部分期刊论文：

[J44] Q. Li, B. Chang, W. Mei, and Z. Chen, "Integrated Sensing, Computing, Communication, and Control for Task-Oriented Applications: A Semantic Communication Perspective," submitted to IEEE Journal on Selected Areas in Communications, special issue on Rethinking the Information Identification, Representation, and Transmission Pipeline: New Approaches to Data Compression and Communication.

[J43] W. Mei*, X. Wei, B. Ning, Z. Chen, and R. Zhang, “Movable-Antenna Position Optimization: A Graph-based Approach,” IEEE Wireless Communications Letters, accepted. [Available on arXiv]

[J42] H. Sun, L. Zhu, W. Mei*, and R. Zhang, "Power Measurement Based Channel Estimation for IRS-Enhanced Wireless Coverage," submitted to IEEE Transactions on Wireless Communications.

[J41] Q. Wu, B. Zheng, C. You, L. Zhu, K. Shen, X. Shao, W. Mei, B. Di, H. Zhang, E. Basar, L. Song, M. D. Renzo, Z.-Q. Luo, R. Zhang, "Intelligent Surfaces Empowered Wireless Network: Recent Advances and The Road to 6G," Proceedings of the IEEE, accepted. (Invited Paper) [Available on arXiv]

[J40] S. Sun, F. Yang, W. Mei, J. Song, Z. Han, and R. Zhang, "Channel Estimation for Optical Intelligent Reflecting Surface-Assisted VLC via Non-Uniform Codebook and Joint Space-Time Sampling," submitted to IEEE Journal on Selected Areas in Communications, special issue on Next Generation Advanced Transceiver Technologies.

[J39] M. Fu, W. Mei*, and R. Zhang, “Multi-Passive/Active-IRS Enhanced Wireless Coverage: Deployment Optimization and Cost-Performance Trade-off,” IEEE Transactions on Wireless Communications, early access. [Available on arXiv]

[J38] W. Mei, Z. Chen, and R. Zhang, “Joint Beam Routing and Resource Allocation Optimization for Multi-IRS-Reflection Wireless Power Transfer,” submitted to IEEE Transactions on Wireless Communications. [Available on arXiv]

[J37] B. Ning, W. Mei*, L. Zhu, Z. Chen, and R. Zhang, “Codebook Design and Performance Analysis for Wideband Beamforming in THz Communications,” submitted to IEEE Transactions on Wireless Communications.

[J36] S. Sun, W. Mei, F. Yang, N. An, J. Song, and R. Zhang, "Optical Intelligent Reflecting Surface Assisted MIMO VLC: Channel Modeling and Capacity Characterization," IEEE Transactions on Wireless Communications, vol. 23, no. 3, pp. 2125-2139, Mar. 2024. [Available on arXiv]

[J35] M. Fu, W. Mei*, and R. Zhang, “Multi-Active/Passive-IRS Enabled Wireless Information and Power Transfer: Active IRS Deployment and Performance Analysis,” IEEE Communications Letters, vol. 27, no. 8, pp. 2217-2221, Aug. 2023.  [Available on arXiv]

[J34] P. Wang, W. Mei*, J. Fang, and R. Zhang, “Target-Mounted Intelligent Reflecting Surface for Joint Location and Orientation Estimation,” IEEE Journal on Selected Areas in Communications, special issue on 5G/6G Precise Positioning on Cooperative Intelligent Transportation Systems (C-ITS) and Connected Automated Vehicles (CAV), vol. 41, no. 12, pp. 3768-3782, Dec. 2023. [Available on arXiv]

[J33] B. Ning, Z. Tian, W. Mei, Z. Chen, C. Han, S. Li, J. Yuan, and R. Zhang, “Beamforming Technologies for Ultra-Massive MIMO in Terahertz Communications,” IEEE Open Journal of the Communications Society, vol. 4, pp. 614-658, 2023.

[J32] X. Pang, W. Mei*, N. Zhao, and R. Zhang, "Cellular Sensing via Cooperative Intelligent Reflecting Surfaces," IEEE Transactions on Vehicular Technology, vol. 72, no. 11, pp. 15086-15091, Nov. 2023.

[J31] W. Mei and R. Zhang, “Joint Base Station and IRS Deployment for Enhancing Network Coverage: A Graph-Based Modeling and Optimization Approach,” IEEE Transactions on Wireless Communications, vol. 22, no. 11, pp. 8200-8213, Nov. 2023. [Available on arXiv]

[J30] Y. Huang, W. Mei*, and R. Zhang, “Empowering base stations with co-site intelligent reflecting surfaces: user association, channel estimation and reflection optimization,” IEEE Transactions on Communications, vol. 70, no. 7, pp. 4940-4955, May 2022. [Available on arXiv] 

[J29] X. Pang, W. Mei*, N. Zhao, and R. Zhang, "Intelligent Reflecting Surface Assisted Interference Mitigation for Cellular-Connected UAV," IEEE Wireless Communications Letters, vol. 11, no. 8, pp. 1708-1712, Aug. 2022.

[J28] C. You, B. Zheng, W. Mei, and R. Zhang,  "How to Deploy Intelligent Reflecting Surfaces in Wireless Network: BS-side, User-side, or Both Sides?" Journal of Communications and Information Networks, vol. 7, no. 1, pp. 1-10, March 2022. (Invited Paper，JCIN封面论文)

[J27] W. Mei* and R. Zhang, “Intelligent Reflecting Surface for Multi-Path Beam Routing with Active/Passive Beam Splitting and Combining,” IEEE Communications Letters, vol. 26, no. 5, pp. 1165-1169, May 2022. [Available on arXiv] 

[J26] B. Zheng, C. You, W. Mei, and R. Zhang, "A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications, " IEEE Communications Surveys and Tutorials, vol. 24, no. 2, pp. 1035-1071, Second quarter 2022. [Available on arXiv] (ESI高被引) 

[J25] W. Mei*, B. Zheng, C. You, and R. Zhang, "Intelligent Reflecting Surface Aided Wireless Networks: From Single-Reflection to Multi-Reflection Design and Optimization, " Proceedings of the IEEE, vol. 110, no. 9, pp. 1380-1400, Sep. 2022. (Invited Paper) [Available on arXiv]

[J24] W. Mei* and R. Zhang, “Distributed Beam Training for Intelligent Reflecting Surface Enabled Multi-Hop Routing,” IEEE Wireless Communications Letters, vol. 10, no. 11, pp. 2489-2493, Nov. 2021. [Available on arXiv] 

[J23] W. Mei* and R. Zhang, “Multi-Beam Multi-Hop Routing for Intelligent Reflecting Surfaces Aided Massive MIMO,” IEEE Transactions on Wireless Communications, vol. 21, no. 3, pp. 1897-1912, Mar. 2022. [Available on arXiv] 

[J22]  W. Mei* and R. Zhang, “Cooperative Beam Routing for Multi-IRS Aided Communication,” IEEE Wireless Communications Letters, vol. 10, no. 2, pp. 426-430, Feb. 2021. [Available on arXiv]

[J21]  W. Mei* and R. Zhang, “Performance analysis and user association optimization for wireless network aided by multiple intelligent reflecting surfaces,” IEEE Transactions on Communications, vol. 69, no. 9, pp. 6296-6312, Sept. 2021. [Available on arXiv] 

[J20]  W. Mei* and R. Zhang, “Uplink Cooperative Interference Cancellation for Cellular-Connected UAV: A Quantize-and-Forward Approach,” IEEE Wireless Communications Letters, vol. 9, no. 9, pp. 1567-1571, Sept. 2020. [Available on arXiv] 

[J19]  W. Mei* and R. Zhang, “Aerial-Ground Interference Mitigation for Cellular-Connected UAV,” IEEE Wireless Communications, vol. 28, no. 1, pp. 167-173, Feb. 2021. 

[J18]  W. Mei* and R. Zhang, “UAV-Sensing-Assisted Cellular Interference Coordination: A Cognitive Radio Approach,” IEEE Wireless Communications Letters, vol. 9, no. 6, pp. 799–803, Jun. 2020. [Available on arXiv] 

[J17]  W. Mei* and R. Zhang, “Cooperative NOMA for Downlink Asymmetric Interference Cancellation,” IEEE Wireless Communications Letters, vol. 9, no. 6, pp. 884–888, Jun. 2020. [Available on arXiv] 

[J16]  X. Lin, W. Mei, and R. Zhang, “A New Store-then-Amplify-and-Forward Protocol for UAV Mobile Relaying,” IEEE Wireless Communications Letters, vol. 9, no. 5, pp. 591-595, May 2020. [Available on arXiv] 

[J15]  W. Mei* and R. Zhang, “Cooperative Downlink Interference Transmission and Cancellation for Cellular-Connected UAV: A Divide-and-Conquer Approach,” IEEE Transactions on Communications, vol. 68, no. 2, pp. 1297-1311, Feb. 2020. [Available on arXiv] 

[J14]  W. Mei* and R. Zhang, “Uplink cooperative NOMA for cellular-connected UAV,” IEEE Journal of Selected Topics in Signal Processing, vol. 13, no. 3, pp. 644–656, Jun. 2019. [Available on arXiv] (ESI高被引) 

[J13]  W. Mei, Q. Wu, and R. Zhang, “Cellular-connected UAV: uplink association, power control and interference coordination,” IEEE Transactions on Wireless Communications, vol. 18, no. 11, pp. 5380–5393, Nov. 2019. [Available on arXiv] 

[J12]  Q. Wu, W. Mei* and R. Zhang, “Safeguarding Wireless Networks with UAV: A Physical Layer Security Perspective,’’ IEEE Wireless Communications, vol. 26, no. 5, pp. 12–18, Oct. 2019. [Available on arXiv]  

[J11]  Y. Huang, W. Mei, J. Xu, L. Qiu, and R. Zhang, “Cognitive UAV communication via joint maneuver and power control,” IEEE Transactions on Communications, vol. 67, no. 11, pp. 7872–7888, Nov. 2019. [Available on arXiv] 

[J10]  W. Mei, Z. Chen, and S. Li, "Confidential Broadcasting and Service Integration in Millimeter Wave Systems," IEEE Systems Journal, vol. 13, no. 1, pp. 147-158, Mar. 2019. 

[J9]  W. Mei, Z. Chen, and S. Li, "Physical Layer Service Integration in 5G: Potentials and Challenges," IEEE Access, vol. 6, pp. 16563-16575, 2018. 

[J8]  W. Mei, Z. Chen, L. Li, J. Fang, and S. Li, "On Artificial-Noise-Aided Transmit Design for Multiuser MISO Systems With Integrated Services," IEEE Transactions on Vehicular Technology, vol. 66, no. 9, pp. 8179-8195, Sep. 2017. [Available on arXiv] 

[J7]  W. Mei, Z. Chen, and J. Fang, "Artificial Noise Aided Energy Efficiency Optimization in MIMOME System With SWIPT," IEEE Communications Letters, vol. 21, no. 8, pp. 1795-1798, Aug. 2017. 

[J6]  Q. Wang, Z. Chen, W. Mei, and J. Fang, "Improving Physical Layer Security Using UAV-Enabled Mobile Relaying," IEEE Wireless Communications Letters, vol. 6, no. 3, pp. 310-313, Jun. 2017. 

[J5]  W. Mei, Z. Chen, and J. Fang, "Energy Efficiency Region for Gaussian MISO Channels With Integrated Services," IEEE Wireless Communications Letters, vol. 6, no. 1, pp. 90-93, Feb. 2017. 

[J4]  W. Mei, Z. Chen, and J. Fang, "GSVD-Based Precoding in MIMO Systems With Integrated Services," IEEE Signal Processing Letters, vol. 23, no. 11, pp. 1528-1532, Nov. 2016. [Available on arXiv] 

[J3]  W. Mei, Z. Chen, and J. Fang, "Secrecy Capacity Region Maximization in Gaussian MISO Channels With Integrated Services," IEEE Signal Processing Letters, vol. 23, no. 8, pp. 1146-1150, Aug. 2016.

[J2]  W. Mei, Z. Chen, J. Fang, and S. Li, "Artificial noise-aided biobjective transmitter optimization for service integration in multi-user MIMO broadcast channel," EURASIP Journal on Wireless Communications and Networking, 2017(132). 

[J1] S. Huang, W. Mei*, and S. Fang, "Robust artificial noise-aided transmit optimisation for MISO wiretap channel with device-to-device underlay communication," IET Communications, vol. 12, no. 8, pp. 1019-1027, 2016. 

(*: 通讯作者) 

部分会议论文:

[C22] S. Sun, F. Yang, W. Mei, J. Song and Z. Han, "Spatial Sampling-Based Channel Estimation for Optical IRS-Assisted VLC," submitted to IEEE Globecom.
[C21] D. Wang, W. Mei, Z. Chen, and B. Ning, "Performance Analysis and Reflection Optimization for Wideband THz Double-IRS Aided Wireless Communications," to appear in Proc. IEEE ICC.
[C20] X. Wei, W. Mei, and Z. Chen, "Hybrid Linear and Nonlinear Uplink Cooperative Interference Cancellation for Cellular-Connected UAV," to appear in Proc. IEEE VTC.
[C19] H. Sun, W. Mei, L. Zhu, and R. Zhang, "User Power Measurement Based IRS Channel Estimation via Single-Layer Neural Network," in Proc. IEEE Globecom, Kuala Lumpur, Malaysia, Dec. 2023. [Available on Arxiv]
[C18] B. Ning, W. Mei, L. Zhu, Z. Chen and R. Zhang, "Max-Min Beamformer for THz Wideband Communications," in Proc. IEEE ICC Workshops, Rome, Italy, 2023, pp. 1747-1752. 
[C17] P. Wang, W. Mei, J. Fang, and R. Zhang, "Target-Mounted IRS for Location and Orientation Estimation," in Proc. IEEE Conf. Commun. (ICC), Rome, Italy, May. 2023.
[C16] W. Mei and R. Zhang, "Multi-IRS Deployment Optimization for Enhanced Wireless Coverage: A Performance-Cost Trade-off," in Proc. IEEE Conf. Commun. (ICC), Rome, Italy, May. 2023.
[C15] W. Mei and R. Zhang, “Cooperative Multi-Beam Routing for Multi-IRS Aided Massive MIMO” in Proc. IEEE Conf. Commun. (ICC), Montreal, Canada, Jun. 2021. [Available on arXiv] (ICC Best Paper Award)
[C14] W. Mei and R. Zhang, “Joint Base Station-IRS-User Association in Multi-IRS-Aided Wireless Network” in Proc. IEEE Global Commun. Conf. (Globecom), Taipei, Dec. 2020.
[C13] W. Mei and R. Zhang, “Cooperative Downlink Interference Transmission and Cancellation for Cellular-Connected UAV,” in Proc. IEEE Global Commun. Conf. (Globecom), Waikoloa, HI, USA, Dec. 2019.
[C12] W. Mei, Q. Wu, and R. Zhang, “Cellular-Connected UAV: Uplink Association, Power Control and Interference Coordination,” in Proc. IEEE Global Commun. Conf. (Globecom), Abu Dhabi, UAE, Dec. 2018.
[C11] W. Mei, Z. Chen, and S. Li, “Efficient Implementation of Confidential Broadcasting in Millimeter Wave Systems,” in Proc. IEEE Global Commun. Conf. (Globecom) Wkshps, Singapore, Dec. 2017.
[C10] W. Mei, Z. Chen, and J. Fang, “Outage-Constrained Secure D2D Underlay Communication with Arbitrarily Distributed CSI Uncertainty,” in Proc. IEEE Global Commun. Conf. (Globecom), Singapore, Dec. 2017.
[C9] W. Mei, Z. Chen, J. Fang, and B. Ning, “Energy efficiency optimization for MISO wiretap channels with statistical and imperfect CSI,“ in Proc. IEEE Int. Wkshps. Sig. Proc. Adv. Wireless Commun. (SPAWC), Sapporo, Japan, Jul. 2017.
[C8] W. Mei, Z. Chen, and J. Fang, “Robust Sum Secrecy Rate Optimization for MISO Systems with Device-to-Device Communication,” in Proc. IEEE 85st Vehicular Technology Conference (VTC Spring), Sydney, Jun. 2017.
[C7] W. Mei, Z. Chen, J. Fang, and B. Fu, “Secure D2D-enabled cellular communication against selective eavesdropping,“ in Proc. IEEE Conf. Commun. (ICC), Paris, France, May 2017.
[C6] W. Mei, Z. Chen, and J. Fang, “Sum secrecy rate optimization for MIMOME wiretap channel with artificial noise and D2D underlay communication,“ in Proc. IEEE Conf. Commun. (ICC), Paris, France, May 2017.
[C5] W. Mei, W. Kong, Z. Chen, and J. Fang, “Biobjective transmitter optimization for service integration in MIMO Gaussian broadcast channel,“ in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), New Orleans, Mar. 2017, pp. 3644-3648.
[C4] W. Mei, Z. Chen, and J. Fang, “Robust energy-efficient transmit design for MISOME wiretap channels,“ in Proc. IEEE Global Conf. Signal Info. Process. (GlobalSIP), Washington D.C., Dec. 2016, pp. 981-985.
[C3] W. Mei, L. Li, Z. Chen, and C. Huang, “Artificial-noise aided transmit design for outage constrained service integration,” in Proc. IEEE Conf. Commun. (ICC), Kuala Lumpur, Malaysia, May. 2016.
[C2] W. Mei, Z. Chen, and C. Huang, “Robust artificial-noise aided transmit design for multi-user MISO systems with integrated services,” in Proc. IEEE IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), Shanghai, Mar. 2016, pp. 3856-3860.
[C1] W. Mei, L. Li, Z. Chen, and C. Huang, “Artificial-noise aided transmit design for multi-user MISO systems with integrated services,” in Proc. IEEE Global Conf. Signal Info. Process. (GlobalSIP), Orlando, FL, Dec. 2015, pp. 1382-1386.

智能超表面 (RIS)/智能反射面 (IRS)

• 主要研究课题: 多次反射智能反射面网络 

• 与传统的单次反射IRS系统相比，多次反射IRS系统可以提供更为显著的视距链路分集增益以及协作式波束成形增益，绕开复杂环境中的密集障碍并保证端到端信道质量，进而有效提升无线覆盖范围

• 然而，多次反射IRS系统也面临一系列全新挑战，如对IRS协作式波束成形、波束路由、与用户关联、部署等方面的优化，以及多次反射信道的估计问题等，需要寻找创新方案解决

• 其它研究课题：高频智能反射面技术，智能反射面赋能无线感知，智能反射面赋能无人机通信，智能反射面增强型基站架构等

无人机(UAV)

• 研究课题: 无人机地面网络一体化通信
  

• 通过将无人机作为用户接入5G/6G网络，能够显著改善无人机的通信可靠性与数据传输速率。然而，另一方面，由于空地信道传输条件一般优于地面信道，无人机将会面临更为严重的空地干扰问题

• 由于空地干扰强度高、覆盖区域广等特点，经典干扰抑制方法在应对广域空地干扰问题时存在着诸多局限。因此，需要寻找全新空地干扰抑制方法，实现无人机网络与地面网络的高效融合

• 其它研究课题：无人机轨迹优化，无人机部署优化等

其它

• 协作式非正交多址接入: 通过蜂窝网络回程链路共享用户信息，以实现协作式多用户干扰消除与高谱效非正交多址接入

• 物理层服务融合: 各种服务数据 (例如：保密信息、多播信息、单播信息等) 在物理层利用叠加编码实现单次传输，以提高频谱利用率

• 对于以上问题，采用凸优化算法寻找最优的系统资源分配方案