WO2017049640A1 - 一种预编码方法及装置 - Google Patents

一种预编码方法及装置 Download PDF

Info

Publication number
WO2017049640A1
WO2017049640A1 PCT/CN2015/090839 CN2015090839W WO2017049640A1 WO 2017049640 A1 WO2017049640 A1 WO 2017049640A1 CN 2015090839 W CN2015090839 W CN 2015090839W WO 2017049640 A1 WO2017049640 A1 WO 2017049640A1
Authority
WO
WIPO (PCT)
Prior art keywords
column vector
column
vectors
matrix
phase
Prior art date
Application number
PCT/CN2015/090839
Other languages
English (en)
French (fr)
Inventor
张雷鸣
刘江华
刘鹍鹏
Original Assignee
华为技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Priority to PCT/CN2015/090839 priority Critical patent/WO2017049640A1/zh
Priority to CN201580071563.2A priority patent/CN107113104B/zh
Publication of WO2017049640A1 publication Critical patent/WO2017049640A1/zh

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/02Arrangements for detecting or preventing errors in the information received by diversity reception
    • H04L1/06Arrangements for detecting or preventing errors in the information received by diversity reception using space diversity

Definitions

  • the present invention relates to the field of mobile communications technologies, and in particular, to a precoding method and apparatus.
  • the transmitting end can transmit signals through the precoding matrix to improve the overall system performance.
  • the signal at the receiving end can be expressed as
  • y represents the receiver signal
  • H represents the channel state information
  • V represents the precoding matrix
  • s represents the signal
  • n represents the noise.
  • a set of precoding matrices V which is also called a codebook, is generally stored at the transmitting end and the receiving end. The receiving end can obtain the required signal for transmitting the signal by using a PMI (Precoding Matrix Indicator). Precoding matrix.
  • the precoding matrix can be single codebook feedback or dual codebook feedback, such as the precoding scheme of the 8-antenna system in Release-10 and later versions.
  • the Release-12 version of the 4-antenna precoding scheme uses a dual-codebook architecture.
  • the so-called dual codebook structure means that the precoding matrix in the codebook is composed of two parts, which is expressed as:
  • W 1 represents long-term/wideband channel information
  • W 2 represents short-term/narrowband channel information
  • 3D-MIMO (3Dimensions-Multiple-Input Multiple-Output) system, because of the introduction of more antenna ports and the freedom of vertical dimension, it is easier to support high rank (rank) transmission.
  • the current codebook even a dual codebook, is only set for antennas of horizontal dimensions. It can be seen that the current codebook scheme is obviously no longer applicable to the new antenna configuration under 3D-MIMO.
  • the embodiment of the invention provides a precoding method and device, which are used to solve the current codebook solution. It is no longer suitable for the technical problem of the new antenna form under 3D-MIMO.
  • a precoding method comprising:
  • a precoding matrix from a codebook, the codebook comprising at least one precoding matrix W, where W is a product of two matrices W 1 and W 2 ;
  • W 1 is a block diagonal matrix
  • the W 1 includes a number of block matrices N B greater than or equal to 1, wherein each of the block matrices X i satisfies the Kronecker product of the matrix A i and the matrix B i , or
  • col() represents a column selection function, 1 ⁇ i ⁇ N B ; wherein at least one of the total 2N B matrices corresponding to the A i and the B i contains two adjacent column vectors
  • the column vector is non-contiguous, or at least one of the total 2N B matrices corresponding to the A i and the B i includes two column vectors orthogonal to each other;
  • At least one of a total of 2N B matrices corresponding to the A i and the B i includes two columns in a column vector The vectors are orthogonal, and the two column vectors are adjacent column vectors.
  • the matrix corresponding to the A i and the B i respectively correspond to a horizontal dimension and a vertical
  • the channel characteristics of the dimension, or the matrix corresponding to the A i and the B i respectively correspond to the channel characteristics of the vertical dimension and the horizontal dimension.
  • At least one of the matrixes included in the matrix corresponding to A i includes any two adjacent column vectors orthogonal to each other, or at least one of the matrices corresponding to the matrix B i includes a column vector Any two adjacent column vectors are orthogonal to each other.
  • At least one of the matrices in the matrix corresponding to the A i includes at least one set of adjacent column vectors that are consecutive in phase and a set of adjacent column vectors that are not consecutive in phase;
  • At least one of the matrices in the matrix corresponding to the B i includes a column vector including at least one set of adjacent column vectors that are consecutive in phase and a set of adjacent column vectors that are not continuous in phase.
  • At least one of the matrices corresponding to the A i includes a column vector
  • At least one of the matrices corresponding to the B i includes a column vector.
  • At least one of the matrixes corresponding to the A i includes a phase of adjacent column vectors in a column vector, and at least one of the matrixes corresponding to the B i includes at least one of the column vectors Column vector phase is not continuous;
  • At least one of the matrixes in the matrix corresponding to the B i includes adjacent column vectors that are consecutive in phase, and at least one of the matrixes corresponding to the A i includes at least one of the column vectors
  • the column vector phase is not continuous.
  • the possible implementation manner of the seventh possible implementation manner in the tenth possible implementation manner of the first aspect, is possible implementation manner of the seventh possible implementation manner, in the tenth possible implementation manner of the first aspect, is possible implementation manner of the seventh possible implementation manner, in the tenth possible implementation manner of the first aspect,
  • At least one of the matrixes in the matrix corresponding to the A i includes adjacent column vectors that are consecutive in phase, and at least one of the matrix vectors included in the matrix corresponding to the B i contains at least two column vectors Orthogonal
  • At least one of the matrixes in the matrix corresponding to the B i includes adjacent column vectors in a phase continuous, and at least one of the matrix vectors in the matrix corresponding to the A i includes at least two column vectors Orthogonal.
  • a i [a i1 , a i2 , a i3 , a i4 ], wherein the column vector a i1 , the column vector a i2 , the column vector a i3 , and the column vector a i4 are all DFT vectors; wherein the column vector a i1 , Arbitrary two adjacent column vectors of the column vector a i2 and the column vector a i3 are consecutive, and the column vector a i3 and the column vector a i4 are orthogonal to each other;
  • B i [b i1 ,b i2 ,b i3 ,b i4 ], wherein the column vector b i1 , the column vector b i2 , the column vector b i3 , and the column vector b i4 are DFT vectors; wherein the column vector b i1 , Any two adjacent column vectors of the column vector b i2 and the column vector b i3 are consecutive in phase, and the column vector b i3 and the column vector b i4 are orthogonal to each other.
  • a i [a i1 , a i2 , a i3 , a i4 ], wherein the column vector a i1 , the column vector a i2 , the column vector a i3 , and the column vector a i4 are all DFT vectors; wherein the column vector a i1 and The phase of the column vector a i2 is continuous, the phase of the column vector b i3 and the column vector b i4 are continuous, and the column vector a i2 and the column vector a i3 are orthogonal to each other;
  • B i [b i1 , b i2 , b i3 , b i4 ], wherein the column vector b i1 , the column vector b i2 , the column vector b i3 , and the column vector b i4 are all DFT vectors; wherein the column vector b i1 and The phase of the column vector b i2 is continuous, the phase of the column vector b i3 and the column vector b i4 are continuous, and the column vector b i2 and the column vector b i3 are orthogonal to each other.
  • a i [a i1 , a i2 ], wherein the column vector a i1 and the column vector a i2 are DFT vectors; wherein the phase of the column vector a i1 and the column vector a i2 are discontinuous;
  • B i [b i1 , b i2 ], wherein the column vector b i1 and the column vector b i2 are both DFT vectors; wherein the phase of the column vector b i1 and the column vector b i2 are discontinuous.
  • a i [a i1 , a i2 ], wherein the column vector a i1 and the column vector a i2 are DFT vectors; wherein the column vector a i1 and the column vector a i2 are orthogonal to each other;
  • B i [b i1 , b i2 ], wherein the column vector b i1 and the column vector b i2 are both DFT vectors; wherein the column vector b i1 and the column vector b i2 are orthogonal to each other.
  • a precoding method including:
  • a precoding matrix from a codebook, the codebook comprising at least one precoding matrix W, wherein W satisfies a product of two matrices W 1 and W 2 ;
  • W 1 is a block diagonal matrix
  • the W 1 includes a number of block matrices N B greater than or equal to 1, wherein each of the block matrices X i satisfies the Kronecker product of the matrix A i and the matrix B i , or
  • col() represents a column selection function, 1 ⁇ i ⁇ N B ; wherein at least one of the total 2N B matrices corresponding to the A i and the B i contains two adjacent column vectors
  • the column vector is non-contiguous, or at least one of the total 2N B matrices corresponding to the A i and the B i includes two column vectors orthogonal to each other.
  • At least one of the total 2N B matrices corresponding to the A i and the B i includes two columns in a column vector The vectors are orthogonal, and the two column vectors are adjacent column vectors.
  • the matrix corresponding to the A i and the B i respectively correspond to a horizontal dimension and a vertical
  • the channel characteristics of the dimension, or the matrix corresponding to the A i and the B i respectively correspond to the channel characteristics of the vertical dimension and the horizontal dimension.
  • At least one of the matrixes included in the matrix corresponding to A i includes any two adjacent column vectors orthogonal to each other, or at least one of the matrices corresponding to the matrix B i includes a column vector Any two adjacent column vectors are orthogonal to each other.
  • At least one of the matrices in the matrix corresponding to the A i includes at least one set of adjacent column vectors that are consecutive in phase and a set of adjacent column vectors that are not consecutive in phase;
  • At least one of the matrices in the matrix corresponding to the B i includes a column vector including at least one set of adjacent column vectors that are consecutive in phase and a set of adjacent column vectors that are not continuous in phase.
  • At least one of the matrices corresponding to the A i includes a column vector
  • At least one of the matrices corresponding to the B i includes a column vector.
  • At least one of the matrixes corresponding to the A i includes a phase of adjacent column vectors in a column vector, and at least one of the matrixes corresponding to the B i includes at least one of the column vectors Column vector phase is not continuous;
  • At least one of the matrices included in the matrix corresponding to the B i includes adjacent column vectors in a phase continuous, and at least one of the matrices included in the matrix corresponding to the A i includes at least one adjacent one of the column vectors
  • the column vector phase is not continuous.
  • At least one of the matrixes in the matrix corresponding to the A i includes adjacent column vectors that are consecutive in phase, and at least one of the matrix vectors included in the matrix corresponding to the B i contains at least two column vectors Orthogonal
  • At least one of the matrixes in the matrix corresponding to the B i includes adjacent column vectors consecutively, and at least one of the matrix vectors included in the matrix corresponding to the A i contains at least two column vectors Orthogonal.
  • a i [a i1 , a i2 , a i3 , a i4 ], wherein the column vector a i1 , the column vector a i2 , the column vector a i3 , and the column vector a i4 are all DFT vectors; wherein the column vector a i1 , Arbitrary two adjacent column vectors of the column vector a i2 and the column vector a i3 are consecutive, and the column vector a i3 and the column vector a i4 are orthogonal to each other;
  • B i [b i1 ,b i2 ,b i3 ,b i4 ], wherein the column vector b i1 , the column vector b i2 , the column vector b i3 , and the column vector b i4 are DFT vectors; wherein the column vector b i1 , Any two adjacent column vectors of the column vector b i2 and the column vector b i3 are consecutive in phase, and the column vector b i3 and the column vector b i4 are orthogonal to each other.
  • a i [a i1 , a i2 , a i3 , a i4 ], wherein the column vector a i1 , the column vector a i2 , the column vector a i3 , and the column vector a i4 are all DFT vectors; wherein the column vector a i1 and The phase of the column vector a i2 is continuous, the phase of the column vector b i3 and the column vector b i4 are continuous, and the column vector a i2 and the column vector a i3 are orthogonal to each other;
  • B i [b i1 , b i2 , b i3 , b i4 ], wherein the column vector b i1 , the column vector b i2 , the column vector b i3 , and the column vector b i4 are all DFT vectors; wherein the column vector b i1 and The phase of the column vector b i2 is continuous, the phase of the column vector b i3 and the column vector b i4 are continuous, and the column vector b i2 and the column vector b i3 are orthogonal to each other.
  • a i [a i1 , a i2 ], wherein the column vector a i1 and the column vector a i2 are DFT vectors; wherein the phase of the column vector a i1 and the column vector a i2 are discontinuous;
  • B i [b i1 , b i2 ], wherein the column vector b i1 and the column vector b i2 are both DFT vectors; wherein the phase of the column vector b i1 and the column vector b i2 are discontinuous.
  • a i [a i1 , a i2 ], wherein the column vector a i1 and the column vector a i2 are DFT vectors; wherein the column vector a i1 and the column vector a i2 are orthogonal to each other;
  • B i [b i1 , b i2 ], wherein the column vector b i1 and the column vector b i2 are both DFT vectors; wherein the column vector b i1 and the column vector b i2 are orthogonal to each other.
  • a terminal including:
  • a receiving module configured to receive a reference signal sent by the base station
  • a processing module configured to select, according to the reference signal, a precoding matrix from a codebook, where the codebook includes at least one W, where W is a product of two matrices W 1 and W 2 ;
  • W 1 is a block diagonal matrix
  • the W 1 includes a number of block matrices N B greater than or equal to 2, wherein each of the block matrices X i satisfies the Kronecker product of the matrix A i and the matrix B i , or
  • col() represents a column selection function, 1 ⁇ i ⁇ N B ; wherein at least one of the total 2N B matrices corresponding to the A i and the B i contains two adjacent column vectors
  • the column vector is non-contiguous, or at least one of the total 2N B matrices corresponding to the A i and the B i includes two column vectors orthogonal to each other;
  • a sending module configured to send a PMI to the base station, where the PMI is used to indicate the precoding matrix.
  • At least one of the total of 2N B matrices corresponding to the A i and the B i includes two columns in a column vector The vectors are orthogonal, and the two column vectors are adjacent column vectors.
  • the matrix corresponding to the A i and the B i respectively correspond to a horizontal dimension and a vertical
  • the channel characteristics of the dimension, or the matrix corresponding to the A i and the B i respectively correspond to the channel characteristics of the vertical dimension and the horizontal dimension.
  • At least one of the matrixes included in the matrix corresponding to A i includes any two adjacent column vectors orthogonal to each other, or at least one of the matrices corresponding to the matrix B i includes a column vector Any two adjacent column vectors are orthogonal to each other.
  • At least one of the matrices in the matrix corresponding to the A i includes at least one set of adjacent column vectors that are consecutive in phase and a set of adjacent column vectors that are not consecutive in phase;
  • At least one of the matrices in the matrix corresponding to the B i includes a column vector including at least one set of adjacent column vectors that are consecutive in phase and a set of adjacent column vectors that are not continuous in phase.
  • At least one of the matrices corresponding to the A i includes a column vector
  • At least one of the matrices corresponding to the B i includes a column vector.
  • At least one of the matrixes corresponding to the A i includes a phase of adjacent column vectors in a column vector, and at least one of the matrixes corresponding to the B i includes at least one of the column vectors Column vector phase is not continuous;
  • At least one of the matrices included in the matrix corresponding to the B i includes adjacent column vectors in a phase continuous, and at least one of the matrices included in the matrix corresponding to the A i includes at least one adjacent one of the column vectors
