Channel Estimation for Time-Varying MIMO Relay Systems
In this paper, we investigate the channel estimation problem for multiple-input multiple-output (MIMO) relay communication systems with time-varying channels. The time-varying characteristic of the channels is described by the complexexponential basis expansion model (CE-BEM). We propose a superimpo...
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| Format: | Journal Article |
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IEEE
2015
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| Online Access: | http://purl.org/au-research/grants/arc/DP110100736 http://hdl.handle.net/20.500.11937/42563 |
| _version_ | 1848756454480150528 |
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| author | Chiong, Choo Wee Raymond Rong, Yue Xiang, Y. |
| author_facet | Chiong, Choo Wee Raymond Rong, Yue Xiang, Y. |
| author_sort | Chiong, Choo Wee Raymond |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we investigate the channel estimation problem for multiple-input multiple-output (MIMO) relay communication systems with time-varying channels. The time-varying characteristic of the channels is described by the complexexponential basis expansion model (CE-BEM). We propose a superimposed channel training algorithm to estimate the individual first-hop and second-hop time-varying channel matrices for MIMO relay systems. In particular, the estimation of the secondhop time-varying channel matrix is performed by exploiting the superimposed training sequence at the relay node, while the first-hop time-varying channel matrix is estimated through the source node training sequence and the estimated second-hop channel. To improve the performance of channel estimation, we derive the optimal structure of the source and relay training sequences that minimize the mean-squared error (MSE) of channel estimation. We also optimize the relay amplification factor that governs the power allocation between the source and relay training sequences. Numerical simulations demonstrate that the proposed superimposed channel training algorithm for MIMO relay systems with time-varying channels outperforms the conventional two-stage channel estimation scheme. |
| first_indexed | 2025-11-14T09:12:27Z |
| format | Journal Article |
| id | curtin-20.500.11937-42563 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:12:27Z |
| publishDate | 2015 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-425632022-10-12T03:27:17Z Channel Estimation for Time-Varying MIMO Relay Systems Chiong, Choo Wee Raymond Rong, Yue Xiang, Y. superimposed training time-varying channel MIMO relay Channel estimation MMSE CE-BEM In this paper, we investigate the channel estimation problem for multiple-input multiple-output (MIMO) relay communication systems with time-varying channels. The time-varying characteristic of the channels is described by the complexexponential basis expansion model (CE-BEM). We propose a superimposed channel training algorithm to estimate the individual first-hop and second-hop time-varying channel matrices for MIMO relay systems. In particular, the estimation of the secondhop time-varying channel matrix is performed by exploiting the superimposed training sequence at the relay node, while the first-hop time-varying channel matrix is estimated through the source node training sequence and the estimated second-hop channel. To improve the performance of channel estimation, we derive the optimal structure of the source and relay training sequences that minimize the mean-squared error (MSE) of channel estimation. We also optimize the relay amplification factor that governs the power allocation between the source and relay training sequences. Numerical simulations demonstrate that the proposed superimposed channel training algorithm for MIMO relay systems with time-varying channels outperforms the conventional two-stage channel estimation scheme. 2015 Journal Article http://hdl.handle.net/20.500.11937/42563 10.1109/TWC.2015.2459700 http://purl.org/au-research/grants/arc/DP110100736 http://purl.org/au-research/grants/arc/DP110102076 http://purl.org/au-research/grants/arc/DP140102131 IEEE fulltext |
| spellingShingle | superimposed training time-varying channel MIMO relay Channel estimation MMSE CE-BEM Chiong, Choo Wee Raymond Rong, Yue Xiang, Y. Channel Estimation for Time-Varying MIMO Relay Systems |
| title | Channel Estimation for Time-Varying MIMO Relay Systems |
| title_full | Channel Estimation for Time-Varying MIMO Relay Systems |
| title_fullStr | Channel Estimation for Time-Varying MIMO Relay Systems |
| title_full_unstemmed | Channel Estimation for Time-Varying MIMO Relay Systems |
| title_short | Channel Estimation for Time-Varying MIMO Relay Systems |
| title_sort | channel estimation for time-varying mimo relay systems |
| topic | superimposed training time-varying channel MIMO relay Channel estimation MMSE CE-BEM |
| url | http://purl.org/au-research/grants/arc/DP110100736 http://purl.org/au-research/grants/arc/DP110100736 http://purl.org/au-research/grants/arc/DP110100736 http://hdl.handle.net/20.500.11937/42563 |