Multi-layer Gelfand-Pinsker strategies for the generalized multiple-access channel

Abstract

We study a two-user state-dependent generalized multiple-access channel (GMAC) with correlated states. It is assumed that each encoder noncausally knows partial channel state information. We develop an achievable rate region by employing rate-splitting, block Markov encoding, Gelfand-Pinsker multicoding, superposition coding and jointly typical decoding. In… (More)
DOI: 10.1109/IWCIT.2013.6555750

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