CN108282203B - Method and apparatus for wireless communication - Google Patents
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- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
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- 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
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- 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
- H04B7/0636—Feedback format
- H04B7/0639—Using selective indices, e.g. of a codebook, e.g. pre-distortion matrix index [PMI] or for beam selection
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Abstract
The present application relates to methods and apparatus for wireless communication. The application provides a wireless communication method used on a user terminal side, which comprises the following steps: acquiring a vertical differential codebook and a horizontal differential codebook at the current moment based on a vertical codeword vector and a horizontal codeword vector at the previous moment; and respectively selecting a vertical code word vector and a horizontal code word vector of the current moment from the vertical differential codebook and the horizontal differential codebook of the current moment based on the channel state information of the current moment. The application also provides a wireless communication method used on the base station side, which comprises the following steps: receiving index information from a user terminal; recovering the vertical code word vector and the horizontal code word vector of the current moment corresponding to the index information from the vertical code book and the horizontal code book of the current moment; and calculating a vertical differential codebook and a horizontal differential codebook for a next time based on the vertical codeword vector and the horizontal codeword vector for the current time.
Description
Technical Field
The present application relates generally to the field of communications, and more particularly, to methods and apparatus for wireless communications.
Background
Multiple Input Multiple Output (MIMO) technology utilizes spatial dimensions to simultaneously transmit multiple data streams to increase the capacity of the system, and this is mainly due to the fact that Channel Direction Information (CDI) plays an indispensable role. Spatial multiplexing is an important aspect of enhanced MIMO and can provide very high spectral efficiency. When the transmitting end can obtain reliable channel information, spatial multiplexing can be realized through linear precoding. Linear precoding requires complete channel state information, first order statistics, or second order statistics. The acquisition of the information is difficult to realize in a Frequency Division Duplex (FDD) system, and the feedback information of the system can be greatly reduced by providing a pre-designed pre-coding codebook set, selecting a proper pre-coding codebook at a receiving end according to the estimated channel state information and a certain selection algorithm, and then feeding back the index of the corresponding codebook to the transmitting end.
Based on this, a large number of precoding codebook design methods are proposed. In 3D-MIMO systems based on uniform planar arrays, the increase in the number of antennas and the extension of the spatial vertical dimension make the 3D codebook design more complex. Meanwhile, in order to enable the 3D codebook to describe the channel state information of the 3D-MIMO channel more accurately, codebooks of two dimensions, namely, the vertical dimension and the horizontal dimension, are generally combined in a Kronecker product operation form to form a 3D precoding codebook, such as a 3D-DFT codebook. When no time correlation exists in the channel, the fixed and unchangeable 3D-DFT codebook can show better adaptability to the 3D channel; and when the channel has time correlation, the fixed and unchangeable 3D-DFT codebook has the problem of inaccurate quantization when quantizing the 3D channel. Meanwhile, the grassmannian linear encapsulation (GLP) codebook performs poorly on non-independently identically distributed rayleigh fading channels, while the Discrete Fourier Transform (DFT) codebook and the channel statistics-based adaptive codebook perform poorly on non-spatially correlated channels.
Disclosure of Invention
The application provides a method and equipment for wireless communication, which can improve the quantization precision of a codebook on a channel and improve the precoding performance under the condition of not increasing extra feedback quantity.
In a first aspect, a wireless communication method for a user terminal is provided, including: the method comprises the following steps: acquiring a vertical differential codebook and a horizontal differential codebook at the current moment based on a vertical codeword vector and a horizontal codeword vector at the previous moment; and respectively selecting a vertical code word vector and a horizontal code word vector of the current moment from the vertical differential codebook and the horizontal differential codebook of the current moment based on the channel state information of the current moment.
In a second aspect, a wireless communication method for use in a base station side is provided, including: receiving index information from a user terminal; recovering the vertical code word vector and the horizontal code word vector of the current moment corresponding to the index information from the vertical code book and the horizontal code book of the current moment; and calculating a vertical differential codebook and a horizontal differential codebook for a next time based on the vertical codeword vector and the horizontal codeword vector for the current time.
