CN107529691B - Method and device in wireless communication - Google Patents

Method and device in wireless communication Download PDF

Info

Publication number
CN107529691B
CN107529691B CN201610454969.5A CN201610454969A CN107529691B CN 107529691 B CN107529691 B CN 107529691B CN 201610454969 A CN201610454969 A CN 201610454969A CN 107529691 B CN107529691 B CN 107529691B
Authority
CN
China
Prior art keywords
information
vectors
wireless signal
vector
groups
Prior art date
Legal status (The legal status 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 status listed.)
Active
Application number
CN201610454969.5A
Other languages
Chinese (zh)
Other versions
CN107529691A (en
Inventor
张晓博
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Langbo Communication Technology Co Ltd
Original Assignee
Shanghai Langbo Communication Technology Co Ltd
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 Shanghai Langbo Communication Technology Co Ltd filed Critical Shanghai Langbo Communication Technology Co Ltd
Priority to CN201610454969.5A priority Critical patent/CN107529691B/en
Priority to CN202010433923.1A priority patent/CN111585627B/en
Publication of CN107529691A publication Critical patent/CN107529691A/en
Application granted granted Critical
Publication of CN107529691B publication Critical patent/CN107529691B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0417—Feedback systems
    • H04B7/0421—Feedback systems utilizing implicit feedback, e.g. steered pilot signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/0626—Channel coefficients, e.g. channel state information [CSI]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0636—Feedback format

Landscapes

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

Abstract

The invention provides a method and a device in wireless communication. The UE firstly sends a first wireless signal in a first time window; the second wireless signal is then transmitted in a second time window. Wherein the first wireless signal includes first information and the second wireless signal includes second information. The first information and the second information are used to determine M merge vectors. The first information is used to determine M vector groups and the second information is used to determine M coefficient groups. The M vector groups and the M coefficient groups are in one-to-one correspondence. The merge vector is generated from the set of vectors and the corresponding set of coefficients. The invention reduces the CSI feedback overhead on the premise of ensuring the CSI feedback precision.

