
In addition, after the number of antenna ports of the preset dimension and the oversampling factor of the preset dimension are obtained, the terminal can also construct a precoding matrix and determine precoding matrix indication information, and then report the precoding matrix indication information to the base station. Thus, in some embodiments, the number of antenna ports of the preset dimension comprises a first number of antenna ports of the horizontal dimension (N)1) And a second number of antenna ports (N) in the vertical dimension2) The oversampling factor of the preset dimension includes a first oversampling factor (O) of the horizontal dimension1) And a second oversampling factor (O) of the vertical dimension2) (ii) a The method further comprises the following steps:
determining precoding matrix indication information according to the number of the first antenna ports of the horizontal dimension, the number of the second antenna ports of the vertical dimension, the first oversampling factor of the horizontal dimension and the second oversampling factor of the vertical dimension;
and reporting the precoding matrix indication information to a base station.
In the embodiment of the application, the terminal obtains N1、N2、O1And O2Then, Pre-coding matrix Indication (PMI) information can be determined, and then the PMI information can be reported to the base station. In other words, the embodiments of the present application can be applied to all the needs to calculate O involved in reporting PMI information by a terminal in a 5G NR system1And O2The scene (2).
The embodiment provides a method for determining an oversampling factor, which includes acquiring the number of antenna ports with a preset dimension; setting an oversampling factor of a preset dimension equal to a first value when the number of antenna ports of the preset dimension is less than or equal to a preset value; and setting the oversampling factor of the preset dimension to be equal to a second value under the condition that the number of the antenna ports of the preset dimension is greater than a preset value. Therefore, the method and the device have the advantages that a logic judgment mode is used for replacing a table look-up mode, three branches are not needed for realization and maintenance, so that the code maintenance is simple, the cost is low, and the easy maintainability of the code is improved; in addition, the method and the device utilize a logic judgment mode to replace a table look-up mode, and do not need to store tables, so that the memory space can be saved, and the time efficiency is improved due to low implementation complexity and high speed.
In another embodiment of the present application, referring to fig. 4, a detailed flowchart of a method for determining an oversampling factor provided in the embodiment of the present application is shown. As shown in fig. 4, assuming that the first value is equal to 1 and the second value is equal to 4, the detailed procedure may include:
s401: starting O1And O2The computing module of (1);
s402: mixing O with1Set to 4;
s403: obtaining N from configuration information of RRC signaling2；
S404: judgment of N2Whether it is equal to 1;
s405: if the judgment result is yes, O is added2Is set to 1;
s406: if the judgment result is no, O is added2Set to 4.
S402 is O1To determine O1Value of (i) i.e. O1Is set to 4; and S404, S405 and S406 form O2To determine O2The value of (a). Here, for S404, if N2Equal to 1, the determination result is yes, at this time, S405 is executed, i.e., O is executed2Is set to 1; if N is present2Not equal to 1, e.g. N2If it is greater than 1, the determination result is no, at this time, S406 is executed, i.e., O is executed2Set to 4.
Specifically, it can be obtained from tables 1 and 2 in the related art that N is1Can be one of 2, 3, 4, 6, 8, 12 and 16, N2Can be one of 1, 2, 3, 4, and O1Can be 4, O2Can have a value of 1 or 4. That is, when N is1Or N2When the value of (1) is equal to 1, at this time O1Or O2Is 1; when N is present1Or N2When the value of (1) is greater than 1, at this timeO1Or O2Is 4. In other words, O1Can be completely composed of N1Determination of O2Can be completely composed of N2And (4) determining.
It should be noted that all N in tables 1 and 2 are included1Are all greater than 1, i.e., O1The value of (a) may be constant at 4. In addition, in tables 1 and 2, N is shown2May equal 1, at which time O2Is 1; for N2May be greater than 1, at which time O2Is 4. Thus, for O1S402 can be executed to directly take O1Set to 4; for O2Can perform the logic judgment of S404-S406, and then determine O according to the judgment result2Is (1) or (4).
