Dr Indrasen Singh

Scopus Publications

Quantum-inspired sidelobe canceller beamformer with bidirectional beam scanning and sectorized jamming mitigation properties
Avishek Chakraborty, Indrasen Singh, Chakradhar Adupa
International Journal of Microwave and Wireless Technologies, 2026
The proposed research aims to develop an efficient sidelobe canceller beamforming antenna array for scanning and anti-jamming purposes in radars with time-modulation. Time-modulated antennas are unconventional alternatives to phased arrays, in which the phase deviations between the impinging signals can be controlled by suitably switching ON and OFF the array elements at different time instants. This research addresses the design of a quantum-inspired optimal time-modulated beamformer, aiming for a broad scan coverage of 90° towards broadside. The scanned beams are generated using quantum algorithm-inspired time schemes, in which the ON times of each element are optimized to achieve the optimal radiation characteristics. The beamformer simultaneously aimed to suppress the sidelobes of the scanned radiation patterns. The proposed beamformer is designed for an 8-element antenna array, and the incorporation of time-modulation and its inherent harmonics generation enables simultaneous beam scanning over a desired region. The scanned patterns with reduced sidelobes are further exploited for the strategic null placement by proposing the time-modulated single-point anti-jammers. The concept is further extended, and an 8-element beamformer is developed for sectorized anti-jamming to show the efficiency, effectiveness, and robustness of the proposed research. Multiple sectors in the angular region are targeted by exploiting the harmonics and suppressing them below a desired level. The sidelobe canceller beamformer also demonstrates decent performance, suppressing sidelobes below 20 dB across all applications. The radiation power efficiency of the beamformer is more than 78%. The proposed sidelobe canceller time-modulated beamformer is also compared with other related research for a detailed comparison.
Analysis and Optimization of Reconfigurable Intelligent Surfaces for 6G Coverage Enhancement
Aman Kumar Singh, Bhavya Pandya, Shwetabh Sanjeev Suman, Indrasen Singh, Jagan Bihari Padhy
Proceeding of International Conference on Computing Communication Control and Cyber Physical Systems I5cps 2026, 2026
This paper presents an analysis and optimization of reconfigurable intelligent surfaces to enhance the coverage of sixth-generation (6G) networks. Signal propagation in an urban and complex structural scenario is one of the unusual challenges that the 6G mobile communication system must overcome. To greatly improve wireless connectivity in upcoming spectrum allocations, this paper suggests software-reconfigurable reflecting surfaces, intelligent surfaces made of electromagnetically tunable elements. Our method, which is based on full-wave numerical field simulations at an operational frequency of 6.7 GHz, systematically assesses the performance of three distinct surface technologies: electronically programmed metasurfaces, environmental surfaces, and conventional building material composites. Computational results show that optimally tuned intelligent surfaces produce electromagnetic field magnitudes that are 25% higher than those of conventional materials and nearly 100% higher than those of snow-covered terrain. The analysis includes a thorough investigation of geometric parameters, such as multi-level transmitter-receiver altitude combinations and horizontal separation distances spanning 300-meter working envelopes. Over the 100–250 meter propagation ranges characteristic of dense urban deployment settings, notable performance improvements are particularly apparent.
