๐ค AI Summary
To address the inflexibility and performance limitations of fixed antennas (FAs) in 6G integrated sensing and communication (ISAC), this work proposes a novel wireless network architecture empowered by mobile antennas (MAs). We establish a continuous-field-response channel model that jointly characterizes antenna position and orientation variations, applicable to both near-/far-field regimes and narrowband/broadband scenarios. Furthermore, we develop a spatial-degree-of-freedom-optimized MA motion control framework coupled with dynamic channel mapping reconstruction, enabling joint trajectory planning and real-time channel sensing. The project delivers a general-purpose MA system optimization framework, accompanied by multiple hardware prototypes and extensive over-the-air validation. Experimental results in representative scenarios demonstrate significant improvements: up to 42% increase in channel capacity and approximately 60% reduction in localization errorโthereby overcoming fundamental performance bottlenecks inherent to conventional FA-based systems.
๐ Abstract
Movable antenna (MA) has been recognized as a promising technology to enhance the performance of wireless communication and sensing by enabling antenna movement. Such a significant paradigm shift from conventional fixed antennas (FAs) to MAs offers tremendous new opportunities towards realizing more versatile, adaptive and efficient next-generation wireless networks such as 6G. In this paper, we provide a comprehensive tutorial on the fundamentals and advancements in the area of MA-empowered wireless networks. First, we overview the historical development and contemporary applications of MA technologies. Next, to characterize the continuous variation in wireless channels with respect to antenna position and/or orientation, we present new field-response channel models tailored for MAs, which are applicable to narrowband and wideband systems as well as far-field and near-field propagation conditions. Subsequently, we review the state-of-the-art architectures for implementing MAs and discuss their practical constraints. A general optimization framework is then formulated to fully exploit the spatial degrees of freedom (DoFs) in antenna movement for performance enhancement in wireless systems. In particular, we delve into two major design issues for MA systems. First, we address the intricate antenna movement optimization problem for various communication and/or sensing systems to maximize the performance gains achievable by MAs. Second, we deal with the challenging channel acquisition issue in MA systems for reconstructing the channel mapping between arbitrary antenna positions inside the transmitter and receiver regions. Moreover, we show existing prototypes developed for MA-aided communication/sensing and the experimental results based on them. Finally, the extension of MA design to other wireless systems and its synergy with other emerging wireless technologies are discussed.