NetISAC: Design and performance analysis of network-level ISAC: More than Integration

几十年来，雷达和通信技术各自独立发展，导致了频谱的广泛相互占用。智能城市带来了高可靠性的传感和通信(S&C)要求，到2025年，连接的设备数量预计将跃升至270亿。S通信系统的独立开发不再是可持续的，并导致了前所未有的频谱和硬件需求。集成传感和通信(ISAC)旨在以硬件、能源、频谱和成本高效的方式为S公司共享无线基础设施。网络级ISAC旨在实现下一代通信、遥感和事件检测。这项建议旨在开发新的性能分析和信号处理技术，以便通过跨学科的研究使具有前景的ISAC网络能够应对几个关键挑战：1)来自S和C业务的干扰的复杂性质需要新的信号处理工具；2)ISAC的网络设计不能更好地作为多小区通信的扩展；3)地面ISAC的有限范围需要它与非地面节点的集成；4)ISAC信道的动态特性需要新的建模框架。为了解决这些问题，NetISAC将跨越多个域，从基本限制到ISAC网络拓扑，再到网络级干扰管理。为了扩大S&C的覆盖范围，申请人将把他在无人机方面的经验应用于国际国资委的网络。最后，将进行概念验证实验来测试所提出的方法。在信号处理和无线通信专家Christos Masouros教授的指导下，申请者将获得ISAC网络的新理论和实验知识。该应用程序在波束形成、轨迹优化和S&C合作方面的专业经验，以及主办方在链路级干扰利用和ISAC方面的领先专业知识，确保了该项目的成功。

Radar and communications technologies have developed independently for decades, resulting in the widespread mutual occupationof the spectrum. Smart cities bring high-reliability sensing and communication (S&C) requirements, with the number of connecteddevices expected to jump to 27 billion by 2025. The independent development of S&C systems is no longer sustainable and leads tounprecedented spectrum and hardware demands. Integrated sensing and communications (ISAC) aim to share wirelessinfrastructures for S&C in hardware-, energy-, spectrum-, and cost-efficient ways. Network-level ISAC is to enable next-generationcommunication, remote sensing, and incident detection. This proposal aims to develop novel performance analysis and signalprocessing techniques to enable promising ISAC networks via interdisciplinary studies, to handle several critical challenges: 1)Complex natures of interference from S&C operations require new signal processing tools, 2) Network design for ISAC cannot betreated as an extension of multi-cell communications, 3) The limited range of terrestrial ISAC necessitates its integration withnonterrestrial nodes, 4) Dynamic natures of ISAC channels necessitate new modelling frameworks. To address these, NetISAC willwork across multiple domains, from fundamental limits to ISAC network topology to network-level interference management. Toenlarge S&C coverage, the applicant will apply his experience in drones to ISAC networks. Finally, proof of concept experiments willbe conducted to test the proposed approaches. Supervised by Prof. Christos Masouros, an expert in signal processing and wirelesscommunications, the applicant will acquire new theoretical and experimental knowledge in ISAC networks. The track record of theapplication's expertise in beamforming, trajectory optimization, and S&C collaboration, with the leading expertise of the host groupin link-level interference exploitation and ISAC, guarantees the success of this project.