With the continues expansion of the application boundary for wireless communications, the
application environment of wireless communications is becoming increasingly complex and …

With the development of 5G, the future wireless communication network tends to be more
and more intelligent. In the face of new service demands of communication in the future such …

In recent years, artificial intelligence technology has been widely used in the field of wireless
communication to solve the bottleneck problems encountered by traditional wireless …

Abstract Machine learning is one of the most popular research areas, and it is commonly
used in wireless communications and networks. Security and fast communication are among …

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 …

The objective of the thesis is to exploit the recent advances in deep learning-based
techniques for wireless communication systems. The proposed methods aim to improve the …

In modern society, the demand for radio spectrum resources is increasing. As the
information carriers of wireless transmission data, radio signals exhibit the characteristics of …

Deep learning has become the most successful learning method in machine learning. While
deep learning provides a clear advantage over other machine learning methods, especially …

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 …

With tremendous usage of mobile applications, the demand for high speed and low latency
connections of the huge number of mobile users is increasing. Cloud radio access network …