In a third aspect, there is provided a wireless communication device for use at a user terminal side, comprising: a processor; and a memory to store instructions that, when executed, cause the processor to: acquiring a vertical differential codebook and a horizontal differential codebook at the current moment based on a vertical codeword vector and a horizontal codeword vector at the previous moment; and respectively selecting a vertical code word vector and a horizontal code word vector of the current moment from the vertical differential codebook and the horizontal differential codebook of the current moment based on the channel state information of the current moment.
In a fourth aspect, there is provided a wireless communication apparatus for use on a base station side, including: a processor; and a memory to store instructions that, when executed, cause the processor to: receiving index information from a user terminal; recovering the vertical code word vector and the horizontal code word vector of the current moment corresponding to the index information from the vertical code book and the horizontal code book of the current moment; and calculating a vertical differential codebook and a horizontal differential codebook for a next time based on the vertical codeword vector and the horizontal codeword vector for the current time.
In the technical scheme of the application, the differential codebook is constructed based on the channel time correlation, so that the channel quantization precision can be improved and the precoding performance can be improved under the condition of not increasing extra feedback quantity.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 shows a schematic diagram of a wireless communication method used at a user terminal side according to an embodiment of the present application.
Fig. 2 shows a schematic diagram of a wireless communication method used at a base station side according to an embodiment of the present application.
FIG. 3 shows a schematic diagram of an example construction method of a rotation matrix according to an embodiment of the application.
Fig. 4 shows a schematic diagram of a wireless communication device for use at a user terminal side according to an embodiment of the application.
Fig. 5 shows a schematic diagram of a wireless communication device for use at a base station side according to an embodiment of the application.
Fig. 6 illustrates a block diagram of an exemplary hardware architecture of a computing device capable of implementing at least a portion of a wireless communication method in accordance with an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, 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, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without inventive step, are within the scope of the present application.
Features and exemplary embodiments of various aspects of the present application will be described in detail below. In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof. The present application is not limited to any specific configuration and algorithm set forth below, but covers any modification, replacement or improvement of elements, components and algorithms without departing from the spirit of the present application. In the drawings and the following description, well-known structures and techniques are not shown in order to avoid unnecessarily obscuring the present application.
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. In the drawings, the thickness of regions and layers may be exaggerated for clarity. The same reference numerals denote the same or similar structures in the drawings, and thus detailed descriptions thereof will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the subject matter of the present application can be practiced without one or more of the specific details, or with other methods, components, materials, and so forth. In other instances, well-known structures, materials, or operations are not shown or described in detail to avoid obscuring major technical ideas of the application.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
In the conventional codebook-based precoding, a precoding codebook is designed offline and is arranged at two ends of a user and a base station, a user terminal obtains partial or complete channel state information through channel estimation, an optimal precoding codeword vector is selected in the offline codebook by using a proper codeword selection criterion and a corresponding Precoding Matrix Index (PMI) is determined, the PMI is transmitted back to the base station by using a limited feedback channel, the base station can recover and obtain precoding codewords of the user from the offline codebook according to the PMI value, and the precoding processing of transmitted data is completed by combining the precoding codewords of a plurality of users, namely, the conventional codebook-based precoding process.
In conventional wireless communication for precoding, when there is time correlation in a channel, quantization of a fixed and invariant 3D-DFT codebook has a problem of inaccuracy in quantizing a 3D channel. Meanwhile, the grassmannian linear encapsulation (GLP) codebook performs poorly on non-independently identically distributed rayleigh fading channels, while the Discrete Fourier Transform (DFT) codebook and the channel statistics-based adaptive codebook perform poorly on non-spatially correlated channels.
In view of the above, the present application provides a wireless communication method and apparatus that can be used for precoding, where a differential codebook is constructed based on channel time correlation, and the channel quantization precision can be improved and the precoding performance can be improved without increasing an additional feedback amount.
