Channel Estimation of MIMO Relay Systems with Multiple Relay Nodes
OAPA In this article, we consider the channel estimation problem for multiple-input multiple-output (MIMO) wireless relay communication systems with multiple relay nodes. In particular, all individual channel matrices of the first-hop and second-hop links are estimated at the destination node by app...
| Main Authors: | , , , , |
|---|---|
| Format: | Journal Article |
| Published: |
IEEE Access
2017
|
| Online Access: | http://purl.org/au-research/grants/arc/DP140102131 http://hdl.handle.net/20.500.11937/60708 |
| _version_ | 1848760629031075840 |
|---|---|
| author | He, Z. Yang, J. Wang, X. Liu, Y. Rong, Yue |
| author_facet | He, Z. Yang, J. Wang, X. Liu, Y. Rong, Yue |
| author_sort | He, Z. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | OAPA In this article, we consider the channel estimation problem for multiple-input multiple-output (MIMO) wireless relay communication systems with multiple relay nodes. In particular, all individual channel matrices of the first-hop and second-hop links are estimated at the destination node by applying the superimposed channel training algorithm, where training sequences are superimposed at the relay nodes to assist the estimation of the relays-destination channel matrices. To improve the performance of channel estimation, we consider the estimation error inherited from the second-hop channel estimation and develop a new minimal mean-squared error (MMSE) based algorithm to estimate the first-hop channel matrices. Furthermore, we derive the optimal power allocation and training sequences at the source and relay nodes. Numerical examples demonstrate a better performance of the proposed superimposed channel training algorithm. |
| first_indexed | 2025-11-14T10:18:49Z |
| format | Journal Article |
| id | curtin-20.500.11937-60708 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:18:49Z |
| publishDate | 2017 |
| publisher | IEEE Access |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-607082022-10-12T03:32:17Z Channel Estimation of MIMO Relay Systems with Multiple Relay Nodes He, Z. Yang, J. Wang, X. Liu, Y. Rong, Yue OAPA In this article, we consider the channel estimation problem for multiple-input multiple-output (MIMO) wireless relay communication systems with multiple relay nodes. In particular, all individual channel matrices of the first-hop and second-hop links are estimated at the destination node by applying the superimposed channel training algorithm, where training sequences are superimposed at the relay nodes to assist the estimation of the relays-destination channel matrices. To improve the performance of channel estimation, we consider the estimation error inherited from the second-hop channel estimation and develop a new minimal mean-squared error (MMSE) based algorithm to estimate the first-hop channel matrices. Furthermore, we derive the optimal power allocation and training sequences at the source and relay nodes. Numerical examples demonstrate a better performance of the proposed superimposed channel training algorithm. 2017 Journal Article http://hdl.handle.net/20.500.11937/60708 10.1109/ACCESS.2017.2775202 http://purl.org/au-research/grants/arc/DP140102131 IEEE Access fulltext |
| spellingShingle | He, Z. Yang, J. Wang, X. Liu, Y. Rong, Yue Channel Estimation of MIMO Relay Systems with Multiple Relay Nodes |
| title | Channel Estimation of MIMO Relay Systems with Multiple Relay Nodes |
| title_full | Channel Estimation of MIMO Relay Systems with Multiple Relay Nodes |
| title_fullStr | Channel Estimation of MIMO Relay Systems with Multiple Relay Nodes |
| title_full_unstemmed | Channel Estimation of MIMO Relay Systems with Multiple Relay Nodes |
| title_short | Channel Estimation of MIMO Relay Systems with Multiple Relay Nodes |
| title_sort | channel estimation of mimo relay systems with multiple relay nodes |
| url | http://purl.org/au-research/grants/arc/DP140102131 http://hdl.handle.net/20.500.11937/60708 |