Multi layer Gelfand Pinsker Strategies for the Generalized Multiple Access Channel
Mohammad Javad Emadi, Majid Nasiri Khormuji, Mikael Skoglund and, Mohammad Reza Aref

TL;DR
This paper develops advanced coding strategies for a two-user state-dependent GMAC with correlated states, achieving interference mitigation and expanding known rate regions, especially in Gaussian cases with noncausal CSI.
Contribution
It introduces a multi-layer Gelfand-Pinsker coding scheme for the GMAC, including novel interference cancellation techniques for Gaussian models with partial and full CSI.
Findings
Achievable rate region includes several known results.
Multi-layer Costa precoding can completely remove interference.
Rate region can be independent of interference power with full CSI.
Abstract
We study a two-user state-dependent generalized multiple-access channel (GMAC) with correlated states. It is assumed that each encoder has \emph{noncausal} access to channel state information (CSI). We develop an achievable rate region by employing rate-splitting, block Markov encoding, Gelfand--Pinsker multicoding, superposition coding and joint typicality decoding. In the proposed scheme, the encoders use a partial decoding strategy to collaborate in the next block, and the receiver uses a backward decoding strategy with joint unique decoding at each stage. Our achievable rate region includes several previously known regions proposed in the literature for different scenarios of multiple-access and relay channels. Then, we consider two Gaussian GMACs with additive interference. In the first model, we assume that the interference is known noncausally at both of the encoders and…
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Taxonomy
TopicsWireless Communication Security Techniques · Cooperative Communication and Network Coding · Advanced MIMO Systems Optimization
