Dr Indrasen Singh
@vit.ac.in
Assistant Professor (Sr. Grade-2) in School of Electronics Engineering [SENSE]
Vellore Institute of Technology (VIT) University, Vellore, Tamil Nadu, India
Dr. Indrasen Singh is Assistant Professor (Sr. Grade-2) in School of Electronics Engineering (SENSE) at Vellore Institute of Technology (VIT) University, Vellore, Tamil Nadu, India. He received his B. Tech. and M. Tech. Degree in Electronics and Communication Engineering from Uttar Pradesh Technical University, Lucknow, India in 2006, and 2010, respectively. He obtained his PhD degree in Electronics and Communication Engineering from National Institute of Technology Kurukshetra, Haryana, India in 2019. He has more than 12 years of teaching/research experience. He is the editorial board member of AJECE, Science Publishing Group, USA. He has published many research papers in National/International journals/conferences of repute. His research interests are in the area of cooperative communication, stochastic geometry, modeling of wireless networks, heterogeneous networks, millimeter wave communications, Device-to-Device communication, and 5G/6G communication
EDUCATION
Ph.D. in Mobile Communication (Department of Electronics & Communication Engineering),
2019, National Institute of Technology, Kurukshetra, Haryana, India
M.Tech. (Electronics & Communication Engineering), 2010, Madan Mohan Malviya Engineering
College, Gorakhpur, U.P., India (UPTU, Lucknow) with 63.15%
B.Tech. (Electronics & Communication Engineering), 2006, NIEC Lucknow (UPTU, Lucknow)
with 67.78%
Intermediate, 2001, M.G. Inter College Gorakhpur, U.P. Board with 68.60%
Matriculation, 1999, M.G. Inter College Gorakhpur, U.P. Board with 67.50%
RESEARCH, TEACHING, or OTHER INTERESTS
Engineering, Electrical and Electronic Engineering, Artificial Intelligence
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
V. Sanvika, Indrasen Singh, Madala Poorna Chandra, and Joshith Reddy
Springer Nature Switzerland
Gaurav Jaglan, Aman Jolly, Indrasen Singh, Vikas Pandey, and Shashikant
Springer Nature Switzerland
Avishek Chakraborty, Aishwarya Mishra, Indrasen Singh, Saif Ahmad, Mohd Javed Khan, Deepti Sharma, Ahmed Alkhayyat, and Sumit Gupta
Wiley
ABSTRACTThe urge of modern communication system is to design and development of the smart antennas with adaptive radiation characteristics. The multifold capabilities of fourth‐dimensional antenna arrays can cater that much needed adaptiveness if properly designed. Compared to the conventional arrays, the fourth‐dimensional arrays have one added advantage as the ‘Time’ of all the switched‐on antenna elements can be managed to generate the required amplitude and phase tapering without even using attenuators and phase shifters. However, one inherent limitation of fourth‐dimensional control parameter is the generation of harmonics or sidebands. This article proposes various means of radiation pattern synthesis in fourth‐dimensional linear antenna arrays with pulse shifting, pulse splitting, and a combination of both. First of all, the pulse splitting and shifting techniques are combinedly proposed by reducing the sidelobe levels and sideband levels of the beamforming antenna arrays to enhance directivities and efficiencies. Then, this mathematical proposition of the direction finding fourth‐dimensional arrays is developed. Finally, broad nulls over a specific angle of arrival region are created for jamming and interference mitigation. For all these cases, the sidelobe level and the unwanted higher‐order sideband levels are suppressed to reduce the unwanted interferences and power losses. The optimal time schemes for all the synthesized patterns are generated by proposing a chaos‐based soft computing algorithm. The radiofrequency signals at each radiating array element are processed by the optimal time schemes proposed for specific applications. The outcomes are validated and compared with other state‐of‐the‐art works of this domain to prove the competency of the proposed work. The qualitative and quantitative comparisons presented for beamforming array is aimed for a good improvement over other reported works by targeting ultralow (less than −40 dB) sidelobe and sideband levels. For direction‐finding array, the proposed idea has also targeted ultralow sidelobes for the main as well as steered beam patterns. Furthermore, the null placement over a region has been aimed to cover more area for jamming and sidelobe reduction for interference mitigation. Overall, the optimal designs proposed for these advanced applications are beneficial for cutting‐edge communication systems.
