Name
Abstract | ||
|---|---|---|
Exploiting wavefront curvature enables localization with limited infrastructure and hardware complexity. With the introduction of reconfigurable intelligent surfaces (RISs), new opportunities arise, in particular when the RIS is functioning as a lens receiver. We investigate the localization of a transmitter using a RIS-based lens in close proximity to a single receive antenna element attached to reception radio frequency chain. We perform a Fisher information analysis, evaluate the impact of different lens configurations, and propose a two-stage localization algorithm. Our results indicate that positional beamforming can lead to better performance when a priori location information is available, while random beamforming is preferred when a priori information is lacking. Our simulation results for a moderate size lens operating at 28 GHz showcased that decimeter-level accuracy can be attained within 3 meters to the lens. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICC42927.2021.9500663 | IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021) |
DocType | ISSN | Citations |
Conference | 1550-3607 | 2 |
PageRank | References | Authors |
0.37 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zohair Abu-Shaban | 1 | 50 | 5.91 |
| Kamran Keykhosravi | 2 | 2 | 0.37 |
| Musa Furkan Keskin | 3 | 38 | 9.12 |
| George C. Alexandropoulos | 4 | 2 | 1.39 |
| Gonzalo Seco-Granados | 5 | 726 | 77.29 |
| Henk Wymeersch | 6 | 1589 | 128.47 |