CN103716078B - A kind of processing method and processing device of channel state information - Google Patents
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Abstract
The invention discloses a kind of processing method and processing devices of channel state information, to solve the problems, such as that the measurement of UE in the prior art and feedback can not adapt to various transmission modes.This method comprises: UE receives the high-rise configuration information of 1 or 2 CSI-RS resource of instruction from a base station;UE receives corresponding CSI-RS signal according to the high level configuration information, and carries out channel measurement, obtains channel measurement;UE is according to the channel measurement of CSI-RS signal, it determines and reports CSI, the CSI includes at least joint CQI, and joint CQI is to be calculated according to two pre-coding matrixes, and two pre-coding matrixes are obtained according to the CSI-RS signal measurement of a base station.The device includes configuration information receiving module, channel measurement module and CSI processing module.Using technical solution of the present invention, the capacity and spectrum efficiency of existing system are significantly improved.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to a method and an apparatus for processing Channel State Information (CSI).
Background
In the wireless communication technology, when a base station side (e.g., an evolved node B, eNodeB, abbreviated as eNB) transmits data using multiple antennas, a spatial multiplexing method may be adopted to increase a data transmission rate. That is, the same time-frequency resource is used at the transmitting end to transmit different data at different antenna positions, and the receiving end (e.g., user equipment UE) also uses multiple antennas to receive the data.
Under the condition of a Single user, resources of all antennas are distributed to the same user, the user independently occupies physical resources distributed to a base station side in a transmission interval, and the transmission mode is called Single user Multiple-Input Multiple-output (SU-MIMO); in the case of Multiple users, space resources of different antennas are allocated to different users, and a User and at least one other User share physical resources allocated at a base station side in a transmission interval, where the sharing mode may be a space division Multiple access mode or a space division multiplexing mode, and this transmission mode is called a Multiple User Multiple-Input Multiple-output (MU-MIMO), where the physical resources allocated at the base station side refer to time-frequency resources.
If the transmission system is to support both SU-MIMO and MU-MIMO, the eNB needs to provide the UE with data in both modes. When the UE is in the SU-MIMO mode or the MU-MIMO mode, the UE needs to know the Rank (Rank) used by the eNB for transmitting the MIMO data for the UE.
In the SU-MIMO mode, resources of all antennas are allocated to the same user, and the number of layers used for transmitting MIMO data is equal to the rank used by the eNB for transmitting MIMO data; in the MU-MIMO mode, the number of layers used for transmission of a corresponding user is less than the total number of layers used by the eNB for transmitting MIMO data, and if the SU-MIMO mode and the MU-MIMO mode are to be switched, the eNB needs to notify the UE of different control data in different transmission modes.
In a Long Term Evolution system (LTE), Information (CSI: Channel State Information) reflecting a downlink physical Channel State includes 3 parts: channel Quality Indication (CQI), Precoding Matrix Indication (PMI), and Rank Indication (RI).
The CQI is an index for measuring the quality of the downlink channel. In the 36-213 protocol, the CQI is represented by integer values of 0 to 15, and represents different CQI grades. Different CQIs correspond to respective modulation schemes and coding rates (MCSs), and 16 cases can be divided, and can be represented by 4 bits of information, as shown in table 1:
TABLE 1 relationship between CQI index and MCS
The CQI is an important indicator for measuring transmission, and is characterized by channel quality when MIMO closed-loop precoding is performed in a manner specified by a protocol when an RI value is used as the number of transmission layers and a reported codeword indicated by a PMI is used as precoding. Therefore, CQI cannot exist independently of RI and PMI.
With the requirement of LTE-A, more and more attention is paid to node average spectrum efficiency and node edge spectrum efficiency. In contrast, the spectrum efficiency at the node edge is most concerned, mainly because the uplink and downlink of the LTE-a system are both Orthogonal Frequency Division Multiplexing (OFDM) or Frequency Division system using some variant of OFDM as the basic multiple Access method, unlike the conventional wireless communication system using Code Division Multiple Access (CDMA) as the basic multiple Access method, the LTE-a system has no processing gain, and because the interior of the node is completely Frequency-Division Orthogonal, there is almost no interference problem, but the interference processing at the node edge is relatively troublesome.
Some mechanisms related to channel information feedback in LTE are introduced below: the feedback modes of the uplink channel information in the LTE are divided into two types: periodic channel information feedback on PUCCH (physical uplink control channel) and aperiodic channel information feedback on PUSCH (physical uplink data shared channel). The PUCCH is a control channel, and the feedback reliability is high, but the feedback resource is precious, and the feedback overhead is strictly limited. The feedback quantity (including one or more of PMI, CQI and RI) of the CSI at one time can not exceed 11 bits. The PUSCH can provide more CSI feedback resources, but reliability cannot be guaranteed, and the transmission of data services may be affected due to occupation of resources for data transmission.
The Long Term Evolution-Advanced (LTE-a) system, as an Evolution standard of LTE, supports a larger system bandwidth (up to 100MHz) and is backward compatible with the existing standard of LTE. In order to obtain higher average spectral efficiency of a cell and improve coverage and throughput of a cell edge, based on the existing LTE system, the LTE-a supports up to 8 antennas in Rel-10 and Rel-11 versions, and supports more antennas such as 16, 32, and 64 or even more antennas in beyond R11 version, i.e. Massive MIMO (Massive multiple input multiple output).
The multi-antenna system in the existing wireless access base station uses the same antenna array configuration, and the beam can be adjusted in the horizontal direction, but is not adjustable in the vertical direction in use, or the downward inclination angle of the whole array is adjusted only by a mechanical way. That is, for the existing multi-antenna system, an M × N array has only M antennas (referred to as physical antennas, each antenna includes N elements) in the horizontal direction being adjustable, and is not adjustable in the vertical direction. The antenna array is provided with an M multiplied by N antenna array, each row in the horizontal direction is provided with M array elements, and each column in the vertical direction is provided with N array elements. Each array element can adjust power and phase independently, so that the beams of the antenna array can be adjusted in both horizontal and vertical directions and can be performed simultaneously, which is 3D beamforming (3D MIMO).
When the number of antennas increases significantly, it poses a great challenge to codebook feedback techniques. The reason is that the essence of codebook quantization is to quantize eigenvectors in eigenspace of a channel, and the dimension of eigenspace is related to the dimension of the number of transmit antennas, and when the dimension of transmit antennas increases, the quantization precision of the same number of codewords (16 codewords under each Rank) as 4Tx (Tx represents transmit antennas) is continuously reduced, and more codewords need to be designed to be far larger than the original number of codewords per Rank16, and the number of codewords increases exponentially. The high-dimensionality codebook feedback containing a large number of codewords brings great codebook design difficulty and also brings high complexity to the calculation of selecting proper codewords by the terminal.
In 3D beamforming and/or Massive MIMO, a feedback scheme suitable for 3D beamforming and/or Massive MIMO is not defined in the CSI determination process of the UE, so that the terminal cannot support various 3D beamforming and/or Massive MIMO transmission modes, which results in lower CSI accuracy, and finally, the system performance of 3D beamforming and/or Massive MIMO, especially the system performance of joint transmission, is seriously reduced.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method and an apparatus for processing channel state information, so as to solve the problem in the prior art that measurement and feedback of a UE cannot adapt to various transmission modes.
In order to solve the above problem, the present invention provides a method for processing channel state information, which is characterized in that the method comprises:
a User Equipment (UE) receives high-layer configuration information indicating 1 or 2 channel state-reference signal (CSI-RS) resources from one base station (eNB);
the UE receives a corresponding CSI-RS signal according to the high-level configuration information, and performs channel measurement to obtain a channel measurement result;
and the UE determines and reports Channel State Information (CSI) according to a channel measurement result of the CSI-RS signal, wherein the channel state information at least comprises joint channel quality indication information (CQI), the joint CQI is obtained by calculation according to two precoding matrixes, and the two precoding matrixes are obtained by measurement according to the CSI-RS signal of the base station.