Fig. 1 shows a schematic diagram of a wireless communication method used at a user terminal side according to an embodiment of the present application. As shown in fig. 1, a wireless communication method 100 for use at a user terminal according to an embodiment of the present application may include: s102, acquiring a vertical differential codebook and a horizontal differential codebook at the current moment based on a vertical codeword vector and a horizontal codeword vector at the previous moment; and S104, respectively selecting the vertical code word vector and the horizontal code word vector of the current time from the vertical differential codebook and the horizontal differential codebook of the current time based on the channel state information of the current time.
In some embodiments, the vertical differential codebook and the horizontal differential codebook at the current time may be obtained by multiplying the vertical codeword vector and the horizontal codeword vector at the previous time by a predetermined vertical rotation matrix and a predetermined horizontal rotation matrix, respectively, wherein the predetermined vertical rotation matrix and the predetermined horizontal rotation matrix may be determined based on the channel time correlation coefficient, and a construction method of the rotation matrix will be described in detail in fig. 3 below. In some embodiments, the vertical differential codebook and the horizontal differential codebook for the current time instant may be calculated, for example, based on the following equation (1):
wherein, CvτAnd ChτA vertical differential codebook and a horizontal differential codebook respectively representing the current time τ (τ > 0) { Rvg,g＝1,2,...,GvAnd { Rh } andg,g＝1,2,...,Ghdenotes predetermined G's, respectivelyvA vertical rotation matrix and GhA horizontal rotation matrix is formed by the horizontal rotation matrix,
and
respectively representing the vertical and horizontal codeword vectors at the previous time instant, i.e., time instant t-1. In some embodiments, the vertical codeword vector and the horizontal codeword vector at the initial time instance may be determined based on a vertical base codebook and a horizontal base codebook, which may be, for example, discrete fourier transform, DFT, codebooks. In some embodiments, in the case where the base station antenna structure is, for example, a uniform planar array-based 3D-MIMO system and the number of user terminal antennas is, for example, 1, the vertical base codebook and the horizontal base codebook may be expressed as shown in the following equations (2) and (3):
wherein, Cv0And Ch0Respectively representing a vertical base codebook and a horizontal base codebook, NvAnd NhRespectively representing the number of array elements in the vertical direction (i.e. the number of antennas in the vertical dimension) and the number of antennas in the horizontal directionThe number of array elements (i.e. the number of antennas in the horizontal dimension), MvAnd MhRespectively representing the sizes of the vertical base codebook and the horizontal base codebook. The selection method of the vertical codeword vector and the horizontal codeword vector at each time after the initial time will be described in detail below.
In some embodiments, in S104, selecting the vertical codeword vector and the horizontal codeword vector for the current time instance may be selected based on a selection algorithm such as a minimum chordal distance criterion, for example. For example, taking the selection algorithm as the minimum chordal distance criterion as an example, the vertical difference codebook Cv at time τ can be obtainedτAnd a horizontal differential codebook ChτTo select and best precoding vector
And
the code word vector with the minimum distance is used as the vertical code word vector at the time of tau
Sum horizontal codeword vector sum
Specifically, as shown in the following equation (4):
wherein, the chord distance dchord(X, Y) is defined as
||·||FRepresenting the F-norm of the matrix. In some embodiments, the best precoding vector
And
can be used forUsing channel state information at the current time
For example, as calculated by equation (5) below:
wherein
Is composed of
The vector of the largest singular value of (a),
is composed of
The largest singular value vector of.
In some embodiments, the wireless communication method 100 for use in a user terminal according to an embodiment of the present application may further include: and transmitting the index information corresponding to the vertical code word vector and the horizontal code word vector at the current moment to the base station. In some embodiments, the base station may recover the codeword vector of the user from the codebook according to the received index information. In one aspect, the base station may perform precoding processing on the transmitted data stream in association with the codeword vectors of multiple users. On the other hand, the base station may calculate a codebook at the next time based on the precoding vectors and a predetermined rotation matrix stored in the base station, so as to update the codebook. The wireless communication method for the base station side will be described in detail in fig. 2.
Fig. 2 shows a schematic diagram of a wireless communication method used at a base station side according to an embodiment of the present application. As shown in fig. 2, a wireless communication method 200 for use at a base station side according to an embodiment of the present application may include: s202, receiving index information from a user terminal; s204, recovering the vertical code word vector and the horizontal code word vector of the current moment corresponding to the index information from the vertical codebook and the horizontal codebook of the current moment; and S206, calculating the vertical differential codebook and the horizontal differential codebook at the next moment based on the vertical codeword vector and the horizontal codeword vector at the current moment.