Description

Method and device in wireless communication
Technical Field
The present invention relates to a method and an apparatus for multi-antenna transmission in the technical field of mobile communication, and in particular, to a scheme for CSI (Channel Status Information) feedback in a scenario where multiple antennas are deployed at a base station side.
Background
In downlink multi-antenna transmission, a UE (User Equipment) generally needs to feed back CSI to assist a base station to perform precoding. Implicit (im) CSI feedback is supported in legacy third Generation partnership Project (3 GPP-3 rd Generation Partner Project) cellular network systems. Implicit CSI includes CRI (CSI-RS resource indicator), ri (rank indicator), pmi (precoding Matrix indicator), cqi (channel quality indicator), and the like. In the conventional CSI scheme, the rank of the matrix corresponding to the PMI fed back by the UE is indicated by the RI fed back by the UE.
With the increase of the number of antennas equipped on the base station side, the accuracy of the conventional implicit CSI is difficult to meet the requirement of MU-MIMO (multi-user multiple input multiple output) transmission. Therefore, studies for enhancing CSI are proposed in 3GPP R (Release) 14. Wherein enhanced implicit CSI and Explicit (Explicit) CSI are proposed separately.
As an enhanced implicit CSI scheme, LC (Linear Combination) is receiving wide attention; potential explicit CSI schemes include eigenvector feedback, covariance matrix feedback, and the like.
The required CSI redundancy (Overhead) is greatly enhanced, whether enhanced implicit CSI feedback or explicit CSI feedback. Therefore, how to reduce CSI redundancy on the premise of ensuring feedback accuracy is a problem to be solved.
The present invention discloses a solution to the above problems. It should be noted that, without conflict, the embodiments and features in the embodiments in the UE (User Equipment) of the present application may be applied to the base station, and vice versa. Further, the embodiments and features of the embodiments of the present application may be arbitrarily combined with each other without conflict.
Disclosure of Invention
The inventor finds through research that any one channel vector can be represented by a group of basis vectors and corresponding weighting coefficients. Since the number of basis vectors (with larger weight coefficient moduli) is often much smaller than the dimension of the channel vector, feeding back a set of basis vectors (with larger weight coefficient moduli) and corresponding weight coefficients may reduce the feedback overhead. The basis vectors belong to a target vector space, and the weighting coefficients can be any complex number, so that the feedback of the basis vectors can be completed by feeding back the positions of the basis vectors in the target vector space, and the feedback of the weighting coefficients can be completed by directly feeding back unquantized complex scalars, so that quantization errors can be avoided, and the feedback precision is improved. Considering that the change speed of the basis vector is slower than the weighting coefficient in both the frequency domain and the time domain, the two can perform step feedback to meet the feedback granularity requirement of each in the video domain, thereby further improving the feedback efficiency.
According to the above analysis, the present invention discloses a method used in a UE for downlink multi-antenna transmission, wherein the method comprises the following steps:
a method in a UE for downlink multi-antenna transmission, comprising the steps of:
-step a. transmitting a first wireless signal in a first time window;
-step b. transmitting a second radio signal in a second time window.
Wherein the first wireless signal includes first information and the second wireless signal includes second information. The first information and the second information are used to determine M merge vectors. The first information is used to determine M vector groups and the second information is used to determine M coefficient groups. The M vector groups and the M coefficient groups are in one-to-one correspondence. The merge vector is generated from the set of vectors and the corresponding set of coefficients. The vector group comprises one or more vectors, and the coefficient group comprises one or more scalars. M is a positive integer greater than or equal to 1.
As an embodiment, the dimensions of the vectors in the set of vectors are the same.
As an embodiment, the first information is used to determine partial vectors of the M vector groups.
As an embodiment, the second information is used to determine a partial coefficient in the M coefficient groups.
As an embodiment, the first information is used to determine a partial vector group of the M vector groups.
As an embodiment, the second information is used to determine a partial coefficient group of the M coefficient groups.
As an example, a given one of the vector groups includes Q1 vectors, and the corresponding coefficient group includes Q1-1 coefficients.
As an example, a given one of the vector groups includes Q1 vectors, and the corresponding coefficient group includes Q1 coefficients.
As an embodiment, the first time window comprises a positive integer number of consecutive time units, the second time window comprises a positive integer number of consecutive time units, and the time units in the second time window belong to the first time window. As an example, the duration of the time unit is equal to 1 millisecond. As one embodiment, the time unit has a duration of less than 1 millisecond. As an embodiment, the time unit is a subframe.
As an embodiment, the first wireless signal is transmitted on an uplink physical layer control channel (i.e., a channel that can only be used to carry physical layer signaling). As an embodiment, the physical uplink Control Channel is a PUCCH (physical uplink Control Channel)
As an example, the second wireless signal is transmitted on an uplink physical layer data channel (i.e., a channel that can be used to carry physical layer data). As an embodiment, the uplink physical layer data Channel is a PUSCH (physical uplink Shared Channel).
As an embodiment, the transmission channel corresponding to the second wireless signal is an UL-SCH (UpLink shared channel).
For one embodiment, the second wireless signal further includes physical layer data.
As an embodiment, any two vectors of one of the sets of vectors are unequal.
As an embodiment, any two vectors of one of said sets of vectors are orthogonal.
As an embodiment, the modulus of any one vector in one of the vector groups is 1.
As an embodiment, one of the merging vectors is obtained by adding vectors in the corresponding vector group after weighting the vectors in the corresponding coefficient group by scalars in the corresponding coefficient group.
Since any vector can be represented as a linear combination of a set of mutually orthogonal basis vectors, in the above embodiment, the set of vectors contains information of the basis vectors, and the set of corresponding coefficients contains information of the weighting coefficients of the basis vectors, both can completely describe an arbitrary vector. The number of basis vectors (with larger weight coefficient modulus) of a channel vector is often much smaller than the dimension of the channel vector, so that feedback of basis vectors (with larger weight coefficient modulus) and corresponding weight coefficients can reduce feedback overhead while ensuring feedback accuracy.
As an embodiment, the step a further includes the steps of:
-step a2. sending the first parameters.
Wherein the first parameter is equal to M.
Specifically, according to an aspect of the present invention, the step a further includes the steps of:
step A0. receives the first reference signal and determines a first channel matrix.
Wherein the first information is determined by the first channel matrix, any one vector in the M vector groups belongs to a target vector space, and the target vector space includes a plurality of vectors.
As an embodiment, the first Reference Signal includes T1 RS (Reference Signal) ports, the T1 RS ports are respectively transmitted by T1 Antenna ports (Antenna ports), and the T1 is a positive integer greater than 1.
As an embodiment, a Pattern (Pattern) of one said RS port within PRBP (Physical Resource Block Pattern) is a Pattern of one CSI-RS port within PRBP.
As one embodiment, the target vector space is fixed.
For one embodiment, the target vector space is configurable.
As an embodiment, the target vector space is cell-specific.
As an embodiment, the UE performs channel estimation on the first reference signal in the step a0 to determine the first parameter.
As an embodiment, the Reference Resource (Reference Resource) of the first channel matrix is a first frequency domain Resource in the frequency domain. As an embodiment, the first frequency domain resource is a system bandwidth (of a carrier occupied by the first reference signal).
As an embodiment, any two vectors in the target vector space are orthogonal, and the modulus of any one vector in the target vector space is 1.
As one embodiment, the vectors in the target vector space may be determined by columns of a DFT (Digital fourier transform) matrix having dimensions equal to the dimensions of the vectors in the set of vectors.
As an embodiment, the first channel matrix is a downlink channel parameter matrix.
As an embodiment, the first channel matrix is a downlink channel covariance matrix.
Specifically, according to an aspect of the present invention, the step B further includes the steps of:
step B0. receives the second reference signal and determines the second channel matrix.
Wherein the second channel matrix is used for determining the second information, the scalar in the coefficient set being any complex number. The second information indicates Q2 coefficients in the M coefficient groups. The second wireless signal includes Q2 signature sequences, the Q2 signature sequences being used to determine the Q2 coefficients, respectively.
As an embodiment, the scalar in the coefficient group is any complex number which is not quantized, so that the error caused by quantization is avoided, and the feedback precision is improved compared with a codebook-based feedback mode. The number of scalars in the coefficient group corresponding to one of the merged vectors may be much smaller than the dimension of the merged vector, thereby reducing the feedback overhead compared to a method of directly feeding back each element of the merged vector that is not quantized.
As an embodiment, the RS port included in the second reference signal and the RS port included in the first reference signal are the same.
As an embodiment, the first reference signal and the second reference signal are transmitted on the same carrier.
As one embodiment, the first reference signal is the second reference signal.
As an embodiment, a cut-off time of an Observation Window (occupancy Window) of the second reference signal in the time domain is later than a cut-off time of an Observation Window of the first reference signal in the time domain.
