Deep neural network for orthogonal frequency division multiplexing systems without cyclic prefix transmission

• Published in: MATEC Web of Conferences Vol. 189; p. 4016
• Main Authors: Nguyen, Viet-Hung, Nguyen, Minh-Tuan, Kim, Yong-Hwa
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Les Ulis EDP Sciences 01.01.2018
• Subjects: Artificial neural networks; Interference; Neural networks; Orthogonal Frequency Division Multiplexing

Orthogonal frequency division multiplexing (OFDM) is widely used in wired or wireless transmission systems. In the structure of OFDM, a cycle prefix (CP) has been exploited to avoid the effects of inter-symbol interference (ISI) and inter-carrier interference (ICI). This paper proposes a new approac...