Rotatable Antenna-Enabled Secure Wireless Communication

Rotatable antenna (RA) is a promising technology that exploits new spatial degrees of freedom (DoFs) to improve wireless communication and sensing performance. In this letter, we investigate an RA-enabled secure communication system where confidential information is transmitted from an RA-based access point (AP) to a single-antenna legitimate user in the presence of multiple eavesdroppers. We aim to maximize the achievable secrecy rate by jointly optimizing the transmit beamforming and the deflection angles of all RAs. Accordingly, we propose an efficient alternating optimization (AO) algorithm to obtain a high-quality suboptimal solution in an iterative manner, where the generalized Rayleigh quotient-based beamforming is applied and the RAs' deflection angles are optimized by the successive convex approximation (SCA). Simulation results show that the proposed RA-enabled secure communication system achieves significant improvement in achievable secrecy rate as compared to various benchmark schemes.

Rotatable Antenna Enabled Wireless Communication: Modeling and Optimization

Fluid antenna system (FAS) and movable antenna (MA) have recently emerged as promising technologies to exploit new spatial degrees of freedom (DoFs), which have attracted growing attention in wireless communication. In this paper, we propose a new rotatable antenna (RA) model to improve the performance of wireless communication systems. Different from conventional fixed antennas, the proposed RA system can flexibly alter the three-dimensional (3D) boresight direction of each antenna independently by adjusting its deflection angles to achieve a desired array directional gain pattern. Specifically, we investigate an RA-enabled uplink communication system, where the receive beamforming and the deflection angles of all RAs at the base station (BS) are jointly optimized to maximize the minimum signal-to-interference-plus-noise ratio (SINR) among all the users. In the special single-user and free-space propagation setup, the optimal deflection angles of RAs are derived in closed form with the maximum-ratio combining (MRC) beamformer applied at the BS. Moreover, we analyze the asymptotic performance with an infinite number of antennas based on this solution, which theoretically proves that the RA system can achieve a higher array gain as compared to the fixed-antenna system. In the general multi-user and multi-path channel setup, we first propose an alternating optimization (AO) algorithm to alternately optimize the receive beamforming and the deflection angles of RAs in an iterative manner. Then, a two-stage algorithm that solves the formulated problem without the need for iteration is further proposed to reduce computational complexity. Simulation results are provided to validate our analytical results and demonstrate that the proposed RA system can significantly outperform other benchmark schemes.

Modeling and Optimization for Rotatable Antenna Enabled Wireless Communication

Fluid antenna system (FAS)/movable antenna (MA) has emerged as a promising technology to fully exploit the spatial degrees of freedom (DoFs). In this paper, we propose a new rotatable antenna (RA) model, as a simplified implementation of six-dimensional movable antenna (6DMA), to improve the performance of wireless communication systems. Different from conventional fixed-position antenna (FPA), the proposed RA system can independently and flexibly change the three-dimensional (3D) orientation of each antenna by adjusting its declination angles to achieve desired channel realizations. Specifically, we study an RA-enabled uplink communication system, where the receive beamforming and the declination angles of all RAs are jointly optimized to maximize the minimum signal-to-interference-plus-noise ratio (SINR) among all the users. In the special single-user and free-space propagation setup, the optimal declination angles are derived in closed form with the maximum-ratio combining (MRC) beamformer applied at the base station (BS). In the general multi-user and multi-path setup, we propose an alternating optimization (AO) algorithm to alternately optimize the receive beamforming and the declination angles in an iterative manner. Simulation results are provided to demonstrate that the proposed RA-enabled system can significantly outperform other benchmark schemes.