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.
RHOSI: Efficient Anti-Jamming Resource Allocation with Holographic Surfaces in UAV-enabled ISAC
Pontifical Catholic University of Rio de Janeiro（里约热内卢天主教大学）；University of British Columbia（不列颠哥伦比亚大学）；JuliaSpace LLC（JuliaSpace有限责任公司）；University of York（约克大学）
Discrete-Time CRLB-based Power Allocation for CF MIMO-ISAC with Joint Localization and Velocity Sensing
University of Leicester（莱斯特大学）；Institute for Communication Systems (ICS) of University of Surrey（萨里大学通信系统研究所）；Institute for Communication Systems and Measurement of China（中国通信与测量研究所）；KTH Royal Institute of Technology（瑞典皇家理工学院）；School of Computing and Mathematical Sciences, University of Leicester（莱斯特大学计算与数学科学学院）
CRLB and Parameter Estimation for OFDM-ISAC with Non-Uniform Sparse Resource Allocation
National Mobile Communications Research Laboratory, Southeast University（东南大学）；School of Information Science and Engineering, Hohai University（河海大学）；Purple Mountain Laboratories（紫金山实验室）
Geometry-Aware Resource Allocation for Network-Level ISAC Systems
China Mobile Research Institute（中国移动研究院）；China Mobile Communications Group Co., Ltd.（中国移动通信集团有限公司）；University of Manchester（曼彻斯特大学）；University College London（伦敦大学学院）
Constellation Selection and Power Allocation for Multi-Cell OFDM-ISAC: Managing Inter-Cell Interference and Sensing Sidelobes
University of Manchester（曼彻斯特大学）；Ulsan National Institute of Science and Technology (UNIST)（蔚山科学技术院）；University College London（伦敦大学学院）；University of Southampton（南安普顿大学）
RSMA-Enabled ISAC Networks with Fluid Antenna Systems: Stochastic Geometry Analysis and Low-Complexity Resource Allocation
University of Benghazi（班加西大学）；King Fahd University of Petroleum and Minerals (KFUPM)（法赫德国王石油矿物大学）；Henan Polytechnic University（河南理工大学）；Southeast University（东南大学）；Taif University（塔伊夫大学）
Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target
School of Electrical Engineering, Korea University（韩国大学电气工程学院）；Samsung Electronics（三星电子）；Department of Computer and Artificial Intelligence Engineering, Pukyong National University（釜山国立大学计算机与人工智能工程系）；Department of Mobile Convergence Engineering, Hanbat National University（韩北国立大学移动融合工程系）；Augmented Cognition Meta-Communications ERC Research Center, Korea University（韩国大学增强认知元通信ERC研究中心）
Tensor Decomposition-Based Wireless Sensing for MIMO-OFDM ISAC via Flexible Spatial-Temporal-Spectral Optimization
Nanjing University of Science and Technology（南京理工大学）；Key Laboratory of Near-Range RF Sensing ICs and Microsystems (NJUST), Ministry of Education, School of Electronic and Optical Engineering, Nanjing University of Science and Technology（南京理工大学电子与光学工程学院、近场射频集成电路与微系统教育部重点实验室）；Qian Xuesen College, Nanjing University of Science and Technology（南京理工大学钱学森学院）；College of Communications Engineering, Army Engineering University of PLA（中国人民解放军陆军工程大学通信工程学院）；The Sixty-Third Research Institute, National University of Defense Technology（国防科技大学第六十三研究所）；National University of Singapore（新加坡国立大学）；Department of Electrical and Computer Engineering, National University of Singapore（新加坡国立大学电气与计算机工程系）
