SAURABH SRIVASTAVA

@engg.kkwagh.edu.in

Assistant Professor
K. K. Wagh Institute of Engineering Education and Research, Nashik

SAURABH SRIVASTAVA


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https://researchid.co/saurabhnitkian

EDUCATION

Ph.D. (Wireless Communications)

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence
12

Scopus Publications

59

Scholar Citations

5

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Enhancing non-orthogonal multiple access systems: A reconfigurable Machine Learning classification approach
    Saurabh Srivastava, Rampravesh Kumar, Prajna Parimita Dash
    Engineering Applications of Artificial Intelligence, 2025
    Non-Orthogonal Multiple Access (NOMA) is being considered as a Multiple Access (MA) technique for the next-generation systems, due to factors such as a high per-user spectral resource allocation, grant-free transmission, support for millimeter Waves (mmWaves) and massive-MIMO (mMIMO). A practical limitation of the NOMA systems is imperfect Successive Interference Cancellation (SIC); and the involved decoding delay. This work develops a data-driven Machine Learning (ML) model providing the functionality of a SIC receiver. While most of the Deep Learning (DL) algorithms have high complexity and training times, the given ML approach utilizes the received symbol as the only primary predictor. The other two predictors are derived from the primary predictor, and utilized for the Power-Domain (PD)-NOMA symbol-decoding process. The model utilizes a developed low-complexity NOMA-ML-based Decoder (MLbD) dataset for the same. The extensive test simulations confirm the reconfigurable ML-based receiver to be at par with the existing Maximum Likelihood (MLH) decoder in terms of decoding accuracy. Still, the former supports its integration into the next-generation systems due to its reconfigurable nature and removes the drawbacks related to SIC in the NOMA systems.
  • Global perspectives on digital twin adoption in healthcare
    Saurabh Srivastava, Prajna Parimita Dash
    Digital Twin Technology for Better Health A Healthcare Odyssey, 2025
    Digital twins (DTs) represent a cutting-edge technological advancement, creating virtual models of physical objects, systems, or any processes that mirror their real-world counterparts throughout their lifecycle. Initially developed by NASA for space exploration, DT technology has since expanded into various industries, notably healthcare, where it is revolutionizing patient care, hospital management, and medical device optimization. Chapter 11 explores the evolution, application, and prospects of DTs within the healthcare sector. This chapter begins by tracing the origins of DTs, from their early use in the Apollo-13 mission to their formal conceptualization in the mid-2000s. It then delves into the current applications of DTs in healthcare, highlighting their role in enhancing operational efficiency, personalizing treatment plans, and predicting patient outcomes. The integration of the Internet of Things (IoT), artificial intelligence (AI), and big data analytics is highlighted as a key enabler of DT technology, allowing for real-time data collection, processing, and analysis. Despite their transformative potential, the implementation of DTs in healthcare is not without challenges. This chapter addresses key obstacles such as data integration, regulatory and ethical concerns, and the need for interoperability among diverse healthcare systems. It also examines the resource-intensive nature of DT development and the importance of clinical validation to gain the trust of healthcare professionals. Looking ahead, this chapter identifies exciting opportunities for DTs in personalized medicine, early disease detection, virtual clinical trials, and remote patient monitoring. It concludes with an analysis of global adoption trends, projecting significant market growth and increased investment in DT technology over the coming decade. As the healthcare industry continues to evolve, DTs are poised to become indispensable tools in improving patient outcomes and optimizing healthcare delivery.
  • Constellation design for PD-NOMA-based mmWave inter-satellite communication
    Saurabh Srivastava, Prajna Parimita Dash, Deepak Kumar Rout, Dinesh Madhukar Chandwadkar, Sunita Pandit Ugale
    Computers and Electrical Engineering, 2024
