HYBRID FEEDBACK FOR CLOSED LOOP MULTIPLE-INPUT MULTIPLE- OUTPUT
The subject matter disclosed herein provides methods and apparatus for closed loop operation of a wireless system implementing multiple input and multiple output (MIMO). In one aspect, there is provided a method. The method may provide channel estimation feedback to a base station by a user equipment in a wireless communication system. The method includes receiving downlink data from the base station, calculating a digital portion representing a channel parameter estimation of the downlink data, calculating an analog portion representing an error estimation of the digital portion and providing, as feedback, the digital portion and the analog portion to the base station.
1 . A method comprising:
receiving downlink data from the base station;
calculating a digital portion representing a channel parameter estimation of the downlink data;
calculating an analog portion representing an error estimation of the digital portion; and
providing, as feedback, the digital portion and the analog portion to the base station.
2 . The method of claim 1 , wherein the wireless communication system supports Orthogonal Frequency Division Multiplexing/Orthogonal Frequency Division Multiple Access (OFDM/OFDMA).
3 . The method of claim 1 , wherein the digital portion is a digital codeword.
4 . The method of claim 1 , wherein the feedback signal is used to adapt transmission at the base station.
5 . The method of claim 1 , further comprising:
performing a QR decomposition of the downlink data to form an orthogonal and a right triangular matrix.
6 . The method of claim 1 , wherein the analog and digital portions are superposed on the same set of OFDM/OFDMA subcarriers.
7 . The method of claim 1 , wherein the analog and digital portions are each allocated their own set of OFDM/OFDMA subcarriers.
8 . The method of claim 1 , wherein the channel parameter estimation comprises a matrix of singular vectors.
9 . The method of claim 8 , wherein the matrix of singular vectors is generated by performing a singular value decomposition or a power method.
10 . The method of claim 9 , further comprising:
calculating a transmission rank based on a criterion established for a transmission parameter.
11 . The method of claim 10 , wherein the criterion is maximizing transmission capacity.
12 . The method of claim 10 , further comprising:
quantizing the matrix of singular vectors using a k-bit unitary codebook and the criterion to form a k-bit series of quantization bits and a quantized matrix of singular vectors.
13 . The method of claim 12 , wherein the k-bit series of quantized bits are encoded using a code to form the digital codeword.
14 . The method of claim 12 , wherein k is 4 or 6.
15 . The method of claim 12 , further comprising:
performing unitary transformation, based on the transmission rank, on the quantized matrix of singular vectors to align the quantized matrix of singular vectors to the unquantized matrix of singular vectors to form an aligned matrix of singular vectors.
16 . The method of claim 15 , wherein the analog portion further represents the error between the quantized matrix of singular vectors and the aligned matrix of singular vectors.
17 . A user equipment, comprising:
a receiving unit configured to receive downlink data from a base station;
a processor coupled to the receivers and configured to generate feedback in the form digital information representing a channel parameter estimation of the downlink data, and analog information representing an error estimation of the digital information; and
a transmitting unit configured to transmit the feedback to the base station, wherein the digital information is provided in the form of one or more singular vectors to form a matrix of singular vectors.
18 . The user equipment of claim 17 , wherein the processor is further configured to calculate a transmission rank based on a criterion established for a transmission parameter.
19 . The user equipment of claim 18 wherein the criterion is maximizing transmission capacity.
20 . The user equipment of claim 18 , wherein the processor is further configured to quantize the matrix of singular vectors using a k-bit unitary codebook and the criterion to form a k-bit series of quantization bits and a quantized matrix of singular vectors.
21 . The user equipment of claim 20 , wherein the processor is further configured to perform unitary transformation, based on the transmission rank, on the quantized matrix of singular vectors to align the quantized matrix of singular vectors to the unquantized matrix of singular vectors to form an aligned matrix of singular vectors.
22 . The user equipment of claim 21 , wherein the channel estimator is further configured to encode the quantized matrix of singular vectors using a code to form the digital information.
23 . The user equipment of claim 21 , wherein the channel estimator is further configured to calculate the analog information as the error estimation between the quantized matrix of singular vectors and the aligned matrix of singular vectors.
24 . An apparatus, comprising:
a receiving unit for receiving and decoding feedback received from a user equipment in the form of a digital information representing quantized channel parameter estimation information and an analog information representing an error estimation of the digital information, and
a transmitting unit adapted to adjust a transmission parameter based on the feedback and configured to transmit downlink data to a user equipment.
25 . The apparatus of claim 24 , wherein the transmitters transmit the decoded feedback data to a second base station, and wherein the second base station adjusts its transmission parameter based on the decoded feedback.
26 . The apparatus of claim 25 , wherein the second base station can only transmit on the downlink.