Dirty Paper Coding Based Optimal MIMO Relay Communications
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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 meansquared 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 resultsdemonstrate 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.
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