WO2008097035A1 - Codebook generating method and apparatus for generating a codebook for multi-polarized multiple-input multiple-output (mimo) systems - Google Patents

Codebook generating method and apparatus for generating a codebook for multi-polarized multiple-input multiple-output (mimo) systems Download PDF

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Publication number
WO2008097035A1
WO2008097035A1 PCT/KR2008/000739 KR2008000739W WO2008097035A1 WO 2008097035 A1 WO2008097035 A1 WO 2008097035A1 KR 2008000739 W KR2008000739 W KR 2008000739W WO 2008097035 A1 WO2008097035 A1 WO 2008097035A1
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matrix
precoding matrix
rotated
precoding
diagonal
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PCT/KR2008/000739
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French (fr)
Inventor
Bruno Clerckx
Yongxing Zhou
Goo Chul Chung
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Samsung Electronics Co., Ltd.
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Priority to JP2009548996A priority Critical patent/JP2010518726A/en
Priority to CN2008800071616A priority patent/CN101675599B/en
Priority to EP18213471.8A priority patent/EP3493416B1/en
Priority to ES08712390T priority patent/ES2712913T3/en
Priority to EP08712390.7A priority patent/EP2111695B1/en
Priority to PL08712390T priority patent/PL2111695T3/en
Publication of WO2008097035A1 publication Critical patent/WO2008097035A1/en

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03891Spatial equalizers
    • H04L25/03898Spatial equalizers codebook-based design
    • H04L25/03904Spatial equalizers codebook-based design cooperative design, e.g. exchanging of codebook information between base stations
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413MIMO systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413MIMO systems
    • H04B7/0417Feedback systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413MIMO systems
    • H04B7/0456Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413MIMO systems
    • H04B7/0456Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H04B7/046Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting taking physical layer constraints into account
    • H04B7/0469Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting taking physical layer constraints into account taking special antenna structures, e.g. cross polarized antennas into account
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613Diversity 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
    • H04B7/0615Diversity 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
    • H04B7/0619Diversity 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
    • H04B7/0621Feedback content
    • H04B7/063Parameters other than those covered in groups H04B7/0623 - H04B7/0634, e.g. channel matrix rank or transmit mode selection
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613Diversity 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
    • H04B7/0615Diversity 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
    • H04B7/0619Diversity 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
    • H04B7/0636Feedback format
    • H04B7/0639Using selective indices, e.g. of a codebook, e.g. pre-distortion matrix index [PMI] or for beam selection
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/10Polarisation diversity; Directional diversity
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03891Spatial equalizers
    • H04L25/03898Spatial equalizers codebook-based design
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03891Spatial equalizers
    • H04L25/03898Spatial equalizers codebook-based design
    • H04L25/0391Spatial equalizers codebook-based design construction details of matrices

