RIS-Aided mmWave Localization Under Cross-Link Interference via Beam-Domain ML Fingerprinting
Accurate user equipment (UE) localization is critical for beam management in reconfigurable intelligent surface (RIS)-assisted millimeter-wave (mmWave) based sixth-generation (6G) networks, especially if the direct base-station-UE links are unavailable. This paper proposes a beam-domain fingerprint framework that maps the received signal-to-noise ratio (SNR) across a small set of predefined RIS reflection states to the UE azimuth angle and range, without requiring channel state information (CSI). Crucially, we extend the framework to a realistic interference-impaired scenario in which a nearby cross-link interferer (CLI) corrupts the clean SNR fingerprint, yielding a signal-to-interferenc...
| Authors | Md Tarek Hassan, Dmitry Zelenchuk, Muhammad Ali Babar Abbasi |
|---|---|
| Primary category | eess.SP |
| Published | 7 August 2026 |
| Last updated at source | 7 August 2026 |
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