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Robust Deep Learning-based Indoor mmWave Channel Prediction Under Concept Drift

Year: 2023

Type: conference-paper

Source: IEEE Vehicular Technology Conference

DOI: 10.1109/vtc2023-fall60731.2023.10333513

Authors: Eslam Hasan, Elmahedi Mahalal, Muhammad Ismail, Zi-Yang Wu, Mostafa M. Fouda, Tiago Koketsu Rodrigues, Nei Kato

Institutions: Tennessee Technological University, Northeastern University, Idaho State University, Center for Advanced Energy Studies, Tohoku University

Language: English

Topic: Millimeter-Wave Propagation and Modeling

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Science Foundation, National Institute of Information and Communications Technology

OpenAlex ID: W4389544693

FWCI: 7.682

Cites: 20

Cited by: 17

Related to: 10