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Spatially Coupling Data Transmission for Multiple Access Communications

By Dmitri Truhachev and Christian Schlegel


Abstract—We consider a signaling format where information is modulated via a superposition of independent data streams. Each data stream is formed by replication and permutation of encoded information bits. The relations between data bits and modulation symbols transmitted over the channel can be represented in the form of a sparse graph. The modulated streams are transmitted with a time offset enabling spatial coupling of the sparse modulation graphs. We prove that a two-stage demodulation/decoding method, in which iterative demodulation based on symbol estimation and interference cancellation is followed by parallel error correction decoding, achieves capacity on the additive white Gaussian noise (AWGN) channel. I

Year: 2013
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