Further, the CSI comprises M1 first-type CSI and M2 second-type CSI, M1 is a positive integer greater than or equal to 2, M2 is a positive integer greater than or equal to 1, wherein each first-type CSI is obtained according to a channel measurement result of a CSI-RS signal on one non-zero power CSI-RS resource; each second type of CSI is obtained according to channel measurement results of CSI-RS signals on at least two non-zero power CSI-RS resources.
Further, the joint CQI at least comprises L1, L1 is a positive integer greater than or equal to 1, and the joint CQI is obtained according to CSI-RS signals on two non-zero power CSI-RS resources.
Further, the M1 CSI of the first type include: m11 a-sub-class CSIs and M12B-sub-class CSIs, the M11+ M12 being M1 and M11 being M12, wherein each a-sub-class CSI comprises one or more Precoding Matrix Indexes (PMIs) indicating N-sub-class CSIT1A precoding matrix of v1, each B-subclass CSI including one or more PMIs for indicating NT2A precoding matrix of v2, wherein NT1And NT2The number of antenna ports is positive integers more than 1, v1 and v2 are layers, and are positive integers more than or equal to 1, and the number N of antenna ports corresponding to each A-type CSIT1The same, the number of antenna ports N corresponding to each B-type CSIT2Same, and NT1Greater than NT2。
Further, the calculating the joint CQI according to the two precoding matrices includes:
according to the A subclass CSIjFirst precoding matrix index PMI1 in (1)jIndicated NT1First precoding matrix W1 of v1jAnd B-sub-class CSIjSecond precoding matrix index PMI2 in (1)jIndicated NT2Second precoding matrix W2 of v2jDetermining an NT3Third precoding matrix W3 of v3jBased on the third precoding matrix W3jObtaining the joint CQIjIn which N isT1、NT2And NT3Is the number of antenna ports, which is a positive integer, NT1、NT2Values greater than 1, NT3=NT1*NT2Or NT3=NT1+NT2Wherein j is a positive integer andclass A CSIjRepresents the jth CSI of the A subclass and the CSI of the B subclassjDenotes the jth CSI, PMI1, of the B subclassjRepresenting a jth first precoding matrix index comprising one precoding matrix index or a pair of precoding matrix indexes, PMI2jRepresenting a jth second precoding matrix index comprising one precoding matrix index or a pair of precoding matrix indexes, W1jDenotes the jth first precoding matrix, W2jDenotes the jth second precoding matrix, W3jRepresents the jth third precoding matrix, combined CQIjIndicating the jth joint CQI.
Further, the precoding matrix of the A-sub-class CSI represents precoding matrix information of a first dimension; the precoding matrix of the B-sub-class CSI represents precoding matrix information of a second dimension.
Further, the calculating the joint CQI according to the two precoding matrices includes:
according to the A subclass CSIjFirst precoding matrix index PMI1 in (1)jIndicated NT1First precoding matrix W1 of v1jAnd B-sub-class CSIjSecond precoding matrix index PMI2 in (1)jIndicated NT2*Second precoding matrix W2 of v2jAnd according to sub-class A CSIjCorresponding non-zero power CSI-RS signal and B-sub-class CSIjThird precoding matrix index PMI3 obtained by measuring corresponding non-zero power CSI-RS signalsjIndicated by NT3Third precoding matrix W3 of v3jDetermining an NT4Fourth precoding matrix W4 of v4jBased on the fourth precoding matrix W4jObtaining the joint CQIjIn which N isT1、NT2、NT3And NT4The number of the antenna ports is more than or equal to 1 positive integer, wherein NT3=NT1*NT2Or NT3=NT1+NT2J is a positive integer andclass A CSIjRepresents the jth CSI of the A subclass and the CSI of the B subclassjDenotes the jth CSI, PMI1, of the B subclassjRepresenting a jth first precoding matrix index comprising one precoding matrix index or a pair of precoding matrix indexes, PMI2jRepresenting a jth second precoding matrix index comprising one precoding matrix index or a pair of precoding matrix indexes, PMI3jDenotes the jth third precoding matrix index, W1jDenotes the jth first precoding matrix, W2jDenotes the jth second precoding matrix, W3jDenotes the jth third precoding matrix, W4jRepresents the jth third precoding matrix, combined CQIjIndicating the jth joint CQI.
Further, the joint CQI at least comprises L1, L1 is a positive integer greater than or equal to 1, and the joint CQI is obtained according to a CSI-RS signal on a non-zero power CSI-RS resource.
Further, the CSI includes M1 first-class CSIs, the M1 first-class CSIs at least include a first-class PMI and a second-class PMI, and one or more first-class PMIs used to indicate NT1A precoding matrix of v1, one or more second classes of PMIs for indicating NT2A precoding matrix of v2, wherein NT1And NT2The number of antenna ports is a positive integer greater than 1, and NT1Is not equal to NT2V1 and v2 are numbers of layers, and are positive integers of 1 or more.
Further, the calculating the joint CQI according to the two precoding matrices includes:
according to the first class PMI1jIndicated NT1First precoding matrix W1 of v1jPMI2 of the second typejIndicated NT2Second precoding matrix W2 of v2jUniquely determining an NT3Third precoding matrix W3 of v3jBased on the third precoding matrix W3jObtaining the joint CQIjWherein N isT1、NT2And NT3Is the number of antenna ports, which is a positive integer, NT1、NT2Values greater than 1, NT3=NT1*NT2Or NT3=NT1+NT2J is a positive integer andPMI1 of the first typejRepresenting a jth precoding matrix index of a first type, the jth precoding matrix index comprising a precoding matrix index or a pair of precoding matrix indexes, a second type of PMI1jRepresenting a jth second-type precoding matrix index, the jth second-type precoding matrix index comprising a precoding matrix index or a pair of precoding matrix indexes, W1jDenotes the jth first precoding matrix, W2jDenotes the jth second precoding matrix, W3jRepresents the jth third precoding matrix, combined CQIjIndicating the jth joint CQI.
Further, the first-class precoding matrix index represents precoding matrix information of a first dimension; the second type of precoding matrix index represents precoding matrix information of a second dimension.
In order to solve the above problem, the present invention further provides a channel state information processing apparatus, located in a User Equipment (UE), including a configuration information receiving module, a channel measurement module, and a CSI processing module, wherein:
the configuration information receiving module is configured to receive high-layer configuration information indicating 1 or 2 channel state-reference signal (CSI-RS) resources from a base station (eNB);
the channel measurement module is used for receiving a corresponding CSI-RS signal according to the high-level configuration information, and performing channel measurement to obtain a channel measurement result;
the CSI processing module is configured to determine and report Channel State Information (CSI) according to a channel measurement result of a CSI-RS signal, where the CSI information at least includes joint channel quality indication information (CQI), the joint CQI is calculated according to two precoding matrices, and the two precoding matrices are measured according to the CSI-RS signal of the base station.
Further, the CSI comprises M1 first-type CSI and M2 second-type CSI, M1 is a positive integer greater than or equal to 2, M2 is a positive integer greater than or equal to 1, wherein each first-type CSI is obtained according to a channel measurement result of a CSI-RS signal on one non-zero power CSI-RS resource; each second type of CSI is obtained according to channel measurement results of CSI-RS signals on at least two non-zero power CSI-RS resources.
Further, the joint CQI at least comprises L1, L1 is a positive integer greater than or equal to 1, and the joint CQI is obtained according to CSI-RS signals on two non-zero power CSI-RS resources.
