Achievable Rate Region for Multiple Access Channel with Correlated Channel States and Cooperating Encoders
Mahdi Zamanighomi, Mohammad Javad Emadi, Farhad Shirani Chaharsooghi,, and Mohammad Reza Aref

TL;DR
This paper derives the achievable rate region for a two-user discrete memoryless multiple-access channel with correlated states and encoder cooperation, including special cases with common state knowledge and Gaussian channels, showing capacity achievement under certain conditions.
Contribution
It introduces a new achievable rate region for MACs with correlated states and cooperating encoders, combining block-Markov and Gel'fand-Pinsker coding techniques.
Findings
Achievable rate region derived for the DM-MAC with correlated states.
Capacity region established for the Gaussian channel in certain cases.
Encoder cooperation improves the rate region by utilizing state information.
Abstract
In this paper, a two-user discrete memoryless multiple-access channel (DM-MAC) with correlated channel states, each known at one of the encoders is considered, in which each encoder transmits independent messages and tries to cooperate with the other one. To consider cooperating encoders, it is assumed that each encoder strictly-causally receives and learns the other encoder's transmitted symbols and tries to cooperate with the other encoder by transmitting its message. Next, we study this channel in a special case; we assume that the common part of both states is known at both, hence encoders use this opportunity to get better rate region. For these scenarios, an achievable rate region is derived based on a combination of block-Markov encoding and Gel'fand-Pinsker coding techniques. Furthermore, the achievable rate region is established for the Gaussian channel, and it is shown that…
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Taxonomy
TopicsWireless Communication Security Techniques · Advanced MIMO Systems Optimization · Energy Harvesting in Wireless Networks