Definitions

  • aspects of the present invention relate to a multiple-input multiple-output (MIMO) system, and more particularly, to a codebook of precoding matrices for use in MIMO systems and a method of generating a codebook for use in such MIMO systems.
  • MIMO multiple-input multiple-output
  • MIMO multiple-input multiple- output
  • MIMO technology offers significant increases in channel capacities with limited frequency resources and in data transmission rates by using multiple antennas at both the transmitter and the receiver.
  • MIMO systems a number of antennas are used when scattering conditions are substantial, and theoretically, MIMO systems provide channel capacities proportional to the number of antennas.
  • MIMO technology can serve as an important component of the next generation mobile communication systems, such as 3 rd Generation Partnership Project (3GPP), Super 3G (or 3G Long Term Evolution "LTE”), 3GPP2 and upcoming 4G systems, particularly, for the downlink from a single base station to multiple user equipments.
  • 3GPP 3 rd Generation Partnership Project
  • Super 3G or 3G Long Term Evolution "LTE”
  • 3GPP2 3 rd Generation Partnership Project2
  • 4G systems particularly, for the downlink from a single base station to multiple user equipments.
  • Precoding represents multi-layer beamforming in which a transmission signal (data) is emitted from each of the antennas in accordance with a data precoding rule, i.e., appropriate phase (and gain) weighting such that the signal power is maximized at the receiver input and the multipath fading effect is minimized.
  • the weight can be expressed in terms of a precoding matrix (i.e., a set of beam-forming vectors) and is selected from a set of precoding matrices in a codebook.
  • aspects of the present invention provide a method and apparatus for generating a codebook for a multi-polarized multiple-input multiple-output (MIMO) system that can generate a precoding matrix using a single-polarized precoding matrix even when the polarization of antennas is multi-polarization, and thereby obtain an excellent precoding matrix that is easily generated.
  • MIMO multi-polarized multiple-input multiple-output
  • aspects of the present invention also provide a method and apparatus for generating a codebook in a multi-polarized MIMO system that can reconstruct a precoding matrix according to a transmission rank.
  • aspects of the present invention also provide a method and apparatus for generating a codebook in a multi-polarized MIMO system that can generate a rotated matrix when the polarization direction of transmitting antennas is rotated, which can flexibly cope with a change in the polarization direction.
  • a method of generating a codebook for use in a multi-polarized MIMO including: assigning a single-polarized precoding matrix to each of diagonal blocks among a plurality of blocks arranged in a block diagonal structure in which a number of diagonal blocks corresponds to a number of polarization directions of transmitting antennas; and assigning a zero matrix to each of remaining blocks excluding the diagonal blocks within the block diagonal structure.
  • the codebook generation method may further include: generating a precoding matrix for multi-polarized MIMO by combining the single-polarized precoding matrices assigned to the diagonal blocks and the zero matrices assigned to the remaining blocks within the block diagonal structure.
  • the codebook generation method may further include: reconstructing the precoding matrix by selecting, from the precoding matrix, at least one column vector according to a transmission rank corresponding to a number of data streams to be transmitted.
  • the codebook generation method may further include: generating a rotated precoding matrix using the precoding matrix and a rotated matrix corresponding to a rotated angle of the polarization direction when the polarization direction of transmitting antennas is rotated.
  • the codebook generation method may further include: adjusting a phase of each of elements included in the reordered matrix using a diagonal matrix.
  • an apparatus for generating a codebook for multi-polarized MIMO including: a single-polarized precoding matrix assignment unit to assign a single-polarized precoding matrix to each of diagonal blocks among a plurality of blocks arranged in a block diagonal structure in which a number of diagonal blocks corresponds to a number of polarization directions of transmitting antennas; and a zero matrix assignment unit to assign a zero matrix to each of remaining blocks excluding the diagonal blocks within the block diagonal structure.
  • FIGs. 1-3 illustrate multi-polarized transmitting/receiving antennas in a MIMO system according to example embodiments of the present invention
  • FIG. 4 is a flowchart illustrating a method of generating a codebook of precoding matrices for use in a multi-polarized MIMO system according to an example embodiment of the present invention
  • FIG. 5 illustrates a precoding matrix for use in a multi-polarized MIMO system according to an example embodiment of the present invention
  • FIG. 6 illustrates precoding matrices where a discrete Fourier transform (DFT) precoding matrix is assigned to diagonal blocks in a multi-polarized MIMO system according to an example embodiment of the present invention.
  • DFT discrete Fourier transform
  • FIG. 7 is a block diagram illustrating a codebook generation apparatus for generating a codebook of precoding matrices for use in a multi-polarized MIMO system according to an example embodiment of the present invention.
  • a DFT codebook providing a DFT precoding matrix for use in a single-polarized MIMO system may be represented as follows:
  • DFT precoding matrices M is a number of transmitting antennas
  • is a DFT codebook that is a set of DFT precoding matrices
  • the DFT codebook includes
  • DFT precoding matrices includes M column vectors.
  • each of the DFT precoding matrices is an M x M matrix
  • U m-1 is a vector having m elements and may be a column vector having a size of M x 1.
  • each DFT precoding matrix is an M x M matrix.
  • each of the M x M DFT precoding matrices includes M column vectors.
  • Each column vector may be an M x 1 column vector, and elements of the column vector may be determined as in the above Equation 2.
  • the DFT precoding matrix may include two matrices given as follows,
  • a rotated DFT codebook is a set of rotated DFT precoding matrices for use in a single-polarized MIMO system.
  • Such a rotated DFT codebook may be represented as follows:
  • An I th rotated DFT precoding matrix may be represented as follows: [46] [Equation 5] [47]
  • DFT h is a DFT precoding matrix in the single-polarized MIMO system.
  • the rotated DFT precoding matrix DFT M is generated by rotating all the elements, included in each of rows of the DFT precoding matrix, by a particular phase.
  • a transmitting antenna located at a transmitter side transmits a data signal, via a wireless channel, to a receiving antenna located at a receiver side.
  • the wireless channel may be referred to as a channel matrix H.
  • the channel matrix H may be modeled as
  • FIGS. 1-3 various combinations of dual-polarized transmitting/ receiving antennas for multi-polarized MIMO channels according to example embodiments of the present invention are illustrated.
  • a MIMO system 110 includes two transmitting antennas (2Tx) 111 and 112 arranged at a transmitter side, and two receiving antennas (2Rx) 113 and 114 arranged at a receiver side.
  • the two transmitting antennas 111 and 112 are perpendicular to each other. Accordingly, the polarization directions of signals transmitted, via a wireless channel (i.e., channel matrix H), by the transmitting antennas 111 and 112 are orthogonal to each other.
  • a wireless channel i.e., channel matrix H
  • Precoding matrix X may be represented as follows: [56]
  • depolarization factor can be thought of as a global XPD (cross polarization discrimination) of the antennas and the channel.
  • the exact value of the depolarization factor can be difficult to quantify as it depends upon many factors and will vary from one wireless environment to another.
  • Such a depolarization factor can cover the wide range of values of values
  • another MIMO system 120 includes four transmitting antennas (4Tx) 121, 122, 123, and 124 arranged at a transmitter side, and two receiving antennas (2Rx) 125 and 126 arranged at a receiver side.
  • the polarized directions of signals transmitted, via a wireless channel (i.e., channel matrix H), by two transmitting antennas 121 and 122 and remaining two transmitting antennas 123 and 124 are orthogonal to each other.
  • Precoding matrix X may be represented as follows: [60]
  • still another MIMO system 130 includes four transmitting antennas (4Tx) 131, 132, 133, and 134 arranged at a transmitter side, and four receiving antennas (4Rx) 135, 136, 137, and 138 arranged at a receiver side.
  • Precoding matrix X may be represented as follows: [63] [Equation 7] [64]
  • the first column and the second column of the matrix X correspond to two transmitting antennas (2Tx) 121 and 122, and the third column and the fourth column of the matrix X correspond to other two transmitting antennas (2Tx) 123 and 124.
  • the channel matrix H may be modeled as:
  • the precoding matrix X may be a 4x4 matrix, as shown in Equation 7.
  • the four transmitting antennas (4Tx) 131, 132, 133, and 134 transmit signals in two polarization directions.
  • the matrix X may be modeled as a precoding matrix having the two blocks in a diagonal direction.
  • depolarization factor may be modeled close to zero "0".
  • Tx transmitting antennas
  • Rx receiving antennas
  • x may be modeled close to one "1". Accordingly, when x changes from "0" to " 1", that is, within the range of O ⁇ X ⁇ l, the codebook should have excellent performance in both a single-polarized MIMO system and a multi- polarized MIMO system.
  • FIG. 4 is a flowchart illustrating a method of generating a codebook for use in a multi-polarized MIMO system according to an example embodiment of the present invention.
  • a codebook is provided with a set of unitary matrices designed not only for multi-polarized MIMO schemes, but also single-polarized MIMO schemes without any significant performance degradation.
  • the codebook for such multi- polarized MIMO can be constructed in a block diagonal structure, known as a block diagonal multi-polarized codebook.
  • a precoding matrix for use in a multi- polarized MIMO in such a block diagonal structure can be expressed in terms of M x N, where M indicates a number of transmitting antennas at a transmitter side and N indicates a number of data streams in the matrix X.
  • the size of such a matrix may be determined according to a transmission rank (spatial multiplexing rate) corresponding to at least one of the number of transmitting antennas and the number of data streams to be transmitted, via the wireless channels. For example, if the number of transmitting antennas (Tx) is four (4) and the transmission rank, that is, the number of data streams is also four (4), then the size of the matrix may be 4 x 4.
  • Such a matrix may be organized or modeled as having a plurality of blocks according to a number of polarization directions of transmitting antennas within a block diagonal structure. Blocks in a diagonal direction are known as diagonal blocks.
  • diagonal direction refers to a direction from an element of a first column and a first row to an element in an M th column and N" 1 row.
  • a 2 x 2 matrix that includes elements, included in either the first (1st) or second(2 nd ) column and also included in either the first (1st) or second(2 nd ) row of the matrix and another 2 x 2 matrix that includes elements, included in either the third (3rd) or fourth(4 th ) column and also included in either the third (3rd) or fourth(4 th ) row of the matrix, are characterized as "diagonal blocks.”
  • the total number of diagonal blocks may be two (2) and the total number of remaining blocks within the block diagonal structure may be two (2).
  • the total number of diagonal blocks may be three (3) and the total number of remaining blocks may be six (6).
  • a single-polarized precoding matrix is assigned to each of diagonal blocks among a plurality of blocks within the diagonal block structure.
  • Such a single-polarized precoding matrix is a precoding matrix designed for single-polarized MIMO.
  • the single -polarized precoding matrix assigned to the diagonal blocks in such a block diagonal multi-polarized codebook may include a DFT precoding matrix or a rotated DFT precoding matrix selected in a matrix codebook designed for single-polarized MIMO, e.g., the DFT codebook or the rotated DFT codebook or any other matrix codebook. Any one of the DFT precoding matrix and the rotated DFT precoding matrix may be assigned to diagonal blocks.
  • the size of the single-polarized precoding matrix may be determined according to the number of transmitting antennas (Tx) having the same polarization direction. For example, it is assumed that the total number of transmitting antennas (Tx) is eight (8), and the polarization direction by two transmitting antennas (2Tx) is a direction x and the polarization direction by the remaining six transmitting antennas (6Tx) is a direction y. In this case, the direction x is perpendicular to the direction y. Also, the number of polarization directions is two (2), that is, the directions x and y. Accordingly, the precoding matrix for multi-polarized MIMO may have two diagonal blocks.
  • the number of rows of the single-polarized precoding matrix that are assigned to one diagonal block may be six (6) and the number of rows of the single-polarized precoding matrix that are assigned to the remaining one diagonal block may be two (2).
  • the transmission rank is eight (8), more specifically, if the transmission rank of two antennas having the direction x as the polarization direction is two (2) and the transmission rank of six antennas having the direction y as the polarization direction is six (6), a 2 x 2 single-polarized precoding matrix may be assigned to any one of two diagonal blocks and a 6 x 6 single-polarized precoding matrix may be assigned to the other one of the two diagonal blocks.
  • the zero matrix of which all the elements are '0' is assigned to blocks that are not the diagonal blocks among the blocks that are obtained within the block diagonal structure according to the number of polarization directions of transmitting antennas.
  • a precoding matrix for multi-polarized MIMO i.e., a block diagonal multi-polarized codebook is then generated by combining the single-polarized precoding matrices assigned to the diagonal blocks and the zero matrices assigned to the remaining blocks within the block diagonal structure.
  • the codebook for the multi-polarized MIMO system may include a 4 x 4 matrix as provided, for example, by:
  • Multi-polarized precoding matrices may be generated by randomly combining the two DFT precoding matrices of Equation 3, for example, assigned to the diagonal blocks with the two zero matrices assigned to the remaining blocks within the block diagonal structure .
  • the precoding matrix for the multi-polarized MIMO system may be generated by organizing the precoding matrix into the plurality of blocks according to the number of polarization directions of transmitting antennas, and assigning the single-polarized precoding matrix to the diagonal blocks among all blocks. The zero matrix is then assigned to each of the remaining blocks within the block diagonal structure.
  • the size of the precoding matrix for multi-polarized MIMO may be 4 x 4.
  • the precoding matrix may be organized into a total of four (4) blocks according to the number of polarization directions.
  • the precoding matrix for multi-polarized MIMO (block diagonal multi-polarized codebook) is then generated by assigning the single-polarized precoding matrix to each of the two (2) diagonal blocks and assigning the zero matrix to each of the two (2) remaining blocks that are not the two (2) diagonal blocks within the block diagonal structure.
  • the precoding matrix (block diagonal multi-polarized codebook) is then reconstructed by selecting, from the same precoding matrix, at least one column vector according to a transmission rank corresponding to a number of data streams to be transmitted, via the wireless channel.
  • the 4 x 4 precoding matrix is given by:
  • the precoding matrix of Equation 9 may be reconstructed to generate six precoding matrices having a size of 4 x 2, as given by:
  • an M x M precoding matrix may be generated. Also, an M x r precoding matrix may be generated by selecting column vectors according to the transmission rank and reconstructing the precoding matrix.
  • unnecessary column vectors may be removed from the precoding matrix by reconstructing the precoding matrix according to the transmission rank, and thus a codebook may be efficiently generated.
  • a rotated precoding matrix is generated using the precoding matrix and a rotated matrix.
  • the rotated matrix may correspond to a rotated angle of polarization direction of transmitting antennas (Tx).
  • the array structure of transmitting antennas may be variously embodied.
  • transmitting antennas corresponding to one polarization direction may be installed vertically with respect to a reference plane and transmitting antennas corresponding to another polarization direction may be installed horizontally with respect to the reference plane.
  • the transmitting antennas corresponding to one polarization direction may be installed in a direction of +45 degrees with respect to the reference plane and transmitting antennas corresponding to the other polarization direction may be installed in a direction of -45 degrees with respect to the reference plane.
  • the rotated precoding matrix may be generated by rotating the precoding matrix.
  • the rotated precoding matrix may be generated by multiplying the precoding matrix and the rotated matrix.
  • the rotated precoding matrix W VV RBD that is generated by rotating the precoding matrix W VV BD may be represented as follows: [102] [Equation 12]
  • the rotated matrix u rrt may be determined to correspond to the rotated angle of polarization direction of transmitting antennas.
  • the rotated precoding matrix may be readily generated using the rotated matrix.
  • a reordered matrix is obtained by reordering column vectors that are included in the precoding matrix, and the reordered matrix and the rotated matrix are used to generate a rotated precoding matrix.
  • the precoding matrix For example, it is assumed that when two respective transmitting antennas among four transmitting antennas are installed in a direction of +45 degrees and in a direction of -45 degrees with respect to the reference plane, the precoding matrix
  • W may be represented as follows:
  • the rotated precoding matrix W VV RBD may be generated and a data stream may be beam formed using the rotated precoding matrix
  • Equation 13 W W W BD of Equation 13 may be generated like Equation 15.
  • a phase of each of elements included in the reordered matrix is adjusted.
  • the phase of each of elements included in the reordered matrix may be adjusted using a diagonal matrix.
  • the diagonal matrix includes diagonal elements.
  • the phase of each of the diagonal elements may be the same or different from each other.
  • the amplitude of each diagonal element is set to T.
  • the amplitude of each of remaining elements, excluding the diagonal elements, is set to '0'.
  • the diagonal matrix is associated with a modulation scheme of data symbols, instead of increasing channel capacities of the MIMO system, and the like.
  • the diagonal matrix may change only the phase of the data symbol, but may not affect channel capacities of the MIMO system.
