TY - GEN
T1 - Fluid Antenna-Based Age of Information Performance in UAV-enabled Mobile Edge Computing Networks
AU - Feng, Haoren
AU - Wang, Dawei
AU - Jin, Yi
AU - Li, Li
AU - Zhao, Hongbo
AU - Wang, Mingyang
AU - He, Yixin
AU - Zhou, Fuhui
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper investigates the Age of Information (AoI) performance in Unmanned Aerial Vehicles (UAV)-enabled Mobile Edge Computing (MEC) networks using Fluid Antenna System (FAS). The proposed scheme leverages FAS to dynamically reconfigure antenna positions within a predefined space, thereby achieving significant spatial diversity gains despite the inherent constraints of UAV platforms. Specifically, this paper addresses two key challenges: 1) computational complexity in port selection, which is tackled by a novel algorithm that achieves near-optimal performance while sampling only 1% of the available ports, and 2) limited communication coverage, for which we derive a mathematical expression for the FAS coverage area based on SNR threshold. Extensive simulations demonstrate that UAV equipped with FAS outperforms traditional antenna system, achieving 2-5 times greater communication coverage while reducing the system's average AoI by over 65%. These advancements offer critical performance improvements for time-sensitive applications in UAV-enabled MEC networks, ensuring more efficient and reliable communication.
AB - This paper investigates the Age of Information (AoI) performance in Unmanned Aerial Vehicles (UAV)-enabled Mobile Edge Computing (MEC) networks using Fluid Antenna System (FAS). The proposed scheme leverages FAS to dynamically reconfigure antenna positions within a predefined space, thereby achieving significant spatial diversity gains despite the inherent constraints of UAV platforms. Specifically, this paper addresses two key challenges: 1) computational complexity in port selection, which is tackled by a novel algorithm that achieves near-optimal performance while sampling only 1% of the available ports, and 2) limited communication coverage, for which we derive a mathematical expression for the FAS coverage area based on SNR threshold. Extensive simulations demonstrate that UAV equipped with FAS outperforms traditional antenna system, achieving 2-5 times greater communication coverage while reducing the system's average AoI by over 65%. These advancements offer critical performance improvements for time-sensitive applications in UAV-enabled MEC networks, ensuring more efficient and reliable communication.
KW - Fluid antenna system
KW - UAV-enabled edge computing networks
KW - age of information
UR - https://www.scopus.com/pages/publications/105017702370
U2 - 10.1109/ICCC65529.2025.11148615
DO - 10.1109/ICCC65529.2025.11148615
M3 - 会议稿件
AN - SCOPUS:105017702370
T3 - 2025 IEEE/CIC International Conference on Communications in China:Shaping the Future of Integrated Connectivity, ICCC 2025
BT - 2025 IEEE/CIC International Conference on Communications in China:Shaping the Future of Integrated Connectivity, ICCC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE/CIC International Conference on Communications in China, ICCC 2025
Y2 - 10 August 2025 through 13 August 2025
ER -