As an embodiment, an observation window of the second reference signal in the time domain and an observation window of the first reference signal in the time domain partially Overlap (Overlap).
As an embodiment, the signature sequence is obtained by multiplying a reference sequence by a parameter. As an embodiment the modulus of the parameter is equal to the modulus of the corresponding coefficient of the signature sequence, and as an embodiment the phase of the parameter is equal to the phase of the corresponding coefficient of the signature sequence.
As an example, the reference sequence is a Zadoff-Chu sequence.
As an embodiment, the reference sequence is a pseudo-random sequence.
As an embodiment, the second radio signal further comprises a reference signal, which is used to determine a channel response on time-frequency resources occupied by the second radio signal. As an embodiment, a channel response on time-frequency resources occupied by the second radio signal is used for determining a reception matrix, which is used for receiving the signature sequence.
In the above embodiment, the receiving matrix is used to combine the signature sequences received from the plurality of antennas of the base station, and the obtained combining gain increases as the number of antennas of the base station increases, so that the degree of freedom provided by the plurality of antennas of the base station can be fully utilized to improve the receiving quality of the signature sequences.
As an embodiment, the reference resources of the second channel matrix are second frequency domain resources in the frequency domain. As an embodiment, the second frequency domain resource is a part of a system bandwidth (of a carrier to which the second reference signal corresponds).
As an embodiment, the second channel matrix is a downlink channel parameter matrix.
As an embodiment, the second channel matrix is a downlink channel covariance matrix.
Specifically, according to an aspect of the present invention, characterized in that the first information indicates Q3 vectors of the M vector groups, the first wireless signal further includes third information used for determining positions of the Q3 vectors in the M vector groups.
As an embodiment, the M vector groups respectively correspond to basis vector groups of M eigenvectors having the largest eigenvalues of the first channel matrix. And the M eigenvalues corresponding to the M vector groups are arranged according to a descending order.
As one embodiment, the candidate positions of the Q3 vectors in the M vector groups include some or all of the first M1 vector groups of the M vector groups. As a sub-embodiment, the Q3 vectors may be some or all of the vectors in a first of the M vector groups. As a sub-embodiment, the Q3 vectors may be part or all of the vectors in a first one of the M vector groups and part or all of the vectors in a second one of the M vector groups.
In the above embodiment, the UE dynamically indicates, through the third information, the positions of the Q3 vectors fed back by the first information in the M vector groups, so as to flexibly match the current CSI, select the most important Q3 vectors for feedback, and further improve the feedback accuracy.
Specifically, according to an aspect of the present invention, the step a further includes the steps of:
-a step a1. receiving a first signaling.
Wherein the first signaling is used to determine at least one of time-frequency resources and the first frequency-domain resources occupied by the first wireless signal.
As an embodiment, the first signaling is physical layer signaling.
As an embodiment, the first signaling is higher layer signaling.
Specifically, according to an aspect of the present invention, the step B further includes the steps of:
-step b1. receiving a second signaling.
Wherein the second signaling is used to determine at least one of the time-frequency resources and the second frequency-domain resources occupied by the second radio signal.
As an embodiment, the second signaling is physical layer signaling.
Specifically, according to one aspect of the present invention, the method further comprises the following steps:
-step c.
Wherein the M combining vectors are used to generate the third wireless signal.
As an embodiment, the third wireless signal is transmitted on a downlink physical layer data channel (i.e. a channel that can be used to carry physical layer data). As an embodiment, the downlink physical layer data Channel is a PDSCH (physical downlink Shared Channel).
As an embodiment, the transmission channel corresponding to the third wireless signal is a DL-SCH (DownLink shared channel).
For one embodiment, the third wireless signal further includes physical layer data.
As an embodiment, the M combining vectors are used to determine a precoding matrix corresponding to the third wireless signal.
As an embodiment, the column vectors in the precoding matrix corresponding to the third wireless signal include part or all of the M combining vectors.
The invention discloses a method used in a base station for downlink multi-antenna transmission, which comprises the following steps:
-a step a. receiving a first wireless signal in a first time window;
-step b. receiving a second radio signal in a second time window.
Wherein the first wireless signal includes first information and the second wireless signal includes second information. The first information and the second information are used to determine M merge vectors. The first information is used to determine M vector groups and the second information is used to determine M coefficient groups. The M vector groups and the M coefficient groups are in one-to-one correspondence. The merge vector is generated from the set of vectors and the corresponding set of coefficients. The vector group comprises one or more vectors, and the coefficient group comprises one or more scalars. M is a positive integer greater than or equal to 1.
As one embodiment, in the step a, it is assumed that the M vector groups are basis vector groups to which M eigenvectors having the largest eigenvalues of a first channel matrix for a wireless channel from a cell maintained by the base station to a sender of the first wireless signal correspond. As an embodiment, the reference resources of the first channel matrix are first frequency domain resources in the frequency domain. As one embodiment, the first frequency domain resource is a system bandwidth. As an embodiment, any two vectors of the set of basis vectors are orthogonal and a modulus of any one vector of the set of basis vectors is 1.
As an embodiment, one of the merging vectors is obtained by adding vectors in the corresponding vector group after weighting by scalars in the corresponding coefficient group.
As one embodiment, assume that the M combining vectors are M eigenvectors of a second channel matrix containing eigenvalue information, wherein the second channel matrix is for a wireless channel from a cell maintained by the base station to a sender of the first wireless signal, wherein the M eigenvectors containing eigenvalue information correspond to M largest eigenvalues of the second channel matrix. As an embodiment, the reference resources of the second channel matrix are second frequency domain resources in the frequency domain. As one embodiment, the second frequency domain resource is a portion of a system bandwidth.
As an embodiment, the step a further includes the steps of:
-a step a2. receiving a first parameter.
Wherein the first parameter is equal to M.
Specifically, according to one aspect of the present invention, step a further includes the following steps:
step A0. transmits a first reference signal, which is used to determine a first channel matrix.
Wherein the first information is determined by the first channel matrix, any one vector in the M vector groups belongs to a target vector space, and the target vector space includes a plurality of vectors.
As an embodiment, any two vectors in the target vector space are orthogonal, and the modulus of any one vector in the target vector space is 1.
Specifically, according to one aspect of the present invention, step B further includes the following steps:
step B0. transmits a second reference signal, which is used to determine a second channel matrix.
Wherein the second channel matrix is used for determining the second information, the scalar in the coefficient set being any complex number. The second information indicates Q2 coefficients in the M coefficient groups. The second wireless signal includes Q2 signature sequences, the Q2 signature sequences being used to determine the Q2 coefficients, respectively.
As an embodiment, the scalar in the coefficient group is any complex number which is not quantized, so that the error caused by quantization is avoided, and the feedback precision is improved compared with a codebook-based feedback mode. The number of scalars in the coefficient group corresponding to one of the merged vectors may be much smaller than the dimension of the merged vector, thereby reducing the feedback overhead compared to a method of directly feeding back each element of the merged vector that is not quantized.
For one embodiment, the base station simulates the second channel matrix using the M combining vectors.
As an embodiment, the base station further needs to receive a reference signal from the second wireless signal, where the reference signal is used to determine a channel response on a time-frequency resource occupied by the second wireless signal. As an embodiment, a channel response on time-frequency resources occupied by the second radio signal is used for determining a reception matrix, which is used for receiving the signature sequence.
In the above embodiment, the receiving matrix is used to combine the signature sequences received from the plurality of antennas of the base station, and the obtained combining gain increases as the number of antennas of the base station increases, so that the degree of freedom provided by the plurality of antennas of the base station can be fully utilized to improve the receiving quality of the signature sequences.
As an embodiment, the base station and the UE share the same reference sequence. As an example, the reference sequence is a Zadoff-Chu sequence. As an embodiment, the reference sequence is a pseudo-random sequence.
As one embodiment, the M combining vectors are used for scheduling for a sender of the first wireless signal. As an embodiment, the frequency domain resource for which the scheduling is directed belongs to the second frequency domain resource.
As one embodiment, the M combining vectors are used for precoding for a transmitter of the first wireless signal. As one embodiment, the precoded wireless signal is transmitted on the second frequency domain resource.
Specifically, according to an aspect of the present invention, characterized in that the first information indicates Q3 vectors of the M vector groups, the first wireless signal further includes third information used for determining positions of the Q3 vectors in the M vector groups.
As an embodiment, the M vector groups are basis vector groups corresponding to M eigenvectors having the largest eigenvalue of the first channel matrix, respectively. And the M eigenvalues corresponding to the M vector groups are arranged according to a descending order.
