Work place: Dept. of Electronics and Communication Engineering, J.C.D.M. College of Engineering, Sirsa, Haryana, India
E-mail: himanshumonga@gmail.com
Website:
Research Interests: Computational Science and Engineering, Computational Engineering, Engineering
Biography
Dr. Himanshu Monga-Obtained PhD .from Thapar Institute of Engineering and Technology, (TU) Department Of ECE, Patiala, Punjab, INDIA, in the field of Optical networks / coding and Wireless networks. He obtained his bachelor’s degree in Electronics & Communication Engineering from Govt. Engineering College, Amravati University, Maharashtra, India and Master’s degree in Electronics and Telecommunication Engineering & Masters degree in management in Human resource management. Presently he is presently working as Director/Principal in Jan Nayak Chaudhary Devi Lal Lal Vidyapeeth, Sirsa. Before this he served as Professor and Dean Research in Lovely Professional University, Phagwara, India. He possesses work experience of 19 plus years in academics and industry/research. He has more than 95 Research papers in international/national conferences. Have more than 22 Thomson Reuter SCI publications to his credit. He is the life member of IEEE, ISTE and reviewer of many renowned journals. He has authored 04 Books/ chapters in renowned books. He successfully completed 06 projects worth Rs 70 Lacks and successfully completed many consultancy projects.
By Jyoti Makka Himanshu Monga Silki Baghla
DOI: https://doi.org/10.5815/ijwmt.2018.05.02, Pub. Date: 8 Sep. 2018
The work proposes Inter-Symbol Interference (ISI) reduction scheme, ISI being a major problem in Optical systems, which produces various type of non-linear distortions. So the implementation of OFDM system using Artificial Neural Network (ANN) scheme with M-QAM modulation technique is proposed and compared with the conventional OFDM system without using ANN. This proposed scheme is implementation of Back-propagation (BP) algorithm over AWGN channels to achieve an effective ISI reduction in orthogonal frequency division multiplexing (OFDM) systems. Simulation results prove that ANN equalizer can further reduce ISI effectively and provide acceptable BER and better MSE plot compared to conventional OFDM system.
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