Radio Frequency and Microwave Design for Next Generation Wireless Applications
Rajkishor Kumar, Avinash Chandra, Indrasen Singh, Vijay Kumar, Yu-Chen Hu
Radio Frequency and Microwave Design for Next Generation Wireless Applications, 2026
An IoT–Machine Learning Proof-of-Concept Framework for Real-Time Urban Particulate Matter Prediction Using Low-Cost Sensors
Aryan Mohapatra, Abhishek Narayan Tripathi, Umar Khan, Rohan Kumar, Indrasen Singh
IEEE Access, 2026
Public health and sustainable urban management continue to face significant difficulties from particulate matter (PM) pollution, particularly PM1.0, PM2.5, and PM10. However, low-cost real-time sensing technologies appropriate for localized deployments have not been thoroughly investigated. A proof-of-concept IoT-machine learning framework that combines regression-based prediction with clustering-based exposure pattern analysis is presented in this paper, which tackles the issue of real-time particle monitoring in a campus setting. A PMS7003 dust sensor interfaced with an Arduino module is used for data collecting. Preprocessing procedures such as outlier treatment, normalization, and temporal indexing are then carried out. To represent nonlinear temporal behavior, random forest and polynomial regression models are used, with predictive performance for PM1.0 and PM2.5 surpassing 85%. In the monitoring region, K-means clustering is also employed to find high-exposure zones that are both emerging and persistent. Due to discretized and low-variability sensor outputs, performance declines for higher particle sizes (5.0 μm and 10.0 μm), highlighting crucial data quality restrictions for efficient regression modeling. Performance measurements including mean squared error, mean absolute error, and the coefficient of determination (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R2) are used to support the analysis. The suggested framework facilitates proactive exposure mitigation techniques that are in line with the Sustainable Development Goals for resilient infrastructure, health, and climate action. It also provides a scalable method for real-time environmental monitoring. The thorough documenting of performance trade-offs across various particle sizes and the combined application of supervised and unsupervised learning approaches for campus-scale air quality assessment constitute the main contributions of this work.
Deep Learning-Based Residual and Recovery Framework for Channel Estimation in 5G/B5G Networks
Srivardan. B, Sachin Naachimuthu, Sree Sailesh K. S, Indrasen Singh, Jagan Bihari Padhy, Mohd Javed Khan
Proceeding of International Conference on Computing Communication Control and Cyber Physical Systems I5cps 2026, 2026
Channel estimation in wireless communication has gotten progressively more complex with the growth of modern methods. This paper uses a deep learning framework using a multilayer perceptron (MLP) to estimate channels in fifth-generation (5G), beyond 5G (B5G), and sixth-generation (6G) millimeter-wave (mmWave) environments to improve the reliability and accuracy of signal transmission. As the process deals with communication in 6G environment, a synthetic data set generation module has been designed using a sparse multi-path propagation model for simulating 60 GHz mmWave channels in different signal-to-noise ratio (SNR) conditions. This paper investigates fast learning-based channel estimation for 6G mmWave systems. The framework introduced is a switchable two-stage MLP-based estimator, where a lightweight primary network performs residual correction over Least Square (LS) estimates and a secondary refinement network is selectively activated under challenging channel conditions. In order to avoid redundancy in learning across stages, a controlled corruption-recovery mechanism is used, which forces the secondary network to learn robust channel recovery rather than identity mapping. Simulation results show improved robustness of estimation in noise-limited regimes while preserving high-SNR performance with reduced unnecessary inference complexity.
Secrecy outage probability and strictly positive secrecy capacity of UAV assisted cooperative NOMA system with two untrusted destinations
Mohd Javed Khan, Saif Ahmad, Indrasen Singh, Umesh Kumar Sahu
Scientific Reports, 2025
The volume of confidential information transmitted over 5G networks has increased rapidly due to the widespread adoption of large machine-type communication and Internet of Things (IoT) devices. Secrecy outage probability (SOP) and strictly positive secrecy capacity (SPSC) parameters are crucial parameters used in evaluating the security of wireless systems, particularly in situations where maintaining secrecy is essential. Also, Non-orthogonal multiple access (NOMA) has the potential to improve the performance of wireless communication systems due to its higher spectral efficiency, improved fairness in resource allocation, and enhanced coverage and connectivity. In this paper, we investigate the secrecy performance of unmanned aerial vehicles (UAV) assisted cooperative NOMA system with a half duplex protocol based amplify and forward relay over the Rayleigh fading channel in presence of two eavesdroppers for downlink communication. We derive SOP and SPSC of the proposed system model and analyze its performance in terms of the illegal SNR of eavesdroppers, power allocation coefficient, information rates and Rayleigh channel parameters. Simulation results demonstrate that SOP decreases with a higher value of power allocation coefficient and lower values of the illegal SNR of eavesdropper and lower information rates. SPSC increases with high values of power allocation coefficient of far destination and decreases with lower values of illegal SNR of eavesdroppers and Rayleigh channel parameters. Analytical simulations are verified using Monte Carlo simulations.
