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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ghaderipoor, A. Tellambura, C. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB (Ghaderipoor, A.; Tellambura, C.) |
| Abstract | Preceding is a well-known method to reach the promised performance and capacity of multiple-input multiple-output (MIMO) systems. Recent investigations, when the transmitter has the channel-state information (CSI), have revealed several preceding techniques. Minimum distance based precoders outperform precoders based on other criteria such as maximizing signal-to-noise ratio (SNR), minimizing the mean square error and maximizing the minimum singular value of the equivalent channel. On the other hand, when the CSI is not available at the transmitter, one resorts to limited feedback precoding methods. Previously, unitary matrices for precoding have been derived from subspace packing in the Grassmann manifold. In this paper, we use the same set of unitary matrices and enhance them by defining the precoder matrix to have a general form not unitary only. We extract the precoding parameters by applying the minimum-distance approach. Although in this case the number of feedback parameters is increased, the performance results are accordingly impressive. The optimality of quantization of feedback parameters is also presented. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 135253 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424400627 |
| DOI | 10.1109/VTCF.2006.95 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-09-25 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | MIMO Feedback Transmitters Receiving antennas Signal to noise ratio Quantization Fading Transmitting antennas Mean square error methods Bandwidth |
| Content Type | Text |
| Resource Type | Article |
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