Deep learning based asymmetrical autoencoder for PAPR reduction of CP-OFDM systems

• Main Authors: Abdullah, Ezmin, Dimyati, Kaharudin, Muhamad, Wan Norsyafizan W., Shuhaimi, Nurain Izzati, Mohamad, Roslina, Hidayat, Nabil M.
• Format: Article
• Published: Elsevier 2024
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/45780/; https://doi.org/10.1016/j.jestch.2023.101608

Adoption of Orthogonal Frequency Division Multiplexing (OFDM) in 5th Generation New Radio (5G NR) as a multicarrier modulation technique allows high data rate transmission with lower complexity. However, problem such as peak to average power ratio (PAPR) has decreased the transmitter efficiency. Rec...