  • the column vector phase is not continuous.
  • At least one of the matrixes in the matrix corresponding to the A i includes adjacent column vectors that are consecutive in phase, and at least one of the matrix vectors included in the matrix corresponding to the B i contains at least two column vectors Orthogonal
  • At least one of the matrixes in the matrix corresponding to the B i includes adjacent column vectors in a phase continuous, and at least one of the matrix vectors in the matrix corresponding to the A i includes at least two column vectors Orthogonal.
  • a i [a i1 , a i2 , a i3 , a i4 ], wherein the column vector a i1 , the column vector a i2 , the column vector a i3 , and the column vector a i4 are all DFT vectors; wherein the column vector a i1 , Arbitrary two adjacent column vectors of the column vector a i2 and the column vector a i3 are consecutive, and the column vector a i3 and the column vector a i4 are orthogonal to each other;
  • B i [b i1 ,b i2 ,b i3 ,b i4 ], wherein the column vector b i1 , the column vector b i2 , the column vector b i3 , and the column vector b i4 are DFT vectors; wherein the column vector b i1 , Any two adjacent column vectors of the column vector b i2 and the column vector b i3 are consecutive in phase, and the column vector b i3 and the column vector b i4 are orthogonal to each other.
  • a i [a i1 , a i2 , a i3 , a i4 ], wherein the column vector a i1 , the column vector a i2 , the column vector a i3 , and the column vector a i4 are all DFT vectors; wherein the column vector a i1 and The phase of the column vector a i2 is continuous, the phase of the column vector b i3 and the column vector b i4 are continuous, and the column vector a i2 and the column vector a i3 are orthogonal to each other;
  • B i [b i1 , b i2 , b i3 , b i4 ], wherein the column vector b i1 , the column vector b i2 , the column vector b i3 , and the column vector b i4 are all DFT vectors; wherein the column vector b i1 and The phase of the column vector b i2 is continuous, the phase of the column vector b i3 and the column vector b i4 are continuous, and the column vector b i2 and the column vector b i3 are orthogonal to each other.
  • a i [a i1 , a i2 ], wherein the column vector a i1 and the column vector a i2 are DFT vectors; wherein the phase of the column vector a i1 and the column vector a i2 are discontinuous;
  • B i [b i1 , b i2 ], wherein the column vector b i1 and the column vector b i2 are both DFT vectors; wherein the phase of the column vector b i1 and the column vector b i2 are discontinuous.
  • a i [a i1 , a i2 ], wherein the column vector a i1 and the column vector a i2 are DFT vectors; wherein the column vector a i1 and the column vector a i2 are orthogonal to each other;
  • B i [b i1 , b i2 ], wherein the column vector b i1 and the column vector b i2 are both DFT vectors; wherein the column vector b i1 and the column vector b i2 are orthogonal to each other.
  • a base station including:
  • a sending module configured to send a reference signal to the terminal
  • a receiving module configured to receive a PMI that is sent by the terminal according to the reference signal
  • a processing module configured to select, according to the PMI, a precoding matrix from a codebook, where the codebook includes at least one precoding matrix W, where W is a product of two matrices W 1 and W 2 ;
  • W 1 is a block diagonal matrix
  • the W 1 includes a number of block matrices N B greater than or equal to 2, wherein each of the block matrices X i satisfies the Kronecker product of the matrix A i and the matrix B i , or
  • col() represents a column selection function, 1 ⁇ i ⁇ N B ; wherein at least one of the total 2N B matrices corresponding to the A i and the B i contains two adjacent column vectors
  • the column vector is non-contiguous, or at least one of the total 2N B matrices corresponding to the A i and the B i includes two column vectors orthogonal to each other.
  • At least one of a total of 2N B matrices corresponding to the A i and the B i includes two columns in a column vector The vectors are orthogonal, and the two column vectors are adjacent column vectors.
  • the matrix corresponding to the A i and the B i respectively correspond to a horizontal dimension and a vertical
  • the channel characteristics of the dimension, or the matrix corresponding to the A i and the B i respectively correspond to the channel characteristics of the vertical dimension and the horizontal dimension.
  • At least one of the matrixes included in the matrix corresponding to A i includes any two adjacent column vectors orthogonal to each other, or at least one of the matrices corresponding to the matrix B i includes a column vector Any two adjacent column vectors are orthogonal to each other.
  • At least one of the matrices in the matrix corresponding to the A i includes at least one set of adjacent column vectors that are consecutive in phase and a set of adjacent column vectors that are not consecutive in phase;
  • At least one of the matrices in the matrix corresponding to the B i includes a column vector including at least one set of adjacent column vectors that are consecutive in phase and a set of adjacent column vectors that are not continuous in phase.
  • At least one of the matrices corresponding to the A i includes a column vector
  • At least one of the matrices corresponding to the B i includes a column vector.
  • At least one of the matrixes corresponding to the A i includes a phase of adjacent column vectors in a column vector, and at least one of the matrixes corresponding to the B i includes at least one of the column vectors Column vector phase is not continuous;
  • At least one of the matrixes in the matrix corresponding to the B i includes adjacent column vectors that are consecutive in phase, and at least one of the matrixes corresponding to the A i includes at least one of the column vectors
  • the column vector phase is not continuous.
  • At least one of the matrixes in the matrix corresponding to the A i includes adjacent column vectors that are consecutive in phase, and at least one of the matrix vectors included in the matrix corresponding to the B i contains at least two column vectors Orthogonal
  • At least one of the matrixes in the matrix corresponding to the B i includes adjacent column vectors in a phase continuous, and at least one of the matrix vectors in the matrix corresponding to the A i includes at least two column vectors Orthogonal.
  • a i [a i1 , a i2 , a i3 , a i4 ], wherein the column vector a i1 , the column vector a i2 , the column vector a i3 , and the column vector a i4 are all DFT vectors; wherein the column vector a i1 , Arbitrary two adjacent column vectors of the column vector a i2 and the column vector a i3 are consecutive, and the column vector a i3 and the column vector a i4 are orthogonal to each other;
  • B i [b i1 ,b i2 ,b i3 ,b i4 ], wherein the column vector b i1 , the column vector b i2 , the column vector b i3 , and the column vector b i4 are DFT vectors; wherein the column vector b i1 , Any two adjacent column vectors of the column vector b i2 and the column vector b i3 are consecutive in phase, and the column vector b i3 and the column vector b i4 are orthogonal to each other.
  • a i [a i1 , a i2 , a i3 , a i4 ], wherein the column vector a i1 , the column vector a i2 , the column vector a i3 , and the column vector a i4 are all DFT vectors; wherein the column vector a i1 and The phase of the column vector a i2 is continuous, the phase of the column vector b i3 and the column vector b i4 are continuous, and the column vector a i2 and the column vector a i3 are orthogonal to each other;
  • B i [b i1 , b i2 , b i3 , b i4 ], wherein the column vector b i1 , the column vector b i2 , the column vector b i3 , and the column vector b i4 are all DFT vectors; wherein the column vector b i1 and The phase of the column vector b i2 is continuous, the phase of the column vector b i3 and the column vector b i4 are continuous, and the column vector b i2 and the column vector b i3 are orthogonal to each other.
  • a i [a i1 , a i2 ], wherein the column vector a i1 and the column vector a i2 are DFT vectors; wherein the phase of the column vector a i1 and the column vector a i2 are discontinuous;
  • B i [b i1 , b i2 ], wherein the column vector b i1 and the column vector b i2 are both DFT vectors; wherein the phase of the column vector b i1 and the column vector b i2 are discontinuous.
  • a i [a i1 , a i2 ], wherein the column vector a i1 and the column vector a i2 are DFT vectors; wherein the column vector a i1 and the column vector a i2 are orthogonal to each other;
  • B i [b i1 , b i2 ], wherein the column vector b i1 and the column vector b i2 are both DFT vectors; wherein the column vector b i1 and the column vector b i2 are orthogonal to each other.
  • W 1 may include a plurality of block matrices, and each block matrix may be represented as a matrix A i and a matrix B i of Kronecker (Kronecker) ), so that W can not only support horizontal dimension antennas, but also support vertical dimension antennas, providing a new codebook for 3D-MIMO systems.
  • At least one of the total 2N B matrices corresponding to A i and B i includes two adjacent vector phase discontinuities in the vector, or matrix A i and matrix B i
  • the number of vectors in 1 is the number of vectors in 1 .
  • 1A-1B are schematic diagrams showing two antenna configurations of 3D-MIMO
  • FIG. 2 is a flowchart of a first precoding method according to an embodiment of the present invention.
  • FIG. 3 is a flowchart of a second precoding method according to an embodiment of the present invention.
  • FIG. 4 is a structural block diagram of a terminal according to an embodiment of the present invention.
  • FIG. 5 is a structural block diagram of a base station according to an embodiment of the present invention.
  • FIG. 6 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
  • FIG. 7 is a schematic structural diagram of a base station according to an embodiment of the present invention.
  • a terminal which is a device that provides voice and/or data connectivity to a user, for example, may include a handheld device with wireless connectivity, or a processing device connected to a wireless modem.
  • the terminal can communicate with the core network via the RAN to exchange voice and/or data with the RAN.
  • the terminal may be referred to as a UE (user equipment), a wireless terminal, a mobile terminal, a Subscriber Unit, a Subscriber Station, a Mobile Station, a Mobile, a remote station ( Remote Station), AP (Access Point), Remote Terminal, Access Terminal, User Terminal, User Generation User Agent, User Device, etc.
  • it can be a mobile phone (or "cellular" phone), a computer with a mobile terminal, a portable, pocket, handheld, computer built-in or in-vehicle mobile device.
  • PCS Personal Communication Service
  • cordless telephone SIP (Session Initiation Protocol) telephone
  • WLL Wireless Local Loop
  • PDA Personal Digital Assistant
  • a network device such as a base station (e.g., an access point), may specifically refer to a device in the access network that communicates with the wireless terminal over one or more sectors over the air interface.
  • the base station can be used to convert the received air frame to the IP packet as a router between the wireless terminal and the rest of the access network, wherein the remainder of the access network can include an Internet Protocol (IP) network.
  • IP Internet Protocol
  • the base station can also coordinate attribute management of the air interface.
  • the base station may be an evolved base station (NodeB or eNB or e-NodeB, evolutional Node B) in a system such as LTE (Long Term Evolution) or LTE-A (LTE-Advanced).
  • NodeB or eNB or e-NodeB evolutional Node B
  • LTE Long Term Evolution
  • LTE-A LTE-Advanced
  • the dimensions of the column vector are not limited.
  • the number of elements in the column vector may be 2, 3, 4, 5, 6, 7, or 8, etc.
  • MIMO Multiple-Input Multiple-Output
  • MIMO Multiple-Input Multiple-Output
  • the transmitting end is transmitted by one antenna and the receiving end is received by one antenna, it can be regarded as a first-class (stream, or layer) data transmission, for example, the transmitting end transmits with two antennas, and the receiving end receives with two antennas, It can be considered as a second-rate data transmission, and so on.
  • 3D-MIMO technology provides additional degrees of freedom in the vertical dimension, enabling signal transmission to be adjusted in both horizontal and vertical dimensions.
  • 3D-MIMO pushes MIMO technology to a higher stage of development, which opens up a broader space for the performance improvement of LTE transmission technology, making it possible to further reduce inter-cell interference, improve system throughput and spectrum efficiency.
  • 3D-MIMO is based on traditional 2D-MIMO, adding one dimension to the vertical dimension. Effective use of channel information in this dimension can effectively suppress the same between cells. Frequency user interference, thereby increasing the average throughput of edge users and even the entire cell.
  • the antenna architecture of the planar antenna array includes two antenna configurations as shown in FIG. 1A and FIG. 1B, wherein, in the configuration shown in FIG. 1A, there are 8 horizontal directions.
  • Antenna dual-polarized with 2 antennas in the vertical direction.
  • Fig. 1B there are four antennas in the horizontal direction (dual polarization) and four antennas in the vertical direction.
  • system and “network” in the embodiments of the present invention may be used interchangeably.
  • Multiple means two or more.
  • the character "/”, unless otherwise specified, generally indicates that the contextual object is an "or" relationship.
  • the high rank i.e., rank higher antenna, such as 3 or more
  • W 1 contains the required ratio of lower rank (i.e., rank than the antenna Low, such as 2 or less), more column vectors, and the oversampling rate of W 1 will drop to make it easier to find orthogonal vectors.
  • the current codebook is only for the horizontal one-dimensional design, and cannot support the horizontal and vertical two-dimensional 3D-MIMO channel space. That is, the precoding vector corresponding to the current codebook has only the degree of freedom of the horizontal dimension, and cannot simultaneously perform the horizontal dimension and Adjustment of the vertical dimension. In order to support and present a high rank of the code, the current codebook vector is necessary to increase the number of columns each comprising by W 1, and to reduce the oversampling ratio, which can lead to loss of performance.
  • W 1 may include one or more block matrices, and each block matrix may be represented as a matrix A i and a matrix B i .
  • the Kronecker product makes W not only support horizontal dimension antennas, but also supports vertical dimension antennas, providing a new codebook for 3D-MIMO systems.
  • At least one of the matrix A i or the matrix B i includes two adjacent vector phases that are discontinuous, or at least one of the matrix A i or the matrix B i includes the vector has two orthogonal vectors, which ensures support 3D-MIMO codebook at high Rank, orthogonal vectors can be found, without reducing the sampling rate, and without increasing the number of vectors W 1, Improve system performance.
  • an embodiment of the present invention provides a precoding method, which may be performed by a terminal, for example, or may be performed by other communication devices. The flow of the method is described below.
  • Step 201 Receive a reference signal sent by the base station.
  • W 1 is a block diagonal matrix
  • W 1 includes a number of block matrices N B greater than or equal to 1, wherein each block matrix X i is represented as a Kronecker product of the matrix A i and the matrix B i , or or or among them, Denotes Kronecker product operator, COL () represents the column selection function to select one or more column vectors, 1 ⁇ i ⁇ N B; where A i and B i 2N B corresponding to a total of at least one matrix of a matrix comprising There are two adjacent column vectors in the vector that are non-contiguous, or at least one of the total 2N B matrices corresponding to A i and B i contains two column vectors orthogonal to each other;
  • Step 203 Send a PMI to the base station, where the PMI is used to indicate the precoding matrix.
  • a total of 2N B matrices corresponding to A i and B i refers to a matrix
  • an embodiment of the present invention provides another precoding method, which may be performed by, for example, a base station, or may be performed by other network devices.
  • the method is performed by a base station as an example. The flow of the method is described below.
  • Step 301 Send a reference signal to the terminal.
  • Step 302 Receive a PMI sent by the terminal.
  • Step 303 Select, according to the PMI, a precoding matrix from a codebook, where the codebook includes at least one precoding matrix W, where W is a product of two matrices W 1 and W 2 ;
  • W 1 is a block diagonal matrix
  • W 1 includes a block matrix having a number N B greater than or equal to 1, wherein each of the block matrices X i satisfies the Kronecker product of the matrix A i and the matrix B i , or or or Where col() represents a column selection function, 1 ⁇ i ⁇ N B ; wherein at least one of the total 2N B matrices corresponding to A i and B i contains two adjacent column vector phases in the column vector Continuously, or, at least one of a total of 2N B matrices corresponding to A i and B i includes two column vectors orthogonal to each other.
  • a total of 2N B matrices corresponding to A i and B i refers to a matrix
