Deep learning based asymmetrical autoencoder for PAPR reduction of CP-OFDM systems
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...
| 出版年: | ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH |
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| 主要な著者: | , , , , , , |
| フォーマット: | Article; Early Access |
| 言語: | English |
| 出版事項: |
ELSEVIER - DIVISION REED ELSEVIER INDIA PVT LTD
2024
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| 主題: | |
| オンライン･アクセス: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001162239300001 |