Integrated sensing and communications (ISAC) has been recognized as a key component in the envisioned 6G communication systems. Understanding the fundamental performance tradeoff between sensing and communication functionalities is essential for designing practical cost-efficient ISAC systems. In this paper, we aim for augmenting the current understanding of the deterministic-random tradeoff (DRT) between sensing and communication, by analyzing the sensing-optimal operating point of the fundamental capacity-distortion region. We show that the DRT exists for generic sensing performance metrics that are in general not convex/concave in the ISAC waveform. Especially, we elaborate on a representative non-convex performance metric, namely the detection probability for target detection tasks.
@article{arxiv.2308.14336,
title = {Generalized Deterministic-Random Tradeoff in Integrated Sensing and Communications: The Sensing-Optimal Operating Point},
author = {Yifeng Xiong and Fan Liu and Marco Lops},
journal= {arXiv preprint arXiv:2308.14336},
year = {2023}
}