Title of Invention

''FEEDBACK AND RATE ADAPTATION FOR MIMO TRANSMISSION IN A TIME DIVISION DUPLEXED (TDD) COMMUNICATION SYSTEM''

Abstract Techniques for sending a MIMO transmission in a wireless communication system are described. In one design, a transmitter sends a first reference signal to a receiver. The receiver selects a precoding matrix based on the first reference signal and in accordance with a selection criterion. The receiver estimates noise and interference at the receiver and determines channel quality indicator (CQI) or modulation and coding scheme (MCS) information based on the precoding matrix and the estimated noise and interference. The receiver sends the CQI or MCS information and a second reference signal to the transmitter. The transmitter selects the precoding matrix based on the second reference signal and in accordance with the same selection criterion used by the receiver. The transmitter then sends a MIMO transmission to the receiver based on the CQI or MCS information obtained from the receiver and the precoding matrix selected by the transmitter.
Full Text FEEDBACK AND RATE ADAPTATION FOR MIMO
TRANSMISSION IN A TIME DIVISION DUPLEXED (TDD)
COMMUNICATION SYSTEM
[0001] The present application claims priority to provisional U.S. Application Serial No. 60/955,622, entitled "METHODS AND APPARATUSES FOR FEEDBACK MECHANISM AND RATE ADAPTATION FOR TIME DIVISION DUPLEX (TDD) MIMO SYSTEMS," filed August 13, 2007, assigned to the assignee hereof and incorporated herein by reference.
BACKGROUND
I. Field
[0002] The present disclosure relates generally to communication, and more
specifically to techniques for transmitting and receiving data in a wireless
communication system. -
II. Background
[0003] In a wireless communication system, a transmitter may utilize multiple (T) transmit anteimas for data transmission to a receiver equipped with multiple (R) receive antennas. The multiple transmit and receive anteimas form a multiple-input multiple-output (MIMO) channel that may be used to increase throughput and/or improve reliability. For example, the transmitter may transmit up to T symbol streams simultaneously from the T transmit antennas to improve throughput. Alternatively, the transmitter may transmit a single symbol stream from all T transmit anteimas to improve reception by the receiver.
[0004] To achieve good performance, the receiver may estimate the MIMO channel response and determine a precoding matrix to use for a MIMO transmission. The receiver may also determine a channel quality indicator (CQI) or a modulation and coding scheme (MCS) for each symbol stream sent m the MIMO transmission. The receiver may send feedback information to the transmitter. This feedback information may include the precoding matrix as well as the CQI or MCS for each symbol stream. The feedback information is usefiil to the transmitter but represents oveibead. It is

desirable to reduce the amount of feedback information to send for the MIMO transmission.
SUMMARY
[0005] Techniques for sending a MIMO transmission with less feedback overhead in a wireless communication system are described herein. In an aspect, feedback overhead may be reduced by having both a transmitter and a receiver determine a precoding matrix to use for a MIMO transmission. This may be achieved by exploiting chamiel reciprocity due to time division duplexing in the system. [0006] In one design, a transmitter may send a first reference signal or pilot to a receiver. The receiver may select a precoding matrix based on the first reference signal and in accordance with a selection criterion. In one design, the receiver may obtain a MIMO chamiel matrix based on the first reference signal and may obtain a beamforming matrix based on (e.g., by performing singular value decomposition of) the MIMO channel matrix. The receiver may then select the precoding matrix firom a cddebook of precoding matrices based on the beamfomung matrix and in accordance with the selection criterion, e.g., the closest distance between the beamforming matrix and the precoding matrix. The receiver may estimate noise and interference at the receiver. The receiver may determine the number of symbol streams (S) to send and CQI or MCS information for the S symbol streams based on the precoding matrix, the estimated noise and interference, and possibly other information. The receiver may send the CQI or MCS information and a second reference signal or pilot to the transmitter.
[0007] The transmitter may select the precoding matrix based on the second reference signal and in accordance with the same selection criterion used by the receiver. The transmitter may then send a MIMO transmission to the receiver based on the CQI or MCS information obtained fi-om the receiver and the precoding matrix selected by the transmitter. The transmitter may encode and modulate S symbol streams in accordance with the CQI or MCS information and may perform precoding for these symbol streams based on the precoding matrix.
[0008] The techniques described herein may be used for MIMO transmission on the downlink as well as the uplink. Various aspects and features of the disclosure are described in further detail below.