Hybrid cryptographic approach for strengthening IoT and 5G/B5G network security
Aman Kumar, Prashutosh Singh, Dhananjay Pandurang Kamble, Indrasen Singh
Scientific Reports, 2025
The rapid evolution of fifth-generation (5G) and beyond (B5G) networks has introduced significant security challenges, necessitating advanced cryptographic mechanisms to protect sensitive data during transmission. Traditional encryption models often struggle to balance security, computational efficiency, and adaptability to dynamic network conditions. This study proposes a novel hybrid cryptographic framework integrating the Advanced Encryption Standard (AES), Data Encryption Standard (DES), and Rivest–Shamir–Adleman (RSA) algorithms. AES and DES provide high-speed symmetric encryption for efficient data protection, while RSA enables secure key exchange and authentication. The integration of dynamic round keys enhances encryption complexity, improving resistance to cryptanalytic attacks. Performance evaluations, including encryption and decryption time analysis, data expansion metrics, and throughput assessments, demonstrate that the proposed framework achieves an optimal balance between security and computational overhead. Benchmark comparisons with traditional and post-quantum cryptographic models highlight the superior efficiency and reduced data expansion of the hybrid approach. Furthermore, practical implementation on ESP32 hardware confirms the model’s feasibility for real-time encryption in resource-constrained environments typical of 5G applications. This scalable and flexible encryption paradigm addresses current and emerging security requirements in high-speed wireless networks, with future work focusing on integration with quantum-resistant cryptographic mechanisms to enhance resilience against evolving cyber threats. Experimental results show that the hybrid model achieves up to 30% higher throughput, 10–15% lower data expansion, and reduced encryption/decryption time compared to baseline algorithms, with successful ESP32 implementation and 100% decryption accuracy for key sizes up to 128 bits.
HDL-ACO hybrid deep learning and ant colony optimization for ocular optical coherence tomography image classification
Shivani Agarwal, Anand Kumar Dohare, Pranshu Saxena, Jagendra Singh, Indrasen Singh, Umesh Kumar Sahu
Scientific Reports, 2025
Optical Coherence Tomography (OCT) plays a crucial role in diagnosing ocular diseases, yet conventional CNN-based models face limitations such as high computational overhead, noise sensitivity, and data imbalance. This paper introduces HDL-ACO, a novel Hybrid Deep Learning (HDL) framework that integrates Convolutional Neural Networks with Ant Colony Optimization (ACO) to enhance classification accuracy and computational efficiency. The proposed methodology involves pre-processing the OCT dataset using discrete wavelet transform and ACO-optimized augmentation, followed by multiscale patch embedding to generate image patches of varying sizes. The hybrid deep learning model leverages ACO-based hyperparameter optimization to enhance feature selection and training efficiency. Furthermore, a Transformer-based feature extraction module integrates content-aware embeddings, multi-head self-attention, and feedforward neural networks to improve classification performance. Experimental results demonstrate that HDL-ACO outperforms state-of-the-art models, including ResNet-50, VGG-16, and XGBoost, achieving 95% training accuracy and 93% validation accuracy. The proposed framework offers a scalable, resource-efficient solution for real-time clinical OCT image classification.
Correction to: HDL-ACO hybrid deep learning and ant colony optimization for ocular optical coherence tomography image classification (Scientific Reports, (2025), 15, 1, (5888), 10.1038/s41598-025-89961-7)
Shivani Agarwal, Anand Kumar Dohare, Pranshu Saxena, Jagendra Singh, Indrasen Singh, Umesh Kumar Sahu
Scientific Reports, 2025
In the original version of this Article Pranshu Saxena was incorrectly affiliated with ‘Department of Information Technology, Ajay Kumar Garg Engineering College, Ghaziabad, India’.
