Beamformer Design and Optimization for Joint Communication and Full-Duplex Sensing at mm-Waves
Beamformer Design and Optimization for Joint Communication and Full-Duplex Sensing at mm-Waves
复制标题
DOI：
10.1109/tcomm.2022.3218623
复制
发表时间：
2022-12
影响因子：
8.3
通讯作者：
Carlos Baquero Barneto;T. Riihonen;S. Liyanaarachchi;M. Heino;N. González-Prelcic;M. Valkama
中科院分区：
文献类型：
--
作者：
Carlos Baquero Barneto;T. Riihonen;S. Liyanaarachchi;M. Heino;N. González-Prelcic;M. Valkama
在这篇文章中，我们研究了毫米波（mm波）移动的通信网络的背景下的联合通信和传感（JCAS）范式。我们专门解决了JCAS的挑战，来自全双工操作在单基地正交频分复用（OFDM）雷达和共存的多个同时波束的通信和传感目的。为此，我们首先制定和解决基于混合波束形成的多用户多输入多输出JCAS系统的波束形成优化问题。要被最大化的成本函数是在感测方向上的波束成形功率，同时约束在通信方向上的波束成形功率，抑制用户间干扰并消除与自干扰（SI）相关的全干扰。然后，我们还提出了新的发射机和接收机波束成形的解决方案，用于纯模拟波束成形的JCAS系统，最大化在感测方向的波束成形增益，同时控制在通信方向的波束成形功率，消除SI以及消除潜在的反射从通信方向和优化组合雷达模式（CRP）。提供了基于封闭形式和数值优化的制剂。我们分析和评估的性能，通过大量的数值实验，并表明，大量的收益和好处，在雷达发射增益，CRP，和SI抑制可以实现与建议的波束形成方法。
In this article, we study the joint communication and sensing (JCAS) paradigm in the context of millimeter-wave (mm-wave) mobile communication networks. We specifically address the JCAS challenges stemming from the full-duplex operation in monostatic orthogonal frequency-division multiplexing (OFDM) radars and from the co-existence of multiple simultaneous beams for communications and sensing purposes. To this end, we first formulate and solve beamforming optimization problems for hybrid beamforming based multiuser multiple-input and multiple-output JCAS systems. The cost function to be maximized is the beamformed power at the sensing direction while constraining the beamformed power at the communications directions, suppressing interuser interference and cancelling full-duplexing related self-interference (SI). We then also propose new transmitter and receiver beamforming solutions for purely analog beamforming based JCAS systems that maximize the beamforming gain at the sensing direction while controlling the beamformed power at the communications direction(s), cancelling the SI as well as eliminating the potential reflection from the communication direction and optimizing the combined radar pattern (CRP). Both closed-form and numerical optimization based formulations are provided. We analyze and evaluate the performance through extensive numerical experiments, and show that substantial gains and benefits in terms of radar transmit gain, CRP, and SI suppression can be achieved with the proposed beamforming methods.