IEEE seminar by Dr. Subhankar Chatterjee on "Energy Efficient and Spectral Efficient Design in Cooperative Cognitive Radio Networks"

#spectrum #congestion #utilization #5G #networks
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The meteoric rise in the number of wireless devices with bandwidth intensive applications such as interactive and multimedia services in one hand and, the policy of fixed spectrum allocation on the other hand has led to spectrum scarcity for future wireless networks. Cognitive radio has emerged as an innovative technology to alleviate spectrum congestion and improve the spectrum utilization by exploiting spectrum opportunities (spectrum holes). Cognitive radio users or secondary users may utilize the spectrum of licensed primary users without significantly degrading the performance of the licensed network. In general, the aim of a cellular operator should be to ensure spectrum efficient and energy efficient design of the wireless network. However, the optimal performance in terms of energy efficiency usually results in a low spectrum efficiency and vice versa. The talk shall therefore present some resource allocation problems to ensure either spectrum efficient or energy efficient design of the cognitive radio network. Following that, it will also address the trade-off between spectrum efficiency and energy efficiency in the context of cooperative cognitive radio network. The talk will conclude with future research directions towards resource allocation in 5G networks. 



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  • Date: 26 Jul 2017
  • Time: 11:30 AM UTC to 12:30 PM UTC
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  • IIT Kanpur
  • EE
  • Kanpur, Uttar Pradesh
  • India 208016
  • Building: ACES
  • Room Number: DA 229

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  Speakers

Dr. Subhankar Chatterjee

Topic:

Energy Efficient and Spectral Efficient Design in Cooperative Cognitive Radio Networks

The meteoric rise in the number of wireless devices with bandwidth intensive applications such as interactive and multimedia services in one hand and, the policy of fixed spectrum allocation on the other hand has led to spectrum scarcity for future wireless networks. Cognitive radio has emerged as an innovative technology to alleviate spectrum congestion and improve the spectrum utilization by exploiting spectrum opportunities (spectrum holes). Cognitive radio users or secondary users may utilize the spectrum of licensed primary users without significantly degrading the performance of the licensed network. In general, the aim of a cellular operator should be to ensure spectrum efficient and energy efficient design of the wireless network. However, the optimal performance in terms of energy efficiency usually results in a low spectrum efficiency and vice versa. The talk shall therefore present some resource allocation problems to ensure either spectrum efficient or energy efficient design of the cognitive radio network. Following that, it will also address the trade-off between spectrum efficiency and energy efficiency in the context of cooperative cognitive radio network. The talk will conclude with future research directions towards resource allocation in 5G networks. 

Biography:

Subhankar Chatterjee completed his Ph.D. in Information Technology in 2017 from Indian Institute of Engineering Science and Technology Shibpur. Before that he obtained Master of Science in Mobile and Satellite Communications from Electrical and Electronic Engineering department of University of Surrey, United Kingdom in 2010 and a Bachelors’ degree in Electronics and Communications Engineering from ST. Thomas’ College of Engineering and Technology, Kolkata (India) in 2009. During his masters study, he carried out his research works at Institute for Communication Systems (formerly the Centre for Communication Systems Research, CCSR).

 

His research interest lies in cooperative communication, cognitive radio and resource allocation problems in next generation wireless networks. He has worked on resource allocation problems towards energy efficient and spectrum efficient design of cooperative cognitive radio networks, taking into account the presence of malicious behaviour in cooperative spectrum sensing and power acquisition using energy harvesting. His present research works also address energy efficiency-spectrum efficiency trade-off in the cognitive radio framework.