WO2019222882A1 - Retour d'informations d'état de canal - Google Patents

Retour d'informations d'état de canal Download PDF

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Publication number
WO2019222882A1
WO2019222882A1 PCT/CN2018/087682 CN2018087682W WO2019222882A1 WO 2019222882 A1 WO2019222882 A1 WO 2019222882A1 CN 2018087682 W CN2018087682 W CN 2018087682W WO 2019222882 A1 WO2019222882 A1 WO 2019222882A1
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WO
WIPO (PCT)
Prior art keywords
transformation matrix
state information
single set
channel state
user equipment
Prior art date
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PCT/CN2018/087682
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English (en)
Inventor
Hao Liu
Keeth Saliya Jayasinghe LADDU
Rana Ahmed
Frederick Vook
William J. Hillery
Xiaomao Mao
Eugene Visotsky
Original Assignee
Nokia Shanghai Bell Co., Ltd.
Nokia Solutions And Networks Oy
Nokia Technologies Oy
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.)
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Publication date
Application filed by Nokia Shanghai Bell Co., Ltd., Nokia Solutions And Networks Oy, Nokia Technologies Oy filed Critical Nokia Shanghai Bell Co., Ltd.
Priority to PCT/CN2018/087682 priority Critical patent/WO2019222882A1/fr
Priority to CN201880093680.2A priority patent/CN112236961B/zh
Publication of WO2019222882A1 publication Critical patent/WO2019222882A1/fr

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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
    • H04B7/0626—Channel coefficients, e.g. channel state information [CSI]

Definitions

  • channel state information feedback may benefit from channel state information feedback. For example, it may be helpful to improve channel state information feedback using spatial compression.
  • MIMO multiple input multiple output
  • LTE Long Term Evolution
  • 5G Fifth Generation
  • NR New Radio
  • MIMO multiple input multiple output
  • MIMO is used to increase the overall bitrate through transmission of two or more different data streams on two or more different antennas -using the same resources in both frequency and time, separated only through use of different reference signals -to be received by two or more antennas.
  • NR the number of antennas and/or data streams will increase, thereby simultaneously increasing the importance of MIMO.
  • channel state information feedback and compression schemes are used. For example, time-domain, frequency-domain, and spatial-domain compression are used to compress signal transmission. This may allow multiple signals to be transmitted on multiple antennas using the same frequency and/or time resources.
  • an apparatus may include at least one memory including computer program code, and at least one processor.
  • the at least one memory and the computer program code may be configured, with the at least one processor, to cause the apparatus at least to determine a single set of a transformation matrix.
  • the single set of the transformation matrix may be used for different layers.
  • the at least one memory and the computer program code may also be configured, with the at least one processor, to cause the apparatus at least to construct a channel state information report comprising the single set of the transformation matrix.
  • the at least one memory and the computer program code may also be configured, with the at least one processor, to cause the apparatus at least to transmit the channel state information report comprising the single set of the transformation matrix to a network entity.
  • a method may include determining at a user equipment a single set of a transformation matrix.
  • the single set of the transformation matrix may be used for different layers.
  • the method may also include constructing at the user equipment a channel state information report comprising the single set of the transformation matrix.
  • the method may include transmitting the channel state information report comprising the single set of the transformation matrix from the user equipment to a network entity.
  • An apparatus may include means for determining a single set of a transformation matrix.
  • the single set of the transformation matrix may be used for different layers.
  • the apparatus may also include means for constructing a channel state information report comprising the single set of the transformation matrix.
  • the apparatus may include means for transmitting the channel state information report comprising the single set of the transformation matrix to a network entity.
  • a non-transitory computer-readable medium encoding instructions that, when executed in hardware, perform a process.
  • the process may include determining at a user equipment a single set of a transformation matrix.
  • the single set of the transformation matrix may be used for different layers.
  • the process may also include constructing at the user equipment a channel state information report comprising the single set of the transformation matrix.
