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Fluid Antenna Index Modulation Communications

Lookup NU author(s): Dr Tongyang XuORCiD

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Abstract

IEEEThis work explores the integration of fluid antenna systems (FAS) and index modulation (IM) techniques to enhance the adaptability and performance of wireless communication systems. By leveraging software-controllable fluidic elements, fluid antennas enable the real-time adjustment of channel conditions. The introduction of IM allows for the efficient utilization of these dynamically adaptable antennas, exploiting independent channel variations for additional information delivery without occupying data transmission resources. Furthermore, the implementation of a wavelet scattering neural network (WSNN) in the proposed fluid antenna index modulation (FAIM) framework achieves fast classification of index patterns using limited training data. Results reveal that WSNN-assisted FAIM can accurately identify index patterns with better error performance than conventional orthogonal frequency division multiplexing (OFDM) signals, particularly in scenarios with high noise power. These findings suggest promising applications of FAIM in anti-jamming and resilient communication contexts.

Publication metadata

Author(s): Chen Y, Xu T

Publication type: Article

Publication status: Published

Journal: IEEE Wireless Communications Letters

Year: 2024

Pages: epub ahead of print

Online publication date: 14/02/2024

Acceptance date: 02/04/2018

ISSN (print): 2162-2337

ISSN (electronic): 2162-2345

Publisher: Institute of Electrical and Electronics Engineers Inc.

URL: https://doi.org/10.1109/LWC.2024.3366173

DOI: 10.1109/LWC.2024.3366173

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