Combination of iterative IA precoding and IBDFE based Equalizer for MC-CDMA
نویسندگان
چکیده
Interference alignment (IA) Precoding is a generalization of beam forming to support multi-stream (or multi-layer) transmission in multi-antenna wireless communications. Another FDE receivers supported the iterative block decision-feedback equalization (IBDFE), that doesn't use cryptography inside the iterative method will expeditiously exploit the inherent space-frequency diversity of the MC-CDMA systems. In this paper we have a tendency to discuss the combination of Pseudo-random sequence generator based iterative IA precoding and IBDFE based Equalizer for MC-CDMA systems. The using of this sequence generator we will be able to generate efficient pulse thus the performance might be able to increase the performance of the system. In receiver aspect, first a linear filter is employed to cut back the inter-user aligned interference, and so associate iterative FDE receiver is meant to expeditiously separate the abstraction streams within the presence of residual inter-user aligned interference at the output of the filter. The IBDFE based receiver primarily wont to scale back the inter-user aligned interference and overall mean sq. error (MSE) at every subcarrier in MC-CDMA and additionally scale reduce the no of iterations at the transmitter. In this system achieves the most degrees of freedom provided by the IA precoding, and also provide high space-diversity gain.
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تاریخ انتشار 2015