  • the process may include transmitting the channel state information report comprising the single set of the transformation matrix from the user equipment to a network entity.
  • a computer program product may encode instructions for performing a process.
  • the process may include determining at a user equipment a single set of a transformation matrix.
  • the single set of the transformation matrix may be used for different layers.
  • the process may also include constructing at the user equipment a channel state information report comprising the single set of the transformation matrix.
  • the process may include transmitting the channel state information report comprising the single set of the transformation matrix from the user equipment to a network entity.
  • An apparatus may include circuitry for determining a single set of a transformation matrix.
  • the single set of the transformation matrix may be used for different layers.
  • the apparatus may also include circuitry for constructing a channel state information report comprising the single set of the transformation matrix.
  • the apparatus may include circuitry for transmitting the channel state information report comprising the single set of the transformation matrix from the user equipment to a network entity.
  • an apparatus may include at least one memory including computer program code, and at least one processor.
  • the at least one memory and the computer program code may be configured, with the at least one processor, to cause the apparatus at least to receive from a user equipment a single set of a transformation matrix.
  • the single set of the transformation matrix is used for different layers.
  • the at least one memory and the computer program code may also be configured, with the at least one processor, to cause the apparatus at least to construct channel state information based on the single set of the transformation matrix.
  • a method may include receiving at a network entity from a user equipment a single set of a transformation matrix.
  • the single set of the transformation matrix may be used for different layers.
  • the method may also include constructing at the network entity channel state information based on the single set of the transformation matrix.
  • An apparatus may include means for receiving from a user equipment a single set of a transformation matrix.
  • the single set of the transformation matrix may be used for different layers.
  • the apparatus may also include means for constructing channel state information based on the single set of the transformation matrix.
  • a non-transitory computer-readable medium encoding instructions that, when executed in hardware, perform a process.
  • the process may include receiving at a network entity from a user equipment a single set of a transformation matrix.
  • the single set of the transformation matrix may be used for different layers.
  • the process may also include constructing at the network entity channel state information based on the single set of the transformation matrix.
  • a computer program product may encode instructions for performing a process.
  • the process may include receiving at a network entity from a user equipment a single set of a transformation matrix.
  • the single set of the transformation matrix may be used for different layers.
  • the process may also include constructing at the network entity channel state information based on the single set of the transformation matrix.
  • An apparatus may include circuitry for receive from a user equipment a single set of a transformation matrix.
  • the single set of the transformation matrix may be used for different layers.
  • the apparatus may also include circuitry for constructing channel state information based on the single set of the transformation matrix.
  • Figure 1 illustrates an example of a table according to certain embodiments.
  • Figure 2 illustrates an example of a diagram according to certain embodiments.
  • Figure 3 illustrates an example of a table according to certain embodiments.
  • Figure 4 illustrates an example of a table according to an ABC scheme.
  • Figure 5 illustrates an example of a table according to certain embodiments.
  • Figure 6 illustrates an example of a diagram according to certain embodiments.
  • Figure 7 illustrates an example of a method according to certain embodiments.
  • Figure 8 illustrates an example of a method according to certain embodiments.
  • Figure 9 illustrates an example of a system according to certain embodiments.
  • PCA principal component analysis
  • PCA may be a statistical procedure that uses an orthogonal transformation to convert a set of data points into a set of uncorrelated linear variables called principal components.
  • the first principal component of the PCA may have the largest possible variance, while each succeeding component may in turn have the highest variance possible under the constraint that it is orthogonal to the preceding components.
  • PCA may utilize special channel compression techniques to improve channel state information accuracy with reduced feedback overhead.
  • PCA may be a statistical procedure that uses an orthogonal transformation Q to convert correlated variable of X into uncorrelated variables of ⁇ .
  • the rows of Q may be the principal component of X.
  • channel compression and feedback may be used.