  • FIG. 2 and FIG. 3 are two corresponding method flows, that is, FIG. 2 can be regarded as an execution process of a PMI sender, and FIG. 3 can be regarded as an execution process of a PMI receiver, so the contents of the two processes can be mutually For reference, the following is introduced together by interaction.
  • the reference signal may include a CSI RS (channel state information reference signal), or a DM RS (demodulation RS, demodulation reference signal), or a CRS (cell-specific RS, cell-specific reference signal), etc. Wait.
  • CSI RS channel state information reference signal
  • DM RS demodulation RS, demodulation reference signal
  • CRS cell-specific RS, cell-specific reference signal
  • the terminal may receive a notification from a base station (for example, an eNB), such as RRC (Radio Resource Control) or DCI (Downlink Control Information) or based on a cell identifier (for example, a cell).
  • a base station for example, an eNB
  • RRC Radio Resource Control
  • DCI Downlink Control Information
  • a cell identifier for example, a cell.
  • the ID is obtained by the resource configuration of the reference signal, and the reference signal is obtained in the corresponding resource or subframe.
  • the terminal may select a precoding matrix from a subset of the codebook or the codebook based on the reference signal.
  • the terminal and the base station may store the same codebook or a subset of the codebook, and at least one precoding matrix in the subset of the codebook or the codebook conforms to the features in the embodiment of the present invention.
  • selecting a precoding matrix from a subset of the codebook or the codebook based on the reference signal includes:
  • the precoding matrix is selected from a subset of the codebook or codebook based on predefined criteria such as channel capacity or throughput maximization criteria or chord minimization criteria, and the like.
  • the terminal selects the precoding matrix from the codebook or the subset of the codebook based on the pre-defined criteria as an existing technology, and details are not described herein.
  • the embodiment of the present invention is mainly directed to a dual codebook or a multi-codebook structure, and takes a dual codebook structure as an example.
  • a precoding matrix in a dual codebook structure satisfies
  • W 1 is a broadband or long-term channel characteristic
  • W 2 represents a sub-band or short-term channel characteristic
  • W 2 contains a column selection vector and a phase rotation weighting factor (co-phasing).
  • W 2 can be expressed as: Where a is a constant, For the phase rotation weighting factor, a represents the weighting value on different polarized antennas.
  • Q, m represents an integer, respectively
  • the value of m is associated with the values of Y 1 and Y 2 .
  • Y 1 or Y 2 selects the first vector
  • m 0
  • Y 1 or Y 2 selects the second vector.
  • m 1.
  • Y 1 and Y 2 are column selection vectors, for example, Indicates that the first vector is selected among the four vectors. Indicates that the first vector is selected in two vectors. Indicates that the second vector is selected among the eight vectors.
  • a, b, c, and d are constants, respectively.
  • Embodiments of the present invention is designed and optimized for W 1, W meet such 3D-MIMO channel characteristics, in particular, to support data transmission of higher rank.
  • Described herein means that the present invention is designed for W 1, the corresponding codebook corresponding rank may be 6, 7, 8, or the like.
  • each of the block matrices in W 1 can be represented as a Kronecker product of the matrix A i and the matrix B i , this allows W to support not only antenna arrays of horizontal and vertical dimensions.
  • At least one of the total 2N B matrices corresponding to A i and B i includes two adjacent column vectors that are phase discontinuous, or a total of 2N B corresponding to A i and B i
  • At least one of the matrices in the matrix contains two column vectors orthogonal to each other, which ensures that orthogonal vectors can be found in the high rank codebook without reducing the sampling rate or increasing the W 1 The number of vectors and improve system performance.
  • At least one of the total 2N B matrices corresponding to A i and B i includes two column vectors orthogonal to the column vector, and the two orthogonal The column vector is an adjacent column vector.
  • the matrix corresponding to the A i corresponds to the channel characteristic of the horizontal dimension
  • the matrix corresponding to the B i corresponds to the channel characteristic of the vertical dimension
  • the matrix corresponding to the A i corresponds to the vertical dimension
  • the channel characteristics, the matrix corresponding to B i corresponds to the channel characteristics of the horizontal dimension.
  • a 1 , B 1 , A 2 , and B 2 are a matrix or a vector, for example, Represents that U 1 , U 2 , V 1 , and V 2 column vectors, respectively (where U 1 , U 2 , V 1 , and V 2 are integers greater than or equal to 1, respectively), and col() represents a column selection function, such as Express choice One or more column vectors in .
  • U and V are integers greater than or equal to 1, respectively.
  • At least one of the matrix vectors included in the matrix corresponding to A i is orthogonal to any two adjacent column vectors, which may be understood as corresponding to A i
  • At least one of the matrixes included in the matrix the column vectors are orthogonal to each other, or at least one of the matrixes corresponding to the matrix corresponding to B i contains any two adjacent column vectors Orthogonal to each other, it can be understood that at least one of the matrices included in the matrix corresponding to B i is orthogonal to each other in the column vector.
  • At least one of the matrices in the matrix corresponding to A i or at least one of the matrices in the matrix corresponding to B i includes at least one of the matrix vectors, and the column vectors are orthogonal to each other, it is obviously high.
  • rank transmission there is no need to reduce the sampling rate, and there is no need to make W 1 contain too many column vectors to improve system performance.
  • At least one of the matrices included in the matrix corresponding to A i includes at least one set of adjacent column vectors of phase continuous and a set of adjacent column vectors of discontinuous phase, which can be understood as a matrix corresponding to A i
  • At least one matrix comprises a plurality of column vectors in which there are both adjacent column vectors of consecutive phases and adjacent column vectors of non-contiguous phases;
  • At least one of the matrices in the matrix corresponding to B i includes at least one set of adjacent column vectors of phase continuous and a set of adjacent column vectors of discontinuous phase, and can also be understood as a matrix corresponding to B i
  • At least one of the matrices includes a plurality of column vectors in which there are both adjacent column vectors that are consecutive in phase, and adjacent column vectors that are non-contiguous in phase.
  • At least one of the matrices corresponding to A i includes a column vector
  • At least one of the matrices corresponding to B i includes a column vector.
  • At least one of the matrices corresponding to A i may include one or more column vectors, or at least one of the matrices corresponding to B i may also include one or more column vectors.
  • At least one of the matrixes corresponding to the matrix of A i includes adjacent column vectors that are consecutive in phase, and at least one of the matrixes corresponding to the matrix of B i includes at least one set of adjacent column vector phases continuous;
  • At least one of the matrixes in the matrix corresponding to B i includes adjacent column vectors that are consecutive in phase, and at least one matrix in the matrix corresponding to A i contains at least one adjacent column vector phase in the column vector continuous.
  • the matrix may have at least a column vector comprising at least one set of adjacent The phase of the column vector is not continuous.
  • At least one of the matrixes corresponding to the matrix of A i includes adjacent column vectors that are consecutive in phase, and at least one of the matrix vectors included in the matrix corresponding to B i is orthogonal to each other;
  • At least one of the matrixes in the matrix corresponding to B i includes adjacent column vectors that are consecutive in phase, and at least one of the column vectors included in the matrix corresponding to A i is orthogonal to each other.
  • At least one of the at least one matrix in the matrix corresponding to A i and at least one of the matrices corresponding to B i has at least one matrix including at least two column vectors mutually positive cross.
  • a i [a i1 , a i2 , a i3 , a i4 ], wherein the column vector a i1 , the column vector a i2 , the column vector a i3 , and the column vector a i4 are all DFT vectors; wherein the column vector a i1 , the column vector Any two adjacent column vectors in a i2 and column vector a i3 are consecutive in phase, and column vector a i3 and column vector a i4 are orthogonal to each other;
  • B i [b i1 ,b i2 ,b i3 ,b i4 ], wherein the column vector b i1 , the column vector b i2 , the column vector b i3 , and the column vector b i4 are all DFT vectors; wherein the column vector b i1 , the column vector Any two adjacent column vectors in b i2 and column vector b i3 are consecutive in phase, and column vector b i3 and column vector b i4 are orthogonal to each other.
  • a i [a i1 , a i2 , a i3 , a i4 ] can be understood as one of the matrices corresponding to A i .
  • B i [b i1 ,b i2 ,b i3 ,b i4 ] can be understood as one of the matrices corresponding to B i .
  • a i [a i1 , a i2 , a i3 , a i4 ], wherein the column vector a i1 , the column vector a i2 , the column vector a i3 , and the column vector a i4 are all DFT vectors; wherein the column vector a i1 and the column vector
  • the phase of a i2 is continuous, the phases of the column vector b i3 and the column vector b i4 are continuous, and the column vector a i2 and the column vector a i3 are orthogonal to each other;
  • B i [b i1 ,b i2 ,b i3 ,b i4 ], wherein the column vector b i1 , the column vector b i2 , the column vector b i3 , and the column vector b i4 are all DFT vectors; wherein the column vector b i1 and the column vector
  • the phase of b i2 is continuous, the phases of the column vector b i3 and the column vector b i4 are continuous, and the column vector b i2 and the column vector b i3 are orthogonal to each other.
  • a i [a i1 , a i2 , a i3 , a i4 ] can be understood as one of the matrices corresponding to A i .
  • B i [b i1 ,b i2 ,b i3 ,b i4 ] can be understood as one of the matrices corresponding to B i .
  • a i [a i1 , a i2 ], wherein the column vector a i1 and the column vector a i2 are DFT vectors; wherein the phase of the column vector a i1 and the column vector a i2 are discontinuous;
  • B i [b i1 , b i2 ], wherein the column vector b i1 and the column vector b i2 are DFT vectors; wherein the phase of the column vector b i1 and the column vector b i2 are discontinuous.
  • a i [a i1 , a i2 ] can be understood as one of the matrices in the matrix corresponding to A i .
  • B i [b i1 , b i2 ] can be understood as one of the matrices corresponding to B i .
  • the phases of the two column vectors are discontinuous, and similarly, if at least one matrix in the matrix corresponding to B i includes two Column vectors, then the phase of the two column vectors is non-contiguous.
  • a i [a i1 , a i2 ], wherein the column vector a i1 and the column vector a i2 are DFT vectors; wherein the column vector a i1 and the column vector a i2 are orthogonal to each other;
  • B i [b i1 , b i2 ], wherein the column vector b i1 and the column vector b i2 are both DFT vectors; wherein the column vector b i1 and the column vector b i2 are orthogonal to each other.
  • a i [a i1 , a i2 ] can be understood as one of the matrices corresponding to A i .
  • B i [b i1 , b i2 ] can be understood as one of the matrices corresponding to B i .
  • the phases of the two column vectors are discontinuous, and similarly, if at least one matrix in the matrix corresponding to B i includes two Column vector, then the two column vectors are orthogonal to each other.
  • the phase change between adjacent column vectors in A 1 is continuous, or there may be only one column vector in A 1 .
  • every two adjacent column vectors in the four column vectors in A 1 are continuous.
  • two adjacent column vectors in B 1 are discontinuous.
  • the two column vectors in B 1 are orthogonal, in which case P is equal to 1, N 2 is equal to 2, or,
  • a 1 represents a channel characteristic of a horizontal dimension
  • B 1 represents a channel characteristic of a vertical dimension
  • a 1 represents a channel characteristic of a vertical dimension
  • B 1 represents a channel characteristic of a horizontal dimension
  • the matrix dimensions of A 1 and B 1 are variable.
  • the number of rows of the matrix A 1 may be 2, 3, 4, 5, 6, or 8, etc., and the number of columns may be 1, 2, 3, 4, 5, 6, or 8, and the like.
  • the number of rows of the matrix B 1 may be 2, 3, 4, 5, 6, or 8, etc., and the number of columns may be 2, 3, 4, 5, 6, or 8, and the like.
  • a 1 in the matrix A 1 has an adjacent portion of the continuous column vector, there is a column portion between adjacent vectors noncontinuous, i.e. large pitch, or orthogonal.
  • a 1 in the formula (4-a) or B 1 in the formula (4-b) the first two adjacent column vectors are continuous in phase, and the latter two adjacent column vectors are continuous in phase, but if When P 1 > 2, the phases of the two column vectors of the second column and the third column are not continuous.
  • a 1 in the formula (5-a) or B 1 in the formula (5-b) the phases of the first three column vectors are continuous, and if P 1 >3, the two columns of the third column and the fourth column The phase between the column vectors is not continuous.
  • the two column vectors of the second column and the third column are orthogonal to each other, or the two column vectors of the first column and the third column are mutually mutually Orthogonal, or the two column vectors of the first column and the fourth column are orthogonal to each other.
  • the two column vectors of the third column and the fourth column are orthogonal to each other, or the two column vectors of the first column and the fourth column are orthogonal to each other, or The two column vectors of the second column and the fourth column are orthogonal to each other.
  • the two column vectors of the first column and the third column are orthogonal to each other, and the two column vectors of the second column and the fourth column are also orthogonal to each other.
  • the dimension of the matrix A 1 is variable.
  • the number of A 1 lines may be 2, 3, 4, 5, 6, or 8, etc.
  • the number of columns may be 2, 3, 4, 5, 6, or 8, and the like.
  • a 1 can also be expressed as
  • the matrix B 1 is not limited.
  • B 1 may be a matrix composed of phase-continuous column vectors, such as:
  • the matrix B 1 is composed of column vectors in which the phases between adjacent column vectors are not continuous, such as:
  • a 1 is not limited.
  • a 1 may be a matrix composed of phase-continuous column vectors, such as:
  • the matrix A 1 is composed of column vectors in which the phases between adjacent column vectors are not continuous, such as:
  • matrix B 1 is variable.
  • the number of rows of B 1 may be 2, 3, 4, 5, 6, or 8, etc.
  • the number of columns may be 1, 2, 3, 4, 5, 6, or 8, and the like.
  • the PMI corresponds to the precoding matrix selected by the terminal, and after receiving the PMI, the base station may obtain the precoding matrix selected by the terminal according to the PMI.
  • the PMI sent to the base station may include only one value.
  • the PMI may be directly used to indicate a corresponding precoding matrix in the codebook or the codebook subset.
  • the codebook subset may be: for example, the codebook includes a total of 256 different precoding matrices, and the set of precoding matrices used by the base station and the terminal includes 128 precoding matrices therein, then the 128 precoding matrices
  • the set of coding matrices is the codebook subset.
  • PMI 0, ..., 127 can be used to indicate different precoding matrices in the codebook subset, respectively.
  • the PMI may be transmitted to a base station in the PMI1 and the PMI2 include, for example, where the PMI1 may be used in the embodiment of the present invention, W 1 indicating, for example, the PMI2 embodiment may be used in the present invention indicate W 2 in the example .
  • PMI1 and PMI2 may have different time domain or frequency domain granularity, or PMI1 and PMI2 respectively represent channel characteristics of different periods or bandwidths, or PMI1 and PMI2 are based on Different sub-frame periods or sub-band sizes are obtained.
  • the PMI1 may further include PMI11 and PMI12, for example, may be used to indicate PMI11 W 1 is A i, PMI12 W 1 may be used to indicate the B i.
  • the PMI 2 and the PMI 22 may also be included in the PMI 2.
  • PMI11, PMI12, and PMI2 may respectively represent Channel characteristics of different periods or bandwidths, or PMI 11, PMI 12, and PMI 2 may be derived based on different subframe periods or subband sizes.
  • the PMI 11 and the PMI 12 may send to the base station in different time periods or frequency domain granularities.
  • the terminal sends the PMI to the base station, and may be sent by using a PUCCH (Physical Uplink Control Channel) or a PUSCH (Physical Uplink Shared Channel).
