WO2014033515A1 - 预编码矩阵构造和索引值反馈方法及相关通信设备 - Google Patents
预编码矩阵构造和索引值反馈方法及相关通信设备 Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
- H04B7/046—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting taking physical layer constraints into account
- H04B7/0473—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting taking physical layer constraints into account taking constraints in layer or codeword to antenna mapping into account
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
- H04B7/046—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting taking physical layer constraints into account
- H04B7/0469—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting taking physical layer constraints into account taking special antenna structures, e.g. cross polarized antennas into account
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0404—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas the mobile station comprising multiple antennas, e.g. to provide uplink diversity
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0417—Feedback systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
- H04B7/0478—Special codebook structures directed to feedback optimisation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
- H04B7/0478—Special codebook structures directed to feedback optimisation
- H04B7/0479—Special codebook structures directed to feedback optimisation for multi-dimensional arrays, e.g. horizontal or vertical pre-distortion matrix index [PMI]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
- H04B7/0482—Adaptive codebooks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—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
- H04B7/0634—Antenna weights or vector/matrix coefficients
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—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
- H04B7/0639—Using selective indices, e.g. of a codebook, e.g. pre-distortion matrix index [PMI] or for beam selection
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/0202—Channel estimation
- H04L25/0204—Channel estimation of multiple channels
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
- H04L25/03891—Spatial equalizers
- H04L25/03898—Spatial equalizers codebook-based design
- H04L25/0391—Spatial equalizers codebook-based design construction details of matrices
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
- H04L25/03891—Spatial equalizers
- H04L25/03949—Spatial equalizers equalizer selection or adaptation based on feedback
Definitions
- the present invention relates to the field of wireless communication technologies, and more particularly to a method for constructing a three-dimensional multiple-input multiple-output (MO) precoding matrix, a method for feeding back three-dimensional ⁇ precoding matrix index values, and related communication devices.
- MO three-dimensional multiple-input multiple-output
- Modern wireless mobile communication systems present two distinctive features.
- One is broadband high speed.
- the fourth generation wireless mobile communication system has a bandwidth of up to 100 MHz and a downlink rate of up to 1 Gbps.
- the second is mobile internet, which promotes mobile Internet access and mobile video on demand. , online navigation and other emerging businesses.
- These two characteristics put forward high requirements for wireless mobile communication technologies, including: ultra-high-rate wireless transmission, inter-region interference suppression, reliable transmission signals in motion, distributed/centralized signal processing, and so on.
- 4G fourth generation
- 5G fifth generation
- the number of users of mobile communication systems is about 5.5 billion. It is estimated that the number will rise to 7.3 billion by 2015. Among them, the growth of the number of smartphone users is particularly significant. In 2011, there were approximately 428 million smartphone terminals in the world, and by 2015, the number will double to 1 billion.
- the popularity of powerful smartphones has driven the rapid growth of wireless mobile communication rates. In recent years, the global wireless communication rate has steadily increased by an average of 2 times per year. According to this trend, after 10 years, the wireless mobile communication system must have a rate increase of more than 1000 times than the current system to meet the basic needs of future users in terms of communication speed.
- the rate mainly refers to data services (currently accounting for about 90% of the total traffic), such as downloading of smart phone software, real-time navigation, synchronization and sharing of personal data clouds, and the like.
- the voice business is subject to the objective conditions of relatively slow population growth, and there will be no significant growth in the next 10 years. '
- 3D MIMO technology is a new method to improve the efficiency of spectrum utilization.
- the conventional transmitting antenna and receiving antenna generally adopt a horizontal linear array placement method, so that only the horizontal angle can be resolved, thereby generating a horizontal beam and performing multi-user MIMO operation.
- a grid surface array method to arrange the transmitting antennas and the receiving antennas to simultaneously generate horizontal and vertical beams so that the buildings are located on different floors.
- the user can communicate with the base station at the same time.
- There are two main research topics in 3D MIMO technology On the one hand, the modeling of three-dimensional channels requires the study of theoretical models and fitting with the results of actual tests.
- Non-Private Ij Literature 1 Vincent Lau, Youjian Liu, and Tai-Ann Chen, On the Design of MEMO Block-Fading Channels with Feedback-Link Capacity Constraint, IEEE Transactions on Communications, vol. 52, no. 1, pp. 62-70, Jan. 2004
- Non-Patent Document 2 3GPP TS 36.211 V10.1.0 (2011-03) ' Summary of the Invention
- This application focuses on the above three-dimensional MIMO technology, with particular attention to the following two aspects: (1) how to design an effective three-dimensional precoding codebook for the precoding matrix W; and (2) how to implement feedback of low overhead channel state information .