Defected Ground Structure (DGS) Based MIMO Antenna Array With Decent Isolation Characteristics for Satellite Communications in Unified S-Band (USB)
Avishek Chakraborty, Ravi Shankar Saxena, Indrasen Singh, Jatinder Kaur, Ramneet Kaur, Rishiv Kalia, D. Durga Bhavani
Radio Science, 2025
This research focuses on developing an efficient, high‐isolation Multi‐Input Multi‐Output (MIMO) antenna array for Mobile Satellite Services (MSS). A portion of the S‐band (2–4 GHz) ranging from 2 to 2.2 GHz, known as Unified S‐Band (USB), is utilized for MSS, particularly for Space‐to‐Earth communications. The ultimate objective of the proposed MIMO is to cover the USB spectrum and resonate at 2.2 GHz. As the first step of the design process, a meandered line (ML) monopole patch with good radiation characteristics in the desired frequency band is designed. Then, the mirror image of the proposed ML radiator is added to the design to form a two‐element ML‐MIMO array. A well‐designed MIMO is highly beneficial for boosting the reliabilities, channel capacities, and frequency reuse in next‐generation communication. But at the same time, it inherently increases the coupling effect between closely placed radiators, which may degrade the performance of the overall design. To overcome the coupling effect, a defected ground structure (DGS) is proposed in the partial ground plane of the ML‐MIMO. The proposed DGS intends to reduce the coupling effects by perturbing the surface current distributions in the partial ground plane. Meanwhile, the DGS also enhances the compactness of the entire structure by boosting the gain and reducing the total weight. MIMO parameter metrics such as axial ratio below 3 dB, envelope correlation coefficient less than 0.0005, and a diversity gain close to 10 are also aimed by simultaneously reducing the mutual coupling below −30 dB and return loss below −25 dB for standard MIMO applications. The ML‐MIMO is then fabricated on a FR4 substrate with a dimension of 40 mm by 48 mm, and measured. The simulated outcomes are found to be in close approximation with the measurement outcomes. A detailed comparison and trade‐off analysis of the proposed design with respect to other contemporary research is also presented for further validation.
A Compact Defected Ground Structure-Based High Isolated Monopole MIMO Antenna for USB Band Mobile Satellite Services
Avishek Chakraborty, Ravi Shankar Saxena, Indrasen Singh, Chandrasinh Parmar, Ali Khatibi, Navdeep Prashar, Ashish Singh, K. S. Ravi Kumar, Sanjeev Kumar Shah
International Journal of Communication Systems, 2025
Minimised Four-Port MIMO Antenna for Sub-6 GHz and Satellite Applications
Jayaraman G., Indrasen Singh, Dilip Kumar Choudhary
Defence Science Journal, 2025
Radiation pattern synthesis of smart fourth dimensional beamforming antenna arrays using optimally splitting pulses
Avishek Chakraborty, Ravi Shankar Saxena, Indrasen Singh, Asha Rajiv, Johar Mgm, et al.
International Journal of Microwave and Wireless Technologies, 2025
Gain and isolation improvement techniques for MIMO antenna: A compendious survey
Jayaraman G, Indrasen Singh, Dilip Kumar Choudhary
Results in Engineering, 2025
Intelligent Network Selection Mechanisms in the Internet of Everything System
Indrasen Singh, Meenakshi Munjal
IEEE Access, 2025
Comparison of Machine Learning Algorithms for Heart Disease Prediction
Ujjwal Daharwal, Indrasen Singh, Ganesh Khekare
Procedia Computer Science, 2025
Spectrum Sensing Using Fast Slepian Transform for Cognitive Radio Networks
Aman Kumar, Indrasen Singh, Dilip Kumar Choudhary
IEEE Access, 2025
Ultra-Wideband (UWB) Antenna for Medical Imaging and Sensing Applications
Jayaraman G., Indrasen Singh, Dilip Kumar Choudhary
4th Wireless Antenna and Microwave Symposium Wams 2025, 2025
