Joint Time Scheduling and Port Activation Design for Fluid Antenna-Empowered Wireless Powered Communication Networks

• Published in: IEEE internet of things journal Vol. 12; no. 13; pp. 22904 - 22914
• Main Authors: Mao, Tiantian, Chu, Zheng, Wang, Yi, Zhu, Zhengyu, Hao, Wanming, Mi, De, Pan, Cunhua
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.07.2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antenna design; Antennas; Communication networks; Correlation; Data communication; Energy harvesting; Fluid antenna (FA); Internet of Things; Kuhn-Tucker method; Optimization; port activation; Protocols; Scheduling; Signal to noise ratio; System performance; Throughput; Time division multiple access; time scheduling; Wireless communication; Wireless communications; Wireless networks; wireless powered communication network (WPCN)
• ISSN: 2327-4662; 2327-4662
• DOI: 10.1109/JIOT.2025.3552607

Fluid antenna (FA) is capable of achieving a significant degree of spatial diversity within the limited space of a wireless device by adjusting the radiating elements to optimal positions. In this article, we explore the potential of deploying FAs on the overall performance of wireless powered communication network (WPCN). Specifically, each Internet of Things (IoT) device in WPCN is equipped with a single FA comprising multiple ports. The IoT device (ID) selects the optimal receive port for energy harvesting from the power beacon (PB), followed by choosing the optimal transmit port to send its data to the access point (AP). Our objective is to maximize the sum throughput of IDs by jointly optimizing port activation and time scheduling, subject to constraints on the received signal-to-noise ratio (SNR) of each individual ID and the total transmission time. To tackle this nonconvex problem, we first apply the Lagrange dual method and the Karush-Kuhn-Tucker (KKT) conditions to find the optimal solutions for time slots. Then, we introduce an efficient algorithm based on the alternating optimization (AO) method to iteratively achieve a locally optimal solution for port activation. Additionally, a low-complexity scheme is proposed to minimize computational overhead. Simulation results reveal that incorporating FAs into a WPCN markedly improves the overall system performance, and highlights the benefits of port selection for the FA in comparison to baseline methods.