  • W may be adjusted like Equation 17 below, and data symbols may be beam formed by using
  • Equation 17 is given by:
  • aspects of the present invention may be recorded in computer-readable media including program instructions to implement various operations embodied by a computer.
  • the media may also include, alone or in combination with the program instructions, data files, data structures, and the like.
  • Examples of computer-readable media include magnetic media such as hard disks, floppy disks, and magnetic tape; optical media such as CD ROM disks and DVD; magneto-optical media such as optical disks; and hardware devices that are specially configured to store and perform program instructions, such as read-only memory (ROM), random access memory (RAM), flash memory, and the like.
  • Examples of program instructions include both machine code, such as produced by a compiler, and files containing higher level code that may be executed by the computer using an interpreter.
  • the described hardware devices may be configured to act as one or more software modules in order to perform the operations of the above-described embodiments of the present invention.
  • FIG. 5 illustrates a precoding matrix for use in a multi-polarized MIMO system according to an example embodiment of the present invention.
  • U indicates a precoding matrix for the multi-polarized MIMO system.
  • Matrices such as an 'A' matrix 310 and a 'B' matrix 320, as shown in FIG. 5, indicate a single-polarized precoding matrix, that is, a precoding matrix selected from a matrix codebook designed for single-polarized MIMO, e.g., DFT codebook or rotated DFT codebook or any other matrix codebook, and two 'O' matrices 330 and 340 indicate zero matrices.
  • the 'A' matrix 310 and the 'B' matrix 320 are assigned to the diagonal blocks respectively.
  • the 'O' matrices 330 and 340 that is, zero matrices, are assigned to the remaining blocks respectively.
  • the size of the 'A' matrix 310 and the 'B' matrix 320 may be determined according to the number of transmitting antennas having the same polarization direction.
  • the number of polarization directions of transmitting antennas may be two (2). Also, it may be assumed that when a total number of transmitting antennas is four (4), the polarization direction of two transmitting antennas is the direction x and the polarization direction of the remaining two transmitting antennas is the direction y.
  • the 'A' matrix 310 may be a single-polarized precoding matrix corresponding to the polarization direction of the direction x. Since the number of transmitting antennas having a polarization direction in the direction x is two (2), the number of rows of the 'A' matrix 310 may be two (2). Also, the number of rows of the 'B' matrix 320 may be two (2).
  • the number of rows of the 'A' matrix 310 may be two (2).
  • the number of rows of the 'B' matrix 320 may be two (2).
  • FIG. 6 illustrates single-polarized precoding matrices, such as, DFT precoding matrices assigned to diagonal blocks in a multi-polarized MIMO system according to an example embodiment of the present invention.
  • W 1 RD 3 I and W are precoding matrices when the number of transmitting antennas is four (4), the number of polarization directions of transmitting antennas is two (2), and the number of transmitting antennas having the same polarization direction is two (2).
  • W 1 can be represented as follows:
  • W reorder,BD,8 that are generated by reordering column vectors included in the precoding matrices W " 1 RD 3 I and
  • the reordered matrices may be multiplied by a diagonal matrix.
  • diagonal elements of the diagonal matrix are complex numbers that have the size of 1, and remaining elements are 0.
  • the diagonal matrix does not affect channel capacities or beam forming performance, and is associated with a modulation scheme of data symbols.
  • phase of each element included in the reordered matrices using random diagonal matrices may be adjusted as shown in Equation 20.
  • D. may be random complex numbers that have the , magnitude 1.
  • a rotated precoding matrix W RBD,i may be generated from
  • RBD 4 may be given by:
  • Equation 20 may be represented as follows:
  • Equation 22 when transmitting antennas corresponding to one polarization direction are installed in a direction of +45 degrees with respect to the reference plane and transmitting antennas corresponding to another polarization direction are installed in a direction of -45 degrees with respect to the reference plane, four (4) rotated precoding matrices may be generated using the rotated matrix.
  • four rotated precoding matrices are expressed in Equation 22, it will be apparent to those of ordinary skills in the art that various types of rotated precoding matrices may be generated using the technical spirits of the present invention.
  • WRBD,L may be represented as follows:
  • SDMA space-division multiple access
  • the precoding matrices disclosed in Equation 24 are based on when a transmission rank is 4, but it is possible to generate precoding matrices corresponding to various types of transmission ranks by selecting column vectors of the precoding matrices disclosed in Equation 24.
  • the base station (BS) and terminals may store the codebook of matrices of Equation 24 in a computer-readable recording medium, etc.
  • each of the terminals may select any one of the stored matrices in response to the pilot signal.
  • each of the terminals may select any one matrix based on the state of a wireless channel formed between each of the terminals and the base station, and also may select any one matrix based on an achievable data transmission rate.
  • each of the terminals may select any one color vector from column vectors included in the selected matrix.
  • the terminals may feed back to the base station information associated with the selected matrix, or information associated with the selected column vector.
  • the information associated with the selected matrix may be index information of the selected matrix and the information associated with the selected column vector may be index information of the selected column vector.
  • the base station (BS) may select any one of the matrices disclosed in Equation 24, as a precoding matrix, based on the information fed back from the terminals.
  • the base station may select the precoding matrix according to a Per-User Unitary Rate Control (PU2RC) scheme.
  • the base station (BS) may perform precoding (beam- forming) on a data stream to be transmitted, via transmitting antennas, using the selected precoding matrix.
  • a terminal may include a signal receiver to receive a pilot signal transmitted from a base station; a codebook storage unit to store a codebook including at least one
  • a selector to select a target matrix from the stored at least one w. in response to the pilot signal; and an information feedback unit to feed back in- formation associated with the target matrix to the base station.
  • the selector may select the target matrix from the stored codebook including at least one
  • the selector may select the target matrix from the stored codebook including at least one
  • the selector selects the target matrix from the stored codebook including at least one
  • a base station may include a codebook storage unit to store a codebook including at least one
  • an inforaiation receiver to receive information associated with a matrix selected by a terminal from the stored codebook including at least one
  • a matrix selector to select a precoding matrix based on information associated with the selected matrix
  • a precoder to perform precoding on a data stream to be transmitted using the selected precoding matrix
  • the information receiver may receive information associated with matrices corresponding to a plurality of terminals, in which the matrices are selected by the plurality of terminals respectively, the matrix selector may select the precoding matrix based on information associated with the matrices corresponding to the plurality of terminals.
  • FIG. 7 a block diagram of a codebook generation apparatus for generating a codebook of precoding matrices for use in a multi-polarized MIMO system according to an example embodiment of the present invention is illustrated.
  • the codebook generation apparatus includes a single-polarized precoding matrix assignment unit 510, a zero matrix assignment unit 520, a precoding matrix generation unit 530, a precoding matrix reconstruction unit 540, a rotated precoding matrix generation unit 550, and a phase adjustment unit 560.
  • the single-polarized precoding matrix assignment unit 510 assigns a single -polarized precoding matrix to each of diagonal blocks among a plurality of blocks within a block diagonal structure.
  • the blocks are organized according to a number of polarization directions of transmitting antennas.
  • the zero matrix assignment unit 520 assigns a zero matrix to remaining blocks excluding the diagonal blocks within the block diagonal structure.
  • the precoding matrix generation unit 530 generates a precoding matrix for multi- polarized MIMO (i.e., a block diagonal multi-polarized codebook) by combining the single-polarized precoding matrices assigned to the diagonal blocks and the zero matrices assigned to the remaining blocks within the block diagonal structure.
  • a precoding matrix for multi- polarized MIMO i.e., a block diagonal multi-polarized codebook
  • the precoding matrix reconstruction unit 540 reconstructs the precoding matrix by selecting, from the precoding matrix, at least one column vector according to a transmission rank corresponding to a number of data streams to be transmitted.
  • the rotated precoding matrix generation unit 550 generates a rotated precoding matrix using the precoding matrix and a rotated matrix corresponding to a rotated angle of the polarization direction when the polarization direction of transmitting antennas is rotated.
  • the rotated precoding matrix generation unit 550 may generate a reordered matrix by reordering column vectors that are included in the precoding matrix, and generates the rotated precoding matrix by using the reordered matrix and the rotated matrix.
  • the phase adjustment unit 560 adjusts a phase of each of elements included in the reordered matrix using a diagonal matrix.
  • Matrices included in a precoding matrix (block diagonal multi-polarized codebook) that is generated according to an aspect of the present invention will be stored in various types of communication apparatuses and used.
  • a communication apparatus may transmit and receive data in a space division multiple access (SDMA) communication system by using a matrix that is generated according to an aspect of the present invention.
  • the communication apparatus may include various types of devices for the SDMA communication system, such as a base station, a repeater, a terminal, and the like.
  • a communication apparatus may store a precoding matrix (block diagonal multi-polarized codebook) that is generated by assigning a single-polarized precoding matrix to diagonal blocks among a plurality of blocks within a block diagonal structure that are divided or organized according to the number of polarization directions of transmitting antennas, and assigning a zero matrix to remaining blocks excluding the diagonal blocks within the block diagonal structure.
  • a precoding matrix block diagonal multi-polarized codebook
  • the precoding matrix (block diagonal multi-polarized codebook) may be generated by combining the single-polarized precoding matrices assigned at diagonal blocks and the zero matrices assigned at remaining blocks within the block diagonal structure.
  • a communication apparatus may store a matrix that is reconstructed by selecting, from the precoding matrix, at least one column vector according to a transmission rank corresponding to a number of data streams to be transmitted.
  • a communication apparatus may store a rotated precoding matrix that is generated using the precoding matrix and a rotated matrix corresponding to a rotated angle of the polarization direction when the polarization direction of transmitting antennas is rotated.
  • a communication apparatus may generate a reordered matrix by reordering column vectors that are included in the precoding matrix, and store a matrix that is generated by using the reordered matrix and the rotated matrix.
  • the base station may transmit a transmission signal that beam forms a data stream using matrices included in the base station (BS).
  • the base station (BS) may include a codebook storage unit that stores a codebook of matrices according to the present invention and a beamformer that beam forms data streams using the stored matrices.
  • the terminal may generate feedback data using matrices selected from a codebook stored in the terminal.
  • the feedback data is used when the base station (BS) performs beam- forming in which multiple data streams are emitted from transmitting antennas in accordance with matrices selected from a codebook stored in the terminal.
  • the terminal may include a codebook storage unit that stores a codebook of matrices according to the present invention and a feedback data generation unit that generates feedback data corresponding to a wireless channel of the base station using the stored matrices.
  • a method and apparatus for generating a codebook for a multi-polarized MIMO system that can generate a precoding matrix using a single-polarized precoding matrix even when the polarization of antennas is multi-polarization, and thereby generate an excellent precoding matrix that is easily generated.
  • Such a codebook can be shared by a transmitter end and a receiver end.
  • a method and apparatus for generating a codebook in a multi-polarized MIMO system that can reconstruct a precoding matrix according to a transmission rank and thereby can more effectively generate a codebook.
  • a method and apparatus for generating a codebook in a multi-polarized MIMO system that can generate a rotated matrix when the polarization direction of transmitting antennas is rotated, and thereby can more flexibly cope with a change in the polarization direction.
  • Various components of the codebook generation apparatus can be integrated into a single control unit, such as a baseband processor or controller located at a transmitter side, for example, a base station, or alternatively, can be implemented in software or hardware, such as, for example, a field programmable gate array (FPGA) and an application specific integrated circuit (ASIC).
  • a single control unit such as a baseband processor or controller located at a transmitter side, for example, a base station
  • FPGA field programmable gate array
  • ASIC application specific integrated circuit
  • software modules can be written, via a variety of software languages, including C, C++, Java, Visual Basic, and many others.
  • These software modules may include data and instructions which can also be stored on one or more machine-readable storage media, such as dynamic or static random access memories (DRAMs or SRAMs), erasable and programmable read-only memories (EPROMs), electrically erasable and programmable read-only memories (EEPROMs) and flash memories; magnetic disks such as fixed, floppy and removable disks; other magnetic media including tape; and optical media such as compact discs (CDs) or digital video discs (DVDs). Instructions of the software routines or modules may also be loaded or transported into the wireless cards or any computing devices on the wireless network in one of many different ways.
  • DRAMs or SRAMs dynamic or static random access memories
  • EPROMs erasable and programmable read-only memories
  • EEPROMs electrically erasable and programmable read-only memories
  • flash memories such as fixed, floppy and removable disk
  • code segments including instructions stored on floppy discs, CD or DVD media, a hard disk, or transported through a network interface card, modem, or other interface device may be loaded into the system and executed as corresponding software routines or modules.
  • data signals that are embodied as carrier waves may communicate the code segments, including instructions, to the network node or element.
  • carrier waves may be in the form of electrical, optical, acoustical, electromagnetic, or other types of signals.
  • the codebook generating method as shown in FIG. 4 may be recorded in computer-readable media including program instructions to implement various operations embodied by a computer.
  • the media may also include, alone or in combination with the program instructions, data files, data structures, and the like.
  • Examples of computer-readable media include magnetic media such as hard disks, floppy disks, and magnetic tape; optical media such as CD ROM disks and DVD; magneto-optical media such as optical disks; and hardware devices that are specially configured to store and perform program instructions, such as read-only memory (ROM), random access memory (RAM), flash memory, and the like.
  • the media may also be a transmission medium such as optical or metallic lines, wave guides, and the like, including a carrier wave transmitting signals specifying the program instructions, data structures, and the like.
  • Examples of program instructions include both machine code, such as produced by a compiler, and files containing higher level code that may be executed by the computer using an interpreter.
  • the described hardware devices may be configured to act as one or more software modules in order to perform the operations of the above-described embodiments of the present invention. While there have been illustrated and described what are considered to be example embodiments of the present invention, it will be understood by those skilled in the art and as technology develops that various changes and modifications, may be made, and equivalents may be substituted for elements thereof without departing from the true scope of the present invention. Many modifications, permutations, additions and sub- combinations may be made to adapt the teachings of the present invention to a particular situation without departing from the scope thereof.
  • the antenna arrangement shown in FIGs. 1-3, typically includes a transmitter side provided with transmitting antennas Xi...
  • a base station known as "Node-B” as specified in accordance with 3GPP, 3GPP2 and 4G specifications, is used at the transmitter end to transmit data, via wireless channels.
  • UEs User equipments
  • MS mobile stations
  • UE can be, for example, mobile phones (handsets), personal digital assistants (PDAs), or other devices such as wireless cards in laptop computers or computers with internet wireless connectivity, WiFi and WiMAX gadgets etc.
  • the wireless network can be that of any of the wireless communication technologies, including, but not limited to GSM (Global System for Mobile Communications), CDMA (Code Division Multiple Access), WLL (Wireless Local Loop), WAN (Wide Area Network), WiFi, and WiMAX (Worldwide Interoperability for Microwave Access based on IEEE 802.16 standards), and is applicable with many existing and emerging wireless standards such as IEEE 802.11 (for wireless local area networks), IEEE 802.16 (for wireless metropolitan area networks) and IEEE 802.02 (for mobile broadband wireless access).
  • the base station (BS) can also be an IEEE 802.11 access point (AP) and the UE can also be any client station.
  • the base station can also be implemented with a GERAN (GSM/EDGE radio access technology) in a UTRAN (UMTS Terrestrial Radio Access Network) using a wideband code division multiple access (WCDMA) technology.
  • GSM Global System for Mobile Communications
  • GPRS General Packet Radio Service
  • E-GPRS EDGE GPRS
  • CDMA2000 CDMA, Code Division Multiple Access
  • US-TDMA US Time Division Multiple Access
  • IS-95 IS-95