  • the base station can receive the PMI through the PUCCH or the PUSCH.
  • the precoding matrix W may be a precoding matrix after row permutation or column permutation.
  • different antenna numbers will correspondingly result in row permutation of the precoding matrix, and then the matrix after row permutation or column permutation is within the protection scope of the present invention.
  • the matrix A i or B i in W 1 may be a precoding matrix that has not undergone row permutation or column permutation, or may be a precoding matrix after row permutation or column permutation.
  • an embodiment of the present invention provides a terminal, where the terminal may include a receiving module 401, a processing module 402, and a sending module 403.
  • the receiving module 401 is configured to receive a reference signal sent by the base station
  • the processing module 402 is configured to select a precoding matrix from the codebook based on the reference signal, where the codebook includes at least one precoding matrix W, where W is a product of two matrices W 1 and W 2 ;
  • W 1 is a block diagonal matrix
  • W 1 includes a number of block matrices N B greater than or equal to 1, wherein each of the block matrices X i satisfies the Kronecker product of the matrix A i and the matrix B i , or
  • col() represents a column selection function, 1 ⁇ i ⁇ N B ; wherein at least one of the total 2N B matrices corresponding to A i and B i contains two adjacent column vector phases in the column vector Continuously, or, at least one of a total of 2N B matrices corresponding to A i and B i includes two column vectors orthogonal to each other;
  • the sending module 403 is configured to send a PMI to the base station, where the PMI is used to indicate the precoding matrix.
  • At least one of the total 2N B matrices corresponding to A i and B i includes two column vectors orthogonal to the column vector, and the two orthogonal The column vector is an adjacent column vector.
  • the matrix corresponding to A i and B i respectively correspond to the channel characteristics of the horizontal dimension and the vertical dimension, or the matrix corresponding to A i and B i respectively correspond to the vertical dimension and the horizontal dimension respectively. Channel characteristics.
  • At least one matrix in the matrix corresponding to A i includes any two adjacent column vectors orthogonal to each other, or a matrix corresponding to B i At least one of the columns in the matrix contains any two adjacent column vectors that are orthogonal to each other.
  • At least one of the matrices in the matrix corresponding to A i includes at least one set of adjacent column vectors that are consecutive in phase and a set of adjacent column vectors that are not consecutive in phase;
  • At least one of the matrices in the matrix corresponding to B i includes at least one set of adjacent column vectors that are consecutive in phase and a set of adjacent column vectors that are not continuous in phase.
  • At least one of the matrices corresponding to A i includes a column vector
  • At least one of the matrices corresponding to B i includes a column vector.
  • At least one of the matrixes corresponding to the matrix of A i includes adjacent column vectors that are consecutive in phase, and at least one of the matrixes corresponding to the matrix of B i includes at least one set of adjacent column vector phases continuous;
  • At least one of the matrixes in the matrix corresponding to B i includes adjacent column vectors that are consecutive in phase, and at least one matrix in the matrix corresponding to A i contains at least one adjacent column vector phase in the column vector continuous.
  • At least one of the matrixes corresponding to the matrix of A i includes adjacent column vectors that are consecutive in phase, and at least one of the matrix vectors included in the matrix corresponding to B i is orthogonal to each other;
  • At least one of the matrixes in the matrix corresponding to B i includes adjacent column vectors that are consecutive in phase, and at least one of the column vectors included in the matrix corresponding to A i is orthogonal to each other.
  • a i [a i1 , a i2 , a i3 , a i4 ], wherein the column vector a i1 , the column vector a i2 , the column vector a i3 , and the column vector a i4 are all DFT vectors; wherein the column vector a i1 , the column vector Any two adjacent column vectors in a i2 and column vector a i3 are consecutive in phase, and column vector a i3 and column vector a i4 are orthogonal to each other;
  • B i [b i1 ,b i2 ,b i3 ,b i4 ], wherein the column vector b i1 , the column vector b i2 , the column vector b i3 , and the column vector b i4 are all DFT vectors; wherein the column vector b i1 , the column vector Any two adjacent column vectors in b i2 and column vector b i3 are consecutive in phase, and column vector b i3 and column vector b i4 are orthogonal to each other.
  • a i [a i1 , a i2 , a i3 , a i4 ], wherein the column vector a i1 , the column vector a i2 , the column vector a i3 , and the column vector a i4 are all DFT vectors; wherein the column vector a i1 and the column vector
  • the phase of a i2 is continuous, the phases of the column vector b i3 and the column vector b i4 are continuous, and the column vector a i2 and the column vector a i3 are orthogonal to each other;
  • B i [b i1 ,b i2 ,b i3 ,b i4 ], wherein the column vector b i1 , the column vector b i2 , the column vector b i3 , and the column vector b i4 are all DFT vectors; wherein the column vector b i1 and the column vector
  • the phase of b i2 is continuous, the phases of the column vector b i3 and the column vector b i4 are continuous, and the column vector b i2 and the column vector b i3 are orthogonal to each other.
  • a i [a i1 , a i2 ], wherein the column vector a i1 and the column vector a i2 are DFT vectors; wherein the phase of the column vector a i1 and the column vector a i2 are discontinuous;
  • B i [b i1 , b i2 ], wherein the column vector b i1 and the column vector b i2 are DFT vectors; wherein the phase of the column vector b i1 and the column vector b i2 are discontinuous.
  • a i [a i1 , a i2 ], wherein the column vector a i1 and the column vector a i2 are DFT vectors; wherein the column vector a i1 and the column vector a i2 are orthogonal to each other;
  • B i [b i1 , b i2 ], wherein the column vector b i1 and the column vector b i2 are both DFT vectors; wherein the column vector b i1 and the column vector b i2 are orthogonal to each other.
  • an embodiment of the present invention provides a base station, where the base station may include a sending module 501, a receiving module 502, and a processing module 503.
  • the sending module 501 is configured to send a reference signal to the terminal.
  • the receiving module 502 is configured to receive a PMI sent by the terminal according to the reference signal
  • the processing module 503 is configured to select, according to the PMI, a precoding matrix from a codebook, where the codebook includes at least one precoding matrix W, where W is a product of two matrices W 1 and W 2 ;
  • W 1 is a block diagonal matrix
  • W 1 includes a block matrix having a number N B greater than or equal to 1, wherein each of the block matrices X i satisfies the Kronecker product of the matrix A i and the matrix B i , or
  • col() represents a column selection function, 1 ⁇ i ⁇ N B ; wherein at least one of the total 2N B matrices corresponding to A i and B i contains two adjacent column vector phases in the column vector Continuously, or, at least one of a total of 2N B matrices corresponding to A i and B i includes two column vectors orthogonal to each other.
  • At least one of the total 2N B matrices corresponding to A i and B i includes two column vectors orthogonal to the column vector, and the two orthogonal The column vector is an adjacent column vector.
  • the matrix corresponding to A i and B i respectively correspond to the channel characteristics of the horizontal dimension and the vertical dimension, or the matrix corresponding to A i and B i respectively correspond to the vertical dimension and the horizontal dimension respectively. Channel characteristics.
  • At least one matrix in the matrix corresponding to A i includes any two adjacent column vectors orthogonal to each other, or a matrix corresponding to B i At least one of the columns in the matrix contains any two adjacent column vectors that are orthogonal to each other.
  • At least one of the matrices in the matrix corresponding to A i includes at least one set of adjacent column vectors that are consecutive in phase and a set of adjacent column vectors that are not consecutive in phase;
  • At least one of the matrices in the matrix corresponding to B i includes at least one set of adjacent column vectors that are consecutive in phase and a set of adjacent column vectors that are not continuous in phase.
  • At least one of the matrices corresponding to A i includes a column vector
  • At least one of the matrices corresponding to B i includes a column vector.
  • At least one of the matrixes corresponding to the matrix of A i includes adjacent column vectors that are consecutive in phase, and at least one of the matrixes corresponding to the matrix of B i includes at least one set of adjacent column vector phases continuous;
  • At least one of the matrixes in the matrix corresponding to B i includes adjacent column vectors that are consecutive in phase, and at least one matrix in the matrix corresponding to A i contains at least one adjacent column vector phase in the column vector continuous.
  • At least one of the matrixes corresponding to the matrix of A i includes adjacent column vectors that are consecutive in phase, and at least one of the matrix vectors included in the matrix corresponding to B i is orthogonal to each other;
  • At least one of the matrixes in the matrix corresponding to B i includes adjacent column vectors that are consecutive in phase, and at least one of the column vectors included in the matrix corresponding to A i is orthogonal to each other.
  • a i [a i1 , a i2 , a i3 , a i4 ], wherein the column vector a i1 , the column vector a i2 , the column vector a i3 , and the column vector a i4 are all DFT vectors; wherein the column vector a i1 , the column vector Any two adjacent column vectors in a i2 and column vector a i3 are consecutive in phase, and column vector a i3 and column vector a i4 are orthogonal to each other;
  • B i [b i1 ,b i2 ,b i3 ,b i4 ], wherein the column vector b i1 , the column vector b i2 , the column vector b i3 , and the column vector b i4 are all DFT vectors; wherein the column vector b i1 , the column vector Any two adjacent column vectors in b i2 and column vector b i3 are consecutive in phase, and column vector b i3 and column vector b i4 are orthogonal to each other.
  • a i [a i1 , a i2 , a i3 , a i4 ], wherein the column vector a i1 , the column vector a i2 , the column vector a i3 , and the column vector a i4 are all DFT vectors; wherein the column vector a i1 and the column vector
  • the phase of a i2 is continuous, the phases of the column vector b i3 and the column vector b i4 are continuous, and the column vector a i2 and the column vector a i3 are orthogonal to each other;
  • B i [b i1 ,b i2 ,b i3 ,b i4 ], wherein the column vector b i1 , the column vector b i2 , the column vector b i3 , and the column vector b i4 are all DFT vectors; wherein the column vector b i1 and the column vector
  • the phase of b i2 is continuous, the phases of the column vector b i3 and the column vector b i4 are continuous, and the column vector b i2 and the column vector b i3 are orthogonal to each other.
  • a i [a i1 , a i2 ], wherein the column vector a i1 and the column vector a i2 are DFT vectors; wherein the phase of the column vector a i1 and the column vector a i2 are discontinuous;
  • B i [b i1 , b i2 ], wherein the column vector b i1 and the column vector b i2 are DFT vectors; wherein the phase of the column vector b i1 and the column vector b i2 are discontinuous.
  • a i [a i1 , a i2 ], wherein the column vector a i1 and the column vector a i2 are DFT vectors; wherein the column vector a i1 and the column vector a i2 are orthogonal to each other;
  • B i [b i1 , b i2 ], wherein the column vector b i1 and the column vector b i2 are both DFT vectors; wherein the column vector b i1 and the column vector b i2 are orthogonal to each other.
  • an embodiment of the present invention provides a terminal, where the terminal may include a receiver 601, a processor 602, and a transmitter 603.
  • the processor 602 can be a CPU (Central Processing Unit) or an ASIC (Application Specific)
  • the integrated circuit which may be one or more integrated circuits for controlling program execution, may be a hardware circuit developed using an FPGA (Field Programmable Gate Array), and may be a baseband chip.
  • the receiver 601 and the transmitter 603 may belong to a radio frequency system for performing network communication with an external device, and may specifically communicate with an external device through a network such as an Ethernet, a radio access network, or a wireless local area network.
  • the receiver 601 and the transmitter 603 may be two independent hardware modules, or the receiver 601 and the transmitter 603 may be the same hardware module, that is, the hardware module can simultaneously implement the functions of sending and receiving, for example,
  • the hardware module can be an antenna or the like.
  • receivers 601 and transmitters 603 may be coupled to the processor 602 via a bus or may be coupled to the processor 602 via dedicated connection lines, respectively.
  • the code corresponding to the method shown above is solidified into the chip, thereby enabling the chip to perform the method shown in the previous embodiment while it is running.
  • How to design and program the processor 602 is a technique well known to those skilled in the art, and details are not described herein.
  • the terminal in this embodiment may be the same terminal as the terminal in the foregoing embodiments.
  • the processor 602 in this embodiment may implement the processing module 402 in FIG. 4, and the receiver 601 in this embodiment may be used.
  • the receiving module 401 in FIG. 4 is implemented, and the transmitter 603 in this embodiment can implement the transmitting module 403 in FIG.
  • an embodiment of the present invention provides a base station, where the base station may include a transmitter 701, a receiver 702, and a processor 703.
  • the processor 703 may be a CPU or an ASIC, may be one or more integrated circuits for controlling program execution, may be hardware circuits developed using an FPGA, and may be a baseband chip.
  • the receiver 702 and the transmitter 701 may belong to a radio frequency system for performing network communication with an external device, and may specifically communicate with an external device through a network such as an Ethernet, a radio access network, or a wireless local area network.
  • the receiver 702 and the transmitter 701 may be two independent hardware modules, or the receiver 702 and the transmitter 701 may be the same hardware module, that is, the hardware module can simultaneously transmit and receive.
  • the function of receiving, for example, the hardware module may be an antenna or the like.
  • receivers 702 and transmitters 701 may be connected to the processor 703 via a bus, or may be connected to the processor 703 via dedicated connection lines, respectively.
  • the code corresponding to the method shown above is solidified into the chip, thereby enabling the chip to perform the method shown in the previous embodiment while it is running. How to design and program the processor 703 is a technique well known to those skilled in the art, and details are not described herein again.
  • the base station in this embodiment may be the same base station as the base station in the foregoing embodiments.
  • the processor 703 in this embodiment may implement the processing module 503 in FIG. 5, and the receiver 702 in this embodiment may The receiving module 502 in FIG. 5 is implemented, and the transmitter 701 in this embodiment can implement the transmitting module 501 in FIG.
  • the device in the embodiment of the present invention corresponds to the foregoing method, and the working process of the module in the device may refer to the description of the method part, and the repeated content is not described in detail.
  • W 1 may include multiple block matrices, and each block matrix may be represented as a Kronecker product of the matrix A i and the matrix B i , thus W can not only support horizontal dimension antennas, but also support vertical dimension antennas, providing a new codebook for 3D-MIMO systems.
  • At least one of the total 2N B matrices corresponding to A i and B i includes two adjacent vectors that are discontinuous, or A i and B i
  • At least one of the total 2N B matrices contains two vectors orthogonal to each other, which ensures that the codebook supporting 3D-MIMO can find orthogonal vectors at high rank without reducing the sampling. Rate, there is no need to increase the number of vectors in W 1 .
  • the disclosed apparatus and method may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the unit or unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be used. Combinations can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
  • a computer readable storage medium A number of instructions are included to cause a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the methods described in various embodiments of the present application.
  • the foregoing storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Radio Transmission System (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