- Non-Patent Document 1 proposes a theoretical scheme based on the Lloyd algorithm (also known as Voronoi iteration or relaxation) to find the optimal codebook.
- the method proposed in Non-Patent Document 1 can mathematically give an optimal codebook design, the following reasons have not been adopted in practical systems:
- the codebook given by the Lloyd algorithm does not have the expected attributes (eg, nested structure, unit specification weight, etc.), and the actual system implementation complexity is high;
- Non-Patent Document 2 specifies in Section 6.3.4.23: For a one-dimensional cross-polarized linear antenna array as shown in Fig. 1, a suboptimal codebook design is employed. As an example, Tables 1 and 2 below list the precoding codebooks used when the MIMO channel rank is 1 and the rank is 2. Where ⁇ and ⁇ are the index numbers of the double code words W1 and W2, respectively.
- the beamforming direction of each group of antennas with the same polarization component direction is characterized by a single "Difference Fourier Transform (DFT) vector, and the phase weighting factor vector is used to characterize how to different groups from the polarization component direction.
- the signals of the antenna are coherently combined.
- the specific formulas of the phase weighting factor and the DFT vector are as follows:
- ⁇ e iml2 (phase weighting factor)
- v m [le J2m " /32 4 32 e J 6m '/ 32 (DFT vector)
- Non-Patent Document 2 actually proposes a dual precoder (gp, DFT vector representation precoding) corresponding to the double code words W1 and W2 for the case of the one-dimensional antenna array. And the method of precoding the phase weighting factor vector representation to construct the precoding matrix. Since the one-dimensional antenna array can only distinguish the direction angle and cannot distinguish the elevation angle, and considers one spatial dimension less, the solution in Non-Patent Document 2 is only applicable to a specific propagation environment that can be modeled as a two-dimensional channel model, and is not suitable for Standardly modeled as a general propagation environment for a three-dimensional channel model. For a two-dimensional antenna array using both the direction angle and the elevation angle as shown in Fig. 2, this means that the scheme in Non-Patent Document 2 is only applicable to the radius of the cell so that most users have a minimum size that can be ignored. The special case of the elevation angle.
- gp DFT vector representation precoding
- a method for constructing a three-dimensional MIMO precoding matrix comprising: constructing a first component matrix having a block diagonal matrix form, the diagonal submatrix representation pair of the first component matrix Three-dimensional beamforming of a two-dimensional antenna array; constructing a second component matrix, the second component matrix comprising a phase weighting factor as a matrix element, the phase weighting factor characterizing a phase combination of signals from the two-dimensional antenna array; The first component matrix and the second component matrix are constructed to construct a three-dimensional MIMO precoding matrix.
- a method for feeding back a three-dimensional MIMO precoding matrix index value including: estimating a MIMO channel; and selecting and feeding back a first index value according to a channel estimation result, a second index value and a third index value, so that a precoding matrix in the three-dimensional MIMO precoding codebook can be constructed according to the foregoing method, wherein the first index value indicates a first DFT vector in the first DFT vector set, The second index value indicates a second DFT vector in the second set of DFT vectors, the third index value indicating a second component matrix in the second component matrix set.
- a communication device adapted to construct a three-dimensional MIMO precoding matrix
- the communication device comprising: a first component matrix construction unit for constructing a first component having a block diagonal matrix form a matrix, a diagonal submatrix of the first component matrix characterizing a three-dimensional wave shape shaping of a two-dimensional antenna array; a second component matrix construction unit, _ for fabricating a second component matrix, the second component matrix including a phase a weighting factor as a matrix element, the phase weighting factor characterizing coherent combining of signals from the two-dimensional antenna array; and a precoding matrix construction unit for constructing three-dimensional MIMO according to the constructed first component matrix and second component matrix Precoding matrix.
- a communication device which is adapted to feed back a three-dimensional MIMO precoding matrix index value, the communication device comprising: a channel estimation unit for estimating a MIMO channel; and a feedback unit, configured to: Selecting and feeding back the first index value, the second index value, and the third index value according to the channel estimation result, so that the communication device according to claim 9 can construct a precoding matrix in the three-dimensional MIMO precoding codebook, where The first index value indicates a first DFT vector in the first DFT vector set, the second index value indicates a second DFT vector in the second DFT vector set, and the third cable I value indicates a second component matrix The second component matrix in the set.