Establishing Seamless Connectivity through UAV Communication Systems
Saif Ahmad, Mohd Javed Khan, Indrasen Singh
Microwave Devices and Circuits for Advanced Wireless Communication Design and Analysis, 2025
Machine Learning-Based Power Allocation Schemes in NOMA-Enabled 5G Communication
Venkata Thapan Killi, S. Nakul Sriram, Indrasen Singh
Indiscon 2025 IEEE 6th India Council International Subsections Conference Proceedings, 2025
Beamforming and MIMO for Terahertz Technology in Microwave and Photonic Systems
Mohd Javed Khan, Saif Ahmad, Zeenat Fatima, Indrasen Singh
Terahertz Technology in Microwave and Photonics for Effective Communications, 2025
AI-Driven Security Evaluation of the ZUC Stream Cipher in 5G Networks
Veydant Katyal, Vrinda Bajaj, Aditya Parihar, Indrasen Singh
IEEE Access, 2025
Brain Tumor Detection Using Deep Learning-Based CNN Model
Donkada Sai Keerthan, Manish Reddy, Chetan Athi, Indrasen Singh
2025 International Conference on Sensors and Related Networks Sennet 2025 Special Focus on Digital Healthcare 64220, 2025
Prioritized Routing and Energy Optimization in Underwater Sensor Networks
V. Sanvika, M. Poorna Chandra, K. Vennela Anjani, Indrasen Singh
3rd International Conference on Microwave Antenna and Communication Mac 2025, 2025
Opportunities and Challenges for ML-Based FPGA Backend Flow
Saif Ahmad, Mohd Javed Khan, Indrasen Singh, Zeenat Fatima
Advancing VLSI Through Machine Learning Innovations and Research Perspectives, 2025
Energy-Aware NOMA-Based LoRa Framework for 5G-Enabled IoT
Pranavi Bhupalam, J. Anushka, K. Preethi, Indrasen Singh
2025 International Conference on Sensors and Related Networks Sennet 2025 Special Focus on Digital Healthcare 64220, 2025
Anomaly Detection in 5G Cellular Networks Using Machine Learning
V Sanvika, Madala Poorna Chandra, Shamitha, Indrasen Singh
2025 IEEE International Students Conference on Electrical Electronics and Computer Science Sceecs 2025, 2025
Millimeter-Wave Communication and Terahertz Spectrum for 6G Wireless Network
Saif Ahmad, Mohd Javed Khan, Zeenat Fatima, Indrasen Singh
Terahertz Technology in Microwave and Photonics for Effective Communications, 2025
Metamaterials in 5G and the Path towards 6G: Enabling Advanced Wireless Communication
Mohd Javed Khan, Saif Ahmad, Indrasen Singh, Zeenat Fatima
Compact and Flexible Microwave Devices, 2025
Role of Machine Learning Applications in VLSI Design
Mohd Javed Khan, Pooja Gaur, Indrasen Singh, Saif Ahmad
Advancing VLSI Through Machine Learning Innovations and Research Perspectives, 2025
BER Performance Analysis of NOMA-based 5G Network over Different Fading Channels
B. V. Lakshmi Pranavi, J. Anushka, K. Preethi, Indrasen Singh
IEEE International Conference on Next Generation Information System Engineering Ngise 2025, 2025
Biomedical Antenna Technology: Shaping the Future of Healthcare
Akinola Segun Ayokunle, Indrasen Singh, Vivek Rajpoot, Ajay Kumar
Biomedical Antenna Technology Shaping the Future of Healthcare, 2025
Compact and Flexible Microwave Devices
Compact and Flexible Microwave Devices, 2025
Impact of Post-Transmission Dispersion Compensation on 16-QAM Optical Links with OFDM
Jagana Bihari Padhy, Abhishek Narayan Tripathi, Vivek Rajpoot, Indrasen Singh
Proceedings 2025 IEEE 3rd International Symposium on Sustainable Energy Signal Processing and Cybersecurity Isssc 2025, 2025
Performance Analysis of IoT Network over 5G Communication
V. Sanvika, Indrasen Singh, Madala Poorna Chandra, Joshith Reddy
Communications in Computer and Information Science, 2025
Microwave Devices and Circuits for Advanced Wireless Communication: Design and Analysis
Dilip Kumar Choudhary, Naveen Mishra, Indrasen Singh, Naser Ojaroudi Parchin, Ghanshyam Singh
Microwave Devices and Circuits for Advanced Wireless Communication Design and Analysis, 2025
