Nonlinear channel equalization addresses the mitigation of signal distortions that arise when the transmission medium or hardware elements introduce amplitude and phase deviations that cannot be ...

Traditional SemCom approaches rely on end-to-end trained neural networks (NNs) to build implicit knowledge bases (KBs), which lack interpretability and require full retraining when channel conditions ...

Dr. Andres Kwasinski, professor in the department of computer engineering and program director of the electrical and computer engineering Ph.D. program in the Kate Gleason College of Engineering, is ...