As one embodiment, the candidate positions of the Q3 vectors in the M vector groups include some or all of the first M1 vector groups of the M vector groups. As a sub-embodiment, the Q3 vectors may be some or all of the vectors in a first of the M vector groups. As a sub-embodiment, the Q3 vectors may be part or all of the vectors in a first one of the M vector groups and part or all of the vectors in a second one of the M vector groups.
In the above embodiment, the third information dynamically indicates the positions of the Q3 vectors fed back by the first information in the M vector groups, so that the current CSI can be flexibly matched, and the most important Q3 vectors are selected for feedback, thereby further improving the feedback accuracy.
Specifically, according to an aspect of the present invention, the step a further includes the steps of:
-step a1. sending a first signaling.
Wherein the first signaling is used to determine at least one of time-frequency resources and the first frequency-domain resources occupied by the first wireless signal.
As an embodiment, the first signaling is physical layer signaling.
As an embodiment, the first signaling is higher layer signaling.
Specifically, according to an aspect of the present invention, the step B further includes the steps of:
-step b1. sending a second signaling.
Wherein the second signaling is used to determine at least one of the time-frequency resources and the second frequency-domain resources occupied by the second radio signal.
As an embodiment, the second signaling is physical layer signaling.
Specifically, according to one aspect of the present invention, the method further comprises the following steps:
-step c.
Wherein the M combining vectors are used to generate the third wireless signal.
As an embodiment, the third wireless signal is transmitted on a downlink physical layer data channel (i.e. a channel that can be used to carry physical layer data). As an embodiment, the downlink physical layer data Channel is a PDSCH (physical downlink Shared Channel).
As an embodiment, the transmission channel corresponding to the third wireless signal is a DL-SCH (DownLink shared channel).
For one embodiment, the third wireless signal further includes physical layer data.
As an embodiment, the M combining vectors are used to determine a precoding matrix corresponding to the third wireless signal.
As an embodiment, the column vectors in the precoding matrix corresponding to the third wireless signal include part or all of the M combining vectors.
The invention discloses user equipment used for downlink multi-antenna transmission, which comprises the following modules:
a first processing module: for transmitting a first wireless signal in a first time window;
a second processing module: for transmitting a second wireless signal in a second time window;
a first receiving module: for receiving the third wireless signal.
Wherein the first wireless signal includes first information and the second wireless signal includes second information. The first information and the second information are used to determine M merge vectors. The first information is used to determine M vector groups and the second information is used to determine M coefficient groups. The M vector groups and the M coefficient groups are in one-to-one correspondence. The merge vector is generated from the set of vectors and the corresponding set of coefficients. The vector group comprises one or more vectors, and the coefficient group comprises one or more scalars. Any one vector in the M vector groups belongs to a target vector space, and the target vector space comprises a plurality of vectors. The M combining vectors are used to generate the third wireless signal. M is a positive integer greater than or equal to 1.
As an embodiment, any two vectors of one of said sets of vectors are orthogonal. As an embodiment, the modulus of any one vector in one of the vector groups is 1.
As an embodiment, any two vectors in the target vector space are orthogonal, and the modulus of any one vector in the target vector space is 1.
As an embodiment, one of the merging vectors is obtained by adding vectors in the corresponding vector group after weighting the vectors in the corresponding coefficient group by scalars in the corresponding coefficient group.
As an embodiment, the user equipment is characterized in that the first processing module is further configured to receive a first reference signal and determine a first channel matrix.
Wherein the first information is determined by the first channel matrix, any one vector in the M vector groups belongs to a target vector space, and the target vector space includes a plurality of vectors.
As an embodiment, the reference resources of the first channel matrix are first frequency domain resources in the frequency domain. As one embodiment, the first frequency domain resource is a system bandwidth.
As an embodiment, the user equipment is characterized in that the first processing module is further configured to send the first parameter. Wherein the first parameter is equal to M.
As an embodiment, the above user equipment is characterized in that the first processing module is further configured to receive a first signaling. Wherein the first signaling is used to determine at least one of time-frequency resources and the first frequency-domain resources occupied by the first wireless signal.
As an embodiment, the user equipment is characterized in that the second processing module is further configured to receive a second reference signal and determine a second channel matrix.
Wherein the second channel matrix is used for determining the second information, the scalar in the coefficient set being any complex number. The second information indicates Q2 coefficients in the M coefficient groups. The second wireless signal includes Q2 signature sequences, the Q2 signature sequences being used to determine the Q2 coefficients, respectively.
As an embodiment, the second radio signal further comprises a reference signal, which is used to determine a channel response on time-frequency resources occupied by the second radio signal. As an embodiment, a channel response on time-frequency resources occupied by the second radio signal is used for determining a reception matrix, which is used for receiving the signature sequence.
As an embodiment, the reference resources of the second channel matrix are second frequency domain resources in the frequency domain. As one embodiment, the second frequency domain resource is a portion of a system bandwidth.
As an embodiment, the user equipment is characterized in that the second processing module is further configured to receive a second signaling. Wherein the second signaling is used to determine at least one of the time-frequency resources and the second frequency-domain resources occupied by the second radio signal.
As an embodiment, the above user equipment is characterized in that the first information indicates Q3 vectors of the M vector groups, the first radio signal further comprises third information used for determining positions of the Q3 vectors in the M vector groups.
The invention discloses base station equipment used for downlink multi-antenna transmission, which comprises the following modules:
a third processing module: for receiving a first wireless signal in a first time window;
a fourth processing module: for receiving a second wireless signal in a second time window;
a first sending module: for transmitting a third wireless signal.
Wherein the first wireless signal includes first information and the second wireless signal includes second information. The first information and the second information are used to determine M merge vectors. The first information is used to determine M vector groups and the second information is used to determine M coefficient groups. The M vector groups and the M coefficient groups are in one-to-one correspondence. The merge vector is generated from the set of vectors and the corresponding set of coefficients. The vector group comprises one or more vectors, and the coefficient group comprises one or more scalars. The M combining vectors are used to generate the third wireless signal. M is a positive integer greater than or equal to 1.
As an embodiment, the base station device is characterized in that the third processing module is further configured to assume that the M vector groups are basis vector groups corresponding to M eigenvectors having the largest eigenvalues of a first channel matrix for a wireless channel from a cell maintained by the base station to a sender of the first wireless signal. As an embodiment, the reference resources of the first channel matrix are first frequency domain resources in the frequency domain. As one embodiment, the first frequency domain resource is a system bandwidth. As an embodiment, any two vectors of the set of basis vectors are orthogonal and a modulus of any one vector of the set of basis vectors is 1.
As an embodiment, the base station device is characterized in that the third processing module is further configured to send a first reference signal, and the first reference signal is used to determine the first channel matrix. Wherein the first information is determined by the first channel matrix, any one vector in the M vector groups belongs to a target vector space, and the target vector space includes a plurality of vectors.
As an embodiment, the base station device is characterized in that the third processing module is further configured to receive a first parameter. Wherein the first parameter is equal to M.
As an embodiment, the base station device is characterized in that the third processing module is further configured to send a first signaling.
Wherein the first signaling is used to determine at least one of time-frequency resources and the first frequency-domain resources occupied by the first wireless signal.
As an embodiment, the base station device is characterized in that the fourth processing module is further configured to assume that one of the merging vectors is obtained by adding vectors in the corresponding vector group after weighting by scalars in the corresponding coefficient group.
As an embodiment, the base station device is characterized in that the fourth processing module is further configured to assume that the M combining vectors are M eigenvectors containing eigenvalue information of a second channel matrix, where the second channel matrix is for a wireless channel from a cell maintained by the base station to a sender of the first wireless signal, and the M eigenvectors containing eigenvalue information correspond to M maximum eigenvalues of the second channel matrix. As an embodiment, the reference resources of the second channel matrix are second frequency domain resources in the frequency domain. As one embodiment, the second frequency domain resource is a portion of a system bandwidth.
As an embodiment, the base station device is characterized in that the fourth processing module is further configured to send a second reference signal, and the second reference signal is used to determine a second channel matrix. Wherein the second channel matrix is used for determining the second information, the scalar in the coefficient set being any complex number. The second information indicates Q2 coefficients in the M coefficient groups. The second wireless signal includes Q2 signature sequences, the Q2 signature sequences being used to determine the Q2 coefficients, respectively.
