Dr. Banani Talukdar

About

Dr. Banani Talukdar, holds a Ph.D. in Electronics and Communication Engineering from the prestigious National Institute of Technology Silchar (NITS) in Assam, India. Her academic journey showcases a commitment to excellence and a passion for cutting-edge technologies.

Prior to her doctoral achievements, Dr. Banani Talukdar earned an M.Tech degree in Digital Electronics and Communication Engineering from Sikkim Manipal Institute of Technology in 2016. Her academic pursuits began with a B.Tech degree in Electronics and Communication Engineering from Don Bosco College of Engineering and Technology in 2014.

Driven by a keen interest in fostering collaboration and technological advancements, she served as the Student Chair for IEEE ComSoc NITS SBC, playing a pivotal role in creating a conducive environment for students interested in the field of communications technology. Her research interests span Cognitive Radio, RF Energy Harvesting, and Wireless Communications, reflecting her commitment to pushing the boundaries of innovation.

Employment

Employment history is unavailable.

Education

• National Institute Of Technology Silchar Doctor of Philosophy
  2017 - 2023
• Sikkim Manipal University Master of Technology
  2014 - 2016
• Assam Don Bosco University Bachelor of Technology
  2010 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (17)

• Performance of Energy Harvesting Cooperative Cognitive Radio Network Under Higher Order QAM Schemes
  TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON) 2023 DOI: 10.1109/tencon58879.2023.10322548
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• Performance Analysis of a Prediction-Sensing Based Cooperative Energy Harvesting CRN Over Rician Fading Channels
  Wireless Personal Communications 2022 DOI: 10.1007/s11277-022-09935-0
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• Estimation based cyclostationary detection for energy harvesting cooperative cognitive radio network
  Telecommunication Systems 2022 DOI: 10.1007/s11235-021-00846-2
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• Cooperative Spectrum Sensing in Energy Harvesting Cognitive Radio Networks Under Diverse Distribution Models
  Springer Series in Wireless Technology 2021 DOI: 10.1007/978-981-15-6390-4_12
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• Impact of Buffer Size on Proactive Spectrum Handoff Delay in Cognitive Radio Networks
  Springer Series in Wireless Technology 2021 DOI: 10.1007/978-981-15-6390-4_13
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• Performance of Weibull Distribution Function on Prediction Based EH-CRN with Diverse Fusion
  International Journal of Distributed Computing and Technology 2020
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• Performance Analysis of an EH-CRN under Alpha-Mu Fading scenario
  2020 Advanced Communication Technologies and Signal Processing (ACTS) 2020 DOI: 10.1109/acts49415.2020.9350426
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• Performance Analysis of a SWIPT enabled Cognitive Radio Sensor Network using TS protocol
  2020 Advanced Communication Technologies and Signal Processing (ACTS) 2020 DOI: 10.1109/acts49415.2020.9350522
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• Analysis of Teletraffic Parameters for Channel Selection of Secondary Users Under Heterogeneous Cognitive Radio Network
  2020 Advanced Communication Technologies and Signal Processing (ACTS) 2020 DOI: 10.1109/acts49415.2020.9350438
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• Analytical Modelling and Performance Evaluation of a Prediction based EH-Cooperative CRN under Erlang Distribution
  2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) 2019 DOI: 10.1109/ants47819.2019.9118055
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