Debbarni Sarkar - IEEE Xplore Author Profile
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Debbarni Sarkar

Publications
5
Citations
38
Publications by Year
20232024
Co-Authors:
Show All Co-Authors (8)
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Debbarni Sarkar

Affiliation

Department of ECE
NIT Meghalaya
Meghalaya, India

Publication Topics

Biography

Debbarni Sarkar (Member, IEEE) received the Bachelor of Technology degree in electronics and communication engineering (ECE) from the Narula Institute of Technology, Kolkata, India, in 2017, and the Master of Technology degree in ECE from the Heritage Institute of Technology, Kolkata, in 2019. She is currently pursuing the Ph.D. degree with the National Institute of Technology Meghalaya, Shillong, India.,She was an Assistant Professor with the Department of ECE, Future Institute of Engineering and Management, Rajpur Sonarpur, India, from February 2020 to June 2021. Her research interests include intelligent reflecting surfaces, nonorthogonal multiple access, Internet of Things, hybrid automatic repeat request, machine learning, and deep lea...
Publications
5
Citations
38
Publications by Year
20232024
Co-Authors:
Show All Co-Authors (8)
Author's Published Works

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Enhanced Decision Making Through Deep Learning-Driven Robotic Process Automation

Amrit Jagannath;Debbarni Sarkar;Sarat Kumar Patra

2024 3rd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON)
Year: 2024 | Conference Paper |
Robotics process automation (RPA) is a key technique in modern technology. The RPA guarantees that tasks are completed accurately and consistently, which is essential for decision-making. Further, the performance of the RPA can be enhanced by combined with deep learning (DL) models. DL models perform prediction more effectively than traditional rule-based methods, where RPA handles repetitive task...Show More

Enhanced Decision Making Through Deep Learning-Driven Robotic Process Automation

Amrit Jagannath;Debbarni Sarkar;Sarat Kumar Patra

Year: 2024 | Conference Paper |

TDRA: Transformer-Based Deep Recurrent Architecture for Automatic Modulation Classification Pertinent to Intelligent-Reflecting-Surface-Assisted Internet of Things Networks

Debbarni Sarkar;Yogita;Satyendra Singh Yadav;Linga Reddy Cenkeramaddi;Om Jee Pandey

IEEE Internet of Things Journal
Year: 2024 | Volume: 11, Issue: 23 | Journal Article |
Cited by: Papers (2)
In wireless networks, automatic modulation classification (AMC) is crucial for enabling intelligent signal demodulation, thereby enhancing the system’s adaptability across various applications. Concurrently, the rapid expansion of the Internet of Things (IoT) necessitates scalable network solutions with limited power consumption. Moreover, addressing the Nonline-of-Sight (NLoS) effects in IoT netw...Show More

TDRA: Transformer-Based Deep Recurrent Architecture for Automatic Modulation Classification Pertinent to Intelligent-Reflecting-Surface-Assisted Internet of Things Networks

Debbarni Sarkar;Yogita;Satyendra Singh Yadav;Linga Reddy Cenkeramaddi;Om Jee Pandey

Year: 2024 | Volume: 11, Issue: 23 | Journal Article |

A Comprehensive Survey on IRS-Assisted NOMA-Based 6G Wireless Network: Design Perspectives, Challenges and Future Directions

Debbarni Sarkar;Yogita;Satyendra Singh Yadav;Vipin Pal;Neeraj Kumar;Sarat Kumar Patra

IEEE Transactions on Network and Service Management
Year: 2024 | Volume: 21, Issue: 2 | Journal Article |
Cited by: Papers (18)
The propagation environment was uncontrollable in first-generation to fifth-generation (5G) wireless technologies. This behavior of the wireless propagation environment is one of the prime constraints in harnessing the performance of wireless networks. This problem can be addressed in sixth-generation (6G) wireless networks by deploying intelligent reflecting surfaces (IRSs). IRS’s amplitude and p...Show More

A Comprehensive Survey on IRS-Assisted NOMA-Based 6G Wireless Network: Design Perspectives, Challenges and Future Directions

Debbarni Sarkar;Yogita;Satyendra Singh Yadav;Vipin Pal;Neeraj Kumar;Sarat Kumar Patra

Year: 2024 | Volume: 21, Issue: 2 | Journal Article |

Performance Evaluation of IRS Assisted HARQ aided MIMO Wireless Network over Different Fading Channels

Debbarni Sarkar;Satyendra Singh Yadav;Vipin Pal;Sarat Kumar Patra

2023 IEEE 20th India Council International Conference (INDICON)
Year: 2023 | Conference Paper |
Cited by: Papers (4)
Intelligent reflecting surface (IRS) is a potential candidate for future wireless networks for reliable communication. This paper aims to achieve effective and reliable communication in future wireless networks thus addressing an IRS assisted hybrid automatic repeat request (HARQ) aided multiple input multiple output (MIMO) wireless networks. Further, in the HARQ protocol, the equal gain combining...Show More

Performance Evaluation of IRS Assisted HARQ aided MIMO Wireless Network over Different Fading Channels

Debbarni Sarkar;Satyendra Singh Yadav;Vipin Pal;Sarat Kumar Patra

Year: 2023 | Conference Paper |

Intelligent Reflecting Surface Aided NOMA-HARQ Based IoT Framework for Future Wireless Networks

Debbarni Sarkar;Satyendra Singh Yadav;Vipin Pal;Yogita;Neeraj Kumar

IEEE Transactions on Vehicular Technology
Year: 2023 | Volume: 72, Issue: 5 | Journal Article |
Cited by: Papers (14)
In sixth-generation (6G) wireless networks, non-orthogonal multiple access (NOMA) technology is widely used to improve the spectrum efficiency. Along with NOMA, hybrid automatic repeat request (HARQ) technique is used to enhance the reliability of communication system. Recently, intelligent reflecting surfaces (IRS) are a futuristic transmission technology that can achieve high spectral and energy...Show More

Intelligent Reflecting Surface Aided NOMA-HARQ Based IoT Framework for Future Wireless Networks

Debbarni Sarkar;Satyendra Singh Yadav;Vipin Pal;Yogita;Neeraj Kumar

Year: 2023 | Volume: 72, Issue: 5 | Journal Article |

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