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Abstract

A method of generating a codebook for a multiple-input multiple-output (MIMO) system is provided. The codebook generation method includes: assigning a single-polarized precoding matrix to diagonal blocks among a plurality of blocks arranged in a block diagonal format in which a number of diagonal blocks corresponds to a number of polarization directions of transmitting antennas; and assigning a zero matrix to remaining blocks excluding the diagonal blocks.

Description

Description CODEBOOK GENERATING METHOD AND APPARATUS FOR
GENERATING A CODEBOOK FOR MULTI-POLARIZED MULTIPLE-INPUT MULTIPLE- OUTPUT (MIMO) SYSTEMS
Technical Field
[1] Aspects of the present invention relate to a multiple-input multiple-output (MIMO) system, and more particularly, to a codebook of precoding matrices for use in MIMO systems and a method of generating a codebook for use in such MIMO systems. Background Art
[2] Currently, wireless communication technologies for providing a variety of multimedia services in wireless communication environments are expanding. Highspeed data transmission is needed to provide high quality multimedia services in wireless communication systems. Accordingly, various research has been conducted to support high-speed data transmission in such wireless communication systems. A recent proposal to achieve high-speed data transmission relates to the use of multiple antennas at both the transmitter and the receiver, known as multiple-input multiple- output (MIMO) systems.
[3] MIMO technology offers significant increases in channel capacities with limited frequency resources and in data transmission rates by using multiple antennas at both the transmitter and the receiver. In such MIMO systems, a number of antennas are used when scattering conditions are substantial, and theoretically, MIMO systems provide channel capacities proportional to the number of antennas. Such MIMO technology can serve as an important component of the next generation mobile communication systems, such as 3rd Generation Partnership Project (3GPP), Super 3G (or 3G Long Term Evolution "LTE"), 3GPP2 and upcoming 4G systems, particularly, for the downlink from a single base station to multiple user equipments.
[4] However, when MIMO technology is deployed, the physical space and area for installing antennas may be limited. Communication systems using MIMO technology are highly affected by spacing between antennas. Specifically, as the spacing between antennas becomes smaller, higher correlation between wireless channels can be generated. Particularly, when antennas have the same polarization, higher correlation between wireless channels can be generated. Correlation generated between wireless channels reduces reliability for data communication and also reduces data transmission rates.
[5] Accordingly, various methods of using the polarization direction of antennas are needed in order to reduce an area for installing multiple antennas and also to increase channel capacities. When multi-polarized antennas are used in MIMO systems, Correlation between wireless channels can be reduced.
[6] Coding operations, referred to as a precoding, are needed to effectively transmit data, via wireless channels, in MIMO systems to maximize system performance and capacity. Precoding represents multi-layer beamforming in which a transmission signal (data) is emitted from each of the antennas in accordance with a data precoding rule, i.e., appropriate phase (and gain) weighting such that the signal power is maximized at the receiver input and the multipath fading effect is minimized. The weight can be expressed in terms of a precoding matrix (i.e., a set of beam-forming vectors) and is selected from a set of precoding matrices in a codebook.
[7] Currently, there are various types of codebooks designed for the particular cases of single-polarized MIMO schemes where the polarization of antennas is single-polarization. However, no effective codebook has been offered in association with cases of multi-polarized MIMO schemes where the polarization of antennas is multi- polarization. Existing codebooks designed for single-polarized MIMO schemes cannot be optimized for multi-polarized MIMO schemes.
[8] Accordingly, there is a need for a method and apparatus for generating a codebook for a MIMO system with low complexity and excellent performance, even when the polarization of antennas is multi-polarization. Disclosure of Invention
Technical Problem
[9] Aspects of the present invention provide a method and apparatus for generating a codebook for a multi-polarized multiple-input multiple-output (MIMO) system that can generate a precoding matrix using a single-polarized precoding matrix even when the polarization of antennas is multi-polarization, and thereby obtain an excellent precoding matrix that is easily generated.
[10] Additional aspects and/or advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
[11] Aspects of the present invention also provide a method and apparatus for generating a codebook in a multi-polarized MIMO system that can reconstruct a precoding matrix according to a transmission rank.
[12] Aspects of the present invention also provide a method and apparatus for generating a codebook in a multi-polarized MIMO system that can generate a rotated matrix when the polarization direction of transmitting antennas is rotated, which can flexibly cope with a change in the polarization direction. Technical Solution [13] According to an aspect of the present invention, there is provided a method of generating a codebook for use in a multi-polarized MIMO, the method including: assigning a single-polarized precoding matrix to each of diagonal blocks among a plurality of blocks arranged in a block diagonal structure in which a number of diagonal blocks corresponds to a number of polarization directions of transmitting antennas; and assigning a zero matrix to each of remaining blocks excluding the diagonal blocks within the block diagonal structure.
[14] According to another aspect of the present invention, the codebook generation method may further include: generating a precoding matrix for multi-polarized MIMO by combining the single-polarized precoding matrices assigned to the diagonal blocks and the zero matrices assigned to the remaining blocks within the block diagonal structure.
[15] According to another aspect of the present invention, the codebook generation method may further include: reconstructing the precoding matrix by selecting, from the precoding matrix, at least one column vector according to a transmission rank corresponding to a number of data streams to be transmitted.
[16] According to another aspect of the present invention, the codebook generation method may further include: generating a rotated precoding matrix using the precoding matrix and a rotated matrix corresponding to a rotated angle of the polarization direction when the polarization direction of transmitting antennas is rotated.
[17] According to another aspect of the present invention, the codebook generation method may further include: adjusting a phase of each of elements included in the reordered matrix using a diagonal matrix.
[18] According to another aspect of the present invention, there is provided an apparatus for generating a codebook for multi-polarized MIMO, the apparatus including: a single-polarized precoding matrix assignment unit to assign a single-polarized precoding matrix to each of diagonal blocks among a plurality of blocks arranged in a block diagonal structure in which a number of diagonal blocks corresponds to a number of polarization directions of transmitting antennas; and a zero matrix assignment unit to assign a zero matrix to each of remaining blocks excluding the diagonal blocks within the block diagonal structure.
[19] In addition to the example embodiments and aspects as described above, further aspects and embodiments will be apparent by reference to the drawings and by study of the following descriptions.
Brief Description of the Drawings
[20] A better understanding of the present invention will become apparent from the following detailed description of example embodiments and the claims when read in connection with the accompanying drawings, all forming a part of the disclosure of this invention. While the following written and illustrated disclosure focuses on disclosing example embodiments of the invention, it should be clearly understood that the same is by way of illustration and example only and that the invention is not limited thereto. The spirit and scope of the present invention are limited only by the terms of the appended claims. The following represents brief descriptions of the drawings, wherein:
[21] FIGs. 1-3 illustrate multi-polarized transmitting/receiving antennas in a MIMO system according to example embodiments of the present invention;
[22] FIG. 4 is a flowchart illustrating a method of generating a codebook of precoding matrices for use in a multi-polarized MIMO system according to an example embodiment of the present invention;
[23] FIG. 5 illustrates a precoding matrix for use in a multi-polarized MIMO system according to an example embodiment of the present invention;
[24] FIG. 6 illustrates precoding matrices where a discrete Fourier transform (DFT) precoding matrix is assigned to diagonal blocks in a multi-polarized MIMO system according to an example embodiment of the present invention; and
[25] FIG. 7 is a block diagram illustrating a codebook generation apparatus for generating a codebook of precoding matrices for use in a multi-polarized MIMO system according to an example embodiment of the present invention. Mode for the Invention
[26] Reference will now be made in detail to present embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the like elements throughout. The embodiments are described below in order to explain the present invention by referring to the figures.
[27] Prior to describing embodiments of the present invention in detail, examples of current codebooks designed for single-polarized MIMO including a discrete Fourier transform (DFT) codebook and a rotated DFT codebook are provided herein below to help understanding the construction of the new codebook for the particular case of multi-polarized MIMO. For example, a DFT codebook providing a DFT precoding matrix for use in a single-polarized MIMO system may be represented as follows:
[28] [Equation 1]
[29]
Figure imgf000006_0001
: Precoding matrix set
Figure imgf000006_0002
: bth precoding matrix [31]
Figure imgf000006_0003
: mth column vector in the matrix
[32] where B is the number of bits necessary to indicate one of those
DFT precoding matrices, M is a number of transmitting antennas, γ is a DFT codebook that is a set of DFT precoding matrices, and
is the b"1 DFT precoding matrix. The m"1 column vector in the matrix
may be represented as
Figure imgf000007_0002
. Specifically, the DFT codebook includes
2(2°
DFT precoding matrices. Each of the
2(2°
DFT precoding matrices includes M column vectors.
[33] Also, each of the DFT precoding matrices is an M x M matrix, and
Um-1 is a vector having m elements and may be a column vector having a size of M x 1.
[34] In the DFT codebook,
Figure imgf000007_0003
may be defined as follows:
[35] [Equation 2] [36]
[37]
Figure imgf000007_0001
[38] That is, DFT precoding matrices exist in the DFT codebook. Each DFT precoding matrix is an M x M matrix. Also, each of the M x M DFT precoding matrices includes M column vectors. Each column vector may be an M x 1 column vector, and elements of the column vector may be determined as in the above Equation 2.
[39] For example, when the polarization of two (2) transmitting antennas are single- polarization, the DFT precoding matrix may include two matrices given as follows,
[40] [Equation 3] [41]
Figure imgf000008_0002
[42] In contrast to the current DFT codebook for single-polarized MIMO system, a rotated DFT codebook is a set of rotated DFT precoding matrices for use in a single-polarized MIMO system. Such a rotated DFT codebook may be represented as follows:
[43] [Equation 4] [44]
(E3 E\ .. E2*}
: such that
Figure imgf000008_0001
[45] An Ith rotated DFT precoding matrix may be represented as follows: [46] [Equation 5] [47]
Figure imgf000008_0003
[48] where
DFTh, is a DFT precoding matrix in the single-polarized MIMO system. The rotated DFT precoding matrix DFTM is generated by rotating all the elements, included in each of rows of the DFT precoding matrix, by a particular phase. [49] Also, in a MIMO system, a transmitting antenna located at a transmitter side transmits a data signal, via a wireless channel, to a receiving antenna located at a receiver side. The wireless channel may be referred to as a channel matrix H. In a multi-polarized MIMO system, the channel matrix H may be modeled as
. Here, the symbol "
" denotes a Hadamard product of matrices and has a calculation rule, as given by:
[50] [Equation 6] [51]
Figure imgf000009_0001
[52] Hereinafter, the present invention will be described in detail with reference to the accompanying drawings. [53] Turning now to FIGS. 1-3, various combinations of dual-polarized transmitting/ receiving antennas for multi-polarized MIMO channels according to example embodiments of the present invention are illustrated.
[54] Referring to FIG. 1, a MIMO system 110 includes two transmitting antennas (2Tx) 111 and 112 arranged at a transmitter side, and two receiving antennas (2Rx) 113 and 114 arranged at a receiver side. The two transmitting antennas 111 and 112 are perpendicular to each other. Accordingly, the polarization directions of signals transmitted, via a wireless channel (i.e., channel matrix H), by the transmitting antennas 111 and 112 are orthogonal to each other.
[55] For 2Tx-2Rx: Precoding matrix X may be represented as follows: [56]
Figure imgf000009_0002
[57] The parameter
, called depolarization factor, can be thought of as a global XPD (cross polarization discrimination) of the antennas and the channel. The exact value of the depolarization factor can be difficult to quantify as it depends upon many factors and will vary from one wireless environment to another. Such a depolarization factor can cover the wide range of values of values
[58] Similarly, another MIMO system 120, as shown in FIG. 2, includes four transmitting antennas (4Tx) 121, 122, 123, and 124 arranged at a transmitter side, and two receiving antennas (2Rx) 125 and 126 arranged at a receiver side. The polarized directions of signals transmitted, via a wireless channel (i.e., channel matrix H), by two transmitting antennas 121 and 122 and remaining two transmitting antennas 123 and 124 are orthogonal to each other.
[59] For 4Tx-2Rx: Precoding matrix X may be represented as follows: [60]
Figure imgf000010_0001
[61] Also, still another MIMO system 130, as shown in FIG. 3, includes four transmitting antennas (4Tx) 131, 132, 133, and 134 arranged at a transmitter side, and four receiving antennas (4Rx) 135, 136, 137, and 138 arranged at a receiver side.
[62] For 4Tx-4Rx: Precoding matrix X may be represented as follows: [63] [Equation 7] [64]
Figure imgf000010_0002
[65] where
is a real number, and
[66] Referring to Equation 7, the first column and the second column of the matrix X correspond to two transmitting antennas (2Tx) 121 and 122, and the third column and the fourth column of the matrix X correspond to other two transmitting antennas (2Tx) 123 and 124. [67] Specifically, the channel matrix H may be modeled as:
H=_\ΘH'
. Also, when four transmitting antennas (4Tx) and four receiving antennas (4Rx) are arranged in the MIMO system 130, shown in FIG. 3, the precoding matrix X may be a 4x4 matrix, as shown in Equation 7. Also, the four transmitting antennas (4Tx) 131, 132, 133, and 134 transmit signals in two polarization directions. As a result, the matrix X may be modeled as a precoding matrix having the two blocks in a diagonal direction.
[68] When a distance between transmitting antennas (Tx) and receiving antennas (Rx) is small, that is, for example, when the user equipment (UE) is close to the base station
(BS), parameter x
, called depolarization factor, may be modeled close to zero "0". Conversely, when a distance between transmitting antennas (Tx) and receiving antennas (Rx) is great, that is, for example, when there are large cells within the wireless networks, x may be modeled close to one "1". Accordingly, when x changes from "0" to " 1", that is, within the range of O≤X≤l, the codebook should have excellent performance in both a single-polarized MIMO system and a multi- polarized MIMO system.
[69] FIG. 4 is a flowchart illustrating a method of generating a codebook for use in a multi-polarized MIMO system according to an example embodiment of the present invention. Such a codebook is provided with a set of unitary matrices designed not only for multi-polarized MIMO schemes, but also single-polarized MIMO schemes without any significant performance degradation. The codebook for such multi- polarized MIMO can be constructed in a block diagonal structure, known as a block diagonal multi-polarized codebook. Similarly, a precoding matrix for use in a multi- polarized MIMO in such a block diagonal structure can be expressed in terms of M x N, where M indicates a number of transmitting antennas at a transmitter side and N indicates a number of data streams in the matrix X. The size of such a matrix may be determined according to a transmission rank (spatial multiplexing rate) corresponding to at least one of the number of transmitting antennas and the number of data streams to be transmitted, via the wireless channels. For example, if the number of transmitting antennas (Tx) is four (4) and the transmission rank, that is, the number of data streams is also four (4), then the size of the matrix may be 4 x 4.
[70] Such a matrix (block diagonal multi-polarized codebook) may be organized or modeled as having a plurality of blocks according to a number of polarization directions of transmitting antennas within a block diagonal structure. Blocks in a diagonal direction are known as diagonal blocks. In an M x N matrix, the term "diagonal direction" refers to a direction from an element of a first column and a first row to an element in an Mth column and N"1 row. For example, when a 4 x 4 matrix is divided into four sets of 2 x 2 matrices, a 2 x 2 matrix that includes elements, included in either the first (1st) or second(2nd) column and also included in either the first (1st) or second(2nd) row of the matrix, and another 2 x 2 matrix that includes elements, included in either the third (3rd) or fourth(4th) column and also included in either the third (3rd) or fourth(4th) row of the matrix, are characterized as "diagonal blocks."
