Wireless Communication with Cross-Linked Rotatable Antenna Array: Architecture Design and Rotation Optimization

TL;DR

This paper introduces a cost-effective cross-linked rotatable antenna array architecture that enhances uplink communication performance through optimized rotation and beamforming, achieving significant gains over fixed-direction antennas.

Contribution

It proposes a novel cross-linked RA structure with joint rotation and beamforming optimization, including algorithms for both element-level and panel-level rotations, improving performance and reducing costs.

Findings

Performance close to flexible orientation scheme with proper design.

Element-level rotation scheme outperforms panel-level by 25%.

Achieves 128% improvement over fixed-direction antennas.

Abstract

Rotatable antenna (RA) technology can harness additional spatial degrees of freedom by enabling the dynamic three-dimensional orientation control of each antenna. Unfortunately, the hardware cost and control complexity of traditional RA systems is proportional to the number of RAs. To address the issue, we consider a cross-linked (CL) RA structure, which enables the coordinated rotation of multiple antennas, thereby offering a cost-effective solution. To evaluate the performance of the CL-RA array, we investigate a CL-RA-aided uplink system. Specifically, we first establish system models for both antenna element-level and antenna panel-level rotation. Then, we formulate a sum rate maximization problem by jointly optimizing the receive beamforming at the base station and the rotation angles. For the antenna element-level rotation, we derive the optimal solution of the CL-RA array under the single-user case. Subsequently, for two rotation schemes, we propose an alternating optimization algorithm to solve the formulated problem in the multi-user case, where the receive beamforming and the antenna rotation angles are obtained by applying the minimum mean square error method and feasible direction method, respectively. In addition, considering the hardware limitations, we apply the genetic algorithm to address the discrete rotation angles selection problem. Simulation results show that by carefully designing the row-column partition scheme, the performance of the CL-RA architecture is quite close to that of the flexible antenna orientation scheme. Moreover, the CL antenna element-level scheme surpasses the CL antenna panel-level scheme by 25% and delivers a 128% performance improvement over conventional fixed-direction antennas.