UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Port Selection for Fluid Antenna Systems

Chai, Zhi; Wong, Kai-Kit; Tong, Kin-Fai; Chen, Yu; Zhang, Yangyang; (2022) Port Selection for Fluid Antenna Systems. IEEE Communications Letters , 26 (5) pp. 1180-1184. 10.1109/LCOMM.2022.3152451. Green open access

[thumbnail of CL2022-0114.FV.pdf]
Preview
Text
CL2022-0114.FV.pdf - Submitted Version

Download (2MB) | Preview

Abstract

Fluid antenna system promises to obtain enormous diversity in the small space of a mobile device by switching the position of the radiating element to the most desirable position from a large number of prescribed locations of the given space. Previous researches have revealed the promising performance of fluid antenna systems if the position with the maximum received signal-to-noise ratio (SNR) is chosen. However, selecting the best position, referred to as port selection, requires a huge number of SNR observations from the ports and may prove to be infeasible. This letter tackles this problem by devising a number of fast port selection algorithms utilizing a combination of machine learning methods and analytical approximation when the system observes only a few ports. Simulation results illustrate that with only 10% of the ports observed, more than an order of magnitude reduction in the outage probability can be achieved. Even in the extreme cases where only one port is observed, considerable performance improvements are possible using the proposed algorithms.

Type: Article
Title: Port Selection for Fluid Antenna Systems
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/LCOMM.2022.3152451
Publisher version: https://doi.org/10.1109/LCOMM.2022.3152451
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: Antennas, Receiving antennas, Signal to noise ratio, Correlation, Mobile antennas, Machine learning, Switches
UCL classification: 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
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10142828
Downloads since deposit
36Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item