[71] In this instance, when the number of polarization directions of transmitting antennas is two (2), the total number of diagonal blocks may be two (2) and the total number of remaining blocks within the block diagonal structure may be two (2). Similarly, when the number of polarization directions of transmitting antennas is three (3), the total number of diagonal blocks may be three (3) and the total number of remaining blocks may be six (6).
[72] Referring to FIG. 4, in operation S210, a single-polarized precoding matrix is assigned to each of diagonal blocks among a plurality of blocks within the diagonal block structure. Such a single-polarized precoding matrix is a precoding matrix designed for single-polarized MIMO.
[73] For example, the single -polarized precoding matrix assigned to the diagonal blocks in such a block diagonal multi-polarized codebook may include a DFT precoding matrix or a rotated DFT precoding matrix selected in a matrix codebook designed for single-polarized MIMO, e.g., the DFT codebook or the rotated DFT codebook or any other matrix codebook. Any one of the DFT precoding matrix and the rotated DFT precoding matrix may be assigned to diagonal blocks.
[74] In addition, the size of the single-polarized precoding matrix may be determined according to the number of transmitting antennas (Tx) having the same polarization direction. For example, it is assumed that the total number of transmitting antennas (Tx) is eight (8), and the polarization direction by two transmitting antennas (2Tx) is a direction x and the polarization direction by the remaining six transmitting antennas (6Tx) is a direction y. In this case, the direction x is perpendicular to the direction y. Also, the number of polarization directions is two (2), that is, the directions x and y. Accordingly, the precoding matrix for multi-polarized MIMO may have two diagonal blocks.
[75] Also, the number of rows of the single-polarized precoding matrix that are assigned to one diagonal block may be six (6) and the number of rows of the single-polarized precoding matrix that are assigned to the remaining one diagonal block may be two (2). In this case, if the transmission rank is eight (8), more specifically, if the transmission rank of two antennas having the direction x as the polarization direction is two (2) and the transmission rank of six antennas having the direction y as the polarization direction is six (6), a 2 x 2 single-polarized precoding matrix may be assigned to any one of two diagonal blocks and a 6 x 6 single-polarized precoding matrix may be assigned to the other one of the two diagonal blocks.
[76] In operation S220, a zero matrix is assigned to each of the remaining blocks, excluding the diagonal blocks, within the block diagonal structure.
[77] Specifically, the zero matrix of which all the elements are '0' is assigned to blocks that are not the diagonal blocks among the blocks that are obtained within the block diagonal structure according to the number of polarization directions of transmitting antennas.
[78] In operation S230, a precoding matrix for multi-polarized MIMO, i.e., a block diagonal multi-polarized codebook is then generated by combining the single-polarized precoding matrices assigned to the diagonal blocks and the zero matrices assigned to the remaining blocks within the block diagonal structure.
[79] For example, if four transmitting antennas (4Tx) exist, and two transmitting antennas
(2Tx) thereof have the direction x as the polarization direction and the remaining two transmitting antennas (2Tx) have the direction y as the polarization direction, the codebook for the multi-polarized MIMO system may include a 4 x 4 matrix as provided, for example, by:
[80] [Equation 8]
[81]
Figure imgf000013_0001
[82] The two multi-polarized precoding matrices of Equation 8 are only an example of the present invention. Multi-polarized precoding matrices may be generated by randomly combining the two DFT precoding matrices of Equation 3, for example, assigned to the diagonal blocks with the two zero matrices assigned to the remaining blocks within the block diagonal structure .
[83] Specifically, the precoding matrix for the multi-polarized MIMO system may be generated by organizing the precoding matrix into the plurality of blocks according to the number of polarization directions of transmitting antennas, and assigning the single-polarized precoding matrix to the diagonal blocks among all blocks. The zero matrix is then assigned to each of the remaining blocks within the block diagonal structure.
[84] For example, when it is assumed that four transmitting antennas exist and the number of polarization directions of transmitting antennas is two (2), the size of the precoding matrix for multi-polarized MIMO may be 4 x 4. Also, since the number of polarization directions of transmitting antennas is two (2), the precoding matrix may be organized into a total of four (4) blocks according to the number of polarization directions. The precoding matrix for multi-polarized MIMO (block diagonal multi-polarized codebook) is then generated by assigning the single-polarized precoding matrix to each of the two (2) diagonal blocks and assigning the zero matrix to each of the two (2) remaining blocks that are not the two (2) diagonal blocks within the block diagonal structure.
[85] In operation S240, the precoding matrix (block diagonal multi-polarized codebook) is then reconstructed by selecting, from the same precoding matrix, at least one column vector according to a transmission rank corresponding to a number of data streams to be transmitted, via the wireless channel.
[86] For example, it may be assumed that if four transmitting antennas have a multi polarization, a 4 x 4 precoding matrix is generated. The 4 x 4 precoding matrix is given by:
[87] [Equation 9]
[88]
Figure imgf000014_0001
[89] Referring to Equation 9, when the transmission rank is two (2), the precoding matrix
(block diagonal multi-polarized codebook) may be reconstructed by selecting two column vectors from four column vectors included in the precoding matrix. Specifically, the precoding matrix of Equation 9 may be reconstructed to generate six precoding matrices having a size of 4 x 2, as given by:
[90] [Equation 10] [91]
Figure imgf000015_0001
[92] When the number of transmitting antennas is M and the transmission rank is r, an M x M precoding matrix may be generated. Also, an M x r precoding matrix may be generated by selecting column vectors according to the transmission rank and reconstructing the precoding matrix.
[93] Specifically, according to the present invention, unnecessary column vectors may be removed from the precoding matrix by reconstructing the precoding matrix according to the transmission rank, and thus a codebook may be efficiently generated.
[94] In operation S250, when the polarization direction of transmitting antennas is rotated, a rotated precoding matrix is generated using the precoding matrix and a rotated matrix. The rotated matrix may correspond to a rotated angle of polarization direction of transmitting antennas (Tx).
[95] The array structure of transmitting antennas may be variously embodied. For example, in the multi-polarized MIMO system, transmitting antennas corresponding to one polarization direction may be installed vertically with respect to a reference plane and transmitting antennas corresponding to another polarization direction may be installed horizontally with respect to the reference plane. Also, the transmitting antennas corresponding to one polarization direction may be installed in a direction of +45 degrees with respect to the reference plane and transmitting antennas corresponding to the other polarization direction may be installed in a direction of -45 degrees with respect to the reference plane.
[96] Specifically, when the polarization direction of transmitting antennas is rotated by a particular angle with respect to the reference plane, a data stream must be beam formed using the rotated precoding matrix. The rotated precoding matrix may be generated by rotating the precoding matrix. Specifically, the rotated precoding matrix may be generated by multiplying the precoding matrix and the rotated matrix.
[97] For example, when it is assumed that respective two transmitting antennas among four transmitting antennas are installed in a direction of +45 degrees and in a direction of -45 degrees with respect to the reference plane, the rotated matrix may be represented as follows:
[98] [Equation 11] [99]
Figure imgf000016_0001
[ 100] The rotated matrix
may be multiplied by a random complex value. The resulting structure when multiplying the rotated matrix
by the random scalar value falls within the scope of the present invention. [101] When the precoding matrix is referred to as
W VV BD
, the rotated precoding matrix W VV RBD that is generated by rotating the precoding matrix W VV BD may be represented as follows: [102] [Equation 12]
[103]
Figure imgf000017_0001
[104] Referring to Equation 12, the rotated matrix urrt may be determined to correspond to the rotated angle of polarization direction of transmitting antennas. [105] According to the present invention, even when various types of arrays are provided, such as transmitting antennas with a rotated polarization direction, the rotated precoding matrix may be readily generated using the rotated matrix. [106] In operation S250, a reordered matrix is obtained by reordering column vectors that are included in the precoding matrix, and the reordered matrix and the rotated matrix are used to generate a rotated precoding matrix. [107] For example, it is assumed that when two respective transmitting antennas among four transmitting antennas are installed in a direction of +45 degrees and in a direction of -45 degrees with respect to the reference plane, the precoding matrix
W VV BD is generated. In this instance, the rotated matrix urot is the same as Equation 11. The precoding matrix
W1 BD is represented as follows: [108] [Equation 13]
[109]
Figure imgf000018_0001
[110] When column vectors included in the precoding matrix W VV BD of Equation 13 are reordered, the reordered matrix
W may be represented as follows:
[111] [Equation 14] [112]
Figure imgf000018_0002
[113] By using the reordered matrix W and the rotated matrix urrt of Equation 11, the rotated precoding matrix W VV RBD may be generated and a data stream may be beam formed using the rotated precoding matrix
W VV RBD
, represented as follows: [114] [Equation 15] [115]
Figure imgf000019_0001
[116] Referring to Equation 15, it may be seen that when two respective transmitting antennas among four transmitting antennas are installed in a direction of +45 degrees and in a direction of -45 degrees with respect to the reference plane, the rotated precoding matrix
W1 RBD corresponding to the precoding matrix
W WBD of Equation 13 may be generated like Equation 15.
[117] In operation S260, a phase of each of elements included in the reordered matrix is adjusted. The phase of each of elements included in the reordered matrix may be adjusted using a diagonal matrix. In this instance, the diagonal matrix includes diagonal elements. Also, the phase of each of the diagonal elements may be the same or different from each other. The amplitude of each diagonal element is set to T. The amplitude of each of remaining elements, excluding the diagonal elements, is set to '0'.
[118] The diagonal matrix is associated with a modulation scheme of data symbols, instead of increasing channel capacities of the MIMO system, and the like. For example, when the data symbol is modulated using quadrature phase shift keying (QPSK), the diagonal matrix may change only the phase of the data symbol, but may not affect channel capacities of the MIMO system.
[119] In this instance, it is assumed that the precoding matrix
W1 BD and the reordered matrix W are given by: [120] [Equatioi i 16] [121]
[122]
Figure imgf000020_0001
[123] In this instance, the phase of each element included in the reordered matrix
W may be adjusted like Equation 17 below, and data symbols may be beam formed by using
W reorder, BD
. Equation 17 is given by:
[124] [Equation 17] [125]
Figure imgf000020_0002
[126] Aspects of the present invention may be recorded in computer-readable media including program instructions to implement various operations embodied by a computer. The media may also include, alone or in combination with the program instructions, data files, data structures, and the like. Examples of computer-readable media include magnetic media such as hard disks, floppy disks, and magnetic tape; optical media such as CD ROM disks and DVD; magneto-optical media such as optical disks; and hardware devices that are specially configured to store and perform program instructions, such as read-only memory (ROM), random access memory (RAM), flash memory, and the like. Examples of program instructions include both machine code, such as produced by a compiler, and files containing higher level code that may be executed by the computer using an interpreter. The described hardware devices may be configured to act as one or more software modules in order to perform the operations of the above-described embodiments of the present invention.
[127] FIG. 5 illustrates a precoding matrix for use in a multi-polarized MIMO system according to an example embodiment of the present invention.
[128] Referring to FIG. 5, when the number of transmitting antennas is four (4) and the number of polarization directions of transmitting antennas is two (2), U indicates a precoding matrix for the multi-polarized MIMO system. Matrices such as an 'A' matrix 310 and a 'B' matrix 320, as shown in FIG. 5, indicate a single-polarized precoding matrix, that is, a precoding matrix selected from a matrix codebook designed for single-polarized MIMO, e.g., DFT codebook or rotated DFT codebook or any other matrix codebook, and two 'O' matrices 330 and 340 indicate zero matrices.
[129] Since the number of polarization directions of transmitting antennas is two (2), two diagonal blocks and two remaining blocks exist. The 'A' matrix 310 and the 'B' matrix 320, that is, single-polarized precoding matrices, are assigned to the diagonal blocks respectively. The 'O' matrices 330 and 340, that is, zero matrices, are assigned to the remaining blocks respectively.
[130] The size of the 'A' matrix 310 and the 'B' matrix 320 may be determined according to the number of transmitting antennas having the same polarization direction.
[131] For example, when the polarization directions of transmitting antennas are a direction x and a direction y, the number of polarization directions of transmitting antennas may be two (2). Also, it may be assumed that when a total number of transmitting antennas is four (4), the polarization direction of two transmitting antennas is the direction x and the polarization direction of the remaining two transmitting antennas is the direction y. In this instance, the 'A' matrix 310 may be a single-polarized precoding matrix corresponding to the polarization direction of the direction x. Since the number of transmitting antennas having a polarization direction in the direction x is two (2), the number of rows of the 'A' matrix 310 may be two (2). Also, the number of rows of the 'B' matrix 320 may be two (2).
[132] When the transmission rank for the direction x is two (2), the number of rows of the 'A' matrix 310 may be two (2). Also, when the transmission rank for the direction y is two (2), the number of rows of the 'B' matrix 320 may be two (2).
[133] FIG. 6 illustrates single-polarized precoding matrices, such as, DFT precoding matrices assigned to diagonal blocks in a multi-polarized MIMO system according to an example embodiment of the present invention.
[134] Referring to FIG. 6,
W1 RD3I and W are precoding matrices when the number of transmitting antennas is four (4), the number of polarization directions of transmitting antennas is two (2), and the number of transmitting antennas having the same polarization direction is two (2).
[135] The DFT precoding matrices that are assigned to diagonal blocks of the precoding matrices
W1 BED3I and
W1 can be represented as follows:
[136] [Equation 18] [137]
Figure imgf000022_0001
[138] An example of reordered matrices
W, reoiderβD,!
W rerader^D^ W. raπdcr,BD,3
Figure imgf000023_0001
W. reorder3D,5
W re order ,BD, 6
W reorder,BD,7 and
W reorder,BD,8 that are generated by reordering column vectors included in the precoding matrices W " 1RD3I and
may be represented as follows:
[139] [Equation 19]
[140]
Figure imgf000023_0002
[141]
Figure imgf000024_0001
Figure imgf000025_0001
[144] The reordered matrices may be multiplied by a diagonal matrix. In this instance, diagonal elements of the diagonal matrix are complex numbers that have the size of 1, and remaining elements are 0. The diagonal matrix does not affect channel capacities or beam forming performance, and is associated with a modulation scheme of data symbols.
[145] For example, the phase of each element included in the reordered matrices using random diagonal matrices may be adjusted as shown in Equation 20. In this instance, diagonal elements of a diagonal matrix
D. may be random complex numbers that have the , magnitude 1.
[146] [Equation 20]
[147]
[148]
[149]
Figure imgf000025_0002
Figure imgf000026_0001
[155] Also, a rotated precoding matrix WRBD,i may be generated from
W, C, i that is generated using the reordered matrix
W and the diagonal matrix
. More specifically, the rotated precoding matrix
may be generated through a mathematical transformation of the precoding matrices
"RD3I and
W1 KD,2
[156] In this instance, when a reordered matrix is generated from the precoding matrix, and
is generated by multiplying the reordered matrix and the diagonal matrix, the rotated precoding matrix
" RBD 4 may be given by:
[157] [Equation 21] [158]
Figure imgf000027_0002
[159] By using Equation 21, the rotated precoding matrix
WRBDA' with respect to
C,i included in Equation 20 may be represented as follows:
[160] [Equation 22] [161]
Figure imgf000027_0001
[162]
[163]
[164]
Figure imgf000028_0001
[165] Referring to Equation 22, when transmitting antennas corresponding to one polarization direction are installed in a direction of +45 degrees with respect to the reference plane and transmitting antennas corresponding to another polarization direction are installed in a direction of -45 degrees with respect to the reference plane, four (4) rotated precoding matrices may be generated using the rotated matrix. In this instance, although four rotated precoding matrices are expressed in Equation 22, it will be apparent to those of ordinary skills in the art that various types of rotated precoding matrices may be generated using the technical spirits of the present invention.
[166] Also, the rotated precoding matrix