In some embodiments, at the initial time, the vertical codebook and the horizontal codebook at the current time may be a vertical base codebook and a horizontal base codebook, respectively, and at the non-initial time, the vertical codebook and the horizontal codebook at the current time may be a vertical differential codebook and a horizontal differential codebook, respectively. In some embodiments, the vertical base codebook and the horizontal base codebook may be discrete fourier transform, DFT, codebooks. In some embodiments, in the case that the base station antenna structure is, for example, a 3D-MIMO system based on a uniform planar array and the number of user terminal antennas is, for example, 1, the vertical base codebook and the horizontal base codebook may be represented as equations (2) and (3) described above similarly to those described in fig. 1, and are not described herein again.
In some embodiments, the vertical differential codebook and the horizontal differential codebook at the next time instant are obtained by multiplying the vertical codeword vector and the horizontal codeword vector at the current time instant by a predetermined vertical rotation matrix and a predetermined horizontal rotation matrix, respectively, wherein the predetermined vertical rotation matrix and the predetermined horizontal rotation matrix may be determined based on the channel time correlation coefficient, and a construction method of the rotation matrix will be described in detail in fig. 3 below. In some embodiments, the vertical differential codebook and the horizontal differential codebook at the next time may be calculated based on the above equation (1) similar to that described in fig. 1, for example, and will not be described herein again.
In some embodiments, calculating the precoding vector for the current time instance may be calculated using an algorithm such as Kronecker product operation based on the vertical codeword vector and the horizontal codeword vector for the current time instance. For example, taking Kronecker product operation as an example, the precoding vector at the current time can be calculated as the following equation (6) to perform precoding processing:
wherein the content of the first and second substances,
and
respectively representing the vertical and horizontal codeword vectors at the current time instant.
FIG. 3 shows a schematic diagram of an example construction method of a rotation matrix according to an embodiment of the application. The rotation matrix is a key part of the 3D rotation codebook, and the rotation matrix can effectively track the change of the channel direction information, which includes two points: firstly, the code word vector after the action of the rotation matrix still keeps the invariance of the code word structure, namely, each element in the code word still has the characteristic of cyclic phase shift of the DFT vector; the second is that the "perturbation radius" of the rotation matrix is always consistent with the mean of the channel direction changes. In some embodiments, to provide rotation matrices with the above-described characteristics, vertical and horizontal rotation matrices may be determined, for example, as shown in the example construction method 300 of FIG. 3.
The method 300 may include: s302, calculating a horizontal auxiliary angle parameter alpha based on a channel time correlation coefficient etahAnd a vertical auxiliary angle parameter alphav. In some embodiments, for simplicity, it is assumed that the channel time correlation coefficient η remains unchanged. The distance mean value D of the 3D channel at the adjacent moment in the vertical and horizontal directions can be calculated based on the channel time correlation coefficient etavAnd DhCan be expressed as shown in the following equation (7), respectively:
wherein N isvAnd NhThe number of elements in the vertical direction (i.e., the number of antennas in the vertical dimension) and the number of elements in the horizontal direction (i.e., the number of antennas in the horizontal dimension) are respectively indicated. Further, α may behAnd alphavA horizontal assist angle parameter and a vertical assist angle parameter, respectively, and satisfying the following equation (8):
the horizontal assist angle parameter α can be calculated using the above equationhAnd a vertical auxiliary angle parameter alphav。
The method 300 may further include: s304, based on the horizontal auxiliary angle parameter alphahAnd a vertical auxiliary angle parameter alphavAnd the number of vertical rotation matrices GvAnd the number G of horizontal rotation matriceshDetermining an angle parameter [ theta ]g,g＝1,2,...,GvAnd
in some embodiments, the angle parameter θg,g＝1,2,...,GvAnd
for example, it may be determined based on the following equations (9) and (10).
