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arXiv 2501.04490eess.SP
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可旋转可移动天线赋能的近场通感一体化

Rotatable and Movable Antenna-Enabled Near-Field Integrated Sensing and Communication

Yunan Sun, Hao Xu, Chongjun Ouyang, Hongwen Yang

AI总结:

本文针对近场通感一体化场景,提出可旋转可移动天线架构,设计两种优化目标的资源分配方案及对应交替优化算法,验证了该架构性能更优且算法可达帕累托边界。

摘要:

本文旨在研究采用可旋转可移动天线(RMA)的近场通感一体化(ISAC)系统性能。在所提出的RMA赋能系统中,基站(BS)端天线的位置与旋转角度可动态调整,以同时提升通信与感知能力。本文探究了两种设计方案:一是以感知为中心的设计,在信干噪比(SINR)约束下最小化克拉美罗界(CRB);二是以通信为中心的设计,在CRB约束下最大化和速率。为求解所构建的优化问题,本文结合半定松弛(SDR)方法与粒子群优化(PSO)方法,提出了两种基于交替优化(AO)的算法。数值结果表明:第一,所提出的RMA赋能系统在感知为中心和通信为中心的两种设计下,性能均优于传统固定位置天线与不可旋转可移动天线系统,且RMA的旋转特性在通信为中心的设计中展现出更高的性能增益;第二,所提出的优化方法在两种设计下均能达到帕累托边界。

英文摘要:

The aim of this article is to investigate the performance of near-field integrated sensing and communication (ISAC) systems using rotatable movable antennas (RMAs). In the proposed RMA-enabled system, the positions and rotations of antennas at the base station (BS) are dynamically adjusted to enhance both communication and sensing capabilities. Two designs are explored: i) a sensing-centric design that minimizes the Cram$\text{é}$r-Rao bound (CRB) with signal-to-interference-plus-noise ratio (SINR) constraints, and ii) a communication-centric design that maximizes the sum-rate with a CRB constraint. To solve the formulated optimization problems, two alternating optimization (AO)-based algorithms are proposed capitalizing on the semidefinite relaxation (SDR) method and the particle swarm optimization (PSO) method. Numerical results demonstrate that: i) the proposed RMA-enabled system outperforms the conventional fixed-position antenna and non-rotatable movable antenna systems in both sensing-centric and communication-centric designs and RMAs' rotations show a higher performance gain in communication-centric design; ii) the proposed optimization methods achieve the Pareto boundary in both sensing-centric and communication-centric designs.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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