WRBD,L may be represented as follows:
[167] [Equation 23] [168]
Figure imgf000028_0002
Figure imgf000029_0001
[172] When calculating the rotated precoding matrix WRBD,i using Equation22 and Equation 23, it may be represented as follows:
[173] [Equation 24]
Figure imgf000029_0002
[175]
Figure imgf000030_0001
[181]
Figure imgf000031_0001
[182] Accordingly, various types of communication apparatuses transmitting/receiving data according to a space-division multiple access (SDMA) scheme can perform communication using at least one of the precoding matrices disclosed in Equation 24. SDMA denotes a technology that enables a base station to transmit (or receive) signal (i.e., at least one data stream) to (or from) multiple users in the same bandwidth and time simultaneously, via multiple antennas in order to maximize a data transmission rate and total capacity. Here, the precoding matrices disclosed in Equation 24 are based on when a transmission rank is 4, but it is possible to generate precoding matrices corresponding to various types of transmission ranks by selecting column vectors of the precoding matrices disclosed in Equation 24.
[183] Also, the base station (BS) and terminals may store the codebook of matrices of Equation 24 in a computer-readable recording medium, etc. When the base station (BS) transmits a pilot signal, each of the terminals may select any one of the stored matrices in response to the pilot signal. In this instance, each of the terminals may select any one matrix based on the state of a wireless channel formed between each of the terminals and the base station, and also may select any one matrix based on an achievable data transmission rate. Also, each of the terminals may select any one color vector from column vectors included in the selected matrix.
[184] Also, the terminals may feed back to the base station information associated with the selected matrix, or information associated with the selected column vector. The information associated with the selected matrix may be index information of the selected matrix and the information associated with the selected column vector may be index information of the selected column vector. [185] In this instance, the base station (BS) may select any one of the matrices disclosed in Equation 24, as a precoding matrix, based on the information fed back from the terminals. In particular, the base station may select the precoding matrix according to a Per-User Unitary Rate Control (PU2RC) scheme. The base station (BS) may perform precoding (beam- forming) on a data stream to be transmitted, via transmitting antennas, using the selected precoding matrix.
[186] Specifically, a terminal according to an aspect of the present invention may include a signal receiver to receive a pilot signal transmitted from a base station; a codebook storage unit to store a codebook including at least one
W1 where i is a natural number of 1 through 8,:
[187]
Figure imgf000032_0001
Figure imgf000033_0001
; a selector to select a target matrix from the stored at least one w. in response to the pilot signal; and an information feedback unit to feed back in- formation associated with the target matrix to the base station.
[188] In instance, the selector may select the target matrix from the stored codebook including at least one
W1 based on the state of a wireless channel formed between the terminal and the base station. Also, the selector may select the target matrix from the stored codebook including at least one
W1 based on an achievable data transmission rate. And, the selector selects the target matrix from the stored codebook including at least one
W1 in response to the pilot signal, and select at least one column vector from column vectors included in the selected target matrix. In instance, the information feedback unit may feed back to the base station information associated with the selected target matrix and information associated with the selected at least one column vector. [189] Also, a base station according to an aspect of the present invention may include a codebook storage unit to store a codebook including at least one
W1 where i is a natural number of 1 through 8,:
Figure imgf000034_0001
Figure imgf000035_0001
Figure imgf000036_0001
; an inforaiation receiver to receive information associated with a matrix selected by a terminal from the stored codebook including at least one
W1
; a matrix selector to select a precoding matrix based on information associated with the selected matrix; and a precoder to perform precoding on a data stream to be transmitted using the selected precoding matrix.
[191] In instance, the information receiver may receive information associated with matrices corresponding to a plurality of terminals, in which the matrices are selected by the plurality of terminals respectively, the matrix selector may select the precoding matrix based on information associated with the matrices corresponding to the plurality of terminals.
[192] Turning now to FIG. 7, a block diagram of a codebook generation apparatus for generating a codebook of precoding matrices for use in a multi-polarized MIMO system according to an example embodiment of the present invention is illustrated. Referring to FIG. 7, the codebook generation apparatus includes a single-polarized precoding matrix assignment unit 510, a zero matrix assignment unit 520, a precoding matrix generation unit 530, a precoding matrix reconstruction unit 540, a rotated precoding matrix generation unit 550, and a phase adjustment unit 560.
[193] The single-polarized precoding matrix assignment unit 510 assigns a single -polarized precoding matrix to each of diagonal blocks among a plurality of blocks within a block diagonal structure. The blocks are organized according to a number of polarization directions of transmitting antennas.
[194] The zero matrix assignment unit 520 assigns a zero matrix to remaining blocks excluding the diagonal blocks within the block diagonal structure.
[195] The precoding matrix generation unit 530 generates a precoding matrix for multi- polarized MIMO (i.e., a block diagonal multi-polarized codebook) by combining the single-polarized precoding matrices assigned to the diagonal blocks and the zero matrices assigned to the remaining blocks within the block diagonal structure.
[196] The precoding matrix reconstruction unit 540 reconstructs the precoding matrix by selecting, from the precoding matrix, at least one column vector according to a transmission rank corresponding to a number of data streams to be transmitted. [197] The rotated precoding matrix generation unit 550 generates a rotated precoding matrix using the precoding matrix and a rotated matrix corresponding to a rotated angle of the polarization direction when the polarization direction of transmitting antennas is rotated.
[198] The rotated precoding matrix generation unit 550 may generate a reordered matrix by reordering column vectors that are included in the precoding matrix, and generates the rotated precoding matrix by using the reordered matrix and the rotated matrix.
[199] The phase adjustment unit 560 adjusts a phase of each of elements included in the reordered matrix using a diagonal matrix.
[200] Descriptions not made in relation to the apparatus of FIG. 7 will be the same as the descriptions made with reference to FIGS. 1 through 6, and thus will be omitted.
[201] Matrices included in a precoding matrix (block diagonal multi-polarized codebook) that is generated according to an aspect of the present invention will be stored in various types of communication apparatuses and used. For example, a communication apparatus may transmit and receive data in a space division multiple access (SDMA) communication system by using a matrix that is generated according to an aspect of the present invention. The communication apparatus may include various types of devices for the SDMA communication system, such as a base station, a repeater, a terminal, and the like.
[202] Specifically, a communication apparatus according to an aspect of the present invention may store a precoding matrix (block diagonal multi-polarized codebook) that is generated by assigning a single-polarized precoding matrix to diagonal blocks among a plurality of blocks within a block diagonal structure that are divided or organized according to the number of polarization directions of transmitting antennas, and assigning a zero matrix to remaining blocks excluding the diagonal blocks within the block diagonal structure.
[203] According to an aspect of the present invention, the precoding matrix (block diagonal multi-polarized codebook) may be generated by combining the single-polarized precoding matrices assigned at diagonal blocks and the zero matrices assigned at remaining blocks within the block diagonal structure.
[204] Also, a communication apparatus according to an aspect of the present invention may store a matrix that is reconstructed by selecting, from the precoding matrix, at least one column vector according to a transmission rank corresponding to a number of data streams to be transmitted.
[205] Also, a communication apparatus according to an aspect of the present invention may store a rotated precoding matrix that is generated using the precoding matrix and a rotated matrix corresponding to a rotated angle of the polarization direction when the polarization direction of transmitting antennas is rotated. [206] Also, a communication apparatus according to an example embodiment of the present invention may generate a reordered matrix by reordering column vectors that are included in the precoding matrix, and store a matrix that is generated by using the reordered matrix and the rotated matrix.
[207] When the communication apparatus is a base station (BS) used to support multiple user equipments (UEs) in a wireless network, such as 3GPP, Super 3G (3G Long Term Evolution "LTE"), 3GPP2 and upcoming 4G systems, the base station (BS) may transmit a transmission signal that beam forms a data stream using matrices included in the base station (BS). Specifically, the base station (BS) may include a codebook storage unit that stores a codebook of matrices according to the present invention and a beamformer that beam forms data streams using the stored matrices.
[208] Conversely, when the communication apparatus is a terminal, the terminal may generate feedback data using matrices selected from a codebook stored in the terminal. The feedback data is used when the base station (BS) performs beam- forming in which multiple data streams are emitted from transmitting antennas in accordance with matrices selected from a codebook stored in the terminal. Specifically, the terminal may include a codebook storage unit that stores a codebook of matrices according to the present invention and a feedback data generation unit that generates feedback data corresponding to a wireless channel of the base station using the stored matrices.
[209] According to aspects of the present invention, there is provided a method and apparatus for generating a codebook for a multi-polarized MIMO system that can generate a precoding matrix using a single-polarized precoding matrix even when the polarization of antennas is multi-polarization, and thereby generate an excellent precoding matrix that is easily generated. Such a codebook can be shared by a transmitter end and a receiver end.
[210] Also, according to aspects of the present invention, there is provided a method and apparatus for generating a codebook in a multi-polarized MIMO system that can reconstruct a precoding matrix according to a transmission rank and thereby can more effectively generate a codebook.
[211] Also, according to aspects of the present invention, there is provided a method and apparatus for generating a codebook in a multi-polarized MIMO system that can generate a rotated matrix when the polarization direction of transmitting antennas is rotated, and thereby can more flexibly cope with a change in the polarization direction.
[212] As described from the foregoing, a codebook with low complexity and excellent performance and robustness can advantageously be obtained for use in multi-polarized MIMO schemes. Such codebook design can also be used for single-polarized MIMO schemes without any significant performance degradation.
[213] Various components of the codebook generation apparatus, as shown in FIG. 7, such as, the single-polarized precoding matrix assignment unit 510, the zero matrix assignment unit 520, the precoding matrix generating unit 530, the precoding matrix reconstruction unit 540, the rotate precoding matrix generation unit 550 and the phase adjustment unit 560 can be integrated into a single control unit, such as a baseband processor or controller located at a transmitter side, for example, a base station, or alternatively, can be implemented in software or hardware, such as, for example, a field programmable gate array (FPGA) and an application specific integrated circuit (ASIC). As such, it is intended that the processes described herein be broadly interpreted as being equivalently performed by software, hardware, or a combination thereof. As previously discussed, software modules can be written, via a variety of software languages, including C, C++, Java, Visual Basic, and many others. These software modules may include data and instructions which can also be stored on one or more machine-readable storage media, such as dynamic or static random access memories (DRAMs or SRAMs), erasable and programmable read-only memories (EPROMs), electrically erasable and programmable read-only memories (EEPROMs) and flash memories; magnetic disks such as fixed, floppy and removable disks; other magnetic media including tape; and optical media such as compact discs (CDs) or digital video discs (DVDs). Instructions of the software routines or modules may also be loaded or transported into the wireless cards or any computing devices on the wireless network in one of many different ways. For example, code segments including instructions stored on floppy discs, CD or DVD media, a hard disk, or transported through a network interface card, modem, or other interface device may be loaded into the system and executed as corresponding software routines or modules. In the loading or transport process, data signals that are embodied as carrier waves (transmitted over telephone lines, network lines, wireless links, cables, and the like) may communicate the code segments, including instructions, to the network node or element. Such carrier waves may be in the form of electrical, optical, acoustical, electromagnetic, or other types of signals. In addition, the codebook generating method as shown in FIG. 4 may be recorded in computer-readable media including program instructions to implement various operations embodied by a computer. The media may also include, alone or in combination with the program instructions, data files, data structures, and the like. Examples of computer-readable media include magnetic media such as hard disks, floppy disks, and magnetic tape; optical media such as CD ROM disks and DVD; magneto-optical media such as optical disks; and hardware devices that are specially configured to store and perform program instructions, such as read-only memory (ROM), random access memory (RAM), flash memory, and the like. The media may also be a transmission medium such as optical or metallic lines, wave guides, and the like, including a carrier wave transmitting signals specifying the program instructions, data structures, and the like. Examples of program instructions include both machine code, such as produced by a compiler, and files containing higher level code that may be executed by the computer using an interpreter. The described hardware devices may be configured to act as one or more software modules in order to perform the operations of the above-described embodiments of the present invention. While there have been illustrated and described what are considered to be example embodiments of the present invention, it will be understood by those skilled in the art and as technology develops that various changes and modifications, may be made, and equivalents may be substituted for elements thereof without departing from the true scope of the present invention. Many modifications, permutations, additions and sub- combinations may be made to adapt the teachings of the present invention to a particular situation without departing from the scope thereof. For example, the antenna arrangement, shown in FIGs. 1-3, typically includes a transmitter side provided with transmitting antennas Xi... XM and a receiver side provided with N receiver antennas Y i YN to communicate, via a wireless channel (channel matrix H). For mobile communication systems, a base station (BS), known as "Node-B" as specified in accordance with 3GPP, 3GPP2 and 4G specifications, is used at the transmitter end to transmit data, via wireless channels. User equipments (UEs), typically mobile stations (MS), are used at the receiver end to receive data, via the wireless channels. Such user equipments (UE) can be, for example, mobile phones (handsets), personal digital assistants (PDAs), or other devices such as wireless cards in laptop computers or computers with internet wireless connectivity, WiFi and WiMAX gadgets etc. The wireless network can be that of any of the wireless communication technologies, including, but not limited to GSM (Global System for Mobile Communications), CDMA (Code Division Multiple Access), WLL (Wireless Local Loop), WAN (Wide Area Network), WiFi, and WiMAX (Worldwide Interoperability for Microwave Access based on IEEE 802.16 standards), and is applicable with many existing and emerging wireless standards such as IEEE 802.11 (for wireless local area networks), IEEE 802.16 (for wireless metropolitan area networks) and IEEE 802.02 (for mobile broadband wireless access). The base station (BS) can also be an IEEE 802.11 access point (AP) and the UE can also be any client station. Alternatively, the base station can also be implemented with a GERAN (GSM/EDGE radio access technology) in a UTRAN (UMTS Terrestrial Radio Access Network) using a wideband code division multiple access (WCDMA) technology. However, the invention is not limited to those radio access technologies, but it can also be applied to the following radio access technologies: GSM (Global System for Mobile Communications), GPRS (General Packet Radio Service), E-GPRS (EDGE GPRS), CDMA2000 (CDMA, Code Division Multiple Access), US-TDMA (US Time Division Multiple Access), and IS-95. Accordingly, it is intended, therefore, that the present invention not be limited to the various example embodiments disclosed, but that the present invention includes all embodiments falling within the scope of the appended claims.

