K Kim, J Myung, J Seo - Electronics and Telecommunications …, 2018 - koreascience.kr
Deep learning is a promising solution to a number of complex problems based on its inherent capability to approximate almost all types of functions without the demand for …
LI Panpan, XIE Zhengxia… - Telecommunications …, 2022 - search.ebscohost.com
With the continues expansion of the application boundary for wireless communications, the application environment of wireless communications is becoming increasingly complex and …
Thesis Title Page 1 Deep Learning Techniques for Next Generation Wireless Networks A thesis submitted to The University of Manchester for the degree of Doctor of Philosophy in the Faculty …
As a promising machine learning tool to handle the accurate pattern recognition from complex raw data, deep learning (DL) is becoming a powerful method to add intelligence to …
Shewangi, R Garg - International Conference on Next Generation Systems …, 2022 - Springer
Internet-connected mobile devices are increasing day by day in almost every domain which created a surge in mobile data traffic so an advanced system is highly needed that can …
Deep learning offers an opportunity to address various problems. In wireless networks, deep learning has been proposed to be used for various tasks, such as resource management …
Wireless communications are envisioned to bring about dramatic changes in the future, with a variety of emerging applications, such as virtual reality, Internet of Things, and so on …
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 …
J Zhao, C Liu, J Liao, D Wang - Available at SSRN 4821023 - papers.ssrn.com
Current wireless communication faces challenges of spectrum congestion, interference, and accommodating Internet of Things and 5G demands. Artificial intelligence (AI) has recently …