Method for closed-loop subspace transmission and reception in a two transmit N-receive antenna system
View Patent ↗A method for generating channel quality feedback information in terms of quantized eigenvectors calculated from an eigenvalue decomposition that uses a channel matrix and an eigenvalue matrix to generate quantized and bounded eigenvectors. The channel correlation matrix and the eigenvalue matrix are obtained from a channel matrix formed from channel measurements of various signal parameters of signals transmitted over the communication channel. The eigenvalue decomposition uses the elements of the channel correlation matrix, the elements of the eigenvalue matrix and conditional relationships between elements of the channel correlation matrix to calculate the quantized and bounded eigenvectors. Because the elements of the quantized bounded eigenvectors can be expressed in terms of each other, not all elements of the quantized bounded vectors need be transmitted over the communication channel resulting in efficient use of the communication channel.
1. A method of generating channel quality feedback information for a communication channel of a communication system, the method comprising the step of:
quantizing eigenvectors having elements and representing channel quality feedback information that is to be transmitted over the communication channel where
the eigenvectors are calculated from an eigenvalue decomposition that uses a channel correlation matrix, conditional relationships between elements of the channel correlation matrix and an eigenvalue matrix to select certain solutions for the eigenvectors whereby
the selected solutions are bounded eigenvectors whose elements can be expressed in terms of other eigenvector elements, elements of the channel correlation matrix and elements of the eigenvalue matrix and
where the channel correlation matrix and the eigenvalue matrix are obtained from a channel matrix formed from measurements of channel parameters.
2. The method of claim 1 where the step of quantizing eigenvectors comprises the steps of:
calculating boundaries of the elements of the selected eigenvectors from the elements of the eigenvector matrix, the elements of the eigenvalue matrix and the elements of the channel correlation matrix; and
selecting a value that is within the calculated boundaries in accordance with an algorithm.
3. The method of claim 2 where the algorithm is an equidistant algorithm.
4. The method of claim 2 where the algorithm is equi-probability algorithm.
5. The method of claim 2 where the algorithm is a statistical algorithm.
6. The method of claim 1 further comprising the step of transmitting the quantized bounded eigenvectors over the communication channel allowing these eigenvectors to be used to reduce channel anomalies experienced by signals transmitted over the communication channel.
7. The method of claim 1 where the communication channel is part of a wireless communication system and where the bounded eigenvectors are calculated and quantized by system equipment of the wireless communication system.
8. The method of claim 1 where the communication channel is part of a wireless communication system and where the bounded eigenvectors are calculated and quantized by user equipment of the wireless communication system.