Further, the M1 CSI of the first type include: m11 a-sub-class CSIs and M12B-sub-class CSIs, the M11+ M12 being M1 and M11 being M12, wherein each a-sub-class CSI comprises one or more Precoding Matrix Indexes (PMIs) indicating N-sub-class CSIT1A precoding matrix of v1, each B-subclass CSI including one or more PMIs for indicating NT2A precoding matrix of v2, wherein NT1And NT2The number of antenna ports is positive integers more than 1, v1 and v2 are layers, and are positive integers more than or equal to 1, and the number N of antenna ports corresponding to each A-type CSIT1The same, the number of antenna ports N corresponding to each B-type CSIT2Same, and NT1Greater than NT2。
Further, the CSI processing module calculates a joint CQI according to the two precoding matrices, including:
the CSI processing module processes CSI according to A subclassjFirst precoding matrix index PMI1 in (1)jIndicated NT1First precoding matrix W1 of v1jAnd B-sub-class CSIjSecond precoding matrix index PMI2 in (1)jIndicated NT2Second precoding matrix W2 of v2jDetermining an NT3Third precoding matrix W3 of v3jBased on the third precoding matrix W3jObtaining the joint CQIjIn which N isT1、NT2And NT3Is the number of antenna ports, which is a positive integer, NT1、NT2Values greater than 1, NT3=NT1*NT2Or NT3=NT1+NT2Wherein j is a positive integer andclass A CSIjRepresents the jth CSI of the A subclass and the CSI of the B subclassjDenotes the jth CSI, PMI1, of the B subclassjRepresenting a jth first precoding matrix index comprising one precoding matrix index or a pair of precoding matrix indexes, PMI2jRepresenting a jth second precoding matrix index comprising one precoding matrix index or a pair of precoding matrix indexes, W1jDenotes the jth first precoding matrix, W2jDenotes the jth second precoding matrix, W3jRepresents the jth third precoding matrix, combined CQIjIndicating the jth joint CQI.
Further, the precoding matrix of the A-sub-class CSI represents precoding matrix information of a first dimension; the precoding matrix of the B-sub-class CSI represents precoding matrix information of a second dimension.
Further, the CSI processing module calculates a joint CQI according to the two precoding matrices, including:
the CSI processing module processes CSI according to A subclassjFirst precoding matrix index PMI1 in (1)jIndicated NT1First precoding matrix W1 of v1jAnd B-sub-class CSIjSecond precoding matrix index PMI2 in (1)jIndicated NT2Second precoding matrix W2 of v2jAnd according to sub-class A CSIjCorresponding non-zero power CSI-RS signal and B-sub-class CSIjThird precoding matrix index PMI3 obtained by measuring corresponding non-zero power CSI-RS signalsjIndicated by NT3Third precoding matrix W3 of v3jDetermining an NT4Fourth precoding matrix W4 of v4jBased on the fourth precoding matrix W4jObtaining the joint CQIjIn which N isT1、NT2、NT3And NT4The number of the antenna ports is more than or equal to 1 positive integer, wherein NT3=NT1*NT2Or NT3=NT1+NT2J is a positive integer andclass A CSIjRepresents the jth CSI of the A subclass and the CSI of the B subclassjDenotes the jth CSI, PMI1, of the B subclassjRepresenting a jth first precoding matrix index comprising one precoding matrix index or a pair of precoding matrix indexes, PMI2jRepresenting a jth second precoding matrix index comprising one precoding matrix index or a pair of precoding matrix indexes, PMI3jDenotes the jth third precoding matrix index, W1jDenotes the jth first precoding matrix, W2jDenotes the jth second precoding matrix, W3jDenotes the jth third precoding matrix, W4jRepresents the jth third precoding matrix, combined CQIjIndicating the jth joint CQI.
Further, the joint CQI at least comprises L1, L1 is a positive integer greater than or equal to 1, and the joint CQI is obtained according to a CSI-RS signal on a non-zero power CSI-RS resource.
Further, the CSI includes M1 first-class CSIs, the M1 first-class CSIs at least include a first-class PMI and a second-class PMI, and one or more first-class PMIs used to indicate NT1A precoding matrix of v1, one or more second classes of PMIs for indicating NT2A precoding matrix of v2, wherein NT1And NT2The number of antenna ports is a positive integer greater than 1, and NT1Is not equal to NT2V1 and v2 are numbers of layers, and are positive integers of 1 or more.
Further, the CSI processing module calculates a joint CQI according to the two precoding matrices, including:
the CSI processing module is based on a first type PMI1jIndicated NT1W1 of the v1 first precoding matrixjPMI2 of the second typejIndicated NT2Second precoding matrix W2 of v2jUniquely determining an NT3Third precoding matrix W3 of v3jBased on the third precoding matrix W3jObtaining the joint CQIjWherein N isT1、NT2And NT3Is the number of antenna ports, which is a positive integer, NT1、NT2Values greater than 1, NT3=NT1*NT2Or NT3=NT1+NT2J is a positive integer andPMI1 of the first typejRepresenting a jth precoding matrix index of a first type, the jth precoding matrix index comprising a precoding matrix index or a pair of precoding matrix indexes, a second type of PMI1jRepresenting a jth second-type precoding matrix index, the jth second-type precoding matrix index comprising a precoding matrix index or a pair of precoding matrix indexes, W1jDenotes the jth first precoding matrix, W2jDenotes the jth second precoding matrix, W3jRepresenting the jth third precoding matrixJoint CQIjIndicating the jth joint CQI.
Further, the first-class precoding matrix index represents precoding matrix information of a first dimension; the second type of precoding matrix index represents precoding matrix information of a second dimension.
According to the prior art, 3D antennas can only be virtualized into 2D antennas, and large-scale (16, 32,64) antennas can only be virtualized into existing antennas not exceeding 8 antennas, so that the performance of the prior art can only be achieved, and the performance of 3D beamforming and/or Massivie MIMO cannot be exerted.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the example serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart illustrating a channel state information processing method according to an embodiment of the present invention;
fig. 2 is a schematic block diagram of a channel state information processing apparatus according to an embodiment of the present invention.
Detailed Description
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Embodiments of the present invention will be described in detail with reference to the accompanying drawings and embodiments, so that how to apply technical means to solve technical problems and achieve the technical effects can be fully understood and implemented.
First, if not conflicting, embodiments of the present invention and the combination of features in the embodiments with each other without conflict are within the scope of the present invention. Additionally, the steps illustrated in the flow charts of the figures may be performed in a computer system such as a set of computer-executable instructions and, although a logical order is illustrated in the flow charts, in some cases, the steps illustrated or described may be performed in an order different than here.
Examples
The channel state information processing method of this embodiment, as shown in fig. 1, includes the following steps:
step S110, the UE receives high-level configuration information indicating 1 or 2 channel state-reference signal (CSI-RS) resources from a base station (eNB);
the case of receiving higher layer configuration information on more than 2 resources is not excluded.
The high-layer configuration information of each CSI-RS resource is defined by a set of high-layer configuration parameters, and specifically includes an antenna port number (antennaPortsCount), a resource configuration (resourceConfig), and a subframe configuration (subframe config).
One CSI-RS signal may be transmitted on each CSI-RS resource, which are conceptually in one-to-one correspondence. For CSI-RS resources, each CSI-RS resource corresponds to a transmission node. The transmission node may be a Macro base station (Macro), a micro base station (Pico), a Relay (Relay), a radio remote station (RRH), or a home base station (Femto).
For the UE, one transmission node TP in one distributed antenna system or coordinated multipoint transmission system corresponds to one or more CSI-RS resources, or one CSI-RS resource corresponds to multiple transmission nodes TP in the distributed antenna system or coordinated multipoint transmission system.
Step S120, the UE receives the corresponding CSI-RS signal according to the high-level configuration information, and performs channel measurement to obtain a channel measurement result;
step S130, the UE determines and reports Channel State Information (CSI) according to a channel measurement result of the CSI-RS signal, the CSI at least comprises joint channel quality indication information (CQI), the joint CQI is obtained by calculation according to two precoding matrixes, and the two precoding matrixes are obtained by measurement according to the CSI-RS signal of the base station.
The reported CSI comprises M1 first-type CSI and M2 second-type CSI. And the UE reports the CSI to the network side through an uplink feedback channel. Each first type of CSI is obtained according to a channel measurement result of a CSI-RS signal (which can be called as a non-zero power CSI-RS signal for short) on one non-zero power CSI-RS resource; each second type of CSI is obtained according to channel measurement results of CSI-RS signals on at least two non-zero power CSI-RS resources. M1 is a positive integer of 2 or more, and M2 is a positive integer of 1 or more.
