5 citations · 9 across the 13 of their papers we have counts for
6 papers · 1 filter
Electromagnetic Neural Network for Direction-of-Arrival Estimation
Shining Lin, Jiancheng An, Lu Gan +4
Accurate and real-time direction of arrival (DOA) estimation is crucial for beamforming in unmanned aerial vehicle (UAV) communication systems. However, the existing high-precision…
Distributed Electromagnetic Neural Networks for Task-Oriented Semantic Communications
Jinbao Li, Jiancheng An, Hao Liu +4
Semantic communications (SemCom) is a promising paradigm that prioritizes the transmission of task-relevant information, thereby enabling superior communication efficiency over tra…
Stacked Intelligent Metasurface-Aided Wave-Domain Signal Processing: From Communications to Sensing and Computing
Jiancheng An, Chau Yuen, Marco Di Renzo +3
Artificial neural networks possess remarkable capabilities for abstract feature extraction, while electromagnetic computing leverages wave propagation to execute complex mathematic…
The Rendezvous Between Extreme Value Theory and Next-generation Networks
Srinivas Sagar, Athira Subhash, Chen-Feng Liu +6
Promising technologies such as massive multiple-input and multiple-output, reconfigurable intelligent reflecting surfaces, non-terrestrial networks, millimetre wave communication,…
Stacked Intelligent Metasurfaces for Task-Oriented Semantic Communications
Guojun Huang, Jiancheng An, Zhaohui Yang +3
Semantic communication (SemCom) leveraging advanced deep learning (DL) technologies enhances the efficiency and reliability of information transmission. Emerging stacked intelligen…
Stacked Intelligent Metasurfaces for Wireless Communications: Applications and Challenges
Hao Liu, Jiancheng An, Xing Jia +6
The rapid growth of wireless communications has created a significant demand for high throughput, seamless connectivity, and extremely low latency. To meet these goals, a novel tec…