BRIEF DESCRIPTION OF THE DRAWINGS
[0009] FIG. 1 shows a wireless communication system.
[0010] FIG. 2 shows an example frame structure.
[0011] FIG. 3 shows a transmitter and a receiver for a MIMO transmission.
[0012] FIG, 4 shows a process for sending a MIMO transmission.
[0013] FIG. 5 shows an apparatus for sending a MIMO transmission.
[0014] FIG. 6 shows a process for receiving a MIMO transmission.
[0015] FIG. 7 shows an apparatus for receiving a MIMO transmission.
[0016] FIG. 8 shows a block diagram of a Node B and a UE.
DETAILED DESCRIPTION
[0017] The techniques described herein may be used for various wireless communication systems such as Code Division Multiple Access (CDMA) systems, Time Division Multiple Access (TDMA) systems. Frequency Division Multiple Access (FDMA) systems. Orthogonal FDMA (OFDMA) systems, Single-Carrier FDMA (SC-FDMA) systems, and other systems. The terms "system" and "network" are often used interchangeably. A CDMA system may implement a radio technology such as Universal Terrestrial Radio Access (UTRA), cdma2000, etc. UTRA includes Wideband CDMA (WCDMA) and other variants of CDMA. cdma2000 covers IS-2000, IS-95 and IS-856 standards. A TDMA system may implement a radio technology such as Global System for Mobile Communications (GSM). An OFDMA system may implement a radio technology such as Evolved UTRA (E-UTRA), Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), IEEE 802.20, Flash-OFDM®, etc. UTRA and E-UTRA are part of Universal Mobile Telecommunication System (UMTS). 3GPP Long Term Evolution (LTE) is an upcoming release of UMTS that uses E-UTRA, which employs OFDMA on the downlmk and SC-FDMA on the uplink. UTRA E-UTRA, UMTS, LTE and GSM are described in documents firom an organization named "3rd Generation Partnership Project" (3GPP). cdma2000 and UMB are described in documents from an organization named "3rd Generation Partnership Project 2" (3GPP2). For clarity, certain aspects of the techniqiws are described below for data transmissiiMi m LTE, and LTE tenninol
[0018] FIG. 1 shows a wireless communication system 100, which may be an LTE system. System 100 may include a number of Node Bs 110 and other network entities. A Node B may be a fixed station that communicates with the UEs and may also be referred to as an evolved Node B (eNB), a base station, an access point, etc. Each Node B 110 provides communication coverage for a particular geographic area. The overall coverage area of a Node B may be partitioned into multiple (e.g., three) smaller areas. Each smaller area may be served by a respective Node B subsystem. In 3GPP, the term "cell" can refer to the smallest coverage area of a Node B and/or a Node B subsystem serving this coverage area.
[0019] UEs 120 may be dispersed throughout the system, and each UE may be stationary or mobile. A UE may also be referred to as a mobile station, a terminal, an access terminal, a subscriber unit, a station, etc. A UE may be a cellular phone, a personal digital assistant (PDA), a wireless modem, a wireless communication device, a handheld device, a l£top computer, a cordless phone, etc. A UE may communicate with a Node B via the downlink and uplink. The downlink (or forward link) refers to the commimication link fi-om the Node B to the UE, and the uplink (or reverse link) refers to the communication link fi:om the UE to the Node B.
[0020] The system may utilize time division duplexing (TDD). For TDD, the downlink and uplink may share the same frequency channel, and a downlink channel response may be correlated with an uplink chaimel response.
[0021] FIG. 2 shows an example frame structure 200 that may be used for TDD in LTE. The transmission timeline may be partitioned into units of radio frames. Each radio frame may have a predetermined duration (e.g., 10 milliseconds (ms)) and may be partitioned into 10 subframes with mdices of 0 through 9. LTE supports multiple downlink-uplink configurations. Subframes 0 and S may be used for the downlink (DL) and subframe 2 may be used for the uplmk (UL) for all downlink-uplink configurations. Subframes 3, 4, 7, 8 and 9 may each be used for the downlink or uplink depending on the downlink-uplink configuration. Subfirame 1 may include three special fields composed of a Downlink Pilot Time Slot (DwPTS) used for downlink control channels as well as data transmissions, a Guard Period (GP) of no transmission, and an Uplink Pilot Time Slot (UpPTS) used for either a random access channel (RACH) or sounding reference signals (SRS). Subframe 6 may inclxide
DwPTS, GP and UpPTS may have different durations for different subframe configurations.
[0022] Each subframe that is not used for the special fields may be partitioned into two slots. Each slot may include L symbol periods, e.g., L = 6 symbol p«iods for an extended cyclic prefix or L = 7 symbol periods for a normal cyclic prefix. Frame structure 200 is described in 3GPP TS 36.211, entitled "Evolved Universal Terrestrial Radio Access (E-UTRA); Physical Channels and Modulation," which is publicly available.
[0023] LTE utilizes orthogonal fi«quency division multiplexmg (OFDM) on the downlink and single-carrier frequency division multiplexing (SC-FDM) on the uplink. OFDM and SC-FDM partition the system bandwidth into multiple (K) orthogonal subcarriers, which are also commonly referred to as tones, bins, etc. Each subcarrier may be modulated with data. In general, modulation symbols are sent in the fiquency domain with OFDM and in the time domam with SC-FDM. The spacing between adjacent subcarriers may be fixed, and the total number of subcarriers (K) may be dependent on the system bandwidth. For example, K may be equal to 128, 256, 512, 1024 or 2048 for system bandwidtii of 1.25,2.5,5,10 or 20 MHz, respectively. [0024] The K total subcarrio may be grouped into resource blocks. Each resource block may include N subcarriers (e.g., N = 12 subcarriers) in one slot. The available resource blocks may be assigned to the UEs for transmission of data and control information. The K total subcarriers may also be partitioned into subbands. Each subband may include 72 subcarriers in 6 resource blocks covering 1.08 MHz. [0025] A Node B may periodically transmit a downlink reference signal, which may be a cell-specific reference signal for all UEs within a cell of the Node B or a UE-specific reference signal for a specific UE. A UE may be configured to periodically transmit a sounding reference signal to the Node B. A reference signal is a signal that is known a priori by both a transmitter and a receiver. A reference signal may also be referred to as pilot, preamble, sounding, training, etc. A Node B may transmit a downlink reference signal across all or part of the system bandwidth. A UE may use the downlink reference signal for channel estimation to estimate the downlink channel response and downlink channel quality for the Node B. The UE may transmit a sounding reference signal on a subband in a subframe. The UE may cycle through all subbands and transmit the sounding reference signal on different subbands m different

subframes. The Node B may use the sounding reference signal for channel estimation to estimate the uplink channel response and uplink channel quality for the UE. The downlink reference signal and the sounding reference signal may be generated and transmitted as described in the aforementioned 3GPP TS 36.211. Other reference signals and pilots may also be transmitted on the downlink and uplink to support channel estimation.
[0026] A transmitter may send a MIMO transmission to a receiver. The receiver may estimate the MIMO channel response and determine a precoding matrix to use for the MIMO transmission. The receiver may also perform rank selection and determine the rank or number of symbol streams (S) to send for the MIMO transmission, where 1 S min {T, R}, T is the niunber of antemias at the transmitter, and R is the number of antennas at the receiver. The receiver may also perform rate selection and determine a CQI or an MCS for each symbol stream. CQI and MCS may provide equivalent information and may be used to select a coding scheme or code rate as well as a modulation scheme for a symbol stream to achieve a desired reliability, e.g., a target packet error rate (PER). The receiver may send feedback information comprising the precoding matrix and a CQI/MCS value for each symbol stream. The rank may be implicitly provided by the dimension of the precoding matrix or by the number of CQI/MCS values sent by the receiver. The transmitter may process (e.g., encode and modulate) each symbol stream m accordance with the CQI/MCS value for that symbol stream. The transmitter may fiirther perform precoding for aU S symbol streams based on the precoding matrix and may then send a MIMO transmission comprising the S preceded symbol streams to the receiver. Feedback overhead may be high to send both the precoding matrix and the CQI/MCS value for each symbol stream. [0027] In an aspect, feedback overhead for a MIMO transmission in a TDD system may be reduced by having both the transmitter and receiver determine the precoding matrix to use for the MIMO transmission. This may be achieved by exploiting reciprocity of the MIMO channel in the TDD system, as described below. Tie receiver may determine the CQI/MCS value for each symbol stream based on the selected precoding matrix and the noise and interference estimated by the receiver. ITie receiver may send feedback information comprising only a CQI/MCS value for each symbol stream. Feedback overhead may be reduced by not sending the precodmg matrix.

