arXiv Machine Learning August 10, 2026 By Md Tarek Hassan, Dmitry Zelenchuk, Muhammad Ali Babar Abbasi

RIS-Aided mmWave Localization Under Cross-Link Interference via Beam-Domain ML Fingerprinting

Read the original on arXiv Machine Learning →

arXiv:2608. 07444v1 Announce Type: cross Abstract: 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.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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