Chhagan Charan

About

Chhagan Charan is working as an Assistant Professor in the Department of Electronics and Communication Engineering, National Institute of Technology Kurukshetra, India. He received his B. Tech (Bachelor of Technology) degree in Electronics and Communication Engineering and M. Tech. Degree (Master of Technology) in Microwave and Optical Communication Engineering from Delhi Technological University (DTU), Delhi in 2011. His Research interests include Cognitive Radio, Digital communication, Microwave engg., Wireless sensor networks, and Next generation of communication systems.

Employment

• National Institute of Technology Kurukshetra Assistant Professor
  2013 - Present

Education

• Delhi Technological University MTech
  2009 - 2011
• University of Rajasthan Bachelor in engineering
  2005 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (23)

• Coverage Analysis Under Imperfect SIC for EH-Enabled UAV-NOMA Cellular Network in Finite Blocklength Framework
  IEEE Wireless Communications Letters 2024 DOI: 10.1109/LWC.2024.3417490
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• Energy-Harvesting-Enabled UAV Relay-Assisted NOMA Network Under Finite Blocklength
  IEEE Internet of Things Journal 2024 DOI: 10.1109/JIOT.2024.3378981
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• Eigenvalue-Based Spectrum Sensing Under Correlated Noise for Multi-dimensional Cognitive Radio Receiver
  Wireless Personal Communications 2023 DOI: 10.1007/s11277-023-10765-x
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• Co-variance Based Adaptive Threshold Spectrum Detection Optimized with Chameleon Swarm Optimization for Optimum Threshold Selection in Cognitive Radio Networks
  Wireless Personal Communications 2023 DOI: 10.1007/s11277-023-10647-2
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• A Comparative Analysis on Optimal Power Allocation and Pairing of User in Downlink NOMA System
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-99-0981-0_5
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• Analysis of NOMA based UAV assisted short-packet communication system and blocklength minimization for IoT applications
  Wireless Networks 2022 DOI: 10.1007/s11276-022-02996-w
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• NOMA-based UAV system under finite blocklength regime with analysis in Rician fading channel
  Digital Signal Processing: A Review Journal 2022 DOI: 10.1016/j.dsp.2021.103253
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• Preface
  Lecture Notes on Data Engineering and Communications Technologies 2022
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• Analysis of Covariance Ratio Based Detection Techniques for Cognitive Radio Networks
  SSRN 2020 DOI: 10.2139/ssrn.3574142
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• Cooperative spectrum sensing using eigenvalue-based double-threshold detection scheme for cognitive radio networks
  Advances in Intelligent Systems and Computing 2019 DOI: 10.1007/978-981-13-1822-1_18
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