Movable-Antenna Empowered Backscatter ISAC: Toward Geometry-Adaptive, Low-Power Networks
Haohao Zhang, Bowen Gu, Xianhua Yu, Hao Xie, Liejun Wang, Yongjun Xu, Xiaoming Tao, Haijun Zhang
TL;DR
The paper tackles the geometry fragility of backscatter ISAC by introducing movable antenna systems (MAS) at the transceiver side, enabling real-time, sub-wavelength repositioning to reshape the cascaded backscatter channel without altering passive tags. It presents a MAS-empowered B-ISAC architecture, defines four coupled principles (physical, geometric, channel, and system) that enable geometry-aware illumination, angular diversity, and a closed-loop optimization flow, and demonstrates system-level gains through numerical results in urban microcell environments. The work outlines concrete application scenarios—urban transportation, industrial logistics, human-centric sensing, and aerial IoT—and discusses future research directions in channel modeling, joint motion control, scalable coordination, reliability, and security. Overall, this geometry-adaptive paradigm promises robust, low-power sensing-capable networks and positions MAS-assisted B-ISAC as a potential cornerstone of future adaptive, sensing-native wireless infrastructures for IoT and 6G ecosystems.
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.
