🤖 AI Summary
This work addresses the limitations of backscatter-integrated sensing and communication (ISAC) systems, which suffer from double fading in cascaded links and high sensitivity to geometric misalignment. To overcome these challenges, the study introduces a movable antenna system (MAS) into the ISAC architecture for the first time, enabling real-time, active reconfiguration of the cascaded channel through sub-wavelength-level antenna positioning. This approach achieves geometry-adaptive joint sensing and communication without modifying passive tags or consuming additional spectrum. By eliminating the conventional reliance on fixed geometric layouts, the proposed method significantly enhances link robustness and energy efficiency. System-level simulations demonstrate its superior geometric adaptability and strong application potential in typical Internet-of-Things scenarios.
📝 Abstract
Backscatter-based integrated sensing and communication (B-ISAC) elevates passive tags into information-bearing scatterers, offering an ultra-low-power path toward dual-function wireless systems. However, this promise is fundamentally undermined by a cascaded backscattering link that suffers from severe double fading and is exquisitely sensitive to geometric misalignment. This article tackles this geometric bottleneck by integrating movable antenna systems (MAS) at the transceiver side. MAS provides real-time, controllable spatial degrees of freedom through sub-wavelength antenna repositioning, enabling active reconfiguration of the cascaded channel without modifying passive tags or consuming additional spectrum. We position this solution within a unified ISAC-backscatter communication-B-ISAC evolution, describe the resulting MAS-assisted B-ISAC architecture and operating principles, and demonstrate its system-level gains through comparative analysis and numerical results. Finally, we showcase the potential of this geometry-adaptive paradigm across key IoT application scenarios, pointing toward future motion-aware wireless networks.