本发明涉及移动通信技术领域,尤其涉及一种预编码方法及装置,用于解决目前的码本方案已经不再适用于3D-MIMO下新的天线形态的技术问题;本发明实施例中提供了一种新的W1的形态,即W1可以包含多个分块矩阵,且每个分块矩阵可表示为矩阵Ai和矩阵Bi的Kronecker积,这样就使得W不仅能支持水平维度的天线,还能够支持垂直维度的天线,为3D-MIMO系统提供了新的码本。

Description

一种预编码方法及装置 技术领域
本发明涉及移动通信技术领域,尤其涉及一种预编码方法及装置。
背景技术
在无线通信系统中,发射端在获得CSI(Channel State Information,信道状态信息)后,可以通过预编码矩阵发射信号,以提高整个系统性能。例如接收端的信号可以表示为
y=HVs+n
其中,y表示接收端信号,H表示信道状态信息,V表示预编码矩阵,s表示信号,n表示噪声。在发射端和接收端一般都存储有预编码矩阵V构成的集合,也称为码本,通过接收端反馈PMI(Precoding Matrix Indicator,预编码矩阵指示),发射端就可以获得发射信号所需要的预编码矩阵。
目前,在LTE(Long Term Evolution,长期演进)系统中,预编码矩阵可以是单码本反馈也可以是双码本反馈,比如在Release-10版本及以后版本的8天线系统的预编码方案以及Release-12版本的4天线预编码方案都采用了双码本结构。所谓双码本结构是指码本中的预编码矩阵由两部分构成,表示为:
W=W1W2
其中W1表示长期的/宽带的信道信息,而W2表示短期的/窄带的信道信息。
3D-MIMO(3Dimensions-Multiple-Input Multiple-Output,三维多入多出)系统,由于引入了更多的天线端口以及垂直维度的自由度,更加容易支持高rank(秩)的传输。
然而,现在的码本,即使是双码本,也只是针对水平维度的天线所设置的。可见,目前的码本方案显然已经不再适用于3D-MIMO下新的天线形态。
发明内容
本发明实施例提供一种预编码方法及装置,用于解决目前的码本方案已 经不再适用于3D-MIMO下新的天线形态的技术问题。
第一方面,提供一种预编码方法,包括:
接收基站发送的参考信号;
基于所述参考信号,从码本中选择预编码矩阵,所述码本至少包含一个预编码矩阵W,其中W为两个矩阵W1和W2的乘积;
其中,所述W1为分块对角矩阵,
Figure PCTCN2015090839-appb-000001
所述W1包含的分块矩阵的数量NB大于等于1,其中的每个分块矩阵Xi满足矩阵Ai和矩阵Bi的Kronecker积,
Figure PCTCN2015090839-appb-000002
或者
Figure PCTCN2015090839-appb-000003
其中col()表示列选择函数,1≤i≤NB;其中所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个相邻的列向量相位非连续,或,所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交;
向所述基站发送PMI,所述PMI用于指示所述预编码矩阵。
结合第一方面,在第一方面的第一种可能的实现方式中,所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交,所述两个列向量为相邻的列向量。
结合第一方面或第一方面的第一种可能的实现方式,在第一方面的第二种可能的实现方式中,所述Ai和所述Bi所对应的矩阵分别对应水平维度和垂直维度的信道特性,或者所述Ai和所述Bi所对应的矩阵分别对应垂直维度和水平维度的信道特性。
结合第一方面或第一方面的第一种可能的实现方式或第二种可能的实现方式,在第一方面的第三种可能的实现方式中,所述NB=2,W1=diag{X1,X2}。
结合第一方面的第三种可能的实现方式,在第一方面的第四种可能的实现方式中,分块矩阵X1与分块矩阵X2相同,其中矩阵A1=A2,B1=B2
结合第一方面或第一方面的第一种可能的实现方式至第四种可能的实现方式中的任一种可能的实现方式,在第一方面的第五种可能的实现方式中, Ai=[ai1,ai2,…,aiU],Bi=[bi1,bi2,…,biV],其中,列向量aiu和biv均为离散傅里叶变换DFT向量。
结合第一方面或第一方面的第一种可能的实现方式至第五种可能的实现方式中的任一种可能的实现方式,在第一方面的第六种可能的实现方式中,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交,或者,所述矩阵Bi所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交。
结合第一方面或第一方面的第一种可能的实现方式至第五种可能的实现方式中的任一种可能的实现方式,在第一方面的第七种可能的实现方式中,
所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量;
或者,
所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量。
结合第一方面或第一方面的第一种可能的实现方式至第七种可能的实现方式中的任一种可能的实现方式,在第一方面的第八种可能的实现方式中,
所述Ai所对应的矩阵中的至少一个矩阵中包含一个列向量;
或者,
所述Bi所对应的矩阵中的至少一个矩阵中包含一个列向量。
结合第一方面或第一方面的第一种可能的实现方式至第七种可能的实现方式中的任一种可能的实现方式,在第一方面的第九种可能的实现方式中,
所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续;
或者,
所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相 位连续,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续。
结合第一方面或第一方面的第一种可能的实现方式至第七种可能的实现方式中的任一种可能的实现方式,在第一方面的第十种可能的实现方式中,
所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交;
或者,
所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交。
结合第一方面或第一方面的第一种可能的实现方式至第十种可能的实现方式中的任一种可能的实现方式,在第一方面的第十一种可能的实现方式中,
Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中所述列向量ai1、所述列向量ai2及所述列向量ai3中的任意两个相邻的列向量相位连续,所述列向量ai3及所述列向量ai4相互正交;
或者,
Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中所述列向量bi1、所述列向量bi2及所述列向量bi3中的任意两个相邻的列向量相位连续,所述列向量bi3及所述列向量bi4相互正交。
结合第一方面或第一方面的第一种可能的实现方式至第十种可能的实现方式中的任一种可能的实现方式,在第一方面的第十二种可能的实现方式中,
Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中所述列向量ai1及所述列向量ai2的相位连续,所述列向量bi3及所述列向量bi4的相位连续,所述列向量ai2及所述列向量ai3相互正交;
或者,
Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中所述列向量bi1及所述列向量bi2的相位连续,所述列向量bi3及所述列向量bi4的相位连续,所述列向量bi2及所述列向量bi3相互正交。
结合第一方面或第一方面的第一种可能的实现方式至第十种可能的实现方式中的任一种可能的实现方式,在第一方面的第十三种可能的实现方式中,
Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中所述列向量ai1及所述列向量ai2的相位非连续;
或者,
Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中所述列向量bi1及所述列向量bi2的相位非连续。
结合第一方面或第一方面的第一种可能的实现方式至第十种可能的实现方式中的任一种可能的实现方式,在第一方面的第十四种可能的实现方式中,
Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中所述列向量ai1及所述列向量ai2相互正交;
或者,
Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中所述列向量bi1及所述列向量bi2相互正交。
第二方面,提供一种预编码方法,包括:
向终端发送参考信号;
接收所述终端根据所述参考信号发送的PMI;
根据所述PMI,从码本中选择预编码矩阵,所述码本至少包含一个预编码矩阵W,其中W满足两个矩阵W1和W2的乘积;
其中,所述W1为分块对角矩阵,
Figure PCTCN2015090839-appb-000004
所述W1包含的分块矩阵的数量NB大于等于1,其中的每个分块矩阵Xi满足矩阵Ai和矩阵Bi的 Kronecker积,
Figure PCTCN2015090839-appb-000005
或者
Figure PCTCN2015090839-appb-000006
其中col()表示列选择函数,1≤i≤NB;其中所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个相邻的列向量相位非连续,或,所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交。
结合第二方面,在第二方面的第一种可能的实现方式中,所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交,所述两个列向量为相邻的列向量。
结合第二方面或第二方面的第一种可能的实现方式,在第二方面的第二种可能的实现方式中,所述Ai和所述Bi所对应的矩阵分别对应水平维度和垂直维度的信道特性,或者所述Ai和所述Bi所对应的矩阵分别对应垂直维度和水平维度的信道特性。
结合第二方面或第二方面的第一种可能的实现方式或第二种可能的实现方式,在第二方面的第三种可能的实现方式中,所述NB=2,W1=diag{X1,X2}。
结合第二方面的第三种可能的实现方式,在第二方面的第四种可能的实现方式中,分块矩阵X1与分块矩阵X2相同,其中矩阵A1=A2,B1=B2
结合第二方面或第二方面的第一种可能的实现方式至第四种可能的实现方式中的任一种可能的实现方式,在第二方面的第五种可能的实现方式中,Ai=[ai1,ai2,…,aiU],Bi=[bi1,bi2,…,biV],其中,列向量aiu和biv均为离散傅里叶变换DFT向量。
结合第二方面或第二方面的第一种可能的实现方式至第五种可能的实现方式中的任一种可能的实现方式,在第二方面的第六种可能的实现方式中,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交,或者,所述矩阵Bi所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交。
结合第二方面或第二方面的第一种可能的实现方式至第五种可能的实现方式中的任一种可能的实现方式,在第二方面的第七种可能的实现方式中,
所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量;
或者,
所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量。
结合第二方面或第二方面的第一种可能的实现方式至第七种可能的实现方式中的任一种可能的实现方式,在第二方面的第八种可能的实现方式中,
所述Ai所对应的矩阵中的至少一个矩阵中包含一个列向量;
或者,
所述Bi所对应的矩阵中的至少一个矩阵中包含一个列向量。
结合第二方面或第二方面的第一种可能的实现方式至第七种可能的实现方式中的任一种可能的实现方式,在第二方面的第九种可能的实现方式中,
所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续;
或者,
所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续。
结合第二方面或第二方面的第一种可能的实现方式至第七种可能的实现方式中的任一种可能的实现方式,在第二方面的第十种可能的实现方式中,
所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交;
或者,
所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相 位连续,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交。
结合第二方面或第二方面的第一种可能的实现方式至第十种可能的实现方式中的任一种可能的实现方式,在第二方面的第十一种可能的实现方式中,
Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中所述列向量ai1、所述列向量ai2及所述列向量ai3中的任意两个相邻的列向量相位连续,所述列向量ai3及所述列向量ai4相互正交;
或者,
Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中所述列向量bi1、所述列向量bi2及所述列向量bi3中的任意两个相邻的列向量相位连续,所述列向量bi3及所述列向量bi4相互正交。
结合第二方面或第二方面的第一种可能的实现方式至第十种可能的实现方式中的任一种可能的实现方式,在第二方面的第十二种可能的实现方式中,
Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中所述列向量ai1及所述列向量ai2的相位连续,所述列向量bi3及所述列向量bi4的相位连续,所述列向量ai2及所述列向量ai3相互正交;
或者,
Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中所述列向量bi1及所述列向量bi2的相位连续,所述列向量bi3及所述列向量bi4的相位连续,所述列向量bi2及所述列向量bi3相互正交。
结合第二方面或第二方面的第一种可能的实现方式至第十种可能的实现方式中的任一种可能的实现方式,在第二方面的第十三种可能的实现方式中,
Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中所述列向量ai1及所述列向量ai2的相位非连续;
或者,
Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中所述列向量bi1及所述列向量bi2的相位非连续。
结合第二方面或第二方面的第一种可能的实现方式至第十种可能的实现方式中的任一种可能的实现方式,在第二方面的第十四种可能的实现方式中,
Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中所述列向量ai1及所述列向量ai2相互正交;
或者,
Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中所述列向量bi1及所述列向量bi2相互正交。
第三方面,提供一种终端,包括:
接收模块,用于接收基站发送的参考信号;
处理模块,用于基于所述参考信号,从码本中选择预编码矩阵,所述码本至少包含一个W,其中W为两个矩阵W1和W2的乘积;
其中,所述W1为分块对角矩阵,
Figure PCTCN2015090839-appb-000007
所述W1包含的分块矩阵的数量NB大于等于2,其中的每个分块矩阵Xi满足矩阵Ai和矩阵Bi的Kronecker积,
Figure PCTCN2015090839-appb-000008
或者
Figure PCTCN2015090839-appb-000009
其中col()表示列选择函数,1≤i≤NB;其中所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个相邻的列向量相位非连续,或,所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交;
发送模块,用于向所述基站发送PMI,所述PMI用于指示所述预编码矩阵。
结合第三方面,在第三方面的第一种可能的实现方式中,所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交,所述两个列向量为相邻的列向量。
结合第三方面或第三方面的第一种可能的实现方式,在第三方面的第二 种可能的实现方式中,所述Ai和所述Bi所对应的矩阵分别对应水平维度和垂直维度的信道特性,或者所述Ai和所述Bi所对应的矩阵分别对应垂直维度和水平维度的信道特性。
结合第三方面或第三方面的第一种可能的实现方式或第二种可能的实现方式,在第三方面的第三种可能的实现方式中,所述NB=2,W1=diag{X1,X2}。
结合第三方面的第三种可能的实现方式,在第三方面的第四种可能的实现方式中,分块矩阵X1与分块矩阵X2相同,其中矩阵A1=A2,B1=B2
结合第三方面或第三方面的第一种可能的实现方式至第四种可能的实现方式中的任一种可能的实现方式,在第三方面的第五种可能的实现方式中,Ai=[ai1,ai2,…,aiU],Bi=[bi1,bi2,…,biV],其中,列向量aiu和biv均为离散傅里叶变换DFT向量。
结合第三方面或第三方面的第一种可能的实现方式至第五种可能的实现方式中的任一种可能的实现方式,在第三方面的第六种可能的实现方式中,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交,或者,所述矩阵Bi所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交。
结合第三方面或第三方面的第一种可能的实现方式至第五种可能的实现方式中的任一种可能的实现方式,在第三方面的第七种可能的实现方式中,
所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量;
或者,
所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量。
结合第三方面或第三方面的第一种可能的实现方式至第七种可能的实现方式中的任一种可能的实现方式,在第三方面的第八种可能的实现方式中,
所述Ai所对应的矩阵中的至少一个矩阵中包含一个列向量;
或者,
所述Bi所对应的矩阵中的至少一个矩阵中包含一个列向量。
结合第三方面或第三方面的第一种可能的实现方式至第七种可能的实现方式中的任一种可能的实现方式,在第三方面的第九种可能的实现方式中,
所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续;
或者,
所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续。
结合第三方面或第三方面的第一种可能的实现方式至第七种可能的实现方式中的任一种可能的实现方式,在第三方面的第十种可能的实现方式中,
所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交;
或者,
所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交。
结合第三方面或第三方面的第一种可能的实现方式至第十种可能的实现方式中的任一种可能的实现方式,在第三方面的第十一种可能的实现方式中,
Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中所述列向量ai1、所述列向量ai2及所述列向量ai3中的任意两个相邻的列向量相位连续,所述列向量ai3及所述列向量ai4相互正交;
或者,
Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中所述列向量bi1、所述列向量bi2及所述列向量bi3中的任意两个相邻的列向量相位连续,所述列向量bi3及所述列向量bi4相互正交。
结合第三方面或第三方面的第一种可能的实现方式至第十种可能的实现方式中的任一种可能的实现方式,在第三方面的第十二种可能的实现方式中,
Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中所述列向量ai1及所述列向量ai2的相位连续,所述列向量bi3及所述列向量bi4的相位连续,所述列向量ai2及所述列向量ai3相互正交;
或者,
Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中所述列向量bi1及所述列向量bi2的相位连续,所述列向量bi3及所述列向量bi4的相位连续,所述列向量bi2及所述列向量bi3相互正交。
结合第三方面或第三方面的第一种可能的实现方式至第十种可能的实现方式中的任一种可能的实现方式,在第三方面的第十三种可能的实现方式中,
Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中所述列向量ai1及所述列向量ai2的相位非连续;
或者,
Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中所述列向量bi1及所述列向量bi2的相位非连续。
结合第三方面或第三方面的第一种可能的实现方式至第十种可能的实现方式中的任一种可能的实现方式,在第三方面的第十四种可能的实现方式中,
Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中所述列向量ai1及所述列向量ai2相互正交;
或者,
Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中所述列向量bi1 及所述列向量bi2相互正交。
第四方面,提供一种基站,包括:
发送模块,用于向终端发送参考信号;
接收模块,用于接收所述终端根据所述参考信号发送的PMI;
处理模块,用于根据所述PMI,从码本中选择预编码矩阵,所述码本至少包含一个预编码矩阵W,其中W为两个矩阵W1和W2的乘积;
其中,所述W1为分块对角矩阵,
Figure PCTCN2015090839-appb-000010
所述W1包含的分块矩阵的数量NB大于等于2,其中的每个分块矩阵Xi满足矩阵Ai和矩阵Bi的Kronecker积,
Figure PCTCN2015090839-appb-000011
或者
Figure PCTCN2015090839-appb-000012
其中col()表示列选择函数,1≤i≤NB;其中所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个相邻的列向量相位非连续,或,所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交。
结合第四方面,在第四方面的第一种可能的实现方式中,所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交,所述两个列向量为相邻的列向量。
结合第四方面或第四方面的第一种可能的实现方式,在第四方面的第二种可能的实现方式中,所述Ai和所述Bi所对应的矩阵分别对应水平维度和垂直维度的信道特性,或者所述Ai和所述Bi所对应的矩阵分别对应垂直维度和水平维度的信道特性。
结合第四方面或第四方面的第一种可能的实现方式或第二种可能的实现方式,在第四方面的第三种可能的实现方式中,所述NB=2,W1=diag{X1,X2}。
结合第四方面的第四种可能的实现方式,在第四方面的第四种可能的实现方式中,分块矩阵X1与分块矩阵X2相同,其中矩阵A1=A2,B1=B2
结合第四方面或第四方面的第一种可能的实现方式至第四种可能的实现方式中的任一种可能的实现方式,在第四方面的第五种可能的实现方式中, Ai=[ai1,ai2,…,aiU],Bi=[bi1,bi2,…,biV],其中,列向量aiu和biv均为离散傅里叶变换DFT向量。
结合第四方面或第四方面的第一种可能的实现方式至第五种可能的实现方式中的任一种可能的实现方式,在第四方面的第六种可能的实现方式中,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交,或者,所述矩阵Bi所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交。
结合第四方面或第四方面的第一种可能的实现方式至第五种可能的实现方式中的任一种可能的实现方式,在第四方面的第七种可能的实现方式中,
所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量;
或者,
所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量。
结合第四方面或第四方面的第一种可能的实现方式至第七种可能的实现方式中的任一种可能的实现方式,在第四方面的第八种可能的实现方式中,
所述Ai所对应的矩阵中的至少一个矩阵中包含一个列向量;
或者,
所述Bi所对应的矩阵中的至少一个矩阵中包含一个列向量。