  • M may be the number of antenna ports
  • N may be the number of subbands
  • RI may be the number of layers or the reported rank index
  • N c N x RI.
  • the channel matrix may be represented as follows: Singular value decomposition (SVD) or eigenvector decomposition (ED) may be performed for the above channel matrix X to acquire one or more components.
  • the one or more components may be, for example, principal components, singular vectors, or eigenvectors.
  • Covariance matrix of X and its eigenvector decomposition may be calculated using the following equation: where U may be formed by eigenvectors and ⁇ may be composed of eigenvalues along the main diagonal.
  • transformation matrix may include K principal components, which may be chosen from first K dominant eigenvectors of R x with the maximum K eigenvalues.
  • the transformed matrix ⁇ may be calculated using the following equation:
  • the user equipment may quantize and feedback one or more of the coefficients of transformation matrix and transformed matrix
  • Feedback of the one or more coefficients may mean transmittal of the coefficients from the user equipment to a network entity, such as 5G or NR NodeB (gNB) .
  • the feedback of the transformation matrix may mean that all the coefficients of all the components should be quantized and reported to the network entity.
  • Quantization and feedback may be divided into two parts, one for the index of strongest coefficient of one or more components, and the other for coefficients of all the components other than one or more strongest coefficients.
  • matrix may include M x K coefficients, which are common to different layers.
  • Matrix ⁇ may include K x N coefficients for each layer.
  • the total number of coefficients for feedback may be represented as follows: (K ⁇ M) + (K ⁇ N ⁇ RI) , assuming rank RI.
  • only a single set of transformation matrix may be used, instead of having to use multiple sets for different layers. Doing so may reduce the amount of network resources, thereby providing significant advantages to the network, as well as the user equipment itself. For example, using only a single set of transformation matrix may reduce the channel state information payload by K ⁇ M ⁇ (RI -1) coefficients.
  • Certain embodiments may provide for channel state information feedback being transmitted from a user equipment to a network entity, such as a 5G or NR nodeB (gNB) .
  • a network entity such as a 5G or NR nodeB (gNB) .
  • the user equipment constructs a channel state information report as part of the feedback being provided by the user equipment to the network entity. Constructing the channel state information report may include determining at least one of the transformation matrix or the transformed matrix
  • Some embodiments may also utilize a higher layer parameter configuration. For example, radio resource control (RRC) may be used to configure a parameter at the user equipment.
  • RRC radio resource control
  • the higher layer parameter configuration may be used as part of determining the transformation matrix or the transformed matrix
  • Transformation matrix may include K principal components, which are common to different layers. Using K principal components that are common to different layers, may allow for only a single set of transformation matrix to be used, instead of having to use multiple sets for different layers. As discussed above, using only a single set of transformation matrix may reduce the channel state information payload by K ⁇ M ⁇ (RI -1) coefficients.
  • Mcoefficients may be quantized separately in terms of amplitude and phase.
  • the strongest coefficient may first be selected from M coefficients, and an index of the strongest coefficient may be quantized using the following equation: The strongest coefficient may have the maximum amplitude value.
  • the other (M-1) coefficients of the principal component may be divided by the strongest coefficient, and then quantized separately in terms of amplitude and phase.
  • the index of the strongest coefficient and amplitude/phase values of the other (M-1) coefficients in the transformation matrix may be reported for each principal component from the user equipment to the network entity.
  • the reporting may be included as part of a channel state information report.
  • the network entity for example, may be a gNB. In some embodiments, the reporting may occur over a physical uplink shared channel (PUSCH) .
  • PUSCH physical uplink shared channel
  • the user equipment may determine an index for each principal component included in transformation matrix
  • the principal component of the transformation matrix may be common to the different layers.
  • the index may represent the strongest coefficient for each principal component included in the transformation matrix, and may be calculated using the following equation: The index may be reported by the user equipment to the network entity.
