This study discusses new frequencyreversal orthogonal frequency-division multiplexing schemes for cooperative networks in order to minimise the effect of multiple carrier frequency offsets. Theorem 1 proposed and pro...
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This study discusses new frequencyreversal orthogonal frequency-division multiplexing schemes for cooperative networks in order to minimise the effect of multiple carrier frequency offsets. Theorem 1 proposed and proved in this study tells that zero-forcing (ZF) decoding is equivalent to maximum-likelihood (ML) decoding if the equivalent channel matrix is complex orthogonal. frequency reversal alamouti code for two-relay scenario and new space-frequencycodes for more relay nodes scenario are designed under the guidance of Theorem 1. The reversal operations of these codes make the equivalent channel matrix between the relays and the destination complex orthogonalised. Thus, ZF decoding achieves the advantages of ML decoding, and simulation results also confirm that. Benefiting from the simplified ZF decoding method in Theorem 1, the decoding complexity becomes really low.
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