In this paper, we present an Integrated Sensing and Communications (ISAC) system enabled by in-band Full Duplex (FD) radios, where a massive Multiple-Input Multiple-Output (MIMO) base station equipped with hybrid Analog and Digital (A/D) beamformers is communicating with multiple DownLink (DL) users, and simultaneously estimates via the same signaling waveforms the Direction of Arrival (DoA) as well as the range of radar targets randomly distributed within its coverage area. Capitalizing on a recent reduced-complexity FD hybrid A/D beamforming architecture, we devise a joint radar target tracking and DL data transmission protocol. An optimization framework for the joint design of the massive A/D beamformers and the Self-Interference (SI) cancellation unit, with the dual objective of maximizing the radar tracking accuracy and DL communication performance, is presented. Our simulation results at millimeter wave frequencies using 5G NR wideband waveforms, showcase the accuracy of the radar target tracking performance of the proposed system, which simultaneously offers increased sum rate compared with benchmark schemes.
翻译:在本文中,我们展示了由带内全复式(FD)无线电台促成的综合遥感和通信系统(ISAC),在这个系统中,配备了混合分析器和数字(A/D)光谱仪的大型多投入多输出基站与多个DownLink(DL)用户通信,同时通过同一信号波形“抵达方向”(DoA)以及在其覆盖区内随机分布的雷达目标范围进行估算。我们利用最近一个简化的FD混合A/D波形结构,设计了一个联合雷达目标跟踪和DL数据传输协议。一个联合设计大型A/D光谱仪和自动互换取消单元的最优化框架,其双重目标是最大限度地提高雷达跟踪准确性和DL通信性能。我们用5GNR宽波形波谱在毫米波频率上的模拟结果,展示了拟议系统的雷达目标跟踪性能的准确性能,与基准计划相比,它同时提供更高的总和率。