Deep learning empowers reconfigurable intelligent surfaces in terahertz communication

The escalating demand for wireless data traffic, driven by the proliferation of internet-of-things devices and broadband multimedia applications, has intensified the search for innovative solutions in wireless communication.

An advance has been reported in the application of reconfigurable intelligent surfaces for terahertz communications. In a research article published in Intelligent Computing, a team of researchers led by Zhen Gao of Beijing Institute of Technology has introduced a novel physical signal processing method that leverages deep learning to enhance the capabilities of reconfigurable intelligent surface in terahertz communication systems.

Reconfigurable intelligent surface is an innovative technology that passively reflects electromagnetic signals in desired directions by adjusting the phase and amplitude of its ...