1 code implementation • 17 Jul 2023 • Jianqiu Wu, Zhongyi Yu, Jianxiong Guo, Zhiqing Tang, Tian Wang, Weijia Jia
Terahertz communication networks and intelligent reflecting surfaces exhibit significant potential in advancing wireless networks, particularly within the domain of aerial-based multi-access edge computing systems.
1 code implementation • 27 Jul 2022 • Mingjie Wang, Jianxiong Guo, Sirui Li, Dingwen Xiao, Zhiqing Tang
Deep neural networks have significantly advanced person re-identification (ReID) applications in the realm of the industrial internet, yet they remain vulnerable.
no code implementations • 6 Nov 2020 • Zhiqing Tang, Tianwei Hou, Yuanwei Liu, Jiankang Zhang, Lajos Hanzo
We finally show that: 1) the expectation of the channel gain in the reflected links is determined both by the number of IRSs and by the Nakagami-m fading parameters; 2) The SOP of both receiver 1 and receiver 2 becomes unity, when the number of IRSs is sufficiently high; 3) The secrecy diversity orders are affected both by the number of IRSs and by the Nakagami-m fading parameters, whereas the high-SNR slopes are not affected by these parameters.