Abstract

We consider a state-dependent multiaccess channel (MAC) with state noncausally known to some encoders. For simplicity of exposition, we focus on a two-encoder model in which one of the encoders has noncausal access to the channel state. The results can in principle be extended to any number of encoders with a subset of them being informed. We derive an inner bound for the capacity region in the general discrete memoryless case and specialize to a binary noiseless case. In binary noiseless case, we compare the inner bounds with trivial outer bounds obtained by providing the channel state to the decoder. In the case of maximum entropy channel state, we obtain the capacity region for binary noiseless MAC with one informed encoder. For a Gaussian state-dependent MAC with one encoder being informed of the channel state, we present an inner bound by applying a slightly generalized dirty paper coding (GDPC) at the informed encoder and a trivial outer bound by providing channel state to the decoder also. In particular, if the channel input is negatively correlated with the channel state in the random coding distribution, then GDPC can be interpreted as partial state cancellation followed by standard dirty paper coding. The uninformed encoders benefit from the state cancellation in terms of achievable rates, however, it seems that GDPC cannot completely eliminate the effect of the channel state on the achievable rate region, in contrast to the case of all encoders being informed. In the case of infinite state variance, we provide an inner bound and also provide a nontrivial outer bound for this case which is better than the trivial outer bound.

Highlights

  • We consider a state-dependent multiaccess channel (MAC) with noiseless channel state noncausally known to only some, but not all, encoders

  • generalized dirty paper coding (GDPC) with negative correlation coefficient ρ can be interpreted as standard dirty paper coding (DPC) with power (1−γ)P1 applied on the remaining state S after state cancellation using power γP1. (ii) In this paper, we focus on the two-encoder model in which one is informed and the other is uninformed, but the concepts can be extended to the model with any number of uninformed and informed encoders

  • We derived an inner bound for the discrete memoryless (DM) case and specialized to a noiseless binary case using generalized binary DPC

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Summary

INTRODUCTION

We consider a state-dependent multiaccess channel (MAC) with noiseless channel state noncausally known to only some, but not all, encoders. The simplest example of a communication system under investigation is shown, in which two encoders communicate to a single decoder through a state-dependent MAC p(y|x1, x2, s) controlled by the channel state S. We assume that one of the encoders has noncausal access to the noiseless channel state. The results can in principle be extended to any number of encoders with a subset of them being informed of the noiseless channel state. The informed encoder and the uninformed encoder want to send messages W1 and W2, respectively, to the decoder in n channel uses. The informed encoder, provided with both W1 and the channel state Sn, generates the codeword X1n. The uninformed encoder, provided only with W2, generates the codeword X2n. Our goal is to study the capacity region of this model

Motivation
Background
Main contributions and organization of the paper
NOTATIONS AND DEFINITIONS
Inner bound for the capacity region
DISCRETE MEMORYLESS CASE
Binary noiseless example
Inner and outer bounds
Numerical example
Maximum entropy state
GAUSSIAN MEMORYLESS CASE
Inner and outer bounds on the capacity region
Asymptotic analysis
CONCLUSIONS
Proof of Theorem 1
Converse for the capacity region in Corollary 2
Full Text
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