arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2408.10552eess.SP
收藏

可移动天线辅助的近场多用户通信

Near-Field Multiuser Communications Aided by Movable Antennas

Jingze Ding, Lipeng Zhu, Zijian Zhou, Bingli Jiao, Rui Zhang

AI总结:

本文提出一种可移动天线辅助的近场多用户下行通信方案,通过优化天线位置以最小化基站发射功率,并采用双循环动态邻域剪枝粒子群优化算法降低计算复杂度,仿真验证了其省电优势。

摘要:

本文研究在近场信道条件下,可移动天线(MA)辅助的下行(DL)多用户通信系统,其中基站(BS)和用户均配备可移动天线,以充分利用天线位置优化中的自由度(DoFs)。我们开发了一个通用信道模型,以准确描述近场区域中的信道特性,并提出了一个MA位置优化问题,在满足用户个体速率约束的前提下,最小化基站的发射功率。为解决该问题,我们提出了一种双循环动态邻域剪枝粒子群优化(DNPPSO)算法,与标准粒子群优化(PSO)算法相比,该算法显著降低了计算复杂度,同时实现了相似的性能。仿真结果验证了所提方案在近场多用户通信中节省功率的有效性和优势。

英文摘要:

This letter investigates movable antenna (MA)-aided downlink (DL) multiuser communication systems under the near-field channel condition, where both the base station (BS) and the users are equipped with MAs to fully exploit the degrees of freedom (DoFs) in antenna position optimization. We develop a general channel model to accurately describe the channel characteristics in the near-field region and formulate an MA-position optimization problem to minimize the BS's transmit power subject to users' individual rate constraints. To solve this problem, we propose a two-loop dynamic neighborhood pruning particle swarm optimization (DNPPSO) algorithm that significantly reduces the computational complexity as compared to the standard particle swarm optimization (PSO) algorithm while achieving similar performance. Simulation results validate the effectiveness and advantages of the proposed scheme in power-saving for near-field multiuser communications.

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。

↑