Welcome to the page of Dr. Saurabh Srivastava
Coefficient-Scaling-Based Fair Power Allocation for Multi-User Power-Domain Nonorthogonal Multiple Access Network (https://www.worldscientific.com/doi/abs/10.1142/S0218126621503035)
ML-based reconfigurable symbol decoder: An alternative for next-generation communication systems (https://doi.org/10.1016/j.engappai.2022.105123)
Enhancing non-orthogonal multiple access systems: A reconfigurable Machine Learning classification approach (https://doi.org/10.1016/j.engappai.2025.112080)
Exploiting HDU/FDU-NOMA Schemes for Reliable Communication in Post-disaster Scenario (https://doi.org/10.1007/s11277-024-11144-w)
Constellation design for PD-NOMA-based mmWave inter-satellite communication (https://doi.org/10.1016/j.compeleceng.2024.109187)
Reinforcement-driven SCMA codebook design with adaptive BER-MI trade-off (communicated)
On the Role of Overlapping Factor in FBMC-SMT Systems (https://www.mecs-press.org/ijigsp/ijigsp-v7-n3/IJIGSP-V7-N3-5.pdf)
Capacity Analysis of Non-Orthogonal Multiple Access for Uplink and Downlink (https://doi.org/10.13052/jmm1550-4646.171320)
GP-based fair power allocation for 6G multi-user power domain NOMA network (https://doi.org/10.1007/s12652-022-03905-x)
Global perspectives on digital twin adoption in healthcare (https://www.taylorfrancis.com/chapters/edit/10.1201/9781003498117-11/global-perspectives-digital-twin-adoption-healthcare-saurabh-srivastava-prajna-parimita-dash)
Key issues in NOMA from the 6G perspective (https://www.taylorfrancis.com/chapters/edit/10.1201/9781003515920-7/key-issues-noma-6g-perspective-saurabh-srivastava-rampravesh-kumar-sanjay-kumar?context=ubx&refId=79a8a0f1-e7e7-4683-8e63-b7c5b1c0b805)
Decisive Analysis of Fixed Power Allocation Coefficients in a PD-NOMA Network (https://doi.org/10.1109/ICCCMLA56841.2022.9989217)
Non-Orthogonal Multiple Access: Procession towards B5G and 6G (https://doi.org/10.1109/AESPC52704.2021.9708494)
Analysis of NOMA: In capacity domain (https://www.riverpublishers.com/downloadchapter.php?file=RP_9788770222174C4.pdf)
Coefficient-Scaling-Based Fair Power Allocation for Multi-User Power-Domain Nonorthogonal Multiple Access Network (https://www.worldscientific.com/doi/abs/10.1142/S0218126621503035)
ML-based reconfigurable symbol decoder: An alternative for next-generation communication systems (https://doi.org/10.1016/j.engappai.2022.105123)
Enhancing non-orthogonal multiple access systems: A reconfigurable Machine Learning classification approach (https://doi.org/10.1016/j.engappai.2025.112080)
Exploiting HDU/FDU-NOMA Schemes for Reliable Communication in Post-disaster Scenario (https://doi.org/10.1007/s11277-024-11144-w)
Constellation design for PD-NOMA-based mmWave inter-satellite communication (https://doi.org/10.1016/j.compeleceng.2024.109187)
Reinforcement-driven SCMA codebook design with adaptive BER-MI trade-off (communicated)
Analysis of NOMA: In capacity domain
Non-orthogonal Multiple Access: Procession towards B5G and 6G
Decisive analysis of fixed power allocation coefficients in a PD-NOMA network
Implementation of acoustic effects in the audio signal
Image compression-decompression and SNR analysis using DCT
Implementation of two channel QMF digital filterbank and its error analysis using MATLAB
Non-orthogonal multiple access (NOMA) technique for next generation wireless communication
ML-applications in Communications
Handbook of Mobile Computing, (ISBN:978-93-6674-963-1 )Scientific International Publishing House.
Global Perspectives on Digital Twins Adoption in Healthcare (Digital Twin Technology for Better Health, CRC Press, Taylor & Francis) (https://www.taylorfrancis.com/chapters/edit/10.1201/9781003498117-11/global-perspectives-digital-twin-adoption-healthcare-saurabh-srivastava-prajna-parimita-dash)
Key issue in NOMA from 6G perspective (6G Connectivity- Systems, Technologies and Applications, River Publishers, Taylor & Francis) (https://www.taylorfrancis.com/chapters/edit/10.1201/9781003515920-7/key-issues-noma-6g-perspective-saurabh-srivastava-rampravesh-kumar-sanjay-kumar)
Simulation and Performance Analysis of Smart City Healthcare Networks with AI-Augmented Communication Frameworks (Communication Protocols & AI Integration for Real-Time Monitoring and Preventive Healthcare Systems in Smart Cities, Rademics Research Institute) (https://doi.org/10.71443/9789349552487-17)
Green Computing and Energy-Efficient AI models (Smart Energy Systems, Springer)(accepted)
Network security defending device
Next-gen Medical Imaging Diagnosis using ML
Drone swarm coordination system with blockchain verification for autonomous operations