Wang, R;
Chen, Y;
Hou, Y;
Wong, KK;
Tao, X;
(2023)
Estimation of Channel Parameters for Port Selection in Millimeter-Wave Fluid Antenna Systems.
In:
2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops).
IEEE: Dalian, China.
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Abstract
The fluid antenna system (FAS) exploits spatial diversity by adjusting a reconfigurable antenna to a position/port with the highest channel gain, and the FAS has the potential to promote the development of 6G technology [1]. Conventionally, the optimal port is chosen when all the ports are observed and all the channels are estimated, which can be impractical when the port number is large. In this paper, we propose a new method based on the least squares regression to estimate channel parameters in a multi-ray millimeter-wave (mmWave) FAS. In particular, we first estimate the channel gains at a number of ports (shall be greater than or equal to the number of paths) and then use these estimated data to reconstruct the above channel as well as to select the FAS’ best port. By using our method, the number of required channel estimates can be massively reduced. More importantly, simulation results show that our method achieves a close performance compared with the conventional method, in terms of the outage probability.
| Type: | Proceedings paper |
|---|---|
| Title: | Estimation of Channel Parameters for Port Selection in Millimeter-Wave Fluid Antenna Systems |
| Event: | IEEE/CIC International Conference on Communications in China (ICCC Workshops) |
| ISBN-13: | 9798350345407 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ICCCWorkshops57813.2023.10233765 |
| Publisher version: | https://doi.org/10.1109/ICCCWorkshops57813.2023.10... |
| 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: | Fluid antenna system, port selection, channel estimation, Vandermonde matrix, outage probability, 6G. |
| 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-pp.ucl.ac.uk/id/eprint/10178489 |
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