Big data and deep learning for stochastic wireless channel

Abstract

Continuous advances in wireless communication technology and the proliferation of hand held multimedia devices have been instrumental in the enormous expansion in the data-driven environments. A significant impact of a symbiotic linkage of analytical tool and learning based approaches is to be observed in increasing link reliability of mobile devices due to the application of big data and learning aided mechanisms. In this paper, we analyze the trends of big data and deep learning techniques to handle large data volumes and explore the ways and means for their application while handling the stochastic wireless channel. We formulate certain learning based approach which is expected to contribute towards spectrum conservation and achieve better link reliability. This work focuses on some of the emerging issues involving big data and the roles played by the capabilities of 5G and the advantages that could be achieved due to the use of deep learning.