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Fluid Antenna-Assisted MIMO Transmission Exploiting Statistical CSI

Ye, Yuqi; You, Li; Wang, Jue; Xu, Hao; Wong, Kai-Kit; Gao, Xiqi; (2023) Fluid Antenna-Assisted MIMO Transmission Exploiting Statistical CSI. IEEE Communications Letters 10.1109/LCOMM.2023.3336805. (In press). Green open access

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Abstract

In conventional multiple-input multiple-output (MIMO) communication systems, the positions of antennas are fixed. To take full advantage of spatial degrees of freedom, a new technology called fluid antenna (FA) is proposed to obtain higher achievable rate and diversity gain. Most existing works on FA exploit instantaneous channel state information (CSI). However, in FA-assisted systems, it is difficult to obtain instantaneous CSI since changes in the antenna position will lead to channel variation. In this letter, we investigate a FA-assisted MIMO system using relatively slow-varying statistical CSI. Specifically, in the criterion of rate maximization, we propose an algorithmic framework for transmit precoding and transmit/receive FAs position designs with statistical CSI. Simulation results show that our proposed algorithm in FA-assisted systems significantly outperforms baselines in terms of rate performance.

Type: Article
Title: Fluid Antenna-Assisted MIMO Transmission Exploiting Statistical CSI
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/LCOMM.2023.3336805
Publisher version: http://dx.doi.org/10.1109/lcomm.2023.3336805
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Antenna position optimization, fluid antenna system, MIMO, statistical CSI.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10183700
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