  • the constructing of the channel state information report may include determining at least one of the transformation matrix or the transformed matrix Transformed matrix may have K ⁇ N coefficients for separate quantization for each layer.
  • the strongest coefficient may be first selected from K ⁇ N coefficients, and the index of the strongest coefficient may be quantized using the following equation:
  • the other (K ⁇ N -1) coefficients of the transformed matrix in the layer may be divided by the strongest coefficient, and then quantized separately in terms of amplitude and phase.
  • the index of the strongest coefficient and amplitude/phase values of the other (K ⁇ N -1) coefficients in transformed matrix ⁇ may be reported for each layer from the user equipment.
  • the reporting may be included as part of the channel state information report.
  • the index for example, may be reported over a physical uplink shared channel from the user equipment to a network entity, such as gNB.
  • the user equipment may determine another index for a transformed matrix in one or more layers.
  • the transformed matrix in each of the one or more layers may have a separate quantization coefficient.
  • the index of the transformed matrix may represent the strongest coefficient in each layer.
  • the channel state information feedback may include a higher layer parameter configuration.
  • some higher layer parameters may be configured statically or semi-statically.
  • the network entity may determine the higher layer parameters and transmit the parameters to the user equipment.
  • the user equipment may receive the parameter using radio resource control (RRC) signaling.
  • RRC radio resource control
  • the parameters for example, may be the number of principal component K.
  • Quantization set and quantization bit of the amplitude and phase may be configured by the network entity for transformation matrix and transformed matrix ⁇ , respectively.
  • the channel state information may be constructed or reconstructed by the network entity using the received information included in the channel state information report.
  • the report may include a single set of the transformation matrix, and one or more sets of the transformed matrix.
  • the network entity may construct the channel state information based on the information included within the transformation matrix and/or transformed matrix ⁇ .
  • the channel state matrix may be restored on the network entity side, for example gNB, leveraging
  • the above embodiments utilizing at least one of transformation matrix transformed matrix ⁇ , and/or higher layer parameter configuration may help to reduce channel state information payload by 35%compared to another channel state information method.
  • the channel state information feedback overhead may be reduced by 6%for 9 sub-bands, 18%for 13 sub-bands, and 28%for 20 sub-bands compared to other channel state information methods.
  • certain embodiments may help to reduce channel state information feedback overhead, thereby reducing the network resources used for channel state information reporting and/or construction.
  • Figure 1 illustrates an example of a table according to certain embodiments.
  • Figure 1 illustrates an example of channel state information feedback that utilizes sub-band bundling.
  • the correlated sub-bands may be selected together as part of the channel state information feedback.
  • the network entity may configure the user equipment about which sub-bands are to be considered jointly or independently.
  • the sub-band bundling may be reported together with channel state information feedback over PUSCH, for example.
  • the user equipment may perform the bundling and feedback or transmit such information together with the channel state information report to the base station.
  • sub-bands may be bundled together, while in other embodiments the sub-bands may be bundled into multiple groups each having different sub-band bundling sizes based on correlation of the sub-bands. This may allow the network entity flexibility in reducing channel state information feedback overhead while maintaining satisfactory system performance. In certain embodiments, the network entity may be able to schedule high feedback overhead in order to get better performance. Correlation of the sub-bands may be known with long term knowledge or any other mechanisms at the user equipment or the network entity. In other words, the network operator and/or provider, for example, may preconfigure the user equipment or the network entity with the correlation of the sub-bands.
  • the number of sub-bands may be represented by N, and the network entity may configure the sub-band bundling size (s) and exact sub-band indices, which are to be bundled together during channel state information calculation.
  • the channel state information feedback or report may have a bit field used by the user equipment to dynamically inform the network entity of the bundled sub-bands.
  • Sub-band bundling may be combined with other PCA rules to further compress channel state information to reduce channel state information payload.
  • sub-band configuration 120 may be any one of the four examples illustrated in the table.
