CALAS Team Achieves Major Milestone at IEEE Transactions on Mobile Computing

Congratulations are in order for Simon, Henry, and Mark, who have received a minor revision decision from IEEE Transactions on Mobile Computing (Impact Factor: 9.2) for their innovative paper “SwiftChannel: Algorithm-Hardware Co-Design for Deep Learning-Based 5G Channel Estimation.”

This recognition from one of the field’s premier journals highlights the team’s cutting-edge contributions to next-generation wireless communications.

The research showcases CALAS’s expertise in algorithm-hardware co-design, utilizing RF-SoC FPGA technology to accelerate deep learning-based channel estimation for 5G systems. This interdisciplinary approach bridges advanced machine learning techniques with efficient hardware implementation—a hallmark of our lab’s research philosophy and commitment to practical, high-performance solutions.

A minor revision represents significant progress toward publication in this top-tier venue. We commend Simon, Henry, and Mark for their excellent work and look forward to seeing this innovative research contribute to advancing 5G communication systems. Keep up the outstanding work!Retry