[0028] FIG. 3 shows a design of processing for a MIMO transmission from a transmitter 310 to a receiver 320 with reduced feedback overhead. For MIMO transmission on the downlink, transmitter 310 may be a Node B and receiver 320 may be a UE. For MIMO transmission on the uplink, transmitter 310 may be a UE and receiver 320 may be a Node B. The MIMO transmission may be sent on multiple subcarriers, and the processing at transmitter 310 and receiver 320 may be repeated for each subcarrier. For simplicity, much of the description below is for one subcarrier. [0029] Transmitter 310 may send a first reference signal via all T antennas at the transmitter (step 1). The first reference signal may be a downlink reference signal if transmitter 310 is a Node B or a sounding reference signal if transmitter 310 is a UE. Receiver 320 may receive the first reference signal via all R antennas at tiie receiver. Receiver 320 may estimate the response of the MIMO chaimel from transmitter 310 to receiver 320 based on the first reference signal (step 2). Receiver 320 may obtain an R X T MIMO channel matrix H, which may be expressed as:

transmitter 310 and antenna i at receiver 320.
[0030] Transmitter 310 may transmit data on multiple subcarriers in xme or more
resource blocks. Receiver 320 may obtain a MIMO channel matrix for each subcarrier
of interest, e.g., each subcarrier usable for data transmission. Receiver 320 may also
estimate the noise and interference at the receiver (e.g., for each resource block usable
for daKsi transmission) based on the first reference signal a]»l/or other received symbols
(step 3).
[0031] Receiver 320 may select a precodmg matrix W based on the MJMO channel
matrix H and in accordance with a selection criterion (step 4). In one design, receiver
320 may diagonalize the MIMO channel matrix with singular value decomposition, as
follows:



[0032] A unitary matrix has columns that are orthogonal to one another, and each column has unit power. A diagonal matrix has possible non-zero values along the diagonal and zeros elsewhere. Matrix V may also be referred to as a beamforming matrix. Receiver 320 may also obtain the beamforming matrix V by performing eigenvalue decomposition of a covariance matrix of H. The eigenvalue decomposition

[0033] Transmitter 310 may perform precoding with the beamforming matrix V in order to transmit data on the eigenmodes of H. The eigenmodes may be viewed as orthogonal spatial channels. The singular values in £ are indicative of the cluinnel gains of the eigerraiodes of H. The number of eigenmodes (M) may be given as M min {T, R}. Transmitter 310 may transmit up to M symbol streams on up to M eigenmodes using up to M columns of the beamforming matrix V. Good poformance may be achieved by transmitting data on the eigenmodes of H. [0034] A set of precoding matrices may be supported and may be referred to as a codebook. In one design, a precoding matrix in the codebook that is closest to the beamforming matrix V may be selected. A distance metric may be computed for each precoding matrix in the cookbook, as follows:

i-th row andy-th column of matrix V, Wj is the (/,y) -th element of the -th precoding matrix in the cookbook, and
£) [0035] The design in equation (3) assumes that receiver 320 obtained one MIMO channel matrix. Ifreceiv 320 obtained multiple MIMO channel matrices for multiple


[0036] The distance metric in equation (3) may be indicative of the distance between the beamforming matrix V and a preceding matrix in the cookbook. The distance metric may be computed for each preceding matrix in the coold)ook. The preceding matrix with the smallest distance metric among ail preceding matrices in the cookbook may be selected. The selected preceding matrix W may be the closest approximation of the beamforming matrix V.
[0037] In the design described above, receiver 320 may select a preceding matrix based on the selection criterion of the selected preceding matrix being closest to the beamforming matrix among all preceding matrices in the cedebook. In another design, receiver 320 may select a preceding matrix based on the MMO channel matrix in accordance with a pseudo eigen-beamforming technique described in commonly assigned U.S. Patent Application Serial No. 11/317,413, entitled "PSEUDO EIGEN-BEAMFORMING WITH DYNAMIC BEAM SELECTION," filed December 22,2005. Receiver 320 may also select a preceding matrix based on some ether selection criterion.
[0038] Receiver 320 may select a preceding matrix based solely on the MIMO channel matrix H, as described above. Receiver 320 may also select a preceding matrix based en ether information such as a noise covariance matrix.
[0039] Receiver 320 may determine the number of symbol streams to send and a CQI/MCS value for each symbol stream based on the selected preceding matrix W, the MIMO channel matrix H, the estimated noise and interference, and the available transmit power (step S). Each symbol stream may be sent on one layer. Each layer may correspond to an eigenmede of H if the select preceding matrix W resembles the beamforming matrix V. Receiver 320 may hypothesize that transmitter 310 will transmit data using the selected precodmg matrix W. The received symbols at receiver 320 may then be expressed as:


Hgff =HWG isanRxT effective MIMO channel observed by the data symbols, r is an R X1 vector of received symbols, and n is an R X1 vector of noise and interference.
[0040] The noise and interference may have a covariance matrix of

be assumed to be additive white Gaussian noise (AWGN) with a zero mean vector and a covariance matrix of R = cr I, where er is the variance of the noise and interference. Receiver 320 may estimate the noise and interference based on the first reference signal and/or other received symbols. Receiver 320 may average the noise and interference measurements over a suitable time period to obtain the noise variance or the noise covariance matrix.
[0041] Receiver 320 may perform MIMO detection based on minimum mean square error (MMSE), zero-forcmg, MMSE with successive mterference cancellation, or some other MIMO detection technique. For MMSE, receiver 320 may derive a TxR detection matrix M, as follows:

whore d is a T X1 vector of symbol estimates and is an estimate of data vector d sent by tnuismitter 310. If data is transmitted on multiple subcarriers, then receiver 320 may derive a detection matrix M() for each subcarrier k based on a MIMO clumnel matrix H(A:) for that subcarrier and the selected precoding matrix W. Receiver 320 may then perform MIMO detection for each subcarrier k based on the detection matrix M() for that subcarrier.
[0043] Receiver 320 may determine a signal-to-and-noise-and-interfin'ence ratio (SINR) for each layer, as follows:


where z, is the 5-th diagonal element of matrix Z and SINRj is the SINK of layer s. [0044] The SINR of each layer may be dependent on the MIMO detection technique used by receiver 320. Different MIMO detection techniques may be associated with different equations for computing SINR. If data is transmitted on multiple subcarriers, then receiver 320 may determine the SINR of each layer s for each subcarrier k based on matrix Zj(k) for that subcarrier.
[0045] Receiver 320 may perform rank selection to select one or more layers to use for data transmission. Receiver 320 may evaluate each possible combination of layers that can be used for data transmission. For a given layer combination oit hypothesis, receiver 320 may allocate the available transmit power of Pwaii to the S layers in that combination based on uniform power allocation, so that P, =P,vui/S may be allocated
to each layer. The power allocation may also be based on water-filling or some other technique. The available transmit power may be dependent on the differeoce between the transmit power for the downlink and the transmit power for the uplink. This power difference may be known or ascertainable by both transmitter 310 and receiver 320. The available transmit power may be given by a difference between the transmit power for data (which may be reflected in the gain matrix G) and the transmit power for the first reference signal (which may be reflected in the MIMO channel matrix H). In any case, receiver 320 may determine the gain matrix G based on the tralismit power allocated to the S layers. The gain matrix G may include a non-zero gJEun for each selected layer and a zero gain for each unselected layer. Receiver 3210 may then determine the effective MIMO channel matrix Heer based on the MIMO channel matrix H, the precoding matrix W, and the gain matrix G. Receiver 320 may determine the SINRs of the S layers based on the effective MIMO channel matrix Heff and the noise covariance matrix , as described above. Receiver 320 may compute a mlc such as overall throughput based on the SINRs of the S layers for the current hypothesis. [0046] Receiver 320 may repeat the computation described above for each possible combination of layers and may obtain an overall throughput for each combination. Receiver 320 may select the combination of layers with the highest overall throughput. Receiver 320 may convert the SINR of each layer in the selected combination to a CQI value baaed on a predetermined mapping. Alternatively, receiver 320 may select an

MCS value for each layer based on the SINR of that layer using a predetermined mapping. Receiver 320 may obtain S CQI values or S MCS values for the S layers in the selected combination. These S CQI/MCS values may reflect both tiie selected precoding matrix W and the estimated noise and interference at receiver 320. Receiver 320 may send CQI/MCS information comprising the S CQI/MCS values for tiie S layers to transmitter 310 (step 6).
[0047] Receiver 320 may also send a second reference signal via all R antennas at the reiver (step 7). The second reference signal may be a sounding reference signal if receiver 320 is a UE or a downlink reference signal if receiver 320 is a Node B. [0048] Transmitter 310 may receive the second reference signal via all T antennas at the transmitter. Transmitter 310 may estimate the response of the MIMO channel from receiver 320 to transmitter 310 based on the second reference signal (step 8). For a TDD system, the MIMO channel from receiver 320 to transmitter 310 may be assumed to be reciprocal of the MIMO channel from transmitter 310 to receiver 320. The MIMO channel matrix obtained by transmitter 310 may be given as H, y/hete " " denotes a transpose.
[0049] An overall MIMO channel from transmitter 310 to receiver 320 may be composed of the transmit chains for the T antmnas at transmitter 310, the MIMO channel, and the receive chains for the R antennas at receiver 320. An overall MIMO channel from receiver 320 to transmitter 310 may be composed of the transmit chains for the R antennas at receiver 320, the MIMO channel, and the receive chains for the T antennas at transmitter 310. The responses of the transmit and receive chains at transmitter 310 may not match the responses of the transmit and receive chains at receiver 320. Calibration may be performed to determine a calibration matrix that may be applied (e.g., at transmitter 310) to account for the differences between the responses of the transmit and receive chains at transmitter 310 and receive: 320. Calibration may be poformed as described in commonly assigned U.S. Patent Applicati(Hi Serial No. 10/693,169, entitled "CHANNEL CALIBRATION FOR A TIME DIVISION DUPLEXED COMMUNICATION SYSTEM," filed October 23, 2003. With the calibration matrix applied, the overall MIMO chomel from transmitter 310 to receiver 320 may be assumed to be reciprocal of the overall MIMO channel frt}m rwpeiver 320 to transmitter 310. For simplicity, the following description assumes that the transmit and receive chams have flat responses and that the calibration matrix is an idmtity matrix.

Transmitter 310 may use the transpose of the MIMO channel matrix H obtained by transmitter 310 as an estimate of the MIMO chaimel matrix H obtained by receiver 320. [0050] Transmitter 310 may select a precoding matrix W based on the MIMO channel matrix H obtained by transmitter 310 and in accordance with the same selection criterion used by receiver 320 (step 9). For the design described above, transmitter 310 may perform singular value decomposition of the MIMO channel matrix H to obtain the beamforming matrix V, as shown in equation (2). Transmitter 310 may then select the precoding matrix W based on the selection criterion of the selected precoding matrix W being closest to the beamforming matrix V among all precoding matrices in the codebook, as described above. Transmitter 310 and receiver 320 may be able to select the same precoding matrix W due to (i) the MIMO channel matrix obtained by transmitter 310 resembling the MIMO channel matrix obtained by receiver 320 due to chaimel reciprocity and (ii) the same selection criterion being used by both transmitter 310 and receiver 320.
[0051] The received symbols for MIMO transmissions on the downlink and uplink may be expressed as:

where HDL and HUL are MIMO chaimel matrices for the downlink and uplink, respectively, XDL and XUL are vectors of transmitted symbols for the downlink and uplink, roL and FUL are vectors of received symbols for the downlink and uplink, and ODL and nuL are vectors of noise and interference for the downlink and uplink.
[0052] For a TDD system,, the MIMO channel matrix obtained by transmitter 310 may be reciprocal of the MIMO channel matrix ohtgdocd by receiver 320. This reciprocity may result in HDL = HUL in equation set (8). However, the noise and interference observed by receiver 320 may not match the noise and interference observed by transmitter 310. This may result in DDL being different finm OUL in equation set (8). In one design, the difference in noise and interference may be accounted for by having receiver 320 determine the CQI/MCS value for each layer based on the noise and interference observed by receiva* 320. Furthermore, receiver 320 may determine the CQI/MCS value for each layer based on the MIMO detection

technique used by receiver 320, which may be unknown to transmitter 3iO. For this design, transmitter 310 may use the CQI/MCS value provided by receiver 320 for each layer. In another design, receiver 320 may send to transmitter 310 information indicative of the noise and interference observed by receiver 320. This information may comprise the noise variance (T, the noise covariance matrix Rnn> or some other information. Transmitter 310 may then determine the CQI/MCS value for each layer based on the information received from receiver 320. In yet another design, receiver 320 may send to transmitter 310 information indicative of the difference between the noise and interference observed by receiver 320 and the noise and interference observed by transmitter 310. This mformation may comprise CQI, MCS, noise variance, or some other information that can be used by transmitter 310 to compare against corresponding CQI, MCS, noise variance, etc., obtained by transmitter 310. Transmitter 310 may then determine the CQI/MCS value for each layer based on the noise and interference observed by transmitter 310 and the information received from receiver 320. For clarity, the following description assumes the design in which receiver 320 sends CQI/MCS information to transmitter 310.
[0053] Transmitter 310 may send S symbol streams on S layers and may process (e.g., encode and modulate) each symbol stream based on the CQI/MCS value for that symbol stream (step 10). In one design, transmitter 310 may process the S symbol streams based directly on the CQI/MCS values obtained from receiver 320. In another design, transmitter 310 may adjust the CQI/MCS valuw, e.g., to account for any difference betvwen the transmit power assumed by receiver 320 in determining the CQI/MCS values and the transmit power actually used by transmitter 310. Transmitter 310 may then process the S symbol streams based on the adjusted CQI/MCS values. [0054] Transmitter 310 may scale the S symbol streams based on the transmit power used for these symbol streams. Transmitter 310 may also perform precodli for the S symbol streams based on the precoding matrix W selected by transmitter 310 (also step 10). The symbol scaling and precoding may be expressed as:

where x is a Txl vector of transmitted symbols. Transmitter 310 may then send a MIMO transmission comprising the S symbol streams to receive: 320 (also step 10).