Abhijit Bhowmick, Yogesh Kumar Choukiker, Indrasen Singh, and Arumugam Nallanathan
CRC Press
Mohd Javed Khan, Pooja Gaur, Saif Ahmad, and Indrasen Singh
CRC Press
Ayush Dogra, Ahmed Alkhayyat, Archana Saxena, Krishna Kant Dixit, Indrasen Singh, and Sandeep Singh
Springer Nature Switzerland
Jasgurpreet Singh Chohan, Yogendra Kumar, Indrasen Singh, Bhawna Goyal, Deepa Bisht, and Ahmed Alkhayyat
Springer Nature Switzerland
Ayush Dogra, Ahmed Alkhayyat, Indrasen Singh, Swati Pathak, Arti Badhoutiya, and Deepti Sharma
Springer Nature Switzerland
Sandeep Singh, Ahmed Alkhayyat, Kanchan Yadav, Neeti Misra, Indrasen Singh, and Ayush Dogra
Springer Nature Switzerland
Varma Siruvuri, Prem Kumar Chaurasiya, Indrasen Singh, Vikas Pandey, and Shashikant
IEEE
In the literature, significant electric power losses are documented due to defects like cracks, vacancies, and substitutional defects in Silicon-based photovoltaic solar cells. This study delves into power loss and fracture strength of the solar cells made of Silicon at nanoscale considering various factors such as vacancy size, type, inclination, and operating temperatures. Stress at fracture and total power produced by solar cell are predicted by the developed deep machine learning models. The data for machine learning model is adopted from the simulations carried out using LAMMPS software. Simulations are implemented by subjecting the Silicon domain to uniaxial mechanical load and operating temperatures of solar cell. Furthermore, these simulations encompass a range of conditions, including vacancies in different positions within the cell. Vacancies of four different sizes, across four orientations at the center, and at five temperatures are employed for studies. Subsequently, the deep learning models are trained and tested using data from these simulations. Validation against molecular dynamics results shows strong agreement, affirming the utility of the proposed models in estimating total power at fracture and the stress at fracture for photo-voltaic solar cells with vacancies of diverse characteristics and temperatures.
Aman Jolly, Vikas Pandey, Indrasen Singh, and Neha Sharma
Bentham Science Publishers Ltd.
Introduction Biological Named Entity Recognition (BioNER) is a crucial preprocessing step for Bio-AI analysis. Methods Our paper explores the field of Biomedical Named Entity Recognition (BioNER) by closely analysing two advanced models, SciSpaCy and BioBERT. We have made two distinct contributions: Initially, we thoroughly train these models using a wide range of biological datasets, allowing for a methodical assessment of their performance in many areas. We offer detailed evaluations using important parameters like F1 scores and processing speed to provide precise insights into the effectiveness of BioNER activities. Results Furthermore, our study provides significant recommendations for choosing tools that are customised to meet unique BioNER needs, thereby enhancing the efficiency of Named Entity Recognition in the field of biomedical research. Our work focuses on tackling the complex challenges involved in BioNER and enhancing our understanding of model performance. Conclusion The goal of this research is to drive progress in this important field and enable more effective use of advanced data analysis tools for extracting valuable insights from biomedical literature.