The first condition is as follows:
the joint CQI at least comprises L1 CQIs, the joint CQI is obtained according to CSI-RS signals on two non-zero power CSI-RS resources, and L1 is a positive integer greater than or equal to 1.
At this time, the M1 CSI of the first type include: m11 a-subclasses CSI and M12B-subclasses CSI, M11+ M12 ═ M1 and M11 ═ M12, i.e. M12Wherein, each A-type CSI corresponds to the same number of antenna ports as NT1Each B-sub-class CSI corresponds to the same number of antenna ports, which is NT2In general, NT1Greater than NT2Each A-sub-class CSI includes one or more pre-setsCoding matrix index (PMI) indicating NT1Precoding matrix of v1, NT1Is a positive integer greater than 1, v1 is the number of layers, is a positive integer greater than or equal to 1; each B-sub-class CSI includes one or more precoding matrix indexes to indicate NT2Precoding matrix of v2, NT2Is a positive integer greater than 1, v2 is the number of layers, is a positive integer greater than or equal to 1;
preferably, the one or more precoding matrix indexes of the a sub-class indicate codewords of one precoding matrix from the first codebook C1; the one or more precoding matrix indices of the sub-class B indicate codewords of a precoding matrix from a second codebook C2;
the precoding matrix of the A-class CSI can represent precoding matrix information of a first dimension of the two-dimensional rectangular antenna array; the precoding matrix of the B-sub-class CSI may represent precoding matrix information of a second dimension of the two-dimensional rectangular antenna array. For example, the precoding matrix of the a sub-class may represent precoding matrix information in the horizontal direction; the precoding matrix of the B sub-category may represent precoding matrix information in the vertical direction. Or the precoding matrix of the a subclass represents precoding matrix information of a first part of antennas of large-scale (Massive) MIMO; the precoding matrix of the B subclass represents precoding matrix information of a second part of antennas of large-scale (Massive) MIMO; and the first partial antenna and the second partial antenna have no overlapped antenna array elements.
The second type of CSI comprises joint CQIs which at least comprise L1, if the joint CQIs are obtained according to CSI-RS signals on two non-zero power CSI-RS resources, the method for obtaining the joint CQIs through calculation according to two precoding matrixes comprises the following steps:
according to the A subclass CSIjThe first PMI1 in (1)jIndicated NT1W1 of v1jClass B CSIjSecond PMI2 in (1)jIndicated NT2W2 of v2jCan uniquely determine an NT3Precoding matrix W3 of v3jBased on the precoding matrix W3jA joint CQI may be obtainedj。NT1、NT2And NT3Are all the number of antenna ports, where NT1、NT2Are all positive integers greater than 1, NT3Is NT1+NT2And NT1*NT2A positive integer in between, i.e. (N)T1+NT2)≤NT3≤(NT1*NT2) V1, v2 and v3 are positive integers of 1 or more in the number of layers. Preferably NT3=NT1+NT2Or NT3=NT1*NT2. Wherein j is a positive integer andclass A CSIjRepresents the jth CSI of the A subclass and the CSI of the B subclassjDenotes the jth CSI, PMI1, of the B subclassjRepresenting the jth first precoding matrix index, which comprises a precoding matrix index or a pair of precoding matrix indexes, PMI2jDenotes the jth second precoding matrix index, which includes a precoding matrix index or a pair of precoding matrix indexes, W1jDenotes the jth first precoding matrix, W2jDenotes the jth second precoding matrix, W3jRepresents the jth third precoding matrix, combined CQIjIndicating the jth joint CQI.
According to W1jAnd W2jDetermination of W3jThe following formula can be used:
in addition, W1 can be usedjAnd W2jObtaining W3jThe method of (1).
In a preferred embodiment, the UE also feeds back an additional precoding matrix index (e.g., W3)jPMI of (d) or parameters of precoding.
Another method for obtaining the joint CQI by calculating two precoding matrices is as follows:
CSI according to subclass AjPMI1 ofjIndicated NT1W1 of v1jCSI of the B subclassjPMI2 ofjIndicated NT2W2 of v2jAnd according to sub-class A CSIjCorresponding non-zero power CSI-RS signal and B-sub-class CSIjPMI3 measured by corresponding non-zero power CSI-RS signaljIndicated NT3W3 of v3jCan uniquely determine an NT4W4 of v4jBased on the W4jThe joint CQI may be obtainedjIn which N isT1、NT2、NT3And NT4The number of antenna ports is more than or equal to 1 positive integer, NT3Is NT1+NT2And NT1*NT2Positive integers between, i.e.: (N)T1+NT2)≤NT3≤(NT1*NT2). Preferably NT3=NT1+NT2Or NT3=NT1*NT2J is a positive integer andclass A CSIjRepresents the jth CSI of the A subclass and the CSI of the B subclassjDenotes the jth CSI, PMI1, of the B subclassjDenotes a jth first precoding matrix index including one precoding matrix index or a pair of precoding matrix indexes, PMI2jRepresenting a jth second precoding matrix index comprising a precoding matrix index or a pair of precoding matrix indexes, PMI3jDenotes the jth third precoding matrix index, W1jDenotes the jth first precoding matrix, W2jDenotes the jth second precoding matrix, W3jDenotes the jth third precoding matrix, W4jRepresents the jth third precoding matrix, combined CQIjIndicating the jth joint CQI.
W3 can be determined using the above equation (1)j。
According to the A subclass CSIjCorresponding non-zero power CSI-RS signal and B-sub-class CSIjThird PMI3 measured by corresponding non-zero power CSI-RS signaljThat is, the A subclass CSIjCorresponding non-zero CSI-RS signal and B-sub-class CSIjAnd the corresponding non-zero power CSI-RS signal is regarded as a CSI-RS signal, and then channel measurement is carried out.
Case two:
the joint CQI at least comprises L1 CQIs, L1 is a positive integer greater than or equal to 1, and the joint CQI is obtained according to a CSI-RS signal on a non-zero power CSI-RS resource.
At this time, the CSI includes M1 first-class CSIs, and the M1 first-class CSIs have no subclasses. At least two types of PMIs are included for each first type CSI, namely a first type PMI and a second type PMI, and one or more first type PMIs are used for indicating NT1A precoding matrix of v1, one or more second classes of PMIs for indicating NT2A precoding matrix of v2, wherein NT1And NT2Representing the number of antenna ports, are all positive integers greater than 1, and NT1Is not equal to NT2V1 and v2 each represent a positive integer of 1 or more in number of layers.
In a preferred embodiment, the precoding matrix indicated by the PMI of the first type represents precoding matrix information of a first dimension of the two-dimensional rectangular antenna array, for example, represents precoding matrix information of a horizontal direction; the precoding matrix indicated by the second PMI represents precoding matrix information of a second dimension of the two-dimensional rectangular antenna array, for example, precoding matrix information representing a vertical direction;
the first type PMI and the second type PMI have respective codebooks. One or more precoding matrix indexes of a first type indicate code words of a precoding matrix from a codebook C1; one or more precoding matrix indices of the second type indicate codewords of a precoding matrix from a codebook C2.
One method for obtaining the joint CQI by calculation based on two precoding matrices is:
according to the first class PMI1jIndicated NT1W1 of v1jPMI2 of the second typejIndicated NT2W2 of v2jCan uniquely determine an NT3W3 of v3jBased on the W3jA joint CQI may be obtainedjWherein N isT1、NT2And NT3Is the number of antenna ports, which is a positive integer, NT1、NT2The value is more than 1, (N)T1+NT2)≤NT3≤(NT1*NT2) Preferably NT3=NT1+NT2Or NT3=NT1*NT2J is a positive integer andPMI1 of the first typejRepresenting the jth precoding matrix index of the first class, the jth precoding matrix index comprising a precoding matrix index or a pair of precoding matrix indexes, the second class of PMIs 1jRepresenting the jth second type precoding matrix index, the jth second type precoding matrix index comprising a precoding matrix index or a pair of precoding matrix indexes, W1jDenotes the jth first precoding matrix, W2jDenotes the jth second precoding matrix, W3jRepresents the jth third precoding matrix, combined CQIjIndicating the jth joint CQI.