Terahertz Technology in Microwave and Photonics for Effective Communications
Prakash Pareek, Naveen Mishra, Jitendra K. Mishra, Indrasen Singh, Abhinav Gautam
Terahertz Technology in Microwave and Photonics for Effective Communications, 2025
Advancing VLSI through Machine Learning: Innovations and Research Perspectives
Abhishek Narayan Tripathi, Jagana Bihari Padhy, Indrasen Singh, Shubham Tayal, Ghanshyam Singh
Advancing VLSI Through Machine Learning Innovations and Research Perspectives, 2025
Amalgamation of Semantic Web with IoT: Semantic Web of Things (SWoT)
Gaurav Jaglan, Aman Jolly, Indrasen Singh, Vikas Pandey, Shashikant
Communications in Computer and Information Science, 2025
Energy-Efficient Multiply-Accumulate Architecture Using Compressor Logic for FPGA-Based Systems
Sakthi G, Abhishek N Tripathi, Jagana Bihari Padhy, Indrasen Singh, Vivek Rajpoot
Proceedings 2025 IEEE 3rd International Symposium on Sustainable Energy Signal Processing and Cybersecurity Isssc 2025, 2025
A High-Performance SPR Biosensor for Female Reproductive Hormone Detection
Rajeev Kumar, Suman Garia, Saurav Joshi, Amrindra Pal, Indrasen Singh, Umesh Kumar Sahu
IEEE Access, 2025
Achievable Sum Rate Analysis for Moving Relay Assisted Cooperative NOMA System Over Rician Fading Channels
Qazi Saeed Ahmad, Mohd Javed Khan, Imran Ullah Khan, Indrasen Singh, Saif Ahmad, Ghanshyam Singh
IEEE Access, 2025
Optimal Design of Smart Antenna Arrays for Beamforming, Direction Finding, and Null Placement Using the Soft Computing Method
Avishek Chakraborty, Aishwarya Mishra, Indrasen Singh, Saif Ahmad, Mohd Javed Khan, Deepti Sharma, Ahmed Alkhayyat, Sumit Gupta
International Journal of Numerical Modelling Electronic Networks Devices and Fields, 2024
5G and beyond wireless communications: Fundamentals, applications, and challenges
Abhijit Bhowmick, Yogesh Kumar Choukiker, Indrasen Singh, Arumugam Nallanathan
5g and Beyond Wireless Communications Fundamentals Applications and Challenges, 2024
Millimetre wave for next-generation networks: Opportunities, challenges, and possible solutions
Mohd Javed Khan, Pooja Gaur, Saif Ahmad, Indrasen Singh
5g and Beyond Wireless Communications Fundamentals Applications and Challenges, 2024
Multi-pattern synthesis in fourth-dimensional antenna arrays using BGM-based quasi-Newton memetic optimization method
Avishek Chakraborty, Ravi Shankar Saxena, Anshoo Verma, Ashima Juyal, Sumit Gupta, Indrasen Singh, Gopi Ram, Durbadal Mandal
International Journal of Microwave and Wireless Technologies, 2024
Cooperative PowerDomain Non-Orthogonal Multiple Access (NOMA) in 5G Systems Potentials and Challenges
Mohd Javed Khan, Indrasen Singh
5g and Beyond Wireless Networks Technology Network Deployments and Materials for Antenna Design, 2024
Compact Monopole MIMO Antenna with SRR and DGS for Satellite Communication
G Jayraman, Indrasen Singh, Dilip Kumar Choudhary
2024 IEEE Microwaves Antennas and Propagation Conference Mapcon 2024, 2024
Compact Four-Port Monopole MIMO Antenna Loaded with CSRR for Multiband Applications
Jayaraman G., Indrasen Singh, Dilip Kumar Choudhary
2024 2nd International Conference on Microwave Antenna and Communication Mac 2024, 2024
Exploring Biomedical Named Entity Recognition via SciSpaCy and BioBERT Models
Aman Jolly, Vikas Pandey, Indrasen Singh, Neha Sharma
Open Biomedical Engineering Journal, 2024
5G and Beyond Wireless Networks: Technology, Network Deployments, and Materials for Antenna Design
Indrasen Singh, Shubham Tayal, Niraj Pratap Singh, Vijay Shanker Tripathi, Ghanshyam Singh
5g and Beyond Wireless Networks Technology Network Deployments and Materials for Antenna Design, 2024
Mobility Management in Heterogeneous Network of Vehicular Communication With 5G: Current Status and Future Perspectives
Mohd Javed Khan, Ram Chandra Singh Chauhan, Indrasen Singh, Zeenat Fatima, Ghanshyam Singh
