An Achievable Rate-Distortion Region for Joint State and Message Communication over Multiple Access Channels

TL;DR

This paper establishes an achievable rate-distortion region for joint message and state communication over a state-dependent multiple access channel, incorporating feedback and causal side information, with applications to integrated sensing and communication systems.

Contribution

It introduces a new achievable rate-distortion region for SD-DMMAC with feedback and causal side info, using novel coding and decoding schemes.

Findings

The derived R-D region models various ISAC applications.

The proposed schemes improve understanding of joint message and state estimation.

Applications include monostatic-uplink and multi-modal sensor networks.

Abstract

This paper derives an achievable rate-distortion (R-D) region for the state-dependent discrete memoryless multiple access channel (SD-DMMAC), where the generalized feedback and causal side information are present at encoders, and the decoder performs the joint task of message decoding and state estimation. The Markov coding and backward-forward two-stage decoding schemes are adopted in the proof. This scenario is shown to be capable of modeling various integrated sensing and communication (ISAC) applications, including the monostatic-uplink system and multi-modal sensor networks, which are then studied as examples.