  • Exploiting HDU/FDU-NOMA Schemes for Reliable Communication in Post-disaster Scenario
    Rampravesh Kumar, Saurabh Srivastava, Sanjay Kumar
    Wireless Personal Communications, 2024
  • Key issues in NOMA from the 6G perspective
    6g Connectivity Systems Technologies and Applications Digitalization of New Technologies 6g and Evolution, 2024
  • GP-based fair power allocation for 6G multi-user power domain NOMA network
    Saurabh Srivastava, Prajna Parimita Dash
    Journal of Ambient Intelligence and Humanized Computing, 2024
  • ML-based reconfigurable symbol decoder: An alternative for next-generation communication systems
    Saurabh Srivastava, Prajna Parimita Dash
    Engineering Applications of Artificial Intelligence, 2022
  • Decisive Analysis of Fixed Power Allocation Coefficients in a PD-NOMA Network
    Saurabh Srivastava, Prajna Parimita Dash, Sanjay Kumar
    Proceedings of 4th International Conference on Cybernetics Cognition and Machine Learning Applications Icccmla 2022, 2022
    Artificial Intelligence (AI) is likely to turn into an integral component of the next-generation Power-Domain (PD)-Non-Orthogonal Multiple Access (NOMA) systems, in which the Power Allocation (PA) plays a major role in the system performance. This paper furnishes a constellation-based approach for PA in a two-user uplink PD-NOMA system, apart from its application in simultaneous user-decoding without Successive Interference Cancellation (SIC). The formulated approach overcomes SIC-related anomalies at the receiver. The software simulations reinforce the information-theoretic results validating the methodology. The optimal PA coefficients also provide prospects for integrating AI with NOMA systems that are proposed for 5G and beyond systems.
  • Coefficient-Scaling-Based Fair Power Allocation for Multi-User Power-Domain Nonorthogonal Multiple Access Network
    Saurabh Srivastava, Prajna Parimita Dash
    Journal of Circuits Systems and Computers, 2021
    Fair power allocation to the users in a power domain nonorthogonal multiple access (PD-NOMA) networks is an essential aspect. In this paper, we have proposed a coefficient-scaling-based fair power allocation scheme, for a single cell multi-user PD-NOMA network. First, we have developed a model for two users with a fixed power allocation scheme, and proposed a modified strong user fair-power allocation scheme. Furthermore, this two-user scheme is extended for an ad-hoc multi-user PD-NOMA network and a coefficient-scaling-based approach for fair power allocation is proposed to address the outage issue. The performance of the proposed schemes is evaluated through bit-error-rate, sum-rate, outage, and fairness index. The simulation results reveal a remarkable increase in fairness performance of the proposed scheme, in comparison with a state-of-the-art method.
  • Capacity analysis of non-orthogonal multiple access for uplink and downlink
    Saurabh Srivastava, Prajna Parimita Dash, Sanjay Kumar
    Journal of Mobile Multimedia, 2021
    Non-orthogonal multiple access (NOMA) is intended to be used for the next generation 5G cellular networks. In this paper, the expressions for the channel capacities for symmetric and asymmetric NOMA networks have been analysed. The performance measure of user spectral efficiency and the sum-rate bounds, for the NOMA and the existing orthogonal multiple access (OMA) networks have been compared. Furthermore, analysis of user rate and capacity of NOMA network has been carried out and it is observed that the NOMA capacity region varies as a function of the power allocation factor. The corresponding models have been developed for both uplink and downlink, and simulated with MATLAB. The NOMA performance with imperfect Successive Interference Cancellation (SIC) decoding is also analysed for the downlink. It is also verified that the transmit power may be increased to counter the spectral efficiency reduction due to imperfect SIC.
  • Non-Orthogonal Multiple Access: Procession towards B5G and 6G
    Saurabh Srivastava, Prajna Parimita Dash
    IEEE 2nd International Conference on Applied Electromagnetics Signal Processing and Communication Aespc 2021 Proceedings, 2021
  • Analysis of NOMA: In capacity domain
    International Symposium on 5g Beyond for Rural Upliftment 2020 in Twinning Activity Between BIT Sindri Iit Ism Dhanbad Jointly with the IEEE 5g Summit and 35th Gisfi Standardization Series Meeting Gssm, 2020

