Hybrid Beamforming for Millimeter Wave Integrated Sensing and Communications
Jun Gong, Wenchi Cheng, Fangyuan Chen, Jiangzhou Wang
Abstract
The integrated sensing and communications (ISAC) system, which integrates radar sensing and communication into the same hardware platform, has been considered as one of the new paradigms for the sixth-generation wireless networks. In order to significantly increase the communication rate and enhance the sensing accuracy with low cost and power consumption, in this paper the hybrid beamforming for millimeter wave (mmWave) ISAC systems is proposed. The hybrid analog and digital beamforming is jointly optimized to maximize the weighted sum rate (WSR) of communication users while satisfying the sensing target angle Cramér-Rao bound (CRB) constraint and transmit power budget. Based on the weighted minimum mean square error (WMMSE), Riemann conjugate gradient under exact penalty method (EPM-RCG), and successive convex approximation (SCA) methods, an efficient alternating algorithm is developed to optimize the WSR of communication users in the ISAC systems. Numerical results demonstrate the effectiveness of the developed hybrid beamforming for WSR maximization in mmWave ISAC systems.