Work

Transformer-Based Resource-Efficient Indoor Localization for 5G/6G NLOS-Rich Environments

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Communications workshops

DOI: 10.1109/iccworkshops67674.2025.11162366

Authors: Saad Masrur, Jung-Fu Thomas Cheng, Atieh R. Khamesi, İsmail Güvenç

Institution: North Carolina State University

Language: English

Topic: Indoor and Outdoor Localization Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4414405654

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Cites: 11

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