Publication

Achievable Rates for State-Dependent Discrete Memoryless Channels With Coded Sensing

Publication Info

Publication

2025 IEEE Information Theory Workshop (ITW)

Abstract

We describe a basic single-user integrated sensing and communication (ISAC) system, considering a state-dependent discrete memoryless channel (DMC) with independent and identically distributed (iid) state sequences that are independent of the input sequence. Furthermore, we assume that no feedback is present and no state information is available to either the transmitter or the receiver. We derive the highest transmission rates achievable for our channel under a given distortion constraint, for three different receiver schemes: simultaneous decoding and estimation, decoding before estimation, and estimation before decoding. The state estimator is based on the idea of coded sensing, i.e., it uses a lossy source coding codebook to determine the estimate of the state sequence. The results hint towards a trade-off among the performance limits of such ISAC systems.

CiTation

O. M. Mujumdar, W. Zhang and J. N. Laneman, "Achievable Rates for State-Dependent Discrete Memoryless Channels With Coded Sensing," 2025 IEEE Information Theory Workshop (ITW), Sydney, Australia, 2025, pp. 1-6, doi: 10.1109/ITW62417.2025.11240522.

Contributors

Info

Date:
November 21, 2025
Type:
Conference Paper
DOI:
10.1109/ITW62417.2025.11240522