As an embodiment, the base station device is characterized in that the fourth processing module is further configured to receive a reference signal from the second wireless signal, where the reference signal is used to determine a channel response on a time-frequency resource occupied by the second wireless signal. As an embodiment, a channel response on time-frequency resources occupied by the second radio signal is used for determining a reception matrix, which is used for receiving the signature sequence.
As an embodiment, the base station device is characterized in that the fourth processing module is further configured to send a second signaling.
Wherein the second signaling is used to determine at least one of the time-frequency resources and the second frequency-domain resources occupied by the second radio signal.
As an embodiment, the above base station device is characterized in that the first information indicates Q3 vectors of the M vector groups, the first radio signal further includes third information used for determining positions of the Q3 vectors in the M vector groups.
Compared with the traditional scheme, the invention has the following advantages:
feeding back a CSI vector with a set of basis vectors and corresponding weighting factors, reducing the CSI feedback overhead while ensuring the CSI feedback accuracy
Feedback of unquantized weighting coefficients to avoid quantization errors and improve CSI feedback accuracy
And dynamically indicating the positions of the Q3 vectors fed back by the first information in the M vector groups through the third information, so as to flexibly match the current CSI and improve the feedback accuracy.
Through the second signaling, the base station dynamically triggers the sending of the second information, thereby further reducing CSI feedback overhead.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments made with reference to the following drawings:
fig. 1 shows a flow diagram of a downstream transmission according to an embodiment of the invention;
FIG. 2 shows a schematic diagram of a first time window according to an embodiment of the invention;
fig. 3 shows a block diagram of a processing device used in a UE according to an embodiment of the invention;
fig. 4 shows a block diagram of a processing device for use in a base station according to an embodiment of the invention;
Detailed Description
The technical solutions of the present invention will be further described in detail with reference to the accompanying drawings, and it should be noted that the features of the embodiments and examples of the present application may be arbitrarily combined with each other without conflict.
Example 1
Embodiment 1 illustrates a flow chart of downlink transmission, as shown in fig. 1. In fig. 1, base station N1 is the serving cell maintenance base station for UE U2. In FIG. 1, the steps in block F0, block F1, block F2, and block F3, respectively, are optional.
For N1, a first reference signal is sent in step S101; transmitting a first signaling in step S102; receiving a first wireless signal in step S11; transmitting a second reference signal in step S103; transmitting a second signaling in step S104; receiving a second wireless signal in step S12; a third wireless signal is transmitted in step S13.
For U2, receiving a first reference signal in step S201, determining a first channel matrix; receiving a first signaling in step S202; transmitting a first wireless signal in a first time window in step S21; receiving a second reference signal in step S203, determining a second channel matrix; receiving a second signaling in step S204; transmitting a second wireless signal in a second time window in step S22; the third wireless signal is received in step S23.
In embodiment 1, the first wireless signal includes first information and third information, and the second wireless signal includes second information. At least one of the first information, the third information, or the second information is used by base station N1 to determine all or part of the M combining vectors. At least one of the first information and the third information is used by a base station N1 to determine all or part of the vectors of the M vector groups, and the second information is used by a base station N1 to determine all or part of the coefficients in the M coefficient groups. The M vector groups and the M coefficient groups are in one-to-one correspondence. The merge vector is generated from the set of vectors and the corresponding set of coefficients. The vector group comprises one or more vectors, and the coefficient group comprises one or more scalars. M is a positive integer greater than or equal to 1. The first information is determined by the first channel matrix, the first information being associated with the first frequency domain resources. The second information is determined by the second channel matrix, the second information being associated with the second frequency domain resource.
As sub-embodiment 1 of embodiment 1, the first channel matrix is a downlink channel coefficient matrix. The eigenvalue decomposition of the first channel matrix is represented as, where NT，NR，U1，V1And D1The method comprises the following steps: the number of RS ports included in the first reference signal measured by U2 in step S201, the number of receiving antennas of U2, unitary matrix of order NT×NRDiagonal matrix of order (diagonal elements in descending order from top to bottom), NR×NRA unitary matrix of order. Wherein V1 HThe conjugate transpose of the representation. The s-th left eigenvector of the first channel matrix is U1Is denoted by u1,s. The s-th eigenvalue of the first channel matrix is D1Is denoted by d1,s. With S1The number of significant eigenvalues representing the first channel matrix, i.e. 0 therein<η<1 is a predefined threshold. u. of1,sThe projection onto an object vector space F can be represented as where F is a unitary matrix of order and the columns of F represent NTA set of orthonormal bases of dimensional space, a1,sIs NTX 1 order vector, representing u1,sProjection onto F. Denoting a by the set of subscripts1,sA sort mode of the medium elements, so that any m is sorted<n，1≤m≤NT，1≤n≤NTThe following conditions are satisfied
Wherein is represented by a1,sThe ith element of (a) represents the modulus of a. By P(1,s)Denotes a1,sNumber of middle important elements, i.e.
Wherein 0<λ<1 is a predefined threshold. In this sub-embodiment, M equals S1The third information is used for feedback, and the first information is used for feeding back S1Group subscripts, wherein S is 1 to S1。
As a sub-embodiment of sub-embodiment 1 of embodiment 1, F is NTDFT (Digital fourier transform) matrix of order. As a sub-embodiment of sub-embodiment 1 of embodiment 1, F is NT_1DFT matrix of order and NT_2Kronecker product of DFT matrix of order, where N isT_1×NT_2＝NT。
As a sub-embodiment of sub-embodiment 1 of embodiment 1, U2 further sends a first parameter in the first time window, the first parameter being equal to S1。
As a sub-embodiment 2 of embodiment 1, the second channel matrix is a downlink channel parameter matrix, and the eigenvalue decomposition of the second channel matrix is expressed as, where N isT，NR，U2，D2，V2The method comprises the following steps: the number of antenna ports of U2 measured in step S203, the number of receiving antennas of U2, unitary matrix of order, NT×NRRank diagonal matrix (diagonal elements in descending order from top to bottom), NR×NRA unitary matrix of order. Wherein V2 HRepresents V2The conjugate transpose of (c). The s-th left eigenvector of the second channel matrix is U2Is denoted by u2,s. The s-th eigenvalue of the second channel matrix is D2Is denoted by d2,s。u2,sOn a target vector space FCan be represented as where F is a unitary matrix of order and the columns of F represent NTA set of orthonormal bases of dimensional space, a2,sIs NTX 1 order vector, representing u2,sProjection onto F. The second information is used for feeding back S1Group coefficient, wherein S is 1 to S1Is a2,sThe definition of the ith element of (a) is the same as that in sub-embodiment 1 of embodiment 1.
As a sub-embodiment of sub-embodiment 2 of embodiment 1, the second information comprises a plurality of signature sequences, the Q2 signature sequences being used to determine Q2 coefficients of the M coefficient groups. Each of the characteristic sequences is determined by a corresponding coefficient and a reference sequence. C denotes the reference sequence, and the characteristic sequence corresponding to the p-th coefficient in the S-th coefficient group is shown in the specification, wherein S is 1 to S1，p＝1～P(1,s)。
As a sub-embodiment of sub-embodiment 2 of embodiment 1, the second information is used for feeding back normalized S1A sum of coefficients, where S is 2 to S1. Where the first coefficient in the first coefficient set is always 1 and therefore no feedback is used.
As a sub-embodiment of sub-embodiment 2 of embodiment 1, F is NTDFT (Digital fourier transform) matrix of order. As a sub-embodiment of sub-embodiment 2 of embodiment 1, F is NT_1DFT matrix of order and NT_2Kronecker product of DFT matrix of order, where N isT_1×NT_2＝NT。
As a sub-embodiment of sub-embodiment 2 of embodiment 1, the reference sequence is a Zadoff-Chu sequence.
As a sub-embodiment of sub-embodiment 2 of embodiment 1, the reference sequence is a pseudo-random sequence.
As a sub-embodiment of sub-embodiment 2 of embodiment 1, the base station N1 and UE U2 share the reference sequence.
As a sub-embodiment of sub-embodiment 2 of embodiment 1, the second radio signal further includes a reference signal, and the reference signal is used to determine a channel response on a time-frequency resource occupied by the second radio signal. As an embodiment, a channel response on time-frequency resources occupied by the second radio signal is used for determining a reception matrix, which is used for receiving the signature sequence.
As sub-embodiment 3 of embodiment 1, the first information and the third information together define S1Group vector, where S is 1 to S1And F (i) denotes the ith column of the matrix F, as defined in sub-embodiment 1 of embodiment 1. The matrix F is a unitary matrix of order, the column of F representing NTA set of orthonormal bases of dimensional space. The second information determines S1Group coefficient, wherein S is 1 to S1. Said S1Group vector sum S1The group coefficients are in a one-to-one correspondence. Said S1Group vector and said S1Group coefficient co-determination S1And merging the vectors. The s-th said combined vector is equal to
Wherein S is 1 to S1。
As a sub-embodiment 4 of embodiment 1, the first channel matrix is a downlink channel covariance matrix, where e (x) represents a mean value of x, NTAnd NRThe method comprises the following steps: the number of antenna ports measured by U2 in step S201, and the number of receiving antennas of U2. The eigenvalue decomposition of the first channel matrix is represented as, where U1And D1The method comprises the following steps: unitary matrix of order NT×NTThe order diagonal matrix (diagonal elements in descending order from top to bottom). Wherein U is1 HRepresents U1The conjugate transpose of (c). The s-th eigenvector of the first channel matrix is U1Is denoted by u1,s. The s-th eigenvalue of the first channel matrix is D1Is denoted by d1,s. With S1Number of significant eigenvalues representing said first channel matrix, i.e.
