1 publication

• Published Subscription 31 Aug 2026

  Machine Learning-Based Channel Estimation for 5G NR Systems: A Comprehensive Review of TDL/CDL Channel Models and CNN Architectures

  By Parth Jakhaniya, Ashish Pandya, Rizwan Alad, Nirav Desai, Purvang Dalal

  Abstract: Accurate channel estimation is a fundamental requirement for reliable communications in fifth-generation New Radio (5G NR) systems, where highly dynamic propagation environments impose severe challenges on conventional pilot-based methods. This study provides a thorough analysis of channel estimate methods for 5G NR, including everything from contemporary deep learning (DL) techniques based on Convolutional Neural Networks (CNNs) to traditional Least Squares (LS) and Minimum Mean Square Error (MMSE) estimators. Our analysis …

  Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article →