Technology Category
Planning, Routing, and Scheduling: Optimization of Spatio-temporal SystemsSearch and Optimization: ApplicationsMachine Learning: Optimization
Modeling and Optimization for Rotatable Antenna Enabled Wireless Communication
🤖 AI Summary
This paper addresses the minimum SINR maximization problem in multi-user, multipath wireless communication systems. To exploit orientation as a novel spatial degree of freedom, we propose a joint optimization framework based on reconfigurable rotatable antennas (RAs). First, we develop a lightweight three-dimensional geometric channel model for RAs, avoiding computationally intensive modeling of high-dimensional movable antennas. Second, we derive a closed-form solution for the optimal antenna orientation in single-user scenarios. Third, we design an alternating optimization algorithm tailored to multi-user, multipath environments, jointly optimizing receive beamforming (maximum-ratio combining, MRC) and the 3D antenna pointing angles to maximize the minimum SINR across users. Simulation results demonstrate that the proposed scheme significantly outperforms benchmarks—including fixed antennas, randomly oriented antennas, and location-based fluid antenna systems—in terms of minimum SINR, thereby validating both the effectiveness and practicality of orientation as an additional spatial resource.
Technology Category
Application Category
📝 Abstract
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/boresight of each antenna by adjusting its deflection angles to achieve desired channel realizations. Specifically, we study an RA-enabled uplink communication system, where the receive beamforming and the deflection 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 deflection 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 deflection angles in an iterative manner. Simulation results are provided to demonstrate that the proposed RA-enabled system can significantly outperform other benchmark schemes.
Problem
Research questions and friction points this paper is trying to address.
Optimizing rotatable antenna for wireless communication
Maximizing SINR via joint beamforming and deflection
Enhancing performance over fixed-position antenna systems
Innovation
Methods, ideas, or system contributions that make the work stand out.
Rotatable antenna model introduced
Joint optimization of beamforming and angles
Alternating optimization algorithm proposed
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