Multicasting MIMO Relay Optimization Based on Min-Max MSE Criterion
In this paper, we consider a multicasting multiple-input multiple-output (MIMO) relay system where the transmitter multicasts a common message to multiple receivers with the aid of a relay node, all equipped with multiple antennas. Given the power constraints at the source and the relay nodes, we ai...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/36060 |
| _version_ | 1848754664234811392 |
|---|---|
| author | Khandaker, Muhammad Rong, Yue |
| author2 | Teng Joon Lim |
| author_facet | Teng Joon Lim Khandaker, Muhammad Rong, Yue |
| author_sort | Khandaker, Muhammad |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we consider a multicasting multiple-input multiple-output (MIMO) relay system where the transmitter multicasts a common message to multiple receivers with the aid of a relay node, all equipped with multiple antennas. Given the power constraints at the source and the relay nodes, we aim at minimizing the maximal mean-squared error (MSE) of the signal waveform estimation among the destination nodes through joint source, relay, and receiver matrices optimization. We provide a low complexity solution to this highly nonconvex optimization problem. In particular, we show that under the (moderately) high signal-to-noise ratio (SNR) assumption, the joint source and relay optimization problem can be solved using standard semidefinite programming (SDP) technique. Numerical simulations provided demonstrate the effectiveness of the proposed algorithm. |
| first_indexed | 2025-11-14T08:44:00Z |
| format | Conference Paper |
| id | curtin-20.500.11937-36060 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:44:00Z |
| publishDate | 2012 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-360602017-09-13T15:52:51Z Multicasting MIMO Relay Optimization Based on Min-Max MSE Criterion Khandaker, Muhammad Rong, Yue Teng Joon Lim In this paper, we consider a multicasting multiple-input multiple-output (MIMO) relay system where the transmitter multicasts a common message to multiple receivers with the aid of a relay node, all equipped with multiple antennas. Given the power constraints at the source and the relay nodes, we aim at minimizing the maximal mean-squared error (MSE) of the signal waveform estimation among the destination nodes through joint source, relay, and receiver matrices optimization. We provide a low complexity solution to this highly nonconvex optimization problem. In particular, we show that under the (moderately) high signal-to-noise ratio (SNR) assumption, the joint source and relay optimization problem can be solved using standard semidefinite programming (SDP) technique. Numerical simulations provided demonstrate the effectiveness of the proposed algorithm. 2012 Conference Paper http://hdl.handle.net/20.500.11937/36060 10.1109/ICCS.2012.6406100 IEEE fulltext |
| spellingShingle | Khandaker, Muhammad Rong, Yue Multicasting MIMO Relay Optimization Based on Min-Max MSE Criterion |
| title | Multicasting MIMO Relay Optimization Based on Min-Max MSE Criterion |
| title_full | Multicasting MIMO Relay Optimization Based on Min-Max MSE Criterion |
| title_fullStr | Multicasting MIMO Relay Optimization Based on Min-Max MSE Criterion |
| title_full_unstemmed | Multicasting MIMO Relay Optimization Based on Min-Max MSE Criterion |
| title_short | Multicasting MIMO Relay Optimization Based on Min-Max MSE Criterion |
| title_sort | multicasting mimo relay optimization based on min-max mse criterion |
| url | http://hdl.handle.net/20.500.11937/36060 |