  • sub-bands 1 and 2 sub-bands 3, 4, 5, and 6, and sub-bands 9 and 10 are respectively bundled together, while sub-bands 7 and 8 remain independent.
  • sub-bands 1 and 2, sub-bands 3 and 4, sub-bands 5 and 6, sub-bands 7 and 8, and sub-bands 9 and 10, are respectively bundled together.
  • sub-bands 1, 2, 3, 4, 5, and 6, sub-bands 7 and 8, and sub-bands 9 and 10 are respectively bundled together.
  • sub-bands 1, 2, 5, and 6, sub-bands 3 and 4, and sub-bands 7, 8, 9, and 10 are respectively bundled together.
  • Certain embodiments may utilize unequal bit allocation for singular vectors.
  • CFR channel frequency response
  • K out of P singular vectors may be fed back from the user equipment, while the remaining P -K singular vectors may be discarded.
  • Figure 2 illustrates an example of a diagram according to certain embodiments.
  • Figure 2 illustrates the ratio of energy of the CFR concentration in the first singular vectors for user 1, user 2, and user 3 each having two receiver antennas.
  • the performance of user 1 receiver antenna 1 210, user 1 receiver antenna 2 220, user 2 receiver antenna 1 230, user 2 receiver antenna 2 221, user 3 receiver antenna 1 230, and user 3 receiver antenna 3 231 are all shown in Figure 2.
  • User 2 for example, has 87.5%of the energy of the CFR concentrated in the first singular vectors (left and right) .
  • the first singular vectors may be assigned to user 2, who has a high quantization resolution.
  • the user equipment may utilize threshold T 1 to determine whether the first singular vectors can be assigned higher quantization resolution or not.
  • the first singular vector for example, may be included within the transformation matrix.
  • the singular vectors, the principal components, or the eigenvectors may all have a similar meaning. If some measurement metric is equal to or higher than T 1 , then the singular vectors may be assigned higher quantization resolution. On the other hand, if the measurement metric is lower than T 1 , then the singular vectors may be assigned lower quantization resolution.
  • the UE may determine the desired value of K, and may feed it back or transmit the desired value to the network entity.
  • user 1 may be assigned more singular vectors than user 3.
  • the ratio of energy of the CFR concentration in the first singular vectors may be higher in user 3 than user 1.
  • the left singular vectors may be the eigenvectors of the frequency correlation matrix and the right singular vectors may be the eigenvectors of the spatial correlation matrix
  • the compression quality of the left singular vectors may be different from the right singular vectors.
  • a different quantization resolution, therefore, may be assigned to the left and right singular vectors.
  • Channel state information reporting which includes both transformed matrix ⁇ and transformation matrix may have reduced feedback coefficients. For example, certain embodiments may use a single set of transformation matrix instead of having to report multiple sets of different layers. Certain embodiments may therefore save channel state information payload by at least K ⁇ M ⁇ (RI -1) coefficients.
  • Figure 3 illustrates an example of a table according to certain embodiments.
  • Figure 3 illustrates a table with a channel state information scheme 310, a transformation matrix 320, a transformed matrix ⁇ 330, and a total payload 340.
  • the table shows two different channel state information schemes, one scheme according to certain embodiments, and the other a comparison XYZ channel state information scheme.
  • Transformation matrix 320 and transformed matrix ⁇ 330 may include a strongest coefficient, an amplitude, and a phase.
  • the payload of transformed matrix ⁇ 330 of the XYZ channel state information scheme may be similar to certain embodiments of the channel state information scheme.
  • the payload of Transformation matrix 320 may be lower, leading to a total payload of 616 for XYZ channel state information scheme, and a total payload of 398 for some of the embodiments discussed above.
  • Figures 4 illustrates an example of an ABC scheme
  • Figure 5 illustrates an example of a table according to certain embodiments.
  • Figure 4 illustrates a payload according to an ABC scheme
  • Figure 5 illustrates a payload according to certain embodiments.