结合第四方面或第四方面的第一种可能的实现方式至第七种可能的实现方式中的任一种可能的实现方式,在第四方面的第九种可能的实现方式中,
所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续;
或者,
所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相 位连续,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续。
结合第四方面或第四方面的第一种可能的实现方式至第七种可能的实现方式中的任一种可能的实现方式,在第四方面的第十种可能的实现方式中,
所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交;
或者,
所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交。
结合第四方面或第四方面的第一种可能的实现方式至第十种可能的实现方式中的任一种可能的实现方式,在第四方面的第十一种可能的实现方式中,
Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中所述列向量ai1、所述列向量ai2及所述列向量ai3中的任意两个相邻的列向量相位连续,所述列向量ai3及所述列向量ai4相互正交;
或者,
Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中所述列向量bi1、所述列向量bi2及所述列向量bi3中的任意两个相邻的列向量相位连续,所述列向量bi3及所述列向量bi4相互正交。
结合第四方面或第四方面的第一种可能的实现方式至第十种可能的实现方式中的任一种可能的实现方式,在第四方面的第十二种可能的实现方式中,
Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中所述列向量ai1及所述列向量ai2的相位连续,所述列向量bi3及所述列向量bi4的相位连续,所述列向量ai2及所述列向量ai3相互正交;
或者,
Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中所述列向量bi1及所述列向量bi2的相位连续,所述列向量bi3及所述列向量bi4的相位连续,所述列向量bi2及所述列向量bi3相互正交。
结合第四方面或第四方面的第一种可能的实现方式至第十种可能的实现方式中的任一种可能的实现方式,在第四方面的第十三种可能的实现方式中,
Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中所述列向量ai1及所述列向量ai2的相位非连续;
或者,
Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中所述列向量bi1及所述列向量bi2的相位非连续。
结合第四方面或第四方面的第一种可能的实现方式至第十种可能的实现方式中的任一种可能的实现方式,在第四方面的第十四种可能的实现方式中,
Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中所述列向量ai1及所述列向量ai2相互正交;
或者,
Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中所述列向量bi1及所述列向量bi2相互正交。
本发明实施例中提供了一种新的W1的形态,即W1可以包含多个分块矩阵,且每个分块矩阵可表示为矩阵Ai和矩阵Bi的Kronecker(克罗内克)积,这样就使得W不仅能支持水平维度的天线,还能够支持垂直维度的天线,为3D-MIMO系统提供了新的码本。
另外,本发明实施例中,Ai和Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的向量中有两个相邻的向量相位非连续,或,矩阵Ai和矩阵Bi中至少有一个矩阵包含的向量中有两个向量正交,这就保证了支持3D-MIMO的码本在 高rank时,能够找到正交的向量,且不需要降低采样率,也无需增加W1中的向量的个数。
附图说明
图1A-图1B为3D-MIMO的两种天线形态示意图;
图2为本发明实施例中第一种预编码方法的流程图;
图3为本发明实施例中第二种预编码方法的流程图;
图4为本发明实施例中终端的结构框图;
图5为本发明实施例中基站的结构框图;
图6为本发明实施例中终端的结构示意图;
图7为本发明实施例中基站的结构示意图。
具体实施方式
为使本发明实施例的目的、技术方案和优点更加清楚,下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。
以下,对本发明中的部分用语进行解释说明,以便于本领域技术人员理解。
1)终端,是指向用户提供语音和/或数据连通性的设备,例如可以包括具有无线连接功能的手持式设备、或连接到无线调制解调器的处理设备。该终端可以经RAN与核心网进行通信,与RAN交换语音和/或数据。该终端可以称为UE(user equipment,用户设备)、无线终端、移动终端、订户单元(Subscriber Unit)、订户站(Subscriber Station),移动站(Mobile Station)、移动台(Mobile)、远程站(Remote Station)、AP(Access Point,接入点)、远程终端(Remote Terminal)、接入终端(Access Terminal)、用户终端(User Terminal)、用户代 理(User Agent)、或用户装备(User Device)等。例如,可以是移动电话(或称为“蜂窝”电话),具有移动终端的计算机,便携式、袖珍式、手持式、计算机内置的或者车载的移动装置。例如,PCS(Personal Communication Service,个人通信业务)电话、无绳电话、SIP(会话发起协议)话机、WLL(Wireless Local Loop,无线本地环路)站、PDA(Personal Digital Assistant,个人数字助理)等设备。
2)网络设备,例如是基站(例如,接入点),具体可以是指接入网中在空中接口上通过一个或多个扇区与无线终端通信的设备。基站可用于将收到的空中帧与IP分组进行相互转换,作为无线终端与接入网的其余部分之间的路由器,其中接入网的其余部分可包括网际协议(IP)网络。基站还可协调对空中接口的属性管理。例如,基站可以是LTE(Long Term Evolution,长期演进)或LTE-A(LTE-Advanced,长期演进升级版)等系统中的演进型基站(NodeB或eNB或e-NodeB,evolutional Node B),本发明并不限定。
3)列向量相位连续:两个列向量的相位差为最小相位粒度。
例如,列向量
Figure PCTCN2015090839-appb-000013
和列向量
Figure PCTCN2015090839-appb-000014
其中列向量a和列向量b的相位差为Δθ=|θ21|。例如
Figure PCTCN2015090839-appb-000015
Figure PCTCN2015090839-appb-000016
相位最小粒度为
Figure PCTCN2015090839-appb-000017
而列向量a和列向量b的相位差为
Figure PCTCN2015090839-appb-000018
当P=1时,列向量a和列向量b相位连续;当P>1时,列向量a和列向量b相位非连续,或者大间距(widely spacing)。
例如,列向量
Figure PCTCN2015090839-appb-000019
和列向量
Figure PCTCN2015090839-appb-000020
其中列向量a和列向量b的相位差为Δθ=|θ21|。例如
Figure PCTCN2015090839-appb-000021
Figure PCTCN2015090839-appb-000022
相位最小粒度为
Figure PCTCN2015090839-appb-000023
而列向量a和列向量b的相位差为
Figure PCTCN2015090839-appb-000024
当P=1时,列向量a和列向量b相位连续;当P>1时,列向量a和列向量b相位非连续或者大间距。
需注意的是,这里只是给出了例子,对于其他形式的向量表述这里不做限制,另外对于列向量的维度也不做限定,例如列向量包含的元素个数可以是2、3、4、5、6、7、或8等。
4)MIMO(Multiple-Input Multiple-Output,多输入多输出)技术,是在发射端和接收端分别使用多个发射天线和接收天线,使信号通过发射端与接收端之间的多个天线进行传送和接收,从而改善通信质量。它能充分利用空间资源,通过多个天线实现多发多收,在不增加频谱资源和天线发射功率的情况下,可以成倍地提高系统信道容量。其中,如果发射端用一个天线发送,接收端用一个天线接收,则可以认为是一流(流,或称为层)数据传输,如发射端用两个天线发送,接收端用两个天线接收,则可以认为是二流数据传输,等等。
5)3D-MIMO技术提供了额外的垂直向维度的自由度,使得信号发送能够在水平和垂直两个维度上调整。3D-MIMO将MIMO技术推向一个更高的发展阶段,为LTE传输技术性能提升开拓出了更广阔的空间,使得进一步降低小区间干扰、提高系统吞吐量和频谱效率成为可能。与传统的2D-MIMO相比,3D-MIMO是在传统2D-MIMO的基础上,在竖直维上增加了一维可供利用的维度。对这一维度的信道信息加以有效利用,可以有效地抑制小区间同 频用户的干扰,从而提升边缘用户乃至整个小区的平均吞吐量。
例如请参见图1A和图1B,对于16天线端口,平面天线阵列的天线架构包括如图1A和图1B所示的两种天线形态,其中,图1A所示的形态中,水平向有8个天线(双极化),垂直向有2个天线。图1B所示的形态中,水平向有4个天线(双极化),垂直向有4个天线。
6)本发明实施例中的术语“系统”和“网络”可被互换使用。“多个”是指两个或两个以上。“和/或”,描述关联对象的关联关系,表示可以存在三种关系,例如,A和/或B,可以表示:单独存在A,同时存在A和B,单独存在B这三种情况。另外,字符“/”,如无特殊说明,一般表示前后关联对象是一种“或”的关系。
首先介绍一下本发明的技术背景。
在现有技术中,在高rank(即天线的秩较高,比如为3或3以上)时,为了在W1中包含正交列向量,W1需包含比低rank(即天线的秩较低,比如为2或2以下)时更多的列向量,且W1的过采样率会下降,以更方便找到正交的向量。
目前的码本只是针对水平一维的设计,不能支持水平和垂直两维的3D-MIMO信道空间,即目前的码本所对应的预编码向量只有水平维度的自由度,不能同时进行水平维度和垂直维度的调整。并且为了支持高rank的码本,目前的码本需要增加每个W1所包含的列向量的数量,并且减小过采样率,这会导致性能损失。
本发明实施例充分考虑到以上问题,提供了一种新的W1的形态,即W1可以包含一个或多个分块矩阵,且每个分块矩阵可表示为矩阵Ai和矩阵Bi的Kronecker(克罗内克)积,这样就使得W不仅能支持水平维度的天线,还能够支持垂直维度的天线,为3D-MIMO系统提供了新的码本。
另外,本发明实施例中,矩阵Ai或者矩阵Bi中至少有一个矩阵包含的向量中有两个相邻的向量相位非连续,或,矩阵Ai或者矩阵Bi中至少有一个矩阵包含的向量中有两个向量正交,这就保证了支持3D-MIMO的码本在高rank时, 能够找到正交的向量,无需降低采样率,也无需增加W1中的向量的个数,提高系统性能。
下面结合说明书附图对本发明实施例作进一步详细描述。
请参见图2,本发明实施例提供一种预编码方法,该方法例如可以由终端执行,或者也可以由其他通信设备执行,下面在介绍的过程中均以该方法由终端执行为例。该方法的流程描述如下。
步骤201:接收基站发送的参考信号;
步骤202:基于参考信号,从码本中选择预编码矩阵,码本至少包含一个预编码矩阵W,其中W为两个矩阵W1和W2的乘积(即W=W1W2);
其中,W1为分块对角矩阵,
Figure PCTCN2015090839-appb-000025
W1包含的分块矩阵的数量NB大于等于1,其中的每个分块矩阵Xi表示为矩阵Ai和矩阵Bi的Kronecker积,
Figure PCTCN2015090839-appb-000026
或者
Figure PCTCN2015090839-appb-000027
或者
Figure PCTCN2015090839-appb-000028
或者
Figure PCTCN2015090839-appb-000029
其中,
Figure PCTCN2015090839-appb-000030
表示Kronecker乘积运算符,col()表示列选择函数,选取一个或者多个列向量,1≤i≤NB;其中Ai与Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的向量中有两个相邻的列向量相位非连续,或,Ai与Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交;
步骤203:向基站发送PMI,该PMI用于指示该预编码矩阵。
其中,Ai与Bi所对应的总共2NB个矩阵是指矩阵
Figure PCTCN2015090839-appb-000031
请参见图3,本发明实施例提供另一种预编码方法,该方法例如可以由基站执行,或者也可以由其他网络设备执行,下面在介绍的过程中均以该方法由基站执行为例。该方法的流程描述如下。
步骤301:向终端发送参考信号;
步骤302:接收终端发送的PMI;
步骤303:根据该PMI,从码本中选择预编码矩阵,该码本至少包含一个预编码矩阵W,其中W为两个矩阵W1和W2的乘积;
其中,W1为分块对角矩阵,
Figure PCTCN2015090839-appb-000032
W1包含的分块矩阵的数 量NB大于等于1,其中的每个分块矩阵Xi满足矩阵Ai和矩阵Bi的Kronecker积,
Figure PCTCN2015090839-appb-000033
或者
Figure PCTCN2015090839-appb-000034
或者
Figure PCTCN2015090839-appb-000035
或者
Figure PCTCN2015090839-appb-000036
其中col()表示列选择函数,1≤i≤NB;其中Ai和Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个相邻的列向量相位非连续,或,Ai和Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交。
其中,Ai与Bi所对应的总共2NB个矩阵是指矩阵
Figure PCTCN2015090839-appb-000037
Ai对应的所有矩阵为
Figure PCTCN2015090839-appb-000038
例如,若NB=2,则Ai对应的所有矩阵包括A1和A2,若NB=3,则Ai对应的所有矩阵包括A1、A2和A3,等等,以此类推。同理,对于Bi来说,Bi对应的所有矩阵为
Figure PCTCN2015090839-appb-000039
若NB=2,则Bi对应的所有矩阵包括B1和B2,若NB=3,则Bi对应的所有矩阵包括B1、B2和B3,等等,不多赘述。。
其中,图2与图3是两个相应的方法流程,即,图2可以看作是PMI发送端的执行过程,图3可以看作是PMI接收端的执行过程,因此这两个过程的内容可相互参考,下面通过交互方式一起进行介绍。
例如,参考信号可以包括CSI RS(channel state information Reference Signal,信道状态信息参考信号),或者DM RS(demodulation RS,解调参考信号),或者CRS(cell-specific RS,小区特定参考信号),等等。
例如,终端可以通过接收基站(例如eNB)的通知(该通知例如为RRC(Radio Resource Control,无线资源控制)信令或者DCI(Downlink Control Information,下行控制信息))或者基于小区标识(例如小区的ID(identity,身份标识号))得到参考信号的资源配置,并在对应的资源或者子帧得到该参考信号。
终端在接收参考信号后,可以基于参考信号,从码本或者码本的子集中选择预编码矩阵。
其中,在终端和在基站中可以存储有相同的码本或码本的子集,在码本或者码本的子集中至少包含一个预编码矩阵符合本发明实施例中的特征。
可选的,在本发明另一实施例中,基于参考信号,从码本或者码本的子集中选择预编码矩阵,包括:
基于参考信号,得到信道估计;
根据信道估计,基于预定义的准则(如信道容量或者吞吐量最大化的准则或者弦距最小化准则等),从码本或者码本的子集中选择预编码矩阵。
其中,终端基于预定义的准则从码本或者码本的子集中选择预编码矩阵为已有的技术,在此不赘述。
本发明实施例主要针对双码本或者多码本结构,以双码本结构为例。例如双码本结构中的一个预编码矩阵满足
W=W1W2
可选的,W1为宽带或者长期的信道特性,W2表示子带或者短期的信道特性。
W2则包含列选择向量和相位旋转加权因子(co-phasing)。
例如,当秩为1时,W2可以表示为:
Figure PCTCN2015090839-appb-000040
其中a为常数,
Figure PCTCN2015090839-appb-000041
为相位旋转加权因子,a表示的是在不同极化天线上的加权值。
例如,
Figure PCTCN2015090839-appb-000042
N,n分别表示整数,例如N=4,n={0,1,2,3}或者
Figure PCTCN2015090839-appb-000043
其中,
Figure PCTCN2015090839-appb-000044
Q,m分别表示整数,m的取值与Y1、Y2的取值相关联,例如,Y1或者Y2选择第一个向量时m=0,Y1或者Y2选择第二个向量时m=1。Y1、Y2为列选择向量,例如,
Figure PCTCN2015090839-appb-000045
表示在四个向量中选择第一个向量,
Figure PCTCN2015090839-appb-000046
表示在 两个向量中选择第一个向量,
Figure PCTCN2015090839-appb-000047
表示在8个向量中选择第二个向量。
例如,当秩为2时,
Figure PCTCN2015090839-appb-000048
例如,当秩为3时,
Figure PCTCN2015090839-appb-000049
例如,当秩为4时,
Figure PCTCN2015090839-appb-000050
其中,a、b、c、d分别为常数。
本发明实施例针对W1进行设计和优化,使得W符合3D-MIMO的信道特征,特别是能够支持高rank的数据传输。
这里指的说明的是,本发明针对W1的设计,对应的码本所对应的秩可以为1、2、3、4、5、6、7、或8等。
由于W1中的每个分块矩阵可表示为矩阵Ai和矩阵Bi的Kronecker(克罗内克)积,这样就使得W不仅能支持水平维度和垂直维度的天线阵列。
另外,Ai和Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个相邻的列向量相位非连续,或,Ai和Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交,这就保证了支持在高rank码本时,能够找到正交的向量,无需降低采样率,或者增加W1中的向量的个数,并提高系统性能。
可选的,在本发明另一实施例中,Ai和Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交,这两个正交的列向量为相邻的列向量。
令两个相邻的列向量正交,更方便在Ai中或者Bi中找到正交的列向量。
可选的,在本发明另一实施例中,Ai所对应的矩阵对应水平维度的信道特性,Bi所对应的矩阵对应垂直维度的信道特性,或者,Ai所对应的矩阵对应垂直维度的信道特性,Bi所对应的矩阵对应水平维度的信道特性。
可选的,在本发明另一实施例中,当NB=2时,W1可以表示为:W1=diag{X1,X2}。
可选的,当NB=2时,例如
Figure PCTCN2015090839-appb-000051
或者可选的,当NB=2时,例如
Figure PCTCN2015090839-appb-000052
或者可选的,当NB=2时,例如
Figure PCTCN2015090839-appb-000053
或者可选的,当NB=2时,例如
Figure PCTCN2015090839-appb-000054
其中,A1、B1、A2、及B2为矩阵或者向量,比如,
Figure PCTCN2015090839-appb-000055
Figure PCTCN2015090839-appb-000056
Figure PCTCN2015090839-appb-000057
Figure PCTCN2015090839-appb-000058
表示分别包含U1、U2、V1和V2个列向量,(其中U1、U2、V1和V2分别为大于等于1的整数),col()表示列选择函数,例如
Figure PCTCN2015090839-appb-000059
表示选择
Figure PCTCN2015090839-appb-000060
中的一个或者多个列向量。
可选的,在本发明另一实施例中,分块矩阵X1与分块矩阵X2相同,其中矩阵A1=A2,B1=B2,i=1,2。比如,
Figure PCTCN2015090839-appb-000061
Figure PCTCN2015090839-appb-000062
可选的,在本发明另一实施例中,例如将Ai表示为Ai=[ai1,ai2,…,aiU],将Bi 表示为Bi=[bi1,bi2,…,biV],其中,列向量aiu和biv均为DFT向量。其中,U和V分别为大于等于1的整数。
可选的,在本发明另一实施例中,Ai所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交,可以理解为,Ai所对应的矩阵中的至少一个矩阵包含的列向量中,各列向量之间两两正交,或者,Bi所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交,可以理解为,Bi所对应的矩阵中的至少一个矩阵包含的列向量中,各列向量之间两两正交。
若Ai所对应的矩阵中的至少一个矩阵或Bi所对应的矩阵中的至少一个矩阵中至少有一个矩阵包括的列向量中,各列向量之间两两正交,那么显然能够满足高rank传输的情况,既无需降低采样率,也无需令W1包含太多的列向量,提高系统性能。
可选的,在本发明另一实施例中,
Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量,可以理解为,Ai所对应的矩阵中的至少一个矩阵包含多个列向量,在这些列向量中,既有相位连续的相邻列向量,也有相位非连续的相邻列向量;
或者,
Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量,同样可以理解为,Bi所对应的矩阵中的至少一个矩阵包含多个列向量,在这些列向量中,既有相位连续的相邻列向量,也有相位非连续的相邻列向量。
可选的,在本发明另一实施例中,
Ai所对应的矩阵中的至少一个矩阵中包含一个列向量;
或者,
Bi所对应的矩阵中的至少一个矩阵中包含一个列向量。
即,Ai所对应的矩阵中的至少一个矩阵中可以包含一个或多个列向量,或者,Bi所对应的矩阵中的至少一个矩阵中也可以包含一个或多个列向量。
可选的,在本发明另一实施例中,
Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续;
或者,
Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续。
即在该实施例中,Ai所对应的矩阵中的至少一个矩阵中和Bi所对应的矩阵中的至少一个矩阵中,可以有至少一个矩阵包括的列向量中有至少一组相邻的列向量的相位不连续。
可选的,在本发明另一实施例中,
Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交;
或者,
Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交。
即在该实施例中,Ai所对应的矩阵中的至少一个矩阵中和Bi所对应的矩阵中的至少一个矩阵中,有至少一个矩阵包括的列向量中有至少两个列向量相互正交。
可选的,在本发明另一实施例中,
Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为 DFT向量;其中列向量ai1、列向量ai2及列向量ai3中的任意两个相邻的列向量相位连续,列向量ai3及列向量ai4相互正交;
或者,
Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中列向量bi1、列向量bi2及列向量bi3中的任意两个相邻的列向量相位连续,列向量bi3及列向量bi4相互正交。
在该实施例中,Ai=[ai1,ai2,ai3,ai4]可以理解为Ai所对应的矩阵中的其中一个矩阵。Bi=[bi1,bi2,bi3,bi4]可以理解为Bi所对应的矩阵中的其中一个矩阵。
可选的,在本发明另一实施例中,
Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中列向量ai1及列向量ai2的相位连续,列向量bi3及列向量bi4的相位连续,列向量ai2及列向量ai3相互正交;
或者,
Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中列向量bi1及列向量bi2的相位连续,列向量bi3及列向量bi4的相位连续,列向量bi2及列向量bi3相互正交。
在该实施例中,Ai=[ai1,ai2,ai3,ai4]可以理解为Ai所对应的矩阵中的其中一个矩阵。Bi=[bi1,bi2,bi3,bi4]可以理解为Bi所对应的矩阵中的其中一个矩阵。
可选的,在本发明另一实施例中,
Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中列向量ai1及列向量ai2的相位非连续;
或者,
Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中列向量bi1及列向量bi2的相位非连续。
在该实施例中,Ai=[ai1,ai2]可以理解为Ai所对应的矩阵中的其中一个矩 阵。Bi=[bi1,bi2]可以理解为Bi所对应的矩阵中的其中一个矩阵。
即,如果Ai所对应的矩阵中的至少一个矩阵包括两个列向量,那么这两个列向量的相位非连续,同理,如果Bi所对应的矩阵中的至少一个矩阵包括中包括两个列向量,那么这两个列向量的相位非连续。
可选的,在本发明另一实施例中,
Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中列向量ai1及列向量ai2相互正交;
或者,
Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中列向量bi1及列向量bi2相互正交。
在该实施例中,Ai=[ai1,ai2]可以理解为Ai所对应的矩阵中的其中一个矩阵。Bi=[bi1,bi2]可以理解为Bi所对应的矩阵中的其中一个矩阵。
即,如果Ai所对应的矩阵中的至少一个矩阵包括两个列向量,那么这两个列向量的相位非连续,同理,如果Bi所对应的矩阵中的至少一个矩阵中包括两个列向量,那么这两个列向量相互正交。
以下举例介绍。
例1:
Figure PCTCN2015090839-appb-000063
Figure PCTCN2015090839-appb-000064
此时,A1中的相邻列向量之间相位变化是连续的,或者A1中可以只有一个列向量。如公式(1)所示,A1中的4个列向量中每两个相邻的列向量之间均 连续。而公式(2)中,当P≥2,B1中的两个相邻的列向量之间非连续。或者,B1中的两个列向量正交,此时,P等于1,N2等于2,或,
Figure PCTCN2015090839-appb-000065
其中,A1表示水平维度的信道特性,和B1表示垂直维度的信道特性,或者A1表示垂直维度的信道特性,B1表示水平维度的信道特性。
需要说明的是,这里只是给出了一个例子,在实际应用中,A1和B1的矩阵维度可变。例如,矩阵A1行数可以是2、3、4、5、6、或8等,列数可以是1、2、3、4、5、6、或8等。矩阵B1的行数可以是2、3、4、5、6、或8等,列数可以是2、3、4、5、6、或8等。例如,
B1可以表示为:
Figure PCTCN2015090839-appb-000066
进一步的,对于高rank情况,为了保证W1中一定包含至少两个正交的向量,可以通过选取P使得B1中的两个列向量相互正交。例如,当矩阵B1的行数为2时,P=N2/2;当矩阵B1的行数为4时,P=N2/4。
例2:
Figure PCTCN2015090839-appb-000067
或者
Figure PCTCN2015090839-appb-000068
或者
Figure PCTCN2015090839-appb-000069
或者
Figure PCTCN2015090839-appb-000070
即在矩阵A1中,有部分的相邻列向量连续,也有部分的相邻列向量之间为非连续,即大间距,或者正交。例如,公式(4-a)中的A1或公式(4-b)中的B1,前两个相邻列向量之间相位连续,后两个相邻列向量之间相位连续,但是如果P1>2,则第2列与第3列的两个列向量的相位不连续。例如,公式(5-a)中的A1或公式(5-b)中的B1,前三个列向量的相位连续,而如果P1>3,则第3列和第4列的两个列向量之间相位不连续。
进一步的,公式(4-a)或公式(4-b)中,第2列和第3列的两个列向量相互正交,或者第1列与第3列的两个列向量之间相互正交,或者第1列与第4列的两个列向量相互正交。公式(5-a)或公式(5-b)中,第3列和第4列的两个列向量相互正交,或者第1列与第4列的两个列向量相互正交,或 者第2列与第4列的两个列向量相互正交。
例如取P1=8,则公式(4-a)变化如下:
Figure PCTCN2015090839-appb-000071
或者例如取P2=8,则公式(4-b)变化如下:
Figure PCTCN2015090839-appb-000072
则公式(6)和(6-b)中,第1列与第3列的两个列向量相互正交,同时,第二列与第4列的两个列向量也相互正交。
需要说明的是,这里也只是给出了一些例子,在实际应用中,矩阵A1的维度可变。例如,A1行数可以是2、3、4、5、6、或8等,列数可以是2、3、4、5、6、或8等。
例如,A1还可以表示为
Figure PCTCN2015090839-appb-000073
此时,对于矩阵B1不做限定,例如,B1可以是由相位连续的列向量组成的矩阵,比如为:
Figure PCTCN2015090839-appb-000074
或者例如,矩阵B1由相邻的列向量之间的相位均不连续的列向量构成,比如为:
Figure PCTCN2015090839-appb-000075
再例如,若将B1表示为
Figure PCTCN2015090839-appb-000076
此时,对于矩阵A1不做限定,例如,A1可以是由相位连续的列向量组成的矩阵,比如为:
Figure PCTCN2015090839-appb-000077
或者例如,矩阵A1由相邻的列向量之间的相位均不连续的列向量构成,比如为:
Figure PCTCN2015090839-appb-000078
需要注意的是,这里只是给出了一些例子,在实际应用中,矩阵B1的维度可变。例如,B1的行数可以是2、3、4、5、6、或8等,列数可以是1、2、3、4、5、6、或8等。
本发明实施例中,PMI对应于终端所选择的预编码矩阵,基站在接收PMI后,可以根据PMI得到终端所选择的预编码矩阵。
可选的,在本发明另一实施例中,向基站发送的PMI中可以只包含一个取值,此时,该PMI可以直接用于指示码本或码本子集中相应的预编码矩阵。
这里的码本子集可以是:例如,码本中共包括256个不同的预编码矩阵,而规定基站和终端所使用的预编码矩阵的集合包括其中的128个预编码矩阵,那么这128个预编码矩阵所构成的集合就是码本子集。在这种情况下,例如可以用PMI=0,…,127分别指示该码本子集中的不同的预编码矩阵。
可选的,在本发明另一实施例中,向基站发送的PMI中可以包括PMI1和PMI2,其中PMI1例如可以用于指示本发明实施例中的W1,PMI2例如可以用于指示本发明实施例中的W2
可选的,在本发明另一实施例中,PMI1和PMI2可以具有不同的时间域或者频域颗粒度,或者,PMI1和PMI2分别表示不同的周期或者带宽的信道特性,或者,PMI1和PMI2基于不同的子帧周期或者子带大小得到。
可选的,在本发明另一实施例中,PMI1中还可以包括PMI11和PMI12,例如PMI11可以用于指示W1中的Ai,PMI12可以用于指示W1中的Bi
可选的,在本发明另一实施例中,PMI2中还可以包括PMI21和PMI22。
可选的,在本发明另一实施例中,PMI11、PMI12和PMI2可以分别表示 不同的周期或者带宽的信道特性,或者PMI11、PMI12和PMI2可以基于不同的子帧周期或者子带大小得到。
可选的,在本发明另一实施例中,PMI11和PMI12可以以不同的时间周期或者频域粒度向基站发送。
可选的,在本发明另一实施例中,终端向基站发送PMI,可以通过PUCCH(Physical Uplink Control Channel,物理上行控制信道)或者PUSCH(Physical Uplink Shared Channel,物理上行共享信道)发送,相应的,基站可以通过PUCCH或PUSCH接收PMI。
需要注意的是,本发明各个实施例所述的预编码矩阵W,可以是经过行置换或者列置换之后的预编码矩阵。例如,不同的天线编号将对应地导致预编码矩阵发生行置换,那么无论行置换还是列置换后的矩阵均在本发明的保护范围之内。同理,对于W1中的矩阵Ai或Bi,可以是未经过行置换或者列置换的预编码矩阵,也可以是经过行置换或者列置换之后的预编码矩阵。
下面结合附图介绍本发明实施例中的设备。
请参见图4,基于同一发明构思及上述各实施例,本发明实施例提供一种终端,该终端可以包括接收模块401、处理模块402和发送模块403。
接收模块401,用于接收基站发送的参考信号;
处理模块402,用于基于参考信号,从码本中选择预编码矩阵,码本至少包含一个预编码矩阵W,其中W为两个矩阵W1和W2的乘积;
其中,W1为分块对角矩阵,
Figure PCTCN2015090839-appb-000079
W1包含的分块矩阵的数量NB大于等于1,其中的每个分块矩阵Xi满足矩阵Ai和矩阵Bi的Kronecker积,
Figure PCTCN2015090839-appb-000080
或者
Figure PCTCN2015090839-appb-000081
其中col()表示列选择函数,1≤i≤NB;其中Ai和Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个相邻的列向量相位非连续,或,Ai和Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交;
发送模块403,用于向基站发送PMI,该PMI用于指示该预编码矩阵。
可选的,在本发明另一实施例中,Ai和Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交,这两个正交的列向量为相邻的列向量。
可选的,在本发明另一实施例中,Ai和Bi所对应的矩阵分别对应水平维度和垂直维度的信道特性,或者Ai和Bi所对应的矩阵分别对应垂直维度和水平维度的信道特性。
可选的,在本发明另一实施例中,NB=2,W1=diag{X1,X2}。
可选的,在本发明另一实施例中,分块矩阵X1与分块矩阵X2相同,其中矩阵A1=A2,B1=B2
可选的,在本发明另一实施例中,Ai=[ai1,ai2,…,aiU],Bi=[bi1,bi2,…,biV],其中,列向量aiu和biv均为DFT向量。
可选的,在本发明另一实施例中,Ai所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交,或者,Bi所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交。
可选的,在本发明另一实施例中,
Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量;
或者,
Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量。
可选的,在本发明另一实施例中,
Ai所对应的矩阵中的至少一个矩阵中包含一个列向量;
或者,
Bi所对应的矩阵中的至少一个矩阵中包含一个列向量。
可选的,在本发明另一实施例中,
Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续;
或者,
Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续。
可选的,在本发明另一实施例中,
Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交;
或者,
Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交。
可选的,在本发明另一实施例中,
Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中列向量ai1、列向量ai2及列向量ai3中的任意两个相邻的列向量相位连续,列向量ai3及列向量ai4相互正交;
或者,
Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中列向量bi1、列向量bi2及列向量bi3中的任意两个相邻的列向量相位连续,列向量bi3及列向量bi4相互正交。
可选的,在本发明另一实施例中,
Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为 DFT向量;其中列向量ai1及列向量ai2的相位连续,列向量bi3及列向量bi4的相位连续,列向量ai2及列向量ai3相互正交;
或者,
Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中列向量bi1及列向量bi2的相位连续,列向量bi3及列向量bi4的相位连续,列向量bi2及列向量bi3相互正交。
可选的,在本发明另一实施例中,
Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中列向量ai1及列向量ai2的相位非连续;
或者,
Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中列向量bi1及列向量bi2的相位非连续。
可选的,在本发明另一实施例中,
Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中列向量ai1及列向量ai2相互正交;
或者,
Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中列向量bi1及列向量bi2相互正交。
请参见图5,基于同一发明构思及上述各实施例,本发明实施例提供一种基站,该基站可以包括发送模块501、接收模块502和处理模块503。
发送模块501,用于向终端发送参考信号;
接收模块502,用于接收终端根据参考信号发送的PMI;
处理模块503,用于根据该PMI,从码本中选择预编码矩阵,该码本至少包含一个预编码矩阵W,其中W为两个矩阵W1和W2的乘积;
其中,W1为分块对角矩阵,
Figure PCTCN2015090839-appb-000082
W1包含的分块矩阵的数 量NB大于等于1,其中的每个分块矩阵Xi满足矩阵Ai和矩阵Bi的Kronecker积,
Figure PCTCN2015090839-appb-000083
或者
Figure PCTCN2015090839-appb-000084
其中col()表示列选择函数,1≤i≤NB;其中Ai和Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个相邻的列向量相位非连续,或,Ai和Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交。
可选的,在本发明另一实施例中,Ai和Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交,这两个正交的列向量为相邻的列向量。
可选的,在本发明另一实施例中,Ai和Bi所对应的矩阵分别对应水平维度和垂直维度的信道特性,或者Ai和Bi所对应的矩阵分别对应垂直维度和水平维度的信道特性。
可选的,在本发明另一实施例中,NB=2,W1=diag{X1,X2}。
可选的,在本发明另一实施例中,分块矩阵X1与分块矩阵X2相同,其中矩阵A1=A2,B1=B2
可选的,在本发明另一实施例中,Ai=[ai1,ai2,…,aiU],Bi=[bi1,bi2,…,biV],其中,列向量aiu和biv均为DFT向量。
可选的,在本发明另一实施例中,Ai所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交,或者,Bi所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交。
可选的,在本发明另一实施例中,
Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量;
或者,
Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量。
可选的,在本发明另一实施例中,
Ai所对应的矩阵中的至少一个矩阵中包含一个列向量;
或者,
Bi所对应的矩阵中的至少一个矩阵中包含一个列向量。
可选的,在本发明另一实施例中,
Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续;
或者,
Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续。
可选的,在本发明另一实施例中,
Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交;
或者,
Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交。
可选的,在本发明另一实施例中,
Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中列向量ai1、列向量ai2及列向量ai3中的任意两个相邻的列向量相位连续,列向量ai3及列向量ai4相互正交;
或者,
Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为 DFT向量;其中列向量bi1、列向量bi2及列向量bi3中的任意两个相邻的列向量相位连续,列向量bi3及列向量bi4相互正交。
可选的,在本发明另一实施例中,
Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中列向量ai1及列向量ai2的相位连续,列向量bi3及列向量bi4的相位连续,列向量ai2及列向量ai3相互正交;
或者,
Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中列向量bi1及列向量bi2的相位连续,列向量bi3及列向量bi4的相位连续,列向量bi2及列向量bi3相互正交。
可选的,在本发明另一实施例中,
Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中列向量ai1及列向量ai2的相位非连续;
或者,
Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中列向量bi1及列向量bi2的相位非连续。
可选的,在本发明另一实施例中,
Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中列向量ai1及列向量ai2相互正交;
或者,
Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中列向量bi1及列向量bi2相互正交。
请参见图6,基于同一发明构思及上述各实施例,本发明实施例提供一种终端,该终端可以包括接收器601、处理器602和发送器603。
处理器602可以是CPU(中央处理器)或ASIC(Application Specific  Integrated Circuit,特定应用集成电路),可以是一个或多个用于控制程序执行的集成电路,可以是使用FPGA(Field Programmable Gate Array,现场可编程门阵列)开发的硬件电路,可以是基带芯片。接收器601和发送器603可以属于射频系统,用于与外部设备进行网络通信,具体可以通过以太网、无线接入网、无线局域网等网络与外部设备进行通信。其中,接收器601和发送器603可以是两个相互独立的硬件模块,或者,接收器601和发送器603也可以是同一硬件模块,即该硬件模块可以同时实现发送和接收的功能,例如该硬件模块可以是天线等。
这些接收器601和发送器603可以通过总线与处理器602相连接,或者也可以通过专门的连接线分别与处理器602连接。
通过对处理器602进行设计编程,将前述所示的方法所对应的代码固化到芯片内,从而使芯片在运行时能够执行前述实施例中的所示的方法。如何对处理器602进行设计编程为本领域技术人员所公知的技术,这里不再赘述。
该实施例中的终端与上述各实施例中所述的终端可以是同一终端,例如,该实施例中的处理器602可以实现图4中的处理模块402,该实施例中的接收器601可以实现图4中的接收模块401,该实施例中的发送器603可以实现图4中的发送模块403。
因此,对该实施例中的终端各个功能模块所执行的步骤等不多赘述,可参考如前的实施例中的描述。
请参见图7,基于同一发明构思及上述各实施例,本发明实施例提供一种基站,该基站可以包括发送器701、接收器702和处理器703。
处理器703可以是CPU或ASIC,可以是一个或多个用于控制程序执行的集成电路,可以是使用FPGA开发的硬件电路,可以是基带芯片。接收器702和发送器701可以属于射频系统,用于与外部设备进行网络通信,具体可以通过以太网、无线接入网、无线局域网等网络与外部设备进行通信。其中,接收器702和发送器701可以是两个相互独立的硬件模块,或者,接收器702和发送器701也可以是同一硬件模块,即该硬件模块可以同时实现发送和接 收的功能,例如该硬件模块可以是天线等。
这些接收器702和发送器701可以通过总线与处理器703相连接,或者也可以通过专门的连接线分别与处理器703连接。
通过对处理器703进行设计编程,将前述所示的方法所对应的代码固化到芯片内,从而使芯片在运行时能够执行前述实施例中的所示的方法。如何对处理器703进行设计编程为本领域技术人员所公知的技术,这里不再赘述。
该实施例中的基站与上述各实施例中所述的基站可以是同一基站,例如,该实施例中的处理器703可以实现图5中的处理模块503,该实施例中的接收器702可以实现图5中的接收模块502,该实施例中的发送器701可以实现图5中的发送模块501。
因此,对该实施例中的基站各个功能模块所执行的步骤等不多赘述,可参考如前的实施例中的描述。
另外,本发明实施例中的设备与如前所述的方法分别对应,设备中的模块的工作过程等可参考方法部分的描述,对于重复内容不多赘述。
本发明实施例中提供了一种新的W1的形态,即W1可以包含多个分块矩阵,且每个分块矩阵可表示为矩阵Ai和矩阵Bi的Kronecker积,这样就使得W不仅能支持水平维度的天线,还能够支持垂直维度的天线,为3D-MIMO系统提供了新的码本。
另外,本发明实施例中,Ai和Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的向量中有两个相邻的向量相位非连续,或,Ai和Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的向量中有两个向量正交,这就保证了支持3D-MIMO的码本在高rank时,能够找到正交的向量,且不需要降低采样率,也无需增加W1中的向量的个数。
所属领域的技术人员可以清楚地了解到,为描述的方便和简洁,仅以上述各功能单元的划分进行举例说明,实际应用中,可以根据需要而将上述功能分配由不同的功能单元完成,即将装置的内部结构划分成不同的功能单元, 以完成以上描述的全部或者部分功能。上述描述的系统,装置和单元的具体工作过程,可以参考前述方法实施例中的对应过程,在此不再赘述。
在本申请所提供的几个实施例中,应该理解到,所揭露的设备和方法,可以通过其它的方式实现。例如,以上所描述的装置实施例仅仅是示意性的,例如,所述单元或单元的划分,仅仅为一种逻辑功能划分,实际实现时可以有另外的划分方式,例如多个单元或组件可以结合或者可以集成到另一个系统,或一些特征可以忽略,或不执行。另一点,所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口,装置或单元的间接耦合或通信连接,可以是电性,机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的,作为单元显示的部件可以是或者也可以不是物理单元,即可以位于一个地方,或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外,在本申请各个实施例中的各功能单元可以集成在一个处理单元中,也可以是各个单元单独物理存在,也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现,也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时,可以存储在一个计算机可读取存储介质中。基于这样的理解,本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来,该计算机软件产品存储在一个存储介质中,包括若干指令用以使得一台计算机设备(可以是个人计算机,服务器,或者网络设备等)或processor(处理器)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括:U盘、移动硬盘、ROM、RAM、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述,以上实施例仅用以对本申请的技术方案进行了详细介绍,但以上实施例的说明只是用于帮助理解本发明实施例的方法,不应理解为对本 发明实施例的限制。本技术领域的技术人员在本发明实施例揭露的技术范围内,可轻易想到的变化或替换,都应涵盖在本发明实施例的保护范围之内。

