Abstract
In this paper, we address the optimal source and relay matrices design issue for a multiple-input multiple-output (MIMO) relay network using the dirty paper coding (DPC) scheme at the source node. The aim is to minimize the mean-squared error (MSE) of the signal waveform estimation at the destination. Using the property of uplink-downlink duality, the original DPC-based MIMO relay system is first converted to a dual system with a decision feedback equalizer (DFE) at the destination. Then we jointly optimize the source and relay matrices of the dual system. Finally the optimal source and relay matrices of the DPC-based system are obtained by exploiting the link between the source, relay, and destination matrices of the original and dual MIMO relay systems. Simulation results demonstrate that the proposed DPC-based MIMO relay system performs much better than the existing linear minimal MSE (MMSE)-based relaying approach in terms of bit-error-rate.
| Original language | English |
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| Title of host publication | 2010 16th Asia-Pacific Conference on Communications (APCC) |
| Publisher | IEEE |
| Pages | 291-296 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781424481279 |
| ISBN (Print) | 9781424481286 |
| DOIs | |
| Publication status | Published - 6 Jan 2011 |
| Event | 16th Asia-Pacific Conference on Communications 2010 - Auckland, New Zealand Duration: 31 Oct 2010 → 3 Nov 2010 |
Conference
| Conference | 16th Asia-Pacific Conference on Communications 2010 |
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| Abbreviated title | APCC 2010 |
| Country/Territory | New Zealand |
| City | Auckland |
| Period | 31/10/10 → 3/11/10 |
ASJC Scopus subject areas
- Computer Networks and Communications