Claims

Claims
[I] A method of generating a codebook for use in a multiple-input and multiple- output (MIMO) system, the method comprising: assigning a single -polarized precoding matrix to each of diagonal blocks among a plurality of blocks arranged in a block diagonal structure in which a number of diagonal blocks corresponds to a number of polarization directions of transmitting antennas; and assigning a zero matrix to each of remaining blocks excluding the diagonal blocks within the block diagonal structure.
[2] The method as claimed in claim 1, further comprising: generating a precoding matrix by combining the single-polarized precoding matrices assigned to the diagonal blocks and the zero matrices assigned the remaining blocks within the block diagonal structure.
[3] The method as claimed in claim 2, further comprising: reconstructing the precoding matrix by selecting, from the precoding matrix, at least one column vector according to a transmission rank corresponding to a number of data streams to be transmitted.
[4] The method as claimed in claim 3, wherein the precoding matrix is reconstructed by selecting R column vectors when the transmission rank is R.
[5] The method as claimed in claim 1, wherein the single-polarized precoding matrix is one of a discrete Fourier transform (DFT) precoding matrix and a rotated DFT precoding matrix designed for single -polarized MIMO.
[6] The method as claimed in claim 1, wherein, when the number of polarization directions is greater than or equal to 2, the polarization directions are orthogonal to each other.
[7] The method as claimed in claim 1, wherein the size of the single-polarized precoding matrix assigned to each of the diagonal blocks is determined according to the number of transmitting antennas that have the same polarization direction.
[8] The method as claimed in claim 2, further comprising: generating a rotated precoding matrix using the precoding matrix and a rotated matrix corresponding to a rotated angle of the polarization direction when the polarization direction of transmitting antennas is rotated.
[9] The method as claimed in claim 8, wherein the reordered matrix is obtained by reordering column vectors that are included in the precoding matrix.
[10] The method as claimed in claim 8, wherein the rotated precoding matrix is obtained by multiplying the precoding matrix and the rotated matrix.
[I I] The method as claimed in claim 9, further comprising: adjusting a phase of each of elements included in the reordered matrix using a diagonal matrix.
[12] A computer-readable medium storing a program for implementing the method of claim 1.
[13] An apparatus for generating a codebook for use in a multiple-input and multiple- output (MIMO) system, the apparatus comprising: a single-polarized precoding matrix assignment unit to assign a single-polarized precoding matrix to diagonal blocks among a plurality of blocks arranged in a block diagonal format in which a number of diagonal blocks corresponds to a number of polarization directions of transmitting antennas; and a zero matrix assignment unit to assign a zero matrix to remaining blocks excluding the diagonal blocks.
[14] The apparatus as claimed in claim 13, further comprising: a precoding matrix generation unit to generate a precoding matrix by combining the single-polarized precoding matrices assigned to the diagonal blocks and the zero matrices assigned to the remaining blocks.
[15] The apparatus as claimed in claim 14, further comprising: a precoding matrix reconstruction unit to reconstruct the precoding matrix by selecting, from the precoding matrix, at least one column vector according to a transmission rank corresponding to a number of data streams to be transmitted.
[16] The apparatus as claimed in claim 13, wherein the single-polarized precoding matrix is one of a DFT precoding matrix and a rotated DFT precoding matrix for single-polarized MIMO.
[17] The apparatus as claimed in claim 14, further comprising: a rotated precoding matrix generation unit to generate a rotated precoding matrix using the precoding matrix and a rotated matrix corresponding to a rotated angle of the polarization direction when the polarization direction of transmitting antennas is rotated.
[18] The apparatus as claimed in claim 17, wherein the rotated precoding matrix generation unit generates a reordered matrix by reordering orders of column vectors that are included in the precoding matrix, and generates the rotated precoding matrix by using the reordered matrix and the rotated matrix.
[19] The apparatus as claimed in claim 18, further comprising: a phase adjustment unit to adjust a phase of each of elements included in the reordered matrix using a diagonal matrix.
[20] A communication apparatus, comprising: a plurality of transmitting antennas; and a processor arranged to transmit data, via the transmitting antennas, using a precoding matrix generated by assigning a single-polarized precoding matrix to diagonal blocks among a plurality of blocks arranged in a block diagonal format in which a number of diagonal blocks corresponds to a number of polarization directions of the transmitting antennas, and by assigning a zero matrix to remaining blocks excluding the diagonal blocks.
[21] The communication apparatus as claimed in claim 20, wherein the precoding matrix is generated by combining the single-polarized precoding matrices assigned to the diagonal blocks and the zero matrices assigned to the remaining blocks.
[22] The communication apparatus as claimed in claim 21, further comprising a storage to store at least one of the precoding matrix and a matrix that is reconstructed by selecting, from the precoding matrix, at least one column vector according to a transmission rank corresponding to a number of data streams to be transmitted, via the transmitting antennas.
[23] The communication apparatus as claimed in claim 22, wherein the storage further stores at least one of the precoding matrix, the reconstructed matrix, and a rotated precoding matrix that is generated using the precoding matrix and a rotated matrix corresponding to a rotated angle of the polarization direction when the polarization direction of the transmitting antennas is rotated.
[24] The communication apparatus as claimed in claim 23, wherein the storage further stores at least one of the precoding matrix, the reconstructed matrix, the rotated precoding matrix, and a matrix that is generated by using a reordered matrix and the rotated matrix, wherein the reordered matrix is generated by reordering column vectors that are included in the precoding matrix.
[25] The communication apparatus as claimed in claim 24, wherein the storage further stores at least one of the precoding matrix, the reconstructed matrix, the rotated precoding matrix, the matrix that is generated using the reordered matrix and the rotated matrix, and another matrix that is generated by adjusting a phase of each of elements included in the reordered matrix using a diagonal matrix.
[26] A terminal comprising: a codebook storage unit to store a codebook including at least one
W1 where i is a natural number of 1 through 8,:
Figure imgf000045_0001
Figure imgf000046_0001
a selector to select a target matrix from the stored at least one
W1
; and an information feedback unit to feed back information associated with the target matrix to a base station.
[27] The terminal as claimed in claim 26, wherein the selector selects the target matrix from the stored codebook including at least one
W1 based on the state of a wireless channel formed between the terminal and the base station.
[28] The terminal as claimed in claim 26, wherein the selector selects the target matrix from the stored codebook including at least one
W: based on an achievable data transmission rate.
[29] The terminal as claimed in claim 26, wherein
W1 is a rotated precoding matrix.
[30] The terminal as claimed in claim 26, wherein the selector selects the target matrix from the stored codebook including at least one
W1
, and selects at least one column vector from column vectors included in the selected target matrix, and the information feedback unit feeds back to the base station information associated with the selected target matrix and information associated with the selected at least one column vector.
[31] The terminal as claimed in claim 30, wherein the information feedback unit feeds back to the base station index information of the selected target matrix and index information of the selected at least one column vector.
[32] A method of operating a terminal, comprising: receiving a pilot signal transmitted from a base station storing a codebook including at least one
W: where i is a natural i lumber of 1 through 8,:
Figure imgf000047_0001
Figure imgf000048_0001
Figure imgf000049_0002
selecting a target matrix from the stored codebook including at least one
W1 in response to the pilot signal; and feeding back information associated with the target matrix to the base station.
[33] A base station comprising: a codebook storage unit to store a codebook including at least one
W1 where i is a natural number of 1 through 8,:
Figure imgf000049_0001
Figure imgf000050_0001
an information receiver to receive information associated with a matrix selected by a terminal from the stored codebook including at least one w.
a matrix selector to select a precoding matrix based on information associated with the selected matrix; and a precoder to perform precoding on a data stream to be transmitted using the selected precoding matrix.
[34] The base station as claimed in claim 33, wherein: the information receiver receives information associated with matrices corresponding to a plurality of terminals, in which the matrices are selected by the plurality of terminals respectively, and the matrix selector selects the precoding matrix based on information associated with the matrices corresponding to the plurality of terminals.
[35] The base station as claimed in claim 34, wherein the matrix selector selects the precoding matrix according to a Per-User Unitary Rate Control (PU2RC) scheme.
[36] A method of operating a base station, comprising: storing a codebook including at least one w. where i is a natural i lumber of 1 through 8,:
Figure imgf000051_0001
Figure imgf000052_0001
Figure imgf000053_0002
selecting a precoding matrix from the stored codebook including at least one
W1
; and performing precoding on a data stream to be transmitted using the selected precoding matrix.
[37] A communication system comprising: a terminal to store a codebook including at least one
W1 where i is a natural number of 1 through 8,:
Figure imgf000053_0001
Figure imgf000054_0001
select a target matrix from the stored codebook including at least one w. in response to a pilot signal, and feed back information associated with the target matrix; and a base station to store at least one
Wk where k is a natural number of 1 through 8,:
Figure imgf000055_0001
Figure imgf000056_0001
receive information associated with the target matrix selected by the terminal select a precoding matrix from the stored codebook including at least one
Wk
, based on the information associated with the selected target matrix; and perform precoding on a data stream to be transmitted using the selected precoding matrix.
[38] A method of generating a codebook for use in a multiple-input and multiple- output (MIMO) system, the method comprising: constructing a precoding matrix having a plurality of blocks arranged in rows and columns in which a number of diagonal blocks corresponds to a number of polarization directions of transmitting antennas; assigning a single polarized precoding matrix to each of selected diagonal blocks among the plurality of blocks available within the precoding matrix; and assigning a zero matrix to each of remaining blocks that are not selected diagonal blocks available within the precoding matrix, wherein sizes of single polarized precoding matrices depend upon a transmission rank according to the number of transmitting antennas that have the same polarization direction.
[39] The method as claimed in claim 38, wherein the single-polarized precoding matrix is one of a discrete Fourier transform (DFT) precoding matrix and a rotated DFT precoding matrix for single-polarized MIMO.
[40] The method as claimed in claim 38, further comprising: reconstructing the precoding matrix by selecting, from the precoding matrix, at least one column vector according to the transmission rank corresponding to a number of data streams to be transmitted; generating a rotated precoding matrix by multiplying the precoding matrix and a rotated matrix corresponding to a rotated angle of the polarization direction when the polarization direction of transmitting antennas is rotated; and adjusting a phase of each of elements included in the reordered matrix obtained by reordering column vectors that are included in the precoding matrix, using a diagonal matrix.
PCT/KR2008/000739 2007-02-06 2008-02-05 Codebook generating method and apparatus for generating a codebook for multi-polarized multiple-input multiple-output (mimo) systems WO2008097035A1 (en)

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JP2009548996A JP2010518726A (en) 2007-02-06 2008-02-05 Terminal for multi-polarization multiplex input / output system and operation method thereof, base station and operation method thereof, and communication system provided with the same
CN2008800071616A CN101675599B (en) 2007-02-06 2008-02-05 Codebook generating method and apparatus for generating a codebook for multi-polarized multiple-input multiple-output (mimo) systems
EP18213471.8A EP3493416B1 (en) 2007-02-06 2008-02-05 Codebook generating method and apparatus for generating a codebook for multi-polarized multiple-input multiple-output (mimo) systems
ES08712390T ES2712913T3 (en) 2007-02-06 2008-02-05 Method of generating a codebook and apparatus for generating a code book for multiple-input multiple-output (MIMO) multiple polarization systems
EP08712390.7A EP2111695B1 (en) 2007-02-06 2008-02-05 Codebook generating method and apparatus for generating a codebook for multi-polarized multiple-input multiple-output (mimo) systems
PL08712390T PL2111695T3 (en) 2007-02-06 2008-02-05 Codebook generating method and apparatus for generating a codebook for multi-polarized multiple-input multiple-output (mimo) systems

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011017991A1 (en) * 2009-08-10 2011-02-17 中兴通讯股份有限公司 Method and system for precoding and method for constructing precoding codebook
WO2011032365A1 (en) 2009-09-18 2011-03-24 富士通株式会社 Method and device for generating pre-coding matrix codebook
WO2011035481A1 (en) 2009-09-25 2011-03-31 富士通株式会社 Method and device for generating pre-coding matrix codebook
JP2013516933A (en) * 2010-01-11 2013-05-13 チャイナ アカデミー オブ テレコミュニケーションズ テクノロジー Method and apparatus for transmitting and receiving information in a multi-antenna system, and multi-antenna system
JP2013521734A (en) * 2010-03-10 2013-06-10 パナソニック株式会社 Method and apparatus for feeding back a precoding matrix index of a dual polarization antenna
CN103222296A (en) * 2010-11-22 2013-07-24 诺基亚西门子通信公司 Multi-layer beamforming with partial channel state information
KR101517435B1 (en) * 2010-05-04 2015-05-04 퀄컴 인코포레이티드 Method and apparatus for optimizing power distribution between symbols

