2 publications

• Published Subscription 6 Oct 2026

  Impact of I/Q Imbalance Due to Gain and Phase Mismatcheson IRR, Image Leakage, Constellation Distortion, SNR and BER in OFDM Systems

  By Yashvi Mojidra, Vidhi Sheth, Rizwan Alad, Nirav Desai, Ashish Pandya, Purvang Dalal

  Abstract: Due to its great spectral efficiency and resilience to multipath fading, orthogonal frequency division multiplexing,or OFDM, has become a popular modulation technique in contemporary wireless communication systems.Reliable OFDM reception depends on accurate channel estimate, and methods like Least Squares (LS) andMinimum Mean Square Error (MMSE) estimation are frequently used to make up for channel impairments.However, despite effective channel estimation, practical receiver performance can still be degraded by radio-frequency front-end imperfections, …

  Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article →

• 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 →