Channel aware receiver for next generation wireless communication system

Abstract

We consider an iterative phase synchronization scheme based on maximum a posteriori probability algorithm. In classical approaches, the phase noise estimation model considers one sample per symbol at the channel and receiver. However, information theoretic studies suggested use of more than one sample per symbol at the channel and receiver for achieving higher performance. In this article, a soft-information aided iterative receiver is derived, which uses off-the-shelf blocks for detection and demodulation by keeping the complexity of the receiver acceptable. We consider here two samples per symbols at the channel and receiver in a pragmatic paradigm. It is shown that phase noise estimation can be significantly improved at the expense of modest processing overhead. Simulation results are presented for low-density parity check coded quadrature amplitude modulations. Our results show a significant performance improvement for strong phase noise values compared to classical receiver approaches.

Keywords

phase noise channel / iterative receiver / multi-sample / LDPC coded modulations

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