Yafei Wang

Orcid: 0000-0001-9792-3212

Affiliations:
  • Southeast University, Nanjing, China


According to our database1, Yafei Wang authored at least 28 papers between 2022 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
Multi-LEO Satellite Cooperative Transmission: A Spatial-Temporal-Frequency Perspective.
IEEE Wirel. Commun., June, 2026

Multi-Satellite Coordinated Beam Hopping for Interference Mitigation Under Tilted Beam Effects: A Graph-Theoretic Approach.
IEEE Wirel. Commun. Lett., 2026

A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems With Temporal Non-Stationarity.
IEEE Trans. Wirel. Commun., 2026

Tensor-Structured Bayesian Channel Prediction for Upper Mid-Band XL-MIMO Systems.
IEEE Trans. Commun., 2026

Statistical CSI-Based Distributed Precoding Design for OFDM-Cooperative Multi-Satellite Systems.
IEEE J. Sel. Areas Commun., 2026

2025
Toward Unified AI Models for MU-MIMO Communications: A Tensor Equivariance Framework.
IEEE Trans. Wirel. Commun., December, 2025

Unlocking Symbol-Level Precoding Efficiency Through Tensor Equivariant Neural Network.
CoRR, October, 2025

Distributed Beamforming for Multiple LEO Satellites With Imperfect Delay and Doppler Compensations: Modeling and Rate Analysis.
IEEE Trans. Veh. Technol., September, 2025

Polar-Coded Tensor-Based Unsourced Random Access With Soft Decoding.
IEEE Trans. Commun., September, 2025

Time-Continuous Frequency Allocation for Feeder Links of Mega Constellations with Multi-Antenna Gateway Stations.
CoRR, May, 2025

CovNet: Covariance Information-Assisted CSI Feedback for FDD Massive MIMO Systems.
IEEE Wirel. Commun. Lett., March, 2025

Statistical CSI-Based Beamspace Transmission for Massive MIMO LEO Satellite Communications.
Entropy, 2025

Statistical CSI-Based Distributed Precoding for Multi-Satellite Cooperative Transmission.
Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

Dual Transformer-Based Scalable Robust Precoding for Massive MIMO Transmission.
Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

Robust Beamforming Avoiding Satellite Interference in Integrated Terrestrial and Satellite Networks.
Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2025

OLAMCF: Offline Large AI Models Enhanced CSI Feedback in FDD Massive MIMO Systems.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

2024
Soft Demodulator for Symbol-Level Precoding in Coded Multiuser MISO Systems.
IEEE Trans. Wirel. Commun., October, 2024

Beam-Sweeping Design for mmWave Massive Grant-Free Transmission.
IEEE J. Sel. Top. Signal Process., October, 2024

Robust Symbol-Level Precoding for Massive MIMO Communication Under Channel Aging.
IEEE Trans. Wirel. Commun., September, 2024

Joint Beam Alignment and Doppler Estimation for Fast Time-Varying Wideband mmWave Channels.
IEEE Trans. Wirel. Commun., September, 2024

Symbol-Level Precoding for Average SER Minimization in Multiuser MISO Systems.
IEEE Wirel. Commun. Lett., April, 2024

2023
Low-complexity user scheduling for LEO satellite communications.
IET Commun., July, 2023

Energy and Computational Efficient Precoding for LEO Satellite Communications.
Proceedings of the IEEE Global Communications Conference, 2023

Robust Symbol-Level Precoding for MIMO Downlink Transmission With Channel Aging.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Weighted MMSE Precoding for Constructive Interference Region.
IEEE Wirel. Commun. Lett., 2022

Learning Low-Complexity Robust Transceiver for Massive MIMO Downlink with Enhanced Mobility.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

Outage-Constrained Transceiver Power Loading: A Deep Learning Approach to Robust Massive MIMO Downlink.
Proceedings of the 10th IEEE International Black Sea Conference on Communications and Networking, 2022


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