Abstract
We consider multiple-input multiple-output decode-andforward relay systems in Rayleigh fading channels under the partial channel state information (CSI) that the channel statistics of the source-relay (SR) link and the instantaneous CSI of the sourcedestination and relay-destination links are known at the destination. In this paper, we propose a new near maximum likelihood (near-ML) decoder with two-level pairwise error probability (near- ML-2PEP) which uses the average PEP instead of the exact PEP. Then, we theoretically prove that the near-ML and near-ML-2PEP decoders achieve the maximum diversity, which is confirmed by Monte Carlo simulations. Moreover, we show that the near-ML- 2PEP decoder can also achieve the maximum diversity by substituting the average PEP with the values that represent the error performance of the SR link.
Original language | English |
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Pages (from-to) | 26-35 |
Number of pages | 10 |
Journal | Journal of Communications and Networks |
Volume | 16 |
Issue number | 1 |
DOIs | |
State | Published - 2014 |
Keywords
- Decode-and-forward (DF)
- Maximum likelihood (ML)
- Multiple-inputmultiple- output (MIMO)
- Relay