[0055] The techniques described herein may be used for MIMO transmissions on the downlink as well as the uplink. In one design of MIMO transmission on the downlink, a Node B may transmit a downlink reference signal or a common pilot via T antennas at the Node B (step 1). A UE may estimate the downlink MIMO chaimel response based on the downlink ref(»-ence signal or common pilot and may obtain a downlink MIMO channel matrix HDL (step 2). The UE may also estimate the noise and interference observed by the UE (step 3). The UE may select a precoding matrix W based on the downlink MIMO channel matrix and in accordance with a selection criterion, e.g., the closest distance to a beamforming matrix VDL obtained from the downlink MIMO channel matrix (step 4). The UE may determine S CQI values for S symbol streams based on the selected precoding matrix W and the estimated noise and interference and with consideration of the transmit power difference for the downlink and uplink (step 5). The UE may send the S CQI values to the Node B (step 6). [0056] The UE may also send a sounding reference signal or pilot via the R antennas at the UE (step 7). The Node B may estimate the uplink MIMO channel response based on the sounding reference signal or pilot and may obtain an uplink MIMO channel matrix HUL (step 8). The Node B may obtain a downlink MIMO chanittl matrix HDL &om the uplink MIMO channel matrix HUL by assuming channel reciprocity. The Node B may then select the precoding matrix W based on the downlink MIMO channel matrix and in accordance with same selection criterion used by the UE (step 9). The Node B may determine S MGS values for S symbol streams based on the S CQI values received from the UE. The Node B may then process the S symbol streams based on the S MCS values and may perform precoding for the S symbol streams based on the selected precoding matrix W (step 10). The Node B may then send a MIMO transmission comprising the S symbol streams to the UE. [0057] In one design of MIMO transmission on the upUnk, a UE may transmit a sounding reference signal or pilot via R antennas at the UE (step 1). A Node B may estimate the uplink MIMO channel response based on t} sounding reference signal or pilot and may obtain an uplink MEMO channel matrix HUL (step 2). The Node B may also estimate the noise and interference observed by the Node B (step 3). The Node B may select a precoding matrix W based on the uplink MIMO channel matrix and in accordance with a selection criterion, e.g., the closest distance to a beamfolming matrix VUL obtained from the uplink MIMO channel matrix (stq> 4). The Node B may

determine S MCS values for S symbol streams based on the selected preceding matrix W and the estimated noise and interference and with consideration of tiie transmit power difference for the downlink and uplink (step 5). The Node B may send the S MCS values to the UE (step 6).
[0058] The Node B may also send a downlink reference signal or comnK>n pilot via the T antennas at the Node B (step 7). The UE may estimate the downlink MIMO channel response based on the downlink reference signal or common pilot and may obtain a downlink MIMO channel matrix HDL (step 8). The UE may obtain an uplink MIMO channel matrix HUL from the downlink MIMO channel matrix HDL by assuming channel reciprocity. The UE may then select the preceding matrix W based on the uplink MIMO channel matrix and in accordance with same selection criterion used by the Node B (step 9). The UE may process S symbol streams based on the S MCS values received from the Node B and may perform preceding for the S symbol streams based on the selected preceding matrix W (step 10). The UE may then send a MIMO transmission comprising the S symbol streams to the Node B. [0059] The techniques described herein may provide certain advantages. The techniques exploit channel reciprocity to reduce feedback to just the CQI/MCS valiMs. The Node B and the UE may both select the preceding matrix based on their estimated MIMO chatmel responses and using the same selection criterion. Hence, ambiguity in the selection of the preceding matrix and feedback of the precodii matrix may both be avoided. The CQI/MCS values may be determined based on the selected preceding matrix as well as the estimated noise and interference at the receiver. The CQI/MCS values may thus be able to account for any differences between the noise and interference at the Node B and the UE. Any differences between the downlink transmit power and the uplink transmit power may be accounted for in the determination of the CQI/MCS values at the receiver or may be adjusted at the transmitter. The downlink reference signal from the Node B and the sounding reference sipal from the UE may be used to support MIMO transmissions on both the downlink and tiie uplink. [0060] FIG. 4 shows a design of a process 400 for sending a MIMO transmission in a wireless communication systrai. Process 400 may be performed by a transmitter, which may be a Node B for MIMO transmission on tiie downlink or a UE for MIMO transmission en the uplink. The transmitter may send a first reference signal to a receiver (block 412). The transmitter may receive CQI or MCS information from the

receiver (block 414) and may also receive a second reference signal from the receiver (block 416). The transmitter may select a precoding matrix based on the second reference signal and in accordance with a selection criterion (block 418). The receiver may also select the precoding matrix based on the first reference signal in accordance with the same selection criterion used by the transmitter. The receiver may determine the CQI or MCS information based on the precoding matrix and estimated noise and interference at the receiver.
[0061] In one design of block 418, the transmitter may obtain a MIMO channel matrix based on the second reference signal. The transmitter may obtain a beamforming matrix based on the MIMO channel matrix, e.g., using singular or eigenvalue decomposition. The transmitter may then select the precoding matrix from a codebook of precoding matrices based on the beamforming matrix and in accordance with the selection criterion, which may be the closest distance between the beamforming matrix and the precoding matrix. The precoding matrix may be determined by the transmitter and thus not sent by the receiver, which may reduce feedback overhead. [0062] The transmitter may send a MIMO transmission to the receiver based on the CQI or MCS information and the precoding matrix (block 420). In one design, the transmitter may obtain S CQI values or S MCS values for S symbol streams from the CQI or MCS information, \vbsTe S may be one or greater. The transmitter may adjust the S CQI or MCS values, e.g., to accoimt for difference m the transmit power used by the receiver to determine the CQI or MCS information and the transmit power used by the transmitter for the MIMO transmission. The transmitter may encode and modulate the S symbol streams in accordance with the S CQI or MCS values. The transmitter may also perform precoding for S symbol streams based on S columns of the precoding matrix. In general, the precoding matrix may have one or more columns used for precoding. The precoding matrix may be referred to as a precodii vector if only one column is used for precoding.
[0063] FIG. 5 shows a design of an apparattis 500 for sending a MIMO transmission in a wireless communication system. Apparatus SOO includes a module 512 to send a first reference signal from a transmitter to a receiver, a module 514 to receive CQI or MCS information from the receiver, a module 516 to receive a second reference signal from the receiver, a module 518 to select a precoding matjnx based on the second reference signal and in accordaiK:e with a selection criterion also used by the