RECENT SCHOLAR PUBLICATIONS

  • Footstep Energy Harvesting using Piezoelectric Transducers for Sustainable Smart Infrastructure in India
    BS Saurabh Srivastava, Sunita Rajmane, Pratik Tungar
    2nd International Conference on Recent Advances in Engineering and Sciences … , 2026
    2026
  • Enhancing non-orthogonal multiple access systems: A reconfigurable Machine Learning classification approach
    S Srivastava, R Kumar, PP Dash
    Engineering Applications of Artificial Intelligence 161 (B), 112080 , 2025
    2025
  • Chapter 11: Global Perspectives on Digital Twins Adoption in Healthcare
    S Srivastava, PP Dash
    Digital Twins Technology for Better Health: A Healthcare Odyssey, 11 , 2025
    2025
  • Drone swarm coordination system with blockchain verification for autonomous operations
    A Kumar, S Srivastava, N Khatoon, RR Khinde, P Pranav, S Dutta
    IN Patent Journal No. 22/2,025 , 2025
    2025
  • Ch. 17: Simulation and Performance Analysis of Smart City Healthcare Networks with AI-Augmented Communication Frameworks
    S Srivastava, RJ Kumar
    Communication Protocols and AI Integration for Real-Time Monitoring and … , 2025
    2025
  • Network Security Defending Device
    A Kumar, S Srivastava, P Pranav, S Dutta
    IN Patent 168,898 , 2024
    2024
  • Exploiting HDU/FDU‑NOMA Schemes for Reliable Communication in Post‑disaster Scenario
    S. Srivastava, S. Kumar, Rampravesh Kumar
    Wireless Personal Communication , 2024
    2024
    Citations: 2
  • Handbook of Mobile Computing
    S Srivastava
    Scientific International Publishers, India , 2024
    2024
  • Key Issues in NOMA from the 6G Perspective
    S Srivastava, R Kumar, Sanjay Kumar
    6G Connectivity-Systems, Technologies, and Applications, 139-156 , 2024
    2024
  • Constellation design for PD-NOMA-based mmWave inter-satellite communication
    S Srivastava, PP Dash, DK Rout, DM Chandwadkar, SP Ugale
    Computers and Electrical Engineering 116, 109187 , 2024
    2024
    Citations: 9
  • Next- Gen Medical Imaging Diagnosis Using ML
    JAK Ayyakkannu Selvaraj, Om Prakash Singh, Saurabh Srivastava, Anilkumar ...
    GB Patent Version:14-2023, Class:24, Subclass:01 , 2023
    2023
  • Decisive analysis of fixed power allocation coefficients in a PD-NOMA network
    S Srivastava, PP Dash, S Kumar
    2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine … , 2022
    2022
    Citations: 2
  • ML-based reconfigurable symbol decoder: An alternative for next-generation communication systems
    S Srivastava, PP Dash
    Engineering Applications of Artificial Intelligence 114 (C) , 2022
    2022
    Citations: 6
  • GP-based fair power allocation for 6G multi-user power domain NOMA network
    S Srivastava, PP Dash
    Journal of Ambient Intelligence and Humanized Computing, 1-13 , 2022
    2022
    Citations: 7
  • Coefficient-scaling-based fair power allocation for multi-user power-domain nonorthogonal multiple access network
    S Srivastava, PP Dash
    Journal of Circuits, Systems and Computers 30 (16), 2150303 , 2021
    2021
    Citations: 4
  • Non-orthogonal multiple access: Procession towards B5G and 6G
    S Srivastava, PP Dash
    2021 IEEE 2nd International Conference on Applied Electromagnetics, Signal … , 2021
    2021
    Citations: 12
  • Capacity Analysis of Non-Orthogonal Multiple Access for Uplink and Downlink
    S Srivastava, PP Dash, S Kumar
    Journal of Mobile Multimedia 17 (1-3), 1-22 , 2021
    2021
    Citations: 4
  • Analysis of NOMA: In Capacity Domain
    S Srivastava, PP Dash, S Kumar
    International Symposium on 5G and Beyond for Rural Upliftment, 28-38 , 2020
    2020
    Citations: 3
  • on the role of overlapping factor in FBMC-SMT systems
    S Srivastava, OP Sahu
    International Journal of Image, Graphics and Signal Processing 7 (3), 31 , 2015
    2015
    Citations: 8
  • Filter bank based notch filter for interference cancellation in UWB systems
    S Saurabh, OP Sahu
    Int. J. Adv. Res. Innov 2 (2), 495-504 , 2014
    2014