  • the table shown in Figure 4 may include a sub-band number 410, a beam selection 420, a non-zero amplitude indication 430, a strongest coefficient 440, a wideband (WB) amplitude 450, a sub-band (SB) amplitude 460, a SB phase 470, and a total payload 480.
  • WB wideband
  • SB sub-band
  • the quantization bit of WB amplitude, SB differential amplitude, and SB phase may be 3, 1, and 3, respectively.
  • Sub-band numbers 9, 13, and 20 may have a total payload of 425, 585, and 865, respectively.
  • Figure 5 illustrates a total payload according to certain embodiments.
  • the embodiments of Figure 5 illustrate a sub-band number 510, transformation matrix 520, transformed matrix ⁇ 530, and a total payload 540.
  • Transformation matrix may have a 4-bit phase quantization and 3-bit amplitude quantization
  • transformed matrix ⁇ has a 3-bit phase quantization and 2-bit amplitude quantization.
  • a sub-band number of 9, 13, and 20 of may have a total payload of 398, 478, and 620, respectively, which represents a significant reduction to the overhead of the channel state information feedback.
  • Figure 6 illustrates a diagram according to certain embodiments.
  • Figure 6 illustrates payload of ABC channel state information 610 and payload of channel state information according to certain embodiments 620.
  • Payload channel state information 610 may represent the payload shown in Figure 4
  • payload channel state information 620 may represent the payload shown in Figure 5.
  • the above embodiments may reduce the payload by 6%for 9 sub-bands, 18%for 13 sub-bands, and 28%for 20 sub-bands.
  • Figure 7 illustrates an example of a method according to certain embodiments.
  • Figure 7 illustrates a method performed by a user equipment.
  • the user equipment may receive one or more higher layer parameters statically or semi-statically.
  • the one or more higher layer parameters may include at least one of a number of components and quantization configuration parameters.
  • quantization set and quantization bit of amplitude and phase may be configured for transformation matrix and transformed matrix respectively.
  • transformation matrix may have a 4-bit phase quantization and 3-bit amplitude quantization
  • transformed matrix may have a 3-bit phase quantization and 2-bit amplitude quantization.
  • the components for example, may be one or more principal components.
  • the user equipment may then use the one or more higher layer parameters to determine the channel state information feedback.
  • the user equipment may determine a single set of a transformation matrix.
  • the single set of the transformation matrix may be used for different layers.
  • one or more components of the transformation matrix may be common to the different layers.
  • the user equipment may determine an index for the component of the transformation matrix.
  • the index of the transformation matrix may represent a strongest coefficient for the one or more components, or each of the one or more components, and the index may be included in the channels state information report.
  • the strongest coefficient may be determined as a single index considering all the components or may be selected as multiple indices each representing a different component.
  • the user equipment may also determine an amplitude and a phase of coefficients other than the strongest coefficient for the one or more components, or each of the one or more components, included in the transformation matrix.
  • the user equipment may assign a higher quantization to the components of the transformation matrix when a threshold value is met.
  • the user equipment may determine a transformed matrix in one or more layers.
  • the transformed matrix in each of the one of more layers may include separate quantization coefficients.
  • the channel state information report may include the separate quantization coefficients of the transformed matrix.
  • the user equipment may select a group of sub-bands that correlate with the channel state information report. Examples of a selected group of sub-bands are illustrated in Figure 1.
  • the user equipment may construct a channel state information report comprising the single set of the transformation matrix.
  • the channel state information report may also include the separate quantization coefficients of the transformed matrix.
  • the user equipment may transmit the channel state information report to the network entity.
  • the channel state information report may be transmitted over the physical uplink shared channel.
  • Figure 8 illustrates an example of a method according to certain embodiments.
  • Figure 8 illustrates a method performed by a network entity, for example a gNB.
  • the network entity may determine one or more higher layer parameters statically or semi-statically.
