Ke Ma

According to our database, Ke Ma authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Learning Empowered CSI Acquisition and Feedback for B5G Wireless Systems.

Ke Ma, Yiliang Sang, Yang Ming, Jin Lian, Chang Tian, Zhaocheng Wang

IEEE Trans. Commun., November, 2024

Loss Function Fusion for Learning-Based CSI Extrapolation Enhancement.

Lebin Yao, Ke Ma, Yang Ming, Zhaocheng Wang

IEEE Wirel. Commun. Lett., August, 2024

TypeII-CsiNet: CSI Feedback with TypeII Codebook.

Yiliang Sang, Ke Ma, Yang Ming, Jin Lian, Zhaocheng Wang

Proceedings of the IEEE International Conference on Communications, 2024

2023

Deep Learning for mmWave Beam-Management: State-of-the-Art, Opportunities and Challenges.

Ke Ma, Zhaocheng Wang, Wenqiang Tian, Sheng Chen, Lajos Hanzo

IEEE Wirel. Commun., August, 2023

Continuous-Time mmWave Beam Prediction With ODE-LSTM Learning Architecture.

Ke Ma, Fan Zhang, Wenqiang Tian, Zhaocheng Wang

IEEE Wirel. Commun. Lett., 2023

Deep Learning Assisted mmWave Beam Prediction for Heterogeneous Networks: A Dual-Band Fusion Approach.

Ke Ma, Shouliang Du, Haoming Zou, Wenqiang Tian, Zhaocheng Wang, Sheng Chen

IEEE Trans. Commun., 2023

Deep Learning Empowered Type-II Codebook: New Paradigm for Enhancing CSI Feedback.

Ke Ma, Yiliang Sang, Yang Ming, Jin Lian, Chang Tian, Zhaocheng Wang

CoRR, 2023

Efficient Power Allocation in Coded MIMO Systems.

Haochen Wu, Ke Ma, Yang Ming, Ziyuan Sha, Zhaocheng Wang

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Improving the Performance of R17 Type-II Codebook with Deep Learning.

Ke Ma, Yiliang Sang, Yang Ming, Jin Lian, Chang Tian, Zhaocheng Wang

Proceedings of the IEEE Global Communications Conference, 2023

2022

Deep Learning Assisted Adaptive mmWave Beam Tracking: A Sum-Probability Oriented Methodology.

Ke Ma, Haoming Zou, Chen Sun, Zhaocheng Wang

Proceedings of the IEEE Global Communications Conference, 2022

2021

Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave Communication Systems.

Ke Ma, Dongxuan He, Hancun Sun, Zhaocheng Wang, Sheng Chen

IEEE Trans. Commun., 2021

Deep Learning for Beam Management: Opportunities, State-of-the-Arts and Challenges.

Ke Ma, Zhaocheng Wang, Wenqiang Tian, Sheng Chen, Lajos Hanzo

CoRR, 2021

Deep Learning Assisted mmWave Beam Prediction with Prior Low-frequency Information.

Ke Ma, Dongxuan He, Hancun Sun, Zhaocheng Wang

Proceedings of the ICC 2021, 2021

2020

Virtual Angular-Domain Channel Estimation for FDD Based Massive MIMO Systems With Partial Orthogonal Pilot Design.

Peiyao Zhao, Ke Ma, Zhaocheng Wang, Sheng Chen

IEEE Trans. Veh. Technol., 2020

Deep Learning Assisted Beam Prediction Using Out-of-Band Information.

Ke Ma, Peiyao Zhao, Zhaocheng Wang

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

2019

Three-Dimensional Visible Light Positioning Using Regression Neural Network.

Peixi Liu, Tianqi Mao, Ke Ma, Jiaxuan Chen, Zhaocheng Wang

Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019