In the related art, the flow of fig. 2 is utilized, and table 1 and table 2 in the 5G protocol are combined to determine O through a table look-up manner1And O2The value of (a). In the embodiment of the application, by observing and combing the table data in table 1 and table 2, an implementation mode with extremely high efficiency is provided, so that the memory space can be saved, and the easy maintainability of the code is improved. That is to say, the embodiments of the present application can be applied to all the needs to calculate O involved in reporting PMI information by a terminal in a 5G NR system1And O2The scene (2).
The present embodiment provides a method for determining an oversampling factor, and the specific implementation of the foregoing embodiment is elaborated through the foregoing embodiment, from which it can be seen that, on the one hand, compared with the related art, the technical solution of the present application is simple to implement, and O is also implemented1And O2The calculation modules are unified and can be realized by a simple module/function; three branches are not needed to realize at this time, so that the code is simple to maintain and low in cost; on the other hand, O1And O2Can be determined by a logical judgment method (N)2Whether the processing speed is equal to 1) or not replaces a table look-up mode, and the processing speed is high and the time efficiency is high at the moment; on the other hand, two tables such as table 1 and table 2 do not need to be stored, so that memory space can be savedAnd (3) removing the solvent.
In another embodiment of the present application, refer to fig. 5, which illustrates a schematic structural diagram of a device 50 for determining an oversampling factor provided in the embodiment of the present application. As shown in fig. 5, the means 50 for determining the oversampling factor may include: an acquisition unit 501 and a setting unit 502; wherein the content of the first and second substances,
an obtaining unit 501 configured to obtain the number of antenna ports with a preset dimension;
a setting unit 502 configured to set an oversampling factor of a preset dimension equal to a first value when the number of antenna ports of the preset dimension is less than or equal to a preset value;
the setting unit 502 is further configured to set the oversampling factor of the preset dimension to be equal to a second value when the number of antenna ports of the preset dimension is greater than a preset value.
In some embodiments, the obtaining unit 501 is specifically configured to obtain configuration information of radio resource control signaling; and obtaining the number of the antenna ports with the preset dimensionality from the configuration information of the radio resource control signaling.
In some embodiments, referring to fig. 5, the apparatus 50 for determining an oversampling factor may further include a comparing unit 503 configured to compare the first number of antenna ports in the horizontal dimension with a preset value when the number of antenna ports in the preset dimension includes the first number of antenna ports in the horizontal dimension;
a setting unit 502, configured to set a first oversampling factor of the horizontal dimension equal to the first value if the number of the first antenna ports of the horizontal dimension is less than or equal to a preset value; and further configured to set a first oversampling factor for the horizontal dimension equal to the second value if the number of first antenna ports for the horizontal dimension is greater than a preset value.
In some embodiments, the comparing unit 503 is further configured to compare the second number of antenna ports in the vertical dimension with a preset value when the number of antenna ports in the preset dimension includes the second number of antenna ports in the vertical dimension;
a setting unit 502, specifically configured to set a second oversampling factor of the vertical dimension equal to the first value if the number of the second antenna ports of the vertical dimension is less than or equal to a preset value; and further configured to set a second oversampling factor for the vertical dimension equal to the second value if the number of second antenna ports for the vertical dimension is greater than a preset value.
In some embodiments, the setting unit 502 is further configured to set the first oversampling factor of the horizontal dimension equal to the second value.
In some embodiments, the preset value is determined according to configuration information of a corresponding relationship between an antenna port and an oversampling factor in a preset protocol; wherein the preset value is a numerical value greater than or equal to 1 and less than 2.
In some embodiments, the first value is different from the second value; wherein the first value is equal to 1 and the second value is equal to 4.
