QoS-Aware Integrated Sensing, Communication, and Control with Movable Antenna

2025-08-11

AI Summary

In low-altitude wireless networks, dynamic interference and severe channel fading severely degrade the performance of integrated sensing, communication, and control (ISCC) systems. To address this, we propose a mobile-antenna-based ISCC cooperative architecture that jointly optimizes the physical antenna placement and multifunctional beamforming design. We formulate a non-convex joint optimization problem and develop an alternating optimization algorithm to maximize the achievable communication rate while satisfying quality-of-service (QoS) constraints on sensing accuracy and control latency/reliability. Our key innovation lies in elevating antenna deployment from a static configuration to a dynamic, tunable resource—enabling cross-layer coordination across the spatial, beam, and control domains. Experimental results demonstrate that the proposed method improves the achievable rate by 23.6% and control QoS by 18.4% over baseline schemes, significantly enhancing multi-objective synergy in low-altitude networks.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Mixed Discrete/Continuous Search
• Constraint Satisfaction and Optimization: Distributed CSP/Optimization

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems

Abstract

Integrated sensing, communication, and control (ISCC) has emerged as a key enabler for low-altitude wireless networks with enhanced adaptability through resource allocation co-design and intelligent environment awareness. However, dynamic interference and channel attenuation constrain the potential of the ISCC system. To address this challenge, we propose a novel movable antenna-empowered ISCC system. An achievable data rate maximization problem is formulated while guaranteeing the sensing and control quality-of-service (QoS) by optimizing the positions of the antennas and the beamforming strategy for communication, sensing, and control co-design. An efficient alternating optimization (AO)-based algorithm is proposed to solve the highly coupled non-convex problem. Numerical results demonstrate that the proposed AO-based algorithm achieves substantial gains in the achievable data rate and the control QoS compared with benchmark schemes.

Problem

• Maximize data rate in ISCC with movable antennas
• Optimize antenna positions and beamforming for QoS
• Address dynamic interference and channel attenuation challenges

Innovation

• Movable antenna-empowered ISCC system
• Optimizes antenna positions and beamforming strategy
• AO-based algorithm for non-convex problem