S. K. Agrawal

Work place: Computer Engineering Department, Delhi Technological University (DTU), Formerly : Delhi College of Enginering (DCE), Delhi, India

E-mail: sachin.ecin@gmail.com


Research Interests: Engineering, Computational Engineering, Computational Science and Engineering


Mr. S. K. Agrawal's educational and professional interest include 5G, Antenna, Beam, RF,
Wireless communication, Networking, Channel Capacity, MIMO, Physical Layer, Machine
Learning (ML), Artificial Intelligence (AI) and related technologies. He has published various
research papers in international conferences and journals in the domain of wireless communications and intelligent solutions along with best paper award. He has invented several novel features which are protected as several national and international patents. He is
member of TPCs ( international conferences/ journal), Member of Indian Science Congress Association (ISCA), Member of International Computer Science and Engineering Society (ICSES), International Association of Engineers (IAENG), IAENG Society of Artificial Intelligence (AI) and etc. S. K. Agrawal has reviewed various international research papers for conferences and journals in the domain of mobile communications. He is currently working for Research / Inventions / Patents in Samsung R&D, Noida India. He has extensive experience in research and intellectual property (IP) domain. Agrawal is currently pursuing Ph.D. in Artificial Intelligent (AI) wireless solutions from Delhi Technological University (DTU), formerly known as Delhi College of Engineering (DCE) Delhi. He is having Masters degree in Signal processing (SP) from Netaji Subhas Institute of Technology (Formerly: Delhi Institute of Technology),
University of Delhi, India. He has worked as a researcher at Telecommunications Research Centre (TRC), University of Limerick (UL) Ireland and Indian Institute of Technology (IIT) Delhi. He has also worked with Computer Patent Annuities (CPA) Global, National Atmospheric Research Laboratory (NARL), Department of Space, (Govt. of India) India and ASC Zee Networks, DTH R&D India.

Author Articles
Intelligent Software Defined Atmospheric Effect Processing for 5th Generation (5G) Millimeter Wave (MMWave) Communication System

By S. K. Agrawal Kapil Sharma

DOI: https://doi.org/10.5815/ijwmt.2018.02.02, Pub. Date: 8 Mar. 2018

In this paper, we present atmospheric effect on 5th Generation (5G) millimeter wave (MMWave) communication system. Atmospheric effects for Delhi (India) based 5G communication system is calculated as per Delhi atmospheric conditions. Atmospheric impairments are major cause of degrading mmWave signal power while mmWave propagation in wireless channel. Due to Atmospheric impairments attenuation takes place and major impairments are like water vapour, oxygen, rain and fog for Delhi (India). 5G mmWave attenuation calculations are performed for the mmWave band frequencies 28 GHz, 37 GHz and 39 GHz. In this paper intelligent adaptive transmitter based on trend of the atmospheric conditions tunes to machine learning (ML) based derivation of channel capacity. The ML based transmitter is a supervised ML device and it has provision of self teaching learning machine based on data. Results are graphed for the mentioned frequencies and also intelligently software defined (SD) Shannon channel capacity calculated for Delhi (India) based 5G mmWave communication system under different atmospheric conditions.

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Polyphase Structure Based Eigen Design of Two-Channel Quadrature Mirror Filter Bank

By S. K. Agrawal O.P. Sahu

DOI: https://doi.org/10.5815/ijigsp.2014.10.04, Pub. Date: 8 Sep. 2014

This paper presents a method for the design of two-channel quadrature mirror filter (QMF) banks with linear phase in frequency domain. Low-pass prototype filter of the QMF bank is implemented using polyphase decomposition. Prototype filter coefficients are optimized to minimize an objective function using eigenvalue-eigenvector approach without matrix inversion. The objective function is formulated as a weighted sum of four terms, pass-band error and stop-band residual energy of low-pass analysis filter, the square error of the overall transfer function at the quadrature frequency and amplitude distortion of the filter bank. The simulation results clearly show that the proposed method requires less computational efforts in comparison to the other state-of-art existing design methods.

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Other Articles