用于空海地面网络中集成传感与通信的可移动天线
Movable Antenna for Integrated Sensing and Communication in Air Sea Ground Networks
浏览论文内容
中文总结 AI 辅助
研究空海地面网络中集成传感与通信的可移动天线框架，通过制定多目标优化问题，利用K均值聚类、粒子群优化等方法优化天线子阵列位置和方向及波束成形，相比传统固定天线阵列提升了ISAC性能并实现通信与传感速率权衡。
中文摘要 AI 辅助
集成传感与通信（ISAC）是一种通过利用共享硬件和无线电资源有效结合传感与通信功能的新范式。尽管前景广阔，但ISAC存在相互冲突的波束成形目标以及对相同资源的竞争。可移动天线通过动态位置/方向控制能有效利用空间自由度，提升ISAC系统性能。本文提出了一种用于空海地面网络中ISAC的可移动天线框架。制定了一个多目标优化问题，目标是最大化一组空中、海上和地面设备的通信速率以及一组目标的传感速率。在可移动天线位置和方向的实际约束下，优化天线子阵列的位置和方向以及发射/接收波束成形。基于K均值聚类方法开发了一种解决方案来优化子阵列的方向，并使用粒子群优化将子阵列放置在优化位置。发射和接收波束成形分别采用逐次凸近似和广义特征向量法设计。仿真结果表明，与传统固定天线阵列场景相比，所开发的可移动天线框架提高了ISAC目标，并在通信数据速率和目标传感速率之间提供了显著的权衡。
英文摘要
Integrated sensing and communication (ISAC) is a new paradigm for efficiently combining sensing and communication functionalities by leveraging shared hardware and radio resources. Despite its promise, ISAC yields conflicting beamforming goals and competition over the same resources. Movable antennas enable effective exploitation of spatial degrees of freedom through dynamic position/orientation control, thereby enhancing the performance of ISAC systems. This paper proposes a movable antenna framework for ISAC in air sea ground networks. A multi-objective optimization problem is formulated with the objectives of maximizing the communication rate of a set of aerial, sea, and ground devices and the sensing rate of a set of targets. The location and orientation of the antenna sub-arrays, as well as the transmit/receive beamforming, are optimized under practical constraints on the movable antennas' location and orientation. A solution is developed based on a $K$-means clustering approach to optimize the sub-arrays' orientation and a particle swarm optimization to place the sub-arrays in optimized locations. The transmit and receive beamforming are designed using a successive convex approximation and a generalized eigenvector method, respectively. Simulation results illustrate that the developed movable antenna framework improves the ISAC objective and provides a remarkable trade-off between the communication data rate and the targets' sensing rate when compared with the conventional stationary antenna array scenario.