Mohd Javed Khan, Ram Chandra Singh Chauhan, Indrasen Singh, Zeenat Fatima, and Ghanshyam Singh
Institute of Electrical and Electronics Engineers (IEEE)
Raman Kumar, Indrasen Singh, Ahmed Alkhayyat, Abhishek Joshi, Arti Badhoutiya, and Sandeep Singh
IEEE
5G denotes the fifth phase of radio technology crafted for wireless cellular connectivity. Historical trends indicate that significant technological advancement occurred in technologies that existed before 5G: 1G, 2G, 3G, and 4G. In this paper, we are making comparisons of all the generations and presenting why 5G is the best among other generations. It defines the functioning of 5G, how it transmits data, and acceleration procedures. This innovation is significant due to its ability to help transform urban areas into smart cities as well as innovative concepts similar to autonomous vehicles and telesurgeries. The 5G additionally employs novel approaches to transferring data or information, similar to exceedingly elevated radio waves as well as a phenomenon known as “m-MIMO”. The 5G is an integral component of something referred to as the “Fourth Industrial Revolution”, regarding significant shifts within the interconnected understanding of manufacturing processes and our daily lifestyles. It varies slightly from previous generations of networks and can perform additional tasks, like interlinking various devices and machinery. The main purpose of this study is to assist individuals who lack expertise to understand the essence of 5G, and furthermore aid those who are knowledgeable about mobile networks, which provides an opportunity to delve deeper into its intricacies.
Avishek Chakraborty, Indrasen Singh, Sandip Bhattacharya, Kanta Prasad Sharma, Vedanshi Namdev, Anand Kumar Shukla, Ahmed Alkhayyat, and Sanjeev Kumar Shah
Informa UK Limited
Avishek Chakraborty, Indrasen Singh, Sumit Gupta, Gopi Ram, and Durbadal Mandal
Elsevier BV
Mohd Javed Khan, Ram Chandra Singh Chauhan, and Indrasen Singh
Wiley
Avishek Chakraborty, Ravi Shankar Saxena, Anshoo Verma, Ashima Juyal, Sumit Gupta, Indrasen Singh, Gopi Ram, and Durbadal Mandal
Cambridge University Press (CUP)
Abstract The advancement in wireless communication is fueling the growth of innovative antenna array designs toward cost-effective and performance-oriented solutions. This paper proposed unconventional methods to design antenna arrays for multi-pattern synthesis without using attenuators or phase shifters. A low-cost alternative is proposed with “Time-modulation”-based antenna array capable of electronic scanning and beam steering. Here, “Time” is utilized as a fourth-dimensional (4D) array parameter, and that is why “Time-modulated” arrays are also called as 4D antenna arrays. The idea is to control the high-speed switch attached with each antenna periodically to produce desirable current and phase tapering. This article expanded the “Time-modulation” concept to synthesize multiple radiation patterns like monopulse patterns, scanned beam patterns, shaped beam patterns, and cosecant-squared beam patterns for multifunctional radar systems. Suitable time schemes are developed to generate the narrowband sum–difference patterns useful for monopulse radars. Simultaneous scanned beam patterns are also proposed for narrowband communication. Furthermore, to address the wideband applications, shaped flat-top beam patterns and cosecant-squared beam patterns are also proposed. In this regard, 20- and 16-element “Time-modulated” linear array antennas are developed, and the parameters of the arrays are controlled by suitably designed objective functions with quasi-Newton method (QNM)-based memetic optimization method. For this purpose, first a well-known genetic algorithm is adopted to search the potential trust regions in the exploration stage and QNM is used for fine-tuning. Furthermore, the Broyden’s good method-based direction-updating equation is used with QNM to improve the performance.
