Adaptive fluid antenna deployment for improved wireless reliability

IF 1.9 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication Pub Date : 2026-03-01 Epub Date: 2026-01-13 DOI:10.1016/j.phycom.2026.103002

Ahmed S. Alwakeel , Mohamed H. Saad , Mohamed S. Elbakry

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引用次数: 0

Abstract

Fluid Antenna System (FAS) have emerged as a promising solution for improving wireless communication by allowing an antenna’s placement within a device to dynamically adjust to its surroundings. This flexibility improves signal quality, link stability, and spectrum efficiency without requiring the deployment of extra antennas. However, realizing the full potential of FAS necessitates determining the ideal antenna arrangement, which is a difficult, multidimensional challenge driven by user locations and signal propagation parameters. To address this issue, this research proposes using the Whale Optimization Algorithm (WHO) for efficient FAS tuning. WHO automatically searches the solution space for ideal antenna placements that improve network performance while reducing deployment complexity. Simulation results show that WHO outperforms traditional methods such as Gaussian approximation (GA) and Particle Swarm Optimization (PSO), achieving better connection with fewer antennas–only three vs four and five for GA and PSO, respectively. WHO improves convergence by 49.6% compared to GA and reduces inference time by 35% compared to Differential Evolution (DE), making it suitable for real-time, adaptive, and resource-efficient wireless networks.

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自适应流体天线部署，提高无线可靠性

流体天线系统（FAS）是一种很有前途的无线通信解决方案，它允许天线在设备内的位置根据周围环境进行动态调整。这种灵活性提高了信号质量、链路稳定性和频谱效率，而无需部署额外的天线。然而，要充分发挥FAS的潜力，必须确定理想的天线布置，这是一项困难的、多维的挑战，受用户位置和信号传播参数的驱动。为了解决这个问题，本研究提出使用鲸鱼优化算法（WHO）进行有效的FAS调整。世卫组织自动搜索解决方案空间，寻找理想的天线放置位置，以提高网络性能，同时降低部署复杂性。仿真结果表明，WHO优于传统方法，如高斯近似（GA）和粒子群优化（PSO），用更少的天线实现了更好的连接——GA和PSO分别只有3个天线和5个天线。与遗传算法相比，WHO的收敛性提高了49.6%，与差分进化（DE）相比，推理时间缩短了35%，使其适用于实时、自适应和资源高效的无线网络。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS

CiteScore

5.00

自引率

9.10%

发文量

212

审稿时长

55 days

期刊介绍： PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.