Claims (60)

  1. 一种预编码方法,其特征在于,包括:
    接收基站发送的参考信号;
    基于所述参考信号,从码本中选择预编码矩阵,所述码本至少包含一个预编码矩阵W,其中W为两个矩阵W1和W2的乘积;
    其中,所述W1为分块对角矩阵,
    Figure PCTCN2015090839-appb-100001
    所述W1包含的分块矩阵的数量NB大于等于1,其中的每个分块矩阵Xi满足矩阵Ai和矩阵Bi的克罗内克Kronecker积,
    Figure PCTCN2015090839-appb-100002
    或者
    Figure PCTCN2015090839-appb-100003
    其中col( )表示列选择函数,1≤i≤NB;其中所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个相邻的列向量相位非连续,或,所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交;
    向所述基站发送预编码矩阵指示PMI,所述PMI用于指示所述预编码矩阵。
  2. 如权利要求1所述的方法,其特征在于,所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交,所述两个列向量为相邻的列向量。
  3. 如权利要求1或2所述的方法,其特征在于,所述Ai和所述Bi所对应的矩阵分别对应水平维度和垂直维度的信道特性,或者所述Ai和所述Bi所对应的矩阵分别对应垂直维度和水平维度的信道特性。
  4. 如权利要求1-3任一所述的方法,其特征在于,所述NB=2,W1=diag{X1,X2}。
  5. 如权利要求4所述的方法,其特征在于,分块矩阵X1与分块矩阵X2相同,其中矩阵A1=A2,B1=B2
  6. 如权利要求1-5任一所述的方法,其特征在于,Ai=[ai1,ai2,…,aiU],Bi=[bi1,bi2,…,biV],其中,列向量aiu和biv均为离散傅里叶变换 DFT向量。
  7. 如权利要求1-6任一所述的方法,其特征在于,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交,或者,所述矩阵Bi所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交。
  8. 如权利要求1-6任一所述的方法,其特征在于,
    所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量;
    或者,
    所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量。
  9. 如权利要求1-8任一所述的方法,其特征在于,
    所述Ai所对应的矩阵中的至少一个矩阵中包含一个列向量;
    或者,
    所述Bi所对应的矩阵中的至少一个矩阵中包含一个列向量。
  10. 如权利要求1-8任一所述的方法,其特征在于,
    所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续;
    或者,
    所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续。
  11. 如权利要求1-8任一所述的方法,其特征在于,
    所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列 向量相互正交;
    或者,
    所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交。
  12. 如权利要求1-11任一所述的方法,其特征在于,
    Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中所述列向量ai1、所述列向量ai2及所述列向量ai3中的任意两个相邻的列向量相位连续,所述列向量ai3及所述列向量ai4相互正交;
    或者,
    Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中所述列向量bi1、所述列向量bi2及所述列向量bi3中的任意两个相邻的列向量相位连续,所述列向量bi3及所述列向量bi4相互正交。
  13. 如权利要求1-11任一所述的方法,其特征在于,
    Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中所述列向量ai1及所述列向量ai2的相位连续,所述列向量bi3及所述列向量bi4的相位连续,所述列向量ai2及所述列向量ai3相互正交;
    或者,
    Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中所述列向量bi1及所述列向量bi2的相位连续,所述列向量bi3及所述列向量bi4的相位连续,所述列向量bi2及所述列向量bi3相互正交。
  14. 如权利要求1-11任一所述的方法,其特征在于,
    Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中所述列向量ai1及所述列向量ai2的相位非连续;
    或者,
    Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中所述列向量bi1及所述列向量bi2的相位非连续。
  15. 如权利要求1-11任一所述的方法,其特征在于,
    Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中所述列向量ai1及所述列向量ai2相互正交;
    或者,
    Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中所述列向量bi1及所述列向量bi2相互正交。
  16. 一种预编码方法,其特征在于,包括:
    向终端发送参考信号;
    接收所述终端根据所述参考信号发送的预编码矩阵指示PMI;
    根据所述PMI,从码本中选择预编码矩阵,所述码本至少包含一个预编码矩阵W,其中W满足两个矩阵W1和W2的乘积;
    其中,所述W1为分块对角矩阵,
    Figure PCTCN2015090839-appb-100004
    所述W1包含的分块矩阵的数量NB大于等于1,其中的每个分块矩阵Xi满足矩阵Ai和矩阵Bi的克罗内克Kronecker积,
    Figure PCTCN2015090839-appb-100005
    或者
    Figure PCTCN2015090839-appb-100006
    其中col( )表示列选择函数,1≤i≤NB;其中所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个相邻的列向量相位非连续,或,所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交。
  17. 如权利要求16所述的方法,其特征在于,所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交,所述两个列向量为相邻的列向量。
  18. 如权利要求16或17所述的方法,其特征在于,所述Ai和所述Bi所对应的矩阵分别对应水平维度和垂直维度的信道特性,或者所述Ai和所述Bi所对应的矩阵分别对应垂直维度和水平维度的信道特性。
  19. 如权利要求16-18任一所述的方法,其特征在于,所述NB=2,W1=diag{X1,X2}。
  20. 如权利要求19所述的方法,其特征在于,分块矩阵X1与分块矩阵X2相同,其中矩阵A1=A2,B1=B2
  21. 如权利要求16-20任一所述的方法,其特征在于,Ai=[ai1,ai2,…,aiU],Bi=[bi1,bi2,…,biV],其中,列向量aiu和biv均为离散傅里叶变换DFT向量。
  22. 如权利要求16-21任一所述的方法,其特征在于,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交,或者,所述Bi包所对应的矩阵中的至少一个矩阵含的列向量中任一相邻的两个列向量相互正交。
  23. 如权利要求16-21任一所述的方法,其特征在于,
    所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量;
    或者,
    所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量。
  24. 如权利要求16-23任一所述的方法,其特征在于,
    所述Ai所对应的矩阵中的至少一个矩阵中包含一个列向量;
    或者,
    所述Bi所对应的矩阵中的至少一个矩阵中包含一个列向量。
  25. 如权利要求16-23任一所述的方法,其特征在于,
    所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续;
    或者,
    所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续。
  26. 如权利要求16-23任一所述的方法,其特征在于,
    所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交;
    或者,
    所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交。
  27. 如权利要求16-26任一所述的方法,其特征在于,
    Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中所述列向量ai1、所述列向量ai2及所述列向量ai3中的任意两个相邻的列向量相位连续,所述列向量ai3及所述列向量ai4相互正交;
    或者,
    Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中所述列向量bi1、所述列向量bi2及所述列向量bi3中的任意两个相邻的列向量相位连续,所述列向量bi3及所述列向量bi4相互正交。
  28. 如权利要求16-26任一所述的方法,其特征在于,
    Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中所述列向量ai1及所述列向量ai2的相位连续,所述列向量bi3及所述列向量bi4的相位连续,所述列向量ai2及所述列向量ai3相互正交;
    或者,
    Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为 DFT向量;其中所述列向量bi1及所述列向量bi2的相位连续,所述列向量bi3及所述列向量bi4的相位连续,所述列向量bi2及所述列向量bi3相互正交。
  29. 如权利要求16-26任一所述的方法,其特征在于,
    Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中所述列向量ai1及所述列向量ai2的相位非连续;
    或者,
    Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中所述列向量bi1及所述列向量bi2的相位非连续。
  30. 如权利要求16-26任一所述的方法,其特征在于,
    Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中所述列向量ai1及所述列向量ai2相互正交;
    或者,
    Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中所述列向量bi1及所述列向量bi2相互正交。
  31. 一种终端,其特征在于,包括:
    接收模块,用于接收基站发送的参考信号;
    处理模块,用于基于所述参考信号,从码本中选择预编码矩阵,所述码本至少包含一个预编码矩阵W,其中W为两个矩阵W1和W2的乘积;
    其中,所述W1为分块对角矩阵,
    Figure PCTCN2015090839-appb-100007
    所述W1包含的分块矩阵的数量NB大于等于2,其中的每个分块矩阵Xi满足矩阵Ai和矩阵Bi的克罗内克Kronecker积,
    Figure PCTCN2015090839-appb-100008
    或者
    Figure PCTCN2015090839-appb-100009
    其中col( )表示列选择函数,1≤i≤NB;其中所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个相邻的列向量相位非连续,或,所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交;
    发送模块,用于向所述基站发送预编码矩阵指示PMI,所述PMI用于指 示所述预编码矩阵。
  32. 如权利要求31所述的终端,其特征在于,所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交,所述两个列向量为相邻的列向量。
  33. 如权利要求31或32所述的终端,其特征在于,所述Ai和所述Bi所对应的矩阵分别对应水平维度和垂直维度的信道特性,或者所述Ai和所述Bi所对应的矩阵分别对应垂直维度和水平维度的信道特性。
  34. 如权利要求31-33任一所述的终端,其特征在于,所述NB=2,W1=diag{X1,X2}。
  35. 如权利要求34所述的终端,其特征在于,分块矩阵X1与分块矩阵X2相同,其中矩阵A1=A2,B1=B2
  36. 如权利要求31-35任一所述的终端,其特征在于,Ai=[ai1,ai2,…,aiU],Bi=[bi1,bi2,…,biV],其中,列向量aiu和biv均为离散傅里叶变换DFT向量。
  37. 如权利要求31-36任一所述的终端,其特征在于,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交,或者,所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交。
  38. 如权利要求31-36任一所述的终端,其特征在于,
    所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量;
    或者,
    所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量。
  39. 如权利要求31-38任一所述的终端,其特征在于,
    所述Ai所对应的矩阵中的至少一个矩阵中包含一个列向量;
    或者,
    所述Bi所对应的矩阵中的至少一个矩阵中包含一个列向量。
  40. 如权利要求31-38任一所述的终端,其特征在于,
    所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续;
    或者,
    所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续。
  41. 如权利要求31-38任一所述的终端,其特征在于,
    所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交;
    或者,
    所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交。
  42. 如权利要求31-41任一所述的终端,其特征在于,
    Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中所述列向量ai1、所述列向量ai2及所述列向量ai3中的任意两个相邻的列向量相位连续,所述列向量ai3及所述列向量ai4相互正交;
    或者,
    Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中所述列向量bi1、所述列向量bi2及所述列向量bi3中的任意两个 相邻的列向量相位连续,所述列向量bi3及所述列向量bi4相互正交。
  43. 如权利要求31-41任一所述的终端,其特征在于,
    Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中所述列向量ai1及所述列向量ai2的相位连续,所述列向量bi3及所述列向量bi4的相位连续,所述列向量ai2及所述列向量ai3相互正交;
    或者,
    Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中所述列向量bi1及所述列向量bi2的相位连续,所述列向量bi3及所述列向量bi4的相位连续,所述列向量bi2及所述列向量bi3相互正交。
  44. 如权利要求31-41任一所述的终端,其特征在于,
    Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中所述列向量ai1及所述列向量ai2的相位非连续;
    或者,
    Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中所述列向量bi1及所述列向量bi2的相位非连续。
  45. 如权利要求31-41任一所述的终端,其特征在于,
    Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中所述列向量ai1及所述列向量ai2相互正交;
    或者,
    Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中所述列向量bi1及所述列向量bi2相互正交。
  46. 一种基站,其特征在于,包括:
    发送模块,用于向终端发送参考信号;
    接收模块,用于接收所述终端根据所述参考信号发送的预编码矩阵指示PMI;
    处理模块,用于根据所述PMI,从码本中选择预编码矩阵,所述码本至少包含一个预编码矩阵W,其中W为两个矩阵W1和W2的乘积;
    其中,所述W1为分块对角矩阵,
    Figure PCTCN2015090839-appb-100010
    所述W1包含的分块矩阵的数量NB大于等于2,其中的每个分块矩阵Xi满足矩阵Ai和矩阵Bi的克罗内克Kronecker积,
    Figure PCTCN2015090839-appb-100011
    或者
    Figure PCTCN2015090839-appb-100012
    其中col( )表示列选择函数,1≤i≤NB;其中所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个相邻的列向量相位非连续,或,所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交。
  47. 如权利要求46所述的基站,其特征在于,所述Ai和所述Bi所对应的总共2NB个矩阵中至少有一个矩阵包含的列向量中有两个列向量正交,所述两个列向量为相邻的列向量。
  48. 如权利要求46或47所述的基站,其特征在于,所述Ai和所述Bi所对应的矩阵分别对应水平维度和垂直维度的信道特性,或者所述Ai和所述Bi所对应的矩阵分别对应垂直维度和水平维度的信道特性。
  49. 如权利要求46-48任一所述的基站,其特征在于,所述NB=2,W1=diag{X1,X2}。
  50. 如权利要求49所述的基站,其特征在于,分块矩阵X1与分块矩阵X2相同,其中矩阵A1=A2,B1=B2
  51. 如权利要求46-50任一所述的基站,其特征在于,Ai=[ai1,ai2,…,aiU],Bi=[bi1,bi2,…,biV],其中,列向量aiu和biv均为离散傅里叶变换DFT向量。
  52. 如权利要求46-51任一所述的基站,其特征在于,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交,或者,所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中任一相邻的两个列向量相互正交。
  53. 如权利要求46-51任一所述的基站,其特征在于,
    所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量;
    或者,
    所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少包含一组相位连续的相邻列向量和一组相位不连续的相邻列向量。
  54. 如权利要求46-53任一所述的基站,其特征在于,
    所述Ai所对应的矩阵中的至少一个矩阵中包含一个列向量;
    或者,
    所述Bi所对应的矩阵中的至少一个矩阵中包含一个列向量。
  55. 如权利要求46-53任一所述的基站,其特征在于,
    所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续;
    或者,
    所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少一组相邻的列向量相位不连续。
  56. 如权利要求46-53任一所述的基站,其特征在于,
    所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交;
    或者,
    所述Bi所对应的矩阵中的至少一个矩阵包含的列向量中相邻的列向量相位连续,所述Ai所对应的矩阵中的至少一个矩阵包含的列向量中至少两个列向量相互正交。
  57. 如权利要求46-56任一所述的基站,其特征在于,
    Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中所述列向量ai1、所述列向量ai2及所述列向量ai3中的任意两个相邻的列向量相位连续,所述列向量ai3及所述列向量ai4相互正交;
    或者,
    Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中所述列向量bi1、所述列向量bi2及所述列向量bi3中的任意两个相邻的列向量相位连续,所述列向量bi3及所述列向量bi4相互正交。
  58. 如权利要求46-56任一所述的基站,其特征在于,
    Ai=[ai1,ai2,ai3,ai4],其中列向量ai1、列向量ai2、列向量ai3及列向量ai4均为DFT向量;其中所述列向量ai1及所述列向量ai2的相位连续,所述列向量bi3及所述列向量bi4的相位连续,所述列向量ai2及所述列向量ai3相互正交;
    或者,
    Bi=[bi1,bi2,bi3,bi4],其中列向量bi1、列向量bi2、列向量bi3及列向量bi4均为DFT向量;其中所述列向量bi1及所述列向量bi2的相位连续,所述列向量bi3及所述列向量bi4的相位连续,所述列向量bi2及所述列向量bi3相互正交。
  59. 如权利要求46-56任一所述的基站,其特征在于,
    Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中所述列向量ai1及所述列向量ai2的相位非连续;
    或者,
    Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中所述列向量bi1及所述列向量bi2的相位非连续。
  60. 如权利要求46-56任一所述的基站,其特征在于,
    Ai=[ai1,ai2],其中列向量ai1及列向量ai2均为DFT向量;其中所述列向量ai1及所述列向量ai2相互正交;
    或者,
    Bi=[bi1,bi2],其中列向量bi1及列向量bi2均为DFT向量;其中所述列向量bi1及所述列向量bi2相互正交。
PCT/CN2015/090839 2015-09-25 2015-09-25 一种预编码方法及装置 WO2017049640A1 (zh)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/CN2015/090839 WO2017049640A1 (zh) 2015-09-25 2015-09-25 一种预编码方法及装置
CN201580071563.2A CN107113104B (zh) 2015-09-25 2015-09-25 一种预编码方法及装置

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2015/090839 WO2017049640A1 (zh) 2015-09-25 2015-09-25 一种预编码方法及装置

Publications (1)

Publication Number Publication Date
WO2017049640A1 true WO2017049640A1 (zh) 2017-03-30

Family

ID=58385773

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2015/090839 WO2017049640A1 (zh) 2015-09-25 2015-09-25 一种预编码方法及装置

Country Status (2)

Country Link
CN (1) CN107113104B (zh)
WO (1) WO2017049640A1 (zh)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011038530A1 (en) * 2009-09-29 2011-04-07 France Telecom Research & Development Beijing Company Limited Method of precoding symbols for transmission, method of sending a quality value associated with a precoding vector and corresponding devices
CN103780332A (zh) * 2012-10-19 2014-05-07 电信科学技术研究院 传输编码指示信息和确定预编码矩阵的方法、系统及设备
WO2015018030A1 (zh) * 2013-08-08 2015-02-12 华为技术有限公司 确定预编码矩阵指示的方法、接收设备和发送设备

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101124932B1 (ko) * 2005-05-30 2012-03-28 삼성전자주식회사 어레이 안테나를 이용하는 이동 통신 시스템에서의 데이터송/수신 장치 및 방법
CN101534267B (zh) * 2008-03-14 2012-09-05 华为技术有限公司 预编码方法和装置
KR20100019929A (ko) * 2008-08-11 2010-02-19 엘지전자 주식회사 Sc-fdma mimo 코드북 설계 방법
KR101276855B1 (ko) * 2010-03-08 2013-06-18 엘지전자 주식회사 프리코딩 행렬 정보 전송방법 및 사용자기기와, 프리코딩 행렬 구성방법 및 기지국
DK2556597T3 (en) * 2010-04-07 2017-09-25 ERICSSON TELEFON AB L M (publ) PRE-CODE STRUCTURE FOR MIMO CODE
US8509338B2 (en) * 2010-05-05 2013-08-13 Motorola Mobility Llc Method and precoder information feedback in multi-antenna wireless communication systems
KR101081317B1 (ko) * 2010-07-12 2011-11-08 전북대학교산학협력단 릴레이 기반의 df 협력 무선 네트워크에서 분산형 μιμο 채널 프리코딩 및 디코딩 방법
CN108322244B (zh) * 2013-03-08 2021-08-31 华为技术有限公司 预编码矩阵指示的反馈方法、接收端和发射端
CN104052568A (zh) * 2013-03-12 2014-09-17 电子科技大学 针对定时同步互易性误差的协作多点传输预编码算法

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011038530A1 (en) * 2009-09-29 2011-04-07 France Telecom Research & Development Beijing Company Limited Method of precoding symbols for transmission, method of sending a quality value associated with a precoding vector and corresponding devices
CN103780332A (zh) * 2012-10-19 2014-05-07 电信科学技术研究院 传输编码指示信息和确定预编码矩阵的方法、系统及设备
WO2015018030A1 (zh) * 2013-08-08 2015-02-12 华为技术有限公司 确定预编码矩阵指示的方法、接收设备和发送设备

Also Published As

Publication number Publication date
CN107113104A (zh) 2017-08-29
CN107113104B (zh) 2020-06-30

Similar Documents

Publication Publication Date Title
US10063296B2 (en) Method for reporting channel state information, user equipment, and base station
US11736170B2 (en) Data transmission method, terminal device, and network device
CN109845126B (zh) 具有进一步优化的开销的多波束码本
US11757497B2 (en) Transmission precoding matrix indication method and device
WO2017050295A1 (zh) 一种多天线信道测量方法和装置
JP6539586B2 (ja) Lteにおける4txコードブックエンハンスメント
KR102293682B1 (ko) 첨단 무선 통신 시스템의 csi 보고를 위한 프리코더 코드북
WO2018228120A1 (zh) 一种发送下行控制信息dci的方法及装置
CN106170927B (zh) 一种信道状态信息的反馈和接收方法、设备
JP6733938B2 (ja) プリコーディング情報を送信し、且つプリコーディング情報をフィードバックするための方法及び装置
WO2019137058A1 (zh) 资源指示方法、终端设备和网络设备
CN107222244B (zh) 一种信道信息上报方法、装置及系统
WO2014101242A1 (zh) 报告信道状态信息csi的方法、用户设备和基站
WO2018171491A1 (zh) 无线通信的方法、网络设备和终端设备
WO2017167156A1 (zh) Dmrs的发送方法及装置
WO2018024157A1 (zh) 信道状态信息的发送方法、接收方法、装置和系统
CN115088224B (zh) 一种信道状态信息反馈方法及通信装置
WO2019196886A1 (zh) 一种预编码矩阵确定方法及装置
WO2017049640A1 (zh) 一种预编码方法及装置
WO2019157742A1 (zh) 信道状态信息矩阵信息处理方法及通信装置
CN115189837B (zh) 端口指示信息上报方法及终端
CN115150228B (zh) 数据传输方法、装置、设备以及存储介质
WO2023004612A1 (en) Enhancement of beam management for multi-trp operation

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 15904516

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 15904516

Country of ref document: EP

Kind code of ref document: A1