Deep Recurrent Neural Network Based Detector for OFDM With Index Modulation
Author:
Affiliation:
1. Department of Information and Communication Engineering, Sejong University, Seoul, Republic of Korea
2. Department of Electronics and Communication Engineering, Sejong University, Seoul, Republic of Korea
Funder
National Research Foundation of Korea
Ministry of Science and ICT, South Korea
Institute of Information & Communications Technology Planning & Evaluation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10571910.pdf?arnumber=10571910
Reference48 articles.
1. The history of orthogonal frequency-division multiplexing [History of Communications]
2. Analysis and Simulation of a Digital Mobile Channel Using Orthogonal Frequency Division Multiplexing
3. Orthogonal Frequency Division Multiplexing With Index Modulation
4. Nondata-Aided Joint Channel Estimation and Equalization for OFDM Systems in Very Rapidly Varying Mobile Channels
5. Joint Channel Estimation, Equalization, and Data Detection for OFDM Systems in the Presence of Very High Mobility
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