Artificial Intelligent Techniques for Wireless Communication and Networking

8Deep Learning Era for Future 6G Wireless Communications—Theory, Applications, and Challenges

S.K.B. Sangeetha^1* and R. Dhaya²

¹School of Computing, SRM Institute of Technology, Vadapalani Campus, Chennai, India

²Dept. of CS, King Khalid University-Sarat Abidha Campus, Abha, KSA

Abstract

Over hundreds of years have passed since wireless communication technology was first introduced. The developers have made remarkable strides since 1880, including setting up an LTE network. Industry experts, from Verizon to Qualcomm, together with various experts, have a range of ideas about how to accelerate the evolution of wireless communication into — and even beyond — the 21st century. The wireless network technology requires smooth connectivity, easy accessibility, and safe connections at worldwide supply. 5G wireless technology is designed to provide higher data peak speeds, very reduced latency, increased reliability, massive network bandwidth, improved availability, plus an enhanced UI6G. Mobile users with a higher speed, superb coverage and no latency can broaden their existing mobile ecosystems into new worlds. 6 G will impact all sectors to increase the safety of transport, distributed health, agricultural accuracy, digitised logistics and more. Therefore, efforts on 6 G networks from both industry and academia have already been put into the study. Recently deep learning has been used as a new paradigm for designing and optimizing high-intelligence 6 G networks. With the realistic ...