The method 300 may further include: s306, based on the angle parameter { thetag,g＝1,2,...,GvAnd
a vertical rotation matrix and a horizontal rotation matrix are determined. In some embodiments, the matrix of vertical rotations { Rvg,g＝1,2,...,GvAnd the horizontal rotation matrix sum { Rh }g,g＝1,2,...,GhThe } can be determined by the following equation (11):
in some embodiments, when the channel time correlation coefficient η varies with time, the differentiation idea may be used to divide the time domain channel into several time slices, and each time slice may be regarded as if η remains unchanged approximately, i.e. it may be handled in a similar manner as described above.
Fig. 4 shows a schematic diagram of a wireless communication device for use at a user terminal side according to an embodiment of the application. As shown in fig. 4, the wireless communication device 400 for use at a user terminal side according to an embodiment of the present application may include: a processor 402; and a memory 404 for storing instructions that, when executed, cause the processor to: acquiring a vertical differential codebook and a horizontal differential codebook at the current moment based on a vertical codeword vector and a horizontal codeword vector at the previous moment; and respectively selecting a vertical code word vector and a horizontal code word vector of the current moment from the vertical differential codebook and the horizontal differential codebook of the current moment based on the channel state information of the current moment.
In some embodiments, a processor may include, but is not limited to, a general purpose processor, a special purpose processor, a microprocessor, and the like. In some embodiments, the memory may be implemented by any type of volatile or non-volatile storage device, or combination thereof. The memory may include semiconductor memory such as Random Access Memory (RAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Read Only Memory (ROM), Programmable Read Only Memory (PROM), Erasable Programmable Read Only Memory (EPROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory, and the like. The memory may also include, for example, any memory using paper media, magnetic media, and/or optical media, such as paper tape, hard disk, magnetic tape, floppy disk, magneto-optical disk (MO), CD, DVD, Blue-ray, and the like.
In some embodiments, the vertical differential codebook and the horizontal differential codebook at the current time instant may be obtained by multiplying the vertical codeword vector and the horizontal codeword vector at the previous time instant by a predetermined vertical rotation matrix and a predetermined horizontal rotation matrix, respectively, wherein the predetermined vertical rotation matrix and the predetermined horizontal rotation matrix may be determined based on the channel time correlation coefficient, as described in detail above with respect to the construction method of the rotation matrix in fig. 3. In some embodiments, the vertical differential codebook and the horizontal differential codebook at the current time may be calculated, for example, based on equation (1) described above in fig. 1. In some embodiments, the vertical codeword vector and the horizontal codeword vector at the initial time instance may be determined based on a vertical base codebook and a horizontal base codebook, which may be, for example, discrete fourier transform, DFT, codebooks. In some embodiments, in the case where the base station antenna structure is, for example, a uniform planar array-based 3D-MIMO system and the number of user terminal antennas is, for example, 1, the vertical base codebook and the horizontal base codebook may be expressed as shown in equations (2) and (3) described above in fig. 1.
In some embodiments, selecting the vertical codeword vector and the horizontal codeword vector for the current time instance may be selected based on a selection algorithm, such as a minimum chordal distance criterion, for example. For example, taking the selection algorithm as the minimum chordal distance criterion as an example, the vertical difference codebook Cv at time τ can be obtainedτAnd a horizontal differential codebook ChτTo select and best precoding vector
And
the code word vector with the minimum distance is used as the vertical code word vector at the time of tau
Sum horizontal codeword vector sum
This may be specifically shown in equation (4) as described above in fig. 1. In some embodiments, the best precoding vector
And
can benefitUsing channel state information at the current time
For example, as calculated by equation (5) described above in fig. 1.
In some embodiments, the instructions, when executed, may further cause the processor to: and transmitting the index information corresponding to the vertical code word vector and the horizontal code word vector at the current moment to the base station.
