Chandan Kumar Singh

According to our database, Chandan Kumar Singh authored at least 15 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Robust UAV-Integrated Active STAR-RIS RSMA Networks: Analysis With Deep Learning Techniques.

Chandan Kumar Singh, Deepak Kumar, Janne Lehtomäki, Zaheer Khan, Matti Latva-aho, Prabhat K. Upadhyay

IEEE Trans. Veh. Technol., May, 2025

Performance Analysis of Active RIS-Assisted Downlink NOMA With Transmit Antenna Selection.

Deepak Kumar, Chandan Kumar Singh, Onel L. Alcaraz López, Vimal Bhatia, Matti Latva-aho

IEEE Trans. Veh. Technol., May, 2025

Performance Analysis of Passive/Active RIS Aided Wireless-Powered IoT Network With Nonlinear Energy Harvesting.

Deepak Kumar, Chandan Kumar Singh, Onel L. Alcaraz López, Vimal Bhatia, Matti Latva-aho

IEEE Trans. Wirel. Commun., February, 2025

LLM-RSPF: Large Language Model-Based Robotic System Planning Framework for Domain Specific Use-cases.

Chandan Kumar Singh, Devesh Kumar, Vipul Sanap, Rajesh Sinha

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

On Performance of a Ris-Aided Iot Network with Direct Link and $\alpha-\mu$ Fading.

Deepak Kumar, Chandan Kumar Singh, Onel L. Alcaraz López, Vimal Bhatia, Matti Latva-aho

Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2025

2024

Performance Analysis With Deep Learning Assay for Cooperative UAV-Borne IRS NOMA Networks Under Non-Ideal System Imperfections.

Chandan Kumar Singh, Prabhat K. Upadhyay, Janne Lehtomäki, Markku J. Juntti

IEEE Trans. Veh. Technol., January, 2024

Analysis With Deep Learning of Robust UAV-Mounted Active IRS NOMA Networks With Imperfections.

Chandan Kumar Singh, Deepak Kumar, Janne J. Lehtomäki, Zaheer Khan, Matti Latva-aho, Prabhat K. Upadhyay

IEEE Open J. Commun. Soc., 2024

2023

Performance Analysis and Deep Learning Assessment of Full-Duplex Overlay Cognitive Radio NOMA Networks Under Non-Ideal System Imperfections.

Chandan Kumar Singh, Prabhat Kumar Upadhyay, Janne J. Lehtomäki

IEEE Trans. Cogn. Commun. Netw., June, 2023

IoT-Inspired Cooperative Spectrum Sharing With Energy Harvesting in UAV-Assisted NOMA Networks: Deep Learning Assessment.

Ratnesh Kumar, Chandan Kumar Singh, Prabhat Kumar Upadhyay, Anas M. Salhab, Ali Arshad Nasir, Mudassir Masood

IEEE Internet Things J., 2023

2022

Energy Harvesting in Overlay Cognitive NOMA Systems With Hardware Impairments.

Chandan Kumar Singh, Vibhum Singh, Prabhat Kumar Upadhyay, Min Lin

IEEE Syst. J., 2022

Overlay Cognitive IoT-Based Full-Duplex Relaying NOMA Systems With Hardware Imperfections.

Chandan Kumar Singh, Prabhat Kumar Upadhyay

IEEE Internet Things J., 2022

Outage Performance with Deep Learning Analysis for UAV-Borne IRS Relaying NOMA Systems with Hardware Impairments.

Chandan Kumar Singh, Prabhat Kumar Upadhyay, Janne Lehtomäki, Markku J. Juntti

Proceedings of the 96th Vehicular Technology Conference, 2022

2020

A Light-weight Deep Feature based Capsule Network.

Chandan Kumar Singh, Vivek Kumar Gangwar, Anima Majumder, Swagat Kumar, Prakash Chanderlal Ambwani, Rajesh Sinha

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Deep Capsule Network based Automatic Batch Code Identification Pipeline for a Real-life Industrial Application.

Chandan Kumar Singh, Vivek Kumar Gangwar, Harsh Vardhan Singh, Karan Narain, Anima Majumder, Swagat Kumar

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Deep Network based Automatic Annotation for Warehouse Automation.

Chandan Kumar Singh, Anima Majumder, Swagat Kumar, Laxmidhar Behera

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018