Wherein 0<η<1 is a predefined threshold. u. of1,sThe projection onto an object vector space F can be represented as where F is a unitary matrix of order and the columns of F represent NTA set of orthonormal bases of dimensional space, a1,sIs NTX 1 order vector, representing u1,sProjection onto F. Denoting a by the set of subscripts1,sA sort mode of the medium elements, so that any m is sorted<n，1≤m≤NT，1≤n≤NTThe following conditions are satisfied
Wherein is represented by a1,sThe ith element of (a) represents the modulus of a. By P(1,s)Denotes a1,sNumber of middle important elements, i.e.
Wherein 0<λ<1 is a predefined threshold. In this sub-embodiment, M equals S1The third information is used for feedback, and the first information is used for feeding back S1Group subscripts, wherein S is 1 to S1。
As a sub-embodiment of sub-embodiment 4 of embodiment 1, F is NTDFT matrix of order. As a sub-embodiment of sub-embodiment 4 of embodiment 1, F is NT_1DFT matrix of order and NT_2Kronecker product of DFT matrix of order, where N isT_1×NT_2＝NT。
As a sub-embodiment of sub-embodiment 4 of embodiment 1, U2 further sends a first parameter in the first time window, wherein the first parameter is equal to S1。
As a sub-embodiment 5 of embodiment 1, the second channel matrix is a downlink channel covariance matrix, where e (x) represents a mean of x, NTAnd NRThe method comprises the following steps: the number of antenna ports measured by U2 in step S203, the number of receiving antennas of U2. The eigenvalue decomposition of the second channel matrix is represented as, where U2And D2The method comprises the following steps: unitary matrix of order NT×NTThe order diagonal matrix (diagonal elements in descending order from top to bottom). Wherein U is2 HRepresents U2The conjugate transpose of (c). The s-th eigenvector of the second channel matrix is U2Is denoted by u2,s. The s-th eigenvalue of the second channel matrix is D2Is denoted by d2,s。u2,sThe projection onto an object vector space can be represented as where F is a unitary matrix of order and the columns of F represent NTDimensional spaceA set of orthonormal bases of2,sIs NTX 1 order vector, representing u2,sProjection onto F. The second information is used for feeding back S1Group coefficient, wherein S is 1 to S1The definition of (a) is the same as in sub-embodiment 4 of embodiment 1.
As a sub-embodiment of sub-embodiment 5 of embodiment 1, the second information comprises a feature sequence, the Q2 feature sequences being used to determine Q2 coefficients in the M coefficient groups. Each of the characteristic sequences is determined by a corresponding coefficient and a reference sequence. C denotes the reference sequence, and the characteristic sequence corresponding to the p-th coefficient in the S-th coefficient group is shown in the specification, wherein S is 1 to S1，p＝1～P(1,s)。
As a sub-embodiment of sub-embodiment 5 of embodiment 1, the second information is used for feeding back normalized S1A sum of coefficients, where S is 2 to S1. Where the first coefficient in the first coefficient set is always 1 and therefore no feedback is used.
As a sub-embodiment of sub-embodiment 5 of embodiment 1, F is NTDFT matrix of order. As a sub-embodiment of sub-embodiment 5 of embodiment 1, F is NT_1DFT matrix of order and NT_2Kronecker product of DFT matrix of order, where N isT_1×NT_2＝NT。
As a sub-embodiment of sub-embodiment 5 of embodiment 1, the reference sequence is a Zadoff-Chu sequence.
As a sub-embodiment of sub-embodiment 5 of embodiment 1, the reference sequence is a pseudo-random sequence.
As a sub-embodiment of sub-embodiment 5 of embodiment 1, the base station N1 and UE U2 share the reference sequence.
As a sub-embodiment of sub-embodiment 5 of embodiment 1, the second radio signal further includes a reference signal, and the reference signal is used to determine a channel response on a time-frequency resource occupied by the second radio signal. As an embodiment, a channel response on time-frequency resources occupied by the second radio signal is used for determining a reception matrix, which is used for receiving the signature sequence.
As sub-embodiment 6 of embodiment 1, the first frequency domain resource is a system bandwidth and the second frequency domain resource is a portion of the system bandwidth.
As sub-embodiment 7 of embodiment 1, the first frequency domain resource and the second frequency domain resource are the same.
As a sub-embodiment 8 of embodiment 1, the first frequency domain resources and the second frequency domain resources partially overlap.
As sub-embodiment 9 of embodiment 1, the first signaling and the second signaling are physical layer signaling.
As sub-embodiment 10 of embodiment 1, the first signaling is higher layer signaling and the second signaling is physical layer signaling.
As a sub-embodiment 11 of embodiment 1, the step in block F1 occurs, the step in block F3 does not occur, and the second frequency-domain resource is the first frequency-domain resource.
As sub-embodiment 12 of embodiment 1, the step in block F1 does not occur, the step in block F3 occurs, the first frequency-domain resource is a system bandwidth, and the second frequency-domain resource is a portion of the first frequency-domain resource.
Example 2
Example 2 illustrates a schematic diagram of a first time window, as shown in fig. 2.
In embodiment 2, the first time window comprises Q consecutive subframes, and the corresponding subframe index is { n, n +1, …, n + Q-1 }.
The first parameter is sent in the first subframe in the first time window, subframe n.
As sub-embodiment 1 of embodiment 2, the UE reports the first parameter only once in the first time window.
As sub-embodiment 2 of embodiment 2, the first information is sent in sub-frame n + q1 in the first time window.
As sub-embodiment 3 of embodiment 2, the first information and the third information are transmitted in sub-frame n + q1 in the first time window.
As sub-embodiment 4 of embodiment 2, the second time window comprises a positive integer number of consecutive sub-frames, the second time window being located within the first time window.
Example 3
Embodiment 3 is a block diagram of a processing apparatus used in a UE, as shown in fig. 3. In fig. 3, the UE apparatus 200 mainly includes a first processing module 201, a second processing module 202 and a first receiving module 203.
The first processing module 201 is configured to transmit a first wireless signal in a first time window; the second processing module 202 is configured to send a second wireless signal in a second time window; the first receiving module 203 is configured to receive a third wireless signal.
In embodiment 3, the first wireless signal includes first information, and the second wireless signal includes second information. The first information and the second information are used to determine M merge vectors. The first information is used to determine M vector groups and the second information is used to determine M coefficient groups. The M vector groups and the M coefficient groups are in one-to-one correspondence. The merge vector is generated from the set of vectors and the corresponding set of coefficients. The vector group comprises one or more vectors, and the coefficient group comprises one or more scalars. M is a positive integer greater than 1.
As sub-embodiment 1 of embodiment 3, the first information indicates Q3 vectors of the M vector groups, the first wireless signal further including third information used to determine locations of the Q3 vectors in the M vector groups.
As sub-embodiment 2 of embodiment 3, the second information indicates Q2 coefficients among the M coefficient groups. The second wireless signal includes Q2 signature sequences, the Q2 signature sequences being used to determine the Q2 coefficients, respectively.
As sub-embodiment 3 of embodiment 3, the second radio signal further includes a reference signal, and the reference signal is used to determine a channel response on a time-frequency resource occupied by the second radio signal. The channel response on the time-frequency resources occupied by the second radio signal is used to determine a reception matrix used to combine the signature sequences received on the plurality of antennas of base station N1.
As sub-embodiment 4 of embodiment 3, the first wireless signal further includes a first parameter, the first parameter being equal to M.
Example 4
Embodiment 4 is a block diagram of a processing apparatus used in a base station, as shown in fig. 4. In fig. 4, the base station apparatus 300 is composed of a third processing module 301, a fourth processing module 302 and a first transmitting module 303.
The third processing module 301 is configured to receive a first wireless signal in a first time window; the fourth processing module 302 is configured to receive a second wireless signal in a second time window; the first sending module 303 is configured to send a third wireless signal.
In embodiment 4, the first wireless signal includes first information, and the second wireless signal includes second information. The first information and the second information are used to determine M merge vectors. The first information is used to determine M vector groups and the second information is used to determine M coefficient groups. The M vector groups and the M coefficient groups are in one-to-one correspondence. The merge vector is generated from the set of vectors and the corresponding set of coefficients. The vector group comprises one or more vectors, and the coefficient group comprises one or more scalars. M is a positive integer greater than 1.
As sub-embodiment 1 of embodiment 4, the first information is codebook-based CSI, and the second information is non-quantized CSI.
It will be understood by those skilled in the art that all or part of the steps of the above methods may be implemented by instructing relevant hardware through a program, and the program may be stored in a computer readable storage medium, such as a read-only memory, a hard disk or an optical disk. Alternatively, all or part of the steps of the above embodiments may be implemented by using one or more integrated circuits. Accordingly, the module units in the above embodiments may be implemented in a hardware form, or may be implemented in a form of software functional modules, and the present application is not limited to any specific form of combination of software and hardware. The UE in the invention comprises wireless communication equipment such as but not limited to a mobile phone, a tablet computer, a notebook computer, a network card, an NB-IOT terminal, an eMTC terminal and the like. The base station or system device in the present invention includes but is not limited to a macro cell base station, a micro cell base station, a home base station, a relay base station, and other wireless communication devices.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims (14)

