Research & Publication

Research Scope
Integration of the state-of-the-art machine/deep learning (ML/DL) algorithms combined with signal processing techniques into wireless communications serves as the bedrock for charting pioneering directions in advancing Next Generation (NextG) wireless communication systems. Hence, our research agenda is directed to carve pathways towards the effective and efficient implementation of ML/DL in the evolutionary trajectory of NextG wireless with applications in 5G Ultra Wideband (5G-UW) ,  6G & beyond (6G&B) and terahertz (THz) communications, i.e., mmWave, especially in physical layer (PHY).

The envisioned progression towards enhancing performance of NextG wireless communication systems requires improvements in the accuracy and efficiency of PHY tasks. For example, this comes to significant importance when there is no definite operating models for channel modeling, estimation and signal equalization in THz communications. Hence, we follow following objectives to integrate ML/DL model into PHY operations:


Since Google Scholar provides a comprehensive record of publications, SMARTEN lab's members' publications list can be accessed accordingly.

Pejman Ghasemzadeh: Google Scholar