receiver to select the preceding matrix, and a module 520 to send a MIMO transmission to the receiver based on the CQI or MCS information and the preceding matrix. [0064] FIG. 6 shows a design of a process 600 for receiving a MIMO transmission in a wireless communication system. Process 600 may be performed by a receiver, which may be a UE for MIMO transmission on the downlink or a Node B for MIMO transmission on the uplink. The receiver may receive a first reference signal fkim a transmitter (block 612). The receiver may select a preceding matrix based on the first reference signal and in accordance with a selection criterion also used by the transmitter to select the preceding matrix (block 614). In one design of block 614, the receiver may obtain a MIMO channel matrix based on the first reference signal. The receiver may obtain a beamforming matrix based on the MIMO channel matrix, e.g., using singular or eigenvalue decomposition. The receiver may then select the preceding matrix fi-om a codebook of preceding matrices based on the beamforming matrix and in accordance with the selection criterion, which may be the closest distance between the beamforming matrix and the preceding matrix.
[0065] The receiver may estimate noise and interference at the receiver (block 616). The receiver may determine the number of symbol streams to transmit and CQI or MCS information for the symbol streams based on the preceding matrix, the estimated noise and interference, and possibly ether information such as the difference between the downlink transmit power and the uplink transmit power (block 618). The receiver may send the CQI or MCS information to the transmitter (block 620) and may also send a second reference signal to the transmitter (block 622). The receiver may receive a MIMO transmission sent by the transmitter based on the CQI or MCS information and the jwecoding matrix (block 624). The preceding matrix may be selected by the transmitter based en the second reference signal and in accordance with the same selection criterion used by the receiver.
[0066] The receiver may derive a detection matrix based on the MIMO channel matrix and the preceding matrix (block 626). The receiver may perlcam MIMO detection for the received MIMO transmission based on the detection matrix (block 628). The receiver may further demodulate and decode the S symbol streams in the received MIMO transmission in accordance with S CQI values or S MCS values firom the CQI or MCS information (block 630).

[0067] In FIGS. 4 and 6, the MIMO transmission may be sent on the downlink. In this case, the transmitter may be part of a Node B, the receiver may be part of a UE, the first reference signal may comprise a downlink reference signal, and the second reference signal may comprise a sounding reference sigml. The MIMO transmission may also be sent on the uplink. In this case, the transmitter may be part of a UE, the receiver may be part of a Node B, the first reference signal may comprise a sounding reference signal, and the second reference signal may comprise a downlink reference signal.
[0068] FIG. 7 shows a design of an apparatus 700 for receiving a MIMO transmission in a wureless communication system. Apparatus 700 include a module 712 to receive a first reference signal from a transmitter at a receiver, a module 714 to select a precoding matrix based on the first reference signal and in accordance with a selection criterion also used by the transmitter to select the precoding matrix, a module 716 to estimate noise and interference at the receiver, a module 718 to determine CQI or MCS information based on the precoding matrix, the estimated noise and interference, and possibly other mformation, a module 720 to send the CQI or MCS mfoimation to the transmitter, a module 722 to send a second reference signal to the transmitter, a module 724 to receive a MIMO transmission sent by the transmitter based on the CQI or MCS information and the precoding matrix, a module 726 to derive a detection matrix based on a MIMO channel matrix and the precoding matrix, a module 728 to perform MIMO detection for the received MIMO transmission based on the detection matrix, and a module 730 to demodulate and decode the received MIMO transmission in accordance with the CQI or MCS information.
[0069] The modules in FIGS. 5 and 7 may comprise processors, electronics devices,
hardware devices, electronics components, logical circuits, memories, etc., or any
combination thereof -
[0070] FIG. 8 shows a block diagram of a design of aNode B UO anda UE 120, which may be one of the Node Bs and one of the UEs in FIG. 1. Nod© B 110 is equipped with multiple (NT) antennas 834a through 834t. UE 120 is equipped with multiple (NR) antennas 852a through 852r.
[0071] At Node B 110, a transmit processor 820 may receive data for
symbols for all UEs. Transmit processor 820 may also generate control symbols for control information or signaling. Transmit processor 820 may further generate reference symbols for one or more reference signals, e.g., a downlink reference signal. A MIMO processor 830 may perform preceding on the data symbols for each UE based on a preceding matrix selected for that UE, as described above. MIMO processor 830 may also multiplex the precoded data symbols, the control symbols, and the reference symbols and may provide NT output symbol streams to NT modulators (MOD) 832a through 832t. Each modulator 832 may process its output symbol stream (e.g., for OFDM) to obtain an output sample stream. Each modulator 832 may further condition (e.g., convert to analog, filter, amplify, and upconvert) its output sample stream and generate a downlink signal. NT downlink signals firom modulators 832a tiirough 832t may \x transmitted via antennas 834a through 834t, respectively. [0072] At UE 120, NR antennas 852a through 852r may receive the NT downlink signals from Node B 110, and each antenna 852 may provide a received i signal to an associated demodulator (DEMOD) 854. Each demodulator 854 may condition (e.g., filter, amplify, downconvert, and digitize) its received signal to obtain samples and may further process the samples (e.g., for OFDM) to obtain received symbols. Each demodulator 854 may provide received data symbols to a MIMO detector 860 and provide received reference symbols to a channel processor 894. Channel processor 894 may estimate the downlink MIMO channel fi-om Node B 110 to UE 120 based on the received reference symbols and provide a MIMO channel estimate to MIMO detector 860. MIMO detector 860 may perform MIMO detection on the received data symbols based on the MIMO channel estimate and provide symbol estimates, which are estimates of the transmitted symbols. A receive processor 870 may process (e.g., demodulate and decode) the symbol estimates based on the one or more modulation and codii: schemes for UE 120, provide decoded data to a data smk 872, mi i»-ovide decoded control information to a controller/processor 890.
[0073] UE 120 may estimate the downlink channel quality and generate feedback information, which may comprise CQI or MCS information. The feedback information, data firom a data source 878, and one or more reference signals (e.g., a sounding reference signal) may be processed (e.g., encoded and modulated) by a transmit processor 880, precoded by a MIMO processes: 882, and further iessed by modulators 854a through 854r to generate NR uplink signals, vch may ht transmitted