  • the one or more higher layer parameters may include at least one of a number of components and quantization configuration parameters.
  • the network entity may transmit the one or more higher layer parameters to the user equipment.
  • the network entity may receive from a user equipment a single set of a transformation matrix.
  • the network entity may receive an index for one or more components of the transformation matrix from the user equipment.
  • the index of the transformation matrix may represent a strongest coefficient for the components.
  • the index of the one or more components may be received as part of the single set of the transformation matrix.
  • the feedback items of the transformation matrix may be composed of the index of strongest coefficient of each component, as well as amplitude and phase of coefficients other than the strongest one for each component.
  • the single set of the transformation matrix may be used for different layers. Components of the transformation matrix may be common to the different layers.
  • the network entity may alternatively or in addition to receive separate quantization coefficients for one or more layers of a transformed matrix.
  • the feedback items of the transformed matrix may be composed of the index of strongest coefficient for each layer, as well as amplitude and phase of coefficients other than strongest one for each layer.
  • the network entity may receive sub-band bundling related reports from the user equipment.
  • the network entity may construct channel state information.
  • the channel state information may be constructed based on at least one of the single set report of transformation matrix, the transformed matrix, and/or the sub-band bundling.
  • Figure 9 illustrates a system according to certain embodiments. It should be understood that each signal or block in Figures 1-8 may be implemented by various means or their combinations, such as hardware, software, firmware, one or more processors and/or circuitry.
  • a system may include several devices, such as, for example, network entity 920 or user equipment (UE) 910. The system may include more than one UE 910 and more than one network entity 920.
  • Network entity 920 may be a network node, a base station, an access point, an access node, a gNB, an eNodeB (eNB) , a server, a host, or any other network entity that may communicate with the UE.
  • eNB eNodeB
  • Each of these devices may include at least one processor or control unit or module, respectively indicated as 911 and 921.
  • At least one memory may be provided in each device, and indicated as 912 and 922, respectively.
  • the memory may include computer program instructions or computer code contained therein.
  • One or more transceiver 913 and 923 may be provided, and each device may also include an antenna, respectively illustrated as 914 and 924. Although only one antenna each is shown, many antennas and multiple antenna elements may be provided to each of the devices. Other configurations of these devices, for example, may be provided.
  • network entity 920 and UE 910 may be additionally configured for wired communication, in addition to wireless communication, and in such a case antennas 914 and 924 may illustrate any form of communication hardware, without being limited to merely an antenna.
  • Transceivers 913 and 923 may each, independently, be a transmitter, a receiver, or both a transmitter and a receiver, or a unit or device that may be configured both for transmission and reception.
  • the transmitter and/or receiver (as far as radio parts are concerned) may also be implemented as a remote radio head which is not located in the device itself, but in a mast, for example.
  • the operations and functionalities may be performed in different entities, such as nodes, hosts or servers, in a flexible manner. In other words, division of labor may vary case by case.
  • One possible use is to make a network entity deliver local content.
  • One or more functionalities may also be implemented as virtual application (s) in software that can run on a server.
  • a user device or UE 910 may be a mobile station (MS) such as a mobile phone or smart phone or multimedia device, an IoT cellular device, a computer, such as a tablet, provided with wireless communication capabilities, personal data or digital assistant (PDA) provided with wireless communication capabilities, portable media player, digital camera, pocket video camera, navigation unit provided with wireless communication capabilities or any combinations thereof.
  • MS mobile station
  • IoT cellular device such as a mobile phone or smart phone or multimedia device
  • PDA personal data or digital assistant
  • portable media player such as digital camera
  • pocket video camera such as a portable media player, digital camera, pocket video camera
  • navigation unit provided with wireless communication capabilities or any combinations thereof.
  • the user equipment may be replaced with a machine communication device that does not require any human interaction, such as a sensor, meter, or robot.