W3 may be determined using equation (1) above or other methodsj。
The apparatus for processing channel state information to implement the above method, which is implemented in a user equipment, as shown in fig. 2, includes a configuration information receiving module, a channel measurement module, and a CSI processing module:
the configuration information receiving module 201 is configured to receive high-level configuration information indicating 1 or 2 CSI-RS resources from a base station;
the channel measurement module 202 is configured to receive a corresponding CSI-RS signal according to the high-level configuration information, perform channel measurement, and obtain a channel measurement result;
the CSI processing module 203 is configured to determine and report CSI according to a channel measurement result of a CSI-RS signal, where the CSI includes at least a joint CQI, the joint CQI is calculated according to two precoding matrices, and the two precoding matrices are measured according to the CSI-RS signal of the base station.
The CSI comprises M1 first-class CSI and M2 second-class CSI, M1 is a positive integer larger than or equal to 2, M2 is a positive integer larger than or equal to 1, wherein each first-class CSI is obtained according to a channel measurement result of a CSI-RS signal on a non-zero power CSI-RS resource; each second type of CSI is obtained according to channel measurement results of CSI-RS signals on at least two non-zero power CSI-RS resources.
For situation one
The joint CQI at least comprises L1, L1 is a positive integer which is greater than or equal to 1, and the joint CQI is obtained by a CQI obtaining submodule according to CSI-RS signals on two non-zero power CSI-RS resources.
The M1 CSI of the first type include: m11 a-subclasses CSI and M12B-subclasses CSI, the M11+ M12 being M1 and M11 being M12, wherein each a-subclass CSI comprises one or more PMIs for indicating NT1A precoding matrix of v1, each B-subclass CSI including one or more PMIs for indicating NT2A precoding matrix of v2, wherein NT1And NT2The number of antenna ports is positive integers more than 1, v1 and v2 are layers, and are positive integers more than or equal to 1, and the number N of antenna ports corresponding to each A-type CSIT1The same, the number of antenna ports N corresponding to each B-type CSIT2Same, and NT1Greater than NT2。
As shown in fig. 2, the CSI processing module 203 includes a PMI obtaining sub-module 2031, a precoding matrix obtaining sub-module 2032, and a CQI obtaining sub-module 2033.
One implementation process of the CQI obtaining sub-module 2033 for calculating and obtaining the joint CQI according to the two precoding matrices includes:
firstly, the PMI obtaining submodule 2031 obtains the A-subclass CSIjFirst precoding matrix index PMI1 in (1)jThen the precoding matrix obtaining sub-module 2032 obtains the PMI1 according to the PMIjObtaining the first precoding matrix index PMI1jIndicated NT1First precoding matrix W1 of v1j;
Likewise, the PMI obtaining sub-module 2031 further needs to obtain B-subclass CSIjSecond precoding matrix index PMI2 in (1)jThen the precoding matrix obtaining sub-module 2032 obtains the PMI2 according to the PMIjObtaining the second precoding matrix index PMI2jIndicated NT2Second precoding matrix W2 of v2j;
The precoding matrix obtaining submodule 2032 obtains a first precoding matrix W1 according to the first precoding matrix WjAnd a second precoding matrix W2jDetermining an NT3Third precoding matrix W3 of v3j;
Finally, the CQI obtaining sub-module 2033 obtains a CQI based on the third precoding matrix W3jObtaining the joint CQIj。
N is aboveT1、NT2And NT3Is the number of antenna ports, which is a positive integer, NT1、NT2Values greater than 1, NT3=NT1*NT2Or NT3=NT1+NT2Wherein j is a positive integer andclass A CSIjRepresents the jth CSI of the A subclass and the CSI of the B subclassjDenotes the jth CSI, PMI1, of the B subclassjDenotes a jth first precoding matrix index including one precoding matrix index or a pair of precoding matrix indexes, PMI2jRepresents a jth second precoding matrix index, the jth second precoding matrix index comprising onePrecoding matrix index or a pair of precoding matrix indexes, W1jDenotes the jth first precoding matrix, W2jDenotes the jth second precoding matrix, W3jRepresents the jth third precoding matrix, combined CQIjIndicating the jth joint CQI.
Another implementation process of the CQI obtaining sub-module 2033 for calculating and obtaining the joint CQI according to the two precoding matrices includes:
firstly, the PMI obtaining submodule 2031 obtains the A-subclass CSIjFirst precoding matrix index PMI1 in (1)jThen the precoding matrix obtaining sub-module 2032 obtains the PMI1 according to the PMIjObtaining the first precoding matrix index PMI1jIndicated NT1First precoding matrix W1 of v1j;
Likewise, the PMI obtaining sub-module 2031 further needs to obtain B-subclass CSIjSecond precoding matrix index PMI2 in (1)jThen the precoding matrix obtaining sub-module 2032 obtains the PMI2 according to the PMIjObtaining the second precoding matrix index PMI2jIndicated NT2Second precoding matrix W2 of v2j;
The PMI obtaining sub-module 2031 further needs to obtain CSI according to the a subclassjCorresponding non-zero power CSI-RS signal and B-sub-class CSIjMeasuring the corresponding non-zero power CSI-RS signal to obtain a third precoding matrix index PMI3jThen the precoding matrix obtaining sub-module 2032 obtains the PMI3 according to the PMIjObtaining the third precoding matrix index PMI3jIndicated NT3Third precoding matrix W3 of v3j;
The precoding matrix obtaining submodule 2032 obtains a first precoding matrix W1 according to the first precoding matrix WjA second precoding matrix W2jAnd a third precoding matrix W3jDetermining an NT4Fourth precoding matrix W4 of v4j;
Finally, the CQI obtaining sub-module 2033 obtains a CQI based on the fourth precoding matrix W4jObtaining the joint CQIj。
Wherein N isT1、NT2、NT3And NT4The number of the antenna ports is more than or equal to 1 positive integer, wherein NT3=NT1*NT2Or NT3=NT1+NT2J is a positive integer andclass A CSIjRepresents the jth CSI of the A subclass and the CSI of the B subclassjDenotes the jth CSI, PMI1, of the B subclassjDenotes a jth first precoding matrix index including one precoding matrix index or a pair of precoding matrix indexes, PMI2jRepresenting a jth second precoding matrix index comprising a precoding matrix index or a pair of precoding matrix indexes, PMI3jDenotes the jth third precoding matrix index, W1jDenotes the jth first precoding matrix, W2jDenotes the jth second precoding matrix, W3jDenotes the jth third precoding matrix, W4jRepresents the jth third precoding matrix, combined CQIjIndicating the jth joint CQI.
For case two
The joint CQI at least comprises L1, L1 is a positive integer greater than or equal to 1, and the joint CQI is obtained according to a CSI-RS signal on a non-zero power CSI-RS resource.
The CSI comprises M1 first-class CSI, the M1 first-class CSI at least comprises a first-class PMI and a second-class PMI, and one or more first-class PMIs are used for indicating NT1A precoding matrix of v1, one or more second classes of PMIs for indicating NT2A precoding matrix of v2, wherein NT1And NT2The number of antenna ports is a positive integer greater than 1, and NT1Is not equal to NT2V1 and v2 are numbers of layers, and are positive integers of 1 or more.
As shown in fig. 2, the CSI processing module 203 includes a PMI obtaining sub-module 2031, a precoding matrix obtaining sub-module 2032, and a CQI obtaining sub-module 2033.
