CORDIS：面向分布式无小区ISAC的可扩展协调资源分配框架
CORDIS: A Scalable Coordinated Resource Allocation Framework for Distributed Cell-Free ISAC
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中文总结 AI 辅助
CORDIS框架通过两种算法（CORDIS-Split和CORDIS-ADMM）在分布式无小区ISAC中协调资源分配，抑制干扰并保持通信性能，实现可扩展且通信高效，接近集中式性能。
中文摘要 AI 辅助
集成感知与通信（ISAC）被视为6G无线网络的关键技术，能够实现频谱和硬件在感知与通信中的联合使用。在多静态无小区架构中，协调分布式接入点（AP）间的波束成形和功率资源对于缓解严重的通信-感知干扰至关重要。现有的大多数ISAC资源分配解决方案依赖于具有完整网络知识的集中式架构，这限制了它们在具有不完美信道状态信息（CSI）的分布式无小区部署中的可扩展性和实用性。本文介绍了一种用于分布式ISAC系统协调资源分配（CORDIS）的框架，该框架在抑制杂波的同时优化网络感知，并维持每用户通信性能约束。开发了两种算法：CORDIS-Split，一种低开销方案，将固定本地波束成形器与集中式功率分配配对；以及CORDIS-ADMM，通过共识交替方向乘子法（ADMM）联合优化波束成形和功率。通过局部化高维矩阵运算，两种算法确保前传开销和每AP计算量独立于天线和AP数量。仿真表明，CORDIS-ADMM接近集中式性能界限，并在CSI估计误差下优雅退化，即使在局部秩亏信道下也保持有效，而CORDIS-Split提供了一种最小开销的替代方案。这些结果证实，CORDIS是去中心化无线网络中稳健ISAC的可扩展且通信高效的基础。
英文摘要
Integrated Sensing and Communication (ISAC) is envisioned as a key technology for 6G wireless networks, enabling the joint use of spectrum and hardware for sensing and communication. In multi-static cell-free architectures, coordinating beamforming and power resources across distributed access points (APs) is critical in order to mitigate severe communication-sensing interference. Most existing ISAC resource allocation solutions rely on centralized architectures with full network knowledge, which limits their scalability and practicality in distributed cell-free deployments with imperfect channel state information (CSI). In this paper, we introduce a framework for COordinated Resource allocation for Distributed ISAC Systems (CORDIS) that optimizes network sensing while suppressing clutter and maintaining per-user communication performance constraints. Two algorithms are developed: CORDIS-Split, a low-overhead scheme that pairs fixed local beamformers with centralized power allocation, and CORDIS-ADMM, which jointly optimizes beamforming and power through the consensus Alternating Direction Method of Multipliers (ADMM). By localizing high-dimensional matrix operations, both algorithms ensure fronthaul overhead and per-AP computation remain independent of antenna and AP counts. Simulations demonstrate that CORDIS-ADMM approaches the centralized performance bound and degrades gracefully under CSI estimation error, remaining effective even with locally rank-deficient channels, while CORDIS-Split offers a minimal-overhead alternative. These results confirm that CORDIS is a scalable and communication-efficient foundation for robust ISAC in decentralized wireless networks.
发表机构
- University of California, Irvine（加州大学尔湾分校）
- University of Luxembourg（卢森堡大学）
- KTH Royal Institute of Technology（皇家理工学院）
机构由 AI 辅助整理，请以论文原文为准。
