Abstract
In this paper, we study the optimal structure of the source precoding matrix and the relay amplifying matrices for multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes. In particular, a nonlinear decision feedback equalizer (DFE) is used at the destination node, and the minimal mean-squared error (MMSE) criterion is used to detect the transmitted signal at each stream. We show that the optimal source precoding matrix and the optimal relay amplifying matrices have a beamforming structure. Using such optimal source and relay matrices and the MMSE-DFE receiver, a joint source and relay power loading algorithm is developed to minimize the MSE of the signal waveform estimation. Compared with existing algorithms for parallel MIMO relay networks, the proposed source and relay design together with the MMSE-DFE receiver has a significant improvement in the system bit-error-rate performance.
Original language | English |
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Title of host publication | 2010 16th Asia-Pacific Conference on Communications (APCC) |
Publisher | IEEE |
Pages | 12-16 |
Number of pages | 5 |
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 |
Keywords
- Decision feedback equalizer (DFE)
- Minimum mean-squared error (MMSE)
- Multiple-input multiple-output (MIMO)
- Parallel relay
- Relay networks
ASJC Scopus subject areas
- Computer Networks and Communications