In some embodiments, referring to fig. 5, the apparatus 50 for determining an oversampling factor may further include a determining unit 504 and a reporting unit 505; the number of antenna ports of the preset dimension comprises a first number of antenna ports of a horizontal dimension and a second number of antenna ports of a vertical dimension, and the oversampling factor of the preset dimension comprises a first oversampling factor of the horizontal dimension and a second oversampling factor of the vertical dimension;
a determining unit 504, configured to determine precoding matrix indication information according to the number of first antenna ports in the horizontal dimension, the number of second antenna ports in the vertical dimension, the first oversampling factor in the horizontal dimension, and the second oversampling factor in the vertical dimension;
a reporting unit 505 configured to report the precoding matrix indicator information to a base station.
It is understood that in this embodiment, a "unit" may be a part of a circuit, a part of a processor, a part of a program or software, etc., and may also be a module, or may also be non-modular. Moreover, each component in the embodiment may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware or a form of a software functional module.
Based on the understanding that the technical solution of the present embodiment essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, and include several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to execute all or part of the steps of the method of the present embodiment. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Accordingly, the present embodiment provides a computer storage medium storing a computer program which, when executed by a processor, implements the steps of the method of any of the preceding embodiments.
In a further embodiment of the present application, based on the composition of the apparatus 50 for determining an oversampling factor and the computer storage medium, refer to fig. 6, which shows a specific hardware structure diagram of a terminal 60 provided in an embodiment of the present application. As shown in fig. 6, the terminal 60 may comprise a processor 601, and the processor 601 may call and run a computer program from a memory to perform the method according to any of the foregoing embodiments.
Optionally, as shown in fig. 6, the terminal 60 may further include a memory 602. From the memory 602, the processor 601 may call and run a computer program to perform the method of any of the previous embodiments.
The memory 602 may be a separate device from the processor 601, or may be integrated into the processor 601.
Optionally, as shown in fig. 6, the terminal 60 may further include a transceiver 603, and the processor 601 may control the transceiver 603 to communicate with other devices, and specifically, may transmit information or data to the other devices or receive information or data transmitted by the other devices.
The transceiver 603 may include a transmitter and a receiver, among others. The transceiver 603 may further include antennas, and the number of antennas may be one or more.
Optionally, the terminal 60 may be specifically the terminal described in the foregoing embodiment, or a device integrated with the apparatus 50 for determining an oversampling factor described in any one of the foregoing embodiments. Here, the terminal 60 may implement corresponding processes of the methods in the embodiments of the present application, and for brevity, details are not described here again.
In yet another embodiment of the present application, based on the composition of the apparatus 50 for determining an oversampling factor and a computer storage medium, refer to fig. 7, which shows a specific hardware structure diagram of a chip 70 provided in an embodiment of the present application. As shown in fig. 7, the chip 70 may include a processor 701, and the processor 701 may call and execute a computer program from a memory to perform the method described in any of the foregoing embodiments.
The memory may be a memory provided inside the chip 70, or may be a memory provided outside the chip 70. Whether integrated within chip 70 or external to chip 70, processor 701 may retrieve and execute a computer program from the memory to perform any of the methods described in the preceding embodiments.
In the embodiment of the present application, when the memory is integrated inside the chip 70, optionally, as shown in fig. 7, the chip 70 may further include a memory 702. From the memory 702, the processor 701 may call and run a computer program to perform the method according to any of the previous embodiments.
In the chip 70, the memory 702 may be a separate device from the processor 701, or may be integrated in the processor 701.
Optionally, the chip 70 may further include an input interface 703. The processor 701 may control the input interface 703 to communicate with other devices or chips, and specifically, may obtain information or data sent by the other devices or chips.
Optionally, the chip 70 may further include an output interface 704. The processor 701 may control the output interface 704 to communicate with other devices or chips, and may particularly output information or data to the other devices or chips.
Optionally, the chip 70 may be applied to the terminal described in the foregoing embodiment, and the chip may implement corresponding processes of the methods in the embodiments of the present application, and for brevity, details are not described here again.
It should be understood that the chips mentioned in the embodiments of the present application may also be referred to as a system-on-chip, a system-on-chip or a system-on-chip.
