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Integrated Communication and Computation Empowered by Fluid Antenna Array
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.ORCID iD: 0009-0006-5283-2839
Beihang University, School of Electronics and Information Engineering, Beijing, China.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.ORCID iD: 0000-0002-5407-0835
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.ORCID iD: 0000-0002-7926-5081
2024 (English)In: 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2024, Institute of Electrical and Electronics Engineers (IEEE) , 2024, p. 276-280Conference paper, Published paper (Refereed)
Abstract [en]

Over-the-air computation (AirComp) stands as a pioneering technology, offering swift wireless data aggregation by leveraging the superposition property inherent in wireless multiple-access channels. In future communication networks, the coexistence of communication and computing is inevitable, given the widespread adoption of wireless data aggregation. Meanwhile, fluid antenna (FA) has recently been considered as a promising technology to further enhance the system performance by exploiting the new degrees of freedom (DoFs) via antennas position movement. In this paper, a FA enhanced integrated communication and computation framework is proposed. Specifically, we undertake joint optimization of transceiver design and antenna position vector (APV) to minimize AirComp mean squared error (MSE) while maintaining the achievable rate of communication above a specified threshold. Numerical results shows superiority of FA arrays over conventional fixed-position antenna arrays (FPA).

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2024. p. 276-280
Keywords [en]
Fluid antenna, interference management, movable antenna, over-the-air computation
National Category
Telecommunications Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-355483DOI: 10.1109/SPAWC60668.2024.10694601ISI: 001337964100056Scopus ID: 2-s2.0-85207092149OAI: oai:DiVA.org:kth-355483DiVA, id: diva2:1909471
Conference
25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2024, Lucca, Italy, September 10-13, 2024
Note

Part of ISBN 979-8-3503-9318-7

QC 20250120

Available from: 2024-10-30 Created: 2024-10-30 Last updated: 2025-01-20Bibliographically approved

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Ye, SicongXiao, MingSkoglund, Mikael

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