Big Spectrum Data and Deep Learning Techniques for Cognitive Wireless Networks

Big Spectrum Data and Deep Learning Techniques for Cognitive Wireless Networks

Punam Dutta Choudhury, Ankumoni Bora, Kandarpa Kumar Sarma
Copyright: © 2018 |Pages: 28
ISBN13: 9781522530152|ISBN10: 1522530150|EISBN13: 9781522530169
DOI: 10.4018/978-1-5225-3015-2.ch003
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MLA

Choudhury, Punam Dutta, et al. "Big Spectrum Data and Deep Learning Techniques for Cognitive Wireless Networks." Deep Learning Innovations and Their Convergence With Big Data, edited by S. Karthik, et al., IGI Global, 2018, pp. 33-60. https://doi.org/10.4018/978-1-5225-3015-2.ch003

APA

Choudhury, P. D., Bora, A., & Sarma, K. K. (2018). Big Spectrum Data and Deep Learning Techniques for Cognitive Wireless Networks. In S. Karthik, A. Paul, & N. Karthikeyan (Eds.), Deep Learning Innovations and Their Convergence With Big Data (pp. 33-60). IGI Global. https://doi.org/10.4018/978-1-5225-3015-2.ch003

Chicago

Choudhury, Punam Dutta, Ankumoni Bora, and Kandarpa Kumar Sarma. "Big Spectrum Data and Deep Learning Techniques for Cognitive Wireless Networks." In Deep Learning Innovations and Their Convergence With Big Data, edited by S. Karthik, Anand Paul, and N. Karthikeyan, 33-60. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3015-2.ch003

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Abstract

The present world is data driven. From social sciences to frontiers of research in science and engineering, one common factor is the continuous data generation. It has started to affect our daily lives. Big data concepts are found to have significant impact in modern wireless communication systems. The analytical tools of big data have been identified as full scale autonomous mode of operation which necessitates a strong role to be played by learning based systems. The chapter has focused on the synergy of big data and deep learning for generating better efficiency in evolving communication frameworks. The chapter has also included discussion on machine learning and cognitive technologies w.r.t. big data and mobile communication. Cyber Physical Systems being indispensable elements of M2M communication, Wireless Sensor Networks and its role in CPS, cognitive radio networking and spectrum sensing have also been discussed. It is expected that spectrum sensing, big data and deep learning will play vital roles in enhancing the capabilities of wireless communication systems.

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