via antennas 852a through 852r. At Node B 110, the NR uplink signals from UE 120 may be received by NT antennas 834a through 834t and processed by demodulators 832a through 832t. A channel processor 844 may estimate the uplink MIMO channel from UE 120 to Node B 110 and provide a MIMO channel estimate to MIMO detector 836. MIMO detector 836 may perfr)rm MIMO detection based on the MIMO channel estimate and provide symbol estimates. A receive processor 838 may process the symbol estimates, provide decoded data to a data sink 839, and provide decoded feedback information to a controller/processor 840. Controller/processor 840 may control data transmission to UE 120 based on the feedback information. [0074J Controllers/processors 840 and 890 may direct the operation at Node B 110 and UE 120, respectively. Memories 842 and 892 may store data and program codes for Node B 110 and UE 120, respectively. A scheduler 846 may select UE 120 and/or other UEs for data transmission on the downlink and/or uplink based on the feedback information received from the UEs.
[0075J Processors 820, 830, 840 and/or 844 may perform all or part of process 400 in FIG. 4 for sending a MIMO transmission on the downlink. Processors 860, 870, 890 and/or 894 may perform all or part of iMX)cess 600 in FIG. 6 for receiving the MIMO transmission on the downlink. Processors 880, 882, 890 and/or 894 may perform all or part of process 400 in FIG. 4 for sending a MIMO transmission on the uplink. Processors 836, 838, 840 and/or 844 may perform all or part of process 600 in FIG. 6 for receiving the MIMO transmission on the uplink.
[0076] Those of skill in the art would understand that information and signals may be represented usmg any of a variety of different technologies and techniques. For example, data, instructions, commands, information, signals, bits, symbols, and chips that may be referenced throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof.
[0077] Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is

implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
[0078] The various illustrative logical blocks, modules, and circuits described in connection with the disclosure herein may be implemented or performed with a general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration. (00791 The steps of a method or algorithm described m connection with the disclosure herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such that the processor can read information from, and write information to, the storje medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium m«y reside as discrete components in a user terminal.
[0080] In one or more exemplary designs, tiie functions described may be implemented in hardware, software, fumware, or any combination thereof If implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computw-readable medium. Computer-reajdable media includes both computer storage media and communication media including any medium that £u:ilitates transfer of a computer program from one place to another. A storage

media may be any available media that can be accessed by a general purpose or special purpose computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code means m the form of instructions or data structures and that can be accessed by a general-purpose or special-purpose computer, or a general-purpose or special-purpose processor. Also, any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk and disc, as used herein, includes compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
[0081| The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to tiiose skilled in the art, and tlw generic princles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be Ihnited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
[00821 WHAT IS CLAIMED IS:




CLAIMS
1. A method of transmitting data in a wireless communication system,
comprising:
sending a first reference signal from a transmitter to a receiver;
receiving channel quality indicator (CQI) or modulation and coding scheme (MCS) information from the receiver;
receiving a second referenqe signal from the receiver;
selecting a precoding matrix based on the second reference signal; and
sending a multiple-input multiple-output (MIMO) transmission to the receiver based on the CQI or MCS information and the precoding matrix.
2. The method of claim 1, wherein the precoding matrix is selected by the receiver based on the first reference signal, and wherein the CQI or MCS information is determined by the receiver based on the precoding matrix and estimated noise and interference at the receiver.
3. The method of claim 1, wherein the selecting the precoding matrix comprises selecting the precoding matrix in accordance with a selection criterion also used by the receiver to select the precoding matrix.
4. The method of claim 1, wherein the selecting the precoding matrix comprises
obtaining a MIMO channel matrix based on the second reference signal, obtaining a beamforming matrix based on the MIMO channel matrix, and selecting the precoding matrix from a codebook of precoding matrices based on the beamforming matrix.
5. The method of claim 4, wherein the obtainii the beamfomiing matrix comprises performing smgular value decomposition or eigenvalue decompotion of the MIMO channel matrix to obtain the beamforming matrix.
6. The method of claim 4, wherein the selecting the precoding matrix from the codebook comprises selecting the precoding matrix from the codebook based on the

beamforming matrix and in accordance with a selection criterion of closest distance between the beamforming matrix and the precoding matrix.
7. The method of claim 1, wherein the sendmg the MIMO transmission
comprises
obtaining S CQI values or S MCS values for S symbol streams from the CQI or MCS information, where S is one or greater, and
encoding and modulating the S symbol streams in accordance wi the S CQI values or the S MCS values.
8. The method of claim 1, wherein the sending the MIMO transmission comprises performing precoding for S symbol streams based on the precodii matrix, where S is one or greater.
9. The method of claim 1, wherein the MIMO transmission is sent on downlink, isdierein the transmitter is part of a Node B and the receiver is part of a user equi|nnent (UE), and wierein the first reference signal comprises a downlink reference signal and the second reference signal comprises a sounding reference signal.
10. The method of claim 1, wherein tiie MIMO transmission is sent on uplink, wherein the transmitter is part of a user equipment (UE) and the receiver is part of a Node B, and wherein the first reference signal comprises a sounding reference signal and the second reference signal comprises a downlink reference signal.
11. An apparatus for wireless communication, comprising:
at least one processor configured to send a first nsieixace signal from a transmitter to a receiver, to receive channel quality indicator (CQI) or modulation and coding scheme (MCS) mfonnation from the receiver, to receive a second reference signal from the receiver, to select a precoding matrix based cm the secoiul reference signal, and to send a multiple-iiq>ut multiple-output (MIMO) transmission to the receiver based on the CQI or MCS information and the precoding matrix.

12. The apparatus of claim 11, wherein the at least one processor is configured to select the precoding matrix in accordance with a selection criterion also used by the receiver to select the precoding matrix.
13. The eparatus of claim 11, wherein the at least one processor is configured to obtain a MIMO channel matrix based on the second reference signal, to obtain a beamforming matrix based on the MIMO channel matrix, and to select the precoding matrix firom a codebook of precoding matrices based on the beamforming matrix.
14. The apparatus of claim 11, wherein the at least one processor is configured to obtain S CQI values or S MCS values for S symbol streams firom the CQI or MCS information, where S is one or greater, to encode and modulate the S symbol streams in accordance with the S CQI values or the S MCS values, and to perform precoding for the S symbol streams based on the precoding matrix.
15. An apparatus for wireless communication, comprising:
means for sending a first reference signal firom a transmitter to a receiver;
means for receiving channel quality indicator (CQI) or modulation and coding scheme (MCS) information fi-om the receiver;
means for receiving a second reference signal fix>m the receiver;
means for selecting a precoding matrix based on the second reference signal; and
means for sending a multiple-input multiple-output (MIMO) transmission to the receiver based on the CQI or MCS information and ibe precoding matrix.
16. The apparatus of claun 15, wherein the means for selecting the precoding matrix comprises means for selecting the precoding matrix in accordance with a selection criterion also used by the receiver to select the precoding matrix.
17. The apparatus ofclaim 15, wherein the means for selecting the preceding matrix comprises
means for obtaining a MIMO chaimel matrix based on the secoiid refca«nce signal.

