Fanke Meng

According to our database1, Fanke Meng authored at least 14 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Enhancing IoV Communication: RCAN-based Deep Learning Signal Detection Algorithm for OTFS System.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

2023
Blockchain based trusted execution environment architecture analysis for multi - source data fusion scenario.
J. Cloud Comput., December, 2023

Exploring the performance of the DL-based OTFS detection scheme in Internet of vehicles.
Veh. Commun., October, 2023

ViterbiNet-Based Signal Detection for OTFS System.
IEEE Commun. Lett., March, 2023

Reconfigurable-Intelligent-Surface-Aided OTFS: Transmission Scheme and Channel Estimation.
IEEE Internet Things J., 2023

A Compressive Sensing and Denoising RCAN-Based Channel Estimation Scheme for OTFS System.
Proceedings of the 22nd International Symposium on Communications and Information Technologies, 2023

2022
Residual Learning based Channel Estimation for OTFS system.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2022

Exploring the Performance of Receiver Algorithm in OTFS Based on CNN.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

Gaussian mixture model-based Expectation-Maximization signal processing algorithm in power-efficiency networks.
Proceedings of the IEEE International Conference on Communications, 2022

Blockchain-based User Data Storage And Protection in 5G Core Network.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022

Model-driven Deep Learning Based Channel Estimation for HPO-MIMO.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022

Deep Learning-Based Channel Estimation for HPO-MIMO Systems in IoV Scenario.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022

A novel Channel Estimation Method based on Deep Neural Network for OTFS system.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022

2021
Data-Driven Receiver for OTFS System with Deep Learning.
Proceedings of the 7th IEEE International Conference on Network Intelligence and Digital Content, 2021


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