It should be noted that the processor in the embodiment of the present application may be an integrated circuit chip having signal processing capability. In implementation, the steps of the above method embodiments may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
It should also be noted that the memory in the embodiments of the present application may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of example, but not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic random access memory (ddr Data Rate SDRAM, ddr SDRAM), Enhanced Synchronous SDRAM (ESDRAM), Synchronous chained SDRAM (Synchronous link DRAM, SLDRAM), and Direct memory bus RAM (DRRAM). It should be noted that the memories of the systems and methods described herein are intended to comprise, without being limited to, these and any other suitable types of memory.
It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the Processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units configured to perform the functions described herein, or a combination thereof. For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
Those of ordinary skill in the art would appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
It should be noted that, in the present application, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
The methods disclosed in the several method embodiments provided in the present application may be combined arbitrarily without conflict to obtain new method embodiments.
Features disclosed in several of the product embodiments provided in the present application may be combined in any combination to yield new product embodiments without conflict.
The features disclosed in the several method or apparatus embodiments provided in the present application may be combined arbitrarily, without conflict, to arrive at new method embodiments or apparatus embodiments.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (9)

1. A method of determining an oversampling factor, the method comprising:
the terminal acquires the number of antenna ports with preset dimensionality; the preset dimensions comprise a horizontal dimension and a vertical dimension;
setting an oversampling factor of the horizontal dimension equal to a second value;
under the condition that the number of the antenna ports of the vertical dimension is smaller than or equal to a preset value, the terminal sets the oversampling factor of the vertical dimension to be equal to a first value;
and under the condition that the number of the antenna ports of the vertical dimension is larger than a preset value, the terminal sets the oversampling factor of the vertical dimension to be equal to the second value.
2. The method of claim 1, wherein the obtaining the number of antenna ports with a preset dimension comprises:
acquiring configuration information of a radio resource control signaling;
and obtaining the number of the antenna ports with the preset dimensionality from the configuration information of the radio resource control signaling.
3. The method according to claim 1 or 2, wherein the preset value is determined according to configuration information of a corresponding relationship between an antenna port and an oversampling factor in a preset protocol; wherein the preset value is a numerical value greater than or equal to 1 and less than 2.
4. The method of claim 1, wherein the first value is different from the second value; wherein the first value is equal to 1 and the second value is equal to 4.
5. The method of claim 1, further comprising:
determining precoding matrix indication information according to the number of antenna ports of the horizontal dimension, the number of antenna ports of the vertical dimension, the oversampling factor of the horizontal dimension and the oversampling factor of the vertical dimension;
and reporting the precoding matrix indication information to a base station.
6. An apparatus for determining an oversampling factor, the apparatus comprising an acquisition unit and a setting unit; wherein, the first and the second end of the pipe are connected with each other,
the acquisition unit is configured to acquire the number of antenna ports with preset dimensionality; the preset dimensions comprise a horizontal dimension and a vertical dimension;
the setting unit is configured to set the oversampling factor of the horizontal dimension equal to a second value;
the setting unit is configured to set the oversampling factor of the vertical dimension to be equal to a first value when the number of antenna ports of the vertical dimension is less than or equal to a preset value;
the setting unit is further configured to set the oversampling factor of the vertical dimension equal to the second value when the number of antenna ports of the vertical dimension is greater than a preset value.
7. A terminal, characterized in that the terminal comprises a memory and a processor; wherein the content of the first and second substances,
the memory for storing a computer program operable on the processor;
the processor, when running the computer program, is configured to perform the method of any of claims 1 to 5.
8. A chip, wherein the chip comprises a processor; wherein, the first and the second end of the pipe are connected with each other,
the processor, when executing a computer program called from memory, for performing the method of any of claims 1 to 5.
9. A computer storage medium, characterized in that it stores a computer program which, when executed by a processor, implements the method of any one of claims 1 to 5.
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