Beyond Single-Band: Analysis and Resource Allocation for Multi-band ISAC Systems
Abstract
Integrated sensing and communication (ISAC) has emerged as a pivotal technology for sixth-generation wireless networks to empower high-precision sensing. The demand for superior sensing resolution and the reality of spectrum fragmentation have driven the research of multi-band ISAC. Multi-band ISAC provides frequency diversity through independent observations across disparate bands, mitigating sensing performance fluctuations caused by frequency-selective radar cross-section compared to single-band counterparts. In this paper, we propose a framework for analytical performance characterization and resource optimization in multi-band ISAC systems. Specifically, analytical closed-form detection and false alarm probabilities for multi-band OFDM signals are derived, providing a theoretical foundation for subsequent resource allocation. Then, a joint power and time-frequency resource allocation scheme is developed and solved via a proposed ADMM-based algorithm to maximize detection performance. Numerical results validate the accuracy of the closed-form derivations and demonstrate the superior robustness of multi-band signals. Notably, the proposed optimization scheme achieves an 18 dB detection gain over traditional single-band baselines at a 90\% detection probability.
Cite
@article{arxiv.2607.08068,
title = {Beyond Single-Band: Analysis and Resource Allocation for Multi-band ISAC Systems},
author = {Haotian Liu and Zhiqing Wei and Xingwang Li and Yunxin Geng and Qixun Zhang and Zhiyong Feng},
journal= {arXiv preprint arXiv:2607.08068},
year = {2026}
}