ConSenT: Connected Sensing Techniques: Cooperative Radar Networks Using Joint Radar and Communication Waveforms

目前，信息和通信技术（ICT）占全球温室气体（GHG）排放量的4%。虽然欧盟的脱碳计划要求到2030年将温室气体排放量减少40%，但由于移动的设备和无线网络设施的数量不断增加，预计ICT引起的温室气体排放量将增加。在此背景下，集成传感和通信（ISAC）技术作为一种潜在的解决方案已经获得关注，使得能够将无线硬件再用于传感和通信功能。虽然ISAC的最新进展为无线系统开辟了新的机会，但到目前为止，还没有探索多个ISAC系统的共存和合作以实现具有降低功耗的扩展无线网络。因此，研究项目旨在设计和开发连接传感技术（ConSenT），为即将到来的ISAC网络提供独特的机会。通过协作集成相邻和/或分布式网络实现的增强的感测能力有助于构建powerefficientISAC网络。我们设定了两个目标，以在不同的连接感测场景中提供ConSenT。非相干连接感知方法允许多个ISAC节点通过利用多静态反射进行协作。探讨了ISAC的联合收发设计，为ISAC的网络化奠定了基础.此外，同步ISAC节点的一致性合作进行了研究，以实现最佳的通信和多个ISAC节点的感知指标。ConSenT方法专注于通过利用跨学科的方法来开发节能网络，包括通信和雷达信号处理，发送/接收波束成形优化，随机几何建模和机器学习。该研究项目将导致

Currently, information and communication technology (ICT) accounts for 4% of global greenhouse gas (GHG) emissions. Although EU's decarbonization planrequires 40% reduction of GHG emissions by 2030, those evoked by ICT are predicted to increase due to the growing number of mobile devices and wirelessnetwork facilities. In this context, Integrated sensing and communication (ISAC) technology has been gaining attention as a potential solution, enabling thereuse of wireless hardware for both sensing and communication functionalities. While recent progresses of ISAC open up new opportunities for wirelesssystems, co-existence and cooperation of multiple ISAC systems to realize extended wireless networks with reduced power consumption have not beenexplored to date. Therefore, research project aims to design and develop connected sensing techniques (ConSenT), which provide unique opportunities forupcoming ISAC networks. Enhanced sensing capabilities achieved by cooperatively integrating adjacent and/or distributed networks contribute to build powerefficientISAC networks. We set two objectives to deliver ConSenT in different connected sensing scenarios. Non-coherent connected sensing approach allowsmultiple ISAC nodes cooperating by exploiting multi-static reflections. Joint transceiver design of ISAC is explored to establish the foundation of networkedISACs. Also, coherent cooperation of the synchronized ISAC nodes is investigated to achieve the optimal communication and sensing metrics of the multipleISAC nodes. ConSenT approaches focus on developing energy-efficient networks by exploiting interdisciplinary methodologies, including communication andradar signal processing, transmit/receive beamforming optimization, modeling of stochastic geometry, and machine learning. The research project will result