Integrated Sensing and Communication with Distributed Rate-Limited Helpers

TL;DR

This paper explores the capacity-distortion tradeoff in integrated sensing and communication systems with two rate-limited helpers, proposing a coding scheme that optimally balances state information transmission and compression.

Contribution

It introduces a novel coding scheme for ISAC systems with distributed helpers, providing tight bounds in key scenarios.

Findings

Inner bound of capacity-distortion tradeoff established

Coding scheme effectively balances state information and feedback compression

Bounds are tight in several special cases

Abstract

This paper studies integrated sensing and communication (ISAC) systems with two rate-limited helpers who observe the channel state sequence and the feedback sequence, respectively. Depending on the timing of compressing and using the state information, our proposed coding scheme gives an inner bound of the capacity-compression-distortion tradeoff region. The tradeoff is realized by sending part of the state information at the beginning of the transmission to facilitate the communication and compressing the remaining part together with the feedback signal. The inner bound becomes tight bounds in several special cases.