Journal Paper

• W. Ma, L. Zhu, and R. Zhang, ‘‘Multi-beam forming with movable-antenna array,’’ IEEE Commun. Lett., early access, 2023, doi: 10.1109/LCOMM.2024.3350647.

• L. Zhu, W. Ma, and R. Zhang, ‘‘Movable-antenna array enhanced beamforming: Achieving full array gain with null steering,’’ IEEE Commun. Lett., early access, 2023, doi: 10.1109/LCOMM.2023.3323656.

• W. Ma, L. Zhu, and R. Zhang, ‘‘Compressed sensing based channel estimation for movable antenna communications,’’ IEEE Commun. Lett., early access, 2023, doi: 10.1109/LCOMM.2023.3310535.

• L. Zhu, W. Ma, and R. Zhang, ‘‘Movable antennas for wireless communication: Opportunities and challenges,’’ IEEE Commun. Mag., early access, 2023, doi: 10.1109/MCOM.001.2300212.

• L. Zhu, W. Ma, B. Ning, and R. Zhang, ‘‘Movable-antenna enhanced multiuser communication via antenna position optimization,’’ IEEE Trans. Wireless Commun., early access, 2023, doi: 10.1109/TWC.2023.3338626.

• L. Zhu, W. Ma, and R. Zhang, ‘‘Modeling and performance analysis for movable antenna enabled wireless communications,’’ IEEE Trans. Wireless Commun., early access, 2023, doi: 10.1109/TWC.2023.3330887.

• W. Ma, L. Zhu, and R. Zhang, ‘‘MIMO capacity characterization for movable antenna systems,’’ IEEE Trans. Wireless Commun., early access, 2023, doi: 10.1109/TWC.2023.3307696.

• W. Ma, L. Zhu, and R. Zhang, ‘‘Passive beamforming for 3-D coverage in IRS-assisted communications,” IEEE Wireless Commun. Lett., vol. 11, no. 8, pp. 1763–1767, Aug. 2022.

• X. Shao, C. You, W. Ma, X. Chen, and R. Zhang, ‘‘Target sensing with intelligent reflecting surface: Architecture and performance,’’ IEEE J. Select. Areas Commun., vol. 40, no. 7, pp. 2070–2084, Jul. 2022.

• C. Qi, P. Dong, W. Ma, H. Zhang, Z. Zhang, and G. Y. Li, ‘‘Acquisition of channel state information for mmWave massive MIMO: Traditional and machine learning-based approaches,’’ Sci. China Inf. Sci., vol. 64, no. 8, pp. 1–16, Aug. 2021.

• W. Ma, C. Qi and G. Y. Li, ‘‘High-resolution channel estimation for frequency-selective mmWave massive MIMO systems,’’ IEEE Trans. Wireless Commun., vol. 19, no. 5, pp. 3517–3529, May 2020.

• W. Ma, C. Qi, Z. Zhang and J. Cheng, ‘‘Sparse channel estimation and hybrid precoding using deep learning for millimeter wave massive MIMO,’’ IEEE Trans. Commun., vol. 68, no. 5, pp. 2838–2849, May 2020.

• W. Ma, C. Qi and G. Y. Li, ‘‘Machine learning for beam alignment in millimeter wave massive MIMO,’’ IEEE Wireless Commun. Lett., vol. 9, no. 6, pp. 875–878, June 2020.

• W. Ma and C. Qi, ‘‘Beamspace channel estimation for millimeter wave massive MIMO system with hybrid precoding and combining,’’ IEEE Trans. Signal Process., vol. 66, no. 18, pp. 4839–4853, Sep. 2018.

• W. Ma and C. Qi, ‘‘Channel estimation for 3-D lens millimeter wave massive MIMO system,’’ IEEE Commun. Lett., Vol.21, No.9, pp. 2045–2048, Sep. 2017.

Conference Paper

• L. Zhu, W. Ma, B. Ning, and R. Zhang, ‘‘Multiuser communication aided by movable antenna,’’ IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2023), Shanghai, China, 2023, pp.1–6.

• W. Ma, L. Zhu, and R. Zhang, ‘‘Capacity maximization for movable antenna enabled MIMO communication,’’ IEEE International Conference on Communications (ICC 2023), Rome, Italy, 2023, pp.1–6.

• W. Ma, C. Qi, Z. Zhang and J. Cheng, ‘‘Deep learning for compressed sensing based channel estimation in millimeter wave massive MIMO,’’ The Eleventh International Conference on Wireless Communications and Signal Processing (WCSP 2019), Xi'an, China, Oct. 2019, pp.1-6. (Best Paper Award)

• W. Ma and C. Qi, ‘‘ESPRIT-based channel estimation for frequency-selective millimeter wave massive MIMO system,’’ IEEE International Conference on Communications (ICC 2019), Shanghai, China, May 2019, pp.1–6.

• W. Ma and C. Qi, ‘‘Over-sampled beamspace channel estimation for millimeter wave massive MIMO,’’ IEEE International Conference on Communications (ICC 2018), Kansas City, USA, May 2018, pp.1–6.