IEEE Access, 2024
Molecular Dynamics Studies using Machine Learning to predict the effect of nano vacancies on electrical and mechanical performance of Silicon based solar cells
Varma Siruvuri, Prem Kumar Chaurasiya, Indrasen Singh, Vikas Pandey, Shashikant
2024 3rd International Conference on Artificial Intelligence for Internet of Things Aiiot 2024, 2024
A Review on Precoding Techniques for Massive MIMO-Based Wireless Communication
Aman Kumar, Suman Kumar, Indrasen Singh, Jatinder Kaur, Sumanpreet Kaur
2024 2nd International Conference on Microwave Antenna and Communication Mac 2024, 2024
Enhancing Data Privacy and Security in Healthcare IoT Applications Through Edge Data Filtering and Encryption for Secure and Compliant Cloud Transmission
Ayush Dogra, Ahmed Alkhayyat, Archana Saxena, Krishna Kant Dixit, Indrasen Singh, Sandeep Singh
Lecture Notes in Networks and Systems, 2024
Internet of Multimedia Things (IoMT); Communication Techniques Perspective
Vinay Kumar, Sumit Kushwaha, Indrasen Singh, Rabindra K Barik, Gyanesh Singh, Manish Sabraj
5g and Beyond Wireless Networks Technology Network Deployments and Materials for Antenna Design, 2024
5G: Radio Technology Crafted for Wireless Cellular Connectivity
Raman Kumar, Indrasen Singh, Ahmed Alkhayyat, Abhishek Joshi, Arti Badhoutiya, Sandeep Singh
Proceedings of the 18th Indiacom 2024 11th International Conference on Computing for Sustainable Global Development Indiacom 2024, 2024
Object Recognition and Tracking for Enhanced Security Using Computer Vision
Jasgurpreet Singh Chohan, Yogendra Kumar, Indrasen Singh, Bhawna Goyal, Deepa Bisht, Ahmed Alkhayyat
Lecture Notes in Networks and Systems, 2024
Web Server Solution for Community-Centric Market Listing Network with Category Filters
Sandeep Singh, Ahmed Alkhayyat, Kanchan Yadav, Neeti Misra, Indrasen Singh, Ayush Dogra
Lecture Notes in Networks and Systems, 2024
Deep Learning-Based Approaches for Facial Recognition Technology Through Convolutional Neural Networks
Ayush Dogra, Ahmed Alkhayyat, Indrasen Singh, Swati Pathak, Arti Badhoutiya, Deepti Sharma
Lecture Notes in Networks and Systems, 2024
Multiple Pattern Synthesis in Four-Dimensional Antenna Arrays Using the Quasi-Newton Memetic Optimization Method
Avishek Chakraborty, Indrasen Singh, Sandip Bhattacharya, Kanta Prasad Sharma, Vedanshi Namdev, Anand Kumar Shukla, Ahmed Alkhayyat, Sanjeev Kumar Shah
IETE Journal of Research, 2024
Sideband power control in Time-Modulated antenna arrays for bidirectional harmonic beamforming and beam scanning
Avishek Chakraborty, Indrasen Singh, Sumit Gupta, Gopi Ram, Durbadal Mandal
AEU International Journal of Electronics and Communications, 2023
Energy-efficient multiple cooperative moving relay selection for heterogeneous nonorthogonal-multiple access systems
Mohd Javed Khan, Ram Chandra Singh Chauhan, Indrasen Singh
International Journal of Communication Systems, 2023
Outage probability and throughput of cooperative non-orthogonal multiple access with moving relay in heterogeneous network
Mohd Javed Khan, R. Chauhan, I. Singh
Transactions on Emerging Telecommunications Technologies, 2022
Comparative Analysis of Full Duplex and Half Duplex Relay for High-Speed Vehicular Scenario
Mohd Javed Khan, Ram Chandra Singh Chauhan, Indrasen Singh
Wireless Personal Communications, 2022
Performance Analysis of Heterogeneous Network Using Relay Diversity in High-Speed Vehicular Communication
Mohd Javed Khan, Ram Chandra Singh Chauhan, Indrasen Singh
Wireless Personal Communications, 2022
Analysis of Capacity and Outage Probability for NOMA based Cellular Communication over Rician Fading Channel
Veeraiyah Thangasamy, Indrasen Singh, Karishma, Yaswanth, Jathin Sai
2022 1st International Conference on Electrical Electronics Information and Communication Technologies Iceeict 2022, 2022
