部分学术研究成果列表如下：
[1] W. Xia, Y. Zhu, L. De
Simone, T. Dagiuklas, K. -K. Wong and G. Zheng, “Multi-Agent Collaborative
Learning for UAV Enabled Wireless Networks,” IEEE Journal on Selected Areas in Communications, vol. 40,
no. 9, pp. 2630-2642, Sept. 2022.
[2] W. Xia, W. Wen, K.
-K. Wong, T. Q. S. Quek, J. Zhang and H. Zhu, "Federated-learning-based
client scheduling for low-latency wireless communications," IEEE
Wireless Communications, vol. 28, no. 2, pp. 32-38, Apr. 2021.
[3] W. Xia, T. Q. S. Quek, K. Guo, W. Wen, H. H. Yang and H. Zhu, “Multi-Armed Bandit
Based Client Scheduling for Federated Learning,” IEEE Transactions on
Wireless Communications, vol. 19, no. 11, pp. 7108-7123, Nov. 2020.
[4] W. Xia, J. Zhang, T. Q. S. Quek, S. Jin and H. Zhu, “Mobile edge cloud-based
industrial Internet of Things: Improving edge intelligence with hierarchical
SDN controllers,” IEEE Vehicular Technology Magazine, vol. 15,
no. 1, pp. 36-45, Mar. 2020.
[5] W. Xia, G. Zheng, Y. Zhu, J. Zhang, J. Wang, and A. P. Petropulu, “A deep
learning framework for optimization of MISO downlink beamforming,” IEEE
Transactions on Communications, vol. 68, no. 3, pp. 1866-1880, Mar.
2020.
[6] W. Xia, G. Zheng, K. Wong and H. Zhu, “Model-driven beamforming neural networks,”
IEEE Wireless Communications, vol. 27, no. 1, pp. 68-75, Feb.
2020.
[7] W. Xia, T. Q. S. Quek, J. Zhang, S. Jin, and H. Zhu, “Programmable hierarchical
C-RAN: From task scheduling to resource allocation,” IEEE Transactions on
Wireless Communications, vol. 18, no. 3, pp. 2003–2016, Mar. 2019.
[8] W. Xia, J. Zhang, T. Q. S. Quek, S. Jin, and H. Zhu, “Power minimization based
joint task scheduling and resource allocation in downlink C-RAN,” IEEE
Transactions on Wireless Communications, vol. 17 no. 11, pp. 7268-7280,
Nov. 2018.
[9] W. Xia, J. Zhang, T. Q. S. Quek, S. Jin, and H. Zhu, “Joint optimization of
fronthaul compression and bandwidth allocation in H-CRAN with large system
analysis,” IEEE Transactions on Communications, vol. 66, no. 12,
pp. 6556-6569, Dec. 2018.
[10] W. Xia, J. Zhang, S. Jin, C.-K. Wen, F. Gao, and H. Zhu, “Large System Analysis
of Resource Allocation in Heterogeneous Networks with Wireless Backhaul,” IEEE
Transactions on Communications, vol. 65, no. 11, pp. 5040–5053, Nov.
2017.
[11] W. Xia, J. Zhang, Shi Jin, and H. Zhu, “Delay-based user association in
heterogeneous networks with backhaul,” China Communications, vol.
14, no. 10, pp. 130-141, Oct. 2017.
[12] W. Xia, X. Zhang, G. Zheng, J. Zhang, S. Jin, and H. Zhu, “The Interplay Between
Artificial Intelligence and Fog Radio Access Networks,” China
Communications, vol. 17, no. 8, pp. 1-13, Aug. 2020.（封面论文）
[13] Y. Duan, J. Zhang, W. Xia, and H. Zhu, “Energy efficiency of
downlink C-RAN with edge caching and fronthaul compression,” IEEE
Communications Letters, vol. 22, no. 12, pp. 2527-2530, Dec. 2018.
[14]
H. Huang, Y. Peng, J. Yang, W.
Xia, and G. Gui, “Fast beamforming design via deep learning,” IEEE
Transactions on Vehicular Technology, vol. 69, no. 1, pp. 1065-1069,
Jan. 2020. (高被引)
[15]
J. Zhang, W. Xia, M.
You, G. Zheng, S. Lambotharan, and K. Wong, “Deep learning enabled optimization
of downlink beamforming under per-antenna power constraints: Algorithms and
experimental demonstration,” IEEE Transactions on Wireless Communications,
vol. 19, no. 6, pp. 3738-3752, June 2020.
