Coding for Sensing: An Improved Scheme for Integrated Sensing and Communication over MACs
Mehrasa Ahmadipour, Michele Wigger, and Mari Kobayashi

TL;DR
This paper introduces an improved coding scheme for a memoryless state-dependent MAC, enhancing simultaneous communication and sensing by leveraging feedback-based coding strategies for better state estimation.
Contribution
It proposes a novel inner bound on the rate-distortion tradeoff for integrated sensing and communication over MACs, using feedback coding to improve state estimation.
Findings
Enhanced rate-distortion bounds for MACs with sensing
Feedback coding improves state estimation accuracy
Contrasts with point-to-point and broadcast schemes
Abstract
A memoryless state-dependent multiple-access channel (MAC) is considered, where two transmitters wish to convey their messages to a single receiver while simultaneously sensing (estimating) the respective states via generalized feedbacks. For this channel, an improved inner bound is provided on the fundamental rate-distortions tradeoff which characterizes the communication rates the transmitters can achieve while simultaneously ensuring that their state-estimates satisfy desired distortion criteria. The new inner bound is based on a scheme where each transmitter codes over the generalized feedback so as to improve the state estimation at the other transmitter. This is in contrast to the schemes proposed for point-to-point and broadcast channels where coding is used only for the transmission of messages and the optimal estimators operate on a symbol-by-symbol basis on the sequences of…
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Taxonomy
TopicsDistributed Sensor Networks and Detection Algorithms · Wireless Communication Security Techniques · Underwater Vehicles and Communication Systems
