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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gor, L. Faulkner, M. |
| Copyright Year | 2006 |
| Description | Author affiliation: Centre for Telecommun. & Microelectron., Victoria Univ. of Technol., Melbourne, VIC (Gor, L.; Faulkner, M.) |
| Abstract | QR decomposition is a computationally intensive process often required for MIMO detection. A technique that allows a reduction in the computational complexity of MIMO QR detection receivers is proposed for non-stationary channel . The technique involves tracking of the upper triangular matrix and reduction of the frequency of QR decomposition. This reduction comes at the cost of increased equalization error from the outdated Q matrix that must be used between successive QR decompositions. When compared to the similar setup but with the channel matrix tracking, the proposed method yields 33% computational complexity reduction without any loss of performance. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 123152 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424400627 |
| DOI | 10.1109/VTCF.2006.346 |
| 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 Matrix decomposition Frequency Computational complexity Energy consumption Microelectronics Australia Telecommunication computing Costs Performance loss |
| Content Type | Text |
| Resource Type | Article |
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