A Mechanical Antenna for Improving Capacity Fairness in Dynamic Multi-Station Scenarios

2026-09-15

AI Summary

本文提出了一种机械天线控制系统，通过自适应优化3D天线方向来解决动态多站场景中传统静态天线部署不优的问题，提高了信道容量和环境变化响应能力。

Abstract

While indoor Internet of Things (IoT) and sensor networks increasingly rely on Wi-Fi access points (APs) to collect high-bandwidth data streams from multiple devices, conventional APs rely on static antenna deployments, whose fixed orientations are often suboptimal in dynamic propagation environments. To overcome this limitation, this paper proposes a mechanical Wi-Fi antenna control system that adaptively optimizes its 3D antenna orientation for dynamic multi-station scenarios. The proposed system autonomously actuates its physical antennas in response to perceived radio environments by combining state-specific black-box optimizers and capacity-based environment change detection. The evaluation results show that the proposed system improves channel capacity under dynamic station combinations, avoids unnecessary re-optimization under transient blockages, and triggers re-optimization after sustained environmental changes such as continuous blockage and device relocation.

Problem

• dynamic multi-station scenarios
• capacity fairness
• mechanical antenna
• Wi-Fi access points
• adaptive optimization

Innovation

• mechanical Wi-Fi antenna
• adaptive 3D orientation
• black-box optimizers
• capacity-based detection
• dynamic multi-station scenarios