Families Citing this family (102)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7917176B2 (en) * 2006-02-14 2011-03-29 Nec Laboratories America, Inc. Structured codebook and successive beamforming for multiple-antenna systems
KR20080073624A (en) 2007-02-06 2008-08-11 삼성전자주식회사 Codebook generating method for multi-polarized mimo system and device of enabling the method
WO2008133582A2 (en) * 2007-04-30 2008-11-06 Telefonaktiebolaget L M Ericsson (Publ) Method and arrangement for adapting a multi-antenna transmission
KR101346042B1 (en) * 2007-07-31 2013-12-31 재단법인서울대학교산학협력재단 Method of communicating multi input multi output and system using the same
US9287951B2 (en) * 2007-12-03 2016-03-15 Telefonaktiebolaget L M Ericsson (Publ) Precoder for spatial multiplexing, multiple antenna transmitter
WO2009072960A2 (en) * 2007-12-03 2009-06-11 Telefonaktiebolaget L M Ericsson (Publ) Precoder for spatial multiplexing, multiple antenna transmitter
US8306473B2 (en) * 2008-02-15 2012-11-06 Qualcomm Incorporated Methods and apparatus for using multiple antennas having different polarization
KR101529736B1 (en) * 2008-03-05 2015-06-29 엘지전자 주식회사 Method of data transmission in multiple antenna system
US8873671B2 (en) * 2008-03-26 2014-10-28 Qualcomm Incorporated Method and system for LLR buffer reduction in a wireless communication modem
KR101207569B1 (en) * 2008-04-22 2012-12-03 삼성전자주식회사 Apparatus and method for selection of precoding vector
US8155063B2 (en) * 2008-04-28 2012-04-10 Apple Inc. Apparatus and methods for transmission and reception of data in multi-antenna systems
KR101027237B1 (en) * 2008-07-30 2011-04-06 엘지전자 주식회사 Method for transmitting data in multiple antenna system
KR20100013251A (en) * 2008-07-30 2010-02-09 엘지전자 주식회사 Method for transmitting data in multiple antenna system
KR101056614B1 (en) * 2008-07-30 2011-08-11 엘지전자 주식회사 Data transmission method in multi-antenna system
KR20110081946A (en) * 2008-08-11 2011-07-15 엘지전자 주식회사 Method for transmitting multiple code words in a multiple antenna system
KR20100019948A (en) * 2008-08-11 2010-02-19 엘지전자 주식회사 Method of transmitting data using spatial multiplexing
KR101563032B1 (en) * 2008-08-12 2015-10-23 노오텔 네트웍스 리미티드 Enabling downlink transparent relay in a wireless communications network
RU2474961C2 (en) * 2008-09-05 2013-02-10 Телефонактиеболагет Л М Эрикссон (Пабл) Method and device in radio access network
US8780817B2 (en) * 2008-09-22 2014-07-15 Qualcomm Incorporated Apparatus and method for reducing overhead for communications
US8432990B2 (en) * 2008-10-14 2013-04-30 Futurewei Technologies, Inc. System and method for employing a six-bit rank 1 codebook for four transmit antennas
KR101597515B1 (en) * 2008-10-20 2016-02-25 삼성전자주식회사 Codebook design method for multiple input multiple output system and method for using the codebook
US8401104B2 (en) 2008-10-20 2013-03-19 Samsung Electronics Co., Ltd. Codebook design method for multiple input multiple output system and method for using the codebook
EP2192696B1 (en) * 2008-11-28 2014-12-31 Sequans Communications Wireless communications method and system with spatial multiplexing using dually polarized antennas and corresponding receiver
KR101707680B1 (en) 2008-12-21 2017-02-17 엘지전자 주식회사 Apparatus and method of transmitting information in wireless communication system
JP5322327B2 (en) * 2009-01-05 2013-10-23 マーベル ワールド トレード リミテッド Precoding of codebook for MIMO communication system
US8385441B2 (en) * 2009-01-06 2013-02-26 Marvell World Trade Ltd. Efficient MIMO transmission schemes
ES2691037T3 (en) 2009-01-07 2018-11-23 Sun Patent Trust Wireless communication device, wireless communication system and wireless communication procedure
US8325846B2 (en) * 2009-02-13 2012-12-04 Lg Electronics Inc. Data transmission method and apparatus in multiple antenna system
KR101608779B1 (en) * 2009-02-13 2016-04-20 엘지전자 주식회사 Uplink Precoding Method In 2 Tx System
KR101644433B1 (en) 2009-02-13 2016-08-01 엘지전자 주식회사 Uplink Precoding Method In 4 Tx System
US8238483B2 (en) 2009-02-27 2012-08-07 Marvell World Trade Ltd. Signaling of dedicated reference signal (DRS) precoding granularity
US8699528B2 (en) * 2009-02-27 2014-04-15 Marvell World Trade Ltd. Systems and methods for communication using dedicated reference signal (DRS)
KR101599851B1 (en) * 2009-03-18 2016-03-04 엘지전자 주식회사 CoMP Method and apparatus for transmitting precoding matrix index in wireless communication system applied CoMP scheme
EP2417780B1 (en) * 2009-04-06 2019-05-08 Marvell World Trade Ltd. Improved feedback strategies for multi-user mimo communication systems
US8325843B2 (en) 2009-04-08 2012-12-04 Lg Electronics Inc. MIMO codebook generation
JP5607143B2 (en) 2009-04-21 2014-10-15 マーベル ワールド トレード リミテッド COMMUNICATION METHOD, COMMUNICATION DEVICE, MOBILE COMMUNICATION TERMINAL, CHIPSET, AND COMMUNICATION SYSTEM
US8494088B2 (en) * 2009-04-27 2013-07-23 Samsung Electronics Co., Ltd. Transmitting/receiving apparatus and method thereof in codebook based multiple antenna system
CN102868498B (en) * 2009-06-18 2015-12-09 华为技术有限公司 Method for generating codebooks, data transmission method and device
CN103152090B (en) 2009-08-07 2015-12-02 华为技术有限公司 Recoding processing method, codebook set and base station
TWI377802B (en) * 2009-08-11 2012-11-21 Ind Tech Res Inst Codebook searching apparatus and method thereof
CN101997654B (en) * 2009-08-17 2013-08-28 富士通株式会社 Method and device for generating pre-coding matrix code book group
US8675794B1 (en) * 2009-10-13 2014-03-18 Marvell International Ltd. Efficient estimation of feedback for modulation and coding scheme (MCS) selection
US8917796B1 (en) 2009-10-19 2014-12-23 Marvell International Ltd. Transmission-mode-aware rate matching in MIMO signal generation
US8325860B2 (en) * 2009-11-09 2012-12-04 Marvell World Trade Ltd. Asymmetrical feedback for coordinated transmission systems
CN102783120B (en) * 2009-12-17 2015-07-01 马维尔国际贸易有限公司 MIMO feedback schemes for cross-polarized antennas
EP2521278A1 (en) * 2009-12-28 2012-11-07 Fujitsu Limited Method and device for generating precoding matrix codebook
US8817904B2 (en) * 2009-12-30 2014-08-26 Telecom Italia S.P.A. Method for selecting a precoding matrix in a multiple input multiple output (“MIMO”) system
US8958495B2 (en) * 2010-01-08 2015-02-17 Samsung Electronics Co., Ltd. Codebook design method for multiple-input multiple-output (MIMO) communication system and method for using the codebook
JP5258002B2 (en) 2010-02-10 2013-08-07 マーベル ワールド トレード リミテッド Device, mobile communication terminal, chipset, and method in MIMO communication system
EP2537263B1 (en) * 2010-02-15 2021-01-27 Koninklijke Philips N.V. A method of generating a codebook
US8687741B1 (en) 2010-03-29 2014-04-01 Marvell International Ltd. Scoring hypotheses in LTE cell search
CN101854236B (en) 2010-04-05 2015-04-01 中兴通讯股份有限公司 Method and system for feeding back channel information
WO2011126341A2 (en) 2010-04-08 2011-10-13 엘지전자 주식회사 Signal transmission method and apparatus using codebook in wireless communication system supporting multiple antennas
CN102237975B (en) 2010-05-04 2013-10-02 华为技术有限公司 Method and device for transmitting pre-coding matrix index (PMI) and pre-coding PMI
CN102237973B (en) 2010-05-04 2014-07-30 华为技术有限公司 Pre-coding processing method and user equipment
CN104135348B (en) * 2010-05-04 2018-03-27 华为技术有限公司 Recoding processing method and user equipment
US8477663B2 (en) * 2010-06-01 2013-07-02 Samsung Electronics Co., Ltd. Multiple input multiple output communication system and communication method of configuring codebook
KR20110138742A (en) * 2010-06-21 2011-12-28 주식회사 팬택 Method for transmitting channel information and apparatus thereof and cell apparatus using the same, transmission method thereof
WO2011161601A1 (en) * 2010-06-23 2011-12-29 Koninklijke Philips Electronics N.V. A method for operating a secondary station
CN102299759B (en) * 2010-06-24 2013-12-04 上海贝尔股份有限公司 Method and device for acquiring pre-coded matrix
JP2012100254A (en) 2010-10-06 2012-05-24 Marvell World Trade Ltd Codebook subsampling for pucch feedback
US8615052B2 (en) 2010-10-06 2013-12-24 Marvell World Trade Ltd. Enhanced channel feedback for multi-user MIMO
US8953700B2 (en) * 2010-10-21 2015-02-10 Lg Electronics Inc. Method for transmitting signal in multiple node system
US9048970B1 (en) 2011-01-14 2015-06-02 Marvell International Ltd. Feedback for cooperative multipoint transmission systems
US8861391B1 (en) 2011-03-02 2014-10-14 Marvell International Ltd. Channel feedback for TDM scheduling in heterogeneous networks having multiple cell classes
CN103548284B (en) 2011-03-31 2017-07-21 马维尔国际贸易有限公司 Channel feedback for cooperative multipoint transmission
CN102761354B (en) * 2011-04-28 2015-02-18 上海贝尔股份有限公司 Method and device for generating codebook and related data in network equipment
CN102769484B (en) * 2011-05-03 2016-02-24 上海贝尔股份有限公司 Generate the code book being used for uniform circular array row and the method obtaining code word from this code book
US8879667B2 (en) * 2011-07-01 2014-11-04 Intel Corporation Layer shifting in open loop multiple-input, multiple-output communications
CN102891817B (en) * 2011-07-22 2017-06-13 中兴通讯股份有限公司 A kind of channel equalization method, base station and system
WO2013068915A2 (en) 2011-11-07 2013-05-16 Marvell World Trade Ltd. Precoding feedback for cross-polarized antennas with magnitude information
US8923427B2 (en) 2011-11-07 2014-12-30 Marvell World Trade Ltd. Codebook sub-sampling for frequency-selective precoding feedback
US9031597B2 (en) 2011-11-10 2015-05-12 Marvell World Trade Ltd. Differential CQI encoding for cooperative multipoint feedback
US9220087B1 (en) 2011-12-08 2015-12-22 Marvell International Ltd. Dynamic point selection with combined PUCCH/PUSCH feedback
CN103188806A (en) * 2011-12-31 2013-07-03 富士通株式会社 Device and method for confirming effective channel and feedback information
US8902842B1 (en) 2012-01-11 2014-12-02 Marvell International Ltd Control signaling and resource mapping for coordinated transmission
US9143951B2 (en) 2012-04-27 2015-09-22 Marvell World Trade Ltd. Method and system for coordinated multipoint (CoMP) communication between base-stations and mobile communication terminals
US9438321B2 (en) 2012-07-12 2016-09-06 Samsung Electronics Co., Ltd. Methods and apparatus for codebook subset restriction for two-dimensional advanced antenna systems
US9401749B2 (en) 2013-03-08 2016-07-26 Google Technology Holdings LLC Method for codebook enhancement for multi-user multiple-input multiple-output systems
EP3018852B1 (en) 2013-08-08 2019-10-16 Huawei Technologies Co., Ltd. Method for determining precoding matrix indicator, receiving device and transmitting device
WO2015030638A1 (en) * 2013-08-27 2015-03-05 Telefonaktiebolaget L M Ericsson (Publ) Positioning of wireless devices
CN109861694B (en) * 2013-11-20 2021-10-26 华为技术有限公司 Processing method and equipment of polarization code
EP3103293B1 (en) * 2014-02-14 2022-12-14 Huawei Technologies Co., Ltd. Base station, mobile station and method thereof
CN105794041B (en) * 2014-03-31 2019-08-20 富士通株式会社 Code book determining device, information feedback device and communication system
CN106605375B (en) * 2014-05-15 2020-06-26 华为技术有限公司 Signal transmission and feedback method and device
EP2945299B1 (en) * 2014-05-15 2018-04-04 Alcatel Lucent Apparatus, method and computer program for a transceiver of a mobile communication system
US9350436B2 (en) * 2014-05-20 2016-05-24 The United States Of America As Represented By The Secretary Of The Navy Wireless polarization modulation method using polarization shift keying and hadamard multiplexing
US9544032B2 (en) * 2014-11-20 2017-01-10 Huawei Technologies Canada Co., Ltd. System and method for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) offset quadrature amplitude modulation (OQAM)
KR101652447B1 (en) * 2014-12-17 2016-08-30 엘지전자 주식회사 Method for transmitting signal through 6th polarimetric antenna
WO2017113112A1 (en) * 2015-12-29 2017-07-06 华为技术有限公司 Method and apparatus for determining pre-coding matrix
CN107181509A (en) * 2016-03-11 2017-09-19 电信科学技术研究院 A kind of data transmission method and device
CN107181514B (en) 2016-03-11 2020-09-15 电信科学技术研究院 CSI feedback method, precoding method and device
CN107370530B (en) * 2016-05-12 2021-02-12 华为技术有限公司 Channel state information feedback method, precoding method, terminal equipment and base station
WO2018208672A1 (en) * 2017-05-08 2018-11-15 Coherent Logix, Inc. Enhanced polarization weighting to enable scalability in polar code bit distribution
CN109802711B (en) * 2017-11-17 2020-10-30 维沃移动通信有限公司 Method for determining uplink multi-antenna transmission codebook, network equipment and terminal equipment
WO2019144418A1 (en) 2018-01-29 2019-08-01 华为技术有限公司 Method for reporting precoding matrix index, communication device and medium
CN109672464B (en) * 2018-12-13 2021-09-03 西安电子科技大学 FCFNN-based large-scale MIMO channel state information feedback method
WO2020164153A1 (en) * 2019-02-15 2020-08-20 Oppo广东移动通信有限公司 Method for determining configuration parameter, and terminal device and network device
TWI743744B (en) * 2019-05-22 2021-10-21 啟碁科技股份有限公司 Beamforming device, calibration method and calibration system for the same
US11329376B2 (en) 2019-05-22 2022-05-10 Wistron Neweb Corporation Beamforming device, calibration method and calibration system for the same
KR20210031287A (en) 2019-09-11 2021-03-19 삼성전자주식회사 Apparatus and method for precoding data in wireless communication system
CN114641942A (en) * 2019-09-16 2022-06-17 瑞典爱立信有限公司 P-matrix for EHT

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002054626A1 (en) * 2000-12-28 2002-07-11 Nortel Networks Limited Mimo wireless communication system
US7006804B1 (en) * 2002-07-10 2006-02-28 At&T Corp. High-speed two-way point-to-point transmission

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2863422A1 (en) * 2003-12-04 2005-06-10 France Telecom Signal transmitting method for wireless digital communication, involves implementing source matrix and linear precoding matrix to provide precoded matrix, and transmitting precoded vectors conforming to columns of precoded matrix
CN1943133B (en) 2004-05-07 2011-09-14 三星电子株式会社 Apparatus and method for encoding/decoding space time block code in a mobile communication system using multiple input multiple output scheme
US20060039489A1 (en) 2004-08-17 2006-02-23 Texas Instruments Incorporated Method and apparatus for providing closed-loop transmit precoding
KR20060038812A (en) * 2004-11-01 2006-05-04 엘지전자 주식회사 Method for transmitting precoding matrix and transmitting signal using the precoding matrix
US20060268623A1 (en) * 2005-03-09 2006-11-30 Samsung Electronics Co., Ltd. Transmitting/receiving apparatus and method in a closed-loop MIMO system
KR100659539B1 (en) * 2005-03-09 2006-12-20 삼성전자주식회사 Apparatus and method for transmitting and receiving in mimo system based close loop
KR101124932B1 (en) * 2005-05-30 2012-03-28 삼성전자주식회사 Apparatus and method for transmitting/receiving a data in mobile communication system with array antennas
KR20060130806A (en) * 2005-06-08 2006-12-20 삼성전자주식회사 Apparatus and method for transmitting and receiving in close loop mimo system by using codebooks
KR100895992B1 (en) * 2005-09-16 2009-05-07 삼성전자주식회사 Apparatus and method for increasing the number of antennas in wireless communication system using multiple antennas
US8102931B2 (en) 2006-09-29 2012-01-24 Apple Inc. Method and device for operating a precoded MIMO system
DK3444967T3 (en) * 2007-01-12 2021-02-15 Ericsson Telefon Ab L M Method and device in a wireless communication system
KR20080073624A (en) 2007-02-06 2008-08-11 삼성전자주식회사 Codebook generating method for multi-polarized mimo system and device of enabling the method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002054626A1 (en) * 2000-12-28 2002-07-11 Nortel Networks Limited Mimo wireless communication system
US7006804B1 (en) * 2002-07-10 2006-02-28 At&T Corp. High-speed two-way point-to-point transmission

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
LEE S.-Y. ET AL.: "Transmit Antenna Selection for Dual Polarized Channel Using Singular Value Decision", KOREA INFORMATION AND COMMUNICATION SOCIETY, vol. 30, no. 9A, September 2005 (2005-09-01), pages 788 - 794, XP055097621 *
See also references of EP2111695A4 *

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011017991A1 (en) * 2009-08-10 2011-02-17 中兴通讯股份有限公司 Method and system for precoding and method for constructing precoding codebook
US8483306B2 (en) 2009-08-10 2013-07-09 Zte Corporation Method and system for precoding and method for constructing precoding codebook
WO2011032365A1 (en) 2009-09-18 2011-03-24 富士通株式会社 Method and device for generating pre-coding matrix codebook
US20120163496A1 (en) * 2009-09-25 2012-06-28 Fujitsu Limited Method and apparatus for generating pre-coding matrix codebook
WO2011035481A1 (en) 2009-09-25 2011-03-31 富士通株式会社 Method and device for generating pre-coding matrix codebook
US8553798B2 (en) 2009-09-25 2013-10-08 Fujitsu Limited Method and apparatus for generating pre-coding matrix codebook
JP2013516933A (en) * 2010-01-11 2013-05-13 チャイナ アカデミー オブ テレコミュニケーションズ テクノロジー Method and apparatus for transmitting and receiving information in a multi-antenna system, and multi-antenna system
JP2013521734A (en) * 2010-03-10 2013-06-10 パナソニック株式会社 Method and apparatus for feeding back a precoding matrix index of a dual polarization antenna
KR101517435B1 (en) * 2010-05-04 2015-05-04 퀄컴 인코포레이티드 Method and apparatus for optimizing power distribution between symbols
US9887754B2 (en) 2010-05-04 2018-02-06 Qualcomm Incorporated Method and apparatus for optimizing power distribution between symbols
CN103222296A (en) * 2010-11-22 2013-07-24 诺基亚西门子通信公司 Multi-layer beamforming with partial channel state information
JP2014504068A (en) * 2010-11-22 2014-02-13 ノキア シーメンス ネットワークス オサケユキチュア Multi-layer beamforming with partial channel state information
US8989295B2 (en) 2010-11-22 2015-03-24 Nokia Solutions And Networks Oy Multi-layer beamforming with partial channel state information

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US20080186212A1 (en) 2008-08-07
US8144808B2 (en) 2012-03-27
KR20080073624A (en) 2008-08-11
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CN101675599A (en) 2010-03-17
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US8611463B2 (en) 2013-12-17
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US8050357B2 (en) 2011-11-01
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US20110096851A1 (en) 2011-04-28
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US20130100996A1 (en) 2013-04-25
CN103227672B (en) 2017-04-12
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US20110058621A1 (en) 2011-03-10
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US8331489B2 (en) 2012-12-11
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