Superimposed channel training for MIMO relay systems
Based on the knowledge of instantaneous channel state information (CSI), the optimal source and relay pre-coding matrices have been developed recently for multiple-input multiple-output (MIMO) relay communication systems. However, in real communication systems, the instantaneous CSI is unknown and n...
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/42354 |
| _version_ | 1848756396916473856 |
|---|---|
| author | Rong, Yue |
| author2 | Abbas Jamalipour |
| author_facet | Abbas Jamalipour Rong, Yue |
| author_sort | Rong, Yue |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Based on the knowledge of instantaneous channel state information (CSI), the optimal source and relay pre-coding matrices have been developed recently for multiple-input multiple-output (MIMO) relay communication systems. However, in real communication systems, the instantaneous CSI is unknown and needs to be estimated at the destination node. In this paper, we propose a superimposed channel training method for MIMO relay communication systems. It is shown that to minimize the mean-squared error (MSE) of channel estimation, the optimal training sequence at each node matches the eigenvector matrix of the transmitter correlation matrix of the forward MIMO channel. Then we optimize the power allocation among different streams of the training sequence at the source node and the relay node. Simulation results show that the proposed algorithm leads to a smaller MSE of channel estimation compared with the conventional MIMO relay channel estimation algorithm. |
| first_indexed | 2025-11-14T09:11:32Z |
| format | Conference Paper |
| id | curtin-20.500.11937-42354 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:11:32Z |
| publishDate | 2012 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-423542017-09-13T16:00:09Z Superimposed channel training for MIMO relay systems Rong, Yue Abbas Jamalipour Based on the knowledge of instantaneous channel state information (CSI), the optimal source and relay pre-coding matrices have been developed recently for multiple-input multiple-output (MIMO) relay communication systems. However, in real communication systems, the instantaneous CSI is unknown and needs to be estimated at the destination node. In this paper, we propose a superimposed channel training method for MIMO relay communication systems. It is shown that to minimize the mean-squared error (MSE) of channel estimation, the optimal training sequence at each node matches the eigenvector matrix of the transmitter correlation matrix of the forward MIMO channel. Then we optimize the power allocation among different streams of the training sequence at the source node and the relay node. Simulation results show that the proposed algorithm leads to a smaller MSE of channel estimation compared with the conventional MIMO relay channel estimation algorithm. 2012 Conference Paper http://hdl.handle.net/20.500.11937/42354 10.1109/PIMRC.2012.6362744 IEEE fulltext |
| spellingShingle | Rong, Yue Superimposed channel training for MIMO relay systems |
| title | Superimposed channel training for MIMO relay systems |
| title_full | Superimposed channel training for MIMO relay systems |
| title_fullStr | Superimposed channel training for MIMO relay systems |
| title_full_unstemmed | Superimposed channel training for MIMO relay systems |
| title_short | Superimposed channel training for MIMO relay systems |
| title_sort | superimposed channel training for mimo relay systems |
| url | http://hdl.handle.net/20.500.11937/42354 |