Mohd Javed Khan, R. Chauhan and I. Singh
Mohd Javed Khan, Ram Chandra Singh Chauhan, and Indrasen Singh
Springer Science and Business Media LLC
Mohd Javed Khan, Ram Chandra Singh Chauhan, and Indrasen Singh
Springer Science and Business Media LLC
Pushpalatha, Prathyusha, Sindhu, Mohd Javed Khan, Indrasen Singh, and Shubham Tayal
IEEE
In modern mobile communication, it is important to provide finer as well as productive facility to all the mobile users through improved communication system. In this paper, binary phase shift key (BPSK) modulation is utilized by almost all base stations for their operation to send/receive voice/data over long distance. BPSK modulation technique is one of the efficient modulations in terms of power which requires minimum power during their operation. In this paper, the performance of mobile communication system has been compared over Rayleigh and Rician fading channel in terms of bit error rate (BER). During the transmission of information first Rayleigh fading channel has been considered and then after Rician fading channel to see the effects. The simulation of analytical expression has been performed to determine the BER over these two channels and obtained results has been shown between the BER and transmitted power of the signal. These results show BER response against transmitted power over Rician channel is better as compared with Rayleigh fading channel. Analytical results are verified by using MATLAB simulation.
Gowri Sai Priya, Goutham Sai, Gowthami, Indrasen Singh, Shubham Tayal, and Mohd Javed Khan
IEEE
Intrinsic advantages of direct sequence spread spectrum (DSSS) are interference free, multiple access, and low probability of intercept (LPI), as well as the ease with which it may be deployed, make it a suitable transmission system for both defence and commercial applications. DSSS is a standard mechanism used by the majority of current remote control devices to transfer command and control data. Only DSSS technology might not be sufficient to convey numerous accesses as soon as the multiple users of aircraft to control cultivate. To attain an efficient multiple access, a hybrid technique should be used in combination of DSSS with time division multiple accesses (TDMA) as an alternative multiple access strategy. The Bit Error Rate (BER) performance for unmanned aerial vehicles (UAV) communication has been analysed over adaptive white Gaussian noise (AWGN) channel and Rayleigh faded channel by varying number of UAVs.
Veeraiyah Thangasamy, Indrasen Singh, Karishma, Yaswanth, and Jathin Sai
IEEE
Non-Orthogonal multiple access (NOMA) scheme serves as a favorable technology for 5G and beyond cellular networks as compared to orthogonal multiple access (OMA) scheme. Multipath fading also affects the performance of wireless communication system. So as to exploit the features of NOMA technique, it is vital to identify and analyze its performance over various fading channels. This paper provides the performance analysis of NOMA based cellular system over two key parameters named as channel capacity and outage probability. Rician fading distribution has been considered for multipath fading. Rician fading channel is much suitable when at least one communication link fallow a line-of-sight (LoS) path and the signal strength is much stronger than other paths. An analytical expression for channel capacity and outage probability has been derived for considered system model. Mante Carlo simulation has been performed to obtain the simulation results for channel capacity and outage probability using the Rician fading channel. Comparison of simulation results for near and far users have been provided for channel capacity and outage probability.
Vaishnavi Raut and Indrasen Singh
Springer Singapore
Indrasen Singh and Niraj Pratap Singh
Springer Science and Business Media LLC
Device-to-device (D2D) communication is observed as an emerging technique to offload the traffic from base station for improving the network performance. Outage probability (OP) and ergodic channel capacity (ECC) are the key performance metrics for wireless communication system. This paper mainly focuses on deriving the expressions of OP and the ECC for underlay D2D communication operating over $$\\kappa -\\mu$$ shadowed fading channels with arbitrary fading and shadowing parameters by utilizing stochastic geometry. The uplink radio resource of existing cellular network has been reused by D2D users. The $$\\kappa -\\mu$$ shadowed fading is a composite channel model of multipath fading and shadowing which contains many classical fading models as special cases. The signal of interest and interfering signals both follow the distribution of $$\\kappa -\\mu$$ fading with shadowing. The analytical expressions of OP and ECC can be expressed in terms of Appell’s function and Gauss’s hypergeometric function, which makes numerical evaluation easy. Finally, the results obtained from the analytical analysis are validated through Monte-Carlo simulations that show the good agreement.