- the precoding matrix is constructed from two component matrices with low implementation complexity
- FIG. 1 is a schematic diagram of a one-dimensional cross-polarized linear antenna array capable of only distinguishing the direction angle and not distinguishing the elevation angle
- FIG. 2 is a schematic diagram of a two-dimensional cross-polarized linear antenna array capable of distinguishing both the direction angle and the elevation angle;
- FIG. 3 is a diagram showing a method for constructing a three-dimensional MIMO precoding matrix according to the present invention
- FIG. 4 is a schematic diagram showing an example matrix of a first component matrix constructed according to the method shown in FIG.
- FIG. 5 is a diagram showing a method for feeding back a three-dimensional MIMO precoding matrix index value according to the present invention
- FIG. 6 is a schematic structural block diagram showing a communication device suitable for constructing a three-dimensional MIMO precoding matrix according to the present invention
- FIG. 7 is a diagram showing communication suitable for feeding back a three-dimensional MIMO precoding matrix index value according to the present invention.
- the method begins in step S310.
- a first component matrix WUD in the form of a block diagonal matrix is constructed, the diagonal submatrix of the first component matrix being used to characterize the three dimensional beamforming of the two dimensional antenna array.
- the first component matrix W UD may have the form shown in FIG. 4 , wherein the diagonal sub-matrices f 3D , re ( ⁇ nf 3D , blue respectively correspond to different polarization components of the antenna array Direction.
- f 3D can be expressed as the Kronecker product of two discrete Fourier transform (DFT) vectors.
- DFT discrete Fourier transform
- the first DFT vector and the second DFT vector are particularly suitable for horizontal and vertical antenna arrays applied to a two-dimensional antenna array, respectively, and are denoted as f. H and ⁇ , respectively.
- f 3D has the following mathematical form
- a second component matrix W2 is constructed, the second component matrix containing a phase weighting factor as a matrix element. Consistent with the scheme in Non-Patent Document 2, the phase weighting factor characterizes the coherent combining of signals from a two-dimensional antenna array.
- step S330 a three-dimensional MO precoding matrix is constructed using the first component matrix constructed in step S310 and the second component matrix constructed in step S320.
- the method for constructing a three-dimensional ⁇ precoding matrix according to the present invention requires only three index values, 'and 1 2' to construct a precoding matrix.
- the signaling overhead required to feed back the index value is small.
- Figure 5 illustrates a method for feeding back three-dimensional MIMO precoding matrix index values in accordance with the present invention.
- the method begins in step S510.
- the MIMO channel is estimated.
- step S520 is performed to select and feed back the first index value, the second index value, and the third index value according to the channel estimation result in step S510, so that the three-dimensional MIMO precoding matrix can be constructed according to the method proposed by the present invention, where
- the first index value indicates a first DFT vector in a first DFT vector set
- the second index value indicates a second DFT vector in a second DFT vector set
- the third index value indicates a second component matrix set The second component matrix in .
- the present invention provides a communication device 600 suitable for constructing a three-dimensional MIMO precoding matrix.
- Fig. 6 shows a schematic block diagram of the communication device 600.
- the communication device 600 includes: a first component matrix construction unit 610, configured to construct a first component matrix having a block diagonal matrix form, and a diagonal submatrix of the first component matrix is characterized by a two-dimensional antenna array Three-dimensional beamforming; a second component matrix construction unit 620, configured to construct a second component matrix, the second component matrix including a phase weighting factor as a matrix element, the phase weighting factor characterizing a signal from a two-dimensional antenna array And a pre-coding matrix construction unit 630, configured to construct a three-dimensional MIMO precoding matrix according to the constructed first component matrix and second component matrix.
- the communication device can be a transmission point and/or a user equipment. Each transmission point consists of all or part of the transmit ports of one or more base stations. In a particular case, one transmission point corresponds to
- the present invention also provides a communication device 700 adapted to feed back a three-dimensional MIMO precoding matrix index value.
- FIG. 7 shows a schematic structural block diagram of the communication device 700.
- the communication device 700 includes: a channel estimation unit 710 for estimating a MIMO channel; and a feedback unit 720, configured to select and according to the channel estimation result.
- the communication device can be a user device.
