Dr Indrasen Singh

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

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, and Umesh Kumar Sahu
Springer Science and Business Media LLC
Abstract 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.


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, and Umesh Kumar Sahu
Springer Science and Business Media LLC
Abstract 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, and Umesh Kumar Sahu
Springer Science and Business Media LLC



Gain and isolation improvement techniques for MIMO antenna: A compendious survey
Jayaraman G, Indrasen Singh, and Dilip Kumar Choudhary
Elsevier BV



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, and Ghanshyam Singh
Institute of Electrical and Electronics Engineers (IEEE)
The number of mobile users on onboard vehicles is increasing continuously. Vehicular users suffer from vehicle penetration loss, fast variation of channel conditions, and signal strengths. These challenges are made even worse by a growing need for high data rates and high quality of service requirements in vehicular scenarios, which cause frequent handovers, call drops, and complete outages. The achievable rate supports adapting techniques for communication to dynamically changing conditions, ensuring reliable and efficient transmission of information despite variations. Moving relay (MR) has been proven to be one of the most promising techniques for handling such scenarios over Rayleigh fading channels. However, the performance of MR for non-vehicular users needs to be analyzed over Rician fading channel in terms of achievable rate. This paper proposes a cooperative non-orthogonal multiple access (NOMA) based system over Rician fading for non-vehicular users with half duplex decode and forward protocol-based MRs in downlink communication. We derive the achievable sum rate of the proposed system for non-vehicular users and analyze its performance in terms of power allocation coefficient, transmit signal-to-noise ratio (SNR), and Rician factor. Also, a comparison of the proposed system with a conventional orthogonal multiple access (OMA) system is provided. The simulation results show that the proposed cooperative NOMA system achieves 11.96 % higher achievable sum rate at 5 dB SNR and 14.88% higher achievable sum rate at 25 dB SNR compared to conventional OMA system. The analytical results are verified through Monte Carlo simulations. The proposed system may be useful for designing high-speed vehicular scenarios in 5G and beyond communication.


Establishing Seamless Connectivity through UAV Communication Systems
Saif Ahmad, Mohd Javed Khan, and Indrasen Singh
CRC Press



Microwave Devices and Circuits for Advanced Wireless Communication: Design and Analysis
Dilip Kumar Choudhary, Naveen Mishra, Indrasen Singh, Naser Ojaroudi Parchin, and Ghanshyam Singh
CRC Press



Intelligent Network Selection Mechanisms in the Internet of Everything System
Indrasen Singh and Meenakshi Munjal
Institute of Electrical and Electronics Engineers (IEEE)
In the Internet of Everything (IoE) ecosystem, it is necessary for connected devices to move between different access points seamlessly. As IoE is deployed in diverse environments, such as smart cities, industrial settings, and vehicular networks, ensuring reliable connectivity and uninterrupted services across different networks becomes important. As part of the IoE framework, this research paper focuses on developing and evaluating intelligent handoff decision mechanisms. So, in this work, the optimal handoff decision technique is proposed, which transmits the information in a fast manner. The Fuzzy Analytical Hierarchical Process (FAHP) and Analytical Hierarchical Process (AHP) two-user preference calculation algorithms are used. Then, the user preference is included in the prospect algorithm and the optimal network is selected. After that, the result of the prospect algorithm is compared with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Grey Rational Analysis (GRA), and Multiplicative Exponent Weighting (MEW) algorithms in terms of network scores and the number of handoffs. The advantage of network selection using a prospect algorithm is that it will decrease the failure rate and increase the data transfer and user experience. These advantages deliver seamless connectivity for a diverse range of applications and devices using an IoE infrastructure that is more robust and reliable. The network selected by combining different techniques is the optimal network because it selects the most efficient or effective network.


Performance Analysis of IoT Network over 5G Communication
V. Sanvika, Indrasen Singh, Madala Poorna Chandra, and Joshith Reddy
Springer Nature Switzerland



Amalgamation of Semantic Web with IoT: Semantic Web of Things (SWoT)
Gaurav Jaglan, Aman Jolly, Indrasen Singh, Vikas Pandey, and Shashikant
Springer Nature Switzerland



Advancing VLSI through Machine Learning: Innovations and Research Perspectives
Abhishek Narayan Tripathi, Jagana Bihari Padhy, Indrasen Singh, Shubham Tayal, and Ghanshyam Singh
CRC Press



Opportunities and Challenges for ML-Based FPGA Backend Flow
Saif Ahmad, Mohd Javed Khan, Indrasen Singh, and Zeenat Fatima
CRC Press



Role of Machine Learning Applications in VLSI Design
Mohd Javed Khan, Pooja Gaur, Indrasen Singh, and Saif Ahmad
CRC Press



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, 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.


5G and beyond wireless communications: Fundamentals, applications, and challenges
Abhijit Bhowmick, Yogesh Kumar Choukiker, Indrasen Singh, and Arumugam Nallanathan
CRC Press



Millimetre wave for next-generation networks: Opportunities, challenges, and possible solutions
Mohd Javed Khan, Pooja Gaur, Saif Ahmad, and Indrasen Singh
CRC Press



5G and Beyond Wireless Networks: Technology, Network Deployments, and Materials for Antenna Design
Indrasen Singh, Shubham Tayal, Niraj Pratap Singh, Vijay Shanker Tripathi, and Ghanshyam Singh
CRC Press



Internet of Multimedia Things (IoMT); Communication Techniques Perspective
Vinay Kumar, Sumit Kushwaha, Indrasen Singh, Rabindra K Barik, Gyanesh Singh, and Manish Sabraj
CRC Press



Compact Four-Port Monopole MIMO Antenna Loaded with CSRR for Multiband Applications
Jayaraman G., Indrasen Singh, and Dilip Kumar Choudhary
IEEE
This work presents a single-port and four-port compact monopole multiple input multiple output (MIMO) antenna loaded with a complementary split ring resonator (CSRR). A single element made up of a single-port monopole microstrip with a CSRR and partial ground ring on an FR4 epoxy substrate. MIMO to form a four-port monopole microstrip with CSRR on epoxy FR4 substrate and partial ground ring. The elements with CSRR are placed orthogonal to each other to reduce mutual coupling and increase isolation. The designed antenna operates from 2.2 GHz to 4.6 GHz. It has an array of 4*4 MIMO antennas with an overall size of 45mm*45mm*1.6mm. The simulated S-parameter (reflection and transmission coefficient) has been achieved for a given band of frequencies. MIMO configuration having isolation > 10 dB among the ports with gain >2 dB and covers WLAN/WiFi (2.4GHz-2.48GHz), Bluetooth(2.4GHz-2.48GHz), WiMAX(2.3GHz-2.7GHz), ISM(2.4GHz-2.48GHz), LTE(2.3GHz-2.7GHz),and 5G application (3.3GHz -3.6GHz). The diversity performance matrices are envelope correlation coefficient (ECC<0.01), diversity gain (DG >9.95dB), Mean effective gain (MEG-1), and total active reflection coefficient (TARC <-10dB) have been simulated. The performance of the antenna in terms of S-parameters, and radiation pattern are satisfactory. MIMO covers to various applications such as WLAN, WiMAX, WiFi, ISM band, Bluetooth, LTE-A, and 5G communication.


A Review on Precoding Techniques for Massive MIMO-Based Wireless Communication
Aman Kumar, Suman Kumar, Indrasen Singh, Jatinder Kaur, and Sumanpreet Kaur
IEEE
To enhance the performance of fifth-generation (5G) or beyond 5G communication, Massive Multiple Input Multiple Output (mMIMO) technology plays a crucial role. The precoding technique is essential in optimizing the transmission process by mitigating interference and improving the overall spectral efficiency. The paper discusses various precoding strategies, including zero-forcing, minimum mean square error, maximum ratio transmission, and other advanced techniques tailored for maMIMO environments. Furthermore, the impact of channel state information (CSI) on precoding design is explored, considering both idealistic scenarios and practical channel estimation challenges. The objective is to provide researchers, engineers, and practitioners with a comprehensive understanding of the state-of-the-art precoding techniques in mMIMO, their advantages, limitations, and potential applications in future communication systems. Through this exploration, the paper gives a thorough study of precoding techniques and mMIMO technology for next-generation communication.


Cooperative PowerDomain Non-Orthogonal Multiple Access (NOMA) in 5G Systems Potentials and Challenges
Mohd Javed Khan and Indrasen Singh
CRC Press



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, and Sandeep Singh
Springer Nature Switzerland



Object Recognition and Tracking for Enhanced Security Using Computer Vision
Jasgurpreet Singh Chohan, Yogendra Kumar, Indrasen Singh, Bhawna Goyal, Deepa Bisht, and Ahmed Alkhayyat
Springer Nature Switzerland



Deep Learning-Based Approaches for Facial Recognition Technology Through Convolutional Neural Networks
Ayush Dogra, Ahmed Alkhayyat, Indrasen Singh, Swati Pathak, Arti Badhoutiya, and Deepti Sharma
Springer Nature Switzerland



Web Server Solution for Community-Centric Market Listing Network with Category Filters
Sandeep Singh, Ahmed Alkhayyat, Kanchan Yadav, Neeti Misra, Indrasen Singh, and Ayush Dogra
Springer Nature Switzerland

RECENT SCHOLAR PUBLICATIONS

Role of Machine Learning Applications in VLSI Design
MJ Khan, P Gaur, I Singh, S Ahmad
Advancing VLSI through Machine Learning: Innovations and Research 2025



Secrecy outage probability and strictly positive secrecy capacity of UAV assisted cooperative NOMA system with two untrusted destinations
MJ Khan, S Ahmad, I Singh, UK Sahu
Scientific Reports 15 (1), 8246 2025



Gain and Isolation Improvement Techniques for MIMO Antenna: A Compendious Survey
G Jayaraman, I Singh, DK Choudhary
Results in Engineering, 104482 2025



HDL-ACO hybrid deep learning and ant colony optimization for ocular optical coherence tomography image classification
S Agarwal, AK Dohare, P Saxena, J Singh, I Singh, UK Sahu
Scientific Reports 15 (1), 5888 2025



Achievable Sum Rate Analysis for Moving Relay Assisted Cooperative NOMA system over Rician Fading Channels
QS Ahmad, MJ Khan, IU Khan, I Singh, S Ahmad, G Singh
IEEE Access 2025



Intelligent Network Selection Mechanisms in the Internet of Everything System
I Singh, M Munjal
IEEE Access 2025



Millimetre Wave for Next-Generation Networks: Opportunities, Challenges, and Possible Solutions
MJ Khan, P Gaur, S Ahmad, I Singh
5G and Beyond Wireless Communications, 35-55 2025



Optimal Design of Smart Antenna Arrays for Beamforming, Direction Finding, and Null Placement Using the Soft Computing Method
A Chakraborty, A Mishra, I Singh, S Ahmad, MJ Khan, D Sharma, ...
International Journal of Numerical Modelling: Electronic Networks, Devices 2024



Radiation Pattern Synthesis of Smart Fourth Dimensional (4D) Antenna Arrays Using Optimal Pulse Splitting Method
A Chakraborty, RS Saxena, I Singh, J Bansal, AS Abdalrazzaq, MA Rasol, ...
Scientia Iranica 2024



A Review on Precoding Techniques for Massive MIMO-Based Wireless Communication
A Kumar, S Kumar, I Singh, J Kaur, S Kaur
2024 Second International Conference on Microwave, Antenna and Communication 2024



Compact Four-Port Monopole MIMO Antenna Loaded with CSRR for Multiband Applications
G Jayaraman, I Singh, DK Choudhary
2024 Second International Conference on Microwave, Antenna and Communication 2024



5G and Beyond Wireless Communications: Fundamentals, Applications, and Challenges
A Bhowmick, YK Choukiker, I Singh, A Nallanathan
CRC Press 2024



Establishing Seamless Connectivity through UAV Communication Systems
S Ahmad, MJ Khan, I Singh
Microwave Devices and Circuits for Advanced Wireless Communication, 298-316 2024



Defending Medicare: Unleashing the Power of Anti-Vortex Technology against Hackers in Cloud Environment
S Jana, AK Gupta, NK Vashisht, A Jolly, V Pandey, I Singh
Cloud of Things, 202-222 2024



Microwave Devices and Circuits for Advanced Wireless Communication: Design and Analysis
GS Dilip Kumar Choudhary, Naveen Mishra, Indrasen Singh, Naser Ojaroudi Parchin
CRC Press 1, 340 2024



Multiple Pattern Synthesis in Four-Dimensional Antenna Arrays Using the Quasi-Newton Memetic Optimization Method
A Chakraborty, I Singh, S Bhattacharya, KP Sharma, V Namdev, ...
IETE Journal of Research 70 (7), 6055-6068 2024



Exploring Biomedical Named Entity Recognition via SciSpaCy and BioBERT Models
A Jolly, V Pandey, I Singh, N Sharma
The Open Biomedical Engineering Journal 18 (1) 2024



Mobility management in heterogeneous network of vehicular communication with 5g: Current status and future perspectives
MJ Khan, RCS Chauhan, I Singh, Z Fatima, G Singh
IEEE Access 2024



SMALL SCALED FILTERING DIVIDER FOR WIRELESS APPLICATIONS
IS Dilip Kumar Choudhary, Naveen Mishra
IN Patent 202,441,044,653 2024



Molecular Dynamics Studies using Machine Learning to predict the effect of nano vacancies on electrical and mechanical performance of Silicon based solar cells
V Siruvuri, PK Chaurasiya, I Singh, V Pandey
2024 3rd International Conference on Artificial Intelligence For Internet of 2024

MOST CITED SCHOLAR PUBLICATIONS

Micro strip patch antenna and its applications: a survey
I Singh, VS Tripathi
Int. J. Comp. Tech. Appl 2 (5), 1595-1599 2011
Citations: 425



Coverage and capacity analysis of relay-based device-to-device communications underlaid cellular networks
I Singh, NP Singh
Engineering Science and Technology, an International Journal 21 (5), 834-842 2018
Citations: 25



Inverted Z and circular slot patch antenna for WLAN and WiMAX
P Ranjan, N Kishore, I Singh, VS Tripathi
2012 2nd International Conference on Power, Control and Embedded Systems, 1-5 2012
Citations: 14



Outage probability and ergodic channel capacity of underlay device-to-device communications over κ-μ shadowed fading channels
I Singh, NP Singh
Wireless Networks 26 (1), 573-582 2020
Citations: 11



Microstrip patch antenna for breast cancer tumour detection: a survey
I Singh, VS Tripathi, S Tiwari
International Journal of Signal and Imaging Systems Engineering 8 (4), 215-222 2015
Citations: 11



Mobility management in heterogeneous network of vehicular communication with 5g: Current status and future perspectives
MJ Khan, RCS Chauhan, I Singh, Z Fatima, G Singh
IEEE Access 2024
Citations: 8



Performance analysis of heterogeneous network using relay diversity in high-speed vehicular communication
MJ Khan, RCS Chauhan, I Singh
Wireless Personal Communications 125 (2), 1163-1184 2022
Citations: 7



Energy‐efficient multiple cooperative moving relay selection for heterogeneous nonorthogonal‐multiple access systems
MJ Khan, RCS Chauhan, I Singh
International Journal of Communication Systems, e5408 2022
Citations: 7



Outage probability of device-to-device communication underlaying cellular network over Nakagami/Rayleigh fading channels
I Singh, RK Jaiswal, V Kumar, R Verma, NP Singh, G Singh
2019 9th International Conference on Emerging Trends in Engineering and 2019
Citations: 7



Outage probability and throughput of cooperative non‐orthogonal multiple access with moving relay in heterogeneous network
MJ Khan, RCS Chauhan, I Singh
Transactions on Emerging Telecommunications Technologies 33 (12), e4616 2022
Citations: 6



Analysis of success probability for device-to-device communication underlaid cellular networks operating over generalized κ− μ fading
I Singh, NP Singh
Optik 178, 731-739 2019
Citations: 5



Sideband power control in time-modulated antenna arrays for bidirectional harmonic beamforming and beam scanning
A Chakraborty, I Singh, S Gupta, G Ram, D Mandal
AEU-International Journal of Electronics and Communications 170, 154788 2023
Citations: 4



Comparative analysis of full duplex and half duplex relay for high-speed vehicular scenario
MJ Khan, RCS Chauhan, I Singh
Wireless Personal Communications 127 (4), 3435-3448 2022
Citations: 4



BER Performance using BPSK modulation over rayleigh and rician fading channel
MJ Khan, I Singh, S Tayal
2022 IEEE 11th International Conference on Communication Systems and Network 2022
Citations: 4



Digital Image Processing Based Automatic Fabric Defect Detection Techniques: A Survey
V Raut, I Singh
Electronic Systems and Intelligent Computing: Proceedings of ESIC 2020, 1029 2020
Citations: 4



Exploring Biomedical Named Entity Recognition via SciSpaCy and BioBERT Models
A Jolly, V Pandey, I Singh, N Sharma
The Open Biomedical Engineering Journal 18 (1) 2024
Citations: 3



Coverage Probability Analysis of Device-to-Device Communication Underlaid Cellular Networks in Uplink Over κ - μ / η - μ Fading Channels
I Singh, NP Singh
International Journal of Wireless Information Networks 26 (1), 39-47 2019
Citations: 3



Multi-pattern synthesis in fourth-dimensional antenna arrays using BGM-based quasi-Newton memetic optimization method
A Chakraborty, RS Saxena, A Verma, A Juyal, S Gupta, I Singh, G Ram, ...
International Journal of Microwave and Wireless Technologies 16 (2), 284-294 2024
Citations: 2



Cooperative Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges
MJ Khan, I Singh
5G and Beyond Wireless Networks, 13-36 2024
Citations: 2



A compendious study of device-to-device communication underlaying cellular networks
I Singh, NP Singh
International Journal of Mobile Network Design and Innovation 9 (2), 68-84 2019
Citations: 2