标题： 极大量全双工MIMO在亚太赫兹频率下同时进行下行通信和单站感知 显示英文标题

标题： Extremely Large Full Duplex MIMO for Simultaneous Downlink Communications and Monostatic Sensing at Sub-THz Frequencies

摘要： 载波内全双工（FD）技术最近引起了广泛关注，因为它作为集成感知与通信（ISAC）新兴范式的使能技术而备受瞩目，ISAC设想将感知机制无缝集成到下一代无线网络中，用于未连接实体。本文提出了一种带有极大规模天线阵列的FD多输入多输出（MIMO）系统，该系统针对同时支持下行链路（DL）通信和基于单发单收的感知操作进行了优化，感知操作旨在亚太赫兹频段进行，后者依赖于接收到的携带信息信号的反射。提出了一种新颖的优化框架，用于联合设计模拟发射波束成形、数字发射波束成形、模拟接收组合以及自干扰信号的数字消除器，目标是在满足被动目标未知三维参数位置误差界限预定义阈值的同时最大化可实现的DL速率。利用移相器全连接网络和超材料部分连接阵列架构的独特特性，提出了两种ISAC设计方案。仿真结果显示了所提出的两种设计方案相对于现有技术方案的优势，突出了各种系统参数在通信和感知功能之间的权衡作用。 显示英文摘要

摘要： The in-band Full Duplex (FD) technology is lately gaining attention as an enabler for the emerging paradigm of Integrated Sensing and Communications (ISAC), which envisions seamless integration of sensing mechanisms for unconnected entities into next generation wireless networks. In this paper, we present an FD Multiple-Input Multiple-Output (MIMO) system with extremely large antenna arrays at its transceiver module, which is optimized, considering two emerging analog beamforming architectures, for simultaneous DownLink (DL) communications and monostatic-type sensing intended at the sub-THz frequencies, with the latter operation relying on received reflections of the transmitted information-bearing signals. A novel optimization framework for the joint design of the analog and digital transmit beamforming, analog receive combining, and the digital canceler for the self-interference signal is devised with the objective to maximize the achievable DL rate, while meeting a predefined threshold for the position error bound for the unknown three-dimensional parameters of a passive target. Capitalizing on the distinctive features of the beamforming architectures with fully-connected networks of phase shifters and partially-connected arrays of metamaterials, two ISAC designs are presented. Our simulation results showcase the superiority of both proposed designs over state-of-the-art schemes, highlighting the role of various system parameters in the trade-off between the communication and sensing functionalities.