Fig. 5 shows a schematic diagram of a wireless communication device for use at a base station side according to an embodiment of the application. As shown in fig. 5, a wireless communication apparatus 500 for use on the base station side according to an embodiment of the present application may include: a processor 502; and a memory 504 for storing instructions that, when executed, cause the processor to: receiving index information from a user terminal; recovering the vertical code word vector and the horizontal code word vector of the current moment corresponding to the index information from the vertical code book and the horizontal code book of the current moment; and calculating a vertical differential codebook and a horizontal differential codebook for a next time based on the vertical codeword vector and the horizontal codeword vector for the current time.
In some embodiments, a processor may include, but is not limited to, a general purpose processor, a special purpose processor, a microprocessor, and the like. In some embodiments, the memory may be implemented by any type of volatile or non-volatile storage device, or combination thereof. The memory may include semiconductor memory such as Random Access Memory (RAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Read Only Memory (ROM), Programmable Read Only Memory (PROM), Erasable Programmable Read Only Memory (EPROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory, and the like. The memory may also include, for example, any memory using paper media, magnetic media, and/or optical media, such as paper tape, hard disk, magnetic tape, floppy disk, magneto-optical disk (MO), CD, DVD, Blue-ray, and the like.
In some embodiments, at the initial time, the vertical codebook and the horizontal codebook at the current time may be a vertical base codebook and a horizontal base codebook, respectively, and at the non-initial time, the vertical codebook and the horizontal codebook at the current time may be a vertical differential codebook and a horizontal differential codebook, respectively. In some embodiments, the vertical base codebook and the horizontal base codebook may be discrete fourier transform, DFT, codebooks. In some embodiments, in the case that the base station antenna structure is, for example, a 3D-MIMO system based on a uniform planar array and the number of user terminal antennas is, for example, 1, the vertical base codebook and the horizontal base codebook may be represented as equations (2) and (3) described above similarly to those described in fig. 1, and are not described herein again.
In some embodiments, the vertical differential codebook and the horizontal differential codebook at the next time instant are obtained by multiplying the vertical codeword vector and the horizontal codeword vector at the current time instant by a predetermined vertical rotation matrix and a predetermined horizontal rotation matrix, respectively, wherein the predetermined vertical rotation matrix and the predetermined horizontal rotation matrix may be determined based on the channel time correlation coefficient, as described in detail above with reference to fig. 3 for the construction method of the rotation matrix. In some embodiments, the vertical differential codebook and the horizontal differential codebook at the next time may be calculated based on equation (1) as described in fig. 1 above, for example, and will not be described herein.
In some embodiments, calculating the precoding vector for the current time instance may be calculated using an algorithm such as Kronecker product operation based on the vertical codeword vector and the horizontal codeword vector for the current time instance. For example, taking Kronecker product operation as an example, the precoding vector at the current time can be calculated according to equation (6) as described in fig. 2 above to perform precoding processing.
At least a portion of the wireless communication methods 100 and 200 described in conjunction with fig. 1-2 may be implemented by a computing device. Fig. 6 illustrates a block diagram of an exemplary hardware architecture of a computing device capable of implementing at least a portion of the wireless communication methods 100 and 200 according to embodiments of the present application. As shown in fig. 6, computing device 600 includes an input device 601, an input interface 602, a central processor 603, a memory 604, an output interface 605, and an output device 606. The input interface 602, the central processing unit 603, the memory 604, and the output interface 605 are connected to each other via a bus 610, and the input device 601 and the output device 606 are connected to the bus 610 via the input interface 602 and the output interface 605, respectively, and further connected to other components of the computing device 600. Specifically, the input device 601 receives input information from the outside, and transmits the input information to the central processor 603 through the input interface 602; the central processor 603 processes input information based on computer-executable instructions stored in the memory 604 to generate output information, stores the output information temporarily or permanently in the memory 604, and then transmits the output information to the output device 606 through the output interface 605; output device 606 outputs output information to the exterior of computing device 600.
It is to be understood that this application is not limited to the particular arrangements and instrumentality described above and shown in the drawings. Also, a detailed description of known process techniques is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications, and additions or change the order between the steps after comprehending the spirit of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. 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.