[16]
K. Guo, R. Gao, W. Xia and T. Q. S. Quek, “Online
learning based computation offloading in MEC systems with communication and
computation dynamics,” IEEE Transactions on Communications, vol.
69, no. 2, Feb. 2021.
[17]
B. Xu, W. Xia, J. Zhang, T. Q. S. Quek and H. Zhu, “Online client
scheduling for fast federated learning,” IEEE Wireless Communications
Letters, vol. 10, no. 7, pp. 1434-1438, July 2021.
[18]
B. Xu, W. Xia, W. Wen,
P. Liu, H. Zhao, and H. Zhu, “Adaptive hierarchical federated learning over
wireless networks,” IEEE Transactions on Vehicular Technology,
vol. 71, no. 2, pp. 2070-2083, Feb. 2022.
[19]
Y. Zhang, W. Xia, G.
Zheng, H. Zhao, L. Yang,部分学术研究成果列表如下：
[1] W. Xia, Y. Zhu, L. De Simone, T. Dagiuklas, K. -K. Wong and G. Zheng, “Multi-Agent Collaborative Learning for UAV Enabled Wireless Networks,” IEEE Journal on Selected Areas in Communications, vol. 40, no. 9, pp. 2630-2642, Sept. 2022.
[2] W. Xia, W. Wen, K. -K. Wong, T. Q. S. Quek, J. Zhang and H. Zhu, "Federated-learning-based client scheduling for low-latency wireless communications," IEEE Wireless Communications, vol. 28, no. 2, pp. 32-38, Apr. 2021.
[3] W. Xia, T. Q. S. Quek, K. Guo, W. Wen, H. H. Yang and H. Zhu, “Multi-Armed Bandit Based Client Scheduling for Federated Learning,” IEEE Transactions on Wireless Communications, vol. 19, no. 11, pp. 7108-7123, Nov. 2020.
[4] W. Xia, J. Zhang, T. Q. S. Quek, S. Jin and H. Zhu, “Mobile edge cloud-based industrial Internet of Things: Improving edge intelligence with hierarchical SDN controllers,” IEEE Vehicular Technology Magazine, vol. 15, no. 1, pp. 36-45, Mar. 2020.
[5] W. Xia, G. Zheng, Y. Zhu, J. Zhang, J. Wang, and A. P. Petropulu, “A deep learning framework for optimization of MISO downlink beamforming,” IEEE Transactions on Communications, vol. 68, no. 3, pp. 1866-1880, Mar. 2020.
[6] W. Xia, G. Zheng, K. Wong and H. Zhu, “Model-driven beamforming neural networks,” IEEE Wireless Communications, vol. 27, no. 1, pp. 68-75, Feb. 2020.
[7] W. Xia, T. Q. S. Quek, J. Zhang, S. Jin, and H. Zhu, “Programmable hierarchical C-RAN: From task scheduling to resource allocation,” IEEE Transactions on Wireless Communications, vol. 18, no. 3, pp. 2003–2016, Mar. 2019.
[8] W. Xia, J. Zhang, T. Q. S. Quek, S. Jin, and H. Zhu, “Power minimization based joint task scheduling and resource allocation in downlink C-RAN,” IEEE Transactions on Wireless Communications, vol. 17 no. 11, pp. 7268-7280, Nov. 2018.
[9] W. Xia, J. Zhang, T. Q. S. Quek, S. Jin, and H. Zhu, “Joint optimization of fronthaul compression and bandwidth allocation in H-CRAN with large system analysis,” IEEE Transactions on Communications, vol. 66, no. 12, pp. 6556-6569, Dec. 2018.
[10] W. Xia, J. Zhang, S. Jin, C.-K. Wen, F. Gao, and H. Zhu, “Large System Analysis of Resource Allocation in Heterogeneous Networks with Wireless Backhaul,” IEEE Transactions on Communications, vol. 65, no. 11, pp. 5040–5053, Nov. 2017.
[11] W. Xia, J. Zhang, Shi Jin, and H. Zhu, “Delay-based user association in heterogeneous networks with backhaul,” China Communications, vol. 14, no. 10, pp. 130-141, Oct. 2017.
[12] W. Xia, X. Zhang, G. Zheng, J. Zhang, S. Jin, and H. Zhu, “The Interplay Between Artificial Intelligence and Fog Radio Access Networks,” China Communications, vol. 17, no. 8, pp. 1-13, Aug. 2020.（封面论文）
[13] Y. Duan, J. Zhang, W. Xia, and H. Zhu, “Energy efficiency of downlink C-RAN with edge caching and fronthaul compression,” IEEE Communications Letters, vol. 22, no. 12, pp. 2527-2530, Dec. 2018.
