QoS-Aware Integrated Sensing, Communication, and Control with Movable Antenna
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866916891083145216 |
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| author | Wang, Yike Wu, Zhike Chen, Jiang Wang, Chunjie Zhang, Xuhui Shen, Yanyan |
| author_facet | Wang, Yike Wu, Zhike Chen, Jiang Wang, Chunjie Zhang, Xuhui Shen, Yanyan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_07799 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | QoS-Aware Integrated Sensing, Communication, and Control with Movable Antenna Wang, Yike Wu, Zhike Chen, Jiang Wang, Chunjie Zhang, Xuhui Shen, Yanyan Information Theory Signal Processing 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. |
| title | QoS-Aware Integrated Sensing, Communication, and Control with Movable Antenna |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2508.07799 |