1. A method in a UE for downlink multi-antenna transmission, comprising the steps of:
-step a. transmitting a first wireless signal in a first time window;
-step b. transmitting a second radio signal in a second time window;
wherein the first wireless signal comprises first information and the second wireless signal comprises second information; the first information and the second information are used to determine M merge vectors; the first information is used to determine M sets of vectors and the second information is used to determine M sets of coefficients; the M vector groups and the M coefficient groups are in one-to-one correspondence; the merge vector is generated from the set of vectors and the corresponding set of coefficients; the vector group comprises one or more vectors, and the coefficient group comprises one or more scalars; m is a positive integer greater than or equal to 1.
2. The method as claimed in claim 1, wherein the step a further comprises the steps of:
-step A0. receiving the first reference signal, determining a first channel matrix;
wherein the first information is determined by the first channel matrix, any one vector in the M vector groups belongs to a target vector space, and the target vector space includes a plurality of vectors.
3. The method as claimed in claim 1, wherein the step B further comprises the steps of:
-step B0. receiving the second reference signal, determining a second channel matrix;
wherein the second channel matrix is used to determine the second information, the scalar in the coefficient set being any complex number; the second information indicates Q2 coefficients in the M coefficient groups; the second wireless signal includes Q2 signature sequences, the Q2 signature sequences being used to determine the Q2 coefficients, respectively.
4. The method in a UE for downlink multi-antenna transmission according to any of claims 1-3, wherein said first information indicates Q3 vectors of said M vector groups, said first radio signal further comprising third information used for determining the position of said Q3 vectors in said M vector groups.
5. Method in a UE for downlink multi-antenna transmission according to any of claims 1 to 3, wherein said step a further comprises the steps of:
-a step a1. receiving a first signaling;
wherein the first signaling is used to determine time-frequency resources occupied by the first wireless signal.
6. Method in a UE for downlink multi-antenna transmission according to any of claims 1 to 3, wherein said step B further comprises the steps of:
-step b1. receiving a second signaling;
wherein the second signaling is used to determine time-frequency resources occupied by the second wireless signal.
7. The method as claimed in any of claims 1 to 3, further comprising the steps of:
-step c. receiving a third wireless signal;
wherein the M combining vectors are used to generate the third wireless signal.
8. A method in a base station used for downlink multi-antenna transmission, comprising the steps of:
-a step a. receiving a first wireless signal in a first time window;
-step b. receiving a second radio signal in a second time window;
wherein the first wireless signal comprises first information and the second wireless signal comprises second information; the first information and the second information are used to determine M merge vectors; the first information is used to determine M sets of vectors and the second information is used to determine M sets of coefficients; the M vector groups and the M coefficient groups are in one-to-one correspondence; the merge vector is generated from the set of vectors and the corresponding set of coefficients; the vector group comprises one or more vectors, and the coefficient group comprises one or more scalars; m is a positive integer greater than or equal to 1.
9. The method as claimed in claim 8, wherein the step a further comprises the steps of:
-step A0. transmitting a first reference signal, the first reference signal being used for determining a first channel matrix;
wherein the first information is determined by the first channel matrix, any one vector in the M vector groups belongs to a target vector space, and the target vector space includes a plurality of vectors.
10. The method as claimed in claim 8, wherein the step B further comprises the steps of:
-step B0. transmitting a second reference signal, the second reference signal being used for determining a second channel matrix;
wherein the second channel matrix is used to determine the second information, the scalar in the coefficient set being any complex number; the second information indicates Q2 coefficients in the M coefficient groups; the second wireless signal includes Q2 signature sequences, the Q2 signature sequences being used to determine the Q2 coefficients, respectively.
11. The method in a base station for downlink multi-antenna transmission according to any of claims 8 to 10, wherein said first information indicates Q3 vectors of said M vector groups, said first radio signal further comprising third information used for determining the positions of said Q3 vectors in said M vector groups.
12. Method in a base station used for downlink multi-antenna transmission according to any of claims 8 to 10, characterized in that it further comprises the steps of:
-step c. transmitting a third radio signal;
wherein the M combining vectors are used to generate the third wireless signal.
13. User equipment used for downlink multi-antenna transmission, comprising the following modules:
a first processing module: for transmitting a first wireless signal in a first time window;
a second processing module: for transmitting a second wireless signal in a second time window;
a first receiving module: for receiving a third wireless signal;
wherein the first wireless signal comprises first information and the second wireless signal comprises second information; the first information and the second information are used to determine M merge vectors; the first information is used to determine M sets of vectors and the second information is used to determine M sets of coefficients; the M vector groups and the M coefficient groups are in one-to-one correspondence; the merge vector is generated from the set of vectors and the corresponding set of coefficients; the vector group comprises one or more vectors, and the coefficient group comprises one or more scalars; any one vector in the M vector groups belongs to a target vector space, and the target vector space comprises a plurality of vectors; the M combining vectors are used to generate the third wireless signal; m is a positive integer greater than or equal to 1.
14. A base station device used for downlink multi-antenna transmission, comprising the following modules:
a third processing module: for receiving a first wireless signal in a first time window;
a fourth processing module: for receiving a second wireless signal in a second time window;
a first sending module: for transmitting a third wireless signal;
wherein the first wireless signal comprises first information and the second wireless signal comprises second information; the first information and the second information are used to determine M merge vectors; the first information is used to determine M sets of vectors and the second information is used to determine M sets of coefficients; the M vector groups and the M coefficient groups are in one-to-one correspondence; the merge vector is generated from the set of vectors and the corresponding set of coefficients; the vector group comprises one or more vectors, and the coefficient group comprises one or more scalars; the M combining vectors are used to generate the third wireless signal; m is a positive integer greater than or equal to 1.
CN201610454969.5A 2016-06-22 2016-06-22 Method and device in wireless communication Active CN107529691B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201610454969.5A CN107529691B (en) 2016-06-22 2016-06-22 Method and device in wireless communication
CN202010433923.1A CN111585627B (en) 2016-06-22 2016-06-22 Method and device in wireless communication