One implementation process of the CQI obtaining sub-module 2033 for calculating and obtaining the joint CQI according to the two precoding matrices includes:
first, the PMI obtaining submodule 2031 obtains a PMI1 of a first typejThen, the precoding matrix obtaining sub-module 2032 obtains the PMI1 according to the first typejObtaining the PMI1 of the first typejIndicated NT1W1 of the first precoding matrix of v1j;
Likewise, the PMI acquisition submodule 2031 further requires a second type of PMI2jThen, the precoding matrix obtaining sub-module 2032 obtains the second type PMI2 according to the second type PMIjObtaining the PMI2 of the second typejIndicated NT2Second precoding matrix W2 of v2j;
The precoding matrix obtaining submodule 2032 obtains a first precoding matrix W1 according to the first precoding matrix WjAnd a second precoding matrix W2jUniquely determining an NT3Third precoding matrix W3 of v3j;
Finally, the CQI obtaining sub-module 2033 obtains a CQI based on the third precoding matrix W3jObtaining the joint CQIj。
Wherein N isT1、NT2And NT3Is the number of antenna ports, which is a positive integer, NT1、NT2Values greater than 1, NT3=NT1*NT2Or NT3=NT1+NT2J is a positive integer andPMI1 of the first typejRepresenting the jth precoding matrix index of the first class, the jth precoding matrix index comprising a precoding matrix index or a pair of precoding matrix indexes, the second class of PMIs 1jRepresents the jth second-type precoding matrix index, the jth second-type precoding matrix index including a precoding matrix index orA pair of precoding matrix indexes, W1jDenotes the jth first precoding matrix, W2jDenotes the jth second precoding matrix, W3jRepresents the jth third precoding matrix, combined CQIjIndicating the jth joint CQI.
The method of the above embodiment is explained below by way of an application example
Application example 1
In this example, the M1 first-class CSIs further include M11 a-class CSIs and M12B-class CSIs, where M1 ═ M11+ M12, and M11 ═ M12, that is, the number of a-class CSIs and B-class CSIs equal.
Each A-sub-class CSI comprises at least one or more precoding matrix indexes for indicating NT1Precoding matrix of v1, NT1Is a positive integer greater than 1, v1 is a positive integer greater than or equal to 1; n is a radical ofT1Is the number of antenna ports, v1 is the number of layers;
each B-sub-class CSI at least comprises one or more precoding matrix indexes for indicating NT2Precoding matrix of v2, NT2Is the number of transmit antennas or ports; n is a radical ofT2Is the number of antenna ports, v2 is the number of layers;
the one or more precoding matrix indices of the sub-class a indicate codewords of a precoding matrix from a first codebook C1; the one or more precoding matrix indices of the sub-class B indicate codewords of a precoding matrix from a first codebook C2;
the pre-coding matrix of the A subclass represents pre-coding matrix information of a first dimension of the two-dimensional rectangular antenna array; the B-sub-class precoding matrix represents precoding matrix information of a second dimension of the two-dimensional rectangular antenna array, for example: the precoding matrix of the a sub-class represents precoding matrix information in the horizontal direction; the precoding matrix of the sub-class B represents precoding matrix information in the vertical direction;
m2 CSI of the second class comprise a joint CQI, and the joint CQI is obtainedjThe method comprises the following steps:
according to the A subclass CSIjPMI1 ofjN indicated by (one or a pair of PMIs)T1First precoding matrix W1 of v1jClass B CSIjPMI2 ofjN indicated by (one or a pair of PMIs)T2Second precoding matrix W2 of v2jCan uniquely determine an NT3Third precoding matrix W3 of v3jBased on the third precoding matrix W3jThe joint CQI can be obtainedj。
Wherein,without loss of generality, the composition also comprises W1jAnd W2jObtaining W3jThe method of (1).
NT3Is NT1+NT2And NT1*NT2A positive integer of (A), preferably NT3=NT1+NT2Or NT3=NT1*NT2And N isT1、NT2And NT3Is the number of antenna ports.
In addition to reporting the joint CQI, a third precoding matrix W3 can be fed backjThe index of the precoding matrix or other precoding parameters.
Obtaining the joint CQIjThe other method is as follows:
according to the A subclass CSIjPMI1 ofjN indicated by (one or a pair of PMIs)T1First precoding matrix W1 of v1jCSI of subclass BjPMI2 ofjN indicated by (one or a pair of PMIs)T2Second precoding matrix W2 of v2jAnd according to the A subclass CSIjCorresponding non-zero power CSI-RS signal and B-sub-class CSIjPMI3 measured by corresponding non-zero power CSI-RS signaljIndicated NT3Third precoding matrix W3 of v3jCan uniquely determine an NT4Fourth precoding matrix W4 of v4jBased on the fourth precoding matrix W4jThe joint CQI may be obtainedj。
Preferably, the first and second electrodes are formed of a metal,NT3is NT1+NT2And NT1*NT2A positive integer of between preferably NT3=NT1+NT2Or NT3=NT1*NT2,NT1、NT2、NT3And NT4Is the number of antenna ports.
Application example 2
In this example, the M1 first-class CSIs have no subclasses. Each first-class CSI at least comprises two classes of precoding matrix indexes, namely a first-class precoding matrix index and a second-class precoding matrix index, and the first-class precoding matrix index and the second-class precoding matrix index have respective codebooks.
One or more precoding matrix indexes of a first type are used for indicating NT1First precoding matrix of v1, NT1The number of antenna ports is a positive integer greater than 1, and v1 is the number of layers and is a positive integer greater than or equal to 1; the precoding matrix may represent precoding matrix information of a first dimension of the two-dimensional rectangular antenna array; precoding matrix information indicating, for example, a horizontal direction;
one or more precoding matrix indexes of a second type for indicating NT2Second precoding matrix of v2, NT2The number of antenna ports is a positive integer greater than 1, and v2 is the number of layers and is a positive integer greater than or equal to 1; the precoding matrix may represent precoding matrix information for a second dimension of the two-dimensional rectangular antenna array; precoding matrix information indicating, for example, a vertical direction;
obtaining the channel quality indication information CQI of the CSIjThe method comprises the following steps:
according to the first class PMI1j(one isOr a pair of PMIs) indicated NT1W1 of v1jPMI2 of the second typejN indicated by (one or a pair of PMIs)T2W2 of v2jCan uniquely determine an NT3Precoding matrix W3 of v3jBased on the W3jA joint CQI may be obtainedjWherein N isT1、NT2And NT3Is the number of antenna ports, is a positive integer greater than 1, NT3Get NT1+NT2And NT1*NT2A positive integer of (A), preferably NT3=NT1+NT2Or NT3=NT1*NT2。
Preferably, the first and second electrodes are formed of a metal,in addition, other compounds represented by W1 may be usedjAnd W2jObtaining W3jThe method of (1).
Application example 3
Receiving a plurality of CSI-RS signals at a plurality of CSI-RS resources according to the plurality of CSI-RS resources configured by a base station;
and step two, performing channel measurement by taking the antenna group as a unit, and reporting CSI obtained by measurement of each group of antennas, or reporting CSI obtained by measurement of each group of antennas and overall CSI obtained by calculation of the CSI obtained by measurement of each group of antennas, wherein the overall CSI comprises joint CQI.
If the three-dimensional beam forming technology is adopted, channel measurement can be performed by taking the horizontal direction antennas as a group, channel measurement can be performed by taking the vertical direction antennas as a group, and the PMI obtained by horizontal antenna measurement and the PMI obtained by vertical antenna measurement are obtained respectively.
If a large-scale multiple-input multiple-output technology is adopted, channel measurement can be carried out by taking groups as units, and PMI measured by each group of antennas is obtained.
The CSI measured by each group of antennas comprises a plurality of PMIs, and the PMIs corresponding to each group of antennas respectively correspond to different codebooks.
