@inproceedings{023c06c7afb449baba7e10f677c215b1,
title = "Model-Free Online Learning for Waveform Optimization In Integrated Sensing And Communications",
abstract = "This paper considers waveform optimization problems for managing and mitigating interference in integrated sensing and communications (ISAC) systems. In particular, we consider dynamic shared spectrum scenarios where channel and interference statistics are nonstationary. The focus is on allocating frequency and power resources in multicarrier ISAC systems. A data-efficient Model-Free Online Learning (MFOL) algorithm is proposed as an alternative to the previously proposed Model-Based Online Learning (MBOL) approach. Empirical results show that the MFOL method learns slower than the MBOL method but can perform better when a large number of training samples are available.",
keywords = "joint radar-communications systems, model-free learning, online learning, reinforcement learning, resource allocation",
author = "Petteri Pulkkinen and Visa Koivunen",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP ; Conference date: 04-06-2023 Through 10-06-2023",
year = "2023",
doi = "10.1109/ICASSP49357.2023.10095423",
language = "English",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "IEEE",
booktitle = "ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings",
address = "United States",
}