Movable Antenna Enhanced Networked Integrated Sensing and Communication System

Integrated sensing and communication (ISAC) is a key technology for future 6G networks. Most existing studies focus on monostatic and/or bistatic setups with limited coverage and capabilities. Networked ISAC systems with distributed base stations (BSs) can overcome these limitations. Moreover, movable antenna (MA) architectures offer improved ISAC performance over fixed-position antennas (FPAs) by enabling adaptable antenna movement. In this paper, we utilize the MA to promote communication capability with guaranteed sensing performance via jointly designing beamforming, power allocation, receiving filters and position configuration of transmit/receive MA towards maximizing the sum rate for both downlink (DL) and uplink (UL) users. The optimization problem is highly difficult due to the unique channel model derived from the position coefficient of the MA. To resolve this challenge, via leveraging the cutting-the-edge majorization-minimization (MM) method, we develop an efficient solution that optimizes all variables via convex optimization techniques. Extensive simulation results verify the effectiveness of our proposed algorithms and demonstrate the substantial performance promotion by deploying the MA framework in the networked ISAC system.

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Publication Details

Journal
IEEE Transactions on Wireless Communications
Published
2025-10-15
DOI
https://doi.org/10.1109/twc.2025.3619214
Citations
3
Primary Topic
Antenna Design and Optimization
Type
article
Field-Weighted Citation Impact
14.98
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article

Movable Antenna Enhanced Networked Integrated Sensing and Communication System

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3 citations
IEEE Transactions on Wireless Communications
Antenna Design and Optimization
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article

Movable Antenna Enhanced Networked Integrated Sensing and Communication System

Kunlun Wang, Qiong Wu, Qingqing Wu, Lexi Xu, Yuan Guo, Wen Chen, Yang Liu, Jun Li
article en
3 citations

Abstract

Integrated sensing and communication (ISAC) is a key technology for future 6G networks. Most existing studies focus on monostatic and/or bistatic setups with limited coverage and capabilities. Networked ISAC systems with distributed base stations (BSs) can overcome these limitations. Moreover, movable antenna (MA) architectures offer improved ISAC performance over fixed-position antennas (FPAs) by enabling adaptable antenna movement. In this paper, we utilize the MA to promote communication capability with guaranteed sensing performance via jointly designing beamforming, power allocation, receiving filters and position configuration of transmit/receive MA towards maximizing the sum rate for both downlink (DL) and uplink (UL) users. The optimization problem is highly difficult due to the unique channel model derived from the position coefficient of the MA. To resolve this challenge, via leveraging the cutting-the-edge majorization-minimization (MM) method, we develop an efficient solution that optimizes all variables via convex optimization techniques. Extensive simulation results verify the effectiveness of our proposed algorithms and demonstrate the substantial performance promotion by deploying the MA framework in the networked ISAC system.

IEEE Transactions on Wireless CommunicationsVol. 25
Jiangnan University (CN), Shanghai Jiao Tong University (CN), Dalian University of Technology (CN), China United Network Communications Group (China) (CN), East China Normal University (CN), Southeast University (CN)
Openalex Percentile: Top 1%
Antenna Design and Optimization
14.98
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