While the invention has been described with reference to specific embodiments, the scope of the invention is not limited thereto, and those skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the invention. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (28)
1. A wireless communication method for use at a user terminal side, comprising:
acquiring a vertical differential codebook and a horizontal differential codebook at the current moment based on a vertical codeword vector and a horizontal codeword vector at the previous moment; and
and respectively selecting the vertical code word vector and the horizontal code word vector of the current moment from the vertical differential codebook and the horizontal differential codebook of the current moment based on the channel state information of the current moment.
2. The wireless communication method according to claim 1, wherein the vertical differential codebook and the horizontal differential codebook at the current time are obtained by multiplying the vertical codeword vector and the horizontal codeword vector at the previous time by a predetermined vertical rotation matrix and a predetermined horizontal rotation matrix, respectively.
3. The wireless communication method of claim 2, wherein the predetermined vertical rotation matrix and horizontal rotation matrix are determined based on channel time correlation coefficients.
4. The wireless communication method of claim 1, wherein the vertical codeword vector and the horizontal codeword vector at the initial time instance are determined based on a vertical basis codebook and a horizontal basis codebook.
5. The wireless communication method of claim 4, wherein the vertical base codebook and the horizontal base codebook are Discrete Fourier Transform (DFT) codebooks.
6. The wireless communication method of claim 1, wherein selecting the vertical and horizontal codeword vectors for the current time instance is selected based on a minimum chordal distance criterion.
7. The wireless communication method of claim 1, further comprising: and sending the index information corresponding to the vertical code word vector and the horizontal code word vector of the current moment to a base station.
8. A wireless communication method for use on a base station side, comprising:
receiving index information from a user terminal;
recovering the vertical code word vector and the horizontal code word vector of the current moment corresponding to the index information from the vertical code book and the horizontal code book of the current moment; and
and calculating a vertical differential codebook and a horizontal differential codebook at the next moment based on the vertical codeword vector and the horizontal codeword vector at the current moment.
9. The wireless communication method of claim 8, wherein:
at an initial moment, the vertical codebook and the horizontal codebook at the current moment are respectively a vertical basic codebook and a horizontal basic codebook; and
and when the current time is not the initial time, the vertical codebook and the horizontal codebook at the current time are respectively a vertical differential codebook and a horizontal differential codebook.
10. The wireless communication method of claim 9, wherein the vertical base codebook and the horizontal base codebook are Discrete Fourier Transform (DFT) codebooks.
11. The wireless communication method according to claim 8, wherein the vertical and horizontal differential codebooks at the next time instant are obtained by multiplying the vertical and horizontal codeword vectors at the current time instant by predetermined vertical and horizontal rotation matrices, respectively.
12. The wireless communication method of claim 11, wherein the predetermined vertical rotation matrix and horizontal rotation matrix are determined based on channel time correlation coefficients.
13. The wireless communication method of claim 8, further comprising: and calculating the precoding vector of the current moment based on the vertical code word vector and the horizontal code word vector of the current moment.
14. The wireless communication method of claim 13, wherein calculating the precoding vector for the current time instance is calculated using a Kronecker product operation based on a vertical codeword vector and a horizontal codeword vector for the current time instance.
15. A wireless communication device for use at a user terminal side, comprising:
a processor; and
a memory to store instructions that, when executed, cause the processor to:
acquiring a vertical differential codebook and a horizontal differential codebook at the current moment based on a vertical codeword vector and a horizontal codeword vector at the previous moment; and
and respectively selecting the vertical code word vector and the horizontal code word vector of the current moment from the vertical differential codebook and the horizontal differential codebook of the current moment based on the channel state information of the current moment.
16. The wireless communication device of claim 15, the vertical and horizontal differential codebooks at the current time instant are obtained by multiplying the vertical and horizontal codeword vectors at the previous time instant by a predetermined vertical and horizontal rotation matrix, respectively.
17. The wireless communication device of claim 16, wherein the predetermined vertical rotation matrix and horizontal rotation matrix are determined based on channel time correlation coefficients.
18. The wireless communication device of claim 15, wherein the vertical codeword vector and the horizontal codeword vector at the initial time instance are determined based on a vertical basis codebook and a horizontal basis codebook.
19. The wireless communication device of claim 18, wherein the vertical base codebook and the horizontal base codebook are Discrete Fourier Transform (DFT) codebooks.