The joint CQI is obtained in the following manner: performing Kronecker product operation on precoding matrixes corresponding to the PMIs measured by each group of antennas to obtain a joint precoding matrix, and obtaining a joint CQI according to the joint precoding matrix; or performing a kronecker product operation on the precoding matrix corresponding to the PMI obtained by each group of antennas through measurement and the precoding matrix corresponding to the PMI obtained through joint measurement (that is, two CSI-RS signals are regarded as one signal) to obtain a joint precoding matrix, and obtaining a joint CQI according to the joint precoding matrix.
In summary, the present application provides a method and an apparatus for processing channel quality information. Through flexible configuration, the terminal can effectively realize the joint transmission technology of multipoint cooperation, so that the performance of a multipoint cooperation system is improved; on the other hand, the calculation accuracy of the channel quality information is improved.
It will be appreciated by those skilled in the art that the components of the apparatus and/or system and steps of the method provided in the embodiments of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and optionally, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or separately fabricated into integrated circuit modules, or multiple modules or steps thereof may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
Although the embodiments of the present invention have been described above, the above descriptions are only for the convenience of understanding the present invention, and are not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (22)
1. A method for processing channel state information, the method comprising:
the method comprises the steps that User Equipment (UE) receives high-level configuration information indicating 1 or 2 channel state-reference signal (CSI-RS) resources from a base station (eNB);
the UE receives a corresponding CSI-RS signal according to the high-level configuration information, and performs channel measurement to obtain a channel measurement result;
and the UE determines and reports Channel State Information (CSI) according to a channel measurement result of the CSI-RS signal, wherein the channel state information at least comprises joint channel quality indication information (CQI), the joint CQI is obtained by calculation according to two precoding matrixes, and the two precoding matrixes are obtained by measurement according to the CSI-RS signal of the base station.
2. The method of claim 1,
the CSI comprises M1 first-class CSI and M2 second-class CSI, M1 is a positive integer larger than or equal to 2, M2 is a positive integer larger than or equal to 1, wherein each first-class CSI is obtained according to a channel measurement result of a CSI-RS signal on a non-zero power CSI-RS resource; each second type of CSI is obtained according to channel measurement results of CSI-RS signals on at least two non-zero power CSI-RS resources.
3. The method of claim 1,
the joint CQI at least comprises L1, L1 is a positive integer greater than or equal to 1, and the joint CQI is obtained according to CSI-RS signals on two non-zero power CSI-RS resources.
4. The method of claim 2,
the M1 first-type CSIs include: m11 a-sub-class CSIs and M12B-sub-class CSIs, the M11+ M12 being M1 and M11 being M12, wherein each a-sub-class CSI comprises one or more precoding matrix indexes, PMIs, indicating NT1A precoding matrix of v1, each B-subclass CSI including one or more PMIs for indicating NT2A precoding matrix of v2, wherein NT1And NT2The number of antenna ports is positive integers more than 1, v1 and v2 are layers, and are positive integers more than or equal to 1, and the number N of antenna ports corresponding to each A-type CSIT1The same, the number of antenna ports N corresponding to each B-type CSIT2Same, and NT1Greater than NT2。
5. The method of claim 1 or 4,
the calculating of the joint CQI according to the two precoding matrices includes:
according to the A subclass CSIjFirst precoding matrix index PMI1 in (1)jIndicated NT1First precoding matrix W1 of v1jAnd B-sub-class CSIjSecond precoding matrix index PMI2 in (1)jIndicated NT2Second precoding matrix W2 of v2jDetermining an NT3Third precoding matrix W3 of v3jBased on the third precoding matrix W3jObtaining the joint CQIjIn which N isT1、NT2And NT3Is the number of antenna ports, which is a positive integer, NT1、NT2Values are more than 1, v1, v2 and v3 are layers which are positive integers more than or equal to 1, and N isT3=NT1*NT2Or NT3=NT1+NT2Wherein j is a positive integer andclass A CSIjRepresents the jth CSI of the A subclass and the CSI of the B subclassjDenotes the jth CSI, PMI1, of the B subclassjRepresenting a jth first precoding matrix index comprising one precoding matrix index or a pair of precoding matrix indexes, PMI2jRepresenting a jth second precoding matrix index comprising one precoding matrix index or a pair of precoding matrix indexes, W1jDenotes the jth first precoding matrix, W2jDenotes the jth second precoding matrix, W3jRepresents the jth third precoding matrix, combined CQIjRepresents a jth joint CQI;
wherein M1 is a positive integer of 2 or more.
6. The method of claim 5,
the precoding matrix of the A-class CSI represents precoding matrix information of a first dimension; the precoding matrix of the B-sub-class CSI represents precoding matrix information of a second dimension.
7. The method of claim 1 or 3,
the calculating of the joint CQI according to the two precoding matrices includes:
according to the A subclass CSIjFirst precoding matrix index PMI1 in (1)jIndicated NT1First precoding matrix W1 of v1jAnd B-sub-class CSIjSecond precoding matrix index PMI2 in (1)jIndicated NT2Second precoding matrix W2 of v2jAnd according to sub-class A CSIjCorresponding non-zero power CSI-RS signal and B-sub-class CSIjThird precoding matrix index PMI3 obtained by measuring corresponding non-zero power CSI-RS signalsjIndicated by NT3Third precoding matrix W3 of v3jDetermining an NT4Fourth precoding matrix W4 of v4jBased on the fourth precoding matrix W4jObtaining the joint CQIjIn which N isT1、NT2、NT3And NT4The number of antenna ports is more than or equal to 1 positive integer, v1, v2, v3 and v4 are layer numbers, are all more than or equal to 1 positive integer, wherein NT3=NT1*NT2Or NT3=NT1+NT2J is a positive integer andclass A CSIjRepresents the jth CSI of the A subclass and the CSI of the B subclassjDenotes the jth CSI, PMI1, of the B subclassjRepresenting a jth first precoding matrix index comprising one precoding matrix index or a pair of precoding matrix indexes, PMI2jRepresenting a jth second precoding matrix index comprising one precoding matrix index or a pair of precoding matrix indexes, PMI3jDenotes the jth third precoding matrix index, W1jRepresents the jth first precoding matrix and,W2jdenotes the jth second precoding matrix, W3jDenotes the jth third precoding matrix, W4jRepresents the jth third precoding matrix, combined CQIjRepresents a jth joint CQI;
wherein M1 is a positive integer of 2 or more.
8. The method of claim 1,
the joint CQI at least comprises L1, L1 is a positive integer greater than or equal to 1, and the joint CQI is obtained according to a CSI-RS signal on a non-zero power CSI-RS resource.
9. The method of claim 1 or 8,
the CSI comprises M1 first-class CSI, the M1 first-class CSI at least comprises a first-class PMI and a second-class PMI, and one or more first-class PMIs are used for indicating NT1A precoding matrix of v1, one or more second classes of PMIs for indicating NT2A precoding matrix of v2, wherein NT1And NT2The number of antenna ports is a positive integer greater than 1, and NT1Is not equal to NT2V1 and v2 are numbers of layers, and are positive integers of 1 or more.
10. The method of claim 9,
the calculating of the joint CQI according to the two precoding matrices includes:
according to the first class PMI1jIndicated NT1First precoding matrix W1 of v1jPMI2 of the second typejIndicated NT2Second precoding matrix W2 of v2jUniquely determining an NT3Third precoding matrix W3 of v3jBased on the third precoding matrix W3jObtaining the joint CQIjWherein N isT1、NT2And NT3Is the number of antenna ports, which is a positive integer, NT1、NT2Value greater than 1V1, v2 and v3 are layers which are positive integers of 1 or more, and NT3=NT1*NT2Or NT3=NT1+NT2J is a positive integer andPMI1 of the first typejRepresenting a jth precoding matrix index of a first type, the jth precoding matrix index comprising a precoding matrix index or a pair of precoding matrix indexes, a second type of PMI1jRepresenting a jth second-type precoding matrix index, the jth second-type precoding matrix index comprising a precoding matrix index or a pair of precoding matrix indexes, W1jDenotes the jth first precoding matrix, W2jDenotes the jth second precoding matrix, W3jRepresents the jth third precoding matrix, combined CQIjRepresents a jth joint CQI;
wherein M1 is a positive integer of 2 or more.