means for obtaining a beamforming matrix based on the MIMO channel matrix, and
means for selecting the preceding matrix from a codebook of precoding matrices based on the beamforming matrix.
18. The apparatus of claim 15, wherein the means for sending the MIMO
transmission comprises
means for obtaining S CQI values or S MCS values for S symbol streams from the CQI or MCS information, vftere S is one or greatCT,
means for encoding and modulating the S symbol streams in accordance with the S CQI values or the S MCS values, and
means for performing precoding for the S symbol streams based on the precoding matrix.
19. A computer program product, comprising:
a computer-readable medium comprising:
code for causing at least one computer to send a first reference signal from a transmitter to a receiver,
code for causing at least one computer to receive channel quality indicator (CQI) or modulation and coding scheme (MCS) information from the receiver,
code for causing at least one computer to receive a second reference signal from the receiver,
code for causing the at least one computer to select a precoding matrix based on the second reference signal, and
code for causing the at least one computer to send a multiple-input multiple-output (MIMO) transmission to the receiver bjed on the CQI or MCS information and the precoding matrix.
20. A method of receiving data in a wireless communication system,
comprising:
receiving a first reference signal from a transmitter at a receiver; selecting a precoding matrix based on the first reference signal;

determining channel quality indicator (CQI) or modulation and coding scheme (MCS) information based on the precoding matrix;
sending the CQI or MCS mfonnation to the transmitter;
sending a second reference signal to the transmitter; and
receiving a multiple-input multiple-output (MIMO) transmission sent by the transmitter based on the CQI or MCS information and the precoding matrix, the precoding matrix being selected by the transmitter based on the second reference signal.
21. The method of claim 20, wherein the selecting the precoding matrix comprises selecting the precoding matrix in accordance vsith a selection criterion also used by the transmitter to select the precoding matrix.
22. The method of claim 20, wherein the selecting the precoding matrix comfMises
obtaining a MIMO channel matrix based on the first reference signal, obtaining a beamforming matrix based on the MIMO channel matrix, and selecting the precoding matrix from a codebook of precoding matrices based on the beamforming matrix.
23. The method of claim 22, wherein the selecting the precoding matiix from the codebook comprises selecting the precoding matrix from the codebook based on the beamforming matrix and in accordance with a selection criterion of closest distance between the beamforming matrix and the precoding matrix.
24. The method of claim 20, wherein the determining the CQI or MCS information comprises
estunating noise and interference at the receiver, fxad
determining the number of symbol streams to send and the CQI or MCS information for the symbol streams based on the precoding matrix and the estimated noise and interference.
25. The method of claim 24, wherein the detennining the CQI or MCS
information frirther comprises determining the number of symbol streams to send and

the CQI or MCS infonnation for the symbol streams based fiirther on a difference between transmit power for downlink and transmit power for uplink,
26. The method of claim 20, further comprising:
obtaining a MIMO channel matrix based on the first reference signal;
deriving a detection matrix based on the MIMO channel matrix and the precoding matrix; and
performing MIMO detection for the received MIMO transmission based on the detection matrix.
27. The method of claim 20, further comprising:
demodulating and decoding S symbol streams sent in the recdved MIMO transmission in accordance with S CQI values or S MCS values from the CQI or MCS infonnation, where S is one or greater.
28. The method of claim 20, wherein the MIMO transmission is received on downlmk, wherein the transmitter is part of a Node B and the receiver is part of a user equipment (UE), and wherein the first reference signal comprises a downlink reference signal and the second reference signal comprises a sounding reference signal.
29. The method of claim 20, wherein the MIMO transmission is received on uplink, wherein the transmitter is part of a user equipment (UE) and the receiver is part of a Node B, and wherein the first reference signal com|»ises a sounding reference signal and the second reference signal comprises a downlink reference signal.
30. An apparatus for wireless communication, comprising:
means for receiving a first reference signal from a transmitter at a receiver; means for selecting a precoding matrix based on the jQrst reference signal; means for determining channel quality indicator (CI) or modulation and coding scheme (MCS) information based on the precoding matrix;
means for sending the CQI or MCS information to the transmitter; means for sending a second reference signal to the transmitter, and

means for receiving a multiple-input multiple-output (MMO) transmission sent by the transmitter based on the CQI or MCS information and the precoding matrix, the preceding matrix being selected by the transmitter based on the second reference signal.
31. The apparatus of claim 30, wherein the means for selecting the precoding
matrix comprises means for selecting the precoding matrix in accordance with a
selection criterion also used by the transmitter to select the precoding matrix.
32. The apparatus of claim 30, wherein the means for selecting the precoding
matrix comprises
means for obtaining a MIMO channel matrix based on the first reference signal, means for obtaining a beamforming matrix based on the MIMO channel matrix,
and
means for selecting the precoding matrix from a codebook of precoding matrices
based on the beamforming matrix.
33. The apparatus of claim 30, wherein the means for determining the CQI
or MCS information comprises
means for estimating noise and interference at the receiver, and
means for determining the number of symbol streams to send and the CQI or
MCS information for the symbol streams based on the precoding matrix and the
estimated noise and interference.

Documents:

http://ipindiaonline.gov.in/patentsearch/GrantedSearch/viewdoc.aspx?id=ypMlKjrcU0/tYpaR7y/xgw==&loc=egcICQiyoj82NGgGrC5ChA==


Patent Number 279783
Indian Patent Application Number 847/CHENP/2010
PG Journal Number 05/2017
Publication Date 03-Feb-2017
Grant Date 31-Jan-2017
Date of Filing 15-Feb-2010
Name of Patentee QUALCOMM INCORPORATED
Applicant Address 5775 MOREHOUSE DRIVE, SAN DIEGO, CALIFORNIA 92121-1714
Inventors:
# Inventor's Name Inventor's Address
1 DURGA PRASAD MALLADI 5775 MOREHOUSE DRIVE, SAN DIEGO, CALIFORNIA 92121-1714
2 HAO XU 5775 MOREHOUSE DRIVE, SAN DIEGO, CALIFORNIA 92121-1714
PCT International Classification Number H04L25/03
PCT International Application Number PCT/US2008/072932
PCT International Filing date 2008-08-12
PCT Conventions:
# PCT Application Number Date of Convention Priority Country
1 60/955,622 2007-08-13 U.S.A.
2 12/181,732 2008-07-29 U.S.A.