20. The wireless communication device of claim 15, wherein selecting the vertical and horizontal codeword vectors for the current time instance is selected based on a minimum chordal distance criterion.
21. The wireless communication device of claim 15, the instructions when executed further causing the processor to: and sending the index information corresponding to the vertical code word vector and the horizontal code word vector of the current moment to a base station.
22. A wireless communication apparatus for use on a base station side, comprising:
a processor; and
a memory to store instructions that, when executed, cause the processor to:
receiving index information from a user terminal;
recovering the vertical code word vector and the horizontal code word vector of the current moment corresponding to the index information from the vertical code book and the horizontal code book of the current moment; and
and calculating a vertical differential codebook and a horizontal differential codebook at the next moment based on the vertical codeword vector and the horizontal codeword vector at the current moment.
23. The wireless communication device of claim 22, wherein:
at an initial moment, the vertical codebook and the horizontal codebook at the current moment are respectively a vertical basic codebook and a horizontal basic codebook; and
and when the current time is not the initial time, the vertical codebook and the horizontal codebook at the current time are respectively a vertical differential codebook and a horizontal differential codebook.
24. The wireless communication device of claim 23, wherein the vertical base codebook and the horizontal base codebook are Discrete Fourier Transform (DFT) codebooks.
25. The wireless communication device of claim 22, wherein the vertical and horizontal differential codebooks at the next time instant are obtained by multiplying the vertical and horizontal codeword vectors at the current time instant by a predetermined vertical and horizontal rotation matrix, respectively.
26. The wireless communication device of claim 25, wherein the predetermined vertical rotation matrix and horizontal rotation matrix are determined based on channel time correlation coefficients.
27. The wireless communication device of claim 22, the instructions when executed further causing the processor to: and calculating the precoding vector of the current moment based on the vertical code word vector and the horizontal code word vector of the current moment.
28. The wireless communication device of claim 27, wherein calculating the precoding vector for the current time instance is calculated using a Kronecker product operation based on a vertical codeword vector and a horizontal codeword vector for the current time instance.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2011002260A2 (en) * | 2009-07-03 | 2011-01-06 | Samsung Electronics Co., Ltd. | Rotating reference codebook that is used in a multiple-input multiple-output (mimo) communication system |
| CN103684700A (en) * | 2013-12-31 | 2014-03-26 | 重庆邮电大学 | 3D (three-dimensional) MU-MIMO (multiple user-multiple input multiple output) precoding method based on orthogonal joint codebook set |
| CN103731244A (en) * | 2014-01-03 | 2014-04-16 | 东南大学 | Method for designing double-codebook difference in LTE-A terminal feedback system |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9112562B2 (en) * | 2008-09-02 | 2015-08-18 | Intel Corporation | Techniques utilizing adaptive codebooks for beamforming in wireless networks |
| CN103220087B (en) * | 2010-01-16 | 2017-06-06 | 华为技术有限公司 | The method and apparatus for obtaining pre-coding matrix instruction and pre-coding matrix |
| CN102195691B (en) * | 2010-03-15 | 2013-12-04 | 华为技术有限公司 | Codebook generation method, device and system for multiple-input multiple-output system |
-
2017
- 2017-01-05 CN CN201710007435.2A patent/CN108282203B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2011002260A2 (en) * | 2009-07-03 | 2011-01-06 | Samsung Electronics Co., Ltd. | Rotating reference codebook that is used in a multiple-input multiple-output (mimo) communication system |
| CN103684700A (en) * | 2013-12-31 | 2014-03-26 | 重庆邮电大学 | 3D (three-dimensional) MU-MIMO (multiple user-multiple input multiple output) precoding method based on orthogonal joint codebook set |
| CN103731244A (en) * | 2014-01-03 | 2014-04-16 | 东南大学 | Method for designing double-codebook difference in LTE-A terminal feedback system |
Non-Patent Citations (1)
| Title |
|---|
| 《LTE-A 终端反馈系统中双码本差分设计》;赵晶晶 ，许威 ，曹源;《中国科技论文》;20140730;1-3 * |
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