Deep Learning-Assisted Multi-Dimensional Modulation and Resource Mapping for Advanced OFDM Systems

2018 IEEE Globecom Workshops (GC Wkshps) ◽

10.1109/glocomw.2018.8644281 ◽

2018 ◽

Author(s):

Junghyun Kim ◽

Byungju Lee ◽

Hyojin Lee ◽

Younsun Kim ◽

Juho Lee

Keyword(s):

Deep Learning ◽

Ofdm Systems ◽

Resource Mapping

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Using Channel State Information for Physical Tamper Attack Detection in OFDM Systems: A Deep Learning Approach

IEEE Wireless Communications Letters ◽

10.1109/lwc.2021.3072937 ◽

2021 ◽

pp. 1-1

Author(s):

Eshagh Dehmollaian ◽

Bernhard Etzlinger ◽

Nuria Ballber Torres ◽

Andreas Springer

Keyword(s):

Deep Learning ◽

Channel State Information ◽

Attack Detection ◽

Learning Approach ◽

Ofdm Systems ◽

Channel State ◽

State Information

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Deep Learning based Nonlinear Equalization for DCO-OFDM Systems

10.1109/iceemt52412.2021.9602129 ◽

2021 ◽

Author(s):

Pu Miao ◽

Weibang Yin ◽

Hui Peng ◽

Yu Yao

Keyword(s):

Deep Learning ◽

Ofdm Systems ◽

Nonlinear Equalization

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Improved Deep Learning in OFDM Systems With Imperfect Timing Synchronization

2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) ◽

10.1109/vtc2020-spring48590.2020.9129473 ◽

2020 ◽

Author(s):

Ziming He ◽

Xuan Huang

Keyword(s):

Deep Learning ◽

Timing Synchronization ◽

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Deep Learning Assisted Channel Estimation Refinement in Uplink OFDM Systems Under Time-Varying Channels**This work was supported in part by the National Natural Science Foundation of China (No. 61871327, 61801218 and 61701407), the Natural Science Basic Research Plan in Shaanxi Province of China (No.2018JM6037 and 2018JQ6017),

2021 International Wireless Communications and Mobile Computing (IWCMC) ◽

10.1109/iwcmc51323.2021.9498717 ◽

2021 ◽

Author(s):

Rugui Yao ◽

Qiannan Qin ◽

Shengyao Wang ◽

Nan Qi ◽

Ye Fan ◽

...

Keyword(s):

Deep Learning ◽

Channel Estimation ◽

Natural Science ◽

Basic Research ◽

Shaanxi Province ◽

Time Varying ◽

Ofdm Systems ◽

Research Plan ◽

Time Varying Channels

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Model-Driven Deep Learning-Based Signal Detector for CP-Free MIMO-OFDM Systems

2021 IEEE International Conference on Communications Workshops (ICC Workshops) ◽

10.1109/iccworkshops50388.2021.9473616 ◽

2021 ◽

Author(s):

Xingyu Zhou ◽

Jing Zhang ◽

Chao-Kai Wen ◽

Jun Zhang ◽

Shi Jin

Keyword(s):

Deep Learning ◽

Ofdm Systems ◽

Model Driven ◽

Signal Detector ◽

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Signal Detection Scheme Based on Deep Learning in OFDM systems

2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT) ◽

10.1109/icicict46008.2019.8993305 ◽

2019 ◽

Author(s):

Pooia P Anil ◽

Renu Jose

Keyword(s):

Deep Learning ◽

Signal Detection ◽

Ofdm Systems ◽

Detection Scheme

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Deep Learning Aided Signal Detection in OFDM Systems with Time-Varying Channels*

2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) ◽

10.1109/pacrim47961.2019.8985060 ◽

2019 ◽

Author(s):

Rugui Yao ◽

Shengyao Wang ◽

Xiaoya Zuo ◽

Juan Xu ◽

Nan Qi

Keyword(s):

Deep Learning ◽

Signal Detection ◽

Time Varying ◽

Ofdm Systems ◽

Time Varying Channels

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Pilot-Assisted MIMO-V-OFDM Systems: Compressed Sensing and Deep Learning Approaches

IEEE Access ◽

10.1109/access.2020.2964046 ◽

2020 ◽

Vol 8 ◽

pp. 7142-7159

Author(s):

Wei Zhang ◽

Xuyang Gao ◽

Zhipeng Li ◽

Yibing Shi

Keyword(s):

Deep Learning ◽

Compressed Sensing ◽

Learning Approaches ◽

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Deep learning‐based pilot‐assisted channel state estimator for OFDM systems

IET Communications ◽

10.1049/cmu2.12051 ◽

2020 ◽

Author(s):

Mohamed Hassan Essai Ali

Keyword(s):

Deep Learning ◽

Ofdm Systems ◽

State Estimator ◽

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Deep Learning Based Stacked Sparse Autoencoder for PAPR Reduction in OFDM Systems

Intelligent Automation & Soft Computing ◽

10.32604/iasc.2022.019473 ◽

2022 ◽

Vol 31 (1) ◽

pp. 311-324

Author(s):

A. Jayamathi ◽

T. Jayasankar

Keyword(s):

Deep Learning ◽

Papr Reduction ◽

Ofdm Systems ◽

Sparse Autoencoder ◽

Stacked Sparse Autoencoder

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