  • an apparatus such as a user equipment or a network entity, may include means for carrying out embodiments described above in relation to Figures 1-8.
  • at least one memory including computer program code can be configured to, with the at least one processor, cause the apparatus at least to perform any of the processes described herein.
  • Processors 911 and 921 may be embodied by any computational or data processing device, such as a central processing unit (CPU) , digital signal processor (DSP) , application specific integrated circuit (ASIC) , programmable logic devices (PLDs) , field programmable gate arrays (FPGAs) , digitally enhanced circuits, or comparable device or a combination thereof.
  • the processors may be implemented as a single controller, or a plurality of controllers or processors.
  • the implementation may include modules or unit of at least one chip set (for example, procedures, functions, and so on) .
  • Memories 912 and 922 may independently be any suitable storage device, such as a non-transitory computer-readable medium.
  • a hard disk drive (HDD) random access memory (RAM) , flash memory, or other suitable memory may be used.
  • the memories may be combined on a single integrated circuit as the processor, or may be separate therefrom.
  • the computer program instructions may be stored in the memory and which may be processed by the processors can be any suitable form of computer program code, for example, a compiled or interpreted computer program written in any suitable programming language.
  • the memory or data storage entity is typically internal but may also be external or a combination thereof, such as in the case when additional memory capacity is obtained from a service provider.
  • the memory may be fixed or removable.
  • a non-transitory computer-readable medium may be encoded with computer instructions or one or more computer program (such as added or updated software routine, applet or macro) that, when executed in hardware, may perform a process such as one of the processes described herein.
  • Computer programs may be coded by a programming language, which may be a high-level programming language, such as objective-C, C, C++, C#, Java, etc., or a low-level programming language, such as a machine language, or assembler. Alternatively, certain embodiments may be performed entirely in hardware.
  • an apparatus may include circuitry configured to perform any of the processes or functions illustrated in Figures 1-8.
  • Circuitry in one example, may be hardware-only circuit implementations, such as analog and/or digital circuitry.
  • Circuitry in another example, may be a combination of hardware circuits and software, such as a combination of analog and/or digital hardware circuit (s) with software or firmware, and/or any portions of hardware processor (s) with software (including digital signal processor (s) ) , software, and at least one memory that work together to cause an apparatus to perform various processes or functions.
  • circuitry may be hardware circuit (s) and or processor (s) , such as a microprocessor (s) or a portion of a microprocessor (s) , that include software, such as firmware for operation.
  • Software in circuitry may not be present when it is not needed for the operation of the hardware.
  • the above embodiments may be directed to computer-related technology that provides significant improvements to the functioning of a network and/or to the functioning of the network entities within the network, or the user equipment communicating with the network.
  • the above embodiments may help to reduce the payload for transmitting channel state information or for channel state information feedback.
  • the channel state information may help to reduce the channel state information feedback overhead.
  • Such embodiments therefore, may help to reduce network resource usage and/or resource usage at the user equipment.

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

Abstract

Selon la présente invention, divers systèmes de communication peuvent tirer profit d'un retour d'informations d'état de canal. Par exemple, il peut être utile d'améliorer un retour d'informations d'état de canal au moyen d'une compression spatiale. Selon certains modes de réalisation, un procédé peut consister à déterminer un ensemble unique d'une matrice de transformation, au niveau d'un équipement utilisateur. L'ensemble unique de la matrice de transformation peut être utilisé pour différentes couches. Le procédé peut également consister à créer, au niveau de l'équipement utilisateur, un rapport d'informations d'état de canal contenant l'ensemble unique de la matrice de transformation. De plus, le procédé peut consister à transmettre le rapport d'informations d'état de canal contenant l'ensemble unique de la matrice de transformation, de l'équipement utilisateur à une entité de réseau.
PCT/CN2018/087682 2018-05-21 2018-05-21 Retour d'informations d'état de canal WO2019222882A1 (fr)

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