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610454969.5A CN107529691B (en) 2016-06-22 2016-06-22 Method and device in wireless communication

Related Child Applications (1)

Application Number Title Priority Date Filing Date
CN202010433923.1A Division CN111585627B (en) 2016-06-22 2016-06-22 Method and device in wireless communication

Publications (2)

Publication Number Publication Date
CN107529691A CN107529691A (en) 2018-01-02
CN107529691B true CN107529691B (en) 2020-11-06

Family

ID=60765436

Family Applications (2)

Application Number Title Priority Date Filing Date
CN201610454969.5A Active CN107529691B (en) 2016-06-22 2016-06-22 Method and device in wireless communication
CN202010433923.1A Active CN111585627B (en) 2016-06-22 2016-06-22 Method and device in wireless communication

Family Applications After (1)

Application Number Title Priority Date Filing Date
CN202010433923.1A Active CN111585627B (en) 2016-06-22 2016-06-22 Method and device in wireless communication

Country Status (1)

Country Link
CN (2) CN107529691B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110855336B (en) 2018-08-20 2022-04-22 华为技术有限公司 Method for indicating and determining precoding vector and communication device
WO2020207254A1 (en) * 2019-04-09 2020-10-15 华为技术有限公司 Communication method and apparatus
WO2020258043A1 (en) * 2019-06-25 2020-12-30 Oppo广东移动通信有限公司 Data processing method, apparatus and device, and storage medium
CN115694758A (en) * 2021-07-31 2023-02-03 华为技术有限公司 Channel state information feedback method and communication device

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103178888A (en) * 2011-12-23 2013-06-26 华为技术有限公司 Method and device for sending feedback of channel state information
CN105577587A (en) * 2016-02-03 2016-05-11 清华大学 MIMO system channel estimation method and device in 60GHz indoor scene

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101655924B1 (en) * 2012-03-07 2016-09-08 엘지전자 주식회사 Method for performing hierarchical beamforming in wireless access system and device therefor
US9838899B2 (en) * 2013-02-08 2017-12-05 Lg Electronics Inc. Method and apparatus for reporting downlink channel state
CN104955111B (en) * 2014-03-31 2019-03-22 上海朗帛通信技术有限公司 Transmission method and device in a kind of unlicensed band
CN105227272B (en) * 2014-06-28 2019-08-09 上海朗帛通信技术有限公司 A kind of large scale MIMO transmission method and device
CN105530075B (en) * 2014-10-04 2019-05-17 上海朗帛通信技术有限公司 A kind of CSI feedback method and apparatus in FD-MIMO communication

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103178888A (en) * 2011-12-23 2013-06-26 华为技术有限公司 Method and device for sending feedback of channel state information
CN105577587A (en) * 2016-02-03 2016-05-11 清华大学 MIMO system channel estimation method and device in 60GHz indoor scene

Also Published As

Publication number Publication date
CN107529691A (en) 2018-01-02
CN111585627B (en) 2024-10-18
CN111585627A (en) 2020-08-25

Similar Documents

Publication Publication Date Title
TWI740119B (en) Methods and mobile devices for performing channel estimation of a wireless communication channel
CN111342873B (en) Channel measurement method and communication device
CN109075904B (en) Precoding matrix indication feedback method and device
JP6733938B2 (en) Method and apparatus for transmitting precoding information and feeding back precoding information
WO2015161795A1 (en) Method, system and device for measuring channel state information
CN103475397B (en) A kind of method, communication station and the movement station of three-dimensional wave beam forming
EP2837103B1 (en) Three-dimensional beamforming in a mobile communications network
JP2019537874A (en) Precoding matrix indicating method, apparatus, and system
CN103563268A (en) Method of feeding back mu-cqi in a communication system, transmission point device, and user equipment
CN111342913B (en) Channel measurement method and communication device
CN107529691B (en) Method and device in wireless communication
WO2016141778A1 (en) Channel state information acquisition method, and channel state information feedback method and apparatus
CN107371250A (en) The sending method and device of instruction, the method for reseptance and device of instruction
WO2014039056A1 (en) Codebook construction using csi feedback for evolving deployment scenarios
WO2017152750A1 (en) Method and device for transmitting feedback information
CN107294880B (en) Method and apparatus for determining channel information
CN112312464A (en) Method and communication device for reporting channel state information
CN112054824B (en) Channel measurement method and communication device
WO2016119201A1 (en) Method and apparatus for facilitating channel state information obtaining
CN112119617B (en) Eigenvalue based channel hardening and explicit feedback
EP3629504A1 (en) Method for transmitting channel state information, access network device and terminal device
CN104253639A (en) Channel quality indicator acquisition method and device
EP3567771B1 (en) Method for transmitting channel state information, access network device, and terminal device
CN108809384B (en) Method and device for wireless communication in base station and user equipment
CN107404345B (en) Method and device in wireless communication

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant