近日，电子工程系吴泳澎副教授在国际通信权威期刊IEEE Journal on Selected Areas in Communications和IEEE Network上发表的三篇论文“A Survey of Physical Layer Security for 5G Wireless Networks and Challenges Ahead”，“Computation Rate Maximization in UAV-Enabled Wireless Powered Mobile-Edge Computing Systems,”和“Energy-Efficient NOMA Heterogeneous Cloud Radio Access Networks”同时入选ESI高被引论文，其中一篇为第一作者，两篇为通讯作者。
A survey of physical layer security for 5G wireless networks and challenges ahead
链接：https://ieeexplore.ieee.org/document/8335290
该工作主要针对5G无线通信网络的物理层安全技术进行了全面综述，从物理层安全编码、大规模MIMO、毫米波通信、非正交多址和全双工通信等多个先进技术进行了分析和总结。对5G and beyond的物理层安全技术面临的挑战和未来研究趋势进行了深入讨论。
[1] Y. Wu, A. Khisti, C. Xiao, G. Caire, K.-K. Wong, and X. Gao, "A survey of physical layer security techniques for 5G wireless networks and challenges ahead, " IEEE J. Sel. Area Commun., vol. 36, pp. 679-695, Apr. 2018.

图1 基于物理层安全大规模MIMO网络
Computation Rate Maximization in UAV-Enabled Wireless Powered Mobile-Edge Computing Systems
链接：https://ieeexplore.ieee.org/document/8434285
该论文在无人机辅助无线充电边缘计算网络中提出了最大化计算比特的资源分配方案。论文针对部分加载和二元计算模式分别推导了最佳资源分配策略。全面对比了两种模式下边缘计算网络的计算比特性能。

[2] F. Zhou, Y. Wu, R. Hu, and Y. Qian, "Computation rate maximization in UAV-enabled wireless powered mobile-edge computing systems," IEEE J. Sel. Area Commun., vol. 36, pp. 1927-1941, Sep. 2018.

图2 无人机辅助无线充电边缘计算网络
Energy-Efficient NOMA Heterogeneous Cloud Radio Access Networks
链接：https://ieeexplore.ieee.org/document/8315206
该工作提出了一种基于非正交多址接入机制的绿色异构云无线接入网络架构，有效提升了系统的频谱效率和能量效率。
[3] F. Zhou, Y. Wu, R. Q. Hu, Y. Wang, K. K. Wong, and Y. Cai, "Energy-efficient NOMA heterogeneous cloud radio access networks: Enabling techniques and challenges, " IEEE Network., vol. 32, pp. 152 – 160, Mar. 2018.

图3 基于非正交多址接入机制的绿色异构云无线接入网络架构