11. The method of claim 10,
the first class of precoding matrix indexes represent precoding matrix information of a first dimension; the second type of precoding matrix index represents precoding matrix information of a second dimension.
12. A channel state information processing device is located in User Equipment (UE) and comprises a configuration information receiving module, a channel measurement module and a CSI processing module, wherein:
the configuration information receiving module is configured to receive high-level configuration information indicating 1 or 2 CSI-RS resources from a base station eNB;
the channel measurement module is used for receiving a corresponding CSI-RS signal according to the high-level configuration information, and performing channel measurement to obtain a channel measurement result;
the CSI processing module is configured to determine and report Channel State Information (CSI) according to a channel measurement result of a CSI-RS signal, where the CSI includes at least joint Channel Quality Indicator (CQI), the joint CQI is calculated according to two precoding matrices, and the two precoding matrices are measured according to the CSI-RS signal of the base station.
13. The apparatus of claim 12,
the CSI comprises M1 first-class CSI and M2 second-class CSI, M1 is a positive integer larger than or equal to 2, M2 is a positive integer larger than or equal to 1, wherein each first-class CSI is obtained according to a channel measurement result of a CSI-RS signal on a non-zero power CSI-RS resource; each second type of CSI is obtained according to channel measurement results of CSI-RS signals on at least two non-zero power CSI-RS resources.
14. The apparatus of claim 12,
the joint CQI at least comprises L1, L1 is a positive integer greater than or equal to 1, and the joint CQI is obtained according to CSI-RS signals on two non-zero power CSI-RS resources.
15. The apparatus of claim 13,
the M1 first-type CSIs include: m11 a-sub-class CSIs and M12B-sub-class CSIs, the M11+ M12 being M1 and M11 being M12, wherein each a-sub-class CSI comprises one or more precoding matrix indexes, PMIs, indicating NT1A precoding matrix of v1, each B-subclass CSI including one or more PMIs for indicating NT2A precoding matrix of v2, wherein NT1And NT2The number of antenna ports is positive integers more than 1, v1 and v2 are layers, and are positive integers more than or equal to 1, and the number N of antenna ports corresponding to each A-type CSIT1The same, the number of antenna ports N corresponding to each B-type CSIT2Same, and NT1Greater than NT2。
16. The apparatus of claim 12 or 15,
the CSI processing module calculates and obtains a joint CQI according to the two precoding matrixes, and the joint CQI comprises the following steps:
the CSI processing module processes CSI according to A subclassjFirst precoding matrix index PMI1 in (1)jIndicated NT1First precoding matrix W1 of v1jAnd B-sub-class CSIjSecond precoding matrix index PMI2 in (1)jIndicated NT2Second precoding matrix W2 of v2jDetermining an NT3Third precoding matrix W3 of v3jBased on the third precoding matrix W3jObtaining the joint CQIjIn which N isT1、NT2And NT3Is the number of antenna ports, which is a positive integer, NT1、NT2Values are more than 1, v1, v2 and v3 are layers which are positive integers more than or equal to 1, and N isT3=NT1*NT2Or NT3=NT1+NT2Wherein j is a positive integer andclass A CSIjRepresents the jth CSI of the A subclass and the CSI of the B subclassjDenotes the jth CSI, PMI1, of the B subclassjRepresenting a jth first precoding matrix index comprising one precoding matrix index or a pair of precoding matrix indexes, PMI2jRepresenting a jth second precoding matrix index comprising one precoding matrix index or a pair of precoding matrix indexes, W1jDenotes the jth first precoding matrix, W2jDenotes the jth second precoding matrix, W3jRepresents the jth third precoding matrix, combined CQIjRepresents a jth joint CQI;
wherein M1 is a positive integer of 2 or more.
17. The apparatus of claim 16,
the precoding matrix of the A-class CSI represents precoding matrix information of a first dimension; the precoding matrix of the B-sub-class CSI represents precoding matrix information of a second dimension.
18. The apparatus of claim 12 or 14,
the CSI processing module calculates and obtains a joint CQI according to the two precoding matrixes, and the joint CQI comprises the following steps:
the CSI processing module processes CSI according to A subclassjFirst precoding matrix index PMI1 in (1)jIndicated NT1First precoding matrix W1 of v1jAnd B-sub-class CSIjSecond precoding matrix index PMI2 in (1)jIndicated NT2Second precoding matrix W2 of v2jAnd according to sub-class A CSIjCorresponding non-zero power CSI-RS signal and B-sub-class CSIjThird precoding matrix index PMI3 obtained by measuring corresponding non-zero power CSI-RS signalsjIndicated by NT3Third precoding matrix W3 of v3jDetermining an NT4Fourth precoding matrix W4 of v4jBased on the fourth precoding matrix W4jObtaining the joint CQIjIn which N isT1、NT2、NT3And NT4The number of antenna ports is more than or equal to 1 positive integer, v1, v2, v3 and v4 are layer numbers, are all more than or equal to 1 positive integer, wherein NT3=NT1*NT2Or NT3=NT1+NT2J is a positive integer andclass A CSIjRepresents the jth CSI of the A subclass and the CSI of the B subclassjDenotes the jth CSI, PMI1, of the B subclassjRepresenting a jth first precoding matrix index comprising one precoding matrix index or a pair of precoding matrix indexes, PMI2jRepresenting a jth second precoding matrix index comprising one precoding matrix index or a pair of precoding matrix indexes, PMI3jDenotes the jth third precoding matrix index, W1jDenotes the jth first precoding matrix, W2jDenotes the jth second precoding matrix, W3jDenotes the jth third precoding matrix, W4jRepresents the jth third precoding matrix, combined CQIjRepresents a jth joint CQI;
wherein M1 is a positive integer of 2 or more.
19. The apparatus of claim 12,
the joint CQI at least comprises L1, L1 is a positive integer greater than or equal to 1, and the joint CQI is obtained according to a CSI-RS signal on a non-zero power CSI-RS resource.
20. The apparatus of claim 12 or 19,
the CSI comprises M1 first-class CSI, the M1 first-class CSI at least comprises a first-class PMI and a second-class PMI, and one or more first-class PMIs are used for indicating NT1A precoding matrix of v1, one or more second classes of PMIs for indicating NT2A precoding matrix of v2, wherein NT1And NT2The number of antenna ports is a positive integer greater than 1, and NT1Is not equal to NT2V1 and v2 are numbers of layers, and are positive integers of 1 or more.
21. The apparatus of claim 20,
the CSI processing module calculates and obtains a joint CQI according to the two precoding matrixes, and the joint CQI comprises the following steps:
the CSI processing module is based on a first type PMI1jIndicated NT1W1 of the v1 first precoding matrixjPMI2 of the second typejIndicated NT2Second precoding matrix W2 of v2jUniquely determining an NT3Third precoding matrix W3 of v3jBased on the third precoding matrix W3jObtaining the joint CQIjWherein N isT1、NT2And NT3Is the number of antenna ports, which is a positive integer, NT1、NT2Values are more than 1, v1, v2 and v3 are layers which are positive integers more than or equal to 1, and N isT3=NT1*NT2Or NT3=NT1+NT2J is a positive integer andPMI1 of the first typejRepresenting a jth precoding matrix index of a first type, the jth precoding matrix index comprising a precoding matrix index or a pair of precoding matrix indexes, a second type of PMI1jRepresenting a jth second-type precoding matrix index, the jth second-type precoding matrix index comprising a precoding matrix index or a pair of precoding matrix indexes, W1jDenotes the jth first precoding matrix, W2jDenotes the jth second precoding matrix, W3jRepresents the jth third precoding matrix, combined CQIjRepresents a jth joint CQI;
wherein M1 is a positive integer of 2 or more.
22. The apparatus of claim 21,
the first class of precoding matrix indexes represent precoding matrix information of a first dimension; the second type of precoding matrix index represents precoding matrix information of a second dimension.
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