Semantic UE Localization for OFDM Transceiver Systems

초록

This paper proposes a semantic localization method for orthogonal frequency division multiplexing (OFDM) transceiver systems with analog beamforming that simultaneously estimates user equipment (UE) position and classifies UE type. The proposed approach employs beam sweeping at both transmitter and receiver to extract angle and range information from reflected signal paths. The received signals undergo appropriate preprocessing before being fed into a classification network to distinguish between human and robotic UE. The classification capability stems from aperture-dependent scattering characteristics inherent to different UE types, which manifest as distinguishable features in the received signal domain. Simulation results demonstrate successful localization and type classification, enabling radio-based environmental awareness for location-based services and digital twin applications.

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