{"ID":6267011,"CreatedAt":"2026-07-10T01:11:38.759438437Z","UpdatedAt":"2026-07-12T02:39:49.176443384Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.08068","arxiv_id":"2607.08068","title":"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.","short_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 d...","url_abs":"https://arxiv.org/abs/2607.08068","url_pdf":"https://arxiv.org/pdf/2607.08068v1","authors":"[\"Haotian Liu\",\"Zhiqing Wei\",\"Xingwang Li\",\"Yunxin Geng\",\"Qixun Zhang\",\"Zhiyong Feng\"]","published":"2026-07-09T02:52:27Z","proceeding":"eess.SP","tasks":"[\"eess.SP\"]","methods":"[]","has_code":false}