TY - GEN
T1 - Energy Efficient Fluid Antenna Relay (FAR)-Assisted Wireless Networks
AU - Xu, Ruopeng
AU - Chen, Mingzhe
AU - Yang, Zhaohui
AU - Zhang, Zhaoyang
AU - Wong, Kai Kit
AU - Chae, Chan Byoung
AU - Poor, H. Vincent
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper investigates the energy efficiency (EE) of the fluid antenna relay (FAR)-assisted wireless communication systems in non-line-of-sight (NLoS) scenarios. Unlike conventional fixed-position antenna systems, the FAR dynamically adjusts the spatial positions of fluid antennas (FAs), enabling efficient signal transmission through blockages. By integrating the amplify-and-forward (AF) protocol, the proposed FAR architecture amplifies and forwards signals while controlling phase shifts via FA reconfiguration. An optimization problem is formulated to maximize the system EE under given constraints. The problem is decomposed into three sub-problems including large-scale fading optimization, small-scale fading optimization, and joint power control and beamforming design optimization. These subproblems are solved iteratively with successive convex approximation (SCA) and Dinkelbach methods. Numerical simulation results demonstrate that the proposed algorithm significantly outperforms the existing STAR-RIS and AF relay schemes, improving EE of the system by up to 29.92% and 45.04%, respectively. The work in this paper bridges the research gap in FAS research with NLoS challenges and provides a framework for future FAR-enabled wireless communication systems.
AB - This paper investigates the energy efficiency (EE) of the fluid antenna relay (FAR)-assisted wireless communication systems in non-line-of-sight (NLoS) scenarios. Unlike conventional fixed-position antenna systems, the FAR dynamically adjusts the spatial positions of fluid antennas (FAs), enabling efficient signal transmission through blockages. By integrating the amplify-and-forward (AF) protocol, the proposed FAR architecture amplifies and forwards signals while controlling phase shifts via FA reconfiguration. An optimization problem is formulated to maximize the system EE under given constraints. The problem is decomposed into three sub-problems including large-scale fading optimization, small-scale fading optimization, and joint power control and beamforming design optimization. These subproblems are solved iteratively with successive convex approximation (SCA) and Dinkelbach methods. Numerical simulation results demonstrate that the proposed algorithm significantly outperforms the existing STAR-RIS and AF relay schemes, improving EE of the system by up to 29.92% and 45.04%, respectively. The work in this paper bridges the research gap in FAS research with NLoS challenges and provides a framework for future FAR-enabled wireless communication systems.
UR - https://www.scopus.com/pages/publications/105036331541
UR - https://www.scopus.com/pages/publications/105036331541#tab=citedBy
U2 - 10.1109/GLOBECOM59602.2025.11431659
DO - 10.1109/GLOBECOM59602.2025.11431659
M3 - Conference contribution
AN - SCOPUS:105036331541
T3 - Proceedings - IEEE Global Communications Conference, GLOBECOM
SP - 6418
EP - 6423
BT - GLOBECOM 2025 - 2025 IEEE Global Communications Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE Global Communications Conference, GLOBECOM 2025
Y2 - 8 December 2025 through 12 December 2025
ER -