[14] H. Huang, Y. Peng, J. Yang, W. Xia, and G. Gui, “Fast beamforming design via deep learning,” IEEE Transactions on Vehicular Technology, vol. 69, no. 1, pp. 1065-1069, Jan. 2020. (高被引)
[15] J. Zhang, W. Xia, M. You, G. Zheng, S. Lambotharan, and K. Wong, “Deep learning enabled optimization of downlink beamforming under per-antenna power constraints: Algorithms and experimental demonstration,” IEEE Transactions on Wireless Communications, vol. 19, no. 6, pp. 3738-3752, June 2020.
[16] K. Guo, R. Gao, W. Xia and T. Q. S. Quek, “Online learning based computation offloading in MEC systems with communication and computation dynamics,” IEEE Transactions on Communications, vol. 69, no. 2, Feb. 2021.
[17] B. Xu, W. Xia, J. Zhang, T. Q. S. Quek and H. Zhu, “Online client scheduling for fast federated learning,” IEEE Wireless Communications Letters, vol. 10, no. 7, pp. 1434-1438, July 2021.
[18] B. Xu, W. Xia, W. Wen, P. Liu, H. Zhao, and H. Zhu, “Adaptive hierarchical federated learning over wireless networks,” IEEE Transactions on Vehicular Technology, vol. 71, no. 2, pp. 2070-2083, Feb. 2022.
[19] Y. Zhang, W. Xia, G. Zheng, H. Zhao, L. Yang, and H. Zhu, “Secure transmission in cell-free massive MIMO with low-resolution DACs over Rician fading channels,” IEEE Transactions on Communications, vol. 70, no. 4, pp. 2606-2621, Apr. 2022.
[20] Y. Zhang, W. Xia, H. Zhao, W. Xu, K.-K. Wong, and L. Yang, “Cell-free IoT networks with SWIPT: performance analysis and power control,” IEEE Internet of Things Journal, vol. 9, no. 15, pp. 13780-13793, Aug. 2022.
[21] H. Zhang, Z. Wang, W. Xia, Y. Ni and H. Zhao, “Weighted adaptive KNN algorithm with historical information fusion for fingerprint Positioning,” IEEE Wireless Communications Letters. vol. 11, no. 5, pp. 1002-1006, May 2022.
[22] Y. Zhang, H. Zhao, W. Xia, J. Zhang, L. Yang and H. Zhu, “Wireless-Powered Cell-Free Massive MIMO with Superimposed Pilot Transmission,” IEEE Communications Letters, vol. 26, no. 7, pp. 1688-1692, July 2022.
[23] W. Wen, Z. Chen, H. H. Yang, W. Xia, and T. Q. S. Quek, “Joint scheduling and resource allocation for hierarchical federated edge learning,” IEEE Transactions on Wireless Communications, vol. 21, no. 8, pp. 5857-5872, Aug. 2022.
[24] Y. Zhang, H. Zhao, W. Xia, F. Gao, L. Yang and H. Zhu, “Superimposed Pilot Transmission in Cell-Free Massive MIMO With Non-Ideal RF Responses,” IEEE Transactions on Vehicular Technology, 2022.
[25] S. Yang, J. Zhang, W. Xia, Y. Ren, H. Yin and H. Zhu, “A Unified Framework for Distributed RIS-Aided Downlink Systems Between MIMO-NOMA and MIMO-SDMA,” IEEE Transactions on Communications, vol. 70, no. 9, pp. 6310-6324, Sept. 2022.
[26] S. Yang, J. Zhang, W. Xia, H. Gao and H. Zhu, “Joint Power and Discrete Amplitude Allocation for STAR-RIS-aided NOMA System,” IEEE Transactions on Vehicular Technology, 2022.
[27] C. Zhang, X. Sun, W. Xia, J. Zhang, H. Zhu and X. Wang, “Deep Learning Based Double-Contention Random Access for Massive Machine-Type Communications,” IEEE Transactions on Wireless Communications, 2022.
[28] X. Zhou, W. Xia, Q. Zhang, J. Zhang and H. Zhu, “Power Allocation of Superimposed Pilots for URLLC with Short-Packet Transmission in IIoT,” IEEE Wireless Communications Letters, 2022.
