Fan Meng

Orcid: 0000-0002-9769-0057

Affiliations:
  • Purple Mountain Laboratories, Nanjing, China


According to our database1, Fan Meng authored at least 18 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Scalable Deep Reinforcement Learning-Based User Pairing for Cell-Free MIMO Network.
IEEE Wirel. Commun. Lett., 2026

Delay Deterministic Cell-Free MIMO Transmission via Safety Reinforcement Learning.
IEEE Trans. Wirel. Commun., 2026

2025
Joint Optimization of Data- and Model-Driven Probing Beams and Beam Predictor.
IEEE Wirel. Commun. Lett., August, 2025

BFP-Net: A DL-based ISAC beamforming prediction method for extended vehicle.
Veh. Commun., 2025

Two-level Beam Tracking for UAV communications via Data-driven Probalistic Inference.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

2024
Traffic-Aware Hierarchical Beam Selection for Cell-Free Massive MIMO.
IEEE Trans. Commun., October, 2024

TDoA positioning with data-driven LoS inference in mmWave MIMO communications.
Signal Process., 2024

Entropy-based Probing Beam Selection and Beam Prediction via Deep Learning.
CoRR, 2024

2023
Traffic-Aware Hierarchical Beam Selection for Cell-Free Massive MIMO.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

2022
Learning-Aided Beam Prediction in mmWave MU-MIMO Systems for High-Speed Railway.
IEEE Trans. Commun., 2022

Learnable Model-Driven Performance Prediction and Optimization for Imperfect MIMO System: Framework and Application.
CoRR, 2022

Adaptive mm Wave Beam Tracking in 3D Scenes via Multi - Agent Deep Q Learning.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

Learning to Predict and Optimize Imperfect MIMO System Performance: Framework and Application.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Learning-Aided Beam Management for mmWave High-Speed Railway Networks.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Power Allocation in Multi-User Cellular Networks: Deep Reinforcement Learning Approaches.
IEEE Trans. Wirel. Commun., 2020

2018
Automatic Modulation Classification: A Deep Learning Enabled Approach.
IEEE Trans. Veh. Technol., 2018

NN-based IDF demodulator in band-limited communication system.
IET Commun., 2018

Power Allocation in Multi-user Cellular Networks With Deep Q Learning Approach.
CoRR, 2018


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