Optimizing Movable Antenna Position and Transmissive RIS Phase for Efficient Base Station Design

2025-11-03

AI Summary

To address the challenge of achieving both high performance and low cost in 6G base stations, this paper proposes a compact architecture integrating mobile antennas with transmission-mode reconfigurable intelligent surfaces (TRIS). The core method jointly optimizes the physical positions of antennas and the phase shifts of TRIS unit cells—supporting low-resolution, low-bit control—under near-field conditions for the first time, thereby cooperatively compensating phase quantization errors. By exploiting the spatial degrees of freedom introduced by antenna mobility, the proposed algorithm significantly enhances target-user signal strength and SNR without increasing hardware complexity. Experimental results demonstrate that the scheme achieves performance close to that of ideal continuous-phase control while substantially reducing phase shifter costs. This work establishes a new paradigm for cost-effective and highly flexible next-generation base station deployment.

Technology Category

• Search and Optimization: Algorithm Configuration
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Intelligent Robots: Learning & Optimization for ROB

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Search and Retrieval-Augmented AI: Efficiency and scalability of Web search engines
• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation

Abstract

Movable antennas (MA) and transmissive reconfigurable intelligent surfaces (TRIS) represent two innovative technologies that significantly enhance the flexibility of wireless communication systems. In this paper, we propose a novel and compact base station architecture that synergistically integrates a movable antenna with a transmissive RIS in the near field, enabling joint optimization of antenna positioning and TRIS phase adjustments. The proposed model compensates for phase quantization loss and significantly enhances signal strength, even with low-resolution (1-2 bit) phase shifters. Leveraging this framework, we systematically evaluate system performance as a function of TRIS size and antenna placement. Our results indicate that antenna mobility provides an additional degree of freedom to enhance the desired signal and achieve a higher SNR, particularly when combined with TRIS capabilities. These findings demonstrate that MA-TRIS integration offers a cost-effective and energy-efficient pathway toward compact 6G base stations, combining hardware simplicity with strong performance gains.

Problem

• Jointly optimizing movable antenna position and TRIS phase
• Compensating phase quantization loss with low-resolution shifters
• Enhancing signal strength and SNR for compact 6G base stations

Innovation

• Joint optimization of movable antenna and TRIS phase
• Compensates phase quantization loss with low-resolution shifters
• Enables compact 6G base stations with enhanced SNR