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • Non-orthogonal multiple access: Procession towards B5G and 6G
    S Srivastava, PP Dash
    2021 IEEE 2nd International Conference on Applied Electromagnetics, Signal … , 2021
    2021
    Citations: 12
  • Constellation design for PD-NOMA-based mmWave inter-satellite communication
    S Srivastava, PP Dash, DK Rout, DM Chandwadkar, SP Ugale
    Computers and Electrical Engineering 116, 109187 , 2024
    2024
    Citations: 9
  • on the role of overlapping factor in FBMC-SMT systems
    S Srivastava, OP Sahu
    International Journal of Image, Graphics and Signal Processing 7 (3), 31 , 2015
    2015
    Citations: 8
  • GP-based fair power allocation for 6G multi-user power domain NOMA network
    S Srivastava, PP Dash
    Journal of Ambient Intelligence and Humanized Computing, 1-13 , 2022
    2022
    Citations: 7
  • ML-based reconfigurable symbol decoder: An alternative for next-generation communication systems
    S Srivastava, PP Dash
    Engineering Applications of Artificial Intelligence 114 (C) , 2022
    2022
    Citations: 6
  • Coefficient-scaling-based fair power allocation for multi-user power-domain nonorthogonal multiple access network
    S Srivastava, PP Dash
    Journal of Circuits, Systems and Computers 30 (16), 2150303 , 2021
    2021
    Citations: 4
  • Capacity Analysis of Non-Orthogonal Multiple Access for Uplink and Downlink
    S Srivastava, PP Dash, S Kumar
    Journal of Mobile Multimedia 17 (1-3), 1-22 , 2021
    2021
    Citations: 4
  • Analysis of NOMA: In Capacity Domain
    S Srivastava, PP Dash, S Kumar
    International Symposium on 5G and Beyond for Rural Upliftment, 28-38 , 2020
    2020
    Citations: 3
  • Exploiting HDU/FDU‑NOMA Schemes for Reliable Communication in Post‑disaster Scenario
    S. Srivastava, S. Kumar, Rampravesh Kumar
    Wireless Personal Communication , 2024
    2024
    Citations: 2
  • Decisive analysis of fixed power allocation coefficients in a PD-NOMA network
    S Srivastava, PP Dash, S Kumar
    2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine … , 2022
    2022
    Citations: 2
  • Filter bank based notch filter for interference cancellation in UWB systems
    S Saurabh, OP Sahu
    Int. J. Adv. Res. Innov 2 (2), 495-504 , 2014
    2014
    Citations: 2
  • Footstep Energy Harvesting using Piezoelectric Transducers for Sustainable Smart Infrastructure in India
    BS Saurabh Srivastava, Sunita Rajmane, Pratik Tungar
    2nd International Conference on Recent Advances in Engineering and Sciences … , 2026
    2026
  • Enhancing non-orthogonal multiple access systems: A reconfigurable Machine Learning classification approach
    S Srivastava, R Kumar, PP Dash
    Engineering Applications of Artificial Intelligence 161 (B), 112080 , 2025
    2025
  • Chapter 11: Global Perspectives on Digital Twins Adoption in Healthcare
    S Srivastava, PP Dash
    Digital Twins Technology for Better Health: A Healthcare Odyssey, 11 , 2025
    2025
  • Drone swarm coordination system with blockchain verification for autonomous operations
    A Kumar, S Srivastava, N Khatoon, RR Khinde, P Pranav, S Dutta
    IN Patent Journal No. 22/2,025 , 2025
    2025
  • Ch. 17: Simulation and Performance Analysis of Smart City Healthcare Networks with AI-Augmented Communication Frameworks
    S Srivastava, RJ Kumar
    Communication Protocols and AI Integration for Real-Time Monitoring and … , 2025
    2025
  • Network Security Defending Device
    A Kumar, S Srivastava, P Pranav, S Dutta
    IN Patent 168,898 , 2024
    2024
  • Handbook of Mobile Computing
    S Srivastava
    Scientific International Publishers, India , 2024
    2024
  • Key Issues in NOMA from the 6G Perspective
    S Srivastava, R Kumar, Sanjay Kumar
    6G Connectivity-Systems, Technologies, and Applications, 139-156 , 2024
    2024
  • Next- Gen Medical Imaging Diagnosis Using ML
    JAK Ayyakkannu Selvaraj, Om Prakash Singh, Saurabh Srivastava, Anilkumar ...
    GB Patent Version:14-2023, Class:24, Subclass:01 , 2023
    2023