Near-Field Multiuser Communications Aided by Movable Antennas

• Published in: IEEE wireless communications letters Vol. 14; no. 1; pp. 138 - 142
• Main Authors: Ding, Jingze, Zhu, Lipeng, Zhou, Zijian, Jiao, Bingli, Zhang, Rui
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Antennas; Channel models; Communications systems; Heuristic algorithms; Movable antenna (MA); Near fields; near-field communication; Optimization; Particle swarm optimization; particle swarm optimization (PSO); power minimization; Simulation; Transmitting antennas; Vectors; Wireless communication; Wireless communications
• ISSN: 2162-2337; 2162-2345
• DOI: 10.1109/LWC.2024.3490697

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.