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Academic Experts
Ms. Jyoti Deshwal Yadav

Biography

Jyoti Yadav is currently pursuing her Ph.D. at the Jaypee Institute of Information Technology (JIIT), Noida, where her research focuses on advanced communication systems, machine learning, and next-generation wireless networks. She has academic experience as an Assistant Professor at Bharati Vidyapeeth’s College of Engineering (BVCOE), Delhi, where she served from August 2015 to December 2017, contributing to teaching, mentoring, and research in the field of electronics and communication engineering.

Prior to her academic career, Jyoti gained industry experience as a Software Engineer at HCL Technologies, where she worked from July 2011 to June 2013, honing her technical and professional expertise in software development and engineering practices. With a blend of academic research, teaching experience, and industry exposure, Jyoti is dedicated to advancing knowledge in wireless communication, signal processing, and artificial intelligence applications in 6G networks.

Research Highlights

My research addresses the critical challenge of accurate channel estimation in massive MIMO systems, a key enabler for 6G wireless communication. Leveraging the robustness of WGAN-GP and the powerful feature extraction of ResNet/ResUNet architectures, I developed deep learning frameworks that significantly enhance estimation accuracy, mitigate unstable training dynamics, and overcome mode collapse issues. These models not only improve the mapping from quantized signals to channel matrices but also pave the way for AI-powered hybrid beamforming and high spectral efficiency in terahertz spectrum bands, contributing to smarter and more reliable next-generation wireless networks.

Areas of Interest
  • Generative AI Models
  • Generative Adversarial Networks
  • Massive MIMO systems
  • Channel Estimation in Wireless Systems
  • 6G
Journal Publications
  • J. D. Yadav, V. K. Dwivedi, and S. Chaturvedi, “Optimizing Channel Estimation in Wireless Massive MIMO Networks Using Advanced Wasserstein GANs and ResNet,” Physical Communication (ELSEVIER) Vol. 72 (2025), pp-102750, https://doi.org/10.1016/j.phycom.2025.102750. (SCIE)[IF=2.2].
  • J. D. Yadav, V. K. Dwivedi, and S. Chaturvedi, “Enhancing 6G Network Security: GANs for Pilot Contamination Attack Detection in Massive MIMO Systems,” International Journal of Electronics and Communications, Vol. 175, 2024. https://doi.org/10.1016/j.aeue.2023.155075. (SCIE)[IF=3.2].
  • J. D. Yadav, V. K. Dwivedi, and S. Chaturvedi, “ResNet-Enabled cGAN Model for Channel Estimation in Massive MIMO System,” Wireless Communications and Mobile Computing, pp. 1-9, Vol. 2022, Aug. 2022. https://doi.org/10.1155/2022/2697932 . [Scopus Indexed]