BER Performance using BPSK Modulation over Rayleigh and Rician Fading Channel
Pushpalatha, Prathyusha, Sindhu, Mohd Javed Khan, Indrasen Singh, Shubham Tayal
Proceedings 2022 IEEE 11th International Conference on Communication Systems and Network Technologies Csnt 2022, 2022
Analysis of Bit Error Rate for Multi-user TDMA-based Communication System
Gowri Sai Priya, Goutham Sai, Gowthami, Indrasen Singh, Shubham Tayal, Mohd Javed Khan
2022 1st International Conference on Electrical Electronics Information and Communication Technologies Iceeict 2022, 2022
Digital Image Processing Based Automatic Fabric Defect Detection Techniques: A Survey
Vaishnavi Raut, Indrasen Singh
Lecture Notes in Electrical Engineering, 2020
Outage probability and ergodic channel capacity of underlay device-to-device communications over κ- μ shadowed fading channels
Indrasen Singh, Niraj Pratap Singh
Wireless Networks, 2020
Outage Probability of Device-to-Device Communication Underlaying Cellular Network over Nakagami/Rayleigh Fading Channels
Indrasen Singh, R. K. Jaiswal, Varun Kumar, Rajiv Verma, N. P. Singh, Ghanshyam Singh
International Conference on Emerging Trends in Engineering and Technology Icetet, 2019
Coverage Probability Analysis of Device-to-Device Communication Underlaid Cellular Networks in Uplink Over κ- μ / η- μ Fading Channels
Indrasen Singh, Niraj Pratap Singh
International Journal of Wireless Information Networks, 2019
Analysis of success probability for device-to-device communication underlaid cellular networks operating over generalized κ − μ fading
Indrasen Singh, Niraj Pratap Singh
Optik, 2019
Energy Efficiency of Device-to-Device Communication Underlaid Cellular Networks over Nakagami-m Fading Channels
Indrasen Singh, Niraj Pratap Singh
Lecture Notes on Data Engineering and Communications Technologies, 2019
A compendious study of device-to-device communication underlaying cellular networks
Indrasen Singh, Niraj Pratap Singh
International Journal of Mobile Network Design and Innovation, 2019
Average Sum Rate and Energy Efficiency for D2D Communication Underlaid Cellular Networks
Indrasen Singh, Niraj Pratap Singh
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical Electronics and Computer Engineering Upcon 2018, 2018
Coverage and capacity analysis of relay-based device-to-device communications underlaid cellular networks
Indrasen Singh, Niraj Pratap Singh
Engineering Science and Technology an International Journal, 2018
Microstrip patch antenna for breast cancer tumour detection: A survey
Indrasen Singh, Vijay Shanker Tripathi, Sudarshan Tiwari
International Journal of Signal and Imaging Systems Engineering, 2015
Dual-band microstrip patch antenna miniaturization using metamaterial
Indrasen Singh, Vijay Shanker Tripathi, Sudarshan Tiwari
Journal of Engineering United Kingdom, 2013
Design and analysis of small planar antenna based on CRLH metamaterial for WSN application
Sanjeev Jain, Indrasen Singh, Vijay Shanker Tripathi, Sudarshan Tiwari
Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst, 2013
Microstrip patch antenna miniaturization using planar metamaterial unit cell
Indrasen Singh, Sanjeev Jain, Vijay Shanker Tripathi, Sudarshan Tiwari
Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst, 2013
Compact circularly-polarized microstrip patch antenna on Reactive Impedance Substrates
Indrasen Singh, Vijay Shanker Tripathi, Sudarshan Tiwari
Codec 2012 5th International Conference on Computers and Devices for Communication, 2012
Inverted Z and circular slot patch antenna for WLAN and WiMAX
Prashant Ranjan, Nand Kishore, Indrasen Singh, V.S. Tripathi
Icpces 2012 2012 2nd International Conference on Power Control and Embedded Systems, 2012

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