Future wireless networks have a substantial potential in terms of supporting a broad range of complex compelling applications both in military and civilian fields, where the users are able …
A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless …
Abstract The Internet of Things (IoT) is expected to require more effective and efficient wireless communications than ever before. For this reason, techniques such as spectrum …
H Yang, X Xie, M Kadoch - IEEE Network, 2020 - ieeexplore.ieee.org
With the widespread deployment of wireless technologies and IoT, 5G wireless networks will support various communication connectivity and services for the huge number of wireless …
XL Huang, X Ma, F Hu - Mobile Networks and Applications, 2018 - Springer
Along with the fast developing of mobile communications technologies, the amount of high quality wireless services is required and increasing exponentially. According to the …
Y Liu, S Bi, Z Shi, L Hanzo - IEEE Vehicular Technology …, 2019 - ieeexplore.ieee.org
We have witnessed an exponential growth in commercial data services, which has led to the so-called big data era. Machine learning, one of the most promising artificial intelligence (AI) …
In order to effectively provide ultra reliable low latency communications and pervasive connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …
The convenience of availing quality services at affordable costs anytime and anywhere makes mobile technology very popular among users. Due to this popularity, there has been …
This paper deals with the use of emerging deep learning techniques in future wireless communication networks. It will be shown that the data-driven approaches should not …