Invariant productive dimensions of the transmit beams using partial channel state information for the mimo multipath channel

Publication Type:
Thesis
Issue Date:
2007
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NO FULL TEXT AVAILABLE. Access is restricted indefinitely. ----- MIMO (Multiple- Input Multiple- Output) technology in Telecommunication utilises multiple antennas at each end of a communication channel. MIMO relies on the creation of orthogonal sub-channels to increase the channel capacity compared with the SISO (Single Input- Single Output) channels. Information about the Channel State can be used to advantage. This thesis considers the case of a moving receiver in the multipath environment. A subspace method that extracts the invariant productive transmit dimensions from the changing channel matrix is proposed. The performance of transmit beam algorithms using these dimensions compared with transmit beam forming conventional method using these invariant dimensions is compared with the conventional methods. The performance of these dimensions in realistic environments for moving receiver will be used to validate the use of the invariant productive dimension. The second objective of this study will be to evaluate the performance of transmit beam algorithms using the invariant productive dimensions derived from the WCDM/HSDPA network. Recommendations will be given to implement the transmit beam algorithms using the invariant productive dimensions in the most efficient manner. These beam patterns operate on the information of channel matrix. At the receiver, it provides the covariance matrix of the channel matrix after several observations so the invariant productive dimensions and power allocation scheme can be extracted from this covariance matrix at the transmitter. The transmit beam algorithms benefit from the feedback information at the receiver which involves the productive invariant dimensions and power allocation. This method is suited for the fast fading environment when only the covariance of channel matrix can be provided at the receiver.
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