LAUSR

This article studies antenna selection for an energy-efficient millimeter-Wave (mmWave) dual-functional radar-communication (DFRC) system, communicating with multiple users while sensing a point target. To obtain a hardware efficient DFRC system, we propose an optimization problem that minimizes the Cramér-Rao bound (CRB) for tracking the target while guaranteeing the communication quality of service (QoS), and selects the best active antennas using $\ell _{0}$ norm. To address the non-convexity of the proposed problem, we relax the radar and communication constraints using semidefinite programming (SDP) and employ an $\ell _{1,\infty }$ norm, which promotes group sparsity, instead of the $\ell _{0}$ norm. Numerical results show that the proposed approach obtains better performance in terms of the CRB compared to the conventional approach while reducing the number of radio frequency (RF) chains and total power consumption at the transmitter with almost the same computational complexity.