- a method for constructing a three-dimensional MIMO precoding matrix comprising: constructing a first component matrix having a block diagonal matrix form, the diagonal submatrix representation pair of the first component matrix Three-dimensional beamforming of a two-dimensional antenna array; constructing a second component matrix, the second component matrix comprising a phase weighting factor as a matrix element, the phase weighting factor characterizing coherent combining of signals from the two-dimensional antenna array; Constructing a first component matrix and a second component matrix to construct a three-dimensional MIMO precoding matrix.
- the diagonal submatrix of the first component matrix is a Kronecker product of the first DFT vector and the second DFT vector.
- the first DFT vector and the second DFT vector are respectively applied to horizontal and vertical antenna arrays of the two-dimensional antenna array.
- the set of first DFT vectors, the set of second DFT vectors, and the set of second component matrices define a three-dimensional MIMO precoding codebook.
- a method for feeding back a three-dimensional MIMO precoding matrix index value including: estimating a MIMO channel; and selecting and feeding back a first index value according to a channel estimation result, a second index value and a third index value, so that a precoding matrix in the three-dimensional MIMO precoding codebook can be constructed according to the foregoing method, wherein the first index value indicates a first DFT vector in the first DFT vector set, The second index value indicates a second DFT vector in the second set of DFT vectors, the third index value indicating a second component matrix in the second component matrix set.
- a communication device adapted to construct a three-dimensional MIMO precoding matrix
- the communication device comprising: a first component matrix construction unit for constructing a first component having a block diagonal matrix form a matrix, a diagonal submatrix of the first component matrix characterizing three-dimensional beamforming of a two-dimensional antenna array; a second component matrix construction unit ⁇ for constructing a second component matrix, the second component matrix including a phase weighting factor as a matrix An element, the phase weighting factor characterizing coherent combining of signals from the two-dimensional antenna array; and a precoding matrix construction unit for constructing three-dimensional MIMO according to the constructed first component matrix and second component matrix Precoding matrix.
- the communication device is a transmission point and/or a user equipment, and the transmission point may be a base station.
- a communication device which is adapted to feed back a three-dimensional MIMO precoding matrix index value, the communication device comprising: a channel estimation unit for estimating a MIMO channel; and a feedback unit, configured to: Selecting and feeding back the first index value, the second index value, and the third index value according to the channel estimation result, so that the communication device according to claim 9 can construct a precoding matrix in the three-dimensional MIMO precoding codebook, where The first index value indicates a first DFT vector in the first DFT vector set, the second index value indicates a second DFT vector in the second DFT vector set, and the third index value indicates the second component matrix set The second component matrix.
- the communication device is a user equipment.
- the technical solutions of the present invention are shown by way of example only, but the invention is not limited to the above steps and unit structures. Where possible, the steps and unit structure can be adjusted and traded as needed. Therefore, certain steps and units are not essential elements for carrying out the general inventive concept of the invention. Therefore, the technical features necessary for the present invention are limited only by the minimum requirements of the general inventive concept of the present invention, and are not limited by the above specific examples.
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JP2015529135A JP2015528669A (ja) | 2012-09-03 | 2013-08-07 | プレコーディングマトリクス構成方法、インデックス値フィードバック方法、および、それに関する通信装置 |
US14/425,238 US20150244438A1 (en) | 2012-09-03 | 2013-08-07 | Methods for constructing pre-coding matrix and feeding back index value and related communication devices |
EP13833257.2A EP2894802A4 (en) | 2012-09-03 | 2013-08-07 | METHODS OF CONSTRUCTING PRECODING AND INDEX VALUE DERIVING MATRIX AND ASSOCIATED COMMUNICATION DEVICES |
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CN201210320967.9A CN103684657A (zh) | 2012-09-03 | 2012-09-03 | 预编码矩阵构造和索引值反馈方法及相关通信设备 |
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WO2016183737A1 (en) * | 2015-05-15 | 2016-11-24 | Qualcomm Incorporated | Enhanced csi procedures for fd-mimo |
US11616541B1 (en) | 2021-11-29 | 2023-03-28 | Qualcomm Incorporated | Non-linear precoding for multi-user multiple-input multiple-output |
US20230170949A1 (en) * | 2021-11-29 | 2023-06-01 | Qualcomm Incorporated | Channel estimation and demodulation procedure for non-linear multi-user multiple-input multiple-output precoding |
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Also Published As
Publication number | Publication date |
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CN103684657A (zh) | 2014-03-26 |
EP2894802A1 (en) | 2015-07-15 |
EP2894802A4 (en) | 2016-05-11 |
JP2015528669A (ja) | 2015-09-28 |
US20150244438A1 (en) | 2015-08-27 |
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