Zhang, C;
Wang, J;
You, L;
Chae, CB;
Wong, KK;
(2025)
Fluid XL-MIMO: Multiuser Antenna Allocation Exploiting the Visibility Region Information.
IEEE Wireless Communications Letters
10.1109/LWC.2025.3630756.
(In press).
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Abstract
Fluid antenna (FA) technology can fully exploit the spatial dimension by adapting antenna positions to reshape multiple-input multiple-output (MIMO) wireless channels. Most existing studies on FA assume consistent channel statistics across the antenna array, which may not hold in spatially non-stationary channels. In this letter, we consider an FA-assisted extra-large MIMO (XL-MIMO) system in which different users have different visibility regions (VRs) over the entire array, and the channel characteristics vary across these VRs. With the goal of maximizing the ergodic downlink sum-rate, we propose a transmission framework consisting of long-term antenna allocation and antenna position optimization, along with short-term precoding. Under this framework, we design multiuser antenna allocation algorithms that exploit VR information for practical scenarios in which users have either non-overlapping or overlapping VRs. Simulation results demonstrate the superiority of leveraging VR information in FA-aided XL-MIMO systems.
| Type: | Article |
|---|---|
| Title: | Fluid XL-MIMO: Multiuser Antenna Allocation Exploiting the Visibility Region Information |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/LWC.2025.3630756 |
| Publisher version: | https://doi.org/10.1109/lwc.2025.3630756 |
| 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: | Resource management, Antennas, Transmitting antennas, Precoding, Optimization, Vectors, Radio frequency, Upper bound, Downlink, Adaptive arrays |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS 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/10218869 |
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