Deep Learning for Next-Generation Inventive Wireless Networks

Abstract

Recent years have witnessed an exponential rise in the number of connected wireless devices. This number is expected to rise at an unprecedented rate leading to severe challenges in user demands and network infrastructure. With the fusion of artificial intelligence (AI) technologies, these devices have become more smart and intelligent. Using machine learning, efforts are being carried out to artificially train these networks to determine the optimum system requirements automatically. With these intelligent networks generating an enormous volume of data along with the demand for high data rate, machine learning has found its few limitations. Deep learning techniques have emerged as one of the most impressive tools to solve many of these problems. The primary objective of this chapter is to provide insights into deep learning and the applications of deep learning in next-generation inventive wireless networks. The chapter also presents the issues, challenges, and future directions in this research area.